diff --git a/benchmark_results.md b/benchmark_results.md
index bbd374264..5037ffa3a 100644
--- a/benchmark_results.md
+++ b/benchmark_results.md
@@ -1,161 +1,114 @@
-| Model | Context | Top-1 (%) | Top-5 (%) | Params(M) | Recipe | Download |
-| -------------- | -------- | --------- | --------- | --------- | ------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------- |
-| bit_resnet50 | D910x8-G | 76.81 | 93.17 | 25.55 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/bit/bit_resnet50_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/bit/BiT_resnet50-1e4795a4.ckpt) |
-| bit_resnet50x3 | D910x8-G | 80.63 | 95.12 | 217.31 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/bit/bit_resnet50x3_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/bit/BiT_resnet50x3-a960f91f.ckpt) |
-| bit_resnet101 | D910x8-G | 77.93 | 93.75 | 44.54 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/bit/bit_resnet101_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/bit/BiT_resnet101-2efa9106.ckpt) |
-| cmt_small | D910x8-G | 83.24 | 96.41 | 26.09 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/cmt/cmt_small_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/cmt/cmt_small-6858ee22.ckpt) |
-| coat_lite_tiny | D910x8-G | 77.35 | 93.43 | 5.72 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/coat/coat_lite_tiny_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/coat/coat_lite_tiny-fa7bf894.ckpt) |
-| coat_lite_mini | D910x8-G | 78.51 | 93.84 | 11.01 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/coat/coat_lite_mini_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/coat/coat_lite_mini-55a52f05.ckpt) |
-| coat_tiny | D910x8-G | 79.67 | 94.88 | 5.50 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/coat/coat_tiny_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/coat/coat_tiny-071cb792.ckpt) |
-| coat_mini | D910x8-G | 81.08 | 95.34 | 10.34 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/coat/coat_mini_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/coat/coat_mini-57c5bce7.ckpt) |
-| convit_tiny | D910x8-G | 73.66 | 91.72 | 5.71 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/convit/convit_tiny_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/convit/convit_tiny-e31023f2.ckpt) |
-| convit_tiny_plus | D910x8-G | 77.00 | 93.60 | 9.97 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/convit/convit_tiny_plus_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/convit/convit_tiny_plus-e9d7fb92.ckpt) |
-| convit_small | D910x8-G | 81.63 | 95.59 | 27.78 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/convit/convit_small_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/convit/convit_small-ba858604.ckpt) |
-| convit_small_plus | D910x8-G | 81.80 | 95.42 | 48.98 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/convit/convit_small_plus_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/convit/convit_small_plus-2352b9f7.ckpt) |
-| convit_base | D910x8-G | 82.10 | 95.52 | 86.54 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/convit/convit_base_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/convit/convit_base-c61b808c.ckpt) |
-| convit_base_plus | D910x8-G | 81.96 | 95.04 | 153.13 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/convit/convit_base_plus_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/convit/convit_base_plus-5c61c9ce.ckpt) |
-| convnext_tiny | D910x64-G | 81.91 | 95.79 | 28.59 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/convnext/convnext_tiny_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/convnext/convnext_tiny-ae5ff8d7.ckpt) |
-| convnext_small | D910x64-G | 83.40 | 96.36 | 50.22 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/convnext/convnext_small_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/convnext/convnext_small-e23008f3.ckpt) |
-| convnext_base | D910x64-G | 83.32 | 96.24 | 88.59 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/convnext/convnext_base_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/convnext/convnext_base-ee3544b8.ckpt) |
-| convnextv2_tiny | D910x8-G | 82.43 | 95.98 | 28.64 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/convnextv2/convnextv2_tiny_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/convnextv2/convnextv2_tiny-d441ba2c.ckpt) |
-| crossvit_9 | D910x8-G | 73.56 | 91.79 | 8.55 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/crossvit/crossvit_9_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/crossvit/crossvit_9-e74c8e18.ckpt) |
-| crossvit_15 | D910x8-G | 81.08 | 95.33 | 27.27 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/crossvit/crossvit_15_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/crossvit/crossvit_15-eaa43c02.ckpt) |
-| crossvit_18 | D910x8-G | 81.93 | 95.75 | 43.27 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/crossvit/crossvit_18_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/crossvit/crossvit_18-ca0a2e43.ckpt) |
-| densenet121 | D910x8-G | 75.64 | 92.84 | 8.06 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/densenet/densenet_121_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/densenet/densenet121-120_5004_Ascend.ckpt) |
-| densenet161 | D910x8-G | 79.09 | 94.66 | 28.90 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/densenet/densenet_161_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/densenet/densenet161-120_5004_Ascend.ckpt) |
-| densenet169 | D910x8-G | 77.26 | 93.71 | 14.31 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/densenet/densenet_169_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/densenet/densenet169-120_5004_Ascend.ckpt) |
-| densenet201 | D910x8-G | 78.14 | 94.08 | 20.24 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/densenet/densenet_201_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/densenet/densenet201-120_5004_Ascend.ckpt) |
-| dpn92 | D910x8-G | 79.46 | 94.49 | 37.79 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/dpn/dpn92_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/dpn/dpn92-e3e0fca.ckpt) |
-| dpn98 | D910x8-G | 79.94 | 94.57 | 61.74 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/dpn/dpn98_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/dpn/dpn98-119a8207.ckpt) |
-| dpn107 | D910x8-G | 80.05 | 94.74 | 87.13 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/dpn/dpn107_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/dpn/dpn107-7d7df07b.ckpt) |
-| dpn131 | D910x8-G | 80.07 | 94.72 | 79.48 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/dpn/dpn131_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/dpn/dpn131-47f084b3.ckpt) |
-| edgenext_xx_small | D910x8-G | 71.02 | 89.99 | 1.33 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/edgenext/edgenext_xx_small_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/edgenext/edgenext_xx_small-afc971fb.ckpt) |
-| edgenext_x_small | D910x8-G | 75.14 | 92.50 | 2.34 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/edgenext/edgenext_x_small_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/edgenext/edgenext_x_small-a200c6fc.ckpt) |
-| edgenext_small | D910x8-G | 79.15 | 94.39 | 5.59 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/edgenext/edgenext_small_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/edgenext/edgenext_small-f530c372.ckpt) |
-| edgenext_base | D910x8-G | 82.24 | 95.94 | 18.51 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/edgenext/edgenext_base_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/edgenext/edgenext_base-4335e9dc.ckpt) |
-| efficientnet_b0 | D910x64-G | 76.89 | 93.16 | 5.33 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/efficientnet/efficientnet_b0_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/efficientnet/efficientnet_b0-103ec70c.ckpt) |
-| efficientnet_b1 | D910x64-G | 78.95 | 94.34 | 7.86 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/efficientnet/efficientnet_b1_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/efficientnet/efficientnet_b1-f8c6b13f.ckpt) |
-| ghostnet_050 | D910x8-G | 66.03 | 86.64 | 2.60 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/ghostnet/ghostnet_050_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/ghostnet/ghostnet_050-85b91860.ckpt) |
-| ghostnet_100 | D910x8-G | 73.78 | 91.66 | 5.20 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/ghostnet/ghostnet_100_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/ghostnet/ghostnet_100-bef8025a.ckpt) |
-| ghostnet_130 | D910x8-G | 75.50 | 92.56 | 7.39 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/ghostnet/ghostnet_130_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/ghostnet/ghostnet_130-cf4c235c.ckpt) |
-| googlenet | D910x8-G | 72.68 | 90.89 | 6.99 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/googlenet/googlenet_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/googlenet/googlenet-5552fcd3.ckpt) |
-| halonet_50t | D910X8-G | 79.53 | 94.79 | 22.79 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/halonet/halonet_50t_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/halonet/halonet_50t-533da6be.ckpt) |
-| hrnet_w32 | D910x8-G | 80.64 | 95.44 | 41.30 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/hrnet/hrnet_w32_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/hrnet/hrnet_w32-cc4fbd91.ckpt) |
-| hrnet_w48 | D910x8-G | 81.19 | 95.69 | 77.57 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/hrnet/hrnet_w48_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/hrnet/hrnet_w48-2e3399cd.ckpt) |
-| inception_v3 | D910x8-G | 79.11 | 94.40 | 27.20 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/inceptionv3/inception_v3_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/inception_v3/inception_v3-38f67890.ckpt) |
-| inception_v4 | D910x8-G | 80.88 | 95.34 | 42.74 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/inceptionv4/inception_v4_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/inception_v4/inception_v4-db9c45b3.ckpt) |
-| mixnet_s | D910x8-G | 75.52 | 92.52 | 4.17 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/mixnet/mixnet_s_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/mixnet/mixnet_s-2a5ef3a3.ckpt) |
-| mixnet_m | D910x8-G | 76.64 | 93.05 | 5.06 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/mixnet/mixnet_m_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/mixnet/mixnet_m-74cc4cb1.ckpt) |
-| mixnet_l | D910x8-G | 78.73 | 94.31 | 7.38 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/mixnet/mixnet_l_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/mixnet/mixnet_l-978edf2b.ckpt) |
-| mnasnet_050 | D910x8-G | 68.07 | 88.09 | 2.14 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/mnasnet/mnasnet_0.5_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/mnasnet/mnasnet_050-7d8bf4db.ckpt) |
-| mnasnet_075 | D910x8-G | 71.81 | 90.53 | 3.20 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/mnasnet/mnasnet_0.75_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/mnasnet/mnasnet_075-465d366d.ckpt) |
-| mnasnet_100 | D910x8-G | 74.28 | 91.70 | 4.42 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/mnasnet/mnasnet_1.0_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/mnasnet/mnasnet_100-1bcf43f8.ckpt) |
-| mnasnet_130 | D910x8-G | 75.65 | 92.64 | 6.33 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/mnasnet/mnasnet_1.3_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/mnasnet/mnasnet_130-a43a150a.ckpt) |
-| mnasnet_140 | D910x8-G | 76.01 | 92.83 | 7.16 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/mnasnet/mnasnet_1.4_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/mnasnet/mnasnet_140-7e20bb30.ckpt) |
-| mobilenet_v1_025 | D910x8-G | 53.87 | 77.66 | 0.47 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/mobilenetv1/mobilenet_v1_0.25_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/mobilenet/mobilenetv1/mobilenet_v1_025-d3377fba.ckpt) |
-| mobilenet_v1_050 | D910x8-G | 65.94 | 86.51 | 1.34 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/mobilenetv1/mobilenet_v1_0.5_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/mobilenet/mobilenetv1/mobilenet_v1_050-23e9ddbe.ckpt) |
-| mobilenet_v1_075 | D910x8-G | 70.44 | 89.49 | 2.60 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/mobilenetv1/mobilenet_v1_0.75_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/mobilenet/mobilenetv1/mobilenet_v1_075-5bed0c73.ckpt) |
-| mobilenet_v1_100 | D910x8-G | 72.95 | 91.01 | 4.25 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/mobilenetv1/mobilenet_v1_1.0_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/mobilenet/mobilenetv1/mobilenet_v1_100-91c7b206.ckpt) |
-| mobilenet_v2_075 | D910x8-G | 69.98 | 89.32 | 2.66 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/mobilenetv2/mobilenet_v2_0.75_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/mobilenet/mobilenetv2/mobilenet_v2_075-bd7bd4c4.ckpt) |
-| mobilenet_v2_100 | D910x8-G | 72.27 | 90.72 | 3.54 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/mobilenetv2/mobilenet_v2_1.0_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/mobilenet/mobilenetv2/mobilenet_v2_100-d5532038.ckpt) |
-| mobilenet_v2_140 | D910x8-G | 75.56 | 92.56 | 6.15 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/mobilenetv2/mobilenet_v2_1.4_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/mobilenet/mobilenetv2/mobilenet_v2_140-98776171.ckpt) |
-| mobilenet_v3_small_100 | D910x8-G | 68.10 | 87.86 | 2.55 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/mobilenetv3/mobilenet_v3_small_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/mobilenet/mobilenetv3/mobilenet_v3_small_100-509c6047.ckpt) |
-| mobilenet_v3_large_100 | D910x8-G | 75.23 | 92.31 | 5.51 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/mobilenetv3/mobilenet_v3_large_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/mobilenet/mobilenetv3/mobilenet_v3_large_100-1279ad5f.ckpt) |
-| mobilevit_xx_small | D910x8-G | 68.91 | 88.91 | 1.27 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/mobilevit/mobilevit_xx_small_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/mobilevit/mobilevit_xx_small-af9da8a0.ckpt) |
-| mobilevit_x_small | D910x8-G | 74.99 | 92.32 | 2.32 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/mobilevit/mobilevit_x_small_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/mobilevit/mobilevit_x_small-673fc6f2.ckpt) |
-| mobilevit_small | D910x8-G | 78.47 | 94.18 | 5.59 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/mobilevit/mobilevit_small_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/mobilevit/mobilevit_small-caf79638.ckpt) |
-| nasnet_a_4x1056 | D910x8-G | 73.65 | 91.25 | 5.33 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/nasnet/nasnet_a_4x1056_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/nasnet/nasnet_a_4x1056-0fbb5cdd.ckpt) |
-| pit_ti | D910x8-G | 72.96 | 91.33 | 4.85 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/pit/pit_ti_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/pit/pit_ti-e647a593.ckpt) |
-| pit_xs | D910x8-G | 78.41 | 94.06 | 10.61 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/pit/pit_xs_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/pit/pit_xs-fea0d37e.ckpt) |
-| pit_s | D910x8-G | 80.56 | 94.80 | 23.46 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/pit/pit_s_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/pit/pit_s-3c1ba36f.ckpt) |
-| pit_b | D910x8-G | 81.87 | 95.04 | 73.76 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/pit/pit_b_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/pit/pit_b-2411c9b6.ckpt) |
-| poolformer_s12 | D910x8-G | 77.33 | 93.34 | 11.92 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/poolformer/poolformer_s12_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/poolformer/poolformer_s12-5be5c4e4.ckpt) |
-| pvt_tiny | D910x8-G | 74.81 | 92.18 | 13.23 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/pvt/pvt_tiny_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/pvt/pvt_tiny-6abb953d.ckpt) |
-| pvt_small | D910x8-G | 79.66 | 94.71 | 24.49 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/pvt/pvt_small_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/pvt/pvt_small-213c2ed1.ckpt) |
-| pvt_medium | D910x8-G | 81.82 | 95.81 | 44.21 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/pvt/pvt_medium_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/pvt/pvt_medium-469e6802.ckpt) |
-| pvt_large | D910x8-G | 81.75 | 95.70 | 61.36 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/pvt/pvt_large_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/pvt/pvt_large-bb6895d7.ckpt) |
-| pvt_v2_b0 | D910x8-G | 71.50 | 90.60 | 3.67 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/pvtv2/pvt_v2_b0_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/pvt_v2/pvt_v2_b0-1c4f6683.ckpt) |
-| pvt_v2_b1 | D910x8-G | 78.91 | 94.49 | 14.01 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/pvtv2/pvt_v2_b1_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/pvt_v2/pvt_v2_b1-3ceb171a.ckpt) |
-| pvt_v2_b2 | D910x8-G | 81.99 | 95.74 | 25.35 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/pvtv2/pvt_v2_b2_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/pvt_v2/pvt_v2_b2-0565d18e.ckpt) |
-| pvt_v2_b3 | D910x8-G | 82.84 | 96.24 | 45.24 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/pvtv2/pvt_v2_b3_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/pvt_v2/pvt_v2_b3-feaae3fc.ckpt) |
-| pvt_v2_b4 | D910x8-G | 83.14 | 96.27 | 62.56 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/pvtv2/pvt_v2_b4_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/pvt_v2/pvt_v2_b4-1cf4bc03.ckpt) |
-| regnet_x_200mf | D910x8-G | 68.74 | 88.38 | 2.68 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/regnet/regnet_x_200mf_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/regnet/regnet_x_200mf-0c2b1eb5.ckpt) |
-| regnet_x_400mf | D910x8-G | 73.16 | 91.35 | 5.16 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/regnet/regnet_x_400mf_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/regnet/regnet_x_400mf-4848837d.ckpt) |
-| regnet_x_600mf | D910x8-G | 74.34 | 92.00 | 6.20 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/regnet/regnet_x_600mf_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/regnet/regnet_x_600mf-ccd76c94.ckpt) |
-| regnet_x_800mf | D910x8-G | 76.04 | 92.97 | 7.26 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/regnet/regnet_x_800mf_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/regnet/regnet_x_800mf-617227f4.ckpt) |
-| regnet_y_200mf | D910x8-G | 70.30 | 89.61 | 3.16 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/regnet/regnet_y_200mf_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/regnet/regnet_y_200mf-76a2f720.ckpt) |
-| regnet_y_400mf | D910x8-G | 73.91 | 91.84 | 4.34 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/regnet/regnet_y_400mf_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/regnet/regnet_y_400mf-d496799d.ckpt) |
-| regnet_y_600mf | D910x8-G | 75.69 | 92.50 | 6.06 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/regnet/regnet_y_600mf_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/regnet/regnet_y_600mf-a84e19b2.ckpt) |
-| regnet_y_800mf | D910x8-G | 76.52 | 93.10 | 6.26 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/regnet/regnet_y_800mf_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/regnet/regnet_y_800mf-9b5211bd.ckpt) |
-| regnet_y_16gf | D910x8-G | 82.92 | 96.29 | 83.71 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/regnet/regnet_y_16gf_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/regnet/regnet_y_16gf-c30a856f.ckpt) |
-| repmlp_t224 | D910x8-G | 76.71 | 93.30 | 38.30 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/repmlp/repmlp_t224_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/repmlp/repmlp_t224-8dbedd00.ckpt) |
-| repvgg_a0 | D910x8-G | 72.19 | 90.75 | 9.13 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/repvgg/repvgg_a0_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/repvgg/repvgg_a0-6e71139d.ckpt) |
-| repvgg_a1 | D910x8-G | 74.19 | 91.89 | 14.12 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/repvgg/repvgg_a1_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/repvgg/repvgg_a1-539513ac.ckpt) |
-| repvgg_a2 | D910x8-G | 76.63 | 93.42 | 28.25 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/repvgg/repvgg_a2_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/repvgg/repvgg_a2-cdc90b11.ckpt) |
-| repvgg_b0 | D910x8-G | 74.99 | 92.40 | 15.85 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/repvgg/repvgg_b0_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/repvgg/repvgg_b0-54d5862c.ckpt) |
-| repvgg_b1 | D910x8-G | 78.81 | 94.37 | 57.48 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/repvgg/repvgg_b1_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/repvgg/repvgg_b1-4673797.ckpt) |
-| repvgg_b2 | D910x64-G | 79.29 | 94.66 | 89.11 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/repvgg/repvgg_b2_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/repvgg/repvgg_b2-7c91ccd4.ckpt) |
-| repvgg_b3 | D910x64-G | 80.46 | 95.34 | 123.19 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/repvgg/repvgg_b3_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/repvgg/repvgg_b3-30b35f52.ckpt) |
-| repvgg_b1g2 | D910x8-G | 78.03 | 94.09 | 45.85 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/repvgg/repvgg_b1g2_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/repvgg/repvgg_b1g2-f0dc714f.ckpt) |
-| repvgg_b1g4 | D910x8-G | 77.64 | 94.03 | 40.03 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/repvgg/repvgg_b1g4_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/repvgg/repvgg_b1g4-bd93230e.ckpt) |
-| repvgg_b2g4 | D910x8-G | 78.8 | 94.36 | 61.84 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/repvgg/repvgg_b2g4_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/repvgg/repvgg_b2g4-e79eeadd.ckpt) |
-| res2net50 | D910x8-G | 79.35 | 94.64 | 25.76 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/res2net/res2net_50_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/res2net/res2net50-f42cf71b.ckpt) |
-| res2net101 | D910x8-G | 79.56 | 94.70 | 45.33 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/res2net/res2net_101_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/res2net/res2net101-8ae60132.ckpt) |
-| res2net50_v1b | D910x8-G | 80.32 | 95.09 | 25.77 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/res2net/res2net_50_v1b_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/res2net/res2net50_v1b-99304e92.ckpt) |
-| res2net101_v1b | D910x8-G | 81.14 | 95.41 | 45.35 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/res2net/res2net_101_v1b_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/res2net/res2net101_v1b-7e6db001.ckpt) |
-| resnest50 | D910x8-G | 80.81 | 95.16 | 27.55 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/resnest/resnest50_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/resnest/resnest50-f2e7fc9c.ckpt) |
-| resnest101 | D910x8-G | 82.90 | 96.12 | 48.41 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/resnest/resnest101_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/resnest/resnest101-7cc5c258.ckpt) |
-| resnet18 | D910x8-G | 70.21 | 89.62 | 11.70 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/resnet/resnet_18_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/resnet/resnet18-1e65cd21.ckpt) |
-| resnet34 | D910x8-G | 74.15 | 91.98 | 21.81 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/resnet/resnet_34_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/resnet/resnet34-f297d27e.ckpt) |
-| resnet50 | D910x8-G | 76.69 | 93.50 | 25.61 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/resnet/resnet_50_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/resnet/resnet50-e0733ab8.ckpt) |
-| resnet101 | D910x8-G | 78.24 | 94.09 |44.65 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/resnet/resnet_101_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/resnet/resnet101-689c5e77.ckpt) |
-| resnet152 | D910x8-G | 78.72 | 94.45 | 60.34| [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/resnet/resnet_152_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/resnet/resnet152-beb689d8.ckpt) |
-| resnetv2_50 | D910x8-G | 76.90 | 93.37 | 25.60 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/resnetv2/resnetv2_50_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/resnetv2/resnetv2_50-3c2f143b.ckpt) |
-| resnetv2_101 | D910x8-G | 78.48 | 94.23 | 44.55 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/resnetv2/resnetv2_101_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/resnetv2/resnetv2_101-5d4c49a1.ckpt) |
-| resnext50_32x4d | D910x8-G | 78.53 | 94.10 | 25.10 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/resnext/resnext50_32x4d_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/resnext/resnext50_32x4d-af8aba16.ckpt) |
-| resnext101_32x4d | D910x8-G | 79.83 | 94.80 | 44.32 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/resnext/resnext101_32x4d_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/resnext/resnext101_32x4d-3c1e9c51.ckpt) |
-| resnext101_64x4d | D910x8-G | 80.30 | 94.82 | 83.66 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/resnext/resnext101_64x4d_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/resnext/resnext101_64x4d-8929255b.ckpt) |
-| resnext152_64x4d | D910x8-G | 80.52 | 95.00 | 115.27 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/resnext/resnext152_64x4d_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/resnext/resnext152_64x4d-3aba275c.ckpt) |
-| rexnet_09 | D910x8-G | 77.06 | 93.41 | 4.13 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/rexnet/rexnet_x09_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/rexnet/rexnet_09-da498331.ckpt) |
-| rexnet_10 | D910x8-G | 77.38 | 93.60 | 4.84 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/rexnet/rexnet_x10_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/rexnet/rexnet_10-c5fb2dc7.ckpt) |
-| rexnet_13 | D910x8-G | 79.06 | 94.28 | 7.61 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/rexnet/rexnet_x13_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/rexnet/rexnet_13-a49c41e5.ckpt) |
-| rexnet_15 | D910x8-G | 79.95 | 94.74 | 9.79 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/rexnet/rexnet_x15_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/rexnet/rexnet_15-37a931d3.ckpt) |
-| rexnet_20 | D910x8-G | 80.64 | 94.99 | 16.45 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/rexnet/rexnet_x20_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/rexnet/rexnet_20-c5810914.ckpt) |
-| seresnet18 | D910x8-G | 71.81 | 90.49 | 11.80 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/senet/seresnet18_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/senet/seresnet18-7880643b.ckpt) |
-| seresnet34 | D910x8-G | 75.38 | 92.50 | 21.98 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/senet/seresnet34_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/senet/seresnet34-8179d3c9.ckpt) |
-| seresnet50 | D910x8-G | 78.32 | 94.07 | 28.14 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/senet/seresnet50_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/senet/seresnet50-ff9cd214.ckpt) |
-| seresnext26_32x4d | D910x8-G | 77.17 | 93.42 | 16.83 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/senet/seresnext26_32x4d_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/senet/seresnext26_32x4d-5361f5b6.ckpt) |
-| seresnext50_32x4d | D910x8-G | 78.71 | 94.36 | 27.63 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/senet/seresnext50_32x4d_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/senet/seresnext50_32x4d-fdc35aca.ckpt) |
-| shufflenet_v1_g3_05 | D910x8-G | 57.05 | 79.73 | 0.73 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/shufflenetv1/shufflenet_v1_0.5_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/shufflenet/shufflenetv1/shufflenet_v1_g3_05-42cfe109.ckpt) |
-| shufflenet_v1_g3_10 | D910x8-G | 67.77 | 87.73 | 1.89 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/shufflenetv1/shufflenet_v1_1.0_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/shufflenet/shufflenetv1/shufflenet_v1_g3_10-245f0ccf.ckpt) |
-| shufflenet_v2_x0_5 | D910x8-G | 60.53 | 82.11 | 1.37 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/shufflenetv2/shufflenet_v2_0.5_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/shufflenet/shufflenetv2/shufflenet_v2_x0_5-8c841061.ckpt) |
-| shufflenet_v2_x1_0 | D910x8-G | 69.47 | 88.88 | 2.29 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/shufflenetv2/shufflenet_v2_1.0_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/shufflenet/shufflenetv2/shufflenet_v2_x1_0-0da4b7fa.ckpt) |
-| shufflenet_v2_x1_5 | D910x8-G | 72.79 | 90.93 | 3.53 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/shufflenetv2/shufflenet_v2_1.5_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/shufflenet/shufflenetv2/shufflenet_v2_x1_5-00b56131.ckpt) |
-| shufflenet_v2_x2_0 | D910x8-G | 75.07 | 92.08 | 7.44 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/shufflenetv2/shufflenet_v2_2.0_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/shufflenet/shufflenetv2/shufflenet_v2_x2_0-ed8e698d.ckpt) |
-| skresnet18 | D910x8-G | 73.09 | 91.20 | 11.97 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/sknet/skresnet18_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/sknet/skresnet18-868228e5.ckpt) |
-| skresnet34 | D910x8-G | 76.71 | 93.10 | 22.31 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/sknet/skresnet34_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/sknet/skresnet34-d668b629.ckpt) |
-| skresnext50_32x4d | D910x8-G | 79.08 | 94.60 | 37.31 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/sknet/skresnext50_32x4d_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/sknet/skresnext50_32x4d-395413a2.ckpt) |
-| squeezenet1_0 | D910x8-G | 59.01 | 81.01 | 1.25 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/squeezenet/squeezenet_1.0_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/squeezenet/squeezenet1_0-e2d78c4a.ckpt) |
-| squeezenet1_0 | GPUx8-G | 58.83 | 81.08 | 1.25 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/squeezenet/squeezenet_1.0_gpu.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/squeezenet/squeezenet1_0_gpu-685f5941.ckpt) |
-| squeezenet1_1 | D910x8-G | 58.44 | 80.84 | 1.24 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/squeezenet/squeezenet_1.1_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/squeezenet/squeezenet1_1-da256d3a.ckpt) |
-| squeezenet1_1 | GPUx8-G | 59.18 | 81.41 | 1.24 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/squeezenet/squeezenet_1.1_gpu.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/squeezenet/squeezenet1_1_gpu-0e33234a.ckpt) |
-| swin_tiny | D910x8-G | 80.82 | 94.80 | 33.38 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/swintransformer/swin_tiny_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/swin/swin_tiny-0ff2f96d.ckpt) |
-| swinv2_tiny_window8 | D910x8-G | 81.42 | 95.43 | 28.78 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/swintransformerv2/swinv2_tiny_window8_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/swinv2/swinv2_tiny_window8-3ef8b787.ckpt) |
-| vgg11 | D910x8-G | 71.86 | 90.50 | 132.86 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/vgg/vgg11_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/vgg/vgg11-ef31d161.ckpt) |
-| vgg13 | D910x8-G | 72.87 | 91.02 | 133.04 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/vgg/vgg13_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/vgg/vgg13-da805e6e.ckpt) |
-| vgg16 | D910x8-G | 74.61 | 91.87 | 138.35 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/vgg/vgg16_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/vgg/vgg16-95697531.ckpt) |
-| vgg19 | D910x8-G | 75.21 | 92.56 | 143.66 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/vgg/vgg19_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/vgg/vgg19-bedee7b6.ckpt) |
-| visformer_tiny | D910x8-G | 78.28 | 94.15 | 10.33 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/visformer/visformer_tiny_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/visformer/visformer_tiny-daee0322.ckpt) |
-| visformer_tiny_v2 | D910x8-G | 78.82 | 94.41 | 9.38 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/visformer/visformer_tiny_v2_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/visformer/visformer_tiny_v2-6711a758.ckpt) |
-| visformer_small | D910x8-G | 81.76 | 95.88 | 40.25 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/visformer/visformer_small_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/visformer/visformer_small-6c83b6db.ckpt) |
-| visformer_small_v2 | D910x8-G | 82.17 | 95.90 | 23.52 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/visformer/visformer_small_v2_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/visformer/visformer_small_v2-63674ade.ckpt) |
-| vit_b_32_224 | D910x8-G | 75.86 | 92.08 | 87.46 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/vit/vit_b32_224_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/vit/vit_b_32_224-7553218f.ckpt) |
-| vit_l_16_224 | D910x8-G | 76.34 | 92.79 | 303.31 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/vit/vit_l16_224_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/vit/vit_l_16_224-f02b2487.ckpt) |
-| vit_l_32_224 | D910x8-G | 73.71 | 90.92 | 305.52 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/vit/vit_l32_224_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/vit/vit_l_32_224-3a961018.ckpt) |
-| volo_d1 | D910x8-G | 82.59 | 95.99 | 27 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/volo/volo_d1_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/volo/volo_d1-c7efada9.ckpt) |
-| xception | D910x8-G | 79.01 | 94.25 | 22.91 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/xception/xception_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/xception/xception-2c1e711df.ckpt) |
-| xcit_tiny_12_p16_224 | D910x8-G | 77.67 | 93.79 | 7.00 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/xcit/xcit_tiny_12_p16_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/xcit/xcit_tiny_12_p16_224-1b1c9301.ckpt) |
+
+
+performance tested on Ascend 910(8p) with graph mode
+
+| Model | Top-1 (%) | Top-5 (%) | Params(M) | BatchSize | Recipe | Download |
+| ---------------------- | --------- | --------- | --------- |-----------| ------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------- |
+| bit_resnet50 | 76.81 | 93.17 | 25.55 | 32 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/bit/bit_resnet50_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/bit/BiT_resnet50-1e4795a4.ckpt) |
+| cmt_small | 83.24 | 96.41 | 26.09 | 128 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/cmt/cmt_small_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/cmt/cmt_small-6858ee22.ckpt) |
+| coat_tiny | 79.67 | 94.88 | 5.50 | 32 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/coat/coat_tiny_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/coat/coat_tiny-071cb792.ckpt) |
+| convit_tiny | 73.66 | 91.72 | 5.71 | 256 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/convit/convit_tiny_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/convit/convit_tiny-e31023f2.ckpt) |
+| convnext_tiny | 81.91 | 95.79 | 28.59 | 16 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/convnext/convnext_tiny_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/convnext/convnext_tiny-ae5ff8d7.ckpt) |
+| convnextv2_tiny | 82.43 | 95.98 | 28.64 | 128 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/convnextv2/convnextv2_tiny_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/convnextv2/convnextv2_tiny-d441ba2c.ckpt) |
+| crossvit_9 | 73.56 | 91.79 | 8.55 | 256 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/crossvit/crossvit_9_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/crossvit/crossvit_9-e74c8e18.ckpt) |
+| densenet121 | 75.64 | 92.84 | 8.06 | 32 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/densenet/densenet_121_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/densenet/densenet121-120_5004_Ascend.ckpt) |
+| dpn92 | 79.46 | 94.49 | 37.79 | 32 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/dpn/dpn92_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/dpn/dpn92-e3e0fca.ckpt) |
+| edgenext_xx_small | 71.02 | 89.99 | 1.33 | 256 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/edgenext/edgenext_xx_small_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/edgenext/edgenext_xx_small-afc971fb.ckpt) |
+| efficientnet_b0 | 76.89 | 93.16 | 5.33 | 128 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/efficientnet/efficientnet_b0_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/efficientnet/efficientnet_b0-103ec70c.ckpt) |
+| ghostnet_050 | 66.03 | 86.64 | 2.60 | 128 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/ghostnet/ghostnet_050_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/ghostnet/ghostnet_050-85b91860.ckpt) |
+| googlenet | 72.68 | 90.89 | 6.99 | 32 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/googlenet/googlenet_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/googlenet/googlenet-5552fcd3.ckpt) |
+| halonet_50t | 79.53 | 94.79 | 22.79 | 64 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/halonet/halonet_50t_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/halonet/halonet_50t-533da6be.ckpt) |
+| hrnet_w32 | 80.64 | 95.44 | 41.30 | 128 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/hrnet/hrnet_w32_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/hrnet/hrnet_w32-cc4fbd91.ckpt) |
+| inception_v3 | 79.11 | 94.40 | 27.20 | 32 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/inceptionv3/inception_v3_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/inception_v3/inception_v3-38f67890.ckpt) |
+| inception_v4 | 80.88 | 95.34 | 42.74 | 32 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/inceptionv4/inception_v4_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/inception_v4/inception_v4-db9c45b3.ckpt) |
+| mixnet_s | 75.52 | 92.52 | 4.17 | 128 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/mixnet/mixnet_s_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/mixnet/mixnet_s-2a5ef3a3.ckpt) |
+| mnasnet_075 | 71.81 | 90.53 | 3.20 | 256 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/mnasnet/mnasnet_0.75_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/mnasnet/mnasnet_075-465d366d.ckpt) |
+| mobilenet_v1_025 | 53.87 | 77.66 | 0.47 | 64 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/mobilenetv1/mobilenet_v1_0.25_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/mobilenet/mobilenetv1/mobilenet_v1_025-d3377fba.ckpt) |
+| mobilenet_v2_075 | 69.98 | 89.32 | 2.66 | 256 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/mobilenetv2/mobilenet_v2_0.75_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/mobilenet/mobilenetv2/mobilenet_v2_075-bd7bd4c4.ckpt) |
+| mobilenet_v3_small_100 | 68.10 | 87.86 | 2.55 | 75 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/mobilenetv3/mobilenet_v3_small_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/mobilenet/mobilenetv3/mobilenet_v3_small_100-509c6047.ckpt) |
+| mobilenet_v3_large_100 | 75.23 | 92.31 | 5.51 | 75 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/mobilenetv3/mobilenet_v3_large_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/mobilenet/mobilenetv3/mobilenet_v3_large_100-1279ad5f.ckpt) |
+| mobilevit_xx_small | 68.91 | 88.91 | 1.27 | 64 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/mobilevit/mobilevit_xx_small_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/mobilevit/mobilevit_xx_small-af9da8a0.ckpt) |
+| nasnet_a_4x1056 | 73.65 | 91.25 | 5.33 | 256 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/nasnet/nasnet_a_4x1056_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/nasnet/nasnet_a_4x1056-0fbb5cdd.ckpt) |
+| pit_ti | 72.96 | 91.33 | 4.85 | 128 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/pit/pit_ti_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/pit/pit_ti-e647a593.ckpt) |
+| poolformer_s12 | 77.33 | 93.34 | 11.92 | 128 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/poolformer/poolformer_s12_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/poolformer/poolformer_s12-5be5c4e4.ckpt) |
+| pvt_tiny | 74.81 | 92.18 | 13.23 | 128 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/pvt/pvt_tiny_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/pvt/pvt_tiny-6abb953d.ckpt) |
+| pvt_v2_b0 | 71.50 | 90.60 | 3.67 | 128 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/pvtv2/pvt_v2_b0_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/pvt_v2/pvt_v2_b0-1c4f6683.ckpt) |
+| regnet_x_800mf | 76.04 | 92.97 | 7.26 | 64 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/regnet/regnet_x_800mf_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/regnet/regnet_x_800mf-617227f4.ckpt) |
+| repmlp_t224 | 76.71 | 93.30 | 38.30 | 128 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/repmlp/repmlp_t224_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/repmlp/repmlp_t224-8dbedd00.ckpt) |
+| repvgg_a0 | 72.19 | 90.75 | 9.13 | 32 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/repvgg/repvgg_a0_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/repvgg/repvgg_a0-6e71139d.ckpt) |
+| repvgg_a1 | 74.19 | 91.89 | 14.12 | 32 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/repvgg/repvgg_a1_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/repvgg/repvgg_a1-539513ac.ckpt) |
+| res2net50 | 79.35 | 94.64 | 25.76 | 32 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/res2net/res2net_50_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/res2net/res2net50-f42cf71b.ckpt) |
+| resnest50 | 80.81 | 95.16 | 27.55 | 128 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/resnest/resnest50_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/resnest/resnest50-f2e7fc9c.ckpt) |
+| resnet50 | 76.69 | 93.50 | 25.61 | 32 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/resnet/resnet_50_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/resnet/resnet50-e0733ab8.ckpt) |
+| resnetv2_50 | 76.90 | 93.37 | 25.60 | 32 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/resnetv2/resnetv2_50_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/resnetv2/resnetv2_50-3c2f143b.ckpt) |
+| resnext50_32x4d | 78.53 | 94.10 | 25.10 | 32 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/resnext/resnext50_32x4d_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/resnext/resnext50_32x4d-af8aba16.ckpt) |
+| rexnet_09 | 77.06 | 93.41 | 4.13 | 64 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/rexnet/rexnet_x09_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/rexnet/rexnet_09-da498331.ckpt) |
+| seresnet18 | 71.81 | 90.49 | 11.80 | 64 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/senet/seresnet18_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/senet/seresnet18-7880643b.ckpt) |
+| shufflenet_v1_g3_05 | 57.05 | 79.73 | 0.73 | 64 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/shufflenetv1/shufflenet_v1_0.5_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/shufflenet/shufflenetv1/shufflenet_v1_g3_05-42cfe109.ckpt) |
+| shufflenet_v2_x0_5 | 60.53 | 82.11 | 1.37 | 64 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/shufflenetv2/shufflenet_v2_0.5_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/shufflenet/shufflenetv2/shufflenet_v2_x0_5-8c841061.ckpt) |
+| skresnet18 | 73.09 | 91.20 | 11.97 | 64 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/sknet/skresnet18_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/sknet/skresnet18-868228e5.ckpt) |
+| squeezenet1_0 | 59.01 | 81.01 | 1.25 | 32 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/squeezenet/squeezenet_1.0_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/squeezenet/squeezenet1_0-e2d78c4a.ckpt) |
+| swin_tiny | 80.82 | 94.80 | 33.38 | 256 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/swintransformer/swin_tiny_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/swin/swin_tiny-0ff2f96d.ckpt) |
+| swinv2_tiny_window8 | 81.42 | 95.43 | 28.78 | 128 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/swintransformerv2/swinv2_tiny_window8_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/swinv2/swinv2_tiny_window8-3ef8b787.ckpt) |
+| vgg13 | 72.87 | 91.02 | 133.04 | 32 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/vgg/vgg13_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/vgg/vgg13-da805e6e.ckpt) |
+| vgg19 | 75.21 | 92.56 | 143.66 | 32 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/vgg/vgg19_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/vgg/vgg19-bedee7b6.ckpt) |
+| visformer_tiny | 78.28 | 94.15 | 10.33 | 128 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/visformer/visformer_tiny_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/visformer/visformer_tiny-daee0322.ckpt) |
+| vit_b_32_224 | 75.86 | 92.08 | 87.46 | 512 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/vit/vit_b32_224_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/vit/vit_b_32_224-7553218f.ckpt) |
+| volo_d1 | 82.59 | 95.99 | 27 | 128 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/volo/volo_d1_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/volo/volo_d1-c7efada9.ckpt) |
+| xception | 79.01 | 94.25 | 22.91 | 32 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/xception/xception_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/xception/xception-2c1e711df.ckpt) |
+| xcit_tiny_12_p16_224 | 77.67 | 93.79 | 7.00 | 128 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/xcit/xcit_tiny_12_p16_ascend.yaml) | [weights](https://download.mindspore.cn/toolkits/mindcv/xcit/xcit_tiny_12_p16_224-1b1c9301.ckpt) |
+
+
+
+
+performance tested on Ascend 910*(8p) with graph mode
+
+| Model | Top-1 (%) | Top-5 (%) | Params(M) | BatchSize | Recipe | Download |
+| ---------------------- | --------- | --------- | --------- |-----------| ------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------- |
+| convit_tiny | 73.79 | 91.70 | 5.71 | 256 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/convit/convit_tiny_ascend.yaml) | [weights](https://download-mindspore.osinfra.cn/toolkits/mindcv/convit/convit_tiny-1961717e-910v2.ckpt) |
+| convnext_tiny | 81.28 | 95.61 | 28.59 | 16 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/convnext/convnext_tiny_ascend.yaml) | [weights](https://download-mindspore.osinfra.cn/toolkits/mindcv/convnext/convnext_tiny-db11dc82-910v2.ckpt) |
+| convnextv2_tiny | 82.39 | 95.95 | 28.64 | 128 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/convnextv2/convnextv2_tiny_ascend.yaml) | [weights](https://download-mindspore.osinfra.cn/toolkits/mindcv/convnextv2/convnextv2_tiny-a35b79ce-910v2.ckpt) |
+| crossvit_9 | 73.38 | 91.51 | 8.55 | 256 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/crossvit/crossvit_9_ascend.yaml) | [weights](https://download-mindspore.osinfra.cn/toolkits/mindcv/crossvit/crossvit_9-32c69c96-910v2.ckpt) |
+| densenet121 | 75.67 | 92.77 | 8.06 | 32 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/densenet/densenet_121_ascend.yaml) | [weights](https://download-mindspore.osinfra.cn/toolkits/mindcv/densenet/densenet121-bf4ab27f-910v2.ckpt) |
+| edgenext_xx_small | 70.64 | 89.75 | 1.33 | 256 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/edgenext/edgenext_xx_small_ascend.yaml) | [weights](https://download-mindspore.osinfra.cn/toolkits/mindcv/edgenext/edgenext_xx_small-cad13d2c-910v2.ckpt) |
+| efficientnet_b0 | 76.88 | 93.28 | 5.33 | 128 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/efficientnet/efficientnet_b0_ascend.yaml) | [weights](https://download-mindspore.osinfra.cn/toolkits/mindcv/efficientnet/efficientnet_b0-f8d7aa2a-910v2.ckpt) |
+| googlenet | 72.89 | 90.89 | 6.99 | 32 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/googlenet/googlenet_ascend.yaml) | [weights](https://download-mindspore.osinfra.cn/toolkits/mindcv/googlenet/googlenet-de74c31d-910v2.ckpt) |
+| hrnet_w32 | 80.66 | 95.30 | 41.30 | 128 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/hrnet/hrnet_w32_ascend.yaml) | [weights](https://download-mindspore.osinfra.cn/toolkits/mindcv/hrnet/hrnet_w32-e616cdcb-910v2.ckpt) |
+| inception_v3 | 79.25 | 94.47 | 27.20 | 32 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/inceptionv3/inception_v3_ascend.yaml) | [weights](https://download-mindspore.osinfra.cn/toolkits/mindcv/inception_v3/inception_v3-61a8e9ed-910v2.ckpt) |
+| inception_v4 | 80.98 | 95.25 | 42.74 | 32 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/inceptionv4/inception_v4_ascend.yaml) | [weights](https://download-mindspore.osinfra.cn/toolkits/mindcv/inception_v4/inception_v4-56e798fc-910v2.ckpt) |
+| mixnet_s | 75.58 | 95.54 | 4.17 | 128 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/mixnet/mixnet_s_ascend.yaml) | [weights](https://download-mindspore.osinfra.cn/toolkits/mindcv/mixnet/mixnet_s-fe4fcc63-910v2.ckpt) |
+| mnasnet_075 | 71.77 | 90.52 | 3.20 | 256 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/mnasnet/mnasnet_0.75_ascend.yaml) | [weights](https://download-mindspore.osinfra.cn/toolkits/mindcv/mnasnet/mnasnet_075-083b2bc4-910v2.ckpt) |
+| mobilenet_v1_025 | 54.05 | 77.74 | 0.47 | 64 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/mobilenetv1/mobilenet_v1_0.25_ascend.yaml) | [weights](https://download-mindspore.osinfra.cn/toolkits/mindcv/mobilenet/mobilenetv1/mobilenet_v1_025-cbe3d3b3-910v2.ckpt) |
+| mobilenet_v2_075 | 69.73 | 89.35 | 2.66 | 256 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/mobilenetv2/mobilenet_v2_0.75_ascend.yaml) | [weights](https://download-mindspore.osinfra.cn/toolkits/mindcv/mobilenet/mobilenetv2/mobilenet_v2_075-755932c4-910v2.ckpt) |
+| mobilenet_v3_small_100 | 68.07 | 87.77 | 2.55 | 75 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/mobilenetv3/mobilenet_v3_small_ascend.yaml) | [weights](https://download-mindspore.osinfra.cn/toolkits/mindcv/mobilenet/mobilenetv3/mobilenet_v3_small_100-6fa3c17d-910v2.ckpt) |
+| mobilenet_v3_large_100 | 75.59 | 92.57 | 5.51 | 75 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/mobilenetv3/mobilenet_v3_large_ascend.yaml) | [weights](https://download-mindspore.osinfra.cn/toolkits/mindcv/mobilenet/mobilenetv3/mobilenet_v3_large_100-bd4e7bdc-910v2.ckpt) |
+| mobilevit_xx_small | 67.11 | 87.85 | 1.27 | 64 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/mobilevit/mobilevit_xx_small_ascend.yaml) | [weights](https://download-mindspore.osinfra.cn/toolkits/mindcv/mobilevit/mobilevit_xx_small-6f2745c3-910v2.ckpt) |
+| nasnet_a_4x1056 | 74.12 | 91.36 | 5.33 | 256 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/nasnet/nasnet_a_4x1056_ascend.yaml) | [weights](https://download-mindspore.osinfra.cn/toolkits/mindcv/nasnet/nasnet_a_4x1056-015ba575c-910v2.ckpt) |
+| pit_ti | 73.26 | 91.57 | 4.85 | 128 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/pit/pit_ti_ascend.yaml) | [weights](https://download-mindspore.osinfra.cn/toolkits/mindcv/pit/pit_ti-33466a0d-910v2.ckpt) |
+| poolformer_s12 | 77.49 | 93.55 | 11.92 | 128 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/poolformer/poolformer_s12_ascend.yaml) | [weights](https://download-mindspore.osinfra.cn/toolkits/mindcv/poolformer/poolformer_s12-c7e14eea-910v2.ckpt) |
+| pvt_tiny | 74.88 | 92.12 | 13.23 | 128 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/pvt/pvt_tiny_ascend.yaml) | [weights](https://download-mindspore.osinfra.cn/toolkits/mindcv/pvt/pvt_tiny-6676051f-910v2.ckpt) |
+| pvt_v2_b0 | 71.25 | 90.50 | 3.67 | 128 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/pvtv2/pvt_v2_b0_ascend.yaml) | [weights](https://download-mindspore.osinfra.cn/toolkits/mindcv/pvt_v2/pvt_v2_b0-d9cd9d6a-910v2.ckpt) |
+| regnet_x_800mf | 76.11 | 93.00 | 7.26 | 64 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/regnet/regnet_x_800mf_ascend.yaml) | [weights](https://download-mindspore.osinfra.cn/toolkits/mindcv/regnet/regnet_x_800mf-68fe1cca-910v2.ckpt) |
+| repvgg_a0 | 72.29 | 90.78 | 9.13 | 32 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/repvgg/repvgg_a0_ascend.yaml) | [weights](https://download-mindspore.osinfra.cn/toolkits/mindcv/repvgg/repvgg_a0-b67a9f15-910v2.ckpt) |
+| repvgg_a1 | 73.68 | 91.51 | 14.12 | 32 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/repvgg/repvgg_a1_ascend.yaml) | [weights](https://download-mindspore.osinfra.cn/toolkits/mindcv/repvgg/repvgg_a1-a40aa623-910v2.ckpt) |
+| res2net50 | 79.33 | 94.64 | 25.76 | 32 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/res2net/res2net_50_ascend.yaml) | [weights](https://download-mindspore.osinfra.cn/toolkits/mindcv/res2net/res2net50-aa758355-910v2.ckpt) |
+| resnet50 | 76.76 | 93.31 | 25.61 | 32 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/resnet/resnet_50_ascend.yaml) | [weights](https://download-mindspore.osinfra.cn/toolkits/mindcv/resnet/resnet50-f369a08d-910v2.ckpt) |
+| resnetv2_50 | 77.03 | 93.29 | 25.60 | 32 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/resnetv2/resnetv2_50_ascend.yaml) | [weights](https://download-mindspore.osinfra.cn/toolkits/mindcv/resnetv2/resnetv2_50-a0b9f7f8-910v2.ckpt) |
+| resnext50_32x4d | 78.64 | 94.18 | 25.10 | 32 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/resnext/resnext50_32x4d_ascend.yaml) | [weights](https://download-mindspore.osinfra.cn/toolkits/mindcv/resnext/resnext50_32x4d-988f75bc-910v2.ckpt) |
+| rexnet_09 | 76.14 | 92.96 | 4.13 | 64 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/rexnet/rexnet_x09_ascend.yaml) | [weights](https://download-mindspore.osinfra.cn/toolkits/mindcv/rexnet/rexnet_09-00223eb4-910v2.ckpt) |
+| seresnet18 | 72.05 | 90.59 | 11.80 | 64 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/senet/seresnet18_ascend.yaml) | [weights](https://download-mindspore.osinfra.cn/toolkits/mindcv/senet/seresnet18-7b971c78-910v2.ckpt) |
+| shufflenet_v1_g3_05 | 57.08 | 79.89 | 0.73 | 64 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/shufflenetv1/shufflenet_v1_0.5_ascend.yaml) | [weights](https://download-mindspore.osinfra.cn/toolkits/mindcv/shufflenet/shufflenetv1/shufflenet_v1_g3_05-56209ef3-910v2.ckpt) |
+| shufflenet_v2_x0_5 | 60.65 | 82.26 | 1.37 | 64 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/shufflenetv2/shufflenet_v2_0.5_ascend.yaml) | [weights](https://download-mindspore.osinfra.cn/toolkits/mindcv/shufflenet/shufflenetv2/shufflenet_v2_x0_5-39d05bb6-910v2.ckpt) |
+| skresnet18 | 72.85 | 90.83 | 11.97 | 64 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/sknet/skresnet18_ascend.yaml) | [weights](https://download-mindspore.osinfra.cn/toolkits/mindcv/sknet/skresnet18-9d8b1afc-910v2.ckpt) |
+| squeezenet1_0 | 58.75 | 80.76 | 1.25 | 32 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/squeezenet/squeezenet_1.0_ascend.yaml) | [weights](https://download-mindspore.osinfra.cn/toolkits/mindcv/squeezenet/squeezenet1_0-24010b28-910v2.ckpt) |
+| swin_tiny | 80.90 | 94.90 | 33.38 | 256 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/swintransformer/swin_tiny_ascend.yaml) | [weights](https://download-mindspore.osinfra.cn/toolkits/mindcv/swin/swin_tiny-72b3c5e6-910v2.ckpt) |
+| swinv2_tiny_window8 | 81.38 | 95.46 | 28.78 | 128 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/swintransformerv2/swinv2_tiny_window8_ascend.yaml) | [weights](https://download-mindspore.osinfra.cn/toolkits/mindcv/swinv2/swinv2_tiny_window8-70c5e903-910v2.ckpt) |
+| vgg13 | 72.81 | 91.02 | 133.04 | 32 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/vgg/vgg13_ascend.yaml) | [weights](https://download-mindspore.osinfra.cn/toolkits/mindcv/vgg/vgg13-7756f33c-910v2.ckpt) |
+| vgg19 | 75.24 | 92.55 | 143.66 | 32 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/vgg/vgg19_ascend.yaml) | [weights](https://download-mindspore.osinfra.cn/toolkits/mindcv/vgg/vgg19-5104d1ea-910v2.ckpt) |
+| visformer_tiny | 78.40 | 94.30 | 10.33 | 128 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/visformer/visformer_tiny_ascend.yaml) | [weights](https://download-mindspore.osinfra.cn/toolkits/mindcv/visformer/visformer_tiny-df995ba4-910v2.ckpt) |
+| xcit_tiny_12_p16_224 | 77.27 | 93.56 | 7.00 | 128 | [yaml](https://github.com/mindspore-lab/mindcv/blob/main/configs/xcit/xcit_tiny_12_p16_ascend.yaml) | [weights](https://download-mindspore.osinfra.cn/toolkits/mindcv/xcit/xcit_tiny_12_p16_224-bd90776e-910v2.ckpt) |
+
+
#### Notes
-- Context: Training context denoted as {device}x{pieces}-{MS mode}, where mindspore mode can be G - graph mode or F - pynative mode with ms function. For example, D910x8-G is for training on 8 pieces of Ascend 910 NPU using graph mode.
- Top-1 and Top-5: Accuracy reported on the validation set of ImageNet-1K.