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docs: add performance data to 910* benchmarks (#808)
Co-authored-by: ChongWei905 <weichong4@huawei.com>
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‎benchmark_results.md

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‎configs/convit/README.md

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<div align="center">
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| Model | Top-1 (%) | Top-5 (%) | Params (M) | Batch Size | Recipe | Download |
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| ----------- | --------- | --------- | ---------- | ---------- | ------------------------------------------------------------------------------------------------ |-------------|
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| 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) |
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| Model | Top-1 (%) | Top-5 (%) | ms/step | Params (M) | Batch Size | Recipe | Download |
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| ----------- | --------- | --------- | ------- | ---------- | ---------- | ------------------------------------------------------------------------------------------------ | ------------------------------------------------------------------------------------------------------- |
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| convit_tiny | 73.79 | 91.70 | 342.81 | 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) |
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‎configs/convnext/README.md

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| Model | Top-1 (%) | Top-5 (%) | Params (M) | Batch Size | Recipe | Download |
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| ------------- | --------- | --------- | ---------- | ---------- | ---------------------------------------------------------------------------------------------------- |-------------|
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| 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) |
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| Model | Top-1 (%) | Top-5 (%) | ms/step | Params (M) | Batch Size | Recipe | Download |
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| ------------- | --------- | --------- | ------- | ---------- | ---------- | ---------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------- |
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| convnext_tiny | 81.28 | 95.61 | 54.08 | 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) |
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‎configs/convnextv2/README.md

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performance tested on ascend 910*(8p) with graph mode
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| Model | Top-1 (%) | Top-5 (%) | Params (M) | Batch Size | Recipe | Download |
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| --------------- | --------- | --------- | ---------- | ---------- | -------------------------------------------------------------------------------------------------------- |-------------|
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| 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) |
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| Model | Top-1 (%) | Top-5 (%) | ms/step | Params (M) | Batch Size | Recipe | Download |
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| --------------- | --------- | --------- | ------- | ---------- | ---------- | -------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------- |
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| convnextv2_tiny | 82.39 | 95.95 | 360.29 | 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) |
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‎configs/crossvit/README.md

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| Model | Top-1 (%) | Top-5 (%) | Params (M) | Batch Size | Recipe | Download |
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| ---------- | --------- | --------- | ---------- | ---------- | ------------------------------------------------------------------------------------------------- |-------------|
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| 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) |
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| Model | Top-1 (%) | Top-5 (%) | ms/step | Params (M) | Batch Size | Recipe | Download |
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| ---------- | --------- | --------- | ------- | ---------- | ---------- | ------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------- |
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| crossvit_9 | 73.38 | 91.51 | 711.19 | 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) |
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‎configs/densenet/README.md

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| Model | Top-1 (%) | Top-5 (%) | Params (M) | Batch Size | Recipe | Download |
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| ----------- | --------- | --------- | ---------- | ---------- | --------------------------------------------------------------------------------------------------- |-------------|
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| 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) |
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| Model | Top-1 (%) | Top-5 (%) | ms/step | Params (M) | Batch Size | Recipe | Download |
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| ----------- | --------- | --------- | ------- | ---------- | ---------- | --------------------------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------------------------- |
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| densenet121 | 75.67 | 92.77 | 50.55 | 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) |
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‎configs/edgenext/README.md

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| Model | Top-1 (%) | Top-5 (%) | Params (M) | Batch Size | Recipe | Download |
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| ----------------- | --------- | --------- | ---------- | ---------- | -------------------------------------------------------------------------------------------------------- |-------------|
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| 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) |
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| Model | Top-1 (%) | Top-5 (%) | ms/step | Params (M) | Batch Size | Recipe | Download |
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| ----------------- | --------- | --------- | ------- | ---------- | ---------- | -------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------- |
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| edgenext_xx_small | 70.64 | 89.75 | 295.88 | 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) |
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‎configs/efficientnet/README.md

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| Model | Top-1 (%) | Top-5 (%) | Params (M) | Batch Size | Recipe | Download |
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| --------------- | --------- | --------- | ---------- | ---------- | ---------------------------------------------------------------------------------------------------------- |-------------|
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| 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) |
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| Model | Top-1 (%) | Top-5 (%) | ms/step | Params (M) | Batch Size | Recipe | Download |
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| --------------- | --------- | --------- | ------- | ---------- | ---------- | ---------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------- |
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| efficientnet_b0 | 76.88 | 93.28 | 168.78 | 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) |
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‎configs/googlenet/README.md

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| Model | Top-1 (%) | Top-5 (%) | Params (M) | Batch Size | Recipe | Download |
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| 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) |
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| Model | Top-1 (%) | Top-5 (%) | ms/step | Params (M) | Batch Size | Recipe | Download |
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| --------- | --------- | --------- | ------- | ---------- | ---------- | ------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------- |
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| googlenet | 72.89 | 90.89 | 24.29 | 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) |
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‎configs/hrnet/README.md

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| Model | Top-1 (%) | Top-5 (%) | Params (M) | Batch Size | Recipe | Download |
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| --------- | --------- | --------- | ---------- | ---------- | --------------------------------------------------------------------------------------------- |-------------|
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| 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) |
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| Model | Top-1 (%) | Top-5 (%) | ms/step | Params (M) | Batch Size | Recipe | Download |
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| --------- | --------- | --------- | ------- | ---------- | ---------- | --------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------- |
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| hrnet_w32 | 80.66 | 95.30 | 303.01 | 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) |
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