# 1. Benchmark ## 1.1 Environment * 8 A100(40G) on single Node * CUDA 11.2 * CUDNN 8.1 ## 1.2 DataSet - We train the Swin Transformer on ImageNet. ## 1.3 Benchmark | Model |DType | Phase | Dataset | gpu | img/sec | Top1 Acc | Official | | --- | --- | --- | --- | --- | --- | --- | --- | | Swin-B |FP16 O1|pretrain |ImageNet2012 |A100*N1C8 | 2155| 0.83362 | 0.835 | | Swin-B |FP16 O2|pretrain | ImageNet2012 | A100*N1C8 | 3006 | 0.83223 | 0.835 | # 2. Reference https://github.com/PaddlePaddle/PLSC/blob/master/task/classification/swin/README.md
