| AlexNet | 43.5 | 20.9 | https://download.pytorch.org/models/alexnet-owt-7be5be79.pth |
| VggNet-11-bn | 31.0 | 11.4 | https://download.pytorch.org/models/vgg11_bn-6002323d.pth |
| ResNet-18 | 30.2 | 10.9 | https://download.pytorch.org/models/resnet18-f37072fd.pth |
| DenseNet-121 | 25.4 | 7.8 | https://download.pytorch.org/models/densenet121-a639ec97.pth |
| EfficientNet_b0 | 22.7 | 6.5 | https://download.pytorch.org/models/efficientnet_b0_rwightman-3dd342df.pth |
| EfficientNet_b1 | 20.8 | 5.5 | https://download.pytorch.org/models/efficientnet_b1_rwightman-533bc792.pth |
| EfficientNet_b2 | 19.7 | 5.0 | https://download.pytorch.org/models/efficientnet_b2_rwightman-bcdf34b7.pth |
| EfficientNet_b3 | 18.3 | 4.4 | https://download.pytorch.org/models/efficientnet_b3_rwightman-cf984f9c.pth |
| EfficientNet_b4 | 17.0 | 3.7 | https://download.pytorch.org/models/efficientnet_b4_rwightman-7eb33cd5.pth |
| EfficientNet_b5 | 16.3 | 3.3 | https://download.pytorch.org/models/efficientnet_b5_lukemelas-b6417697.pth |
| EfficientNet_b6 | 15.8 | 3.2 | https://download.pytorch.org/models/efficientnet_b6_lukemelas-c76e70fd.pth |
| EfficientNet_b7 | 15.6 | 2.9 | https://download.pytorch.org/models/efficientnet_b7_lukemelas-dcc49843.pth |