|----------|:--------:|:----------:|
| ResNet50    | 80.858 | 95.434| 
|----------|:--------:|:----------:|
| ResNet101    | 81.886 | 95.780| 
|----------|:--------:|:----------:|
| ResNet152    | 82.284 | 96.002| 
|----------|:--------:|:----------:|
| ResNeXt50-32x4d    | 81.198 | 95.340| 
Note that the accuracy of all models except RetNet50 can be further improved by adjusting their training parameters slightly, but our focus was to have a single robust recipe which performs well for all. 
UPDATE: We have refreshed the majority of popular classification models of TorchVision, you can find the details on this blog post.
There are currently two ways to use the latest weights of the model.
Using the Multi-pretrained weight API