| Benchmark | Model | Rank | Results |
|---|---|---|---|
| fine-grained-image-classification-on-oxford | TResNet-L | #6 | Accuracy: 99.1% |
| image-classification-on-cifar-10 | TResNet-XL | #22 | Percentage correct: 99 |
| image-classification-on-cifar-100 | TResNet-L-V2 | #12 | Percentage correct: 92.6 |
| image-classification-on-flowers-102 | TResNet-L | #14 | Accuracy: 99.1% |
| image-classification-on-imagenet | TResNet-XL | #317 | Top 1 Accuracy: 84.3%Number of params: 77M |