| Benchmark | Model | Rank | Results |
|---|---|---|---|
| image-classification-on-imagenet | ResNeXt-101 32x48d | #222 | Top 1 Accuracy: 85.4%Number of params: 829MGFLOPs: 306 |
| image-classification-on-imagenet | ResNeXt-101 32x32d | #247 | Top 1 Accuracy: 85.1%Number of params: 466MGFLOPs: 174 |
| image-classification-on-imagenet | ResNeXt-101 32×16d | #324 | Top 1 Accuracy: 84.2%Number of params: 194MGFLOPs: 72 |
| image-classification-on-imagenet | ResNeXt-101 32x8d | #541 | Top 1 Accuracy: 82.2%Number of params: 88M |