| Benchmark | Model | Rank | Results |
|---|---|---|---|
| image-classification-on-cifar-10 | SKNet-29 (ResNeXt-29, 16×32d) | #106 | Percentage correct: 96.53 |
| image-classification-on-cifar-100 | SKNet-29 (ResNeXt-29, 16×32d) | #96 | Percentage correct: 82.67 |
| image-classification-on-imagenet | SKNet-101 | #695 | Top 1 Accuracy: 79.81%Number of params: 48.9MGFLOPs: 8.46 |