| Benchmark | Model | Rank | Results |
|---|---|---|---|
| image-classification-on-imagenet | LITv2-B|384 | #290 | Top 1 Accuracy: 84.7%Number of params: 87MGFLOPs: 39.7 |
| image-classification-on-imagenet | LITv2-B | #403 | Top 1 Accuracy: 83.6%GFLOPs: 13.2 |
| image-classification-on-imagenet | LITv2-M | #432 | Top 1 Accuracy: 83.3%Number of params: 49MGFLOPs: 7.5 |
| image-classification-on-imagenet | LITv2-S | #568 | Top 1 Accuracy: 82%Number of params: 28MGFLOPs: 3.7 |