| Benchmark | Model | Rank | Results |
|---|---|---|---|
| image-classification-on-imagenet | MixNet-L | #838 | Top 1 Accuracy: 78.9%Number of params: 7.3MGFLOPs: 0.565 |
| image-classification-on-imagenet | MixNet-M | #931 | Top 1 Accuracy: 77%Number of params: 5.0MGFLOPs: 0.360 |
| image-classification-on-imagenet | MixNet-S | #973 | Top 1 Accuracy: 75.8%Number of params: 4.1MGFLOPs: 0.256 |