| Benchmark | Model | Rank | Results |
|---|---|---|---|
| image-classification-on-cifar-10 | ConvMixer-256/16 | #125 | Percentage correct: 96.74 |
| image-classification-on-cifar-10 | ConvMixer-256/8 | #146 | Percentage correct: 96.03 |
| image-classification-on-imagenet | ConvMixer-1536/20 | #605 | Top 1 Accuracy: 82.20Number of params: 51.6M |