| Benchmark | Model | Rank | Results |
|---|---|---|---|
| image-classification-on-cifar-10 | GliaNet (DenseNet-BC) | – | Percentage correct: 97.82 |
| image-classification-on-cifar-100 | GliaNet (ViT-B) | – | Percentage correct: 88.05 |
| image-classification-on-imagenet | GliaNet (Swin-B) | – | Top 1 Accuracy: 85.7% |