| Benchmark | Model | Rank | Results |
|---|---|---|---|
| event-data-classification-on-cifar10-dvs | IS-SNN VGGSNN (T=8) | – | Accuracy: 77.7 |
| image-classification-on-cifar-10 | IS-SNN SEW-ResNet-19 (T=6, strong augmentation) | – | Percentage correct: 96.12 |
| image-classification-on-cifar-100 | IS-SNN SEW-ResNet-19 (T=6, strong augmentation) | – | Percentage correct: 80.72 |
| image-classification-on-imagenet | IS-SNN (E400) ResNet-34 (T=4) | – | Top 1 Accuracy: 68.05% |