| Benchmark | Model | Rank | Results |
|---|---|---|---|
| audio-classification-on-audioset | EquiAV | #1 | Test mAP: 0.546 |
| audio-classification-on-balanced-audio-set | EquiAV | #1 | Mean AP: 42.4 |
| audio-tagging-on-audioset | EquiAV (audio-visual) | #1 | mean average precision: 0.546 |
| audio-classification-on-vggsound | EquiAV | #3 | Top 1 Accuracy: 67.1 |