| Benchmark | Model | Rank | Results |
|---|---|---|---|
| audio-tagging-on-audioset | AuM-B/16 | #17 | mean average precision: 0.324 |
| audio-classification-on-vggsound | AuM-B/16 | #19 | Top 1 Accuracy: 42.58 |
| keyword-spotting-on-google-speech-commands | AuM-B/16 (AudioSet pretrained) | #32 | Google Speech Commands V2 35: 94.82 |
| audio-classification-on-audioset | AuM-B/16 | #41 | Test mAP: 0.3274 |