R1-AQA: benchmark results
Provider: Other.
Aggregate Rating 1405 ± 52, rank #5845 of 10916 rated models, from 33 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| BASS - Artist Counting | 35.03 | Exact-match accuracy (%) on the 229 artist counting question | 100 |
| SonicBench - Timbre | 64 | Accuracy (%; instrument timbre (NSynth); 100 recognition and | 93.5 |
| BASS - Section Structural Lyric Transcription | 1.75 | Word error rate (a ratio, not a percentage; 0 is perfect and | 91.7 |
| BASS - Full Structural Lyric Transcription | 1.5 | Word error rate (a ratio, not a percentage; 0 is perfect and | 83.3 |
| SonicBench - Loudness | 54 | Accuracy (%; loudness (integrated LUFS contrasts of at least | 69.4 |
| SonicBench - Pitch | 58 | Accuracy (%; pitch height (NSynth notes, one-semitone contra | 64.5 |
| SonicBench - Brightness | 61 | Accuracy (%; spectral brightness (NSynth); 100 recognition a | 62.9 |
| SonicBench - Reverberation | 53 | Accuracy (%; reverberation (SRIR room impulse responses); 10 | 62.9 |
| SonicBench | 55 | Accuracy (%; mean over 12 physical attributes of 100 recogni | 59.7 |
| BASS - Gene Attribution | 30.9 | Exact-match accuracy (%) on the 94 gene attribution question | 57.7 |
| SonicBench - Texture | 77 | Accuracy (%; sound texture (ESC-50); 100 recognition and 100 | 56.2 |
| BASS - Artist Attribution | 50.84 | Exact-match accuracy (%) on the 64 artist attribution questi | 53.8 |
Interactive version: theaggregate.ai/model?slug=r1-aqa · How It Works · Data refreshed daily, snapshot 2026-11-08.