audio benchmark
A dataset for tempo estimation in electronic dance music containing 664 2-minute audio previews from Beatport, annotated from user corrections for evaluating automatic tempo estimation algorithms.
Updated Aug 11, 2026
Higher score ranks better on this benchmark.
| 01 | AC | 88.0% | 100.0% | 1 | C |
The leading models and scores on this benchmark.
What GiantSteps Tempo measures and how its scores work.
A dataset for tempo estimation in electronic dance music containing 664 2-minute audio previews from Beatport, annotated from user corrections for evaluating automatic tempo estimation algorithms.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
Common questions about GiantSteps Tempo.
Qwen2.5-Omni-7B is currently ranked first with 88.0%.
A dataset for tempo estimation in electronic dance music containing 664 2-minute audio previews from Beatport, annotated from user corrections for evaluating automatic tempo estimation algorithms.
Yes. Higher values rank better for this benchmark.
1 model results are currently shown.
No. This benchmark is shown for reference but does not contribute to the overall score.