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 7, 2026
Sorted by the source-provided rank. Higher score is better according to the registry.
| 1 | AC | 88.0% | 100.0% | 1 | C |
The top published results on this benchmark's own scale.
Definition and scoring fields from the benchmark registry.
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. The current registry marks this benchmark as not independently verified with evidence level B.
Source-native results are preserved. Eligibility for the overall LLMBoard score is a separate policy decision.
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 unique published model results are currently shown.
This benchmark is preserved as source-native evidence but is not eligible for the current overall score.