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audio benchmark

GiantSteps Tempo

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

Models1
Model coverage1
MetricScore
EvidenceB

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GiantSteps Tempo Ranking

Higher score ranks better on this benchmark.

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1ACQwen2.5-Omni-7BAlibaba Cloud / Qwen Team88.0%100.0%1CAug 11, 2026

GiantSteps Tempo Highlights

The leading models and scores on this benchmark.

Rank #1Qwen2.5-Omni-7B88.0%

What is GiantSteps Tempo?

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.

Family
GiantSteps Tempo
Modality
audio
Primary category
audio
Score direction
higher
LLMBoard eligible
No
Evaluation key
giantsteps-tempo|llm-stats-current

Benchmark scores retain their original unit. Overall score eligibility is shown separately.

FAQ

Common questions about GiantSteps Tempo.

Which model scores highest on GiantSteps Tempo?

Qwen2.5-Omni-7B is currently ranked first with 88.0%.

What does GiantSteps Tempo measure?

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.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

1 model results are currently shown.

Does this benchmark affect the overall score?

No. This benchmark is shown for reference but does not contribute to the overall score.

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