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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 7, 2026

Published models1
Registry coverage1
MetricScore
EvidenceB

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GiantSteps Tempo leaderboard

Sorted by the source-provided rank. Higher score is better according to the registry.

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

GiantSteps Tempo highlights

The top published results on this benchmark's own scale.

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

What is GiantSteps Tempo?

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.

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

Source-native results are preserved. Eligibility for the overall LLMBoard score is a separate policy decision.

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 unique published model results are currently shown.

Does this benchmark affect the overall score?

This benchmark is preserved as source-native evidence but is not eligible for the current overall score.

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