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GiantSteps Tempo

Paper

Progress Over Time

Interactive timeline showing model performance evolution on GiantSteps Tempo

State-of-the-art frontier
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GiantSteps Tempo Leaderboard

1 models
ContextCostLicense
1
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
7B
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About this benchmark

What is 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.

GiantSteps Tempo is a audio benchmark evaluating models on audio tasks. LLM Stats tracks 1 models on this benchmark, scored on a 0–1 scale. The current average is 0.9, with the leader at 0.9.

Compare leaders on the best AI for audio leaderboards.

Current leaders

Qwen2.5-Omni-7B from Alibaba Cloud / Qwen Team currently leads the GiantSteps Tempo leaderboard with a score of 0.880 across 1 evaluated AI models.

1Qwen2.5-Omni-7BAlibaba Cloud / Qwen Team88.0%

FAQ

Common questions about the GiantSteps Tempo benchmark and leaderboard.

What is the GiantSteps Tempo 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.

What is the GiantSteps Tempo leaderboard?

The GiantSteps Tempo leaderboard ranks 1 AI models based on their performance on this benchmark. Currently, Qwen2.5-Omni-7B by Alibaba Cloud / Qwen Team leads with a score of 0.880. The average score across all models is 0.880.

What is the highest GiantSteps Tempo score?

The highest GiantSteps Tempo score is 0.880, achieved by Qwen2.5-Omni-7B from Alibaba Cloud / Qwen Team.

How many models are evaluated on GiantSteps Tempo?

1 models have been evaluated on the GiantSteps Tempo benchmark, with 0 verified results and 1 self-reported results.

Where can I find the GiantSteps Tempo paper?

The GiantSteps Tempo paper is available at https://archives.ismir.net/ismir2015/paper/000246.pdf. The paper details the methodology, dataset construction, and evaluation criteria.

What categories does GiantSteps Tempo cover?

GiantSteps Tempo is categorized under audio. The benchmark evaluates audio models.

What is the best open-source model on GiantSteps Tempo?

Qwen2.5-Omni-7B by Alibaba Cloud / Qwen Team is the top-ranked open-source model on GiantSteps Tempo, with a score of 0.880 (rank #1).

How recent are the GiantSteps Tempo leaderboard results?

The GiantSteps Tempo leaderboard was last updated in August 2026 and currently includes 1 evaluated models.
GiantSteps Tempo Leaderboard