MMAU

A massive multi-task audio understanding and reasoning benchmark comprising 10,000 carefully curated audio clips paired with human-annotated natural language questions spanning speech, environmental sounds, and music. Requires expert-level knowledge and complex reasoning across 27 distinct skills.

Qwen2.5-Omni-7B from Alibaba Cloud / Qwen Team currently leads the MMAU leaderboard with a score of 0.656 across 1 evaluated AI models.

Paper

Alibaba Cloud / Qwen TeamQwen2.5-Omni-7B leads with 65.6%.

Progress Over Time

Interactive timeline showing model performance evolution on MMAU

State-of-the-art frontier
Open
Proprietary

MMAU Leaderboard

1 models
ContextCostLicense
1
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
7B
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FAQ

Common questions about MMAU.

What is the MMAU benchmark?

A massive multi-task audio understanding and reasoning benchmark comprising 10,000 carefully curated audio clips paired with human-annotated natural language questions spanning speech, environmental sounds, and music. Requires expert-level knowledge and complex reasoning across 27 distinct skills.

What is the MMAU leaderboard?

The MMAU 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 0.656. The average score across all models is 0.656.

What is the highest MMAU score?

The highest MMAU score is 0.656, achieved by Qwen2.5-Omni-7B from Alibaba Cloud / Qwen Team.

How many models are evaluated on MMAU?

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

Where can I find the MMAU paper?

The MMAU paper is available at https://arxiv.org/abs/2410.19168. The paper details the methodology, dataset construction, and evaluation criteria.

What categories does MMAU cover?

MMAU is categorized under audio, multimodal, and reasoning. The benchmark evaluates multimodal models.

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