Benchmark Radar
AI BENCHMARK PROFILE

AV-SyncBench

General AIMultimodal Perception

AV-SyncBench evaluates audio-visual synchronization by separating temporal and semantic consistency. It contains 3,269 videos and 38,390 samples across 10 scenarios and 5 tasks, with data filtered and verified for on-screen sound sources.

Released
2026-07-01
Readiness
Inspectable
Primary field
General AI

Why it matters

Existing AV feature extraction evaluations are coupled, preventing independent assessment of temporal and semantic alignment. AV-SyncBench provides a decoupled benchmark to quantify feature quality for alignment and downstream tasks.

Motivation

Audio-visual feature extraction is a fundamental component of multimodal understanding and generation tasks.

Primary resources

Benchmark Radar records only publicly supported details and links back to primary sources for verification.