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PhysBench is a 10 k‑item, video‑image‑text benchmark that tests whether a vision–language model (VLM) can reason about the real‑world physics that governs everyday objects and scenes.
- It covers four domains—object Properties, object Relationships, Scene understanding and future‑state Dynamics—split into 19 fine‑grained tasks such as mass comparison, collision outcomes and fluid behaviour.
- Unlike most other benchmarks, humans still outperform AI on the PhysBench.
- State of play:
- • Human reference accuracy: 95.87 %
- • 2024 AI accuracy (O1): 55.11 %
