AI EVALUATION, IN CONTEXT.BY EQUALITY MACHINE

LLM Stats

PerceptionTest

A novel multimodal video benchmark designed to evaluate perception and reasoning skills of pre-trained models across video, audio, and text modalities. Contains 11.6k real-world videos (average 23 seconds) filmed by participants worldwide, densely annotated with six types of labels. Focuses on skills (Memory, Abstraction, Physics, Semantics) and reasoning types (descriptive, explanatory, predictive, counterfactual). Shows significant performance gap between human baseline (91.4%) and state-of-the-art video QA models (46.2%).

Evaluation context and evidence

Source
LLM Stats
Publisher
Not recorded
Benchmark release
Not recorded
Collected
2026-08-17
Modality
multimodal

These are source-reported observations, not independent reruns by this site. Check the task version, evaluation protocol, unit and reporting date before comparing models. Results from different setups are not a universal ranking.

Original sources

Reported results 2

Shown in source observation order, not ranked. Dates retain the precision provided by the source.

ModelValueUnitProtocolReported date and basisSource
Qwen2.5 VL 72B Instruct0.732Not recordedNot recorded2025-01-26 · model_announcementLLM Stats
Qwen2.5 VL 7B Instruct0.705Not recordedNot recorded2025-01-26 · model_announcementLLM Stats