AI EVALUATION, IN CONTEXT.BY EQUALITY MACHINE

Model reports

VBench

Sixteen dimensions folded into a Quality Score and a Semantic Score and then into one Total Score. Every dimension is min-max normalized across the models on the leaderboard at the time, so a total states a model's standing within that pool rather than an absolute rate, and two totals read from different leaderboard revisions are not the same measurement.

Evidence available for this benchmark

Numeric results have not been collected for this source record. Use the paper, code or dataset below to check the task and experiments; this does not imply that the original work contains no results.

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Recorded attention

Observed on: 2026-10-13

GitHub stars
1,818
Hugging Face paper upvotes
9

vchitect/vbench · View source snapshot

Dated attention observations, not live counts or benchmark scores.

Evaluation context and evidence

Source
Model reports
Publisher
Nanyang Technological University
Benchmark release
2023-11-29
Collected
Not recorded
Modality
Not recorded

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.

Reported results 0

This source record has no numeric results in our collection. That does not mean a score of zero or that no public results exist. Consult the original resources above.

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