PushupBench - Mean Absolute Error: leaderboard
Metric: Mean absolute error of the predicted repetition count (repetitions; predictions off by more than 50 are excluded as parsing or hallucination outliers), on PushupBench's 446 long-form exercise clips (22-117 s, 11 creators in 10 countries; 27 clips accept several valid counts) sampled at 5 fps up to 112 frames (Claude models capped at 100 frames by the API), 360p frames, greedy decoding, 10 prompt templates; lower is better. Source: arxiv.org. Saturation forecast: Around May 2027. 20 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Gemini 3 Flash | 2.9 |
| 2 | Gemini 3 Pro | 3.6 |
| 3 | Gemini 2.5 Pro | 5.7 |
| 4 | Qwen 3 VL 235B A22B Instruct | 7.1 |
| 5 | GPT-5 | 7.6 |
| 6 | Gemini 2.5 Flash | 7.7 |
| 7 | Qwen 3 VL 32B Instruct | 7.7 |
| 8 | Gemini 2.0 Flash | 7.8 |
| 9 | Qwen 2.5 VL 7B | 7.8 |
| 10 | Qwen 3 VL 8B Instruct | 7.9 |
| 11 | Qwen 3 VL 4B Instruct | 8.2 |
| 12 | Qwen 3 VL 30B A3B (Thinking) | 8.8 |
| 13 | Qwen 3 VL 4B (Thinking) | 8.9 |
| 14 | Claude Sonnet 4.5 | 9 |
| 15 | Qwen 3 VL 32B (Thinking) | 9.1 |
Interactive version: theaggregate.ai/benchmark?slug=pushupbench-mean-absolute-error · How It Works · Data refreshed daily, snapshot 2026-10-07.