Slime-13B: benchmark results
Provider: UCAS. Released 2024-10-29. Access: Open.
Aggregate Rating 1284 ± 41, rank #8928 of 10916 rated models, from 439 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| OpenVLM MMT-Bench - Single Object Tracking | 80 | Score (%) | 98.8 |
| OpenVLM MME - Scene | 169.5 | Score | 98.5 |
| OpenVLM MMT-Bench - Geometrical Relativity | 75 | Score (%) | 96.1 |
| OpenVLM MMT-Bench - Human Object Interaction Recognition | 90 | Score (%) | 95.6 |
| OpenVLM MMT-Bench - Salient Object Detection RGBD | 60 | Score (%) | 93.4 |
| OpenVLM MMT-Bench - Crowd Counting | 70 | Score (%) | 92.7 |
| OpenVLM MMT-Bench - Jigsaw Puzzle Solving | 40 | Score (%) | 92.7 |
| OpenVLM MMT-Bench - Micro Expression Recognition | 40 | Score (%) | 89.8 |
| OpenVLM MMT-Bench - Multiple View Image Understanding | 40 | Score (%) | 89.3 |
| OpenVLM MMT-Bench - CIM | 70 | Score (%) | 88.1 |
| OpenVLM MMT-Bench - Texture Material Recognition | 80 | Score (%) | 84.5 |
| OpenVLM MMT-Bench - 3D | 52.5 | Score (%) | 83.7 |
Interactive version: theaggregate.ai/model?slug=slime-13b · How It Works · Data refreshed daily, snapshot 2026-11-08.