InternVL-Chat-V1.5: benchmark results
Provider: Shanghai AI Lab. Released 2024-04-18. Access: Open.
Aggregate Rating 1450 ± 16, rank #3773 of 10916 rated models, from 559 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| OpenVLM MMT-Bench - Plant Recognition | 95 | Score (%) | 98.1 |
| OpenVLM A-Bench - Nouns as Adjectives | 86 | Accuracy (%) | 97.2 |
| OpenVLM MMT-Bench - Helmet Anomaly Detection | 95 | Score (%) | 97.1 |
| OpenVLM MMBench V1.1 EN - Function Reasoning | 96.7 | Accuracy (%) | 96.3 |
| OpenVLM CCBench - Sketch Reasoning | 93.3 | Accuracy (%) | 95.2 |
| OpenVLM MMT-Bench - Scene Graph Recognition | 95 | Score (%) | 95.1 |
| OpenVLM MMBench V1.1 EN - Action Recognition | 93.2 | Accuracy (%) | 94.5 |
| OpenVLM ChartQA Test - Augmented | 94.5 | Relaxed Accuracy (%) | 94.4 |
| OpenVLM MMT-Bench - Weather Recognition | 100 | Score (%) | 94.4 |
| OpenVLM MMT-Bench - Action Quality Assessment | 35 | Score (%) | 94.2 |
| OpenVLM MMT-Bench - General Action Recognition | 100 | Score (%) | 93.4 |
| OpenVLM MMBench V1.1 CN - Action Recognition | 92.3 | Accuracy (%) | 92.6 |
Interactive version: theaggregate.ai/model?slug=internvl-chat-v1-5 · How It Works · Data refreshed daily, snapshot 2026-11-08.