X-PCR - Image Quality Assessment: leaderboard
Metric: Accuracy (%) at stage 1, judging whether image quality supports diagnosis, on X-PCR's ophthalmic multiple-choice VQA (26,415 images from 51 public datasets, six imaging modalities, 52 diseases), zero-shot, temperature 0; higher is better. Source: arxiv.org. Saturation forecast: Estimated already saturated. 21 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5 | 98.9 |
| 2 | Gemini 2.5 Pro | 94.58 |
| 3 | GPT-5 Nano | 91.3 |
| 4 | GLM-4.5V | 90.56 |
| 5 | MedGemma-27B-IT | 90.03 |
| 6 | Gemini 2.5 Flash | 89.68 |
| 7 | Qwen 2.5 VL 7B | 88.34 |
| 8 | InternVL3-8B | 87.57 |
| 9 | Claude Haiku 4.5 | 77.59 |
Interactive version: theaggregate.ai/benchmark?slug=x-pcr-image-quality-assessment · How It Works · Data refreshed daily, snapshot 2026-10-07.