AesEval-Bench - Precise Localization: leaderboard
Metric: Mean IoU (0-1, shown times 100) between the predicted bounding box and the flawed element's box on designs that have an aesthetic issue, averaged over AesEval-Bench's 12 indicators; input is the task question with the indicator's explanation, the design image and its layout, font and color metadata as JSON; higher is better. Source: arxiv.org. Saturation forecast: Around 2029. 8 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | GPT-5 | 19.93 | #91 |
| 2 | GPT-4o | 17.12 | #333 |
| 3 | O3 | 14.18 | #121 |
| 4 | O1 | 12.86 | #177 |
| 5 | Gemini 2.5 Pro | 9.77 | #145 |
| 6 | Qwen 2.5 VL 7B Instruct | 5.14 | #643 |
No result here: #3 Claude Opus 5.5, #5 GPT-6 Astra, #8 Claude Fable 5.1.
Interactive version: theaggregate.ai/benchmark?slug=aeseval-bench-precise-localization · How It Works · Data refreshed daily, snapshot 2026-10-11.