PosterIQ - Design Understanding: leaderboard
Metric: Advanced design understanding group score (x 100): poster style classification accuracy and key-point coverage of composition and intention descriptions, on PosterIQ's poster-understanding tasks (7,765 instances from real, professional and synthetic posters), each group score being the mean of its positively oriented metrics; higher is better. Source: arxiv.org. Saturation forecast: Around January 2027. 8 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Gemini 2.5 Pro | 80.6 | #145 |
| 2 | GPT-5 | 80.1 | #91 |
| 3 | Claude Sonnet 4.5 | 72.7 | #138 |
| 4 | Grok 4 Fast | 68.2 | #242 |
| 5 | Gemma 3n E4B (IT) | 53.8 | #736 |
No result here: #3 Claude Opus 5.5, #5 GPT-6 Astra, #8 Claude Fable 5.1.
Interactive version: theaggregate.ai/benchmark?slug=posteriq-design-understanding · How It Works · Data refreshed daily, snapshot 2026-10-11.