BARISTA - Phrase Grounding: leaderboard
Metric: COCO-style mAP (%, IoU 0.5 to 0.95, times 100) of the boxes a model returns for a referring phrase, over 1,000 frozen single frames on BARISTA, an egocentric coffee-preparation video dataset with verified per-frame scene graphs, zero-shot with shared task prompts, temperature 0.7 (GPT-5.4 mini at its fixed sampling), low thinking effort for the closed models, mean of three runs; higher is better. Source: arxiv.org. Saturation forecast: Around January 2027. 5 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Qwen 3.5 27B | 51.8 |
| 2 | Gemma 4 31B | 43.2 |
| 3 | Qwen 3.5 9B | 35 |
| 4 | GPT-5.4 Mini (Low) | 6.8 |
Interactive version: theaggregate.ai/benchmark?slug=barista-phrase-grounding · How It Works · Data refreshed daily, snapshot 2026-10-07.