IDEAL-Bench - Room Type Accuracy: leaderboard

Room type accuracy on IDEAL-Bench (2026), a single-image 3D indoor layout benchmark: the percent of parse-successful scenes whose predicted room type matches the ground truth. Higher is better.

Metric: Room type accuracy (%) among parse-successful scenes: the predicted room type matches the ground truth, IDEAL-Bench 3D layout task; higher is better. Source: arxiv.org. Saturation forecast: Estimated already saturated. 13 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 3 VL 235B A22B Instruct90.3#522
2GPT-5.489.3#123
3GPT-4o88.5#741
4Claude Sonnet 4.688.5#161
5Gemini 2.5 Pro87.5#266
6GLM-4.6V87#701
7Qwen 2.5 VL 72B Instruct85.4#846
8Gemma 4 31B (IT)84.4#342
9Qwen 3 VL 8B Instruct84.1#981
10Qwen 3 VL 30B A3B Instruct84#871

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=ideal-bench-room-type-accuracy · How It Works · Data refreshed daily, snapshot 2026-11-13.