PriMobiBench - User Profile Construction: leaderboard

PriMobiBench (2026) measures how completely a vision-language model can reconstruct a user profile from the screenshots a mobile GUI agent captures during routine tasks in 16 Android apps, a privacy risk once screenshots reach a cloud model. Share of the ground-truth profile attributes inferred correctly under chain-of-thought prompting, in percent, judged by GPT-5-mini; higher means more is extracted.

Metric: Profile success rate (%; share of the ground-truth attributes of 50 synthetic user profiles that the model correctly infers after reading every screenshot of a MobiLeak trajectory (320 trajectories across 16 Android apps with 2,960 inserted privacy elements in 25 attribute types), judged for semantic entailment by GPT-5-mini; chain-of-thought prompting, the protocol of the decomposition and mitigation experiments). Source: arxiv.org. Saturation forecast: Estimated already saturated. 5 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5 Mini69.5#349
2GLM-4.5V60.3#739
3Gemma 3 27B47.6#1638
4Qwen 2.5 VL 7B40.1#1796

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

Interactive version: theaggregate.ai/benchmark?slug=primobibench-user-profile-construction · How It Works · Data refreshed daily, snapshot 2026-11-12.