AITZ_EM
Android-In-The-Zoo (AitZ) benchmark for evaluating autonomous GUI agents on smartphones. Contains 18,643 screen-action pairs with chain-of-action-thought annotations spanning over 70 Android apps. Designed to connect perception (screen layouts and UI elements) with cognition (action decision-making) for natural language-triggered smartphone task completion.
Qwen2.5 VL 72B Instruct from Alibaba Cloud / Qwen Team currently leads the AITZ_EM leaderboard with a score of 0.832 across 3 evaluated AI models.
Qwen2.5 VL 72B Instruct leads with 83.2%, followed by Qwen2.5 VL 32B Instruct at 83.1% and Qwen2.5 VL 7B Instruct at 81.9%.
Progress Over Time
Interactive timeline showing model performance evolution on AITZ_EM
AITZ_EM Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 |  Alibaba Cloud / Qwen Team | 72B | — | — | ||
| 2 | Alibaba Cloud / Qwen Team | 34B | — | — | ||
| 3 | Alibaba Cloud / Qwen Team | 8B | — | — |
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