Where2Place
gemini-robotics-er-1.5-preview 59% Only in system cards 100 cluttered real photos with free-space placement instructions. The model points, scored correct if inside the ground-truth mask.
Only 100 images, so gaps under ~10 points are noise. Scoring varies by source (single vs several points, thinking on/off).
- Level
- Everyday Most adults, without training
- Scored
- Checked automatically A program checks the result against an answer key, unit tests or the expected final state.
- Answers
- Short answer A number, word or short string matched to a key.
gemini-robotics-er-1.5-preview leads with 59%
Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs.
- 1 gemini-robotics-er-1.5-preview 59%
- 2 Gemini Robotics-ER 45%
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | gemini-robotics-er-1.5-preview | 59% | Sep 2025 | Model card | |
| 2 | Gemini Robotics-ER | 45% | Mar 2025 | Model card |
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Labs report it only in system cards
We read the headline results of 479 launch posts from 51 labs, and none of them list this benchmark. Some system cards do, below.
2 system cards report it, from 1 lab
Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.
| Date | Document | Score | As the document writes it | Section |
|---|---|---|---|---|
| 25 Sep 2025 | gemini-robotics-er-1.5-preview technical report | 59 | Where2Place (Table 19, thinking on). Thinking off 48.0 | Capabilities |
| 25 Mar 2025 | Gemini Robotics-ER technical report | 45 | Where2Place, 2D pointing accuracy (Table 3) | Capabilities |
More in Robotics
- ERQA In use 400 multiple-choice visual questions from robot and egocentric footage on spatial, trajectory, action and state reasoning. Accuracy. Gemini Robotics ER 2 78.5%
- RoboLab In use Zero-shot DROID Franka policies in Isaac Lab on 120 tabletop tasks at three instruction levels, 10 episodes each. Success rate.
GR00T N1.7 8.58% - Human proximity (Google DeepMind robotics) In use Models judge from robot camera views whether a human is within 1 meter, a spatial awareness check for safe robot behavior. Scored by accuracy. Gemini Robotics ER 2 93%
- Moment finding (Google DeepMind) In use Models find the moment in a robot video when an event happens. Scored by accuracy and mean absolute time distance in seconds. Gemini Robotics ER 2 91.3%
- Progress classification (Google DeepMind) In use Models assign each frame of a robot video to one of five task-progress bands from 0 to 100 percent. Scored by accuracy. Gemini Robotics ER 2 57.4%
- LIBERO Fading Simulated Franka tabletop tasks in four 10-task suites. Policies fine-tuned on 50 demos per task. Success rate over ~50 trials.
MolmoAct 2 97.2%