Benchmark Almanac

Moment finding (Google DeepMind)

Gemini Robotics ER 2 91.3%
In use

Models find the moment in a robot video when an event happens. Scored by accuracy and mean absolute time distance in seconds.

Reported in the Gemini Robotics ER 2 post as 91.3% accuracy and 0.96s mean absolute distance.

Made by
Google DeepMind
Released
July 2026
Kind
Embodied reasoning
Level
Everyday
Scored
Checked automatically
Answers
Short answer
Tasks
Kept private
Last in a launch post
July 2026
Last model added
July 2026
Scores refreshed
November 12th, 2026
1
Model scored in lab cards
1
Launch post lists it, from 1 lab

Gemini Robotics ER 2 leads with 91.3%

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. 91.3 Gemini Robotics ER 2
  1. 1 Gemini Robotics ER 2 91.3%

Source: Labs’ model cards

#ModelScoreSettingDateSource
1 Gemini Robotics ER 2 91.3% Jul 2026 Lab model card

The benchmark's own leaderboard has 1 model. We plot every source in the charts below.

Gemini Robotics ER 2 on the official leaderboard passed 85% in July 2026

All the scores we have, one dot each, so a model tested at several settings appears more than once.

On the benchmark’s own leaderboard Reported by the lab in its model card
0% 20% 40% 60% 80% 100% Near the ceiling (85%) Gemini Robotics ER 2 0% 20% 40% 60% 80% 100% Near the ceiling (85%) Gemini Robotics ER 2

Sources: Official Moment finding (Google DeepMind) leaderboard and labs’ model cards

One lab put it in a launch post in the last six months

Launch posts from every lab that has listed it, one tick per post. Tall colored ticks include it, and short gray ones leave it out.

Google DeepMind
DateLaunch postScoreAs the post writes it
Jul 30, 2026 Gemini Robotics ER 2 91.3 Moment-finding accuracy (0.96s mean absolute distance)

One lab claim next to the leaderboard

Each score a lab reported for its own model, beside the same model's best score on the leaderboard. Gaps mostly come from different harnesses, effort levels and task subsets. 1 of them match, which usually means one side copied the other. Every benchmark.

Model Lab says Board says Gap
Gemini Robotics ER 2 91.3% Moment-finding accuracy (0.96s mean absolute distance) 91.3% Leaderboard Same

More in Robotics

All 104 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%
  • RoboDojo In use Generalist manipulation policies run 42 Isaac Sim tasks and 18 remote real-robot tasks. Scored by task score and success rate. GPT-6 Astra 29%
  • RoboLab In use Zero-shot DROID Franka policies in Isaac Lab on 120 tabletop tasks at three instruction levels, 10 episodes each. Success rate. FLUX 3 Action 42.9%
  • 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%
  • 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%
  • 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%