Benchmark Almanac

Moment finding (Google DeepMind)

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 Jul 2026 Embodied reasoning Tasks kept private Last in a launch post Jul 2026 Last model added Jul 2026
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.
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. 1 Gemini Robotics ER 2 91.3%
#ModelScoreSettingDateSource
1 Gemini Robotics ER 2 91.3% Jul 2026 Model card

The best score passed 85% in Jul 2026

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

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

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
30 Jul 2026 Gemini Robotics ER 2 91.3 Moment-finding accuracy (0.96s mean absolute distance)

More in Robotics

All 86 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%
  • 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%
  • RoboCasa GR1 Tabletop Tasks Fading A simulated Fourier GR-1 humanoid with dexterous hands does 24 tabletop pick-and-place tasks, including unseen object and container pairs. Success rate per task. GR00T N1 50%