Gemma 3n E4B: benchmark results

Google's effective-4B on-device Gemma 3n model (June 2025) taking image, audio, video, and text within roughly 3GB of memory. Provider: Google. Released 2025-06-26. Access: Open.

Aggregate Rating 1472 ± 15, rank #878 of 1656 rated models, from 193 benchmark results.

Strongest benchmark results

BenchmarkScoreMetricPercentile
EuroEval Finnish NLU - Scandisent FI93.19Matthews correlation coefficient (%)97.6
EuroEval German NLU - Germanquad68.37Character F1 (%)95.9
EuroEval Finnish NLU - Tydiqa FI75.84Character F1 (%)94.6
EuroEval Icelandic NLU - NQII60.23Character F1 (%)94.5
EuroEval Portuguese NLU - MultiWikiQA PT77.48Character F1 (%)94.5
EuroEval French NLU - FQuAD74.51Character F1 (%)93.6
EuroEval Norwegian NLU - Norquad74.34Character F1 (%)93.5
EuroEval Swedish NLU - Swerec79.51Matthews correlation coefficient (%)93.4
EuroEval Spanish NLU - MLQA ES67.25Character F1 (%)89.7
EuroEval Faroese NLU - FoQA74.21Character F1 (%)86
PARSA-Bench - Speech Translation (Persian to English)68COMET (0-1 times 100) of English translations of 500 spoken 85.7
EuroEval Dutch NLU - SQuAD NL77.8Character F1 (%)85.5

Interactive version: theaggregate.ai/model?slug=gemma-3n-e4b · How It Works · Data refreshed daily, snapshot 2026-10-20.