Benchmark result
google/gemma-4-e2b on Apple M1 Max — 78.5 tok/s
Measured with LM Studio on November 4, 2026.
What the model built
Open full screen →The coding scenario asks for a playable game in a single HTML file. This is exactly what the model returned, unedited; the frame only adds a line that tells this page how tall it is.
How this run compares
6th fastest of 12 runs of this model on Apple M1 Max · median 78.5 tok/s.
sort
- 178.9tok/s65.3LM Studio · 4bit
- 278.9tok/s64.7LM Studio · 4bit
- 378.8tok/s57.3LM Studio · 4bit
- 478.7tok/s61.7LM Studio · 4bit
- 578.6tok/s68.1LM Studio · 4bit
- 678.5tok/s64.4LM Studio · 4bitthis run
- 778.4tok/s39.5LM Studio · 4bit
- 877.6tok/s62.3LM Studio · 4bit
- 976.4tok/s68.2LM Studio · 6bit
- 1074.4tok/s63.2LM Studio · 8bit
- 1171.3tok/s61.8LM Studio · Q4_K_M
- 1256.8tok/s69.4LM Studio · 8bit
Reproduce this run
toolLM Studio
modelgoogle/gemma-4-e2b (4bit)
context8,192
thinkingon
clientv0.4.98+102
Set those in LM Studio, then:
llm-benchmark benchmark --model "google/gemma-4-e2b" --tool "LM Studio"The client prompts for context length and thinking mode, and for the KV cache dtype on Unsloth Studio. Sampling is left at the model default — the values above are what the tool reported using, not overrides the client sent.