Local LLM Benchmarks

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gemma-4-12b-it

Quantization
Q8
Reasoning
off
Profile
quick
Suite
v2b
Date
2026-09-18 – 2026-09-19
Hardware
NVIDIA DGX Spark, 128 GB RAM
Inference software
vLLM 0.26.0
Measured
directly at the inference server
Overall
65.8

Categories

CategoryScore
Knowledge & reasoning67.5
Math60.8
Instruction following51.3
Code75.0
German74.5

Tasks

CategoryTaskScore±n
Knowledge & reasoning mmlu_pro 79.3 ± 2.3 300
Knowledge & reasoning gpqa_diamond_gen 63.1 ± 3.4 198
Knowledge & reasoning musr_gen 60.0 ± 3.1 250
Math omni_math_gen 60.8 ± 3.1 250
Instruction following ifbench 38.3 ± 2.8 300
Instruction following ifeval 90.7 ± 2.4 150
Code livecodebench_gen 75.0 ± 3.1 200
German mmlu_prox_de 78.3 ± 2.4 300
German include_de_gen 66.9 ± 3.8 154

± is the standard error; the 95% interval spans roughly 1.96 standard errors around the score.

Speed

MeasureContext (target)Context (actual)Medianp10p90n
Generation [t/s] – – 16.5 16.5 16.5 5
Prompt processing [t/s] 512 529 851.2 772.9 852.9 5
Prompt processing [t/s] 4096 4012 1359.0 1357.9 1445.3 5
Prompt processing [t/s] 16384 15971 1408.5 1406.8 1429.6 5
Time to first token [ms] 512 529 621.5 620.2 687.9 5
Time to first token [ms] 4096 4012 2952.1 2782.7 2954.6 5
Time to first token [ms] 16384 15971 11338.7 11172.4 11352.7 5

Measured directly at the inference server.