Local LLM Benchmarks

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gemma-4-12b-it-heretic

Quantization
Q8
Reasoning
off
Profile
quick
Suite
v2b
Date
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 & reasoning68.4
Math59.2
Instruction following50.0
Code75.0
German76.5

Tasks

CategoryTaskScore±n
Knowledge & reasoning mmlu_pro 80.0 ± 2.3 300
Knowledge & reasoning gpqa_diamond_gen 64.1 ± 3.4 198
Knowledge & reasoning musr_gen 61.2 ± 3.1 250
Math omni_math_gen 59.2 ± 3.1 250
Instruction following ifbench 35.7 ± 2.8 300
Instruction following ifeval 93.3 ± 2.0 150
Code livecodebench_gen 75.0 ± 3.1 200
German mmlu_prox_de 80.0 ± 2.3 300
German include_de_gen 69.5 ± 3.7 154

± 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] 512 529 854.0 757.1 858.8 5
Prompt processing [t/s] 4096 4012 1358.1 1354.0 1447.6 5
Prompt processing [t/s] 16384 15971 1386.1 1383.2 1422.2 5
Time to first token [ms] 512 529 619.5 616.0 705.1 5
Time to first token [ms] 4096 4012 2954.1 2778.1 2963.1 5
Time to first token [ms] 16384 15971 11521.9 11231.0 11546.2 5

Measured directly at the inference server.