Local LLM Benchmarks

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gemma-4-12b-it-heretic

Quantization
NVFP4
Reasoning
off
Profile
quick
Suite
v2b
Date
2026-09-18
Hardware
NVIDIA DGX Spark, 128 GB RAM
Inference software
vLLM 0.26.0
Measured
directly at the inference server
Overall
57.7

Categories

CategoryScore
Knowledge & reasoning63.7
Math48.4
Instruction following46.8
Code62.0
German67.7

Tasks

CategoryTaskScore±n
Knowledge & reasoning mmlu_pro 76.7 ± 2.4 300
Knowledge & reasoning gpqa_diamond_gen 56.1 ± 3.5 198
Knowledge & reasoning musr_gen 58.4 ± 3.1 250
Math omni_math_gen 48.4 ± 3.2 250
Instruction following ifbench 33.0 ± 2.7 300
Instruction following ifeval 88.7 ± 2.6 150
Code livecodebench_gen 62.0 ± 3.4 200
German mmlu_prox_de 70.0 ± 2.7 300
German include_de_gen 63.0 ± 3.9 154

± 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] – – 21.4 21.4 21.4 5
Prompt processing [t/s] 512 528 5070.5 4947.7 5118.3 5
Prompt processing [t/s] 4096 4014 5258.0 5221.7 5293.9 5
Prompt processing [t/s] 16384 15985 3514.1 3505.2 3518.5 5
Time to first token [ms] 512 528 103.9 103.2 106.7 5
Time to first token [ms] 4096 4014 763.4 758.2 768.7 5
Time to first token [ms] 16384 15985 4548.8 4543.1 4560.4 5

Measured directly at the inference server.