Local LLM Benchmarks

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occamy-1.0

Quantization
NVFP4
Reasoning
off
Profile
quick
Suite
v2b
Date
2026-09-21 – 2026-09-22
Hardware
NVIDIA DGX Spark, 128 GB RAM
Inference software
vLLM 0.26.0
Measured
directly at the inference server
Overall
64.0

Categories

CategoryScore
Knowledge & reasoning73.1
Math62.4
Instruction following44.7
Code63.0
German76.9

Tasks

CategoryTaskScore±n
Knowledge & reasoning mmlu_pro 84.0 ± 2.1 300
Knowledge & reasoning gpqa_diamond_gen 71.7 ± 3.2 198
Knowledge & reasoning musr_gen 63.6 ± 3.0 250
Math omni_math_gen 62.4 ± 3.1 250
Instruction following ifbench 31.3 ± 2.7 300
Instruction following ifeval 85.3 ± 2.9 150
Code livecodebench_gen 63.0 ± 3.4 200
German mmlu_prox_de 79.7 ± 2.3 300
German include_de_gen 71.4 ± 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] – – 36.7 36.7 36.7 5
Prompt processing [t/s] 512 529 3523.5 3387.4 3545.5 5
Prompt processing [t/s] 4096 4024 5539.4 5491.9 5551.9 5
Prompt processing [t/s] 16384 16001 5467.9 5449.6 5483.6 5
Time to first token [ms] 512 529 150.1 149.2 156.0 5
Time to first token [ms] 4096 4024 726.4 724.8 732.7 5
Time to first token [ms] 16384 16001 2926.3 2918.0 2936.2 5

Measured directly at the inference server.