rtx-5090-benchmarks / reports /gemma-4-12b-it-q6-k.md
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Correct HumanEval (harness bug) + publish Gemma 4 12B + quality leaderboard card
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Benchmark Report: gemma-4-12b-it (Q6_K)

Date: 2026-06-04
Author: WITCHEER
Platform: NVIDIA GeForce RTX 5090 Benchmark Rig (capsule)


Model

Field Value
Model gemma-4-12b-it
Parameters 11.91 B (dense)
Quantization Q6_K
File size 9.11 GiB
Engine llama.cpp (CUDA 12.8 (patched))

Hardware

Component Spec
GPU NVIDIA GeForce RTX 5090
CPU AMD Ryzen 5 9600
RAM 64GB DDR5-5600
OS Ubuntu 26.04 LTS
CUDA 12.8 (patched)

Quality Benchmarks

All benchmarks use generative evaluation via llama-server chat completions. Multiple-choice tasks (MMLU, ARC, HellaSwag) use letter extraction instead of loglikelihood scoring -- results are internally consistent for model comparison but absolute scores may differ from logprob-based evaluations by 5-15%.

Summary

Benchmark Score Metric
MMLU 78.86% accuracy
ARC-Challenge 94.03% accuracy
HellaSwag 81.62% accuracy
HumanEval 87.20% pass@1
GSM8K 96.36% exact_match

MMLU Breakdown by Category

Category Score Correct / Total
Stem 77.84% 1,173 / 1,507
Humanities 77.81% 1,231 / 1,582
Social Sciences 88.57% 1,464 / 1,653
Other 73.19% 1,660 / 2,268

Sampled at 50% (seed 42)


Speed Benchmarks

Measured with llama-bench. All layers GPU-offloaded (-ngl 99).

Prompt Processing (tokens/s)

Context Length Speed +/-sigma
128 5,099 452.9
512 7,160 149.1
2048 6,788 10.4
4096 6,605 1.8
8192 6,359 5.5
16384 5,846 5.2

Generation (tokens/s)

Metric Speed +/-sigma
tg128 122.3 0.2

Methodology

Evaluation Framework

Custom generative evaluators built for this rig. All benchmarks run through llama-server's /v1/chat/completions endpoint.

  • Scoring: Generative evaluation (not loglikelihood)
  • Thinking: disabled
  • MCQ scoring: First valid letter extracted from response (A/B/C/D)
  • Sampling: 50% of dataset used
  • Temperature: 0 (deterministic)
  • Max tokens: 2,048
  • GPU offload: All layers (-ngl 99)

Benchmarked by WITCHEER on the RTX 5090 Benchmark Rig. Source: github.com/notwitcheer/llm-bench-rig/blob/main/reports/gemma-4-12b-it-q6-k.md. Dataset: huggingface.co/datasets/witcheer/rtx-5090-benchmarks/blob/main/reports/gemma-4-12b-it-q6-k.md.