gemma4:31b

gemma4 · 31.3B · Q4_K_M

THINKING MODEL

ASUSTeK COMPUTER INC. GX10 (Cortex-X925)

122 GB · Ubuntu 24.04.4 LTS

Tested on July 7, 2026 · Submitted by enigmatracer

Top 67% Compare

Global Score

66 /100

Not Rec.

Hardware Fit

40/100

Quality

77/100

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ollama pull gemma4:31b

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GGUF versions & quantizations

Hardware

Machine: ASUSTeK COMPUTER INC. GX10
CPU: Cortex-X925
Cores: 20 total (20 perf)
Frequency: 3.35 GHz
RAM: 122 GB
GPU: Device 2e12
OS: Ubuntu 24.04.4 LTS
Arch: arm64
Power Mode: performance

Performance

Tokens/sec Tokens generated per second — higher is better: 10.7
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.0
First chunk latency Delay before the first streamed chunk arrives from runtime: 983 ms
Time to first token How fast the model starts responding — lower is better: 20.3 s
Load time Time to load the model into memory before inference: 8.8 s
Memory usage RAM consumed during inference — percentage of total system memory: 21.4 GB (18%)
Total tokens Total number of tokens generated across all benchmark prompts: 1460
Thinking tokens (est.) Estimated internal reasoning tokens — models with "thinking" generate more tokens: ~695

Score breakdown

Speed

10/50

Time to first token

0/20

Memory

30/30

Quality

Reasoning

14/20

Coding

17/20

Instruction following

13/20

Structured output

14/15

Math

10/15

Multilingual

9/10

Category levels

Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong

Metadata

Spec version: 0.2.1
Runtime: Ollama 0.30.5
Model format: GGUF
Hardware profile: HIGH-END
Result hash: fa358efb7d09e10d84493f09d4f21f719e6214322db3382b61c9589f186515c9

Interpretation

Hardware fit: 40/100. Overall suitability: NOT RECOMMENDED (Global 66/100). Category profile: Reasoning: Adequate, Coding: Strong, Instruction Following: Adequate, Structured Output: Strong, Math: Adequate, Multilingual: Strong.

Disqualifiers

Time to first token too high: 20317ms (maximum: 11500ms for HIGH-END profile)

Bench Environment

Thermal: nominal CPU load: avg 5% (peak 5%)

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$ npm install -g metrillm@latest

$ metrillm

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Or run without installing: npx metrillm@latest