gemma4:31b

gemma4 · 31.3B · Q4_K_M

AZW GTR Pro (AMD RYZEN AI MAX+ 395)

125 GB · Ubuntu 24.04.4 LTS

Tested on April 3, 2026

Top 27% Compare

Global Score

78 /100

Good

Hardware Fit

47/100

Quality

92/100

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ollama pull gemma4:31b

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ollama.com/library/gemma4

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GGUF versions & quantizations

Hardware

Machine: AZW GTR Pro
CPU: AMD RYZEN AI MAX+ 395
Cores: 32 threads (16 cores)
Frequency: 3 GHz
RAM: 125 GB
GPU: Radeon 8060S
OS: Ubuntu 24.04.4 LTS
Arch: x64
Power Mode: performance

Performance

Tokens/sec Tokens generated per second — higher is better: 9.8
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.1
First chunk latency Delay before the first streamed chunk arrives from runtime: 873 ms
Time to first token How fast the model starts responding — lower is better: 873 ms
Load time Time to load the model into memory before inference: 7.0 s
Memory usage RAM consumed during inference — percentage of total system memory: 68.3 GB (55%)
Total tokens Total number of tokens generated across all benchmark prompts: 1112

Score breakdown

Speed

8/50

Time to first token

16/20

Memory

23/30

Quality

Reasoning

19/20

Coding

19/20

Instruction following

16/20

Structured output

15/15

Math

14/15

Multilingual

9/10

Category levels

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

Metadata

Spec version: 0.2.1
Runtime: Ollama 0.20.0
Model format: GGUF
Hardware profile: HIGH-END
Result hash: 118ead35ebbcc5a229fbe016739c39f8cde8c79c65a0c533b95b77cb6f5252d1

Interpretation

Hardware fit: 47/100. Overall suitability: GOOD (Global 78/100). Category profile: Reasoning: Strong, Coding: Strong, Instruction Following: Strong, Structured Output: Strong, Math: Strong, Multilingual: Strong.

Bench Environment

Thermal: nominal CPU load: avg 5% (peak 6%)

Run yours now

$ npm install -g metrillm@latest

$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest