gemma4:12b

gemma4 · 11.9B · Q4_K_M

THINKING MODEL ECO MODE

ASUS (Intel Gen Intel® Core™ i7-12700)

30 GB · Ubuntu 26.04.1 LTS

Tested on November 13, 2026 · Submitted by elhoka

Top 21% Compare

Global Score

86 /100

Not Rec.

Hardware Fit

80/100

Quality

89/100

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ollama pull gemma4:12b

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ollama.com/library/gemma4

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GGUF versions & quantizations

Hardware

Machine: ASUS
CPU: Intel Gen Intel® Core™ i7-12700
Cores: 20 total (8 perf + 4 eff)
Frequency: 1.86 GHz
RAM: 30 GB
GPU: Alder Lake-S GT1 [UHD Graphics 770], NVIDIA GeForce RTX 3060
OS: Ubuntu 26.04.1 LTS
Arch: x64
Power Mode: low-power

Performance

Tokens/sec Tokens generated per second — higher is better: 74.4
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±4.2
First chunk latency Delay before the first streamed chunk arrives from runtime: 152 ms
Time to first token How fast the model starts responding — lower is better: 30.0 s
Load time Time to load the model into memory before inference: 0.0 s
Memory usage RAM consumed during inference — percentage of total system memory: 0.8 GB (3%)
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: ~719

Score breakdown

Speed

50/50

Time to first token

0/20

Memory

30/30

Quality

Reasoning

18/20

Coding

15/20

Instruction following

17/20

Structured output

15/15

Math

14/15

Multilingual

10/10

Category levels

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

Metadata

Spec version: 0.2.1
Runtime: Ollama 0.40.16
Model format: GGUF
Hardware profile: BALANCED
Result hash: 4c186b210c30e2276b6a8572dbf75b09e9088d2c02f3d25b4565836a3b9900a9

Interpretation

Hardware fit: 80/100. Overall suitability: NOT RECOMMENDED (Global 86/100). Category profile: Reasoning: Strong, Coding: Strong, Instruction Following: Strong, Structured Output: Strong, Math: Strong, Multilingual: Strong.

Warnings

System was in low-power mode during this benchmark.

Disqualifiers

Time to first token too high: 30000ms (maximum: 17116ms for BALANCED profile)

Bench Environment

Thermal: nominal CPU load: avg 21% (peak 23%)

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