gemma4:12b-fast

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 23% Compare
Global Score
85 /100
Not Rec.
Hardware Fit
80/100
Quality
87/100

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Hardware

Machine
ASUS
CPU
Intel Gen Intel® Core™ i7-12700
Cores
20 total (8 perf + 4 eff)
Frequency
1.51 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
75.9
Standard deviation
±6.5
First chunk latency
169 ms
Time to first token
30.0 s
Load time
8.4 s
Memory usage
1.3 GB (5%)
Total tokens
1460
Thinking tokens (est.)
~745

Score breakdown

Speed
50/50
Time to first token
0/20
Memory
30/30

Quality

Reasoning
18/20
Coding
14/20
Instruction following
16/20
Structured output
15/15
Math
14/15
Multilingual
10/10

Category levels

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

Metadata

Spec version
0.2.1
Runtime
Ollama 0.40.13
Model format
GGUF
Hardware profile
BALANCED
Result hash
ffcbdb92df9c6b25598cc16c3c594b4cd96310943ece80b5bb74ad33c8ad58d2

Interpretation

Hardware fit: 80/100. Overall suitability: NOT RECOMMENDED (Global 85/100). Category profile: Reasoning: Strong, Coding: Adequate, 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 19% (peak 24%)

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