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
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$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest