gemma4:26b
gemma4 · 25.2B · Q4_K_M
THINKING MODEL
System manufacturer (AMD Ryzen 9 5950X 16-Core Processor)
32 GB · Microsoft Windows 11 Pro 10.0.26300
Tested on October 2, 2026 · Submitted by Qwen3.8vsGemma4
Global Score
84 /100
Not Rec.
Hardware Fit
80/100
Quality
86/100
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Hardware
- Machine
- System manufacturer
- CPU
- AMD Ryzen 9 5950X 16-Core Processor
- Cores
- 32 total (32 perf)
- Frequency
- 3.4 GHz
- RAM
- 32 GB DDR4
- GPU
- NVIDIA GeForce RTX 3090
- OS
- Microsoft Windows 11 Pro 10.0.26300
- Arch
- x64
- Power Mode
- balanced
Performance
- Tokens/sec
- 147.6
- Standard deviation
- ±7.6
- First chunk latency
- 139 ms
- Time to first token
- 30.0 s
- Load time
- 21.3 s
- Memory usage
- 1.7 GB (5%)
- Total tokens
- 1460
- Thinking tokens (est.)
- ~751
Score breakdown
Speed
50/50
Time to first token
0/20
Memory
30/30
Quality
Reasoning
17/20
Coding
14/20
Instruction following
18/20
Structured output
15/15
Math
13/15
Multilingual
9/10
Category levels
Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
Metadata
- Spec version
- 0.2.1
- Runtime
- Ollama 0.35.0
- Model format
- GGUF
- Hardware profile
- HIGH-END
- Result hash
- ca8f5c9b065bd3ddcdf566742f15fe0cea511de9b54f134d220bac4973362d26
Interpretation
Hardware fit: 80/100. Overall suitability: NOT RECOMMENDED (Global 84/100). Category profile: Reasoning: Strong, Coding: Adequate, Instruction Following: Strong, Structured Output: Strong, Math: Strong, Multilingual: Strong.
Disqualifiers
- Time to first token too high: 30000ms (maximum: 15463ms for HIGH-END profile)
Bench Environment
CPU load: avg 55% (peak 58%)
Run yours now
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest