qwen3.5:9b
qwen35 · 9.7B · Q4_K_M
THINKING MODEL ECO MODE
AZW GTR Pro (AMD RYZEN AI MAX+ 395)
125 GB · Ubuntu 24.04.4 LTS
Tested on March 5, 2026
Global Score
57 /100
Marginal
Hardware Fit
61/100
Quality
55/100
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Hardware
- Machine
- AZW GTR Pro
- CPU
- AMD RYZEN AI MAX+ 395
- Cores
- 32 threads (16 cores)
- Frequency
- 3 GHz
- RAM
- 125 GB
- GPU
- AMD Radeon 8060S
- OS
- Ubuntu 24.04.4 LTS
- Arch
- x64
- Power Mode
- low-power
Performance
- Tokens/sec
- 30.3
- Standard deviation
- ±0.1
- First chunk latency
- 205 ms
- Time to first token
- 8.7 s
- Load time
- 5.6 s
- Memory usage
- 18.8 GB (15%)
- Total tokens
- 1429
- Thinking tokens (est.)
- ~711
Score breakdown
Speed
30/50
Time to first token
1/20
Memory
30/30
Quality
Reasoning
17/20
Coding
2/20
Instruction following
7/20
Structured output
8/15
Math
12/15
Multilingual
9/10
Category levels
Reasoning: Strong Coding: Poor Instruction Following: Weak Structured Output: Adequate Math: Strong Multilingual: Strong
Metadata
- Spec version
- 0.2.1
- Runtime
- Ollama 0.17.4
- Model format
- GGUF
- Hardware profile
- HIGH-END
- Result hash
- 49b53e7742a5a86202ed26a80537f5c7b8edea5de506ca25cf50958bcef5c5bf
Interpretation
Hardware fit: 61/100. Overall suitability: MARGINAL (Global 57/100). Category profile: Reasoning: Strong, Coding: Poor, Instruction Following: Weak, Structured Output: Adequate, Math: Strong, Multilingual: Strong.
Warnings
- System was in low-power mode during this benchmark.
- CPU appears throttled (2.2 GHz current vs 3.0 GHz nominal, 73%).
Bench Environment
Thermal: nominal CPU load: avg 4% (peak 4%)
Run yours now
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest