qwen3-vl:2b
qwen3vl · 2.1B · 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
62 /100
Good
Hardware Fit
99/100
Quality
46/100
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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
- 127.4
- Standard deviation
- ±0.4
- First chunk latency
- 101 ms
- Time to first token
- 630 ms
- Load time
- 5.9 s
- Memory usage
- 33.2 GB (27%)
- Total tokens
- 1321
- Thinking tokens (est.)
- ~868
Score breakdown
Speed
50/50
Time to first token
19/20
Memory
30/30
Quality
Reasoning
7/20
Coding
0/20
Instruction following
11/20
Structured output
7/15
Math
13/15
Multilingual
8/10
Category levels
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Weak Math: Strong Multilingual: Strong
Metadata
- Spec version
- 0.2.1
- Runtime
- Ollama 0.17.4
- Model format
- GGUF
- Hardware profile
- HIGH-END
- Result hash
- 26d3a005caeebd6dd9a2ce3afbf31da81f198900d89ec7d0b6465bb421c44313
Interpretation
Hardware fit: 99/100. Overall suitability: GOOD (Global 62/100). Category profile: Reasoning: Weak, Coding: Poor, Instruction Following: Adequate, Structured Output: Weak, 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