qwen3-vl:8b
qwen3vl · 8.8B · Q4_K_M
THINKING MODEL ECO MODE
HP HP Z8 G4 Workstation (Intel Xeon® Gold 6230)
252 GB · Ubuntu 24.04.4 LTS
Tested on April 28, 2026 · Submitted by yongjiangshi
Global Score
72 /100
Good
Hardware Fit
89/100
Quality
64/100
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Hardware
- Machine
- HP HP Z8 G4 Workstation
- CPU
- Intel Xeon® Gold 6230
- Cores
- 80 threads (40 cores)
- Frequency
- 2.1 GHz
- RAM
- 252 GB
- GPU
- TU104GL [Quadro RTX 5000]
- OS
- Ubuntu 24.04.4 LTS
- Arch
- x64
- Power Mode
- low-power
Performance
- Tokens/sec
- 68.2
- Standard deviation
- ±0.1
- First chunk latency
- 285 ms
- Time to first token
- 2.0 s
- Load time
- 42.4 s
- Memory usage
- 7.1 GB (3%)
- Total tokens
- 1303
- Thinking tokens (est.)
- ~772
Score breakdown
Speed
50/50
Time to first token
9/20
Memory
30/30
Quality
Reasoning
16/20
Coding
3/20
Instruction following
10/20
Structured output
11/15
Math
14/15
Multilingual
10/10
Category levels
Reasoning: Strong Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Strong Multilingual: Strong
Metadata
- Spec version
- 0.2.1
- Runtime
- Ollama 0.18.2
- Model format
- GGUF
- Hardware profile
- HIGH-END
- Result hash
- 9d9845ec7bcce6329ffebf8d5d62014d1e6fac59200950e7a519c271897dc5c4
Interpretation
Hardware fit: 89/100. Overall suitability: GOOD (Global 72/100). Category profile: Reasoning: Strong, Coding: Poor, Instruction Following: Adequate, Structured Output: Adequate, Math: Strong, Multilingual: Strong.
Warnings
- System was in low-power mode during this benchmark.
- CPU appears throttled (0.8 GHz current vs 2.1 GHz nominal, 40%).
Bench Environment
Thermal: nominal CPU load: avg 3% (peak 4%)
Run yours now
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npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest