qwen3:8b
qwen3 · 8.2B · 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
80 /100
Excellent
Hardware Fit
85/100
Quality
78/100
Get this model
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
- 65.1
- Standard deviation
- ±0.1
- First chunk latency
- 289 ms
- Time to first token
- 4.2 s
- Load time
- 4.6 s
- Memory usage
- 5.6 GB (2%)
- Total tokens
- 1429
- Thinking tokens (est.)
- ~1017
Score breakdown
Speed
50/50
Time to first token
5/20
Memory
30/30
Quality
Reasoning
17/20
Coding
10/20
Instruction following
14/20
Structured output
15/15
Math
12/15
Multilingual
10/10
Category levels
Reasoning: Strong Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Strong Multilingual: Strong
Metadata
- Spec version
- 0.2.1
- Runtime
- Ollama 0.18.2
- Model format
- GGUF
- Hardware profile
- HIGH-END
- Result hash
- a7439d0cc992446d8a4519c3a95422bc92ed09d891812e88423bef5ef5717b54
Interpretation
Hardware fit: 85/100. Overall suitability: EXCELLENT (Global 80/100). Category profile: Reasoning: Strong, Coding: Adequate, Instruction Following: Adequate, Structured Output: Strong, 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 12% (peak 19%)
Run yours now
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest