qwen/qwen3.6-27b
qwen35 · 27B · Q4_K_M
GMKtec EVO-X3 (AMD RYZEN AI MAX+ 395)
120 GB · Microsoft Windows 11 Pro 10.0.26300
Tested on November 1, 2026 · Submitted by Idiopathic
Global Score
76 /100
Not Rec.
Hardware Fit
47/100
Quality
89/100
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Hardware
- Machine
- GMKtec EVO-X3
- CPU
- AMD RYZEN AI MAX+ 395
- Cores
- 32 total (32 perf)
- Frequency
- 3 GHz
- RAM
- 120 GB LPDDR5
- GPU
- AMD Radeon(TM) 8060S Graphics
- OS
- Microsoft Windows 11 Pro 10.0.26300
- Arch
- x64
- Power Mode
- balanced
Performance
- Tokens/sec
- 10.7
- Standard deviation
- ±0.0
- First chunk latency
- 35 ms
- Time to first token
- 885 ms
- Load time
- 127.6 s
- Memory usage
- 67.5 GB (56%)
- Total tokens
- 1233
Score breakdown
Speed
9/50
Time to first token
16/20
Memory
22/30
Quality
Reasoning
18/20
Coding
18/20
Instruction following
16/20
Structured output
15/15
Math
12/15
Multilingual
10/10
Category levels
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
Metadata
- Spec version
- 0.2.1
- Runtime
- LM Studio
- Model format
- GGUF
- Hardware profile
- HIGH-END
- Result hash
- 6aefdb942724c2b118bebb606f544ace9703c6207c32d7dd73257887797e0076
Interpretation
Hardware fit: 47/100. Overall suitability: NOT RECOMMENDED (Global 76/100). Category profile: Reasoning: Strong, Coding: Strong, Instruction Following: Strong, Structured Output: Strong, Math: Strong, Multilingual: Strong.
Disqualifiers
- Model load time too high: 127579ms (maximum: 90000ms for HIGH-END profile)
Bench Environment
CPU load: avg 30% (peak 35%)
Run yours now
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest