zai-org/glm-4.7-flash
deepseek2 · 30B · 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
82 /100
Excellent
Hardware Fit
83/100
Quality
81/100
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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
- 36.7
- Standard deviation
- ±0.6
- First chunk latency
- 29 ms
- Time to first token
- 131 ms
- Load time
- 82.7 s
- Memory usage
- 47.4 GB (40%)
- Total tokens
- 1280
Score breakdown
Speed
35/50
Time to first token
20/20
Memory
28/30
Quality
Reasoning
14/20
Coding
18/20
Instruction following
14/20
Structured output
15/15
Math
10/15
Multilingual
10/10
Category levels
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong
Metadata
- Spec version
- 0.2.1
- Runtime
- LM Studio
- Model format
- GGUF
- Hardware profile
- HIGH-END
- Result hash
- 7996d186e5c21651550b2a080faa04387405823e3dca459dcc065c3498b4d80a
Interpretation
Hardware fit: 83/100. Overall suitability: EXCELLENT (Global 82/100). Category profile: Reasoning: Adequate, Coding: Strong, Instruction Following: Adequate, Structured Output: Strong, Math: Adequate, Multilingual: Strong.
Bench Environment
CPU load: avg 22% (peak 25%)
Run yours now
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest