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
Top 35% Compare
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
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest