qwen2.5:7b

qwen2 · 7.6B · Q4_K_M

MACHENIKE L16P (Intel Gen Intel® Core™ i9-12900HX)

32 GB · Microsoft Windows 11 专业版 10.0.26300

Tested on November 3, 2026

Top 23% Compare

Global Score

85 /100

Excellent

Hardware Fit

100/100

Quality

79/100

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Ollama

ollama pull qwen2.5:7b

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ollama.com/library/qwen2.5

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GGUF versions & quantizations

Hardware

Machine: MACHENIKE L16P
CPU: Intel Gen Intel® Core™ i9-12900HX
Cores: 24 total (24 perf)
Frequency: 2.3 GHz
RAM: 32 GB DDR5
GPU: NVIDIA GeForce RTX 4060 Laptop GPU
OS: Microsoft Windows 11 专业版 10.0.26300
Arch: x64
Power Mode: balanced

Performance

Tokens/sec Tokens generated per second — higher is better: 52.4
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.2
First chunk latency Delay before the first streamed chunk arrives from runtime: 48 ms
Time to first token How fast the model starts responding — lower is better: 48 ms
Load time Time to load the model into memory before inference: 2.0 s
Memory usage RAM consumed during inference — percentage of total system memory: 4.4 GB (14%)
Total tokens Total number of tokens generated across all benchmark prompts: 980

Score breakdown

Speed

50/50

Time to first token

20/20

Memory

30/30

Quality

Reasoning

14/20

Coding

18/20

Instruction following

16/20

Structured output

14/15

Math

8/15

Multilingual

9/10

Category levels

Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

Metadata

Spec version: 0.2.1
Runtime: Ollama 0.40.14
Model format: GGUF
Hardware profile: HIGH-END
Result hash: 0ff1be5d959bd5d54bf282c58e4000d3981f653863a44f4c1713fc7faa2133db

Interpretation

Hardware fit: 100/100. Overall suitability: EXCELLENT (Global 85/100). Category profile: Reasoning: Adequate, Coding: Strong, Instruction Following: Strong, Structured Output: Strong, Math: Adequate, Multilingual: Strong.

Bench Environment

Power: AC CPU load: avg 7% (peak 8%)

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