qwen3.5:4b

qwen35 · 4.7B · Q4_K_M

LENOVO 20U30029MB (Intel Core™ i5-10210U)

15 GB · Pop 24.04 LTS

Tested on August 28, 2026

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Global Score

64 /100

Good

Hardware Fit

69/100

Quality

62/100

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Ollama

ollama pull qwen3.5:4b

View on Ollama Library

ollama.com/library/qwen3.5

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GGUF versions & quantizations

Hardware

Machine: LENOVO 20U30029MB
CPU: Intel Core™ i5-10210U
Cores: 8 threads (4 cores)
Frequency: 1.6 GHz
RAM: 15 GB
GPU: CometLake-U GT2 [UHD Graphics]
OS: Pop 24.04 LTS
Arch: x64
Power Mode: performance

Performance

Tokens/sec Tokens generated per second — higher is better: 7.4
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.7
First chunk latency Delay before the first streamed chunk arrives from runtime: 1.8 s
Time to first token How fast the model starts responding — lower is better: 1.8 s
Load time Time to load the model into memory before inference: 10.9 s
Memory usage RAM consumed during inference — percentage of total system memory: 3.5 GB (23%)
Total tokens Total number of tokens generated across all benchmark prompts: 1130

Score breakdown

Speed

19/50

Time to first token

20/20

Memory

30/30

Quality

Reasoning

15/20

Coding

14/20

Instruction following

6/20

Structured output

12/15

Math

6/15

Multilingual

9/10

Category levels

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

Metadata

Spec version: 0.2.1
Runtime: Ollama 0.32.1
Model format: GGUF
Hardware profile: ENTRY
Result hash: f94c32a53a8c879e4622db8c78753268e2fab80504c121913176ef687efe0fce

Interpretation

Hardware fit: 69/100. Overall suitability: GOOD (Global 64/100). Category profile: Reasoning: Adequate, Coding: Adequate, Instruction Following: Weak, Structured Output: Strong, Math: Weak, Multilingual: Strong.

Bench Environment

Thermal: moderate Power: AC Swap delta: +0.0 GB CPU load: avg 46% (peak 59%)

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