qwen3.5:9b

qwen35 · 9.7B · Q4_K_M

AZW GTR Pro (AMD RYZEN AI MAX+ 395 w/ Radeon 8060S)

125 GB · Ubuntu 24.04.4 LTS

Tested on March 6, 2026

Top 13% Compare

Global Score

82 /100

Excellent

Hardware Fit

81/100

Quality

82/100

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Ollama

ollama pull qwen3.5:9b

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ollama.com/library/qwen3.5

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GGUF versions & quantizations

Hardware

Machine: AZW GTR Pro
CPU: AMD RYZEN AI MAX+ 395 w/ Radeon 8060S
Cores: 32 threads (16 cores)
Frequency: 3 GHz
RAM: 125 GB
GPU: Integrated / Apple Silicon
OS: Ubuntu 24.04.4 LTS
Arch: x64
Power Mode: performance

Performance

Tokens/sec Tokens generated per second — higher is better: 30.8
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.1
First chunk latency Delay before the first streamed chunk arrives from runtime: 195 ms
Time to first token How fast the model starts responding — lower is better: 195 ms
Load time Time to load the model into memory before inference: 6.8 s
Memory usage RAM consumed during inference — percentage of total system memory: 18.8 GB (15%)
Total tokens Total number of tokens generated across all benchmark prompts: 1019

Score breakdown

Speed

31/50

Time to first token

20/20

Memory

30/30

Quality

Reasoning

14/20

Coding

17/20

Instruction following

15/20

Structured output

15/15

Math

11/15

Multilingual

10/10

Category levels

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

Metadata

Spec version: 0.2.1
Runtime: Ollama 0.17.4
Model format: GGUF
Hardware profile: HIGH-END
Result hash: 773c5fb665875881a5c4500621d65c04b349675871b9efe778d590446ef4d891

Interpretation

Hardware fit: 81/100. Overall suitability: EXCELLENT (Global 82/100). Category profile: Reasoning: Adequate, Coding: Strong, Instruction Following: Strong, Structured Output: Strong, Math: Adequate, Multilingual: Strong.

Bench Environment

Thermal: nominal CPU load: avg 3% (peak 4%)

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