qwen3.5:27b

qwen35 · 27.8B · 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 22% Compare

Global Score

79 /100

Good

Hardware Fit

57/100

Quality

89/100

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ollama pull qwen3.5:27b

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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: 10.7
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.0
First chunk latency Delay before the first streamed chunk arrives from runtime: 341 ms
Time to first token How fast the model starts responding — lower is better: 341 ms
Load time Time to load the model into memory before inference: 10.2 s
Memory usage RAM consumed during inference — percentage of total system memory: 39.7 GB (32%)
Total tokens Total number of tokens generated across all benchmark prompts: 1050

Score breakdown

Speed

9/50

Time to first token

20/20

Memory

28/30

Quality

Reasoning

17/20

Coding

19/20

Instruction following

16/20

Structured output

15/15

Math

12/15

Multilingual

10/10

Category levels

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

Metadata

Spec version: 0.2.1
Runtime: Ollama 0.17.4
Model format: GGUF
Hardware profile: HIGH-END
Result hash: def0d7a41289905e602cd879ee5a2ac4f3f643803c7f6cb93e9d9209cf8d2966

Interpretation

Hardware fit: 57/100. Overall suitability: GOOD (Global 79/100). Category profile: Reasoning: Strong, Coding: Strong, Instruction Following: Strong, Structured Output: Strong, Math: Strong, Multilingual: Strong.

Bench Environment

Thermal: nominal CPU load: avg 2% (peak 3%)

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