qwen3.8:27b

qwen35 · 27.3B · Q4_K_M

ECO MODE

AZW GTR Pro (AMD RYZEN AI MAX+ 395)

125 GB · Ubuntu 24.04.4 LTS

Tested on August 15, 2026

Top 39% Compare

Global Score

80 /100

Excellent

Hardware Fit

66/100

Quality

86/100

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ollama pull qwen3.8:27b

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ollama.com/library/qwen3.8

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GGUF versions & quantizations

Hardware

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

Performance

Tokens/sec Tokens generated per second — higher is better: 18.4
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±1.9
First chunk latency Delay before the first streamed chunk arrives from runtime: 587 ms
Time to first token How fast the model starts responding — lower is better: 587 ms
Load time Time to load the model into memory before inference: 7.4 s
Memory usage RAM consumed during inference — percentage of total system memory: 17.4 GB (14%)
Total tokens Total number of tokens generated across all benchmark prompts: 1076

Score breakdown

Speed

17/50

Time to first token

19/20

Memory

30/30

Quality

Reasoning

17/20

Coding

18/20

Instruction following

16/20

Structured output

14/15

Math

11/15

Multilingual

10/10

Category levels

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

Metadata

Spec version: 0.2.1
Runtime: Ollama 0.32.13
Model format: GGUF
Hardware profile: HIGH-END
Result hash: e6371adb4bee6c51fbeca951403d4b2bd2d1a77046eaa0def0e3c1aef74e4ef2

Interpretation

Hardware fit: 66/100. Overall suitability: EXCELLENT (Global 80/100). Category profile: Reasoning: Strong, Coding: Strong, Instruction Following: Strong, Structured Output: Strong, Math: Adequate, Multilingual: Strong.

Warnings

System was in low-power mode during this benchmark.
CPU appears throttled (2.1 GHz current vs 3.0 GHz nominal, 72%).

Bench Environment

Thermal: nominal CPU load: avg 5% (peak 6%)

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$ metrillm

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