hf.co/unsloth/Qwen3.8-27B-GGUF:UD-IQ1_M

qwen35 · 27.3B · unknown

ECO MODE

AZW GTR Pro (AMD RYZEN AI MAX+ 395)

125 GB · Ubuntu 24.04.4 LTS

Tested on August 21, 2026
Top 65% Compare
Global Score
68 /100
Good
Hardware Fit
69/100
Quality
67/100

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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
21.1
Standard deviation
±0.2
First chunk latency
571 ms
Time to first token
571 ms
Load time
4.9 s
Memory usage
22.7 GB (18%)
Total tokens
1051

Score breakdown

Speed
20/50
Time to first token
19/20
Memory
30/30

Quality

Reasoning
12/20
Coding
10/20
Instruction following
10/20
Structured output
15/15
Math
10/15
Multilingual
10/10

Category levels

Reasoning: Adequate Coding: Weak Instruction Following: Adequate 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
b7c7be62482ee2d874299f3f3105dfa0c9aa7fca5904bb4796db8271d85c4579

Interpretation

Hardware fit: 69/100. Overall suitability: GOOD (Global 68/100). Category profile: Reasoning: Adequate, Coding: Weak, Instruction Following: Adequate, 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, 71%).

Bench Environment

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

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