qwen3.5:9b

qwen35 · 9.7B · Q4_K_M

THINKING MODEL ECO MODE

AZW GTR Pro (AMD RYZEN AI MAX+ 395)

125 GB · Ubuntu 24.04.4 LTS

Tested on March 5, 2026
Top 72% Compare
Global Score
57 /100
Marginal
Hardware Fit
61/100
Quality
55/100

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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
AMD Radeon 8060S
OS
Ubuntu 24.04.4 LTS
Arch
x64
Power Mode
low-power

Performance

Tokens/sec
30.3
Standard deviation
±0.1
First chunk latency
205 ms
Time to first token
8.7 s
Load time
5.6 s
Memory usage
18.8 GB (15%)
Total tokens
1429
Thinking tokens (est.)
~711

Score breakdown

Speed
30/50
Time to first token
1/20
Memory
30/30

Quality

Reasoning
17/20
Coding
2/20
Instruction following
7/20
Structured output
8/15
Math
12/15
Multilingual
9/10

Category levels

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

Metadata

Spec version
0.2.1
Runtime
Ollama 0.17.4
Model format
GGUF
Hardware profile
HIGH-END
Result hash
49b53e7742a5a86202ed26a80537f5c7b8edea5de506ca25cf50958bcef5c5bf

Interpretation

Hardware fit: 61/100. Overall suitability: MARGINAL (Global 57/100). Category profile: Reasoning: Strong, Coding: Poor, Instruction Following: Weak, Structured Output: Adequate, Math: Strong, Multilingual: Strong.

Warnings

  • System was in low-power mode during this benchmark.
  • CPU appears throttled (2.2 GHz current vs 3.0 GHz nominal, 73%).

Bench Environment

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

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