muse-glimmer

ECO MODE

AZW GTR Pro (AMD RYZEN AI MAX+ 395)

125 GB · Ubuntu 24.04.4 LTS

Tested on September 5, 2026

Top 55% Compare

Global Score

74 /100

Good

Hardware Fit

41/100

Quality

88/100

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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: 12.1
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.6
First chunk latency Delay before the first streamed chunk arrives from runtime: 8.7 s
Time to first token How fast the model starts responding — lower is better: 8.7 s
Load time Time to load the model into memory before inference: 0.3 s
Memory usage RAM consumed during inference — percentage of total system memory: 0.0 GB (0%)
Total tokens Total number of tokens generated across all benchmark prompts: 1522

Score breakdown

Speed

10/50

Time to first token

1/20

Memory

30/30

Quality

Reasoning

18/20

Coding

18/20

Instruction following

13/20

Structured output

14/15

Math

15/15

Multilingual

10/10

Category levels

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

Metadata

Spec version: 0.2.1
Runtime: Ollama 0.32.13
Model format: GGUF
Hardware profile: HIGH-END
Result hash: 4a097c463e6b87b4638ceb36f93a3b9de605dabe5692afc5b605e62c252a7196

Interpretation

Hardware fit: 41/100. Overall suitability: GOOD (Global 74/100). Category profile: Reasoning: Strong, Coding: Strong, Instruction Following: Adequate, Structured Output: Strong, Math: Strong, Multilingual: Strong.

Warnings

System was in low-power mode during this benchmark.

Bench Environment

Thermal: moderate CPU load: avg 6% (peak 8%)

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