qwen3.8:27b

qwen35 · 27.3B · Q4_K_M

ASUSTeK COMPUTER INC. GX10 (Cortex-X925)

122 GB · Ubuntu 24.04.4 LTS

Tested on August 15, 2026 · Submitted by enigmatracer

Top 23% Compare

Global Score

85 /100

Excellent

Hardware Fit

79/100

Quality

87/100

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ollama pull qwen3.8:27b

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GGUF versions & quantizations

Hardware

Machine: ASUSTeK COMPUTER INC. GX10
CPU: Cortex-X925
Cores: 20 total (20 perf)
Frequency: 3.35 GHz
RAM: 122 GB
GPU: Device 2e12
OS: Ubuntu 24.04.4 LTS
Arch: arm64
Power Mode: performance

Performance

Tokens/sec Tokens generated per second — higher is better: 27.4
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±3.0
First chunk latency Delay before the first streamed chunk arrives from runtime: 593 ms
Time to first token How fast the model starts responding — lower is better: 593 ms
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: 18.2 GB (15%)
Total tokens Total number of tokens generated across all benchmark prompts: 1058

Score breakdown

Speed

29/50

Time to first token

20/20

Memory

30/30

Quality

Reasoning

18/20

Coding

17/20

Instruction following

16/20

Structured output

15/15

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: b1fdcb26fd044f8d759f010ee983f5f3ca5e6b395c2e1937e262cb985f536178

Interpretation

Hardware fit: 79/100. Overall suitability: EXCELLENT (Global 85/100). Category profile: Reasoning: Strong, Coding: Strong, Instruction Following: Strong, Structured Output: Strong, Math: Adequate, Multilingual: Strong.

Bench Environment

Thermal: nominal CPU load: avg 4% (peak 5%)

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