qwen3:14b

qwen3 · 14.8B · Q4_K_M

Mac mini (Apple M4)

24 GB · macOS 26.3

Tested on March 11, 2026

Top 11% Compare

Global Score

83 /100

Excellent

Hardware Fit

73/100

Quality

87/100

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ollama pull qwen3:14b

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ollama.com/library/qwen3

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GGUF versions & quantizations

Hardware

Machine: Mac mini
CPU: Apple M4
Cores: 10 total (4 perf + 6 eff)
Frequency: 2.4 GHz
RAM: 24 GB LPDDR5
GPU: Apple M4
OS: macOS 26.3
Arch: arm64
Power Mode: balanced

Performance

Tokens/sec Tokens generated per second — higher is better: 11.1
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.1
First chunk latency Delay before the first streamed chunk arrives from runtime: 500 ms
Time to first token How fast the model starts responding — lower is better: 500 ms
Load time Time to load the model into memory before inference: 7.3 s
Memory usage RAM consumed during inference — percentage of total system memory: 9.4 GB (39%)
Total tokens Total number of tokens generated across all benchmark prompts: 962

Score breakdown

Speed

25/50

Time to first token

20/20

Memory

28/30

Quality

Reasoning

17/20

Coding

18/20

Instruction following

15/20

Structured output

15/15

Math

12/15

Multilingual

10/10

Category levels

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

Metadata

Spec version: 0.2.1
Runtime: Ollama 0.17.7
Model format: GGUF
Hardware profile: ENTRY
Result hash: 7d57cf032b408e6769175e95400671521761a9f00b965712f2de43846a5f9363

Interpretation

Hardware fit: 73/100. Overall suitability: EXCELLENT (Global 83/100). Category profile: Reasoning: Strong, Coding: Strong, Instruction Following: Strong, Structured Output: Strong, Math: Strong, Multilingual: Strong.

Bench Environment

Power: AC CPU load: avg 9% (peak 11%)

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