qwen2.5:14b

qwen2 · 14.8B · Q4_K_M

MacBook Air (Apple M4)

32 GB · macOS 26.3

Tested on March 1, 2026

Top 3% Compare

Global Score

82 /100

Excellent

Hardware Fit

80/100

Quality

84/100

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Ollama

ollama pull qwen2.5:14b

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ollama.com/library/qwen2.5

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GGUF versions & quantizations

Hardware

Machine: MacBook Air
CPU: Apple M4
Cores: 10 total (4 perf + 6 eff)
Frequency: 2.4 GHz
RAM: 32 GB LPDDR5
GPU: Apple M4
OS: macOS 26.3
Arch: arm64
Power Mode: balanced

Performance

Tokens/sec Tokens generated per second — higher is better: 11.2
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.2
Time to first token How fast the model starts responding — lower is better: 539 ms
Load time Time to load the model into memory before inference: 1.0 s
Memory usage RAM consumed during inference — percentage of total system memory: 16.5 GB (52%)
Total tokens Total number of tokens generated across all benchmark prompts: 1195

Score breakdown

Speed

20/40

Time to first token

30/30

Memory

30/30

Quality

Reasoning

17/20

Coding

18/20

Instruction following

14/20

Structured output

15/15

Math

10/15

Multilingual

10/10

Category levels

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

Metadata

Spec version: 0.2.0
Runtime: Ollama 0.17.4
Model format: GGUF
Hardware profile: BALANCED
Result hash: a3996831fbdd39eef11162e3ae4ab3ae45952d0a9ef34951be7ca978b0ea58a0

Interpretation

Hardware fit: 80/100. Overall suitability: EXCELLENT (Global 82/100). Category profile: Reasoning: Strong, Coding: Strong, Instruction Following: Adequate, Structured Output: Strong, Math: Adequate, Multilingual: Strong.

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