phi3:14b

phi3 · 14.0B · Q4_0

MacBook Air (Apple M4)

32 GB · macOS 26.3

Tested on March 2, 2026

Top 56% Compare

Global Score

66 /100

Good

Hardware Fit

83/100

Quality

55/100

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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: 12.7
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.1
Time to first token How fast the model starts responding — lower is better: 434 ms
Load time Time to load the model into memory before inference: 0.9 s
Memory usage RAM consumed during inference — percentage of total system memory: 17.7 GB (55%)
Total tokens Total number of tokens generated across all benchmark prompts: 1009

Score breakdown

Speed

23/40

Time to first token

30/30

Memory

30/30

Quality

Reasoning

14/20

Coding

2/20

Instruction following

14/20

Structured output

7/15

Math

8/15

Multilingual

10/10

Category levels

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

Metadata

Spec version: 0.2.0
Runtime: Ollama 0.17.4
Model format: GGUF
Hardware profile: BALANCED
Result hash: f8878c1b5dc104a90665f2181d8fc9c4455a0a7dcfd6dae8ce559df9df556227

Interpretation

Hardware fit: 83/100. Overall suitability: GOOD (Global 66/100). Category profile: Reasoning: Adequate, Coding: Poor, Instruction Following: Adequate, Structured Output: Weak, Math: Adequate, Multilingual: Strong.

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