dolphin-phi:2.7b

phi2 · 3B · Q4_0

MacBook Air (Apple M4)

32 GB · macOS 26.3

Tested on March 1, 2026

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Global Score

66 /100

Good

Hardware Fit

100/100

Quality

44/100

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ollama pull dolphin-phi:2.7b

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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: 56.1
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.4
Time to first token How fast the model starts responding — lower is better: 108 ms
Load time Time to load the model into memory before inference: 0.4 s
Memory usage RAM consumed during inference — percentage of total system memory: 2.2 GB (7%)
Total tokens Total number of tokens generated across all benchmark prompts: 1077

Score breakdown

Speed

40/40

Time to first token

30/30

Memory

30/30

Quality

Reasoning

10/20

Coding

6/20

Instruction following

12/20

Structured output

2/15

Math

9/15

Multilingual

5/10

Category levels

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

Metadata

Spec version: 0.2.0
Runtime: Ollama 0.17.4
Model format: GGUF
Hardware profile: BALANCED
Result hash: c2ba3675fc24ce8ea0acede62084c4b39d688a1210191d70d027e6d4246fee93

Interpretation

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

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