gemma2:2b

gemma2 · 2.6B · Q4_0

MacBook Air (Apple M4)

32 GB · macOS 26.3

Tested on March 1, 2026

Top 31% Compare

Global Score

72 /100

Good

Hardware Fit

99/100

Quality

54/100

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Ollama

ollama pull gemma2:2b

View on Ollama Library

ollama.com/library/gemma2

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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: 53.8
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.6
Time to first token How fast the model starts responding — lower is better: 170 ms
Load time Time to load the model into memory before inference: 0.6 s
Memory usage RAM consumed during inference — percentage of total system memory: 2.8 GB (9%)
Total tokens Total number of tokens generated across all benchmark prompts: 1008

Score breakdown

Speed

40/40

Time to first token

30/30

Memory

29/30

Quality

Reasoning

11/20

Coding

0/20

Instruction following

14/20

Structured output

15/15

Math

4/15

Multilingual

10/10

Category levels

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

Metadata

Spec version: 0.2.0
Runtime: Ollama 0.17.4
Model format: GGUF
Hardware profile: BALANCED
Result hash: 009838b64960551dcc11e08ca5dd24a2f0717a8f54bef777e67b31287c16a7f8

Interpretation

Hardware fit: 99/100. Overall suitability: GOOD (Global 72/100). Category profile: Reasoning: Adequate, Coding: Poor, Instruction Following: Adequate, Structured Output: Strong, Math: Poor, Multilingual: Strong.

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