gemma2:2b

gemma2 · 2.6B · Q4_0

MacBook Air (Apple M4)

32 GB · macOS 26.3

Tested on March 2, 2026

Top 6% Compare

Global Score

80 /100

Excellent

Hardware Fit

100/100

Quality

67/100

Get this model

🦙

Ollama

ollama pull gemma2:2b

View on Ollama Library

ollama.com/library/gemma2

🤗

Find on HuggingFace

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: 55.1
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: 152 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

30/30

Quality

Reasoning

11/20

Coding

13/20

Instruction following

14/20

Structured output

15/15

Math

4/15

Multilingual

10/10

Category levels

Reasoning: Adequate Coding: Adequate 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: aaef0892890f267b5a5ab88a24017d9d4c99a83cbd5e8d8e68c8da0cf783c638

Interpretation

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

Run yours now

npx metrillm@latest bench

Requires Node 20+ and Ollama running