gemma3:1b

gemma3 · 999.89M · Q4_K_M

MacBook Air (Apple M4)

32 GB · macOS 26.3

Tested on March 1, 2026

Top 60% Compare

Global Score

65 /100

Good

Hardware Fit

100/100

Quality

42/100

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Ollama

ollama pull gemma3:1b

View on Ollama Library

ollama.com/library/gemma3

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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

Performance

Tokens/sec Tokens generated per second — higher is better: 67.5
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±17.1
Time to first token How fast the model starts responding — lower is better: 666 ms
Load time Time to load the model into memory before inference: 7.8 s
Memory usage RAM consumed during inference — percentage of total system memory: 1.3 GB (4%)
Total tokens Total number of tokens generated across all benchmark prompts: 990

Score breakdown

Speed

40/40

Time to first token

30/30

Memory

30/30

Quality

Reasoning

6/20

Coding

0/20

Instruction following

15/20

Structured output

12/15

Math

1/15

Multilingual

8/10

Category levels

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

Metadata

Spec version: 0.1.0
Runtime: Ollama 0.17.4
Model format: GGUF
Hardware profile: BALANCED
Result hash: 03c2a4b07cacffbc0b011089e4648e57fb06c10f080719c43bfe63a4c0bee8a7

Interpretation

Hardware fit: 100/100. Overall suitability: GOOD (Global 65/100). Category profile: Reasoning: Weak, Coding: Poor, Instruction Following: Strong, Structured Output: Strong, Math: Poor, Multilingual: Strong.

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npx metrillm@latest bench

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