gemma3:12b

gemma3 · 12.2B · Q4_K_M

MacBook Air (Apple M4)

32 GB · macOS 26.3

Tested on March 2, 2026

Top 6% Compare

Global Score

80 /100

Excellent

Hardware Fit

83/100

Quality

78/100

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Ollama

ollama pull gemma3:12b

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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
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: 560 ms
Load time Time to load the model into memory before inference: 2.8 s
Memory usage RAM consumed during inference — percentage of total system memory: 11.0 GB (34%)
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

19/20

Instruction following

13/20

Structured output

15/15

Math

7/15

Multilingual

10/10

Category levels

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

Metadata

Spec version: 0.2.0
Runtime: Ollama 0.17.4
Model format: GGUF
Hardware profile: BALANCED
Result hash: c9189f9977526bf4e3700da1bf57d581d7a2ad6c7ebb45cbc206ceec209ef429

Interpretation

Hardware fit: 83/100. Overall suitability: EXCELLENT (Global 80/100). Category profile: Reasoning: Adequate, Coding: Strong, Instruction Following: Adequate, Structured Output: Strong, Math: Weak, Multilingual: Strong.

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