gemma4:12b-mlx

THINKING MODEL

MacBook Pro (Apple M2 Pro)

16 GB · macOS 26.5

Tested on July 4, 2026 · Submitted by enigmatracer

Top 15% Compare

Global Score

84 /100

Excellent

Hardware Fit

82/100

Quality

85/100

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Hardware

Machine: MacBook Pro
CPU: Apple M2 Pro
Cores: 10 total (6 perf + 4 eff)
Frequency: 2.4 GHz
RAM: 16 GB LPDDR5
GPU: Apple M2 Pro
OS: macOS 26.5
Arch: arm64
Power Mode: balanced

Performance

Tokens/sec Tokens generated per second — higher is better: 27.2
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±1.9
First chunk latency Delay before the first streamed chunk arrives from runtime: 732 ms
Time to first token How fast the model starts responding — lower is better: 8.1 s
Load time Time to load the model into memory before inference: 3.5 s
Memory usage RAM consumed during inference — percentage of total system memory: 7.1 GB (44%)
Total tokens Total number of tokens generated across all benchmark prompts: 1460
Thinking tokens (est.) Estimated internal reasoning tokens — models with "thinking" generate more tokens: ~722

Score breakdown

Speed

50/50

Time to first token

6/20

Memory

26/30

Quality

Reasoning

16/20

Coding

17/20

Instruction following

13/20

Structured output

15/15

Math

14/15

Multilingual

10/10

Category levels

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

Metadata

Spec version: 0.2.1
Runtime: Ollama 0.31.1
Model format: GGUF
Hardware profile: ENTRY
Result hash: c97401dc2c1e4a7fab1273f9a378f360029ecb752afcd8e9e856024615a86a00

Interpretation

Hardware fit: 82/100. Overall suitability: EXCELLENT (Global 84/100). Category profile: Reasoning: Strong, Coding: Strong, Instruction Following: Adequate, Structured Output: Strong, Math: Strong, Multilingual: Strong.

Warnings

Significant swap activity during benchmark (+1.8 GB). Model may exceed available RAM — results are severely degraded.

Bench Environment

Power: AC Swap delta: +1.8 GB CPU load: avg 16% (peak 21%)

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Or run without installing: npx metrillm@latest