gemma4:e4b-mlx

MacBook Pro (Apple M2 Pro)

16 GB · macOS 26.5

Tested on July 7, 2026 · Submitted by enigmatracer

Top 16% Compare

Global Score

85 /100

Excellent

Hardware Fit

95/100

Quality

81/100

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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: 47.3
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±1.2
First chunk latency Delay before the first streamed chunk arrives from runtime: 258 ms
Time to first token How fast the model starts responding — lower is better: 258 ms
Load time Time to load the model into memory before inference: 5.1 s
Memory usage RAM consumed during inference — percentage of total system memory: 7.9 GB (49%)
Total tokens Total number of tokens generated across all benchmark prompts: 1071

Score breakdown

Speed

50/50

Time to first token

20/20

Memory

25/30

Quality

Reasoning

15/20

Coding

18/20

Instruction following

15/20

Structured output

15/15

Math

8/15

Multilingual

10/10

Category levels

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

Metadata

Spec version: 0.2.1
Runtime: Ollama 0.31.1
Model format: GGUF
Hardware profile: ENTRY
Result hash: 6925a62cd5e097daf897ff4244a90e22a4b2c12f9a3ae68d990c8abda7359613

Interpretation

Hardware fit: 95/100. Overall suitability: EXCELLENT (Global 85/100). Category profile: Reasoning: Adequate, Coding: Strong, Instruction Following: Strong, Structured Output: Strong, Math: Adequate, Multilingual: Strong.

Warnings

Significant swap activity during benchmark (+1.0 GB). Model may exceed available RAM — results are severely degraded.

Bench Environment

Power: AC Swap delta: +1.0 GB CPU load: avg 39% (peak 47%)

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Or run without installing: npx metrillm@latest