gemma4:e4b-mlx

MacBook Pro (Apple M2 Pro)

16 GB · macOS 26.5

Tested on July 7, 2026 · Submitted by enigmatracer

Top 38% Compare

Global Score

78 /100

Not Rec.

Hardware Fit

72/100

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: 26.9
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±3.6
First chunk latency Delay before the first streamed chunk arrives from runtime: 222 ms
Time to first token How fast the model starts responding — lower is better: 222 ms
Load time Time to load the model into memory before inference: 0.1 s
Memory usage RAM consumed during inference — percentage of total system memory: 15.4 GB (96%)
Total tokens Total number of tokens generated across all benchmark prompts: 1076

Score breakdown

Speed

50/50

Time to first token

20/20

Memory

2/30

Quality

Reasoning

14/20

Coding

19/20

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: d8bfdbe3e4033a0d4afbc3d5839e0d7343aef110e00a3b4637c67b45143fe2d5

Interpretation

Hardware fit: 72/100. Overall suitability: NOT RECOMMENDED (Global 78/100). Category profile: Reasoning: Adequate, Coding: Strong, Instruction Following: Strong, Structured Output: Strong, Math: Adequate, Multilingual: Strong.

Warnings

Running on battery power — performance may be reduced.

Disqualifiers

Memory usage critical: model delta +96%

Bench Environment

Power: Battery CPU load: avg 16% (peak 18%)

Run yours now

$ npm install -g metrillm@latest

$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest