gemma4:e4b-mlx

THINKING MODEL

MacBook Pro (Apple M1 Pro)

16 GB · macOS 26.6.2

Tested on August 24, 2026 · Submitted by AAA

Top 6% Compare

Global Score

90 /100

Excellent

Hardware Fit

86/100

Quality

92/100

Get this model

Get it in LM Studio

Search and download models directly from the app

🤗

Find on HuggingFace

MLX versions & conversions

Hardware

Machine: MacBook Pro
CPU: Apple M1 Pro
Cores: 10 total (8 perf + 2 eff)
Frequency: 2.4 GHz
RAM: 16 GB LPDDR5
GPU: Apple M1 Pro
OS: macOS 26.6.2
Arch: arm64
Power Mode: balanced

Performance

Tokens/sec Tokens generated per second — higher is better: 41.8
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±1.7
First chunk latency Delay before the first streamed chunk arrives from runtime: 359 ms
Time to first token How fast the model starts responding — lower is better: 4.2 s
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: 1452
Thinking tokens (est.) Estimated internal reasoning tokens — models with "thinking" generate more tokens: ~683

Score breakdown

Speed

50/50

Time to first token

11/20

Memory

25/30

Quality

Reasoning

19/20

Coding

19/20

Instruction following

14/20

Structured output

15/15

Math

15/15

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 0.32.15
Model format: GGUF
Hardware profile: ENTRY
Result hash: 9e3eee835e0d55ee1b4967aeff3fe8187fc731f76225cd02e0aff9e28b233ce0

Interpretation

Hardware fit: 86/100. Overall suitability: EXCELLENT (Global 90/100). Category profile: Reasoning: Strong, Coding: Strong, Instruction Following: Adequate, Structured Output: Strong, Math: Strong, Multilingual: Strong.

Bench Environment

Power: AC Swap delta: +0.1 GB CPU load: avg 27% (peak 42%)

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