gemma4:e4b-mlx

THINKING MODEL

MacBook Pro (Apple M2 Pro)

16 GB · macOS 26.5

Tested on July 7, 2026 · Submitted by enigmatracer

Top 5% Compare

Global Score

90 /100

Excellent

Hardware Fit

78/100

Quality

95/100

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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: 46.1
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.4
First chunk latency Delay before the first streamed chunk arrives from runtime: 284 ms
Time to first token How fast the model starts responding — lower is better: 3.9 s
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: 10.8 GB (68%)
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: ~726

Score breakdown

Speed

50/50

Time to first token

12/20

Memory

16/30

Quality

Reasoning

19/20

Coding

19/20

Instruction following

17/20

Structured output

15/15

Math

15/15

Multilingual

10/10

Category levels

Reasoning: Strong Coding: Strong Instruction Following: Strong 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: 5b7f0919db72f02060bfa91faa49d92bbaf56940b7c5017e030cc11d198758ee

Interpretation

Hardware fit: 78/100. Overall suitability: EXCELLENT (Global 90/100). Category profile: Reasoning: Strong, Coding: Strong, Instruction Following: Strong, Structured Output: Strong, Math: Strong, Multilingual: Strong.

Bench Environment

Power: AC CPU load: avg 18% (peak 34%)

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