gemma4:e2b-mlx

THINKING MODEL

MacBook Pro (Apple M1 Pro)

16 GB · macOS 26.6.2

Tested on August 26, 2026 · Submitted by AAA

Top 13% Compare

Global Score

88 /100

Not Rec.

Hardware Fit

79/100

Quality

92/100

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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: 72.8
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±2.0
First chunk latency Delay before the first streamed chunk arrives from runtime: 134 ms
Time to first token How fast the model starts responding — lower is better: 30.0 s
Load time Time to load the model into memory before inference: 2.6 s
Memory usage RAM consumed during inference — percentage of total system memory: 5.7 GB (36%)
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: ~763

Score breakdown

Speed

50/50

Time to first token

0/20

Memory

29/30

Quality

Reasoning

19/20

Coding

18/20

Instruction following

15/20

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 0.32.15
Model format: GGUF
Hardware profile: ENTRY
Result hash: becfd95fbee8f46eeb30c732a1b8feca5e1197f895ebcc50b220ee9357074041

Interpretation

Hardware fit: 79/100. Overall suitability: NOT RECOMMENDED (Global 88/100). Category profile: Reasoning: Strong, Coding: Strong, Instruction Following: Strong, Structured Output: Strong, Math: Strong, Multilingual: Strong.

Disqualifiers

Time to first token too high: 30000ms (maximum: 22068ms for ENTRY profile)

Bench Environment

Power: AC CPU load: avg 15% (peak 33%)

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