gemma4:e2b-mlx

MacBook Pro (Apple M1 Pro)

16 GB · macOS 26.6.2

Tested on August 25, 2026 · Submitted by AAA

Top 33% Compare

Global Score

82 /100

Excellent

Hardware Fit

99/100

Quality

75/100

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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: 70.4
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±1.8
First chunk latency Delay before the first streamed chunk arrives from runtime: 96 ms
Time to first token How fast the model starts responding — lower is better: 96 ms
Load time Time to load the model into memory before inference: 2.5 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: 1086

Score breakdown

Speed

50/50

Time to first token

20/20

Memory

29/30

Quality

Reasoning

14/20

Coding

14/20

Instruction following

15/20

Structured output

15/15

Math

7/15

Multilingual

10/10

Category levels

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

Metadata

Spec version: 0.2.1
Runtime: Ollama 0.32.15
Model format: GGUF
Hardware profile: ENTRY
Result hash: 4fee01fc6882f13aee95eb45239eb4b91c28ff7e28effa2e876a9d5ead6d33c3

Interpretation

Hardware fit: 99/100. Overall suitability: EXCELLENT (Global 82/100). Category profile: Reasoning: Adequate, Coding: Adequate, Instruction Following: Strong, Structured Output: Strong, Math: Weak, Multilingual: Strong.

Bench Environment

Power: AC CPU load: avg 15% (peak 27%)

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