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gemma4:e2b-mlx

OLLAMA GGUF
Not Rec.

Aug 26, 2026 · Apple M1 Pro

llama3:latest

OLLAMA GGUF

llama · 8.0B · Q4_0

Good

Mar 2, 2026 · Apple M4

Global Score
88 vs 71
Hardware Fit
79 vs 95
Quality Score
92 vs 60

Hardware

gemma4:e2b-mlx llama3:latest
MachineMacBook ProMacBook Air
CPUApple M1 ProApple M4
Cores1010
RAM16 GB32 GB
GPUApple M1 ProApple M4
OSmacOS 26.6.2macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

gemma4:e2b-mlx llama3:latest
Tokens/sec72.822.3
First chunk134 msN/A
TTFT30.0 s295 ms
Load time2.6 s0.8 s
Memory usage5.7 GB5.6 GB
Memory %36%18%

HW Fit Score Breakdown

gemma4:e2b-mlx

Speed
50/50
TTFT
0/20
Memory
29/30

llama3:latest

Speed
35/50
TTFT
30/20
Memory
30/30

Quality

gemma4:e2b-mlx

Reasoning
19/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

llama3:latest

Reasoning
9/20
Coding
9/20
Instruction
15/20
Structured
13/15
Math
4/15
Multilingual
10/10
Reasoning: Weak Coding: Weak Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong
View gemma4:e2b-mlx details | View llama3:latest details

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest