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gemma4:e2b-mlx

OLLAMA GGUF
Not Rec.

Aug 26, 2026 · Apple M1 Pro

rnj-1:8b

OLLAMA GGUF

gemma3 · 8.3B · Q4_K_M

Excellent

Aug 24, 2026 · Apple M1 Pro

Global Score
88 vs 80
Hardware Fit
79 vs 93
Quality Score
92 vs 74

Hardware

gemma4:e2b-mlx rnj-1:8b
MachineMacBook ProMacBook Pro
CPUApple M1 ProApple M1 Pro
Cores1010
RAM16 GB16 GB
GPUApple M1 ProApple M1 Pro
OSmacOS 26.6.2macOS 26.6.2
Archarm64arm64
Power Modebalancedbalanced

Performance

gemma4:e2b-mlx rnj-1:8b
Tokens/sec72.822.3
First chunk134 ms404 ms
TTFT30.0 s404 ms
Load time2.6 s3.7 s
Memory usage5.7 GB8.3 GB
Memory %36%52%

HW Fit Score Breakdown

gemma4:e2b-mlx

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

rnj-1:8b

Speed
49/50
TTFT
20/20
Memory
24/30

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

rnj-1:8b

Reasoning
12/20
Coding
19/20
Instruction
15/20
Structured
5/15
Math
14/15
Multilingual
9/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Weak Math: Strong Multilingual: Strong
View gemma4:e2b-mlx details | View rnj-1:8b 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