rnj-1:8b

OLLAMA GGUF

gemma3 · 8.3B · Q4_K_M

Excellent

Aug 24, 2026 · Apple M1 Pro

google/gemma-3-27b

LM-STUDIO MLX

gemma3 · 27B · 4bit

Not Rec.

Mar 19, 2026 · Apple M4

Global Score

80 vs 71

Hardware Fit

93 vs 35

Quality Score

74 vs 86

Hardware

rnj-1:8b google/gemma-3-27b

MachineMacBook ProMac mini

CPUApple M1 ProApple M4

Cores1010

RAM16 GB24 GB

GPUApple M1 ProApple M4

OSmacOS 26.6.2macOS 26.3

Archarm64arm64

Power Modebalancedbalanced

Performance

rnj-1:8b google/gemma-3-27b

Tokens/sec22.35.9

First chunk404 ms19 ms

TTFT404 ms1.8 s

Load time3.7 sN/A

Memory usage8.3 GB22.0 GB

Memory %52%92%

HW Fit Score Breakdown

rnj-1:8b

Speed

49/50

TTFT

20/20

Memory

24/30

google/gemma-3-27b

Speed

12/50

TTFT

19/20

Memory

4/30

Quality

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

google/gemma-3-27b

Reasoning

16/20

Coding

18/20

Instruction

16/20

Structured

15/15

Math

11/15

Multilingual

10/10

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

View rnj-1:8b details | View google/gemma-3-27b 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