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hf.co/bartowski/ai9stars_G9v3-3B-GGUF:BF16

OLLAMA GGUF

llama · 2.99B · BF16

Good

Aug 26, 2026 · Apple M1 Pro

google/gemma-3-27b

LM-STUDIO MLX

gemma3 · 27B · 4bit

Not Rec.

Mar 19, 2026 · Apple M4

Global Score
64 vs 71
Hardware Fit
92 vs 35
Quality Score
52 vs 86

Hardware

hf.co/bartowski/ai… 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

hf.co/bartowski/ai… google/gemma-3-27b
Tokens/sec29.95.9
First chunk108 ms19 ms
TTFT108 ms1.8 s
Load time3.4 sN/A
Memory usage8.9 GB22.0 GB
Memory %56%92%

HW Fit Score Breakdown

hf.co/bartowski/ai9star…

Speed
50/50
TTFT
20/20
Memory
22/30

google/gemma-3-27b

Speed
12/50
TTFT
19/20
Memory
4/30

Quality

hf.co/bartowski/ai9star…

Reasoning
17/20
Coding
14/20
Instruction
6/20
Structured
0/15
Math
14/15
Multilingual
1/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Poor

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 hf.co/bartowski/ai… 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