google/gemma-3-27b
LM-STUDIO MLXgemma3 · 27B · 4bit
Mar 19, 2026 · Apple M4
llama3.1:8b
OLLAMA GGUFllama · 8.0B · Q4_K_M
Jun 26, 2026 · Cortex-A78AE
Global Score
71 vs 46
Hardware Fit
35 vs 61
Quality Score
86 vs 40
Hardware
google/gemma-3-27b llama3.1:8b
MachineMac miniNVIDIA NVIDIA Jetson Orin Nano Engineering Reference Developer Kit Super
CPUApple M4Cortex-A78AE
Cores106
RAM24 GB7 GB
GPUApple M4Integrated / Unknown
OSmacOS 26.3Ubuntu 22.04.5 LTS
Archarm64arm64
Power Modebalancedbalanced
Performance
google/gemma-3-27b llama3.1:8b
Tokens/sec5.97.8
First chunk19 ms1625 ms
TTFT1.8 s1.6 s
Load timeN/A21.8 s
Memory usage22.0 GB5.2 GB
Memory %92%71%
HW Fit Score Breakdown
google/gemma-3-27b
Speed
12/50
TTFT
19/20
Memory
4/30
llama3.1:8b
Speed
26/50
TTFT
20/20
Memory
15/30
Quality
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
llama3.1:8b
Reasoning
12/20
Coding
10/20
Instruction
4/20
Structured
1/15
Math
4/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Poor Structured Output: Poor Math: Weak Multilingual: Strong
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest