google/gemma-3-27b
LM-STUDIO MLXgemma3 · 27B · 4bit
Mar 19, 2026 · Apple M4
qwen2.5:14b
OLLAMA GGUFqwen2 · 14.8B · Q4_K_M
Sep 15, 2026 · Intel Core™ i5-14400F
Global Score
71 vs 90
Hardware Fit
35 vs 100
Quality Score
86 vs 85
Hardware
google/gemma-3-27b qwen2.5:14b
MachineMac miniGigabyte Technology Co., Ltd. B760 AORUS ELITE AX DDR4
CPUApple M4Intel Core™ i5-14400F
Cores1016
RAM24 GB32 GB
GPUApple M4NVIDIA GeForce RTX 5060 Ti
OSmacOS 26.3Microsoft Windows 11 Professionnel 10.0.26200
Archarm64x64
Power Modebalancedbalanced
Performance
google/gemma-3-27b qwen2.5:14b
Tokens/sec5.937.8
First chunk19 ms74 ms
TTFT1.8 s74 ms
Load timeN/A6.2 s
Memory usage22.0 GB8.8 GB
Memory %92%28%
HW Fit Score Breakdown
google/gemma-3-27b
Speed
12/50
TTFT
19/20
Memory
4/30
qwen2.5:14b
Speed
50/50
TTFT
20/20
Memory
30/30
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
qwen2.5:14b
Reasoning
17/20
Coding
18/20
Instruction
14/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate 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