qwen3.5-9b
LM-STUDIO GGUFqwen35 · 9B · Q4_K_M
Mar 6, 2026 · Apple M4 Pro
gemma-2-2b-it
LM-STUDIO GGUFgemma2 · 2B · Q4_K_M
Mar 6, 2026 · Intel Core™ i5-5300U
Global Score
72 vs 58
Hardware Fit
89 vs 50
Quality Score
65 vs 62
Hardware
qwen3.5-9b gemma-2-2b-it
MachineMac miniLENOVO 20BUS00700
CPUApple M4 ProIntel Core™ i5-5300U
Cores144
RAM64 GB16 GB
GPUApple M4 ProIntel(R) HD Graphics 5500
OSmacOS 15.7.4Microsoft Windows 10 Professionnel 10.0.19045
Archarm64x64
Power Modebalancedbalanced
Performance
qwen3.5-9b gemma-2-2b-it
Tokens/sec28.93.6
First chunk338 ms4509 ms
TTFT338 ms4.5 s
Load timeN/AN/A
Memory usage6.1 GB1.6 GB
Memory %10%10%
HW Fit Score Breakdown
qwen3.5-9b
Speed
39/50
TTFT
20/20
Memory
30/30
gemma-2-2b-it
Speed
14/50
TTFT
12/20
Memory
24/30
Quality
qwen3.5-9b
Reasoning
17/20
Coding
15/20
Instruction
6/20
Structured
7/15
Math
12/15
Multilingual
8/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Weak Math: Strong Multilingual: Strong
gemma-2-2b-it
Reasoning
11/20
Coding
8/20
Instruction
14/20
Structured
15/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Poor 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