qwen3.5-0.8b-mlx
LM-STUDIO MLXqwen3_5 · 0.8B · 4bit
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
53 vs 58
Hardware Fit
89 vs 50
Quality Score
38 vs 62
Hardware
qwen3.5-0.8b-mlx 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
qwen3.5-0.8b-mlx gemma-2-2b-it
Tokens/sec52.93.6
First chunk4013 ms4509 ms
TTFT4.0 s4.5 s
Load timeN/AN/A
Memory usage0.6 GB1.6 GB
Memory %1%10%
HW Fit Score Breakdown
qwen3.5-0.8b-mlx
Speed
50/50
TTFT
9/20
Memory
30/30
gemma-2-2b-it
Speed
14/50
TTFT
12/20
Memory
24/30
Quality
qwen3.5-0.8b-mlx
Reasoning
7/20
Coding
2/20
Instruction
12/20
Structured
10/15
Math
2/15
Multilingual
5/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Adequate
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