gemma-2-2b-it
LM-STUDIO GGUFgemma2 · 2B · Q4_K_M
Mar 6, 2026 · Intel Core™ i5-5300U
qwen3.5-4b-mlx
LM-STUDIO MLXqwen3_5 · 4B · 4bit
Mar 6, 2026 · Apple M4 Pro
Global Score
58 vs 62
Hardware Fit
50 vs 35
Quality Score
62 vs 73
Hardware
gemma-2-2b-it qwen3.5-4b-mlx
MachineLENOVO 20BUS00700Mac mini
CPUIntel Core™ i5-5300UApple M4 Pro
Cores414
RAM16 GB64 GB
GPUIntel(R) HD Graphics 5500Apple M4 Pro
OSMicrosoft Windows 10 Professionnel 10.0.19045macOS 15.7.4
Archx64arm64
Power Modebalancedbalanced
Performance
gemma-2-2b-it qwen3.5-4b-mlx
Tokens/sec3.60.0
First chunk4509 ms5548 ms
TTFT4.5 s5.5 s
Load timeN/AN/A
Memory usage1.6 GB2.9 GB
Memory %10%5%
HW Fit Score Breakdown
gemma-2-2b-it
Speed
14/50
TTFT
12/20
Memory
24/30
qwen3.5-4b-mlx
Speed
0/50
TTFT
6/20
Memory
29/30
Quality
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
qwen3.5-4b-mlx
Reasoning
17/20
Coding
17/20
Instruction
9/20
Structured
8/15
Math
13/15
Multilingual
9/10
Reasoning: Strong Coding: Strong Instruction Following: Weak Structured Output: Adequate Math: Strong 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