mlx-community/Llama-3.2-1B-Instruct-4bit
LM-STUDIO GGUFMar 5, 2026 · Apple M4
gemma-4-e2b-it@q5_k_xl
LM-STUDIO GGUFgemma4 · Q5_K_XL
Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H
Global Score
57 vs 79
Hardware Fit
100 vs 81
Quality Score
39 vs 78
Hardware
mlx-community/Llam… gemma-4-e2b-it@q5_…
MachineMacBook AirDocker Container
CPUApple M4Intel Gen Intel® Core™ i9-11900H
Cores1016
RAM32 GB15 GB
GPUApple M4TigerLake-H GT1 [UHD Graphics]
OSmacOS 26.3Ubuntu 26.04 LTS
Archarm64x64
Power Modebalancedperformance
Performance
mlx-community/Llam… gemma-4-e2b-it@q5_…
Tokens/sec126.417.2
First chunk139 ms7 ms
TTFT139 ms1.6 s
Load timeN/A8.9 s
Memory usage0.3 GB0.0 GB
Memory %1%0%
HW Fit Score Breakdown
mlx-community/Llama-3.2…
Speed
50/50
TTFT
20/20
Memory
30/30
gemma-4-e2b-it@q5_k_xl
Speed
32/50
TTFT
19/20
Memory
30/30
Quality
mlx-community/Llama-3.2…
Reasoning
5/20
Coding
3/20
Instruction
15/20
Structured
10/15
Math
1/15
Multilingual
5/10
Reasoning: Weak Coding: Poor Instruction Following: Strong Structured Output: Adequate Math: Poor Multilingual: Adequate
gemma-4-e2b-it@q5_k_xl
Reasoning
11/20
Coding
17/20
Instruction
17/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong 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