qwen3.5:9b-mlx
OLLAMA GGUFnvfp4
Aug 26, 2026 · Apple M1 Pro
gemma-4-e2b-it-qat
LM-STUDIO GGUFgemma4 · Q4_K_XL
Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H
Global Score
54 vs 81
Hardware Fit
81 vs 90
Quality Score
43 vs 77
Hardware
qwen3.5:9b-mlx gemma-4-e2b-it-qat
MachineMacBook ProDocker Container
CPUApple M1 ProIntel Gen Intel® Core™ i9-11900H
Cores1016
RAM16 GB15 GB
GPUApple M1 ProTigerLake-H GT1 [UHD Graphics]
OSmacOS 26.6.2Ubuntu 26.04 LTS
Archarm64x64
Power Modebalancedperformance
Performance
qwen3.5:9b-mlx gemma-4-e2b-it-qat
Tokens/sec25.222.2
First chunk341 ms67 ms
TTFT6.3 s1.1 s
Load time3.4 s5.4 s
Memory usage8.4 GB0.0 GB
Memory %52%0%
HW Fit Score Breakdown
qwen3.5:9b-mlx
Speed
50/50
TTFT
7/20
Memory
24/30
gemma-4-e2b-it-qat
Speed
40/50
TTFT
20/20
Memory
30/30
Quality
qwen3.5:9b-mlx
Reasoning
14/20
Coding
2/20
Instruction
4/20
Structured
4/15
Math
10/15
Multilingual
9/10
Reasoning: Adequate Coding: Poor Instruction Following: Poor Structured Output: Weak Math: Adequate Multilingual: Strong
gemma-4-e2b-it-qat
Reasoning
10/20
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