gemma-4-e2b-it@q5_k_xl
LM-STUDIO GGUFgemma4 · Q5_K_XL
Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H
qwen3.5-9b-mlx
LM-STUDIO MLXqwen3_5 · 9B · 4bit
Mar 11, 2026 · Apple M4
Global Score
79 vs 58
Hardware Fit
81 vs 68
Quality Score
78 vs 54
Hardware
gemma-4-e2b-it@q5_… qwen3.5-9b-mlx
MachineDocker ContainerMac mini
CPUIntel Gen Intel® Core™ i9-11900HApple M4
Cores1610
RAM15 GB24 GB
GPUTigerLake-H GT1 [UHD Graphics]Apple M4
OSUbuntu 26.04 LTSmacOS 26.3
Archx64arm64
Power Modeperformancebalanced
Performance
gemma-4-e2b-it@q5_… qwen3.5-9b-mlx
Tokens/sec17.216.7
First chunk7 ms23 ms
TTFT1.6 s14.1 s
Load time8.9 sN/A
Memory usage0.0 GB7.8 GB
Memory %0%33%
HW Fit Score Breakdown
gemma-4-e2b-it@q5_k_xl
Speed
32/50
TTFT
19/20
Memory
30/30
qwen3.5-9b-mlx
Speed
36/50
TTFT
3/20
Memory
29/30
Quality
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
qwen3.5-9b-mlx
Reasoning
10/20
Coding
16/20
Instruction
4/20
Structured
9/15
Math
10/15
Multilingual
5/10
Reasoning: Adequate Coding: Strong Instruction Following: Poor Structured Output: Adequate Math: Adequate Multilingual: Adequate
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