gemma-4-e2b-it@q5_k_xl
LM-STUDIO GGUFgemma4 · Q5_K_XL
Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H
qwen3.5-27b
LM-STUDIO GGUFqwen35 · 27B · Q4_K_M
Mar 6, 2026 · Apple M4 Pro
Global Score
79 vs 26
Hardware Fit
81 vs 63
Quality Score
78 vs 10
Hardware
gemma-4-e2b-it@q5_… qwen3.5-27b
MachineDocker ContainerMac mini
CPUIntel Gen Intel® Core™ i9-11900HApple M4 Pro
Cores1614
RAM15 GB64 GB
GPUTigerLake-H GT1 [UHD Graphics]Apple M4 Pro
OSUbuntu 26.04 LTSmacOS 15.7.4
Archx64arm64
Power Modeperformancebalanced
Performance
gemma-4-e2b-it@q5_… qwen3.5-27b
Tokens/sec17.29.5
First chunk7 ms1099 ms
TTFT1.6 s1.1 s
Load time8.9 sN/A
Memory usage0.0 GB16.3 GB
Memory %0%25%
HW Fit Score Breakdown
gemma-4-e2b-it@q5_k_xl
Speed
32/50
TTFT
19/20
Memory
30/30
qwen3.5-27b
Speed
13/50
TTFT
20/20
Memory
30/30
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
qwen3.5-27b
Reasoning
0/20
Coding
0/20
Instruction
2/20
Structured
0/15
Math
1/15
Multilingual
7/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor 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