gemma-4-e2b-it-qat
LM-STUDIO GGUFgemma4 · Q4_K_XL
Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H
gemma3:270m
OLLAMA GGUFgemma3 · 268.10M · Q8_0
Mar 5, 2026 · Apple M3 Pro
Global Score
81 vs 50
Hardware Fit
90 vs 97
Quality Score
77 vs 30
Hardware
gemma-4-e2b-it-qat gemma3:270m
MachineDocker ContainerMacBook Pro
CPUIntel Gen Intel® Core™ i9-11900HApple M3 Pro
Cores1612
RAM15 GB36 GB
GPUTigerLake-H GT1 [UHD Graphics]Apple M3 Pro
OSUbuntu 26.04 LTSmacOS 15.7.5
Archx64arm64
Power Modeperformancebalanced
Performance
gemma-4-e2b-it-qat gemma3:270m
Tokens/sec22.2239.2
First chunk67 ms127 ms
TTFT1.1 s127 ms
Load time5.4 s0.7 s
Memory usage0.0 GB0.6 GB
Memory %0%2%
HW Fit Score Breakdown
gemma-4-e2b-it-qat
Speed
40/50
TTFT
20/20
Memory
30/30
gemma3:270m
Speed
50/50
TTFT
20/20
Memory
27/30
Quality
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
gemma3:270m
Reasoning
4/20
Coding
2/20
Instruction
10/20
Structured
8/15
Math
1/15
Multilingual
5/10
Reasoning: Poor Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Weak
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