phi3:3.8b
OLLAMA GGUFphi3 · 3.8B · Q4_0
Mar 2, 2026 · Apple M4
google/gemma-4-e4b-it-qat
LM-STUDIO GGUFgemma4 · Q4_0
Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H
Global Score
64 vs 78
Hardware Fit
100 vs 68
Quality Score
48 vs 82
Hardware
phi3:3.8b google/gemma-4-e4b…
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
phi3:3.8b google/gemma-4-e4b…
Tokens/sec42.011.4
First chunkN/A26 ms
TTFT142 ms2.2 s
Load time1.1 s5.9 s
Memory usage16.0 GB0.0 GB
Memory %50%0%
HW Fit Score Breakdown
phi3:3.8b
Speed
40/50
TTFT
30/20
Memory
30/30
google/gemma-4-e4b-it-qat
Speed
21/50
TTFT
17/20
Memory
30/30
Quality
phi3:3.8b
Reasoning
12/20
Coding
3/20
Instruction
11/20
Structured
10/15
Math
5/15
Multilingual
7/10
Reasoning: Adequate Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Weak Multilingual: Adequate
google/gemma-4-e4b-it-qat
Reasoning
14/20
Coding
18/20
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