gemma-4-e4b-it@q5_k_xl
LM-STUDIO GGUFgemma4 · Q5_K_XL
Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H
phi4-mini:latest
OLLAMA GGUFphi3 · 3.8B · Q4_K_M
Mar 2, 2026 · Apple M4
Global Score
77 vs 71
Hardware Fit
59 vs 100
Quality Score
84 vs 58
Hardware
gemma-4-e4b-it@q5_… phi4-mini:latest
MachineDocker ContainerMacBook Air
CPUIntel Gen Intel® Core™ i9-11900HApple M4
Cores1610
RAM15 GB32 GB
GPUTigerLake-H GT1 [UHD Graphics]Apple M4
OSUbuntu 26.04 LTSmacOS 26.3
Archx64arm64
Power Modeperformancebalanced
Performance
gemma-4-e4b-it@q5_… phi4-mini:latest
Tokens/sec9.336.2
First chunk51 msN/A
TTFT3.4 s190 ms
Load time12.2 s0.8 s
Memory usage0.0 GB8.3 GB
Memory %0%26%
HW Fit Score Breakdown
gemma-4-e4b-it@q5_k_xl
Speed
17/50
TTFT
12/20
Memory
30/30
phi4-mini:latest
Speed
40/50
TTFT
30/20
Memory
30/30
Quality
gemma-4-e4b-it@q5_k_xl
Reasoning
15/20
Coding
18/20
Instruction
17/20
Structured
15/15
Math
9/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
phi4-mini:latest
Reasoning
12/20
Coding
10/20
Instruction
10/20
Structured
11/15
Math
5/15
Multilingual
10/10
Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Adequate Math: Weak 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