google/gemma-4-e4b
LM-STUDIO GGUFgemma4 · Q4_K_M
Jul 7, 2026 · AMD Ryzen 7 5800H
phi4-mini:latest
OLLAMA GGUFphi3 · 3.8B · Q4_K_M
Jun 26, 2026 · Cortex-A78AE
Global Score
62 vs 74
Hardware Fit
77 vs 98
Quality Score
55 vs 63
Hardware
google/gemma-4-e4b phi4-mini:latest
MachineLENOVO 82JQNVIDIA NVIDIA Jetson Orin Nano Engineering Reference Developer Kit Super
CPUAMD Ryzen 7 5800HCortex-A78AE
Cores166
RAM16 GB7 GB
GPUNVIDIA GeForce RTX 3060 Laptop GPUIntegrated / Unknown
OSMicrosoft Windows 11 家庭版 中文版 10.0.26100Ubuntu 22.04.5 LTS
Archx64arm64
Power Modebalancedbalanced
Performance
google/gemma-4-e4b phi4-mini:latest
Tokens/sec27.618.4
First chunk23 ms1078 ms
TTFT480 ms1.1 s
Load timeN/A6.4 s
Memory usage13.2 GB2.9 GB
Memory %83%39%
HW Fit Score Breakdown
google/gemma-4-e4b
Speed
48/50
TTFT
20/20
Memory
9/30
phi4-mini:latest
Speed
50/50
TTFT
20/20
Memory
28/30
Quality
google/gemma-4-e4b
Reasoning
18/20
Coding
17/20
Instruction
5/20
Structured
3/15
Math
11/15
Multilingual
1/10
Reasoning: Strong Coding: Strong Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Poor
phi4-mini:latest
Reasoning
13/20
Coding
11/20
Instruction
14/20
Structured
11/15
Math
5/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate 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