google/gemma-4-e4b
LM-STUDIO GGUFvlm · 7.9B · Q4_K_M
Oct 1, 2026 · AMD Ryzen 7 4800H
phi4-mini:latest
OLLAMA GGUFphi3 · 3.8B · Q4_K_M
Jun 26, 2026 · Cortex-A78AE
Global Score
59 vs 74
Hardware Fit
62 vs 98
Quality Score
58 vs 63
Hardware
google/gemma-4-e4b phi4-mini:latest
MachineASUSTeK COMPUTER INC. ROG Strix G513IM_G513IMNVIDIA NVIDIA Jetson Orin Nano Engineering Reference Developer Kit Super
CPUAMD Ryzen 7 4800HCortex-A78AE
Cores166
RAM15 GB7 GB
GPUAMD Radeon(TM) Graphics, NVIDIA GeForce RTX 3060 Laptop GPUIntegrated / Unknown
OSMicrosoft Windows 11 Pro 10.0.26200Ubuntu 22.04.5 LTS
Archx64arm64
Power Modebalancedbalanced
Performance
google/gemma-4-e4b phi4-mini:latest
Tokens/sec7.118.4
First chunk41 ms1078 ms
TTFT1.2 s1.1 s
Load time71.7 s6.4 s
Memory usage0.9 GB2.9 GB
Memory %6%39%
HW Fit Score Breakdown
google/gemma-4-e4b
Speed
12/50
TTFT
20/20
Memory
30/30
phi4-mini:latest
Speed
50/50
TTFT
20/20
Memory
28/30
Quality
google/gemma-4-e4b
Reasoning
6/20
Coding
14/20
Instruction
12/20
Structured
15/15
Math
3/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong
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