Back to leaderboard

google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

phi4:14b

OLLAMA GGUF

phi3 · 14.7B · Q4_K_M

Good

Jun 26, 2026 · Cortex-X925

Global Score
62 vs 77
Hardware Fit
77 vs 74
Quality Score
55 vs 78

Hardware

google/gemma-4-e4b phi4:14b
MachineLENOVO 82JQNVIDIA NVIDIA_DGX_Spark
CPUAMD Ryzen 7 5800HCortex-X925
Cores1620
RAM16 GB122 GB
GPUNVIDIA GeForce RTX 3060 Laptop GPUDevice 2e12
OSMicrosoft Windows 11 家庭版 中文版 10.0.26100Ubuntu 24.04.4 LTS
Archx64arm64
Power Modebalancedperformance

Performance

google/gemma-4-e4b phi4:14b
Tokens/sec27.622.9
First chunk23 ms198 ms
TTFT480 ms198 ms
Load timeN/A10.3 s
Memory usage13.2 GB14.7 GB
Memory %83%12%

HW Fit Score Breakdown

google/gemma-4-e4b

Speed
48/50
TTFT
20/20
Memory
9/30

phi4:14b

Speed
24/50
TTFT
20/20
Memory
30/30

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

phi4:14b

Reasoning
18/20
Coding
18/20
Instruction
12/20
Structured
13/15
Math
7/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
View google/gemma-4-e4b details | View phi4:14b details

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest