Back to leaderboard

google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

llama3.2:1b

OLLAMA GGUF

llama · 1.2B · Q8_0

Good

Mar 5, 2026 · AMD Ryzen 9 8945HS

Global Score
62 vs 62
Hardware Fit
77 vs 91
Quality Score
55 vs 50

Hardware

google/gemma-4-e4b llama3.2:1b
MachineLENOVO 82JQASUSTeK COMPUTER INC. ROG Zephyrus G14 GA403UV_GA403UV
CPUAMD Ryzen 7 5800HAMD Ryzen 9 8945HS
Cores1616
RAM16 GB15 GB
GPUNVIDIA GeForce RTX 3060 Laptop GPUNVIDIA GeForce RTX 4060 Laptop GPU, AMD Radeon 780M Graphics
OSMicrosoft Windows 11 家庭版 中文版 10.0.26100Microsoft Windows 11 Home 10.0.26200
Archx64x64
Power Modebalancedbalanced

Performance

google/gemma-4-e4b llama3.2:1b
Tokens/sec27.6170.2
First chunk23 ms142 ms
TTFT480 ms142 ms
Load timeN/A3.2 s
Memory usage13.2 GB1.6 GB
Memory %83%11%

HW Fit Score Breakdown

google/gemma-4-e4b

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

llama3.2:1b

Speed
50/50
TTFT
20/20
Memory
21/30

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

llama3.2:1b

Reasoning
4/20
Coding
13/20
Instruction
14/20
Structured
13/15
Math
0/15
Multilingual
6/10
Reasoning: Poor Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate
View google/gemma-4-e4b details | View llama3.2:1b 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