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google/gemma-4-e4b

LM-STUDIO GGUF

vlm · 7.9B · Q4_K_M

Marginal

Oct 1, 2026 · AMD Ryzen 7 4800H

gemma3n:latest

OLLAMA GGUF

gemma3n · 6.9B · Q4_K_M

Excellent

Mar 6, 2026 · AMD EPYC 9654P 96-Core Processor

Global Score
59 vs 81
Hardware Fit
62 vs 100
Quality Score
58 vs 73

Hardware

google/gemma-4-e4b gemma3n:latest
MachineASUSTeK COMPUTER INC. ROG Strix G513IM_G513IMSupermicro AS -2015HS-TNR
CPUAMD Ryzen 7 4800HAMD EPYC 9654P 96-Core Processor
Cores1664
RAM15 GB128 GB
GPUAMD Radeon(TM) Graphics, NVIDIA GeForce RTX 3060 Laptop GPUGH100 [H100L 94GB], ASPEED Graphics Family, GH100 [H100L 94GB]
OSMicrosoft Windows 11 Pro 10.0.26200Ubuntu 24.04.3 LTS
Archx64x64
Power Modebalancedperformance

Performance

google/gemma-4-e4b gemma3n:latest
Tokens/sec7.1108.7
First chunk41 ms333 ms
TTFT1.2 s333 ms
Load time71.7 s4.5 s
Memory usage0.9 GB8.6 GB
Memory %6%7%

HW Fit Score Breakdown

google/gemma-4-e4b

Speed
12/50
TTFT
20/20
Memory
30/30

gemma3n:latest

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

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

gemma3n:latest

Reasoning
14/20
Coding
14/20
Instruction
14/20
Structured
14/15
Math
7/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong

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