google/gemma-4-e4b

LM-STUDIO GGUF

vlm · 7.9B · Q4_K_M

Marginal

Oct 1, 2026 · AMD Ryzen 7 4800H

qwen3.5:9b

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Good

Mar 7, 2026 · AMD Ryzen 5 5500

Global Score

59 vs 71

Hardware Fit

62 vs 56

Quality Score

58 vs 78

Hardware

google/gemma-4-e4b qwen3.5:9b

MachineASUSTeK COMPUTER INC. ROG Strix G513IM_G513IMSystem manufacturer

CPUAMD Ryzen 7 4800HAMD Ryzen 5 5500

Cores1612

RAM15 GB16 GB

GPUAMD Radeon(TM) Graphics, NVIDIA GeForce RTX 3060 Laptop GPUNVIDIA GeForce RTX 3060

OSMicrosoft Windows 11 Pro 10.0.26200Microsoft Windows 11 IoT Enterprise LTSC 10.0.26100

Archx64x64

Power Modebalancedbalanced

Performance

google/gemma-4-e4b qwen3.5:9b

Tokens/sec7.15.3

First chunk41 ms1624 ms

TTFT1.2 s1.6 s

Load time71.7 s4.0 s

Memory usage0.9 GB7.9 GB

Memory %6%50%

HW Fit Score Breakdown

google/gemma-4-e4b

Speed

12/50

TTFT

20/20

Memory

30/30

qwen3.5:9b

Speed

11/50

TTFT

20/20

Memory

25/30

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

qwen3.5:9b

Reasoning

14/20

Coding

17/20

Instruction

12/20

Structured

15/15

Math

10/15

Multilingual

10/10

Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong

View google/gemma-4-e4b details | View qwen3.5:9b details

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$ npm install -g metrillm@latest

$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest