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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

qwen3.5:9b

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Excellent

Mar 5, 2026 · AMD RYZEN AI MAX+ 395

Global Score
59 vs 82
Hardware Fit
62 vs 81
Quality Score
58 vs 82

Hardware

google/gemma-4-e4b qwen3.5:9b
MachineASUSTeK COMPUTER INC. ROG Strix G513IM_G513IMAZW GTR Pro
CPUAMD Ryzen 7 4800HAMD RYZEN AI MAX+ 395
Cores1632
RAM15 GB125 GB
GPUAMD Radeon(TM) Graphics, NVIDIA GeForce RTX 3060 Laptop GPUAMD Radeon 8060S
OSMicrosoft Windows 11 Pro 10.0.26200Ubuntu 24.04.4 LTS
Archx64x64
Power Modebalancedperformance

Performance

google/gemma-4-e4b qwen3.5:9b
Tokens/sec7.130.8
First chunk41 ms195 ms
TTFT1.2 s195 ms
Load time71.7 s5.2 s
Memory usage0.9 GB18.8 GB
Memory %6%15%

HW Fit Score Breakdown

google/gemma-4-e4b

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

qwen3.5:9b

Speed
31/50
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

qwen3.5:9b

Reasoning
14/20
Coding
17/20
Instruction
15/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong 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

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Or run without installing: npx metrillm@latest