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google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

qwen3:14b

OLLAMA GGUF

qwen3 · 14.8B · Q4_K_M

Excellent

Jun 13, 2026 · AMD Ryzen 9 3900X 12-Core Processor

Global Score
62 vs 82
Hardware Fit
77 vs 90
Quality Score
55 vs 79

Hardware

google/gemma-4-e4b qwen3:14b
MachineLENOVO 82JQMicro-Star International Co., Ltd. MS-7C37
CPUAMD Ryzen 7 5800HAMD Ryzen 9 3900X 12-Core Processor
Cores1624
RAM16 GB64 GB
GPUNVIDIA GeForce RTX 3060 Laptop GPUGameViewer Virtual Display Adapter, NVIDIA GeForce RTX 3080
OSMicrosoft Windows 11 家庭版 中文版 10.0.26100Microsoft Windows 11 专业版 10.0.26200
Archx64x64
Power Modebalancedbalanced

Performance

google/gemma-4-e4b qwen3:14b
Tokens/sec27.674.4
First chunk23 ms324 ms
TTFT480 ms2.6 s
Load timeN/A5.1 s
Memory usage13.2 GB9.0 GB
Memory %83%14%

HW Fit Score Breakdown

google/gemma-4-e4b

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

qwen3:14b

Speed
50/50
TTFT
10/20
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

qwen3:14b

Reasoning
18/20
Coding
11/20
Instruction
17/20
Structured
14/15
Math
10/15
Multilingual
9/10
Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View google/gemma-4-e4b details | View qwen3:14b 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