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google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

qwen2.5:1.5b

OLLAMA GGUF

qwen2 · 1.5B · Q4_K_M

Good

Jun 17, 2026 · ZHAOXIN KaiXian KX-7000 KaiXian KX-7000

Global Score
68 vs 65
Hardware Fit
93 vs 87
Quality Score
57 vs 56

Hardware

google/gemma-4-e4b qwen2.5:1.5b
MachineLENOVO 82JQShanghai Zhaoxin Semiconductor Co., Ltd. ZXE CRB
CPUAMD Ryzen 7 5800HZHAOXIN KaiXian KX-7000 KaiXian KX-7000
Cores168
RAM16 GB30 GB
GPUNVIDIA GeForce RTX 3060 Laptop GPUZX C-1190
OSMicrosoft Windows 11 家庭版 中文版 10.0.26100Microsoft Windows 11 Pro 10.0.26100
Archx64x64
Power Modebalancedbalanced

Performance

google/gemma-4-e4b qwen2.5:1.5b
Tokens/sec26.216.8
First chunk17 ms941 ms
TTFT572 ms941 ms
Load timeN/A0.2 s
Memory usage6.5 GB1.0 GB
Memory %41%3%

HW Fit Score Breakdown

google/gemma-4-e4b

Speed
46/50
TTFT
20/20
Memory
27/30

qwen2.5:1.5b

Speed
37/50
TTFT
20/20
Memory
30/30

Quality

google/gemma-4-e4b

Reasoning
17/20
Coding
19/20
Instruction
4/20
Structured
4/15
Math
12/15
Multilingual
1/10
Reasoning: Strong Coding: Strong Instruction Following: Poor Structured Output: Weak Math: Strong Multilingual: Poor

qwen2.5:1.5b

Reasoning
8/20
Coding
10/20
Instruction
12/20
Structured
13/15
Math
5/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
View google/gemma-4-e4b details | View qwen2.5:1.5b 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