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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

Mar 16, 2026 · Intel Core™ i7-4771

Global Score
62 vs 65
Hardware Fit
77 vs 92
Quality Score
55 vs 54

Hardware

google/gemma-4-e4b qwen2.5:1.5b
MachineLENOVO 82JQiMac
CPUAMD Ryzen 7 5800HIntel Core™ i7-4771
Cores168
RAM16 GB32 GB
GPUNVIDIA GeForce RTX 3060 Laptop GPUNVIDIA GeForce GTX 780M
OSMicrosoft Windows 11 家庭版 中文版 10.0.26100macOS 15.7.3
Archx64x64
Power Modebalancedbalanced

Performance

google/gemma-4-e4b qwen2.5:1.5b
Tokens/sec27.619.6
First chunk23 ms690 ms
TTFT480 ms690 ms
Load timeN/A21.4 s
Memory usage13.2 GB1.0 GB
Memory %83%3%

HW Fit Score Breakdown

google/gemma-4-e4b

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

qwen2.5:1.5b

Speed
42/50
TTFT
20/20
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

qwen2.5:1.5b

Reasoning
8/20
Coding
9/20
Instruction
12/20
Structured
13/15
Math
5/15
Multilingual
7/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Adequate
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