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google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · 7.9B · Q4_K_M

Excellent

Sep 20, 2026 · AMD Ryzen 9 8940HX

qwen2.5:7b

OLLAMA GGUF

qwen2 · 7.6B · Q4_K_M

Excellent

Nov 3, 2026 · Intel Gen Intel® Core™ i9-12900HX

Global Score
83 vs 85
Hardware Fit
96 vs 100
Quality Score
78 vs 79

Hardware

google/gemma-4-e4b qwen2.5:7b
MachineASUSTeK COMPUTER INC. ROG Strix G16 G614PH_G614PHMACHENIKE L16P
CPUAMD Ryzen 9 8940HXIntel Gen Intel® Core™ i9-12900HX
Cores3224
RAM15 GB32 GB
GPUNVIDIA GeForce RTX 5050 Laptop GPU, AMD Radeon(TM) 610MNVIDIA GeForce RTX 4060 Laptop GPU
OSMicrosoft Windows 11 Home Single Language 10.0.26200Microsoft Windows 11 专业版 10.0.26300
Archx64x64
Power Modebalancedbalanced

Performance

google/gemma-4-e4b qwen2.5:7b
Tokens/sec35.952.3
First chunk9 ms50 ms
TTFT182 ms50 ms
Load timeN/A2.0 s
Memory usage6.5 GB4.4 GB
Memory %43%14%

HW Fit Score Breakdown

google/gemma-4-e4b

Speed
49/50
TTFT
20/20
Memory
27/30

qwen2.5:7b

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

Quality

google/gemma-4-e4b

Reasoning
14/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong

qwen2.5:7b

Reasoning
14/20
Coding
18/20
Instruction
16/20
Structured
14/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View google/gemma-4-e4b details | View qwen2.5:7b 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