google/gemma-4-e4b

LM-STUDIO GGUF

vlm · 7.9B · Q4_K_M

Marginal

Oct 1, 2026 · AMD Ryzen 7 4800H

gemma4:12b

OLLAMA GGUF

gemma4 · 11.9B · Q4_K_M

Not Rec.

Aug 22, 2026 · Apple M1 Pro

Global Score

59 vs 63

Hardware Fit

62 vs 62

Quality Score

58 vs 63

Hardware

google/gemma-4-e4b gemma4:12b

MachineASUSTeK COMPUTER INC. ROG Strix G513IM_G513IMMacBook Pro

CPUAMD Ryzen 7 4800HApple M1 Pro

Cores1610

RAM15 GB16 GB

GPUAMD Radeon(TM) Graphics, NVIDIA GeForce RTX 3060 Laptop GPUApple M1 Pro

OSMicrosoft Windows 11 Pro 10.0.26200macOS 26.6.2

Archx64arm64

Power Modebalancedbalanced

Performance

google/gemma-4-e4b gemma4:12b

Tokens/sec7.115.3

First chunk41 ms1142 ms

TTFT1.2 s30.0 s

Load time71.7 s5.4 s

Memory usage0.9 GB7.6 GB

Memory %6%47%

HW Fit Score Breakdown

google/gemma-4-e4b

Speed

12/50

TTFT

20/20

Memory

30/30

gemma4:12b

Speed

36/50

TTFT

0/20

Memory

26/30

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

gemma4:12b

Reasoning

10/20

Coding

10/20

Instruction

9/20

Structured

14/15

Math

10/15

Multilingual

10/10

Reasoning: Weak Coding: Adequate Instruction Following: Weak Structured Output: Strong Math: Adequate Multilingual: Strong

View google/gemma-4-e4b details | View gemma4:12b 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