google/gemma-4-e4b

LM-STUDIO GGUF

vlm · 7.9B · Q4_K_M

Marginal

Oct 1, 2026 · AMD Ryzen 7 4800H

gemma4:e4b-mlx

OLLAMA GGUF

Excellent

Aug 24, 2026 · Apple M1 Pro

Global Score

59 vs 90

Hardware Fit

62 vs 86

Quality Score

58 vs 92

Hardware

google/gemma-4-e4b gemma4:e4b-mlx

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:e4b-mlx

Tokens/sec7.141.8

First chunk41 ms359 ms

TTFT1.2 s4.2 s

Load time71.7 s5.1 s

Memory usage0.9 GB7.9 GB

Memory %6%49%

HW Fit Score Breakdown

google/gemma-4-e4b

Speed

12/50

TTFT

20/20

Memory

30/30

gemma4:e4b-mlx

Speed

50/50

TTFT

11/20

Memory

25/30

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:e4b-mlx

Reasoning

19/20

Coding

19/20

Instruction

14/20

Structured

15/15

Math

15/15

Multilingual

10/10

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

View google/gemma-4-e4b details | View gemma4:e4b-mlx details

Run yours and compare

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$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest