google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

gemma-4-31b-it-mlx

LM-STUDIO MLX

gemma4 · 31B · 8bit

Excellent

Aug 19, 2026 · Apple M4 Max

Global Score

68 vs 85

Hardware Fit

93 vs 64

Quality Score

57 vs 94

Hardware

google/gemma-4-e4b gemma-4-31b-it-mlx

MachineLENOVO 82JQMacBook Pro

CPUAMD Ryzen 7 5800HApple M4 Max

Cores1616

RAM16 GB128 GB

GPUNVIDIA GeForce RTX 3060 Laptop GPUApple M4 Max

OSMicrosoft Windows 11 家庭版中文版 10.0.26100macOS 26.5.2

Archx64arm64

Power Modebalancedbalanced

Performance

google/gemma-4-e4b gemma-4-31b-it-mlx

Tokens/sec26.213.6

First chunk17 ms16 ms

TTFT572 ms558 ms

Load timeN/A12.3 s

Memory usage6.5 GB0.0 GB

Memory %41%0%

HW Fit Score Breakdown

google/gemma-4-e4b

Speed

46/50

TTFT

20/20

Memory

27/30

gemma-4-31b-it-mlx

Speed

14/50

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

gemma-4-31b-it-mlx

Reasoning

19/20

Coding

19/20

Instruction

18/20

Structured

15/15

Math

14/15

Multilingual

9/10

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

View google/gemma-4-e4b details | View gemma-4-31b-it-mlx 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