google/gemma-4-e4b

LM-STUDIO GGUF

vlm · 7.9B · Q4_K_M

Marginal

Oct 1, 2026 · AMD Ryzen 7 4800H

gemma-4-31b-it-mlx

LM-STUDIO MLX

gemma4 · 31B · 8bit

Excellent

Aug 19, 2026 · Apple M4 Max

Global Score

59 vs 85

Hardware Fit

62 vs 64

Quality Score

58 vs 94

Hardware

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

MachineASUSTeK COMPUTER INC. ROG Strix G513IM_G513IMMacBook Pro

CPUAMD Ryzen 7 4800HApple M4 Max

Cores1616

RAM15 GB128 GB

GPUAMD Radeon(TM) Graphics, NVIDIA GeForce RTX 3060 Laptop GPUApple M4 Max

OSMicrosoft Windows 11 Pro 10.0.26200macOS 26.5.2

Archx64arm64

Power Modebalancedbalanced

Performance

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

Tokens/sec7.113.6

First chunk41 ms16 ms

TTFT1.2 s558 ms

Load time71.7 s12.3 s

Memory usage0.9 GB0.0 GB

Memory %6%0%

HW Fit Score Breakdown

google/gemma-4-e4b

Speed

12/50

TTFT

20/20

Memory

30/30

gemma-4-31b-it-mlx

Speed

14/50

TTFT

20/20

Memory

30/30

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

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