google/gemma-4-e4b

LM-STUDIO GGUF

vlm · 7.9B · Q4_K_M

Marginal

Oct 1, 2026 · AMD Ryzen 7 4800H

codegemma:7b

OLLAMA GGUF

gemma · 9B · Q4_0

Good

Mar 1, 2026 · Apple M4

Global Score

59 vs 71

Hardware Fit

62 vs 91

Quality Score

58 vs 62

Hardware

google/gemma-4-e4b codegemma:7b

MachineASUSTeK COMPUTER INC. ROG Strix G513IM_G513IMMacBook Air

CPUAMD Ryzen 7 4800HApple M4

Cores1610

RAM15 GB32 GB

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

OSMicrosoft Windows 11 Pro 10.0.26200macOS 26.3

Archx64arm64

Power Modebalancedbalanced

Performance

google/gemma-4-e4b codegemma:7b

Tokens/sec7.118.7

First chunk41 msN/A

TTFT1.2 s320 ms

Load time71.7 s0.8 s

Memory usage0.9 GB8.7 GB

Memory %6%27%

HW Fit Score Breakdown

google/gemma-4-e4b

Speed

12/50

TTFT

20/20

Memory

30/30

codegemma:7b

Speed

31/50

TTFT

30/20

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

codegemma:7b

Reasoning

1/20

Coding

14/20

Instruction

13/20

Structured

15/15

Math

10/15

Multilingual

9/10

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

View google/gemma-4-e4b details | View codegemma: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