google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · 7.9B · Q4_K_M

Excellent

Sep 20, 2026 · AMD Ryzen 9 8940HX

aya:8b

OLLAMA GGUF

command-r · 8.0B · F16

Good

Mar 1, 2026 · Apple M4

Global Score

83 vs 66

Hardware Fit

96 vs 92

Quality Score

78 vs 55

Hardware

google/gemma-4-e4b aya:8b

MachineASUSTeK COMPUTER INC. ROG Strix G16 G614PH_G614PHMacBook Air

CPUAMD Ryzen 9 8940HXApple M4

Cores3210

RAM15 GB32 GB

GPUNVIDIA GeForce RTX 5050 Laptop GPU, AMD Radeon(TM) 610MApple M4

OSMicrosoft Windows 11 Home Single Language 10.0.26200macOS 26.3

Archx64arm64

Power Modebalancedbalanced

Performance

google/gemma-4-e4b aya:8b

Tokens/sec35.920.0

First chunk9 msN/A

TTFT182 ms300 ms

Load timeN/A0.9 s

Memory usage6.5 GB6.0 GB

Memory %43%19%

HW Fit Score Breakdown

google/gemma-4-e4b

Speed

49/50

TTFT

20/20

Memory

27/30

aya:8b

Speed

32/50

TTFT

30/20

Memory

30/30

Quality

google/gemma-4-e4b

Reasoning

14/20

Coding

18/20

Instruction

15/20

Structured

15/15

Math

6/15

Multilingual

10/10

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

aya:8b

Reasoning

10/20

Coding

6/20

Instruction

13/20

Structured

15/15

Math

2/15

Multilingual

9/10

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

View google/gemma-4-e4b details | View aya:8b 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