google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · 7.9B · Q4_K_M

Excellent

Sep 20, 2026 · AMD Ryzen 9 8940HX

cogito:8b

OLLAMA GGUF

llama · 8.0B · Q4_K_M

Good

Mar 6, 2026 · Apple M4

Global Score

83 vs 77

Hardware Fit

96 vs 92

Quality Score

78 vs 70

Hardware

google/gemma-4-e4b cogito: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 cogito:8b

Tokens/sec35.921.0

First chunk9 ms312 ms

TTFT182 ms312 ms

Load timeN/A0.8 s

Memory usage6.5 GB10.4 GB

Memory %43%33%

HW Fit Score Breakdown

google/gemma-4-e4b

Speed

49/50

TTFT

20/20

Memory

27/30

cogito:8b

Speed

42/50

TTFT

20/20

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

cogito:8b

Reasoning

14/20

Coding

13/20

Instruction

13/20

Structured

15/15

Math

5/15

Multilingual

10/10

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

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