google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · 7.9B · Q4_K_M

Excellent

Sep 20, 2026 · AMD Ryzen 9 8940HX

starling-lm:7b

OLLAMA GGUF

llama · 7B · Q4_0

Good

Mar 2, 2026 · Apple M4

Global Score

83 vs 63

Hardware Fit

96 vs 97

Quality Score

78 vs 49

Hardware

google/gemma-4-e4b starling-lm:7b

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 starling-lm:7b

Tokens/sec35.923.7

First chunk9 msN/A

TTFT182 ms234 ms

Load timeN/A0.4 s

Memory usage6.5 GB5.3 GB

Memory %43%17%

HW Fit Score Breakdown

google/gemma-4-e4b

Speed

49/50

TTFT

20/20

Memory

27/30

starling-lm:7b

Speed

37/50

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

starling-lm:7b

Reasoning

11/20

Coding

13/20

Instruction

6/20

Structured

3/15

Math

8/15

Multilingual

8/10

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

View google/gemma-4-e4b details | View starling-lm: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