google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · 7.9B · Q4_K_M

Excellent

Nov 1, 2026 · AMD RYZEN AI MAX+ 395

gemma3:4b

OLLAMA GGUF

gemma3 · 4.3B · Q4_K_M

Good

Jun 26, 2026 · Cortex-A78AE

Global Score

80 vs 76

Hardware Fit

83 vs 92

Quality Score

79 vs 69

Hardware

google/gemma-4-e4b gemma3:4b

MachineGMKtec EVO-X3NVIDIA NVIDIA Jetson Orin Nano Engineering Reference Developer Kit Super

CPUAMD RYZEN AI MAX+ 395Cortex-A78AE

Cores326

RAM120 GB7 GB

GPUAMD Radeon(TM) 8060S GraphicsIntegrated / Unknown

OSMicrosoft Windows 11 Pro 10.0.26300Ubuntu 22.04.5 LTS

Archx64arm64

Power Modebalancedbalanced

Performance

google/gemma-4-e4b gemma3:4b

Tokens/sec46.515.0

First chunk14 ms2380 ms

TTFT1.9 s2.4 s

Load time7.6 s13.6 s

Memory usage0.0 GB2.6 GB

Memory %0%35%

HW Fit Score Breakdown

google/gemma-4-e4b

Speed

43/50

TTFT

10/20

Memory

30/30

gemma3:4b

Speed

45/50

TTFT

18/20

Memory

29/30

Quality

google/gemma-4-e4b

Reasoning

14/20

Coding

18/20

Instruction

15/20

Structured

15/15

Math

7/15

Multilingual

10/10

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

gemma3:4b

Reasoning

11/20

Coding

17/20

Instruction

13/20

Structured

14/15

Math

4/15

Multilingual

10/10

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

View google/gemma-4-e4b details | View gemma3:4b 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