Back to leaderboard

google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · 7.9B · Q4_K_M

Excellent

Oct 31, 2026 · AMD RYZEN AI MAX+ 395

gemma3n:latest

OLLAMA GGUF

gemma3n · 6.9B · Q4_K_M

Excellent

Mar 6, 2026 · AMD EPYC 9654P 96-Core Processor

Global Score
81 vs 81
Hardware Fit
84 vs 100
Quality Score
79 vs 73

Hardware

google/gemma-4-e4b gemma3n:latest
MachineGMKtec EVO-X3Supermicro AS -2015HS-TNR
CPUAMD RYZEN AI MAX+ 395AMD EPYC 9654P 96-Core Processor
Cores3264
RAM120 GB128 GB
GPUAMD Radeon(TM) 8060S GraphicsGH100 [H100L 94GB], ASPEED Graphics Family, GH100 [H100L 94GB]
OSMicrosoft Windows 11 Pro 10.0.26300Ubuntu 24.04.3 LTS
Archx64x64
Power Modebalancedperformance

Performance

google/gemma-4-e4b gemma3n:latest
Tokens/sec47.3108.7
First chunk23 ms333 ms
TTFT1.9 s333 ms
Load timeN/A4.5 s
Memory usage13.2 GB8.6 GB
Memory %11%7%

HW Fit Score Breakdown

google/gemma-4-e4b

Speed
44/50
TTFT
10/20
Memory
30/30

gemma3n:latest

Speed
50/50
TTFT
20/20
Memory
30/30

Quality

google/gemma-4-e4b

Reasoning
14/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
7/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong

gemma3n:latest

Reasoning
14/20
Coding
14/20
Instruction
14/20
Structured
14/15
Math
7/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong

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