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google/gemma-4-e4b-it-qat

LM-STUDIO GGUF

gemma4 · Q4_0

Good

Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H

gemma3n:latest

OLLAMA GGUF

gemma3n · 6.9B · Q4_K_M

Excellent

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

Global Score
78 vs 81
Hardware Fit
68 vs 100
Quality Score
82 vs 73

Hardware

google/gemma-4-e4b… gemma3n:latest
MachineDocker ContainerSupermicro AS -2015HS-TNR
CPUIntel Gen Intel® Core™ i9-11900HAMD EPYC 9654P 96-Core Processor
Cores1664
RAM15 GB128 GB
GPUTigerLake-H GT1 [UHD Graphics]GH100 [H100L 94GB], ASPEED Graphics Family, GH100 [H100L 94GB]
OSUbuntu 26.04 LTSUbuntu 24.04.3 LTS
Archx64x64
Power Modeperformanceperformance

Performance

google/gemma-4-e4b… gemma3n:latest
Tokens/sec11.4108.7
First chunk26 ms333 ms
TTFT2.2 s333 ms
Load time5.9 s4.5 s
Memory usage0.0 GB8.6 GB
Memory %0%7%

HW Fit Score Breakdown

google/gemma-4-e4b-it-qat

Speed
21/50
TTFT
17/20
Memory
30/30

gemma3n:latest

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

Quality

google/gemma-4-e4b-it-qat

Reasoning
14/20
Coding
18/20
Instruction
17/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate 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