Back to leaderboard

gemma-4-e4b-it@q5_k_xl

LM-STUDIO GGUF

gemma4 · Q5_K_XL

Good

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

google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

Global Score
77 vs 62
Hardware Fit
59 vs 77
Quality Score
84 vs 55

Hardware

gemma-4-e4b-it@q5_… google/gemma-4-e4b
MachineDocker ContainerLENOVO 82JQ
CPUIntel Gen Intel® Core™ i9-11900HAMD Ryzen 7 5800H
Cores1616
RAM15 GB16 GB
GPUTigerLake-H GT1 [UHD Graphics]NVIDIA GeForce RTX 3060 Laptop GPU
OSUbuntu 26.04 LTSMicrosoft Windows 11 家庭版 中文版 10.0.26100
Archx64x64
Power Modeperformancebalanced

Performance

gemma-4-e4b-it@q5_… google/gemma-4-e4b
Tokens/sec9.327.6
First chunk51 ms23 ms
TTFT3.4 s480 ms
Load time12.2 sN/A
Memory usage0.0 GB13.2 GB
Memory %0%83%

HW Fit Score Breakdown

gemma-4-e4b-it@q5_k_xl

Speed
17/50
TTFT
12/20
Memory
30/30

google/gemma-4-e4b

Speed
48/50
TTFT
20/20
Memory
9/30

Quality

gemma-4-e4b-it@q5_k_xl

Reasoning
15/20
Coding
18/20
Instruction
17/20
Structured
15/15
Math
9/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

google/gemma-4-e4b

Reasoning
18/20
Coding
17/20
Instruction
5/20
Structured
3/15
Math
11/15
Multilingual
1/10
Reasoning: Strong Coding: Strong Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Poor

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