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gemma-4-e4b-it@q5_k_xl

LM-STUDIO GGUF

gemma4 · Q5_K_XL

Good

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

qwen2.5:3b

OLLAMA GGUF

qwen2 · 3.1B · Q4_K_M

Good

Jun 26, 2026 · Cortex-A78AE

Global Score
77 vs 77
Hardware Fit
59 vs 100
Quality Score
84 vs 67

Hardware

gemma-4-e4b-it@q5_… qwen2.5:3b
MachineDocker ContainerNVIDIA NVIDIA Jetson Orin Nano Engineering Reference Developer Kit Super
CPUIntel Gen Intel® Core™ i9-11900HCortex-A78AE
Cores166
RAM15 GB7 GB
GPUTigerLake-H GT1 [UHD Graphics]Integrated / Unknown
OSUbuntu 26.04 LTSUbuntu 22.04.5 LTS
Archx64arm64
Power Modeperformancebalanced

Performance

gemma-4-e4b-it@q5_… qwen2.5:3b
Tokens/sec9.321.4
First chunk51 ms1006 ms
TTFT3.4 s1.0 s
Load time12.2 s6.4 s
Memory usage0.0 GB2.0 GB
Memory %0%27%

HW Fit Score Breakdown

gemma-4-e4b-it@q5_k_xl

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

qwen2.5:3b

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

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

qwen2.5:3b

Reasoning
12/20
Coding
14/20
Instruction
11/20
Structured
15/15
Math
6/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
View gemma-4-e4b-it@q5_… details | View qwen2.5:3b 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