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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

qwen3:8b

OLLAMA GGUF

qwen3 · 8.2B · Q4_K_M

Excellent

Apr 28, 2026 · Intel Xeon® Gold 6230

Global Score
77 vs 80
Hardware Fit
59 vs 85
Quality Score
84 vs 78

Hardware

gemma-4-e4b-it@q5_… qwen3:8b
MachineDocker ContainerHP HP Z8 G4 Workstation
CPUIntel Gen Intel® Core™ i9-11900HIntel Xeon® Gold 6230
Cores1680
RAM15 GB252 GB
GPUTigerLake-H GT1 [UHD Graphics]TU104GL [Quadro RTX 5000]
OSUbuntu 26.04 LTSUbuntu 24.04.4 LTS
Archx64x64
Power Modeperformancelow-power

Performance

gemma-4-e4b-it@q5_… qwen3:8b
Tokens/sec9.365.1
First chunk51 ms289 ms
TTFT3.4 s4.2 s
Load time12.2 s4.6 s
Memory usage0.0 GB5.6 GB
Memory %0%2%

HW Fit Score Breakdown

gemma-4-e4b-it@q5_k_xl

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

qwen3:8b

Speed
50/50
TTFT
5/20
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

qwen3:8b

Reasoning
17/20
Coding
10/20
Instruction
14/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Strong Multilingual: Strong
View gemma-4-e4b-it@q5_… details | View qwen3:8b 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