qwen3-0.6b
LM-STUDIO GGUFqwen3 · 0.6B · Q4_K_M
Mar 5, 2026 · Intel Core™ i5-5300U
google/gemma-4-e4b
LM-STUDIO GGUFgemma4 · 7.9B · Q4_K_M
Sep 20, 2026 · AMD Ryzen 9 8940HX
Global Score
40 vs 83
Hardware Fit
89 vs 96
Quality Score
19 vs 78
Hardware
qwen3-0.6b google/gemma-4-e4b
MachineLENOVO 20BUS00700ASUSTeK COMPUTER INC. ROG Strix G16 G614PH_G614PH
CPUIntel Core™ i5-5300UAMD Ryzen 9 8940HX
Cores432
RAM16 GB15 GB
GPUIntel(R) HD Graphics 5500NVIDIA GeForce RTX 5050 Laptop GPU, AMD Radeon(TM) 610M
OSMicrosoft Windows 10 Professionnel 10.0.19045Microsoft Windows 11 Home Single Language 10.0.26200
Archx64x64
Power Modebalancedbalanced
Performance
qwen3-0.6b google/gemma-4-e4b
Tokens/sec14.435.9
First chunk854 ms9 ms
TTFT854 ms182 ms
Load timeN/AN/A
Memory usage0.5 GB6.5 GB
Memory %3%43%
HW Fit Score Breakdown
qwen3-0.6b
Speed
43/50
TTFT
20/20
Memory
26/30
google/gemma-4-e4b
Speed
49/50
TTFT
20/20
Memory
27/30
Quality
qwen3-0.6b
Reasoning
5/20
Coding
1/20
Instruction
3/20
Structured
4/15
Math
0/15
Multilingual
6/10
Reasoning: Weak Coding: Poor Instruction Following: Poor Structured Output: Weak Math: Poor Multilingual: Adequate
google/gemma-4-e4b
Reasoning
14/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest