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Comparison of the Usability of Apple M2 and M1 Processors for Various Machine Learning Tasks

This paper compares the usability of various Apple MacBook Pro laptops were tested for basic machine learning research applications, including text-based, vision-based, and tabular data. Four tests/benchmarks were conducted using four different MacBook Pro models—M1, M1 Pro, M2, and M2 Pro. A script...

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Detalles Bibliográficos
Autores principales: Kasperek, David, Antonowicz, Pawel, Baranowski, Marek, Sokolowska, Marta, Podpora, Michal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10305298/
https://www.ncbi.nlm.nih.gov/pubmed/37420589
http://dx.doi.org/10.3390/s23125424
Descripción
Sumario:This paper compares the usability of various Apple MacBook Pro laptops were tested for basic machine learning research applications, including text-based, vision-based, and tabular data. Four tests/benchmarks were conducted using four different MacBook Pro models—M1, M1 Pro, M2, and M2 Pro. A script written in Swift was used to train and evaluate four machine learning models using the Create ML framework, and the process was repeated three times. The script also measured performance metrics, including time results. The results were presented in tables, allowing for a comparison of the performance of each device and the impact of their hardware architectures.