Python software suite designed to evaluate the performance of TensorFlow Lite models deployed on embedded devices such as the Raspberry Pi Zero 2W. These scripts assess different aspects of model execution, including memory usage, inference throughput, and latency. Includes testing dataset and pre-trained models

TinyML Model Performance Testing Suite

Rocco De Marco
Primo
Software
2025

Abstract

Python software suite designed to evaluate the performance of TensorFlow Lite models deployed on embedded devices such as the Raspberry Pi Zero 2W. These scripts assess different aspects of model execution, including memory usage, inference throughput, and latency. Includes testing dataset and pre-trained models
2025
Istituto per le Risorse Biologiche e le Biotecnologie Marine - IRBIM
TinyML, CNN, Dolphin monitoring, Passive acoustic monitoring
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/541271
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