A cross-platform measurement study of accuracy, speed, power, and memory for classical ML, deep learning, and LLM inference on four edge devices, with parameter tuning guidelines.
Edge devices inference performance comparison,
1 Pith paper cite this work, alongside 9 external citations. Polarity classification is still indexing.
1
Pith paper citing it
9
external citations · OpenAlex
citation-role summary
background 1
citation-polarity summary
fields
cs.LG 1years
2025 1verdicts
REJECT 1roles
background 1polarities
support 1representative citing papers
citing papers explorer
-
On the Sustainability of AI Inferences in the Edge
A cross-platform measurement study of accuracy, speed, power, and memory for classical ML, deep learning, and LLM inference on four edge devices, with parameter tuning guidelines.