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Is INT8 Portable? A Cross-Platform Measurement Study of Quantized Inference on Embedded and Automotive Accelerators

Shin, Yuyeong
arXiv (OAI Expanded) · Papers
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c-4g-1-0hardware-architecturei-2-6machine-learningperformance
Eight-bit integer (INT8) post-training quantization is the default recipe for edge deployment, under a widely held assumption: INT8 makes inference faster at a small, predictable accuracy cost, and a model quantized once can be carried to any target. We test that assumption with a controlled measure
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