ResearchBenchmarksImage Classification on CIFAR-100 (test) (Accuracy and Efficiency Profile)Image Classification on CIFAR-100 (test) (Accuracy and Efficiency Profile)Follow77.22AccuracyANN45.843253.989162.13570.2809Aug 20, 2025Evaluation resultsMethodMethodLinksAccuracyFLOPs (M)SOPs (M)Energy (µJ)ANNBackbone=VGG-16Backbone=VGG-162025.0877.22332.0701,527.2PMSMT=1, Backbone=VGG-16T=1, Backbone=VGG-162025.0876.711.776.513.99PMSMT=2, Backbone=VGG-16T=2, Backbone=VGG-162025.0876.713.5413.0428.02QAT=2, Backbone=VGG-16T=2, Backbone=VGG-162025.0857.563.5462.9772.96QAT=1, Backbone=VGG-16T=1, Backbone=VGG-162025.0847.051.7727.9333.28