ResearchBenchmarksImage Classification on CIFAR-10 (Accuracy, Time, Power, Energy)Follow78AccuracyQDSNN64.27267.83671.474.964Mar 15, 2026Evaluation ResultsMethodMethodLinksAccuracyInference Time (ms)Average Power (W)Total Energy (mJ)QDSNNArchitecture=AlexNet,...Architecture=AlexNet, Thresholds=0.6/0.72026.03782.21.242.68SNNArchitecture=AlexNet,...Architecture=AlexNet, Timesteps (T)=322026.0377.011,8020.493888QSNNArchitecture=AlexNet,...Architecture=AlexNet, Timesteps (T)=42026.0374.31.71.662.82QDSNNArchitecture=AlexNet,...Architecture=AlexNet, Thresholds=0.2/0.42026.0364.82.51.062.68