Table 7.

Comparison of classification performance.

Inference Accuracy
Dataset	Model	ANN	ANN-SNN	ANN-SNN	SNN	SNN
			(Diehl et al., 2015)	(Sengupta et al., 2019)	(Previous Best)	This Work)
MNIST	LeNet	99.57%	99.55%	99.59%	99.49% (Jin et al., 2018)	99.59%
N-MNIST	LeNet	–	–	–	99.53% (Wu et al., 2018a)	99.09%
SVHN	VGG7	96.36%	96.33%	96.30%	–	96.06%
	ResNet7	96.43%	96.33%	96.40%	–	96.21%
CIFAR-10	VGG9	91.98%	91.89%	92.01%	90.53% (Wu et al., 2018a)	90.45%
	ResNet9	91.85%	90.78%	91.59%		90.35%
	ResNet11	91.87%	90.98%	91.65%		90.95%