Navigation : MXNet AlexNet CIFAR_WideResNet16_10 CIFAR_WideResNet28_10 CIFAR_WideResNet40_8 DenseNet121 DenseNet161 Faster_RCNN_ResNet50_v1b_VOC MobileNet_0.25 MobileNet_0.5 MobileNet_0.75 MobileNet_1.0 MobileNet_v2_0.25 MobileNet_v2_0.5 MobileNet_v2_0.75 MobileNet_v2_1.0 ResNet101_v1 ResNet101_v2 ResNet152_v1 ResNet152_v2 ResNet18_v1 ResNet18_v2 ResNet34_v1 ResNet34_v2 ResNet50_v1 ResNet50_v2 ResNext101_32x4d ResNext50_32x4d SSD_300_VGG16_Atrous_COCO SSD_512_ResNet50_v1_COCO SSD_512_ResNet50_v1_VOC SSD_512_VGG16_Atrous_COCO SqueezeNet_v1.0 SqueezeNet_v1.1 VGG16 VGG19 TensorFlow GPU Kernel Achieved Occupancy per Layer GPU Kernel DRAM Reads per Layer GPU Kernel DRAM Writes per Layer GPU Kernel Information GPU Kernel Information Aggregated by Layer GPU Kernel Information Aggregated by Model GPU Kernel Information Aggregated by Name GPU Kernel flops per Layer Layer Aggregated Allocated Memory Percentage Layer Aggregated Information Layer Aggregated Latency Percentage Layer Allocated Memory Layer GPU vs CPU Latency Layer Information Layer Latency Layer Occurrence PercentageTesla_M60TensorFlow SSD_MobileNet_v2_COCO from AI-Matrix Batch Size = 1 on Tesla_M60Model InformationModel Latency and ThroughputBatch Size = 1GPU Kernel Information Aggregated by Name Model Information