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 AI_Matrix Densenet121 AI_Matrix_GoogleNet AI_Matrix_ResNet152 AI_Matrix_ResNet50 BVLC_AlexNet_Caffe BVLC_GoogLeNet_Caffe DeepLabv3_MobileNet_v2_DM_05_PASCAL_VOC_Train_Val DeepLabv3_PASCAL_VOC_Train_Val Faster_RCNN_Inception_v2_COCO Faster_RCNN_NAS_COCO Faster_RCNN_ResNet101_COCO Faster_RCNN_ResNet50_COCO Inception_5h Inception_ResNet_v2 Inception_v1 Inception_v2 Inception_v3 EC2_P3_CPU (E5-2686 v4) Quadro_RTX_6000 Tesla_K80 Tesla_M60 Tesla_P100_PCIE_16GB Batch Size = 1 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 Percentage Model Information Model Latency and Throughput Tesla_P4 Tesla_V100_SXM2_16GB Inception_v4 MLPerf_Mobilenet_v1 MLPerf_ResNet50_v1.5 MLPerf_SSD_MobileNet_v1_300x300 MLPerf_SSD_ResNet34_1200x1200 Mask_RCNN_Inception_ResNet_v2_Atrous_COCO Mask_RCNN_Inception_v2_COCO Mask_RCNN_ResNet101_v2_Atrous_COCO Mask_RCNN_ResNet50_v2_Atrous_COCO MobileNet_v1_0.25_128 MobileNet_v1_0.25_160 MobileNet_v1_0.25_192 MobileNet_v1_0.25_224 MobileNet_v1_0.5_128 MobileNet_v1_0.5_160 MobileNet_v1_0.5_192 MobileNet_v1_0.5_224 MobileNet_v1_0.75_128 MobileNet_v1_0.75_160 MobileNet_v1_0.75_192 MobileNet_v1_0.75_224 MobileNet_v1_1.0_128 MobileNet_v1_1.0_160 MobileNet_v1_1.0_192 MobileNet_v1_1.0_224 ResNet_v1_101 ResNet_v1_152 ResNet_v1_50 ResNet_v2_101 ResNet_v2_152 ResNet_v2_50 SRGAN SSD_Inception_v2_COCO SSD_MobileNet_v1_0.75_Depth_300x300_COCO14_Sync SSD_MobileNet_v1_COCO SSD_MobileNet_v1_FPN_Shared_Box_Predictor_640x640_COCO14_Sync SSD_MobileNet_v1_PPN_Shared_Box_Predictor_300x300_COCO14_Sync SSD_MobileNet_v2_COCO VGG16 VGG19GPU Kernel Information Aggregated by ModelSearch:model_duration (us)model_gpu_duration (us)model_flopsmodel_dram_read_bytesmodel_dram_write_bytesmodel_achieved_occupancy (%)model_arithmetic_intensity (flops/byte)model_arithmetic_throughput (GFlops)model_memory_boundmodel_duration (us)model_gpu_duration (us)model_flopsmodel_dram_read_bytesmodel_dram_write_bytesmodel_achieved_occupancy (%)model_arithmetic_intensity (flops/byte)model_arithmetic_throughput (GFlops)model_memory_bound17685.0016491.84110459955800.000.000.000.00669.79trueShowing 1 to 1 of 1 entries Download as CSVGPU Kernel Achieved Occupancy per Layer GPU Kernel Information Aggregated by Name