Task type	Topology name	Framework	Dataset	Accuracy type	OpenVINO DLDT CPU FP32 INT8 GPU FP32 FP16 MYRIAD FP16
classification	alexnet caffenet densenet-121 densenet-161 densenet-169 densenet-201 densenet-121-tf densenet-169-tf efficientnet-b0 efficientnet-b0_auto_aug efficientnet-b0-pytorch efficientnet-b5 efficientnet-b5-pytorch efficientnet-b7-pytorch efficientnet-b7_auto_aug googlenet-v1 googlenet-v2 googlenet-v3 googlenet-v3-pytorch googlenet-v4-tf googlenet-v1-tf inception-resnet-v2-tf mobilenet-v1-0.25-128 mobilenet-v1-0.50-160 mobilenet-v1-0.50-224 mobilenet-v1-1.0-224 mobilenet-v1-1.0-224-tf mobilenet-v2 mobilenet-v2-pytorch mobilenet-v2-1.4-224 mobilenet-v2-1.0-224 resnet-50-tf resnet-50-pytorch resnet-18-pytorch se-inception squeezenet1.0 squeezenet1.1 vgg16 vgg19 squeezenet1.1-caffe2 resnet-50-caffe2 vgg19-caffe2 densenet-121-caffe2 googlenet-v2-tf mobilenet-v3-large-1.0-224-tf mobilenet-v3-small-1.0-224-tf octave-densenet-121-0.125 octave-resnet-26-0.25 octave-resnet-50-0.125 octave-resnet-101-0.125 octave-resnet-200-0.125 octave-resnext-50-0.25 octave-resnext-101-0.25 octave-se-resnet-50-0.125 se-resnet-101 se-resnet-152	Caffe Caffe Caffe Caffe Caffe Caffe TensorFlow TensorFlow TensorFlow TensorFlow PyTorch TensorFlow PyTorch PyTorch TensorFlow Caffe Caffe TensorFlow PyTorch TensorFlow TensorFlow TensorFlow TensorFlow TensorFlow TensorFlow Caffe TensorFlow Caffe PyTorch TensorFlow TensorFlow TensorFlow PyTorch PyTorch Caffe Caffe Caffe Caffe Caffe Caffe2 Caffe2 Caffe2 Caffe2 TensorFlow TensorFlow TensorFlow MXNet MXNet MXNet MXNet MXNet MXNet MXNet MXNet Caffe Caffe	ImageNet ImageNet ImageNet ImageNet ImageNet ImageNet ImageNet ImageNet ImageNet ImageNet ImageNet ImageNet ImageNet ImageNet ImageNet ImageNet ImageNet ImageNet ImageNet ImageNet ImageNet ImageNet ImageNet ImageNet ImageNet ImageNet ImageNet ImageNet ImageNet ImageNet ImageNet ImageNet ImageNet ImageNet ImageNet ImageNet ImageNet ImageNet ImageNet ImageNet ImageNet ImageNet ImageNet ImageNet ImageNet ImageNet ImageNet ImageNet ImageNet ImageNet ImageNet ImageNet ImageNet ImageNet ImageNet ImageNet	accuracy@top1 accuracy@top5 accuracy@top1 accuracy@top5 accuracy@top1 accuracy@top5 accuracy@top1 accuracy@top5 accuracy@top1 accuracy@top5 accuracy@top1 accuracy@top5 accuracy@top1 accuracy@top5 accuracy@top1 accuracy@top5 accuracy@top1 accuracy@top5 accuracy@top1 accuracy@top5 accuracy@top1 accuracy@top5 accuracy@top1 accuracy@top5 accuracy@top1 accuracy@top5 accuracy@top1 accuracy@top5 accuracy@top1 accuracy@top5 accuracy@top1 accuracy@top5 accuracy@top1 accuracy@top5 accuracy@top1 accuracy@top5 accuracy@top1 accuracy@top5 accuracy@top1 accuracy@top5 accuracy@top1 accuracy@top5 accuracy@top1 accuracy@top5 accuracy@top1 accuracy@top5 accuracy@top1 accuracy@top5 accuracy@top1 accuracy@top5 accuracy@top1 accuracy@top5 accuracy@top1 accuracy@top5 accuracy@top1 accuracy@top5 accuracy@top1 accuracy@top5 accuracy@top1 accuracy@top5 accuracy@top1 accuracy@top5 accuracy@top1 accuracy@top5 accuracy@top1 accuracy@top5 accuracy@top1 accuracy@top5 accuracy@top1 accuracy@top5 accuracy@top1 accuracy@top5 accuracy@top1 accuracy@top5 accuracy@top1 accuracy@top5 accuracy@top1 accuracy@top5 accuracy@top1 accuracy@top5 accuracy@top1 accuracy@top5 accuracy@top1 accuracy@top5 accuracy@top1 accuracy@top5 accuracy@top1 accuracy@top5 accuracy@top1 accuracy@top5 accuracy@top1 accuracy@top5 accuracy@top1 accuracy@top5 accuracy@top1 accuracy@top5 accuracy@top1 accuracy@top5 accuracy@top1 accuracy@top5 accuracy@top1 accuracy@top5 accuracy@top1 accuracy@top5 accuracy@top1 accuracy@top5 accuracy@top1 accuracy@top5 accuracy@top1 accuracy@top5 accuracy@top1 accuracy@top5	56.60% 79.81% N/A N/A 56.72% 79.91% N/A N/A 74.41% 92.14% N/A N/A 77.55% 93.92% N/A N/A 76.10% 93.11% N/A N/A 76.88% 93.55% N/A N/A 74.47% 92.13% N/A N/A 76.14% 93.12% N/A N/A 75.69% 92.76% N/A N/A 76.42% 93.04% N/A N/A 76.91% 93.21% N/A N/A 83.32% 96.66% N/A N/A 83.69% 96.71% N/A N/A 84.42% 96.91% N/A N/A 84.68% 97.09% N/A N/A 68.92% 89.14% N/A N/A 72.03% 90.86% N/A N/A 77.89% 93.80% N/A N/A 77.69% 93.70% N/A N/A 80.21% 95.20% N/A N/A 69.81% 89.61% N/A N/A 77.82% 94.03% N/A N/A 41.55% 66.35% N/A N/A 59.14% 81.88% N/A N/A 63.06% 84.94% N/A N/A 69.49% 89.24% N/A N/A 71.11% 89.88% N/A N/A 71.23% 90.18% N/A N/A 71.88% 90.30% N/A N/A 74.88% 92.36% N/A N/A 71.85% 90.69% N/A N/A 76.44% 93.07% N/A N/A 76.13% 92.86% N/A N/A 69.76% 89.08% N/A N/A 75.99% 92.97% N/A N/A 57.67% 80.39% N/A N/A 58.38% 81.01% N/A N/A 70.96% 89.88% N/A N/A 71.06% 89.83% N/A N/A 56.49% 79.58% N/A N/A 76.38% 93.19% N/A N/A 71.06% 89.83% N/A N/A 74.90% 92.19% N/A N/A 74.09% 91.80% N/A N/A 75.30% 92.62% N/A N/A 67.36% 87.44% N/A N/A 76.06% 93.04% N/A N/A 76.08% 92.58% N/A N/A 78.19% 93.87% N/A N/A 79.18% 94.43% N/A N/A 80.01% 94.87% N/A N/A 78.76% 94.17% N/A N/A 79.55% 94.44% N/A N/A 78.69% 94.11% N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A 56.60% 79.81% 56.61% 79.81% 56.72% 79.91% 56.69% 79.93% 74.41% 92.14% 74.44% 92.12% 77.55% 93.92% 77.56% 93.92% 76.10% 93.11% 76.07% 93.08% 76.88% 93.55% 76.88% 93.55% 74.47% 92.13% 74.47% 92.12% 76.14% 93.12% 76.14% 93.11% 75.69% 92.76% 75.72% 92.76% 76.42% 93.04% 76.43% 93.06% 76.91% 93.21% 76.91% 93.21% 83.32% 96.66% 83.33% 96.66% 83.69% 96.71% 83.67% 96.71% 84.42% 96.91% 84.43% 96.91% 84.68% 97.09% 84.70% 97.08% 68.92% 89.14% 68.94% 89.14% 72.03% 90.86% 72.01% 90.84% 77.89% 93.80% 77.89% 93.81% 77.69% 93.70% 77.66% 93.69% 80.21% 95.20% 80.19% 95.22% 69.81% 89.61% 69.80% 89.59% 77.82% 94.03% 77.80% 94.02% 41.55% 66.35% 41.46% 66.31% 59.14% 81.88% 59.09% 81.80% 63.06% 84.94% 63.08% 84.85% 69.49% 89.24% 69.48% 89.22% 71.11% 89.88% 71.06% 89.86% 71.23% 90.18% 71.24% 90.20% 71.88% 90.30% 71.89% 90.29% 74.88% 92.36% 74.85% 92.38% 71.85% 90.69% 71.84% 90.69% 76.44% 93.07% 76.44% 93.09% 76.13% 92.86% 76.10% 92.86% 69.76% 89.08% 69.71% 89.08% 75.99% 92.97% 75.99% 92.94% 57.67% 80.39% 57.64% 80.41% 58.38% 81.01% 58.37% 81.03% 70.96% 89.88% 71.00% 89.88% 71.06% 89.83% 71.07% 89.84% 56.49% 79.58% 56.47% 79.57% 76.38% 93.19% 76.38% 93.18% 71.06% 89.83% 71.07% 89.84% 74.90% 92.19% 74.90% 92.19% 74.09% 91.80% 74.11% 91.79% 75.30% 92.62% 75.28% 92.64% 67.36% 87.45% 67.33% 87.42% 76.06% 93.04% 76.09% 92.99% 76.08% 92.58% 76.07% 92.58% 78.19% 93.86% 78.19% 93.89% 79.18% 94.43% 79.18% 94.42% 80.01% 94.87% 80.00% 94.85% 78.76% 94.18% 78.76% 94.16% 79.56% 94.44% 79.54% 94.42% 78.69% 94.11% 78.51% 94.07% 78.24% 94.21% 78.24% 94.24% 78.51% 94.45% 78.50% 94.47% 56.59% 79.79% 56.72% 79.90% 74.47% 92.11% 77.60% 93.94% 76.15% 93.10% 76.91% 93.54% 74.51% 92.08% 76.12% 92.98% 75.59% 92.72% 76.36% 93.03% 76.90% 93.18% 83.31% 96.66% 83.69% 96.68% 84.42% 96.90% 84.67% 97.06% 68.91% 89.12% 72.02% 90.76% 77.80% 93.76% 77.70% 93.69% 80.03% 95.10% 69.82% 89.61% 77.60% 93.97% 41.33% 66.23% 59.14% 81.91% 63.12% 84.96% 69.45% 89.18% 71.06% 89.85% 71.26% 90.19% 71.64% 90.29% 74.94% 92.37% 71.82% 90.63% 76.46% 93.01% 76.08% 92.87% 69.72% 89.07% 76.02% 92.94% 57.64% 80.40% 58.39% 81.01% 70.94% 89.84% 71.09% 89.82% 56.48% 79.56% 76.40% 93.08% 71.09% 89.82% 74.87% 92.19% 74.02% 91.83% 75.11% 92.53% 67.22% 87.38% 76.08% 92.94% 76.01% 92.48% 78.18% 93.83% 79.21% 94.34% 80.08% 94.85% 78.80% 94.04% 79.68% 94.38% 78.61% 94.01% 78.23% 94.22% 78.51% 94.45%
semantic segmentation	deeplabv3	TensorFlow	VOC2012	mean_iou	66.85% N/A 66.85% 66.83% 66.84%
instance segmentation	mask_rcnn_inception_resnet_v2_atrous_coco mask_rcnn_inception_v2_coco mask_rcnn_resnet50_atrous_coco mask_rcnn_resnet101_atrous_coco	TensorFlow TensorFlow TensorFlow TensorFlow	MS COCO MS COCO MS COCO MS COCO	coco_orig_precision coco_orig_segm_precision coco_orig_precision coco_orig_segm_precision coco_orig_precision coco_orig_segm_precision coco_orig_precision coco_orig_segm_precision	39.85% 35.36% N/A N/A 27.12% 21.47% N/A N/A 29.73% 27.45% N/A N/A 34.87% 31.23% N/A N/A 39.85% 35.36% 39.86% 35.38% 27.12% 21.47% 27.12% 21.47% 29.73% 27.45% 29.84% 27.53% 34.87% 31.23% 34.87% 31.23% N/A N/A N/A N/A N/A N/A N/A N/A
object detection	faster_rcnn_inception_resnet_v2_atrous_coco faster_rcnn_inception_v2_coco faster_rcnn_resnet50_coco faster_rcnn_resnet101_coco	TensorFlow TensorFlow TensorFlow TensorFlow	MS COCO MS COCO MS COCO MS COCO	coco_precision coco_precision coco_precision coco_precision	40.69% N/A 26.24% N/A 31.10% N/A 35.71% N/A 40.69% 40.61% 26.24% 26.22% 31.10% 31.10% 35.71% 35.82% N/A 26.21% 31.09% 35.79%
detection	ssd300 ssd512 ssd_mobilenet_v1_coco mobilenet-ssd ssd_mobilenet_v1_fpn_coco ssd_mobilenet_v2_coco yolo-v1-tiny-tf yolo-v2-tiny-tf yolo-v2-tf ssd_resnet50_v1_fpn_coco	Caffe Caffe TensorFlow Caffe TensorFlow TensorFlow TensorFlow.js TensorFlow.js TensorFlow.js TensorFlow	VOC2012 VOC2012 MS COCO VOC2012 MS COCO MS COCO VOC2012 VOC2012 VOC2012 MS COCO	map map coco_precision map coco_precision coco_precision map coco_precision map coco_precision map coco_precision	85.08% N/A 90.39% N/A 23.33% N/A 79.84% N/A 35.56% N/A 24.95% N/A 72.16% N/A 29.11% 27.35% N/A N/A 56.50% 53.15% N/A N/A 38.46% N/A 85.07% 85.07% 90.39% 90.39% 23.33% 23.32% 79.84% 66.73% 35.56% 35.61% 24.95% 24.94% 72.16% 72.16% 29.11% 27.35% 29.11% 27.35% 56.50% 53.15% 56.40% 53.14% 38.46% 38.58% 85.07% 90.39% 23.32% 66.73% 35.61% 24.94% 72.16% 29.11% 27.35% 56.40% 53.14% 38.37%