In this section, the performance of several models is provided for reference. The results shown in the following table were measured on a Xilinx® ZCU102 board with three B4096 cores with 6 threads running at 287 MHz. A complete listing of Xilinx® Model Zoo performance for the ZCU102, ZCU104 and Kria KV260 is available here: https://github.com/Xilinx/Vitis-AI/tree/master/model_zoo#model-performance
Network Model | Workload (GOPs per image) | Input Image Resolution | Accuracy (DPUCZDX8G) 2 | Frames per second (FPS) |
---|---|---|---|---|
Inception-v1 | 3.16 | 224*224 | Top-1: 0.6984 | 472.5 |
ResNet50 | 7.7 | 224*224 | Top-1: 0.7334 | 194.1 |
MobileNet_v2 | 0.59 | 224*224 | Top-1: 0.6349 | 747.3 |
SSD_ADAS_VEHICLE 1 | 6.3 | 480*360 | mAP: 0.4261 | 297 |
SSD_ADAS_PEDESTRIAN 1 | 5.9 | 640*360 | mAP: 0.5968 | 278.3 |
SSD_MobileNet_v2 | 6.57 | 480*360 | mAP: 0.2931 | 113.3 |
YOLO-V3-VOC | 65.42 | 416*416 | mAP: 0.8127 | 34.7 |
YOLO-V3_ADAS 1 | 5.46 | 512*256 | mAP: 0.5305 | 272.6 |
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