Appendix ------------ Inference Time Table for Models of Different Sizes ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Instance Segmentation Model ******************************** .. list-table:: :header-rows: 1 * - Model Type - Mode Type - Hardware - Image Resolution - Inference Time - Memory Usage（Total12288） * - Instance Segmentation - Ultra Fast - DaoAI World Server - RTX 4080 - 1024 - 23ms - * - Instance Segmentation - Ultra Fast - DaoAI World Server - RTX 4080 - 512 - 33ms - * - Instance Segmentation - Ultra Fast - DaoAI World Server - RTX 4080 - 256 - 21ms - * - Instance Segmentation - Ultra Fast - SDK - GPU Mode - RTX 3060 - 1024 - 54.4545 ms - 2826.24 * - Instance Segmentation - Ultra Fast - SDK - GPU Mode - RTX 3060 - 512 - 31.449 ms - 1474.56 * - Instance Segmentation - Ultra Fast - SDK - GPU Mode - RTX 3060 - 256 - 25.3044 ms - 1228.8 * - Instance Segmentation - Ultra Fast - SDK - CPU Mode - Intel(R) Core(TM) i7-14700KF - 1024 - 367.388 ms - * - Instance Segmentation - Ultra Fast - SDK - CPU Mode - Intel(R) Core(TM) i7-14700KF - 512 - 116.298 ms - * - Instance Segmentation - Ultra Fast - SDK - CPU Mode - Intel(R) Core(TM) i7-14700KF - 256 - 51.9871 ms - * - Instance Segmentation - Fast - DaoAI World Server - RTX 4080 - 1024 - 46ms - * - Instance Segmentation - Fast - DaoAI World Server - RTX 4080 - 512 - 34ms - * - Instance Segmentation - Fast - DaoAI World Server - RTX 4080 - 256 - 30ms - * - Instance Segmentation - Fast - SDK - GPU Mode - RTX 3060 - 1024 - 81.1401 ms - 4177.92 * - Instance Segmentation - Fast - SDK - GPU Mode - RTX 3060 - 512 - 34.8945 ms - 3194.88 * - Instance Segmentation - Fast - SDK - GPU Mode - RTX 3060 - 256 - 26.0753 ms - 2826.24 * - Instance Segmentation - Fast - SDK - CPU Mode - Intel(R) Core(TM) i7-14700KF - 1024 - 700.394 ms - * - Instance Segmentation - Fast - SDK - CPU Mode - Intel(R) Core(TM) i7-14700KF - 512 - 235.015 ms - * - Instance Segmentation - Fast - SDK - CPU Mode - Intel(R) Core(TM) i7-14700KF - 256 - 84.5746 ms - * - Instance Segmentation - Accurate - DaoAI World Server - RTX 4080 - 1024 - 46ms - * - Instance Segmentation - Accurate - DaoAI World Server - RTX 4080 - 512 - 35ms - * - Instance Segmentation - Accurate - DaoAI World Server - RTX 4080 - 256 - 33ms - * - Instance Segmentation - Accurate - SDK - GPU Mode - RTX 3060 - 1024 - 219.317 ms - 1597 * - Instance Segmentation - Accurate - SDK - GPU Mode - RTX 3060 - 512 - 178.71 ms - 614 * - Instance Segmentation - Accurate - SDK - GPU Mode - RTX 3060 - 256 - 180.052 ms - 491 * - Instance Segmentation - Accurate - SDK - CPU Mode - Intel(R) Core(TM) i7-14700KF - 1024 - 599.197 ms - * - Instance Segmentation - Accurate - SDK - CPU Mode - Intel(R) Core(TM) i7-14700KF - 512 - 249.069 ms - * - Instance Segmentation - Accurate - SDK - CPU Mode - Intel(R) Core(TM) i7-14700KF - 256 - 182.579 ms - * - Instance Segmentation - Rotated Accuracy - DaoAI World Server - RTX 4080 - 1024 - 95ms - * - Instance Segmentation - Rotated Accuracy - DaoAI World Server - RTX 4080 - 512 - 88ms - * - Instance Segmentation - Rotated Accuracy - DaoAI World Server - RTX 4080 - 256 - 82ms - * - Instance Segmentation - Rotated Accuracy - SDK - GPU Mode - RTX 3060 - 1024 - 428.867 ms - 5529.6 * - Instance Segmentation - Rotated Accuracy - SDK - GPU Mode - RTX 3060 - 512 - 379.047 ms - 3440.64 * - Instance Segmentation - Rotated Accuracy - SDK - GPU Mode - RTX 3060 - 256 - 377.128 ms - 3317.76 * - Instance Segmentation - Rotated Accuracy - SDK - CPU Mode - Intel(R) Core(TM) i7-14700KF - 1024 - 618.77 ms - * - Instance Segmentation - Rotated Accuracy - SDK - CPU Mode - Intel(R) Core(TM) i7-14700KF - 512 - 620.542 ms - * - Instance Segmentation - Rotated Accuracy - SDK - CPU Mode - Intel(R) Core(TM) i7-14700KF - 256 - 614.017 ms - Keypoint Detection Model ****************************** .. list-table:: :header-rows: 1 * - Model Type - Mode Type - Hardware - Image Resolution - Inference Time - Memory Usage（Total12288） * - Keypoint Detection - Ultra Fast - DaoAI World Server - RTX 4080 - 1024 - 32ms - * - Keypoint Detection - Ultra Fast - DaoAI World Server - RTX 4080 - 512 - 20ms - * - Keypoint Detection - Ultra Fast - DaoAI World Server - RTX 4080 - 256 - 17ms - * - Keypoint Detection - Ultra Fast - SDK - GPU Mode - RTX 3060 - 1024 - 47.5819 ms - 4300.8 * - Keypoint Detection - Ultra Fast - SDK - GPU Mode - RTX 3060 - 512 - 19.668 ms - 1720.32 * - Keypoint Detection - Ultra Fast - SDK - GPU Mode - RTX 3060 - 256 - 14.3904 ms - 1228.8 * - Keypoint Detection - Ultra Fast - SDK - CPU Mode - Intel(R) Core(TM) i7-14700KF - 1024 - 379.542 ms - * - Keypoint Detection - Ultra Fast - SDK - CPU Mode - Intel(R) Core(TM) i7-14700KF - 512 - 142.759 ms - * - Keypoint Detection - Ultra Fast - SDK - CPU Mode - Intel(R) Core(TM) i7-14700KF - 256 - 39.8093 ms - * - Keypoint Detection - Fast - DaoAI World Server - RTX 4080 - 1024 - 32ms - * - Keypoint Detection - Fast - DaoAI World Server - RTX 4080 - 512 - 21.35ms - * - Keypoint Detection - Fast - DaoAI World Server - RTX 4080 - 256 - 18.12ms - * - Keypoint Detection - Fast - SDK - GPU Mode - RTX 3060 - 1024 - 77.4276 ms - 4670 * - Keypoint Detection - Fast - SDK - GPU Mode - RTX 3060 - 512 - 28.7131 ms - 1843.2 * - Keypoint Detection - Fast - SDK - GPU Mode - RTX 3060 - 256 - 18.2597 ms - 1597.44 * - Keypoint Detection - Fast - SDK - CPU Mode - Intel(R) Core(TM) i7-14700KF - 1024 - 673.396 ms - * - Keypoint Detection - Fast - SDK - CPU Mode - Intel(R) Core(TM) i7-14700KF - 512 - 232.619 ms - * - Keypoint Detection - Fast - SDK - CPU Mode - Intel(R) Core(TM) i7-14700KF - 256 - 83.9978 ms - * - Keypoint Detection - Accurate - DaoAI World Server - RTX 4080 - 1024 - 45ms - * - Keypoint Detection - Accurate - DaoAI World Server - RTX 4080 - 512 - 33ms - * - Keypoint Detection - Accurate - DaoAI World Server - RTX 4080 - 256 - 31.91ms - * - Keypoint Detection - Accurate - SDK - GPU Mode - RTX 3060 - 1024 - 77.2057 ms - 4055 * - Keypoint Detection - Accurate - SDK - GPU Mode - RTX 3060 - 512 - 40.1725 ms - 1966.08 * - Keypoint Detection - Accurate - SDK - GPU Mode - RTX 3060 - 256 - 27.7136 ms - 1474.56 * - Keypoint Detection - Accurate - SDK - CPU Mode - Intel(R) Core(TM) i7-14700KF - 1024 - 592.23 ms - * - Keypoint Detection - Accurate - SDK - CPU Mode - Intel(R) Core(TM) i7-14700KF - 512 - 281.312 ms - * - Keypoint Detection - Accurate - SDK - CPU Mode - Intel(R) Core(TM) i7-14700KF - 256 - 216.104 ms - * - Keypoint Detection - Rotated Accuracy - DaoAI World Server - RTX 4080 - 1024 - 108ms - * - Keypoint Detection - Rotated Accuracy - DaoAI World Server - RTX 4080 - 512 - 84ms - * - Keypoint Detection - Rotated Accuracy - DaoAI World Server - RTX 4080 - 256 - 78ms - * - Keypoint Detection - Rotated Accuracy - SDK - GPU Mode - RTX 3060 - 1024 - 251.027 ms - 4915 * - Keypoint Detection - Rotated Accuracy - SDK - GPU Mode - RTX 3060 - 512 - 198.44ms - 4300.8 * - Keypoint Detection - Rotated Accuracy - SDK - GPU Mode - RTX 3060 - 256 - 202.763 ms - 4300.08 * - Keypoint Detection - Rotated Accuracy - SDK - CPU Mode - Intel(R) Core(TM) i7-14700KF - 1024 - 617.269 ms - * - Keypoint Detection - Rotated Accuracy - SDK - CPU Mode - Intel(R) Core(TM) i7-14700KF - 512 - 603.318 ms - * - Keypoint Detection - Rotated Accuracy - SDK - CPU Mode - Intel(R) Core(TM) i7-14700KF - 256 - 588.54 ms - Object Detection Model *********************** .. list-table:: :header-rows: 1 * - Model Type - Mode Type - Hardware - Image Resolution - Inference Time - Memory Usage（Total12288） * - Object Detection - Ultra Fast - DaoAI World Server - RTX 4080 - 1024 - 28ms - * - Object Detection - Ultra Fast - DaoAI World Server - RTX 4080 - 512 - 16ms - * - Object Detection - Ultra Fast - DaoAI World Server - RTX 4080 - 256 - 9ms - * - Object Detection - Ultra Fast - SDK - GPU Mode - RTX 3060 - 1024 - 38.86ms - 3440.6 * - Object Detection - Ultra Fast - SDK - GPU Mode - RTX 3060 - 512 - 17.42ms - 1351.68 * - Object Detection - Ultra Fast - SDK - GPU Mode - RTX 3060 - 256 - 13.88ms - 860.16 * - Object Detection - Ultra Fast - SDK - CPU Mode - Intel(R) Core(TM) i7-14700KF - 1024 - 623.744 ms - * - Object Detection - Ultra Fast - SDK - CPU Mode - Intel(R) Core(TM) i7-14700KF - 512 - 588.992 ms - * - Object Detection - Ultra Fast - SDK - CPU Mode - Intel(R) Core(TM) i7-14700KF - 256 - 635.231 ms - * - Object Detection - Fast - DaoAI World Server - RTX 4080 - 1024 - 39ms - * - Object Detection - Fast - DaoAI World Server - RTX 4080 - 512 - 227ms - * - Object Detection - Fast - DaoAI World Server - RTX 4080 - 256 - 24ms - * - Object Detection - Fast - SDK - GPU Mode - RTX 3060 - 1024 - 62.0628 ms - 4546.56 * - Object Detection - Fast - SDK - GPU Mode - RTX 3060 - 512 - 29.1506 ms - 1843.2 * - Object Detection - Fast - SDK - GPU Mode - RTX 3060 - 256 - 24.1712 ms - 1720 * - Object Detection - Fast - SDK - CPU Mode - Intel(R) Core(TM) i7-14700KF - 1024 - 591.486 ms - * - Object Detection - Fast - SDK - CPU Mode - Intel(R) Core(TM) i7-14700KF - 512 - 609.078 ms - * - Object Detection - Fast - SDK - CPU Mode - Intel(R) Core(TM) i7-14700KF - 256 - 582.923 ms - * - Object Detection - Accurate - DaoAI World Server - RTX 4080 - 1024 - 39ms - * - Object Detection - Accurate - DaoAI World Server - RTX 4080 - 512 - 30ms - * - Object Detection - Accurate - DaoAI World Server - RTX 4080 - 256 - 28ms - * - Object Detection - Accurate - SDK - GPU Mode - RTX 3060 - 1024 - 71.9821 ms - 1169 * - Object Detection - Accurate - SDK - GPU Mode - RTX 3060 - 512 - 67.6864 ms - 737.3 * - Object Detection - Accurate - SDK - GPU Mode - RTX 3060 - 256 - 31.4061 ms - 737.3 * - Object Detection - Accurate - SDK - CPU Mode - Intel(R) Core(TM) i7-14700KF - 1024 - 603.479 ms - * - Object Detection - Accurate - SDK - CPU Mode - Intel(R) Core(TM) i7-14700KF - 512 - 614.083 ms - * - Object Detection - Accurate - SDK - CPU Mode - Intel(R) Core(TM) i7-14700KF - 256 - 611.64 ms - Classification Model ********************** .. list-table:: :header-rows: 1 * - Model Type - Mode Type - Hardware - Image Resolution - Inference Time - Memory Usage（Total12288） * - Classification Model - Fast - DaoAI World Server - RTX 4080 - 512 - 31ms - * - Classification Model - Fast - DaoAI World Server - RTX 4080 - 256 - 28ms - * - Classification Model - Fast - SDK - GPU Mode - RTX 3060 - 512 - 28.3116 ms - 1050 * - Classification Model - Fast - SDK - GPU Mode - RTX 3060 - 256 - 25.7988 ms - 860 * - Classification Model - Fast - SDK - CPU Mode - Intel(R) Core(TM) i7-14700KF - 512 - 593.157 ms - * - Classification Model - Fast - SDK - CPU Mode - Intel(R) Core(TM) i7-14700KF - 256 - 623.913 ms - * - Classification Model - Accurate - DaoAI World Server - RTX 4080 - 512 - 28ms - * - Classification Model - Accurate - DaoAI World Server - RTX 4080 - 256 - 28ms - * - Classification Model - Accurate - SDK - GPU Mode - RTX 3060 - 512 - 41.8673 ms - 1050 * - Classification Model - Accurate - SDK - GPU Mode - RTX 3060 - 256 - 29.1118 ms - 966 * - Classification Model - Accurate - SDK - CPU Mode - Intel(R) Core(TM) i7-14700KF - 512 - 623.476 ms - * - Classification Model - Accurate - SDK - CPU Mode - Intel(R) Core(TM) i7-14700KF - 256 - 607.357 ms - Unsupervised Defect Segmentation Model ****************************************** .. list-table:: :header-rows: 1 * - Model Type - Mode Type - Hardware - Image Resolution - Inference Time - Memory Usage（Total12288） * - Unsupervised Defect Segmentation - Accurate - DaoAI World Server - RTX 4080 - 1024 - 30ms - * - Unsupervised Defect Segmentation - Accurate - DaoAI World Server - RTX 4080 - 512 - 21ms - * - Unsupervised Defect Segmentation - Accurate - DaoAI World Server - RTX 4080 - 256 - 16ms - * - Unsupervised Defect Segmentation - Accurate - SDK - GPU Mode - RTX 3060 - 1024 - 64.5152 ms - 1228.8 * - Unsupervised Defect Segmentation - Accurate - SDK - GPU Mode - RTX 3060 - 512 - 59.1265 ms - 1105.92 * - Unsupervised Defect Segmentation - Accurate - SDK - GPU Mode - RTX 3060 - 256 - 31.1374 ms - 987 * - Unsupervised Defect Segmentation - Accurate - SDK - CPU Mode - Intel(R) Core(TM) i7-14700KF - 1024 - 69.0775 ms - * - Unsupervised Defect Segmentation - Accurate - SDK - CPU Mode - Intel(R) Core(TM) i7-14700KF - 512 - 67.405 ms - * - Unsupervised Defect Segmentation - Accurate - SDK - CPU Mode - Intel(R) Core(TM) i7-14700KF - 256 - 53.719 ms - Supervised Defect Segmentation Model ******************************************* .. list-table:: :header-rows: 1 * - Model Type - Mode Type - Hardware - Image Resolution - Inference Time - Memory Usage（Total12288） * - Supervised Defect Segmentation - Fast - DaoAI World Server - RTX 4080 - 1024 - 91ms - * - Supervised Defect Segmentation - Fast - DaoAI World Server - RTX 4080 - 512 - 76ms - * - Supervised Defect Segmentation - Fast - DaoAI World Server - RTX 4080 - 256 - 33ms - * - Supervised Defect Segmentation - Fast - SDK - GPU Mode - RTX 3060 - 1024 - 96.6828 ms - 2211.84 * - Supervised Defect Segmentation - Fast - SDK - GPU Mode - RTX 3060 - 512 - 59.9453 ms - 491.5 * - Supervised Defect Segmentation - Fast - SDK - GPU Mode - RTX 3060 - 256 - 55.2014 ms - 491.52 * - Supervised Defect Segmentation - Fast - SDK - CPU Mode - Intel(R) Core(TM) i7-14700KF - 1024 - 583.609 ms - * - Supervised Defect Segmentation - Fast - SDK - CPU Mode - Intel(R) Core(TM) i7-14700KF - 512 - 597.976 ms - * - Supervised Defect Segmentation - Fast - SDK - CPU Mode - Intel(R) Core(TM) i7-14700KF - 256 - 613.505 ms - * - Supervised Defect Segmentation - Accurate - DaoAI World Server - RTX 4080 - 1024 - 228ms - * - Supervised Defect Segmentation - Accurate - DaoAI World Server - RTX 4080 - 512 - 104ms - * - Supervised Defect Segmentation - Accurate - DaoAI World Server - RTX 4080 - 256 - 73ms - * - Supervised Defect Segmentation - Accurate - SDK - GPU Mode - RTX 3060 - 1024 - 224.211 ms - 4096 * - Supervised Defect Segmentation - Accurate - SDK - GPU Mode - RTX 3060 - 512 - 112.129 ms - 1105.92 * - Supervised Defect Segmentation - Accurate - SDK - GPU Mode - RTX 3060 - 256 - 75.8281 ms - 614.4 * - Supervised Defect Segmentation - Accurate - SDK - CPU Mode - Intel(R) Core(TM) i7-14700KF - 1024 - 560.536 ms - * - Supervised Defect Segmentation - Accurate - SDK - CPU Mode - Intel(R) Core(TM) i7-14700KF - 512 - 602.581 ms - * - Supervised Defect Segmentation - Accurate - SDK - CPU Mode - Intel(R) Core(TM) i7-14700KF - 256 - 601.867 ms - OCRModel ***************** .. list-table:: :header-rows: 1 * - Model Type - Mode Type - Hardware - Image Resolution - Inference Time - Memory Usage（Total12288） * - OCR - Accurate - DaoAI World Server - RTX 4080 - 1024 - 55ms - * - OCR - Accurate - DaoAI World Server - RTX 4080 - 512 - 40ms - * - OCR - Accurate - DaoAI World Server - RTX 4080 - 256 - 29ms - * - OCR - Accurate - SDK - GPU Mode - RTX 3060 - 1024 - 60.8318 ms - 1197 * - OCR - Accurate - SDK - GPU Mode - RTX 3060 - 512 - 38.3106 ms - 1027 * - OCR - Accurate - SDK - GPU Mode - RTX 3060 - 256 - 27.7074 ms - 972 * - OCR - Accurate - SDK - CPU Mode - Intel(R) Core(TM) i7-14700KF - 1024 - 616.513 ms - * - OCR - Accurate - SDK - CPU Mode - Intel(R) Core(TM) i7-14700KF - 512 - 619.354 ms - * - OCR - Accurate - SDK - CPU Mode - Intel(R) Core(TM) i7-14700KF - 256 - 603.944 ms - Localization Model ***************************** .. list-table:: :header-rows: 1 * - Model Type - Mode Type - Hardware - Image Resolution - Inference Time - Memory Usage（Total12288） * - Localization - Fast - DaoAI World Server - RTX 4080 - 1024 - 48ms - * - Localization - Fast - DaoAI World Server - RTX 4080 - 512 - 34ms - * - Localization - Fast - DaoAI World Server - RTX 4080 - 256 - 21ms - * - Localization - Fast - SDK - GPU Mode - RTX 3060 - 1024 - 90.5635 ms - 4546.56 * - Localization - Fast - SDK - GPU Mode - RTX 3060 - 512 - 34.7482 ms - 3686.4 * - Localization - Fast - SDK - GPU Mode - RTX 3060 - 256 - 25.3522 ms - 1597.44 * - Localization - Fast - SDK - CPU Mode - Intel(R) Core(TM) i7-14700KF - 1024 - 615.025 ms - * - Localization - Fast - SDK - CPU Mode - Intel(R) Core(TM) i7-14700KF - 512 - 573.595 ms - * - Localization - Fast - SDK - CPU Mode - Intel(R) Core(TM) i7-14700KF - 256 - 617.739 ms - * - Localization - Accurate - DaoAI World Server - RTX 4080 - 1024 - 74ms - * - Localization - Accurate - DaoAI World Server - RTX 4080 - 512 - 62ms - * - Localization - Accurate - DaoAI World Server - RTX 4080 - 256 - 48ms - * - Localization - Accurate - SDK - GPU Mode - RTX 3060 - 1024 - 88.7166 ms - 5406.72 * - Localization - Accurate - SDK - GPU Mode - RTX 3060 - 512 - 48.5516 ms - 3809.28 * - Localization - Accurate - SDK - GPU Mode - RTX 3060 - 256 - 39.5805 ms - 3072 * - Localization - Accurate - SDK - CPU Mode - Intel(R) Core(TM) i7-14700KF - 1024 - 619.68 ms - * - Localization - Accurate - SDK - CPU Mode - Intel(R) Core(TM) i7-14700KF - 512 - 636.418 ms - * - Localization - Accurate - SDK - CPU Mode - Intel(R) Core(TM) i7-14700KF - 256 - 569.031 ms - * - Localization - Rotated Accuracy - DaoAI World Server - RTX 4080 - 1024 - 106ms - * - Localization - Rotated Accuracy - DaoAI World Server - RTX 4080 - 512 - 91ms - * - Localization - Rotated Accuracy - DaoAI World Server - RTX 4080 - 256 - 71.51ms - * - Localization - Rotated Accuracy - SDK - GPU Mode - RTX 3060 - 1024 - 273.963 ms - 5529.6 * - Localization - Rotated Accuracy - SDK - GPU Mode - RTX 3060 - 512 - 230.631 ms - 5249.92 * - Localization - Rotated Accuracy - SDK - GPU Mode - RTX 3060 - 256 - 208ms - 4423.68 * - Localization - Rotated Accuracy - SDK - CPU Mode - Intel(R) Core(TM) i7-14700KF - 1024 - 631.068 ms - * - Localization - Rotated Accuracy - SDK - CPU Mode - Intel(R) Core(TM) i7-14700KF - 512 - 604.437 ms - * - Localization - Rotated Accuracy - SDK - CPU Mode - Intel(R) Core(TM) i7-14700KF - 256 - 626.068 ms - Presence Detection Model ***************************** .. list-table:: :header-rows: 1 * - Model Type - Mode Type - Hardware - Image Resolution - Inference Time - Memory Usage（Total12288） * - Presence Detection - Fast - DaoAI World Server - RTX 4080 - 1024 - 36ms - * - Presence Detection - Fast - DaoAI World Server - RTX 4080 - 512 - 17ms - * - Presence Detection - Fast - DaoAI World Server - RTX 4080 - 256 - 15ms - * - Presence Detection - Fast - SDK - GPU Mode - RTX 3060 - 1024 - 84.2229 ms - 4669 * - Presence Detection - Fast - SDK - GPU Mode - RTX 3060 - 512 - 30.3674 ms - 2457 * - Presence Detection - Fast - SDK - GPU Mode - RTX 3060 - 256 - 17.2913 ms - 1720 * - Presence Detection - Fast - SDK - CPU Mode - Intel(R) Core(TM) i7-14700KF - 1024 - 580.068 ms - * - Presence Detection - Fast - SDK - CPU Mode - Intel(R) Core(TM) i7-14700KF - 512 - 590.727 ms - * - Presence Detection - Fast - SDK - CPU Mode - Intel(R) Core(TM) i7-14700KF - 256 - 598.02 ms - * - Presence Detection - Accurate - DaoAI World Server - RTX 4080 - 1024 - 32ms - * - Presence Detection - Accurate - DaoAI World Server - RTX 4080 - 512 - 24ms - * - Presence Detection - Accurate - DaoAI World Server - RTX 4080 - 256 - 23ms - * - Presence Detection - Accurate - SDK - GPU Mode - RTX 3060 - 1024 - 84.7263 ms - 1597 * - Presence Detection - Accurate - SDK - GPU Mode - RTX 3060 - 512 - 40.7123 ms - 860 * - Presence Detection - Accurate - SDK - GPU Mode - RTX 3060 - 256 - 30.9037 ms - 614 * - Presence Detection - Accurate - SDK - CPU Mode - Intel(R) Core(TM) i7-14700KF - 1024 - 621.221 ms - * - Presence Detection - Accurate - SDK - CPU Mode - Intel(R) Core(TM) i7-14700KF - 512 - 585.791 ms - * - Presence Detection - Accurate - SDK - CPU Mode - Intel(R) Core(TM) i7-14700KF - 256 - 582.264 ms - SDKAPI Documentation ~~~~~~~~~~~~~~~~~~~~~~ More detailedSDK, Function Interfaces, data structures, etc., Please refer toSDKDocumentation: `C++ SDK API Documentation <../_static/doc_C++/index.html>`_ `C# SDK API Documentation <../_static/doc_Cs/index.html>`_ `C++ Inference Client API Documentation <../_static/doc_C_client/index.html>`_ `C# Inference Client API Documentation <../_static/doc_Cs_client/index.html>`_ Code Example ~~~~~~~~~~~~~~~~~ We also provide GitHub code example above, which includes C++, C# and Python example projects, to help users quickly get started and reference。 Link: `DaoAI World SDK Desktop Demo `_ .. toctree:: :maxdepth: 1 cpp_eg cs_eg python_win_eg cpp_client cs_client auto_seg_eg batch_inference .. python_eg