Example of AI model processing time
Updated:Mar 27, 2024
Model | Processing speed (ms) ※Reference value | ||
---|---|---|---|
CV22 | CV25m | CV52 | |
mobilefacenets_fix8_112_96 | 2.0846 | 4.1692 | 0.478 |
mobilenetv1_ssd_fix8_300_300 | 6.9175 | 13.835 | 2.393 |
resnet50_fix8_224_224 | 18.7301 | 37.4602 | 6.591 |
vgg19_fix8_224_224 | 88.0988 | 176.1976 | 28.97 |
vgg16_ssd_fix8_300_300 | 122.4476 | 244.8952 | 34.76 |
yolov3_fastest_fix8_320_320 | 1.1967 | 2.3934 | 0.675 |
yolov3_mnetv2_nano_fix8_320_320 | 1.7658 | 3.5316 | 0.824 |
yolov3_fastest_xl_fix8_320_320 | 2.5402 | 5.0804 | 1.187 |
yolov3_mnetv2_lite_fix8_320_320 | 5.0584 | 10.1168 | 1.942 |
tf_yolo_v3_mixed_416_416 | 180.2604 | 360.5208 | 47.4 |
tf_deeplab_v3_fix8_513_513 | 17.236 | 34.472 | 7.322 |
bodypix_fix8_481_641 | 25.4898 | 50.9796 | 8.135 |
tf_inceptionv1_fix8_224_224 | 6.8038 | 13.6076 | 2.254 |
tf_inception_v3_fix8_299_299 | 28.917 | 57.834 | 9.373 |
tf_mobilenetv1_fix8_224_224 | 3.2801 | 6.5602 | 1.408 |
tf_mobilenetv2_fix8_224_224 | 2.4037 | 4.8074 | 1.33 |
tf_mobilenetv2_ssdlite_fix8_300_300 | 6.0922 | 12.1844 | 3.076 |
tf_efficientdet_d0_fix8_512_512 | 79.399 | 158.798 | 63.26 |
onnx_efficientnet_b0_fix8_224_224 | 11.6885 | 23.377 | 9.56 |
onnx_centernet_fix8_384_384 | 65.2046 | 130.4092 | 18.47 |
onnx_fgfd_fix8_240_320 | 0.7421 | 1.4842 | 0.434 |
onnx_retinaface_fix8_640_640 | 4.9085 | 9.817 | 1.621 |
onnx_yolov3_fix8_416_416 | 166.9117 | 333.8234 | 45.18 |
onnx_yolov3_spp_fix8_416_416 | 167.585 | 335.17 | 45.18 |
onnx_yolov3_tiny_fix8_416_416 | 13.2943 | 26.5886 | 3.873 |
onnx_yolov5s_fix8_416_416 | 21.9484 | 43.8968 | 7.101 |
onnx_yolov5m_fix8_416_416 | 60.7822 | 121.5644 | 17.42 |
onnx_yolov5l_fix8_416_416 | 130.7734 | 261.5468 | 36.56 |
onnx_yolov5x_fix8_416_416 | 239.9791 | 479.9582 | 67.72 |
onnx_fairmot_fix8_160_288 | 26.883 | 53.766 | 8.489 |