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前往新版Gitcode，体验更适合开发者的 AI 搜索 >>
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0f388dda
编写于
5月 26, 2023
作者:
F
fengyuentau
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benchmark/README.md
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0f388dda
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@@ -58,28 +58,28 @@ python benchmark.py --all --cfg_overwrite_backend_target 1
Benchmark is done with latest
`opencv-python==4.7.0.72`
and
`opencv-contrib-python==4.7.0.72`
on the following platforms. Some models are excluded because of support issues.
| Model | Task | Input Size |
[
CPU-INTEL (ms)
](
#intel-12700k
)
|
[
CPU-RPI (ms)
](
#rasberry-pi-4b
)
|
[
GPU-JETSON (ms)
](
#jetson-nano-b01
)
|
[
NPU-KV3 (ms)
](
#khadas-vim3
)
|
[
NPU-Ascend310 (ms)
](
#atlas-200-dk
)
| CPU-D1 (ms) |
|
----------------------------------------------------------| ----------------------------- | ---------- |---------------------------------|---------------------------------|-------------------------------------|------------------------------|-------------------------------------|-------------
|
|
[
YuNet
](
../models/face_detection_yunet
)
| Face Detection | 160x120 | 0.72
| 5.43 | 12.18 | 4.04 | 2.24
| 86.69 |
|
[
SFace
](
../models/face_recognition_sface
)
| Face Recognition | 112x112 | 6.04
| 78.83 | 24.88 | 46.25 | 2.66
| --- |
|
[
FER
](
../models/facial_expression_recognition/
)
| Facial Expression Recognition | 112x112 | 3.16
| 32.53 | 31.07 | 29.80 | 2.19
| --- |
|
[
LPD-YuNet
](
../models/license_plate_detection_yunet/
)
| License Plate Detection | 320x240 | 8.63
| 167.70 | 56.12 | 29.53 | 7.63
| --- |
|
[
YOLOX
](
../models/object_detection_yolox/
)
| Object Detection | 640x640 | 141.20
| 1805.87 | 388.95 | 420.98 | 28.59
| --- |
|
[
NanoDet
](
../models/object_detection_nanodet/
)
| Object Detection | 416x416 | 66.03
| 225.10 | 64.94 | 116.64 | 20.62
| --- |
|
[
DB-IC15
](
../models/text_detection_db
)
(
EN
)
| Text Detection | 640x480 | 71.03
| 1862.75 | 208.41 | --- | 17.15
| --- |
|
[
DB-TD500
](
../models/text_detection_db
)
(
EN&CN
)
| Text Detection | 640x480 | 72.31
| 1878.45 | 210.51 | --- | 17.95
| --- |
|
[
CRNN-EN
](
../models/text_recognition_crnn
)
| Text Recognition | 100x32 | 20.16
| 278.11 | 196.15 | 125.30 | ---
| --- |
|
[
CRNN-CN
](
../models/text_recognition_crnn
)
| Text Recognition | 100x32 | 23.07
| 297.48 | 239.76 | 166.79 | ---
| --- |
|
[
PP-ResNet
](
../models/image_classification_ppresnet
)
| Image Classification | 224x224 | 34.71
| 463.93 | 98.64 | 75.45 | 6.99
| --- |
|
[
MobileNet-V1
](
../models/image_classification_mobilenet
)
| Image Classification | 224x224 | 5.90
| 72.33 | 33.18 | 145.66
\*
| 5.15
| --- |
|
[
MobileNet-V2
](
../models/image_classification_mobilenet
)
| Image Classification | 224x224 | 5.97
| 66.56 | 31.92 | 146.31
\*
| 5.41
| --- |
|
[
PP-HumanSeg
](
../models/human_segmentation_pphumanseg
)
| Human Segmentation | 192x192 | 8.81
| 73.13 | 67.97 | 74.77 | 6.94
| --- |
|
[
WeChatQRCode
](
../models/qrcode_wechatqrcode
)
| QR Code Detection and Parsing | 100x100 | 1.29
| 5.71 | --- | --- | ---
| --- |
|
[
DaSiamRPN
](
../models/object_tracking_dasiamrpn
)
| Object Tracking | 1280x720 | 29.05
| 712.94 | 76.82 | --- | ---
| --- |
|
[
YoutuReID
](
../models/person_reid_youtureid
)
| Person Re-Identification | 128x256 | 30.39
| 625.56 | 90.07 | 44.61 | 5.58
| --- |
|
[
MP-PalmDet
](
../models/palm_detection_mediapipe
)
| Palm Detection | 192x192 | 6.29
| 86.83 | 83.20 | 33.81 | 5.17
| --- |
|
[
MP-HandPose
](
../models/handpose_estimation_mediapipe
)
| Hand Pose Estimation | 224x224 | 4.68
| 43.57 | 40.10 | 19.47 | 6.27
| --- |
|
[
MP-PersonDet
](
./models/person_detection_mediapipe
)
| Person Detection | 224x224 | 13.88
| 98.52 | 56.69 | --- | 16.45
| --- |
| Model | Task | Input Size |
CPU-INTEL (ms) | CPU-RPI (ms) | CPU-RV1126 (ms) | CPU-KVE2 (ms) | CPU-HSX3 (ms) | CPU-AXP (ms) | GPU-JETSON (ms) | NPU-KV3 (ms) | NPU-Ascend310 (ms
) | CPU-D1 (ms) |
|
-------------------------------------------------------- | ----------------------------- | ---------- | -------------- | ------------ | --------------- | ------------- | ------------- | ------------ | --------------- | ------------ | ------------------ | -----------
|
|
[
YuNet
](
../models/face_detection_yunet
)
| Face Detection | 160x120 | 0.72
| 5.43 | 68.89 | 2.47 | 11.04 | 98.16 | 12.18 | 4.04 | 2.24
| 86.69 |
|
[
SFace
](
../models/face_recognition_sface
)
| Face Recognition | 112x112 | 6.04
| 78.83 | 1550.71 | 33.79 | 140.83 | 2093.12 | 24.88 | 46.25 | 2.66
| --- |
|
[
FER
](
../models/facial_expression_recognition/
)
| Facial Expression Recognition | 112x112 | 3.16
| 32.53 | 604.36 | 15.99 | 64.96 | 811.32 | 31.07 | 29.80 | 2.19
| --- |
|
[
LPD-YuNet
](
../models/license_plate_detection_yunet/
)
| License Plate Detection | 320x240 | 8.63
| 167.70 | 3222.92 | 57.57 | 283.75 | 4300.13 | 56.12 | 29.53 | 7.63
| --- |
|
[
YOLOX
](
../models/object_detection_yolox/
)
| Object Detection | 640x640 | 141.20
| 1805.87 | 38359.93 | 577.93 | 2749.22 | 49994.75 | 388.95 | 420.98 | 28.59
| --- |
|
[
NanoDet
](
../models/object_detection_nanodet/
)
| Object Detection | 416x416 | 66.03
| 225.10 | 2303.55 | 118.38 | 408.16 | 3360.20 | 64.94 | 116.64 | 20.62
| --- |
|
[
DB-IC15
](
../models/text_detection_db
)
(
EN
)
| Text Detection | 640x480 | 71.03
| 1862.75 | 49065.03 | 394.77 | 1908.87 | 65681.91 | 208.41 | --- | 17.15
| --- |
|
[
DB-TD500
](
../models/text_detection_db
)
(
EN&CN
)
| Text Detection | 640x480 | 72.31
| 1878.45 | 49052.24 | 392.52 | 1922.34 | 65630.56 | 210.51 | --- | 17.95
| --- |
|
[
CRNN-EN
](
../models/text_recognition_crnn
)
| Text Recognition | 100x32 | 20.16
| 278.11 | 2230.12 | 77.51 | 464.58 | 3277.07 | 196.15 | 125.30 | ---
| --- |
|
[
CRNN-CN
](
../models/text_recognition_crnn
)
| Text Recognition | 100x32 | 23.07
| 297.48 | 2244.03 | 82.93 | 495.94 | 3330.69 | 239.76 | 166.79 | ---
| --- |
|
[
PP-ResNet
](
../models/image_classification_ppresnet
)
| Image Classification | 224x224 | 34.71
| 463.93 | 11793.09 | 178.87 | 759.81 | 15753.56 | 98.64 | 75.45 | 6.99
| --- |
|
[
MobileNet-V1
](
../models/image_classification_mobilenet
)
| Image Classification | 224x224 | 5.90
| 72.33 | 1546.16 | 32.78 | 140.60 | 2091.13 | 33.18 | 145.66
\*
| 5.15
| --- |
|
[
MobileNet-V2
](
../models/image_classification_mobilenet
)
| Image Classification | 224x224 | 5.97
| 66.56 | 1166.56 | 28.38 | 122.53 | 1583.25 | 31.92 | 146.31
\*
| 5.41
| --- |
|
[
PP-HumanSeg
](
../models/human_segmentation_pphumanseg
)
| Human Segmentation | 192x192 | 8.81
| 73.13 | 1610.78 | 34.58 | 144.23 | 2157.86 | 67.97 | 74.77 | 6.94
| --- |
|
[
WeChatQRCode
](
../models/qrcode_wechatqrcode
)
| QR Code Detection and Parsing | 100x100 | 1.29
| 5.71 | --- | --- | --- | --- | --- | --- | ---
| --- |
|
[
DaSiamRPN
](
../models/object_tracking_dasiamrpn
)
| Object Tracking | 1280x720 | 29.05
| 712.94 | 14738.64 | 152.78 | 929.63 | 19800.14 | 76.82 | --- | ---
| --- |
|
[
YoutuReID
](
../models/person_reid_youtureid
)
| Person Re-Identification | 128x256 | 30.39
| 625.56 | 11117.07 | 195.67 | 898.23 | 14886.02 | 90.07 | 44.61 | 5.58
| --- |
|
[
MP-PalmDet
](
../models/palm_detection_mediapipe
)
| Palm Detection | 192x192 | 6.29
| 86.83 | 872.09 | 38.03 | 142.23 | 1191.81 | 83.20 | 33.81 | 5.17
| --- |
|
[
MP-HandPose
](
../models/handpose_estimation_mediapipe
)
| Hand Pose Estimation | 224x224 | 4.68
| 43.57 | 460.56 | 20.27 | 80.67 | 636.22 | 40.10 | 19.47 | 6.27
| --- |
|
[
MP-PersonDet
](
./models/person_detection_mediapipe
)
| Person Detection | 224x224 | 13.88
| 98.52 | 1326.56 | 46.07 | 191.41 | 1835.97 | 56.69 | --- | 16.45
| --- |
\*
: Models are quantized in per-channel mode, which run slower than per-tensor quantized models on NPU.
...
...
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