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update benchmark table

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  1. benchmark/README.md +22 -22
  2. benchmark/color_table.svg +0 -0
benchmark/README.md CHANGED
@@ -58,28 +58,28 @@ python benchmark.py --all --cfg_overwrite_backend_target 1
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  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.
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- | 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) |
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- |----------------------------------------------------------| ----------------------------- | ---------- |---------------------------------|---------------------------------|-------------------------------------|------------------------------|-------------------------------------|-------------|
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- | [YuNet](../models/face_detection_yunet) | Face Detection | 160x120 | 0.72 | 5.43 | 12.18 | 4.04 | 2.24 | 86.69 |
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- | [SFace](../models/face_recognition_sface) | Face Recognition | 112x112 | 6.04 | 78.83 | 24.88 | 46.25 | 2.66 | --- |
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- | [FER](../models/facial_expression_recognition/) | Facial Expression Recognition | 112x112 | 3.16 | 32.53 | 31.07 | 29.80 | 2.19 | --- |
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- | [LPD-YuNet](../models/license_plate_detection_yunet/) | License Plate Detection | 320x240 | 8.63 | 167.70 | 56.12 | 29.53 | 7.63 | --- |
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- | [YOLOX](../models/object_detection_yolox/) | Object Detection | 640x640 | 141.20 | 1805.87 | 388.95 | 420.98 | 28.59 | --- |
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- | [NanoDet](../models/object_detection_nanodet/) | Object Detection | 416x416 | 66.03 | 225.10 | 64.94 | 116.64 | 20.62 | --- |
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- | [DB-IC15](../models/text_detection_db) (EN) | Text Detection | 640x480 | 71.03 | 1862.75 | 208.41 | --- | 17.15 | --- |
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- | [DB-TD500](../models/text_detection_db) (EN&CN) | Text Detection | 640x480 | 72.31 | 1878.45 | 210.51 | --- | 17.95 | --- |
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- | [CRNN-EN](../models/text_recognition_crnn) | Text Recognition | 100x32 | 20.16 | 278.11 | 196.15 | 125.30 | --- | --- |
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- | [CRNN-CN](../models/text_recognition_crnn) | Text Recognition | 100x32 | 23.07 | 297.48 | 239.76 | 166.79 | --- | --- |
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- | [PP-ResNet](../models/image_classification_ppresnet) | Image Classification | 224x224 | 34.71 | 463.93 | 98.64 | 75.45 | 6.99 | --- |
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- | [MobileNet-V1](../models/image_classification_mobilenet) | Image Classification | 224x224 | 5.90 | 72.33 | 33.18 | 145.66\* | 5.15 | --- |
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- | [MobileNet-V2](../models/image_classification_mobilenet) | Image Classification | 224x224 | 5.97 | 66.56 | 31.92 | 146.31\* | 5.41 | --- |
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- | [PP-HumanSeg](../models/human_segmentation_pphumanseg) | Human Segmentation | 192x192 | 8.81 | 73.13 | 67.97 | 74.77 | 6.94 | --- |
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- | [WeChatQRCode](../models/qrcode_wechatqrcode) | QR Code Detection and Parsing | 100x100 | 1.29 | 5.71 | --- | --- | --- | --- |
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- | [DaSiamRPN](../models/object_tracking_dasiamrpn) | Object Tracking | 1280x720 | 29.05 | 712.94 | 76.82 | --- | --- | --- |
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- | [YoutuReID](../models/person_reid_youtureid) | Person Re-Identification | 128x256 | 30.39 | 625.56 | 90.07 | 44.61 | 5.58 | --- |
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- | [MP-PalmDet](../models/palm_detection_mediapipe) | Palm Detection | 192x192 | 6.29 | 86.83 | 83.20 | 33.81 | 5.17 | --- |
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- | [MP-HandPose](../models/handpose_estimation_mediapipe) | Hand Pose Estimation | 224x224 | 4.68 | 43.57 | 40.10 | 19.47 | 6.27 | --- |
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- | [MP-PersonDet](./models/person_detection_mediapipe) | Person Detection | 224x224 | 13.88 | 98.52 | 56.69 | --- | 16.45 | --- |
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  \*: Models are quantized in per-channel mode, which run slower than per-tensor quantized models on NPU.
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  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.
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+ | 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) |
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+ | -------------------------------------------------------- | ----------------------------- | ---------- | -------------- | ------------ | --------------- | ------------- | ------------- | ------------ | --------------- | ------------ | ------------------ | ----------- |
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+ | [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 |
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+ | [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 | --- |
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+ | [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 | --- |
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+ | [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 | --- |
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+ | [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 | --- |
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+ | [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 | --- |
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+ | [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 | --- |
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+ | [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 | --- |
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+ | [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 | --- | --- |
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+ | [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 | --- | --- |
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+ | [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 | --- |
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+ | [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 | --- |
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+ | [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 | --- |
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+ | [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 | --- |
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+ | [WeChatQRCode](../models/qrcode_wechatqrcode) | QR Code Detection and Parsing | 100x100 | 1.29 | 5.71 | --- | --- | --- | --- | --- | --- | --- | --- |
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+ | [DaSiamRPN](../models/object_tracking_dasiamrpn) | Object Tracking | 1280x720 | 29.05 | 712.94 | 14738.64 | 152.78 | 929.63 | 19800.14 | 76.82 | --- | --- | --- |
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+ | [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 | --- |
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+ | [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 | --- |
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+ | [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 | --- |
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+ | [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 | --- |
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  \*: Models are quantized in per-channel mode, which run slower than per-tensor quantized models on NPU.
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benchmark/color_table.svg CHANGED