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SPEEDTABLE.md

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Notes

  • '-' means use last result from top
  • empty means no test results
  • onnx convert based on mmdeploy
  • model infer fps does not contain pre/post-process time cost
  • trt & trt16 based on onnxruntime tensorrt EP
  • input array located on cpu (io-binding done by onnxruntime itself)
  • more info check onnx test codes

Environment

Name Attr
Sys Ubuntu 20.04
GPU NVIDIA GeForce RTX 3080 10G
CPU Intel® Core™ i9-10850K CPU @ 3.60GHz × 20
MEM 32G
Libs onnxruntime-gpu=1.13

Pose Detect

MMPose input shape size cpu infer fps gpu infer fps trt infer fps trt16 infer fps
pvtv2-b2_static_coco [1, 3, 256, 192] 116.3m 4.9 73 184 257
[4, 3, 256, 192] - 2.5 47 106 178
hrnet_w48_dark+_dynamic_cocowholebody [4, 3, 384, 288] 254m 2.9 31 39 83
MMPose Post-process
gaussian_blur_k17 [4, 133, 96, 72] 0.19m 7.9 119 147 142