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HRNetPoseQuantized

Profile Job Results

Jobs
jp2k49qmp
Results Ready
Name
hrnet_pose_quantized
Target Device
  • QCS8250 (Proxy)
  • Android 12
  • Qualcomm® QCS8250
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 256, 192, 3]
Completion Time
11/26/2024, 12:39:08 PM
Versions
  • TensorFlow Lite: 2.17.0
  • Android: 11 (RP1A.200720.012)
  • AI Hub: aihub-2024.11.22.0
Estimated Inference Time
17.0 ms
Estimated Peak Memory Usage
0 ‑ 7 MB
Compute Units
NPU
518
StageTimeMemory
First App Load
7.97 s5‑12 MB
Subsequent App Load
7.74 s2‑11 MB
Inference
17.0 ms0‑7 MB
TensorFlow LiteValue
number_of_threads4
NNAPI DelegateValue
accelerator_name"qti-dsp"
execution_preferencekSustainedSpeed
allow_fp16true

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