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Person-Foot-Detection-Quantized

Profile Job Results

Jobs
jpeedzovp
Results Ready
Name
foot_track_net
Target Device
  • QCS8250 (Proxy)
  • Android 12
  • Qualcomm® QCS8250
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 480, 640, 3]
Completion Time
4/8/2025, 4:40:26 PM
Versions
  • TensorFlow Lite: 2.17.0
  • Android: 11 (RP1A.200720.012)
  • AI Hub: aihub-2025.03.24.0
Estimated Inference Time
24.8 s
Estimated Peak Memory Usage
1 ‑ 4 MB
Compute Units
NPU
143
StageTimeMemory
First App Load
5.53 min1‑3 MB
Subsequent App Load
3.22 min1‑3 MB
Inference
24.8 s1‑4 MB
TensorFlow LiteValue
number_of_threads4
NNAPI DelegateValue
accelerator_name"qti-dsp"
execution_preferencekSustainedSpeed
allow_fp16true

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