Qualcomm® AI HubAI Hub

Profile Job Results

Jobs
jglvo3mj5
Results Ready
Name
foot_track_net_quantized
Target Device
  • QCS6490 (Proxy)
  • Android 12
  • Qualcomm® QCS6490
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 480, 640, 3]
Completion Time
11/26/2024, 12:56:39 PM
Versions
  • TensorFlow Lite: 2.17.0
  • QNN TfLite Delegate: v2.28.2.241116104011_103376
  • Android: 12 (SP1A.210812.016)
  • AI Hub: aihub-2024.11.22.0
Estimated Inference Time
5.57 ms
Estimated Peak Memory Usage
1 ‑ 26 MB
Compute Units
NPU
146
StageTimeMemory
First App Load
1.58 s74‑82 MB
Subsequent App Load
2.29 s44‑80 MB
Inference
5.57 ms1‑26 MB
TensorFlow LiteValue
number_of_threads4
QNN DelegateValue
backend_typekHtpBackend
log_levelkLogLevelWarn
htp_options.performance_modekHtpBurst
htp_options.precisionkHtpFp16
htp_options.useConvHmxtrue

Sign up to run this model on a hosted Qualcomm® device!

Run on device