Qualcomm® AI HubAI Hub

Profile Job Results

Jobs
jpyon2n05
Results Ready
Name
hrnet_face
Target Device
  • Arduino VENTUNO Q
  • Ubuntu 24.04
  • Qualcomm® Dragonwing™ IQ-8275 | QCS8275
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image: uint8[1, 256, 256, 3]
Completion Time
9/19/2026, 10:53:10 PM
Options
--qairt_version latest
Versions
  • Lite RT: 1.4.2
  • QAIRT: v2.50.0.260828221209
  • QNN TfLite Delegate: v2.50.0.260828221209
  • Qualcomm Linux: 24.04
  • AI Hub: aihub-2026.09.11.0
Estimated Inference Time
1.18 ms
Estimated Peak Memory Usage
0 ‑ 19 MB
Compute Units
NPU
559
StageTimeMemory
First App Load
3.24 s90 MB
Subsequent App Load
204 ms18‑19 MB
Inference
1.18 ms0‑19 MB
Lite RTValue
number_of_threads4
QNN DelegateValue
backend_typekHtpBackend
log_levelkLogLevelWarn
htp_options.performance_modekHtpBurst
htp_options.precisionkHtpFp16
htp_options.optimization_strategykHtpOptimizeForInferenceO3
htp_options.useConvHmxtrue

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

Run on device