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Movenet

Profile Job Results

Jobs
jp41qd3qp
Results Ready
Name
movenet
Target Device
  • Arduino VENTUNO Q
  • Ubuntu 24.04
  • Qualcomm® Dragonwing™ IQ-8275 | QCS8275
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image: float32[1, 192, 192, 3]
Completion Time
9/6/2026, 12:28:34 AM
Versions
  • Lite RT: 1.4.5
  • QAIRT: v2.45.0.260326154327
  • QNN TfLite Delegate: v2.45.0.260326154327
  • Qualcomm Linux: 24.04
  • AI Hub: aihub-2026.08.28.1
Estimated Inference Time
1.19 ms
Estimated Peak Memory Usage
0 ‑ 9 MB
Compute Units
NPU
158
StageTimeMemory
First App Load
1.05 s104‑105 MB
Subsequent App Load
212 ms8 MB
Inference
1.19 ms0‑9 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

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