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SixDRepNet

Profile Job Results

Jobs
jp0ezyl65
Results Ready
Name
sixd_repnet_pose_estimator
Target Device
  • QCS8450 (Proxy)
  • Android 13
  • Qualcomm® QCS8450
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image: float32[1, 224, 224, 3]
Completion Time
5/2/2026, 5:36:00 PM
Versions
  • LiteRT: 1.4.3
  • QAIRT: v2.45.0.260326154327
  • QNN TfLite Delegate: v2.45.0.260326154327
  • Android: 13 (TP1A.220624.014)
  • AI Hub: aihub-2026.04.25.0
Estimated Inference Time
6.50 ms
Estimated Peak Memory Usage
0 ‑ 43 MB
Compute Units
NPU
89
StageTimeMemory
First App Load
996 ms291‑300 MB
Subsequent App Load
241 ms76‑120 MB
Inference
6.50 ms0‑43 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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