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Jobs
jgnm64vrp
Results Ready
Name
pidnet
Target Device
  • Samsung Galaxy S24
  • Android 14
  • Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 1024, 2048, 3]
Completion Time
6/28/2025, 12:38:49 PM
Versions
  • TensorFlow Lite: 2.17.0
  • QAIRT: v2.34.2.250528164111_119506
  • QNN TfLite Delegate: v2.34.2.250528164111_119506
  • Android: 14 (UP1A.231005.007)
  • AI Hub: aihub-2025.06.12.0
Estimated Inference Time
31.6 ms
Estimated Peak Memory Usage
2 ‑ 67 MB
Compute Units
NPU
169
StageTimeMemory
First App Load
2.62 s356‑364 MB
Subsequent App Load
2.71 s380‑550 MB
Inference
31.6 ms2‑67 MB
TensorFlow LiteValue
number_of_threads4
QNN DelegateValue
backend_typekHtpBackend
log_levelkLogLevelWarn
htp_options.performance_modekHtpBurst
htp_options.precisionkHtpFp16
htp_options.useConvHmxtrue

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