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Jobs
jgdxwlvep
Results Ready
Name
litehrnet
Target Device
  • QCS8550 (Proxy)
  • Android 12
  • Qualcomm® QCS8550
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 3, 256, 192]
Completion Time
1/21/2025, 2:23:16 PM
Versions
  • TensorFlow Lite: 2.17.0
  • QNN TfLite Delegate: v2.28.2.241116104011_103376
  • Android: 14 (UP1A.231005.007)
  • AI Hub: aihub-2025.01.04.0
Estimated Inference Time
7.85 ms
Estimated Peak Memory Usage
0 ‑ 15 MB
Compute Units
NPU
1233
CPU
2
StageTimeMemory
First App Load
1.26 s92‑93 MB
Subsequent App Load
1.32 s86‑89 MB
Inference
7.85 ms0‑15 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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