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Jobs
jgjvoeo1g
Results Ready
Name
ffnet_40s_quantized
Target Device
  • SA7255P ADP
  • Android 14
  • Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 1024, 2048, 3]
Completion Time
11/26/2024, 1:28:07 PM
Versions
  • TensorFlow Lite: 2.17.0
  • QNN TfLite Delegate: v2.28.0.241029232508_102474-auto
  • Android: 14 (UQ1A.240205.002)
  • Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00011-STD.PROD-1.89321.2
  • AI Hub: aihub-2024.11.22.0
Estimated Inference Time
95.9 ms
Estimated Peak Memory Usage
1 ‑ 23 MB
Compute Units
NPU
99
StageTimeMemory
First App Load
3.84 s123‑129 MB
Subsequent App Load
4.12 s94‑126 MB
Inference
95.9 ms1‑23 MB
TensorFlow LiteValue
number_of_threads4
QNN DelegateValue
backend_typekHtpBackend
log_levelkLogLevelWarn
htp_options.precisionkHtpFp16
htp_options.useConvHmxtrue

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