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FFNet-78S-Quantized

Profile Job Results

Jobs
jg9jlm4q5
Results Ready
Name
ffnet_78s
Target Device
  • SA8775P ADP
  • Android 14
  • Qualcomm® SA8775P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 1024, 2048, 3]
Completion Time
4/8/2025, 4:56:43 PM
Versions
  • QAIRT: v2.32.0.250228225014_116386-auto
  • QNN Backend API: 5.32.0
  • QNN Core API: 2.24.0
  • Android: 14 (UQ1A.240205.002)
  • Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00011-STD.PROD-1.89321.2
  • AI Hub: aihub-2025.03.24.0
Estimated Inference Time
20.9 s
Estimated Peak Memory Usage
6 ‑ 16 MB
Compute Units
NPU
238
StageTimeMemory
First App Load
4.44 min0‑10 MB
Subsequent App Load
4.21 min0‑10 MB
Inference
20.9 s6‑16 MB
QNNValue
default_graph_options.htp_options.precisionFLOAT16

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