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FFNet-40S

Profile Job Results

Jobs
jpy1w334p
Results Ready
Name
ffnet_40s
Target Device
  • SA8255 (Proxy)
  • Android 13
  • Qualcomm® SA8255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 1024, 2048, 3]
Completion Time
1/21/2025, 3:07:43 PM
Versions
  • QNN: v2.28.2.241116104011_103376
  • QNN Backend API: 5.28.0
  • QNN Core API: 2.21.0
  • Android: 13 (TP1A.220624.014)
  • AI Hub: aihub-2025.01.04.0
Estimated Inference Time
41.5 ms
Estimated Peak Memory Usage
24 ‑ 26 MB
Compute Units
NPU
142
StageTimeMemory
First App Load
193 ms0‑2 MB
Subsequent App Load
189 ms0‑2 MB
Inference
41.5 ms24‑26 MB
QNNValue
context_options.htp_options.performance_modeBURST
default_graph_options.htp_options.precisionFLOAT16

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