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FFNet-78S

Profile Job Results

Jobs
jgdqlz1r5
Results Ready
Name
ffnet_78s_float
Target Device
  • SA8650 (Proxy)
  • Android 13
  • Qualcomm® SA8650P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 1024, 2048, 3]
Completion Time
10/5/2025, 7:50:02 AM
Versions
  • QAIRT: v2.38.0.250901140452_125126
  • QNN Backend API: 5.38.0
  • QNN Core API: 2.28.1
  • Android: 13 (TP1A.220624.014)
  • AI Hub: aihub-2025.09.26.0
Estimated Inference Time
40.6 ms
Estimated Peak Memory Usage
24 ‑ 49 MB
Compute Units
NPU
238
StageTimeMemory
First App Load
5.86 s327‑329 MB
Subsequent App Load
5.85 s349‑351 MB
Inference
40.6 ms24‑49 MB
QNNValue
context_options.htp_options.performance_modeBURST
default_graph_options.htp_options.optimizations[0].typeFINALIZE_OPTIMIZATION_FLAG
default_graph_options.htp_options.optimizations[0].value3.0
default_graph_options.htp_options.precisionFLOAT16
default_graph_options.htp_options.vtcm_size0

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