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FFNet-78S-Quantized

Profile Job Results

Jobs
jgz2mr6kg
Results Ready
Name
ffnet_78s_quantized
Target Device
  • SA8255 (Proxy)
  • Android 13
  • Qualcomm® SA8255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 1024, 2048, 3]
Completion Time
3/11/2025, 9:03:17 PM
Versions
  • QAIRT: v2.32.0.250228225014_116386
  • QNN Backend API: 5.32.0
  • QNN Core API: 2.24.0
  • Android: 13 (TP1A.220624.014)
  • AI Hub: aihub-2025.03.06.0
Estimated Inference Time
16.6 ms
Estimated Peak Memory Usage
6 ‑ 8 MB
Compute Units
NPU
238
StageTimeMemory
First App Load
185 ms1‑2 MB
Subsequent App Load
182 ms0‑2 MB
Inference
16.6 ms6‑8 MB
QNNValue
context_options.htp_options.performance_modeBURST
default_graph_options.htp_options.precisionFLOAT16

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