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FFNet-78S-Quantized

Profile Job Results

Jobs
jgozr3xxp
Results Ready
Name
ffnet_78s_quantized
Target Device
  • Snapdragon 8 Elite QRD
  • Android 15
  • Snapdragon® 8 Elite | SM8750
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 1024, 2048, 3]
Completion Time
3/11/2025, 9:04:02 PM
Versions
  • QAIRT: v2.32.0.250228225014_116386
  • QNN Backend API: 5.32.0
  • QNN Core API: 2.24.0
  • Android: 15 (AQ3A.241126.002)
  • Build ID: Pakala.LA.1.0.r1-01152-STD.PROD-1
  • AI Hub: aihub-2025.03.06.0
Estimated Inference Time
12.4 ms
Estimated Peak Memory Usage
6 ‑ 60 MB
Compute Units
NPU
238
StageTimeMemory
First App Load
998 ms317‑324 MB
Subsequent App Load
1.02 s317‑377 MB
Inference
12.4 ms6‑60 MB
QNNValue
context_options.htp_options.performance_modeBURST
default_graph_options.htp_options.precisionFLOAT16

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