Qualcomm® AI HubAI Hub
Qualcomm® AI Hub Models
FFNet-78S-Quantized

Profile Job Results

Jobs
jgo2x9x4p
Results Ready
Name
ffnet_78s_quantized
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
1/8/2025, 9:59:05 AM
Versions
  • QNN: v2.28.0.241029232508_102474-auto
  • QNN Backend API: 5.28.0
  • QNN Core API: 2.21.0
  • Android: 14 (UQ1A.240205.002)
  • Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00011-STD.PROD-1.89321.2
  • AI Hub: aihub-2025.01.04.0
Estimated Inference Time
25.9 ms
Estimated Peak Memory Usage
6 ‑ 16 MB
Compute Units
NPU
238
StageTimeMemory
First App Load
270 ms0‑11 MB
Subsequent App Load
280 ms0‑10 MB
Inference
25.9 ms6‑16 MB
QNNValue
default_graph_options.htp_options.precisionFLOAT16

Sign up to run this model on a hosted Qualcomm® device!

Run on device