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

Profile Job Results

Jobs
j5q6ndn7p
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
1/8/2025, 9:54:41 AM
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
20.6 ms
Estimated Peak Memory Usage
6 ‑ 9 MB
Compute Units
NPU
238
StageTimeMemory
First App Load
172 ms0‑2 MB
Subsequent App Load
164 ms0‑2 MB
Inference
20.6 ms6‑9 MB
QNNValue
context_options.htp_options.performance_modeBURST
default_graph_options.htp_options.precisionFLOAT16

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

Run on device