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

Profile Job Results

Jobs
jp4l726q5
Results Ready
Name
ffnet_78s_quantized
Target Device
  • Samsung Galaxy S24 (Family)
  • Android 14
  • Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 1024, 2048, 3]
Completion Time
1/8/2025, 9:54:23 AM
Versions
  • QNN: v2.28.2.241116104011_103376
  • QNN Backend API: 5.28.0
  • QNN Core API: 2.21.0
  • Android: 14 (UP1A.231005.007)
  • AI Hub: aihub-2025.01.04.0
Estimated Inference Time
17.2 ms
Estimated Peak Memory Usage
6 ‑ 42 MB
Compute Units
NPU
238
StageTimeMemory
First App Load
1.28 s237‑245 MB
Subsequent App Load
1.35 s269‑375 MB
Inference
17.2 ms6‑42 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