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

Profile Job Results

Jobs
jp03zjr0p
Results Ready
Name
ffnet_78s
Target Device
  • SA7255P ADP
  • Android 14
  • Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 1024, 2048, 3]
Completion Time
4/8/2025, 4:52:11 PM
Versions
  • TensorFlow Lite: 2.17.0
  • QAIRT: v2.32.0.250228225014_116386-auto
  • QNN TfLite Delegate: v2.32.0.250228225014_116386-auto
  • Android: 14 (UQ1A.240205.002)
  • Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00012-STD.PROD-5
  • AI Hub: aihub-2025.03.24.0
Estimated Inference Time
155 ms
Estimated Peak Memory Usage
0 ‑ 49 MB
Compute Units
NPU
153
StageTimeMemory
First App Load
119 min182‑191 MB
Subsequent App Load
120 min191‑253 MB
Inference
2.58 min0‑49 MB
TensorFlow LiteValue
number_of_threads4
QNN DelegateValue
backend_typekHtpBackend
log_levelkLogLevelWarn
htp_options.precisionkHtpFp16
htp_options.useConvHmxtrue

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

Run on device