Qualcomm® AI HubAI Hub
Qualcomm® AI Hub Models
ResNet-3D-Quantized

Profile Job Results

Jobs
jgl4xkr85
Results Ready
Name
resnet_3d_quantized
Target Device
  • SA7255P ADP
  • Android 14
  • Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
video: uint8[1, 16, 112, 112, 3]
Completion Time
3/11/2025, 10:09:06 PM
Versions
  • QAIRT: v2.32.0.250228225014_116386-auto
  • QNN Backend API: 5.32.0
  • QNN Core API: 2.24.0
  • Android: 14 (UQ1A.240205.002)
  • Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00012-STD.PROD-5
  • AI Hub: aihub-2025.03.06.0
Estimated Inference Time
93.3 ms
Estimated Peak Memory Usage
1 ‑ 10 MB
Compute Units
NPU
53
StageTimeMemory
First App Load
544 ms0‑9 MB
Subsequent App Load
431 ms0‑10 MB
Inference
93.3 ms1‑10 MB
QNNValue
default_graph_options.htp_options.precisionFLOAT16

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

Run on device