Qualcomm® AI HubAI Hub
Qualcomm® AI Hub Models
ResNet-Mixed-Convolution-Quantized

Profile Job Results

Jobs
j5q0y2k4p
Results Ready
Name
resnet_mixed_quantized
Target Device
  • QCS8550 (Proxy)
  • Android 12
  • Qualcomm® QCS8550
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
video: uint8[1, 16, 112, 112, 3]
Completion Time
3/11/2025, 9:54:38 PM
Versions
  • QAIRT: v2.32.0.250228225014_116386
  • QNN Backend API: 5.32.0
  • QNN Core API: 2.24.0
  • Android: 13 (TP1A.220624.014)
  • AI Hub: aihub-2025.03.06.0
Estimated Inference Time
4.17 ms
Estimated Peak Memory Usage
1 ‑ 4 MB
Compute Units
NPU
53
StageTimeMemory
First App Load
167 ms0‑2 MB
Subsequent App Load
167 ms0‑2 MB
Inference
4.17 ms1‑4 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