Qualcomm® AI HubAI Hub
Qualcomm® AI Hub Models
WideResNet50-Quantized

Profile Job Results

Jobs
jglvo0125
Results Ready
Name
wideresnet50_quantized
Target Device
  • SA8255 (Proxy)
  • Android 13
  • Qualcomm® SA8255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: uint8[1, 224, 224, 3]
Completion Time
11/26/2024, 1:31:34 PM
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-2024.11.22.0
Estimated Inference Time
1.92 ms
Estimated Peak Memory Usage
0 ‑ 1 MB
Compute Units
NPU
127
StageTimeMemory
First App Load
206 ms1‑2 MB
Subsequent App Load
214 ms1‑2 MB
Inference
1.92 ms0‑1 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