Qualcomm® AI HubAI Hub
Qualcomm® AI Hub Models
ResNet50Quantized

Profile Job Results

Jobs
jglvo0nl5
Results Ready
Name
resnet50_quantized
Target Device
  • SA8775P ADP
  • Android 14
  • Qualcomm® SA8775P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: uint8[1, 224, 224, 3]
Completion Time
11/26/2024, 4:11:44 PM
Versions
  • QNN: v2.28.0.241029232508_102474-auto
  • QNN Backend API: 5.28.0
  • QNN Core API: 2.21.0
  • Android: 14 (UQ1A.240205.002)
  • Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00011-STD.PROD-1.89321.2
  • AI Hub: aihub-2024.11.22.0
Estimated Inference Time
1.46 ms
Estimated Peak Memory Usage
0 ‑ 6 MB
Compute Units
NPU
127
StageTimeMemory
First App Load
296 ms1‑7 MB
Subsequent App Load
257 ms1‑7 MB
Inference
1.46 ms0‑6 MB
QNNValue
default_graph_options.htp_options.precisionFLOAT16

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

Run on device