Qualcomm® AI HubAI Hub
Qualcomm® AI Hub Models
FCN-ResNet50-Quantized

Profile Job Results

Jobs
j56yrq7np
Results Ready
Name
fcn_resnet50_quantized
Target Device
  • XR2 Gen 2 (Proxy)
  • Android 13
  • Qualcomm® QCS8450
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 520, 520, 3]
Completion Time
11/26/2024, 4:41:27 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
19.8 ms
Estimated Peak Memory Usage
1 ‑ 44 MB
Compute Units
NPU
130
StageTimeMemory
First App Load
1.87 s313‑320 MB
Subsequent App Load
1.74 s161‑263 MB
Inference
19.8 ms1‑44 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