Qualcomm® AI HubAI Hub
Qualcomm® AI Hub Models
Posenet-Mobilenet-Quantized

Profile Job Results

Jobs
j5q6nvqnp
Results Ready
Name
posenet_mobilenet_quantized
Target Device
  • QCS8550 (Proxy)
  • Android 12
  • Qualcomm® QCS8550
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 513, 257, 3]
Completion Time
1/8/2025, 5:06:37 AM
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-2025.01.04.0
Estimated Inference Time
565 μs
Estimated Peak Memory Usage
0 ‑ 3 MB
Compute Units
NPU
69
StageTimeMemory
First App Load
154 ms0‑2 MB
Subsequent App Load
152 ms0‑1 MB
Inference
565 μs0‑3 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