Qualcomm® AI HubAI Hub

Profile Job Results

Jobs
jp2rjx44g
Results Ready
Name
depth_anything_v2
Target Device
  • Arduino VENTUNO Q
  • Ubuntu 24.04
  • Qualcomm® Dragonwing™ IQ-8275 | QCS8275
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image: uint16[1, 518, 518, 3]
Completion Time
9/19/2026, 12:50:21 PM
Options
--qairt_version latest
Versions
  • QAIRT: v2.50.0.260828221209
  • QNN Backend API: 5.50.0
  • QNN Core API: 2.39.0
  • Qualcomm Linux: 24.04
  • AI Hub: aihub-2026.09.11.0
Estimated Inference Time
29.7 ms
Estimated Peak Memory Usage
2 ‑ 7 MB
Compute Units
NPU
457
StageTimeMemory
First App Load
16.7 s438‑439 MB
Subsequent App Load
230 ms2‑3 MB
Inference
29.7 ms2‑7 MB
QNNValue
context_options.htp_options.performance_modeBURST
default_graph_options.htp_options.optimizations[0].typeFINALIZE_OPTIMIZATION_FLAG
default_graph_options.htp_options.optimizations[0].value3.0
default_graph_options.htp_options.precisionFLOAT16
default_graph_options.htp_options.vtcm_size0

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

Run on device