Qualcomm® AI HubAI Hub

Profile Job Results

Jobs
jpxx0o93p
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, 3, 518, 518]
Completion Time
8/8/2026, 4:23:51 PM
Versions
  • ONNX Runtime: 1.27.1
  • QAIRT: v2.45.0.260326154327
  • Qualcomm Linux: 24.04
  • AI Hub: aihub-2026.07.31.1
Estimated Inference Time
26.4 ms
Estimated Peak Memory Usage
2 ‑ 6 MB
Compute Units
NPU
462
StageTimeMemory
First App Load
23.0 s533‑534 MB
Subsequent App Load
505 ms38‑39 MB
Inference
26.4 ms2‑6 MB
ONNX RuntimeValue
execution_modeSEQUENTIAL
intra_op_num_threads0
inter_op_num_threads0
enable_memory_patternfalse
enable_cpu_memory_arenafalse
graph_optimization_levelENABLE_ALL
QNN Execution ProviderValue
htp_performance_mode"burst"
htp_graph_finalization_optimization_mode"3"
enable_htp_fp16_precision"1"
capture_network_visualizationsfalse
context_priority"normal"
offload_graph_io_quantization"1"

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

Run on device