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Depth-Anything-V3

Profile Job Results

Jobs
jgn1vxkjp
Results Ready
Name
depth_anything_v3
Target Device
  • Arduino VENTUNO Q
  • Ubuntu 24.04
  • Qualcomm® Dragonwing™ IQ-8275 | QCS8275
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image: float32[1, 518, 518, 3]
Completion Time
10/3/2026, 8:42:16 PM
Versions
  • Lite RT: 1.4.2
  • QAIRT: v2.50.0.260828221209
  • QNN TfLite Delegate: v2.50.0.260828221209
  • Qualcomm Linux: 24.04
  • AI Hub: aihub-2026.09.25.0
Estimated Inference Time
66.7 ms
Estimated Peak Memory Usage
1 ‑ 82 MB
Compute Units
NPU
1054
StageTimeMemory
First App Load
22.3 s482‑483 MB
Subsequent App Load
284 ms76‑77 MB
Inference
66.7 ms1‑82 MB
Lite RTValue
number_of_threads4
QNN DelegateValue
backend_typekHtpBackend
log_levelkLogLevelWarn
htp_options.performance_modekHtpBurst
htp_options.precisionkHtpFp16
htp_options.optimization_strategykHtpOptimizeForInferenceO3
htp_options.useConvHmxtrue

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