Profile Job Results
Jobs
jgnm2y8vp
Results Ready
Name
depth_anything_v2
Target Device
- SA8650 (Proxy)
- Android 13
- Qualcomm® SA8650P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 518, 518, 3]Completion Time
9/28/2025, 2:12:37 AM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.38.0.250901140452_125126
- QNN TfLite Delegate: v2.38.0.250901140452_125126
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2025.09.23.1
Estimated Inference Time
83.3 ms
Estimated Peak Memory Usage
1 ‑ 39 MB
Compute Units
NPU
646
| Stage | Time | Memory |
|---|---|---|
First App Load | 6.42 s | 612‑613 MB |
Subsequent App Load | 6.28 s | 708‑710 MB |
Inference | 83.3 ms | 1‑39 MB |
| TensorFlow Lite | Value |
|---|---|
| number_of_threads | 4 |
| QNN Delegate | Value |
|---|---|
| backend_type | kHtpBackend |
| log_level | kLogLevelWarn |
| htp_options.performance_mode | kHtpBurst |
| htp_options.precision | kHtpFp16 |
| htp_options.useConvHmx | true |
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