Profile Job Results
Jobs
jgnemmdjg
Results Ready
Name
depth_anything_v3_float
Target Device
- QCS8450 (Proxy)
- Android 13
- Qualcomm® QCS8450
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 518, 518, 3]Completion Time
1/27/2026, 6:09:18 AM
Options
--qairt_version 2.41Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.41.0.251128145156_191518
- QNN TfLite Delegate: v2.41.0.251128145156_191518
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2026.01.22.0
Estimated Inference Time
112 ms
Estimated Peak Memory Usage
1 ‑ 631 MB
Compute Units
NPU
1075
| Stage | Time | Memory |
|---|---|---|
First App Load | 17.1 s | 819‑827 MB |
Subsequent App Load | 301 ms | 73‑700 MB |
Inference | 112 ms | 1‑631 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.optimization_strategy | kHtpOptimizeForInferenceO3 |
| htp_options.useConvHmx | true |
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