Profile Job Results
Jobs
j5q3l40mp
Results Ready
Name
depth_anything_v2_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
11/30/2025, 2:57:42 PM
Options
--qairt_version latestVersions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.40.0.251030114326_189385
- QNN TfLite Delegate: v2.40.0.251030114326_189385
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2025.11.18.0
Estimated Inference Time
119 ms
Estimated Peak Memory Usage
1 ‑ 168 MB
Compute Units
NPU
646
| Stage | Time | Memory |
|---|---|---|
First App Load | 11.9 s | 641‑650 MB |
Subsequent App Load | 12.8 s | 1 GB |
Inference | 119 ms | 1‑168 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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