Profile Job Results
Jobs
j56z7v7ng
Results Ready
Name
hrnet_pose
Target Device
- SA8295P ADP
- Android 14
- Qualcomm® SA8295P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 256, 192, 3]Completion Time
8/24/2025, 12:08:49 PM
Options
--qairt_version latestVersions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.37.0.250724175447_124859-auto
- QNN TfLite Delegate: v2.37.0.250724175447_124859-auto
- Android: 14 (UQ1A.240205.002)
- Build ID: SA8295P.HQX.4.5.6.0-00006-STD.PROD-1
- AI Hub: aihub-2025.08.21.0
Estimated Inference Time
1.70 ms
Estimated Peak Memory Usage
0 ‑ 71 MB
Compute Units
NPU
518
| Stage | Time | Memory |
|---|---|---|
First App Load | 2.08 s | 265‑271 MB |
Subsequent App Load | 2.13 s | 185‑345 MB |
Inference | 1.70 ms | 0‑71 MB |
| TensorFlow Lite | Value |
|---|---|
| number_of_threads | 4 |
| QNN Delegate | Value |
|---|---|
| backend_type | kHtpBackend |
| log_level | kLogLevelWarn |
| htp_options.precision | kHtpFp16 |
| htp_options.useConvHmx | true |
Sign up to run this model on a hosted Qualcomm® device!
Run on device