Profile Job Results
Jobs
jp3n9eoz5
Results Ready
Name
hrnet_pose_quantized
Target Device
- SA8650 (Proxy)
- Android 13
- Qualcomm® SA8650P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 256, 192, 3]Completion Time
3/11/2025, 8:54:45 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.32.0.250228225014_116386
- QNN TfLite Delegate: v2.32.0.250228225014_116386
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2025.03.06.0
Estimated Inference Time
981 μs
Estimated Peak Memory Usage
0 ‑ 133 MB
Compute Units
NPU
518
| Stage | Time | Memory |
|---|---|---|
First App Load | 914 ms | 311‑312 MB |
Subsequent App Load | 1.03 s | 261‑264 MB |
Inference | 981 μs | 0‑133 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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