Profile Job Results
Jobs
jpew9j4op
Results Ready
Name
hrnet_pose
Target Device
- QCS6490 (Proxy)
- Android 12
- Qualcomm® QCS6490
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 256, 192, 3]Completion Time
9/27/2025, 9:25:06 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.38.0.250901140452_125126
- QNN TfLite Delegate: v2.38.0.250901140452_125126
- Android: 12 (SP1A.210812.016)
- AI Hub: aihub-2025.09.23.1
Estimated Inference Time
3.69 ms
Estimated Peak Memory Usage
0 ‑ 79 MB
Compute Units
NPU
518
| Stage | Time | Memory |
|---|---|---|
First App Load | 5.92 s | 299‑310 MB |
Subsequent App Load | 5.40 s | 283‑442 MB |
Inference | 3.69 ms | 0‑79 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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