Profile Job Results
Jobs
jgdod836p
Results Ready
Name
hrnet_face_float
Target Device
- SA8255 (Proxy)
- Android 13
- Qualcomm® SA8255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 3, 256, 256]Completion Time
11/29/2025, 11:50:27 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
3.15 ms
Estimated Peak Memory Usage
0 ‑ 125 MB
Compute Units
NPU
555
| Stage | Time | Memory |
|---|---|---|
First App Load | 2.03 s | 237‑238 MB |
Subsequent App Load | 1.98 s | 269‑272 MB |
Inference | 3.15 ms | 0‑125 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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