Profile Job Results
Jobs
j5w99l1jp
Results Ready
Name
hrnet_face_w8a8
Target Device
- SA7255P ADP
- Android 14
- Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 3, 256, 256]Completion Time
2/1/2026, 4:30:24 AM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.42.0.251225135753_193295
- QNN TfLite Delegate: v2.42.0.251225135753_193295
- Android: 14 (UAG2.240908.001)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00016-STD.PROD-3
- AI Hub: aihub-2026.01.22.0
Estimated Inference Time
3.21 ms
Estimated Peak Memory Usage
0 ‑ 73 MB
Compute Units
NPU
560
| Stage | Time | Memory |
|---|---|---|
First App Load | 6.10 s | 67‑73 MB |
Subsequent App Load | 565 ms | 18‑92 MB |
Inference | 3.21 ms | 0‑73 MB |
| TensorFlow Lite | Value |
|---|---|
| number_of_threads | 4 |
| QNN Delegate | Value |
|---|---|
| backend_type | kHtpBackend |
| log_level | kLogLevelWarn |
| htp_options.precision | kHtpFp16 |
| htp_options.optimization_strategy | kHtpOptimizeForInferenceO3 |
| htp_options.useConvHmx | true |
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