Profile Job Results
Jobs
j5q6zr3op
Results Ready
Name
mediapipe_hand_MediaPipeHandDetector
Target Device
- SA8295P ADP
- Android 14
- Qualcomm® SA8295P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 256, 256, 3]Completion Time
11/26/2024, 11:08:15 AM
Versions
- TensorFlow Lite: 2.17.0
- QNN TfLite Delegate: v2.28.0.241029232508_102474-auto
- Android: 14 (UQ1A.240205.002)
- Build ID: SA8295P.HQX.4.5.6.0-00006-STD.PROD-1
- AI Hub: aihub-2024.11.22.0
Estimated Inference Time
1.75 ms
Estimated Peak Memory Usage
0 ‑ 11 MB
Compute Units
NPU
149
| Stage | Time | Memory |
|---|---|---|
First App Load | 807 ms | 63‑69 MB |
Subsequent App Load | 820 ms | 56‑80 MB |
Inference | 1.75 ms | 0‑11 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 |
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