Profile Job Results
Jobs
jp4vyj6qp
Results Ready
Name
mediapipe_pose_w8a8_PoseLandmarkDetector
Target Device
- SA7255P ADP
- Android 14
- Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 256, 256, 3]Completion Time
11/29/2025, 11:05:42 PM
Options
--qairt_version latestVersions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.40.0.251030114326_189385-auto
- QNN TfLite Delegate: v2.40.0.251030114326_189385-auto
- Android: 14 (UQ1A.240205.002)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00012-STD.PROD-5
- AI Hub: aihub-2025.11.18.0
Estimated Inference Time
878 μs
Estimated Peak Memory Usage
0 ‑ 28 MB
Compute Units
NPU
224
| Stage | Time | Memory |
|---|---|---|
First App Load | 2.50 s | 137‑146 MB |
Subsequent App Load | 2.55 s | 145‑277 MB |
Inference | 878 μs | 0‑28 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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