Profile Job Results
Jobs
j5mzxxddp
Results Ready
Name
mediapipe_pose_float_PoseLandmarkDetector
Target Device
- SA7255P ADP
- Android 14
- Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 256, 256, 3]Completion Time
1/10/2026, 11:42:20 PM
Options
--qairt_version latestVersions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.41.0.251128145156_191518-auto
- QNN TfLite Delegate: v2.41.0.251128145156_191518-auto
- Android: 14 (UQ1A.240205.002)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00012-STD.PROD-5
- AI Hub: aihub-2026.01.05.0
Estimated Inference Time
3.16 ms
Estimated Peak Memory Usage
0 ‑ 136 MB
Compute Units
NPU
220
| Stage | Time | Memory |
|---|---|---|
First App Load | 4.07 s | 149‑158 MB |
Subsequent App Load | 466 ms | 8‑145 MB |
Inference | 3.16 ms | 0‑136 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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