Profile Job Results
Jobs
jgjllq07p
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
2/1/2026, 2:44:24 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
828 μs
Estimated Peak Memory Usage
0 ‑ 38 MB
Compute Units
NPU
224
| Stage | Time | Memory |
|---|---|---|
First App Load | 3.58 s | 63‑72 MB |
Subsequent App Load | 557 ms | 5‑45 MB |
Inference | 828 μs | 0‑38 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 |
Sign up to run this model on a hosted Qualcomm® device!
Run on device