Profile Job Results
Jobs
j5q22v775
Results Ready
Name
mediapipe_pose_w8a8_PoseLandmarkDetector
Target Device
- Samsung Galaxy S25
- Android 15
- Snapdragon® 8 Elite for Galaxy | SM8750-AC
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 256, 256, 3]Completion Time
2/1/2026, 3:25:16 AM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.42.0.251225135753_193295
- QNN TfLite Delegate: v2.42.0.251225135753_193295
- Android: 15 (AP3A.240905.015.A2)
- AI Hub: aihub-2026.01.22.0
Estimated Inference Time
195 μs
Estimated Peak Memory Usage
0 ‑ 34 MB
Compute Units
NPU
224
| Stage | Time | Memory |
|---|---|---|
First App Load | 539 ms | 48‑58 MB |
Subsequent App Load | 95.9 ms | 5‑42 MB |
Inference | 195 μs | 0‑34 MB |
| TensorFlow Lite | Value |
|---|---|
| number_of_threads | 4 |
| QNN Delegate | Value |
|---|---|
| backend_type | kHtpBackend |
| log_level | kLogLevelWarn |
| htp_options.performance_mode | kHtpBurst |
| htp_options.precision | kHtpFp16 |
| htp_options.optimization_strategy | kHtpOptimizeForInferenceO3 |
| htp_options.useConvHmx | true |
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