Profile Job Results
Jobs
jgn3md7v5
Results Ready
Name
mediapipe_hand_float_HandLandmarkDetector
Target Device
- XR2 Gen 2 (Proxy)
- Android 13
- Qualcomm® QCS8450
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 256, 256, 3]Completion Time
10/25/2025, 10:26:51 PM
Options
--qairt_version latestVersions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.39.0.250925215840_163802
- QNN TfLite Delegate: v2.39.0.250925215840_163802
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2025.10.21.0
Estimated Inference Time
1.80 ms
Estimated Peak Memory Usage
0 ‑ 37 MB
Compute Units
NPU
158
| Stage | Time | Memory |
|---|---|---|
First App Load | 766 ms | 158‑166 MB |
Subsequent App Load | 700 ms | 196‑324 MB |
Inference | 1.80 ms | 0‑37 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.useConvHmx | true |
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