Profile Job Results
Jobs
j7gj8dyv5
Results Ready
Name
mediapipe_face_quantized_MediaPipeFaceDetector
Target Device
- QCS6490 (Proxy)
- Android 12
- Qualcomm® QCS6490
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 256, 256, 3]Completion Time
8/26/2024, 9:04:53 AM
Versions
- TensorFlow Lite: 2.16.1
- QNN TfLite Delegate: v2.24.0.240626131148_96320
- Android: 12 (SP1A.210812.016)
- AI Hub: aihub-2024.08.12.0
Estimated Inference Time
0.84 ms
Estimated Peak Memory Usage
0 - 22 MB
Compute Units
NPU
114
| Stage | Time | Memory |
|---|---|---|
First App Load | 581 ms | 32-40 MB |
Subsequent App Load | 210 ms | 0-23 MB |
Inference | 0.84 ms | 0-22 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 |
Sign up to run this model on a hosted Qualcomm® device!
Run on device