Profile Job Results
Jobs
j56er9o6g
Results Ready
Name
foot_track_net
Target Device
- QCS6490 (Proxy)
- Android 12
- Qualcomm® QCS6490
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 480, 640, 3]Completion Time
5/6/2025, 3:49:05 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.32.6.250402152434_116405
- QNN TfLite Delegate: v2.32.6.250402152434_116405
- Android: 12 (SP1A.210812.016)
- AI Hub: aihub-2025.05.02.0
Estimated Inference Time
5.51 ms
Estimated Peak Memory Usage
1 ‑ 35 MB
Compute Units
NPU
143
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.46 s | 72‑79 MB |
Subsequent App Load | 1.49 s | 63‑106 MB |
Inference | 5.51 ms | 1‑35 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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