Profile Job Results
Jobs
jgdql8ye5
Results Ready
Name
foot_track_net_w8a8
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
10/5/2025, 5:20:01 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.38.0.250901140452_125126
- QNN TfLite Delegate: v2.38.0.250901140452_125126
- Android: 12 (SP1A.210812.016)
- AI Hub: aihub-2025.09.26.0
Estimated Inference Time
5.44 ms
Estimated Peak Memory Usage
1 ‑ 33 MB
Compute Units
NPU
141
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.53 s | 139‑150 MB |
Subsequent App Load | 1.64 s | 131‑238 MB |
Inference | 5.44 ms | 1‑33 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