Profile Job Results
Jobs
jgkq4dnog
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
8/24/2025, 6:59:52 AM
Options
--qairt_version latestVersions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.37.0.250724175447_124859
- QNN TfLite Delegate: v2.37.0.250724175447_124859
- Android: 12 (SP1A.210812.016)
- AI Hub: aihub-2025.08.21.0
Estimated Inference Time
5.58 ms
Estimated Peak Memory Usage
1 ‑ 33 MB
Compute Units
NPU
141
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.68 s | 136‑147 MB |
Subsequent App Load | 1.79 s | 130‑238 MB |
Inference | 5.58 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 |
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