Profile Job Results
Jobs
jgnmxvrjp
Results Ready
Name
foot_track_net
Target Device
- QCS8550 (Proxy)
- Android 12
- Qualcomm® QCS8550
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 480, 640, 3]Completion Time
8/2/2025, 8:32:12 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.34.2.250528164111_119506
- QNN TfLite Delegate: v2.34.2.250528164111_119506
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2025.07.25.0
Estimated Inference Time
4.88 ms
Estimated Peak Memory Usage
5 ‑ 15 MB
Compute Units
NPU
135
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.29 s | 74‑75 MB |
Subsequent App Load | 1.32 s | 66‑69 MB |
Inference | 4.88 ms | 5‑15 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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