Profile Job Results
Jobs
j5ww790j5
Results Ready
Name
resnet_3d
Target Device
- QCS8550 (Proxy)
- Android 12
- Qualcomm® QCS8550
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
video: float32[1, 16, 112, 112, 3]Completion Time
3/11/2025, 9:45:54 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.32.0.250228225014_116386
- QNN TfLite Delegate: v2.32.0.250228225014_116386
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2025.03.06.0
Estimated Inference Time
22.1 ms
Estimated Peak Memory Usage
3 ‑ 904 MB
Compute Units
NPU
53
CPU
4
| Stage | Time | Memory |
|---|---|---|
First App Load | 6.52 s | 789‑790 MB |
Subsequent App Load | 6.52 s | 805‑808 MB |
Inference | 22.1 ms | 3‑904 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 |
| XNNPACK Delegate | Value |
|---|
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