Profile Job Results
Jobs
jp29kz1mg
Results Ready
Name
resnet_3d
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
video: float32[1, 16, 112, 112, 3]Completion Time
6/28/2025, 11:22:34 AM
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-2025.06.12.0
Estimated Inference Time
16.4 ms
Estimated Peak Memory Usage
28 ‑ 85 MB
Compute Units
NPU
53
CPU
4
| Stage | Time | Memory |
|---|---|---|
First App Load | 6.75 s | 886‑894 MB |
Subsequent App Load | 6.92 s | 870‑1,016 MB |
Inference | 16.4 ms | 28‑85 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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