Profile Job Results
Jobs
jp82x7vxp
Results Ready
Name
resnet_3d_quantized
Target Device
- Samsung Galaxy S24 (Family)
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
video: uint8[1, 16, 112, 112, 3]Completion Time
3/11/2025, 9:56:59 PM
Versions
- QAIRT: v2.32.0.250228225014_116386
- QNN Backend API: 5.32.0
- QNN Core API: 2.24.0
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2025.03.06.0
Estimated Inference Time
3.01 ms
Estimated Peak Memory Usage
1 ‑ 20 MB
Compute Units
NPU
53
| Stage | Time | Memory |
|---|---|---|
First App Load | 136 ms | 0‑8 MB |
Subsequent App Load | 134 ms | 0‑7 MB |
Inference | 3.01 ms | 1‑20 MB |
| QNN | Value |
|---|---|
| context_options.htp_options.performance_mode | BURST |
| default_graph_options.htp_options.precision | FLOAT16 |
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