Profile Job Results
Jobs
jgj0n2l7p
Results Ready
Name
pointnet
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 3, 1024]Completion Time
3/14/2026, 1:39:13 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.43.0.260127150333_193827
- QNN TfLite Delegate: v2.43.0.260127150333_193827
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2026.03.09.0
Estimated Inference Time
412 μs
Estimated Peak Memory Usage
0 ‑ 43 MB
Compute Units
NPU
29
| Stage | Time | Memory |
|---|---|---|
First App Load | 439 ms | 78‑85 MB |
Subsequent App Load | 180 ms | 0‑45 MB |
Inference | 412 μs | 0‑43 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.optimization_strategy | kHtpOptimizeForInferenceO3 |
| htp_options.useConvHmx | true |
Sign up to run this model on a hosted Qualcomm® device!
Run on device