Profile Job Results
Jobs
jp27yeqm5
Results Ready
Name
stereonet
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, 786, 490, 2]Completion Time
3/14/2026, 11:27:22 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
313 ms
Estimated Peak Memory Usage
0 ‑ 2 GB
Compute Units
NPU
397
CPU
1
| Stage | Time | Memory |
|---|---|---|
First App Load | 5.03 min | 2 GB |
Subsequent App Load | 448 ms | 0‑2 GB |
Inference | 313 ms | 0‑2 GB |
| 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 |
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