Profile Job Results
Jobs
jp3e19rl5
Results Ready
Name
sequencer2d_float
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: float32[1, 224, 224, 3]Completion Time
10/25/2025, 3:58:45 PM
Options
--qairt_version latestVersions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.39.0.250925215840_163802
- QNN TfLite Delegate: v2.39.0.250925215840_163802
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2025.10.21.0
Estimated Inference Time
13.3 ms
Estimated Peak Memory Usage
0 ‑ 422 MB
Compute Units
NPU
17706
| Stage | Time | Memory |
|---|---|---|
First App Load | 34.5 s | 790‑798 MB |
Subsequent App Load | 36.8 s | 0‑1 GB |
Inference | 13.3 ms | 0‑422 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 |
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