Profile Job Results
Jobs
jp319m9mg
Results Ready
Name
resnet50
Target Device
- Samsung Galaxy S23
- Android 13
- Snapdragon® 8 Gen 2 | SM8550
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: float32[1, 224, 224, 3]Completion Time
8/23/2025, 10:25:28 PM
Options
--qairt_version latestVersions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.37.0.250724175447_124859
- QNN TfLite Delegate: v2.37.0.250724175447_124859
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2025.08.21.0
Estimated Inference Time
2.27 ms
Estimated Peak Memory Usage
0 ‑ 364 MB
Compute Units
NPU
79
| Stage | Time | Memory |
|---|---|---|
First App Load | 2.24 s | 398‑399 MB |
Subsequent App Load | 2.22 s | 424‑426 MB |
Inference | 2.27 ms | 0‑364 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 |
Sign up to run this model on a hosted Qualcomm® device!
Run on device