Profile Job Results
Jobs
jp82xm9kp
Results Ready
Name
resnet50_quantized
Target Device
- Samsung Galaxy S23 (Family)
- Android 13
- Snapdragon® 8 Gen 2 | SM8550
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: uint8[1, 224, 224, 3]Completion Time
3/11/2025, 8:21:45 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.32.0.250228225014_116386
- QNN TfLite Delegate: v2.32.0.250228225014_116386
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2025.03.06.0
Estimated Inference Time
778 μs
Estimated Peak Memory Usage
0 ‑ 93 MB
Compute Units
NPU
82
| Stage | Time | Memory |
|---|---|---|
First App Load | 526 ms | 120‑122 MB |
Subsequent App Load | 549 ms | 141‑143 MB |
Inference | 778 μs | 0‑93 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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