Profile Job Results
Jobs
jgnl6ojq5
Results Ready
Name
resnet101
Target Device
- Snapdragon 8 Elite QRD
- Android 15
- Snapdragon® 8 Elite | SM8750
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: uint8[1, 224, 224, 3]Completion Time
4/8/2025, 2:18:25 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.32.0.250228225014_116386
- QNN TfLite Delegate: v2.32.0.250228225014_116386
- Android: 15 (AQ3A.241126.002)
- Build ID: Pakala.LA.1.0.r1-01152-STD.PROD-1
- AI Hub: aihub-2025.03.24.0
Estimated Inference Time
754 ms
Estimated Peak Memory Usage
12 ‑ 50,240 GB
Compute Units
NPU
150
| Stage | Time | Memory |
|---|---|---|
First App Load | 9.51 min | 255,500‑262,563 GB |
Subsequent App Load | 9.02 min | 246,444‑301,272 GB |
Inference | 754 ms | 12‑50,240 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.useConvHmx | true |
Sign up to run this model on a hosted Qualcomm® device!
Run on device