Profile Job Results
Jobs
jgdq79v65
Results Ready
Name
resnet18
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: float32[1, 224, 224, 3]Completion Time
8/2/2025, 5:24:38 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.34.2.250528164111_119506
- QNN TfLite Delegate: v2.34.2.250528164111_119506
- Android: 15 (AQ3A.241126.002)
- Build ID: Pakala.LA.1.0.r1-01152-STD.PROD-1
- AI Hub: aihub-2025.07.25.0
Estimated Inference Time
879 μs
Estimated Peak Memory Usage
0 ‑ 23 MB
Compute Units
NPU
38
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.12 s | 196‑202 MB |
Subsequent App Load | 1.13 s | 27‑53 MB |
Inference | 879 μs | 0‑23 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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