Profile Job Results
Jobs
jp4lmxol5
Results Ready
Name
resnet18_quantized
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
11/26/2024, 4:11:23 PM
Versions
- TensorFlow Lite: 2.17.0
- QNN TfLite Delegate: v2.28.2.241116104011_103376
- Android: 15 (AQ3A.240829.003)
- Build ID: Pakala.LA.1.0.r1-01032-STD.PROD-1
- AI Hub: aihub-2024.11.22.0
Estimated Inference Time
303 μs
Estimated Peak Memory Usage
0 ‑ 9 MB
Compute Units
NPU
41
Stage | Time | Memory |
---|---|---|
First App Load | 219 ms | 62‑69 MB |
Subsequent App Load | 173 ms | 24‑40 MB |
Inference | 303 μs | 0‑9 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