Profile Job Results
Jobs
j2p0x1mep
Results Ready
Name
resnet18_quantized
Target Device
- QCS8250 (Proxy)
- Android 12
- Qualcomm® QCS8250
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: uint8[1, 224, 224, 3]Completion Time
8/27/2024, 8:36:19 AM
Versions
- TensorFlow Lite: 2.16.1
- Android: 11 (RP1A.200720.012)
- AI Hub: aihub-2024.08.23.0
Estimated Inference Time
7.11 ms
Estimated Peak Memory Usage
0 - 2 MB
Compute Units
NPU
41
| Stage | Time | Memory |
|---|---|---|
First App Load | 485 ms | 1-2 MB |
Subsequent App Load | 172 ms | 1-3 MB |
Inference | 7.11 ms | 0-2 MB |
| TensorFlow Lite | Value |
|---|---|
| number_of_threads | 4 |
| NNAPI Delegate | Value |
|---|---|
| accelerator_name | "qti-dsp" |
| execution_preference | kSustainedSpeed |
| allow_fp16 | true |
Sign up to run this model on a hosted Qualcomm® device!
Run on device