Profile Job Results
Jobs
jg9lkw48g
Results Ready
Name
ffnet_78s
Target Device
- SA8255 (Proxy)
- Android 13
- Qualcomm® SA8255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 1024, 2048, 3]Completion Time
11/26/2024, 1:11:36 PM
Versions
- TensorFlow Lite: 2.17.0
- QNN TfLite Delegate: v2.28.2.241116104011_103376
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2024.11.22.0
Estimated Inference Time
23.2 ms
Estimated Peak Memory Usage
2 ‑ 32 MB
Compute Units
NPU
149
| Stage | Time | Memory |
|---|---|---|
First App Load | 4.79 s | 584‑585 MB |
Subsequent App Load | 5.16 s | 460‑695 MB |
Inference | 23.2 ms | 2‑32 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