Profile Job Results
Jobs
j57x1exvg
Results Ready
Name
ffnet_40s_w8a8
Target Device
- QCS8550 (Proxy)
- Android 12
- Qualcomm® QCS8550
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 1024, 2048, 3]Completion Time
12/14/2025, 3:11:12 AM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.40.0.251030114326_189385
- QNN TfLite Delegate: v2.40.0.251030114326_189385
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2025.12.07.0
Estimated Inference Time
8.98 ms
Estimated Peak Memory Usage
1 ‑ 13 MB
Compute Units
NPU
99
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.36 s | 207‑208 MB |
Subsequent App Load | 1.34 s | 205‑209 MB |
Inference | 8.98 ms | 1‑13 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