Profile Job Results
Jobs
j5q6nl17p
Results Ready
Name
facemap_3dmm_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: uint8[1, 3, 128, 128]Completion Time
1/8/2025, 7:22:50 AM
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-2025.01.04.0
Estimated Inference Time
128 μs
Estimated Peak Memory Usage
0 ‑ 16 MB
Compute Units
NPU
43
| Stage | Time | Memory |
|---|---|---|
First App Load | 256 ms | 10‑17 MB |
Subsequent App Load | 200 ms | 0‑14 MB |
Inference | 128 μs | 0‑16 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