Profile Job Results
Jobs
jgdn3nzl5
Results Ready
Name
face_det_lite_quantized
Target Device
- Snapdragon 8 Elite QRD
- Android 15
- Snapdragon® 8 Elite | SM8750
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
input: uint8[1, 480, 640, 1]Completion Time
3/11/2025, 5:44:44 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.32.0.250228225014_116386
- QNN TfLite Delegate: v2.32.0.250228225014_116386
- Android: 15 (AQ3A.241126.002)
- Build ID: Pakala.LA.1.0.r1-01152-STD.PROD-1
- AI Hub: aihub-2025.03.06.0
Estimated Inference Time
203 μs
Estimated Peak Memory Usage
0 ‑ 16 MB
Compute Units
NPU
90
| Stage | Time | Memory |
|---|---|---|
First App Load | 235 ms | 24‑31 MB |
Subsequent App Load | 225 ms | 0‑24 MB |
Inference | 203 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 |
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