Profile Job Results
Jobs
jpeozw01g
Results Ready
Name
sesr_m5_quantized
Target Device
- SA7255P ADP
- Android 14
- Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 128, 128, 3]Completion Time
3/11/2025, 8:18:00 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.32.0.250228225014_116386-auto
- QNN TfLite Delegate: v2.32.0.250228225014_116386-auto
- Android: 14 (UQ1A.240205.002)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00012-STD.PROD-5
- AI Hub: aihub-2025.03.06.0
Estimated Inference Time
12.9 ms
Estimated Peak Memory Usage
2 ‑ 14 MB
Compute Units
NPU
24
CPU
3
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.36 s | 18‑28 MB |
Subsequent App Load | 1.34 s | 18‑38 MB |
Inference | 12.9 ms | 2‑14 MB |
| TensorFlow Lite | Value |
|---|---|
| number_of_threads | 4 |
| QNN Delegate | Value |
|---|---|
| backend_type | kHtpBackend |
| log_level | kLogLevelWarn |
| htp_options.precision | kHtpFp16 |
| htp_options.useConvHmx | true |
| XNNPACK Delegate | Value |
|---|
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