Profile Job Results
Jobs
j5wd6qdjg
Results Ready
Name
pspnet
Target Device
- Snapdragon 8 Elite Gen 5 QRD
- Android 16
- Snapdragon® 8 Elite Gen 5 | SM8850
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 473, 473, 3]Completion Time
3/14/2026, 2:59:24 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.43.0.260127150333_193827
- QNN TfLite Delegate: v2.43.0.260127150333_193827
- Android: 16 (BQ2A.251217.002-BP2A.250705.008)
- Build ID: Kaanapali.LA.1.0.r1-01100-STD.PROD-1
- AI Hub: aihub-2026.03.09.0
Estimated Inference Time
17.7 ms
Estimated Peak Memory Usage
32 ‑ 284 MB
Compute Units
NPU
197
| Stage | Time | Memory |
|---|---|---|
First App Load | 5.95 s | 327‑334 MB |
Subsequent App Load | 113 ms | 65‑320 MB |
Inference | 17.7 ms | 32‑284 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.optimization_strategy | kHtpOptimizeForInferenceO3 |
| htp_options.useConvHmx | true |
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