Profile Job Results
Jobs
jp3qnm9l5
Results Ready
Name
edgetam_encoder
Target Device
- QCS8550 (Proxy)
- Android 12
- Qualcomm® QCS8550
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image: uint8[1, 1024, 1024, 3]unnorm_coords: uint8[1, 2, 2]labels: uint8[1, 2]Completion Time
5/3/2026, 2:49:58 AM
Versions
- LiteRT: 1.4.3
- QAIRT: v2.45.0.260326154327
- QNN TfLite Delegate: v2.45.0.260326154327
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2026.04.25.0
Estimated Inference Time
7.03 ms
Estimated Peak Memory Usage
4 ‑ 6 MB
Compute Units
NPU
308
| Stage | Time | Memory |
|---|---|---|
First App Load | 5.34 s | 206‑208 MB |
Subsequent App Load | 245 ms | 1‑100 MB |
Inference | 7.03 ms | 4‑6 MB |
| Lite RT | 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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