Profile Job Results
Jobs
jpyxdz645
Results Ready
Name
edgetam_memory_encoder
Target Device
- QCS8550 (Proxy)
- Android 12
- Qualcomm® Dragonwing™ QCS8550
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
pix_feat: float32[1, 256, 64, 64]mask_for_mem: float32[1, 1, 1024, 1024]Completion Time
8/22/2026, 1:43:32 PM
Versions
- Lite RT: 1.4.5
- QAIRT: v2.45.0.260326154327
- QNN TfLite Delegate: v2.45.0.260326154327
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2026.08.14.0
Estimated Inference Time
25.0 ms
Estimated Peak Memory Usage
0 ‑ 11 MB
Compute Units
NPU
433
| Stage | Time | Memory |
|---|---|---|
First App Load | 8.53 s | 209‑211 MB |
Subsequent App Load | 243 ms | 8‑13 MB |
Inference | 25.0 ms | 0‑11 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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