Profile Job Results
Jobs
jgnxjl0q5
Results Ready
Name
edgetam_memory_encoder
Target Device
- QCS8550 (Proxy)
- Android 12
- Qualcomm® 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
6/14/2026, 2:24:59 AM
Versions
- LiteRT: 1.4.4
- QAIRT: v2.45.0.260326154327
- QNN TfLite Delegate: v2.45.0.260326154327
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2026.06.08.2
Estimated Inference Time
24.7 ms
Estimated Peak Memory Usage
0 ‑ 21 MB
Compute Units
NPU
435
| Stage | Time | Memory |
|---|---|---|
First App Load | 10.4 s | 324‑325 MB |
Subsequent App Load | 249 ms | 7‑28 MB |
Inference | 24.7 ms | 0‑21 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 |
Sign up to run this model on a hosted Qualcomm® device!
Run on device