Profile Job Results
Jobs
jpym1q4lp
Results Ready
Name
edgetam_memory_encoder
Target Device
- Samsung Galaxy S22 5G
- Android 12
- Snapdragon® 8 Gen 1 | SM8450
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
7/25/2026, 1:24:08 PM
Versions
- Lite RT: 1.4.4
- QAIRT: v2.45.0.260326154327
- QNN TfLite Delegate: v2.45.0.260326154327
- Android: 12 (SP1A.210812.016)
- AI Hub: aihub-2026.07.17.0
Estimated Inference Time
37.9 ms
Estimated Peak Memory Usage
0 ‑ 321 MB
Compute Units
NPU
435
| Stage | Time | Memory |
|---|---|---|
First App Load | 9.57 s | 292‑301 MB |
Subsequent App Load | 187 ms | 8‑331 MB |
Inference | 37.9 ms | 0‑321 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