Profile Job Results
Jobs
jgznlq8zg
Results Ready
Name
edgetam_memory_encoder
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
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
8/8/2026, 10:26:21 AM
Versions
- Lite RT: 1.4.5
- QAIRT: v2.45.0.260326154327
- QNN TfLite Delegate: v2.45.0.260326154327
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2026.07.31.1
Estimated Inference Time
19.6 ms
Estimated Peak Memory Usage
0 ‑ 361 MB
Compute Units
NPU
433
| Stage | Time | Memory |
|---|---|---|
First App Load | 10.4 s | 263‑270 MB |
Subsequent App Load | 193 ms | 53‑417 MB |
Inference | 19.6 ms | 0‑361 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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