Profile Job Results
Jobs
j579ykvng
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
7/25/2026, 1:25:09 PM
Versions
- Lite RT: 1.4.4
- QAIRT: v2.45.0.260326154327
- QNN TfLite Delegate: v2.45.0.260326154327
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2026.07.17.0
Estimated Inference Time
24.8 ms
Estimated Peak Memory Usage
0 ‑ 3 MB
Compute Units
NPU
435
| Stage | Time | Memory |
|---|---|---|
First App Load | 8.47 s | 215‑216 MB |
Subsequent App Load | 237 ms | 7‑32 MB |
Inference | 24.8 ms | 0‑3 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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