Profile Job Results
Jobs
jg9dz7xv5
Results Ready
Name
edgetam_memory_encoder
Target Device
- SA8775P ADP
- Android 14
- Qualcomm® SA8775P
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, 10:22:45 AM
Versions
- Lite RT: 1.4.5
- QAIRT: v2.45.0.260326154327
- QNN TfLite Delegate: v2.45.0.260326154327
- Android: 14 (UAG2.240908.001)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00016-STD.PROD-3
- AI Hub: aihub-2026.07.31.1
Estimated Inference Time
28.7 ms
Estimated Peak Memory Usage
0 ‑ 311 MB
Compute Units
NPU
433
| Stage | Time | Memory |
|---|---|---|
First App Load | 28.4 s | 254‑259 MB |
Subsequent App Load | 437 ms | 36‑350 MB |
Inference | 28.7 ms | 0‑311 MB |
| Lite RT | Value |
|---|---|
| number_of_threads | 4 |
| QNN Delegate | Value |
|---|---|
| backend_type | kHtpBackend |
| log_level | kLogLevelWarn |
| htp_options.precision | kHtpFp16 |
| htp_options.optimization_strategy | kHtpOptimizeForInferenceO3 |
| htp_options.useConvHmx | true |
| htp_options.device_id | 1 |
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