Profile Job Results
Jobs
jgj1jzveg
Results Ready
Name
edgetam_memory_encoder
Target Device
- Samsung Galaxy S25
- Android 15
- Snapdragon® 8 Elite for Galaxy | SM8750-AC
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, 2:21:54 AM
Versions
- LiteRT: 1.4.4
- QAIRT: v2.45.0.260326154327
- QNN TfLite Delegate: v2.45.0.260326154327
- Android: 15 (AP3A.240905.015.A2)
- AI Hub: aihub-2026.06.08.2
Estimated Inference Time
13.5 ms
Estimated Peak Memory Usage
0 ‑ 316 MB
Compute Units
NPU
435
| Stage | Time | Memory |
|---|---|---|
First App Load | 9.89 s | 388‑397 MB |
Subsequent App Load | 119 ms | 99‑416 MB |
Inference | 13.5 ms | 0‑316 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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