Profile Job Results
Jobs
jglwme7mp
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: uint8[1, 256, 64, 64]mask_for_mem: uint8[1, 1, 1024, 1024]Completion Time
10/3/2026, 7:18:02 PM
Versions
- Lite RT: 1.4.2
- QAIRT: v2.50.0.260828221209
- QNN TfLite Delegate: v2.50.0.260828221209
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2026.09.25.0
Estimated Inference Time
5.86 ms
Estimated Peak Memory Usage
1 ‑ 276 MB
Compute Units
NPU
483
CPU
3
| Stage | Time | Memory |
|---|---|---|
First App Load | 5.37 s | 193‑200 MB |
Subsequent App Load | 189 ms | 39‑317 MB |
Inference | 5.86 ms | 1‑276 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 |
| XNNPACK Delegate | Value |
|---|
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