Profile Job Results
Jobs
jgnxm42m5
Results Ready
Name
edgetam_memory_encoder
Target Device
- Dragonwing IQ-9075 EVK
- Qualcomm Linux 1.7
- Qualcomm® Dragonwing™ IQ-9075 | QCS9075
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
5/31/2026, 5:58:37 PM
Versions
- LiteRT: 1.4.3
- QAIRT: v2.45.0.260326154327
- QNN TfLite Delegate: v2.45.0.260326154327
- Qualcomm Linux: 1.7-ver.1.1
- AI Hub: aihub-2026.05.27.0
Estimated Inference Time
26.2 ms
Estimated Peak Memory Usage
0 ‑ 16 MB
Compute Units
NPU
435
| Stage | Time | Memory |
|---|---|---|
First App Load | 17.8 s | 406‑407 MB |
Subsequent App Load | 213 ms | 10‑11 MB |
Inference | 26.2 ms | 0‑16 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 | kHtpOptimizeForInference |
| htp_options.useConvHmx | true |
Sign up to run this model on a hosted Qualcomm® device!
Run on device