Profile Job Results
Jobs
jpy4kmmlp
Results Ready
Name
edgetam_encoder
Target Device
- Dragonwing IQ-9075 EVK
- Qualcomm Linux 1.7
- Qualcomm® Dragonwing™ IQ-9075 | QCS9075
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 1024, 1024, 3]unnorm_coords: uint8[1, 2, 2]labels: uint8[1, 2]Completion Time
4/19/2026, 7:01:52 AM
Versions
- LiteRT: 1.4.2
- QAIRT: v2.45.0.260326154327
- QNN TfLite Delegate: v2.45.0.260326154327
- Qualcomm Linux: 1.7-ver.1.1
- AI Hub: aihub-2026.04.13.0
Estimated Inference Time
7.97 ms
Estimated Peak Memory Usage
4 ‑ 19 MB
Compute Units
NPU
309
| Stage | Time | Memory |
|---|---|---|
First App Load | 6.27 s | 160‑161 MB |
Subsequent App Load | 215 ms | 8‑9 MB |
Inference | 7.97 ms | 4‑19 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 |
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