Profile Job Results
Jobs
jglknq0jp
Results Ready
Name
edgetam_EdgeTAMDecoder
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_embeddings: uint8[1, 64, 64, 256]high_res_features1: uint8[1, 256, 256, 32]high_res_features2: uint8[1, 128, 128, 64]sparse_embedding: uint8[1, 3, 256]Completion Time
3/7/2026, 8:29:39 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.43.0.260127150333_193827
- QNN TfLite Delegate: v2.43.0.260127150333_193827
- Qualcomm Linux: 1.7-ver.1.1
- AI Hub: aihub-2026.02.26.0
Estimated Inference Time
13.3 ms
Estimated Peak Memory Usage
0 ‑ 14 MB
Compute Units
NPU
832
| Stage | Time | Memory |
|---|---|---|
First App Load | 4.84 s | 161 MB |
Subsequent App Load | 175 ms | 10‑11 MB |
Inference | 13.3 ms | 0‑14 MB |
| TensorFlow Lite | 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