Profile Job Results
Jobs
j56n9vovg
Results Ready
Name
pidnet_float
Target Device
- Snapdragon 8 Elite Gen 5 QRD
- Android 16
- Snapdragon® 8 Elite Gen 5 | SM8850
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 1024, 2048, 3]Completion Time
12/13/2025, 11:15:59 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.40.0.251030114326_189385
- QNN TfLite Delegate: v2.40.0.251030114326_189385
- Android: 16 (BQ2A.250705.001-BP2A.250605.031.A3)
- Build ID: Kaanapali.LA.1.0.r1-00850-STD.PROD-1
- AI Hub: aihub-2025.12.07.0
Estimated Inference Time
21.8 ms
Estimated Peak Memory Usage
1 ‑ 61 MB
Compute Units
NPU
169
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.73 s | 437‑444 MB |
Subsequent App Load | 1.77 s | 335‑499 MB |
Inference | 21.8 ms | 1‑61 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.useConvHmx | true |
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