Profile Job Results
Jobs
jp4lmvx15
Results Ready
Name
ffnet_54s_quantized
Target Device
- QCS6490 (Proxy)
- Android 12
- Qualcomm® QCS6490
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 1024, 2048, 3]Completion Time
11/26/2024, 1:16:05 PM
Versions
- TensorFlow Lite: 2.17.0
- QNN TfLite Delegate: v2.28.2.241116104011_103376
- Android: 12 (SP1A.210812.016)
- AI Hub: aihub-2024.11.22.0
Estimated Inference Time
31.1 ms
Estimated Peak Memory Usage
0 ‑ 32 MB
Compute Units
NPU
120
| Stage | Time | Memory |
|---|---|---|
First App Load | 2.00 s | 205‑213 MB |
Subsequent App Load | 2.61 s | 173‑217 MB |
Inference | 31.1 ms | 0‑32 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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