| User | Redwoodz | 
| Upload Date | November 14 2024 03:36 PM | 
| Views | 7 | 
| AI Information | |
|---|---|
| Framework | ONNX | 
| Backend | CPU | 
| Device | AMD Ryzen 5 9600X 6-Core Processor | 
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) | 
| Model | ASRock B650E Steel Legend WiFi | 
| Motherboard | ASRock B650E Steel Legend WiFi | 
| Power Plan | High performance | 
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 9600X 6-Core Processor | 
| Topology | 1 Processor, 6 Cores, 12 Threads | 
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 | 
| Base Frequency | 3.90 GHz | 
| Cluster 1 | 6 Cores | 
| Memory Information | |
|---|---|
| Size | 32.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| Image Classification (SP) | 100% | 3852 716.3 IPS | |
| Image Classification (HP) | 100% | 945 175.7 IPS | |
| Image Classification (Q) | 99% | 7864 1.47 KIPS | |
| Image Segmentation (SP) | 100% | 2404 39.0 IPS | |
| Image Segmentation (HP) | 100% | 1646 26.7 IPS | |
| Image Segmentation (Q) | 98% | 4605 74.9 IPS | |
| Pose Estimation (SP) | 100% | 13171 15.4 IPS | |
| Pose Estimation (HP) | 100% | 9737 11.4 IPS | |
| Pose Estimation (Q) | 95% | 42601 49.9 IPS | |
| Object Detection (SP) | 100% | 4323 342.9 IPS | |
| Object Detection (HP) | 100% | 1208 95.8 IPS | |
| Object Detection (Q) | 88% | 4438 355.7 IPS | |
| Face Detection (SP) | 100% | 5145 61.1 IPS | |
| Face Detection (HP) | 100% | 2767 32.9 IPS | |
| Face Detection (Q) | 97% | 6955 82.9 IPS | |
| Depth Estimation (SP) | 100% | 13212 101.8 IPS | |
| Depth Estimation (HP) | 99% | 3862 29.8 IPS | |
| Depth Estimation (Q) | 77% | 14932 119.5 IPS | |
| Style Transfer (SP) | 100% | 28183 36.2 IPS | |
| Style Transfer (HP) | 100% | 22149 28.5 IPS | |
| Style Transfer (Q) | 98% | 36194 46.7 IPS | |
| Image Super-Resolution (SP) | 100% | 5590 206.4 IPS | |
| Image Super-Resolution (HP) | 100% | 4418 163.1 IPS | |
| Image Super-Resolution (Q) | 99% | 7090 262.5 IPS | |
| Text Classification (SP) | 100% | 3287 4.39 KIPS | |
| Text Classification (HP) | 100% | 1192 1.59 KIPS | |
| Text Classification (Q) | 97% | 2718 3.64 KIPS | |
| Machine Translation (SP) | 100% | 4364 75.2 IPS | |
| Machine Translation (HP) | 100% | 1019 17.6 IPS | |
| Machine Translation (Q) | 60% | 4640 103.5 IPS |