| User | linuxferret | 
| Upload Date | November 01 2024 03:26 AM | 
| Views | 5 | 
| AI Information | |
|---|---|
| Framework | ONNX | 
| Backend | CPU | 
| Device | AMD Ryzen 9 3900 | 
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) | 
| Model | Gigabyte Technology Co., Ltd. AX370-Gaming K7 | 
| Motherboard | Gigabyte Technology Co., Ltd. AX370-Gaming K7 | 
| Power Plan | AMD Ryzen Balanced | 
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 3900 | 
| Topology | 1 Processor, 12 Cores, 24 Threads | 
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 | 
| Base Frequency | 3.10 GHz | 
| Cluster 1 | 12 Cores | 
| Memory Information | |
|---|---|
| Size | 64.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| Image Classification (SP) | 100% | 1004 186.8 IPS | |
| Image Classification (HP) | 100% | 355 65.9 IPS | |
| Image Classification (Q) | 96% | 2011 375.6 IPS | |
| Image Segmentation (SP) | 100% | 667 10.8 IPS | |
| Image Segmentation (HP) | 100% | 506 8.20 IPS | |
| Image Segmentation (Q) | 97% | 1988 32.3 IPS | |
| Pose Estimation (SP) | 100% | 8049 9.39 IPS | |
| Pose Estimation (HP) | 100% | 5049 5.89 IPS | |
| Pose Estimation (Q) | 87% | 8724 10.3 IPS | |
| Object Detection (SP) | 100% | 1279 101.5 IPS | |
| Object Detection (HP) | 100% | 434 34.4 IPS | |
| Object Detection (Q) | 86% | 1067 85.8 IPS | |
| Face Detection (SP) | 100% | 2027 24.1 IPS | |
| Face Detection (HP) | 100% | 1005 11.9 IPS | |
| Face Detection (Q) | 96% | 2945 35.1 IPS | |
| Depth Estimation (SP) | 100% | 5395 41.6 IPS | |
| Depth Estimation (HP) | 99% | 1627 12.5 IPS | |
| Depth Estimation (Q) | 77% | 4664 37.3 IPS | |
| Style Transfer (SP) | 100% | 14981 19.3 IPS | |
| Style Transfer (HP) | 100% | 12707 16.3 IPS | |
| Style Transfer (Q) | 87% | 13128 17.1 IPS | |
| Image Super-Resolution (SP) | 100% | 1648 60.8 IPS | |
| Image Super-Resolution (HP) | 100% | 1336 49.3 IPS | |
| Image Super-Resolution (Q) | 97% | 1756 65.1 IPS | |
| Text Classification (SP) | 100% | 822 1.10 KIPS | |
| Text Classification (HP) | 100% | 376 501.2 IPS | |
| Text Classification (Q) | 97% | 808 1.08 KIPS | |
| Machine Translation (SP) | 100% | 1354 23.3 IPS | |
| Machine Translation (HP) | 100% | 444 7.65 IPS | |
| Machine Translation (Q) | 60% | 1728 38.5 IPS |