| User | SidAMDX3D | 
| Upload Date | August 01 2025 04:39 PM | 
| Views | 8 | 
| AI Information | |
|---|---|
| Framework | ONNX | 
| Backend | CPU | 
| Device | AMD Ryzen 9 7950X3D | 
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) | 
| Model | Gigabyte Technology Co., Ltd. B650I AORUS ULTRA | 
| Motherboard | Gigabyte Technology Co., Ltd. B650I AORUS ULTRA | 
| Power Plan | Balanced | 
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D | 
| Topology | 1 Processor, 16 Cores, 32 Threads | 
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 | 
| Base Frequency | 4.20 GHz | 
| Cluster 1 | 16 Cores | 
| Memory Information | |
|---|---|
| Size | 32.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| Image Classification (SP) | 100% | 4504 837.7 IPS | |
| Image Classification (HP) | 100% | 597 111.1 IPS | |
| Image Classification (Q) | 99% | 8121 1.51 KIPS | |
| Image Segmentation (SP) | 100% | 2152 34.9 IPS | |
| Image Segmentation (HP) | 100% | 773 12.5 IPS | |
| Image Segmentation (Q) | 98% | 10854 176.5 IPS | |
| Pose Estimation (SP) | 100% | 7985 9.32 IPS | |
| Pose Estimation (HP) | 100% | 6561 7.66 IPS | |
| Pose Estimation (Q) | 94% | 29256 34.3 IPS | |
| Object Detection (SP) | 100% | 3591 284.9 IPS | |
| Object Detection (HP) | 100% | 685 54.3 IPS | |
| Object Detection (Q) | 86% | 9182 737.9 IPS | |
| Face Detection (SP) | 100% | 10759 127.8 IPS | |
| Face Detection (HP) | 100% | 1553 18.5 IPS | |
| Face Detection (Q) | 97% | 10716 127.8 IPS | |
| Depth Estimation (SP) | 100% | 10492 80.8 IPS | |
| Depth Estimation (HP) | 99% | 2325 17.9 IPS | |
| Depth Estimation (Q) | 78% | 19598 156.4 IPS | |
| Style Transfer (SP) | 100% | 19480 25.0 IPS | |
| Style Transfer (HP) | 100% | 17169 22.1 IPS | |
| Style Transfer (Q) | 98% | 38418 49.5 IPS | |
| Image Super-Resolution (SP) | 100% | 2791 103.0 IPS | |
| Image Super-Resolution (HP) | 100% | 2574 95.0 IPS | |
| Image Super-Resolution (Q) | 99% | 4648 172.1 IPS | |
| Text Classification (SP) | 100% | 1610 2.15 KIPS | |
| Text Classification (HP) | 100% | 739 986.0 IPS | |
| Text Classification (Q) | 97% | 1383 1.85 KIPS | |
| Machine Translation (SP) | 100% | 3048 52.5 IPS | |
| Machine Translation (HP) | 100% | 940 16.2 IPS | |
| Machine Translation (Q) | 65% | 3586 72.1 IPS |