| User | boriga7 | 
| Upload Date | June 24 2025 01:14 PM | 
| Views | 10 | 
| AI Information | |
|---|---|
| Framework | OpenVINO | 
| Backend | CPU | 
| Device | AMD Ryzen 9 5950X 16-Core Processor | 
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise (64-bit) | 
| Model | Gigabyte Technology Co., Ltd. B550 AORUS ELITE AX V2 | 
| Motherboard | Gigabyte Technology Co., Ltd. B550 AORUS ELITE AX V2 | 
| Power Plan | Balanced | 
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X | 
| Topology | 1 Processor, 16 Cores, 32 Threads | 
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 | 
| Base Frequency | 3.40 GHz | 
| Cluster 1 | 16 Cores | 
| Memory Information | |
|---|---|
| Size | 64.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| Image Classification (SP) | 100% | 3874 720.5 IPS | |
| Image Classification (HP) | 100% | 3565 662.9 IPS | |
| Image Classification (Q) | 100% | 6293 1.17 KIPS | |
| Image Segmentation (SP) | 100% | 5299 85.9 IPS | |
| Image Segmentation (HP) | 100% | 5426 88.0 IPS | |
| Image Segmentation (Q) | 99% | 10365 168.5 IPS | |
| Pose Estimation (SP) | 100% | 12106 14.1 IPS | |
| Pose Estimation (HP) | 100% | 12176 14.2 IPS | |
| Pose Estimation (Q) | 94% | 26404 31.0 IPS | |
| Object Detection (SP) | 100% | 4360 345.9 IPS | |
| Object Detection (HP) | 100% | 3981 315.8 IPS | |
| Object Detection (Q) | 87% | 7146 573.1 IPS | |
| Face Detection (SP) | 100% | 10734 127.5 IPS | |
| Face Detection (HP) | 100% | 10191 121.1 IPS | |
| Face Detection (Q) | 97% | 22193 264.6 IPS | |
| Depth Estimation (SP) | 100% | 11468 88.4 IPS | |
| Depth Estimation (HP) | 99% | 11663 89.9 IPS | |
| Depth Estimation (Q) | 81% | 22724 179.2 IPS | |
| Style Transfer (SP) | 100% | 34743 44.7 IPS | |
| Style Transfer (HP) | 100% | 34565 44.4 IPS | |
| Style Transfer (Q) | 98% | 73131 94.3 IPS | |
| Image Super-Resolution (SP) | 100% | 6679 246.6 IPS | |
| Image Super-Resolution (HP) | 100% | 6616 244.3 IPS | |
| Image Super-Resolution (Q) | 98% | 12939 479.3 IPS | |
| Text Classification (SP) | 100% | 2781 3.71 KIPS | |
| Text Classification (HP) | 100% | 2802 3.74 KIPS | |
| Text Classification (Q) | 91% | 247 332.7 IPS | |
| Machine Translation (SP) | 100% | 3266 56.3 IPS | |
| Machine Translation (HP) | 100% | 3232 55.7 IPS | |
| Machine Translation (Q) | 100% | 3304 56.9 IPS |