| User | IronLad84 | 
| Upload Date | February 27 2025 12:15 AM | 
| Views | 7 | 
| AI Information | |
|---|---|
| Framework | OpenVINO | 
| Backend | CPU | 
| Device | AMD Ryzen 9 9900X 12-Core Processor | 
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) | 
| Model | Gigabyte Technology Co., Ltd. X870 GAMING WIFI6 | 
| Motherboard | Gigabyte Technology Co., Ltd. X870 GAMING WIFI6 | 
| Power Plan | Ultimate Performance | 
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X 12-Core Processor | 
| Topology | 1 Processor, 12 Cores, 24 Threads | 
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 | 
| Base Frequency | 4.40 GHz | 
| Cluster 1 | 12 Cores | 
| Memory Information | |
|---|---|
| Size | 32.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| Image Classification (SP) | 100% | 7884 1.47 KIPS | |
| Image Classification (HP) | 100% | 7876 1.46 KIPS | |
| Image Classification (Q) | 100% | 14979 2.79 KIPS | |
| Image Segmentation (SP) | 100% | 8523 138.2 IPS | |
| Image Segmentation (HP) | 100% | 8924 144.7 IPS | |
| Image Segmentation (Q) | 99% | 22409 363.3 IPS | |
| Pose Estimation (SP) | 100% | 24774 28.9 IPS | |
| Pose Estimation (HP) | 100% | 25068 29.3 IPS | |
| Pose Estimation (Q) | 98% | 98712 115.6 IPS | |
| Object Detection (SP) | 100% | 8729 692.4 IPS | |
| Object Detection (HP) | 100% | 8768 695.5 IPS | |
| Object Detection (Q) | 88% | 18169 1.46 KIPS | |
| Face Detection (SP) | 100% | 18390 218.5 IPS | |
| Face Detection (HP) | 100% | 18194 216.2 IPS | |
| Face Detection (Q) | 100% | 48982 582.0 IPS | |
| Depth Estimation (SP) | 100% | 22114 170.4 IPS | |
| Depth Estimation (HP) | 99% | 21841 168.3 IPS | |
| Depth Estimation (Q) | 88% | 60685 472.2 IPS | |
| Style Transfer (SP) | 100% | 64937 83.5 IPS | |
| Style Transfer (HP) | 100% | 65337 84.0 IPS | |
| Style Transfer (Q) | 98% | 233339 300.9 IPS | |
| Image Super-Resolution (SP) | 100% | 12942 477.9 IPS | |
| Image Super-Resolution (HP) | 100% | 13345 492.8 IPS | |
| Image Super-Resolution (Q) | 99% | 36197 1.34 KIPS | |
| Text Classification (SP) | 100% | 5132 6.85 KIPS | |
| Text Classification (HP) | 100% | 5168 6.90 KIPS | |
| Text Classification (Q) | 92% | 6008 8.07 KIPS | |
| Machine Translation (SP) | 100% | 7462 128.5 IPS | |
| Machine Translation (HP) | 100% | 7445 128.2 IPS | |
| Machine Translation (Q) | 100% | 7457 128.4 IPS |