| User | oscarbg81 | 
| Upload Date | September 11 2024 08:54 PM | 
| Views | 25 | 
| AI Information | |
|---|---|
| Framework | OpenVINO | 
| Backend | CPU | 
| Device | AMD Ryzen 9 7950X 16-Core Processor | 
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Insider Preview (64-bit) | 
| Model | ASUS System Product Name | 
| Motherboard | ASUSTeK COMPUTER INC. ProArt X670E-CREATOR WIFI | 
| Power Plan | Equilibrado | 
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X | 
| Topology | 1 Processor, 16 Cores, 32 Threads | 
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 | 
| Base Frequency | 4.50 GHz | 
| Cluster 1 | 16 Cores | 
| Memory Information | |
|---|---|
| Size | 96.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| Image Classification (SP) | 100% | 4921 915.2 IPS | |
| Image Classification (HP) | 100% | 4972 924.6 IPS | |
| Image Classification (Q) | 100% | 11077 2.06 KIPS | |
| Image Segmentation (SP) | 100% | 5075 82.3 IPS | |
| Image Segmentation (HP) | 100% | 5218 84.6 IPS | |
| Image Segmentation (Q) | 99% | 10593 171.7 IPS | |
| Pose Estimation (SP) | 100% | 15194 17.7 IPS | |
| Pose Estimation (HP) | 100% | 15303 17.9 IPS | |
| Pose Estimation (Q) | 98% | 60593 70.9 IPS | |
| Object Detection (SP) | 100% | 5438 431.4 IPS | |
| Object Detection (HP) | 100% | 5499 436.2 IPS | |
| Object Detection (Q) | 88% | 12536 1.00 KIPS | |
| Face Detection (SP) | 100% | 13717 163.0 IPS | |
| Face Detection (HP) | 100% | 14263 169.5 IPS | |
| Face Detection (Q) | 100% | 33698 400.4 IPS | |
| Depth Estimation (SP) | 100% | 15025 115.8 IPS | |
| Depth Estimation (HP) | 99% | 15037 115.8 IPS | |
| Depth Estimation (Q) | 88% | 41259 321.0 IPS | |
| Style Transfer (SP) | 100% | 39645 51.0 IPS | |
| Style Transfer (HP) | 100% | 40082 51.5 IPS | |
| Style Transfer (Q) | 98% | 143919 185.6 IPS | |
| Image Super-Resolution (SP) | 100% | 7936 293.1 IPS | |
| Image Super-Resolution (HP) | 100% | 7908 292.0 IPS | |
| Image Super-Resolution (Q) | 99% | 23185 858.6 IPS | |
| Text Classification (SP) | 100% | 3861 5.15 KIPS | |
| Text Classification (HP) | 100% | 3844 5.13 KIPS | |
| Text Classification (Q) | 92% | 4594 6.17 KIPS | |
| Machine Translation (SP) | 100% | 5055 87.1 IPS | |
| Machine Translation (HP) | 100% | 5038 86.8 IPS | |
| Machine Translation (Q) | 100% | 5303 91.3 IPS |