| User | pszuszki | 
| Upload Date | July 31 2025 08:22 PM | 
| Views | 8 | 
| AI Information | |
|---|---|
| Framework | ONNX | 
| Backend | DirectML | 
| Device | NVIDIA GeForce RTX 3090 | 
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) | 
| Model | Micro-Star International Co., Ltd. MS-7D75 | 
| Motherboard | Micro-Star International Co., Ltd. MAG B650 TOMAHAWK WIFI (MS-7D75) | 
| Power Plan | Zrwnowaony | 
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D | 
| Topology | 1 Processor, 8 Cores, 16 Threads | 
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 | 
| Base Frequency | 4.20 GHz | 
| Cluster 1 | 8 Cores | 
| Memory Information | |
|---|---|
| Size | 64.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| Image Classification (SP) | 100% | 10122 1.88 KIPS | |
| Image Classification (HP) | 99% | 14044 2.62 KIPS | |
| Image Classification (Q) | 100% | 6668 1.24 KIPS | |
| Image Segmentation (SP) | 100% | 19533 316.6 IPS | |
| Image Segmentation (HP) | 100% | 29035 470.7 IPS | |
| Image Segmentation (Q) | 98% | 13397 217.9 IPS | |
| Pose Estimation (SP) | 100% | 169730 198.0 IPS | |
| Pose Estimation (HP) | 100% | 367320 428.6 IPS | |
| Pose Estimation (Q) | 96% | 127959 149.9 IPS | |
| Object Detection (SP) | 100% | 13535 1.07 KIPS | |
| Object Detection (HP) | 100% | 19015 1.51 KIPS | |
| Object Detection (Q) | 85% | 8850 711.9 IPS | |
| Face Detection (SP) | 100% | 37519 445.8 IPS | |
| Face Detection (HP) | 100% | 54173 643.7 IPS | |
| Face Detection (Q) | 97% | 23692 282.5 IPS | |
| Depth Estimation (SP) | 100% | 64410 496.2 IPS | |
| Depth Estimation (HP) | 99% | 106110 817.5 IPS | |
| Depth Estimation (Q) | 77% | 37544 300.7 IPS | |
| Style Transfer (SP) | 100% | 275802 354.5 IPS | |
| Style Transfer (HP) | 100% | 643264 826.9 IPS | |
| Style Transfer (Q) | 98% | 194718 251.1 IPS | |
| Image Super-Resolution (SP) | 100% | 39168 1.45 KIPS | |
| Image Super-Resolution (HP) | 100% | 54955 2.03 KIPS | |
| Image Super-Resolution (Q) | 99% | 21988 814.2 IPS | |
| Text Classification (SP) | 100% | 2771 3.70 KIPS | |
| Text Classification (HP) | 99% | 3501 4.67 KIPS | |
| Text Classification (Q) | 97% | 1412 1.89 KIPS | |
| Machine Translation (SP) | 100% | 5101 87.9 IPS | |
| Machine Translation (HP) | 100% | 5012 86.3 IPS | |
| Machine Translation (Q) | 70% | 1620 30.4 IPS |