| User | rbtree | 
| Upload Date | July 26 2025 10:36 AM | 
| Views | 6 | 
| AI Information | |
|---|---|
| Framework | ONNX | 
| Backend | DirectML | 
| Device | NVIDIA GeForce RTX 3090 | 
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) | 
| Model | ASRock X870E Taichi | 
| Motherboard | ASRock X870E Taichi | 
| Power Plan | High performance | 
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X | 
| Topology | 1 Processor, 16 Cores, 32 Threads | 
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 | 
| Base Frequency | 4.30 GHz | 
| Cluster 1 | 16 Cores | 
| Memory Information | |
|---|---|
| Size | 96.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| Image Classification (SP) | 100% | 9987 1.86 KIPS | |
| Image Classification (HP) | 99% | 13678 2.55 KIPS | |
| Image Classification (Q) | 100% | 6600 1.23 KIPS | |
| Image Segmentation (SP) | 100% | 16795 272.3 IPS | |
| Image Segmentation (HP) | 100% | 23113 374.7 IPS | |
| Image Segmentation (Q) | 98% | 12111 196.9 IPS | |
| Pose Estimation (SP) | 100% | 183214 213.8 IPS | |
| Pose Estimation (HP) | 100% | 367850 429.2 IPS | |
| Pose Estimation (Q) | 96% | 133746 156.7 IPS | |
| Object Detection (SP) | 100% | 13074 1.04 KIPS | |
| Object Detection (HP) | 100% | 18182 1.44 KIPS | |
| Object Detection (Q) | 85% | 8636 694.7 IPS | |
| Face Detection (SP) | 100% | 34642 411.6 IPS | |
| Face Detection (HP) | 100% | 48135 571.9 IPS | |
| Face Detection (Q) | 97% | 22311 266.0 IPS | |
| Depth Estimation (SP) | 100% | 65174 502.1 IPS | |
| Depth Estimation (HP) | 99% | 106591 821.2 IPS | |
| Depth Estimation (Q) | 77% | 37661 301.6 IPS | |
| Style Transfer (SP) | 100% | 279818 359.7 IPS | |
| Style Transfer (HP) | 100% | 653576 840.2 IPS | |
| Style Transfer (Q) | 98% | 197922 255.2 IPS | |
| Image Super-Resolution (SP) | 100% | 41321 1.53 KIPS | |
| Image Super-Resolution (HP) | 100% | 57928 2.14 KIPS | |
| Image Super-Resolution (Q) | 99% | 22777 843.4 IPS | |
| Text Classification (SP) | 100% | 3102 4.14 KIPS | |
| Text Classification (HP) | 99% | 3927 5.24 KIPS | |
| Text Classification (Q) | 97% | 1481 1.98 KIPS | |
| Machine Translation (SP) | 100% | 4507 77.6 IPS | |
| Machine Translation (HP) | 100% | 4418 76.1 IPS | |
| Machine Translation (Q) | 70% | 1546 29.0 IPS |