| User | hrichl | 
| Upload Date | March 02 2025 06:20 PM | 
| Views | 7 | 
| AI Information | |
|---|---|
| Framework | ONNX | 
| Backend | DirectML | 
| Device | NVIDIA GeForce RTX 3090 | 
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) | 
| Model | Dell Inc. Precision 7865 Tower | 
| Motherboard | Dell Inc. 0DMYN9 | 
| Power Plan | High performance | 
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper PRO 5955WX | 
| Topology | 1 Processor, 16 Cores, 32 Threads | 
| Identifier | AuthenticAMD Family 25 Model 8 Stepping 2 | 
| Base Frequency | 4.00 GHz | 
| Cluster 1 | 16 Cores | 
| Memory Information | |
|---|---|
| Size | 128.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| Image Classification (SP) | 100% | 8599 1.60 KIPS | |
| Image Classification (HP) | 100% | 11921 2.22 KIPS | |
| Image Classification (Q) | 100% | 6035 1.12 KIPS | |
| Image Segmentation (SP) | 100% | 10550 171.0 IPS | |
| Image Segmentation (HP) | 100% | 12516 202.9 IPS | |
| Image Segmentation (Q) | 98% | 8655 140.7 IPS | |
| Pose Estimation (SP) | 100% | 167862 195.9 IPS | |
| Pose Estimation (HP) | 100% | 335720 391.7 IPS | |
| Pose Estimation (Q) | 96% | 125455 147.0 IPS | |
| Object Detection (SP) | 100% | 10446 828.6 IPS | |
| Object Detection (HP) | 100% | 14296 1.13 KIPS | |
| Object Detection (Q) | 85% | 7415 596.5 IPS | |
| Face Detection (SP) | 100% | 26870 319.3 IPS | |
| Face Detection (HP) | 100% | 38116 452.9 IPS | |
| Face Detection (Q) | 97% | 19064 227.3 IPS | |
| Depth Estimation (SP) | 100% | 51824 399.3 IPS | |
| Depth Estimation (HP) | 99% | 91704 708.5 IPS | |
| Depth Estimation (Q) | 77% | 33120 264.9 IPS | |
| Style Transfer (SP) | 100% | 252709 324.9 IPS | |
| Style Transfer (HP) | 100% | 571963 735.3 IPS | |
| Style Transfer (Q) | 98% | 184622 238.1 IPS | |
| Image Super-Resolution (SP) | 100% | 34763 1.28 KIPS | |
| Image Super-Resolution (HP) | 100% | 45370 1.68 KIPS | |
| Image Super-Resolution (Q) | 99% | 20203 748.1 IPS | |
| Text Classification (SP) | 100% | 2033 2.71 KIPS | |
| Text Classification (HP) | 99% | 2506 3.35 KIPS | |
| Text Classification (Q) | 97% | 1187 1.59 KIPS | |
| Machine Translation (SP) | 100% | 2846 49.0 IPS | |
| Machine Translation (HP) | 100% | 2884 49.7 IPS | |
| Machine Translation (Q) | 70% | 1307 24.5 IPS |