| Upload Date | October 29 2025 02:11 PM | 
| Views | 2 | 
| AI Information | |
|---|---|
| Framework | ONNX | 
| Backend | DirectML | 
| Device | NVIDIA GeForce RTX 4070 | 
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) | 
| Model | ASUS System Product Name | 
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z690-A GAMING WIFI | 
| Power Plan | Ausbalanciert | 
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700K | 
| Topology | 1 Processor, 20 Cores, 28 Threads | 
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 | 
| Base Frequency | 3.40 GHz | 
| Cluster 1 | 8 Cores | 
| Cluster 2 | 12 Cores | 
| Memory Information | |
|---|---|
| Size | 32.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| Image Classification (SP) | 100% | 10551 1.96 KIPS | |
| Image Classification (HP) | 99% | 16136 3.01 KIPS | |
| Image Classification (Q) | 100% | 9213 1.71 KIPS | |
| Image Segmentation (SP) | 100% | 20125 326.2 IPS | |
| Image Segmentation (HP) | 100% | 26619 431.5 IPS | |
| Image Segmentation (Q) | 98% | 17944 291.8 IPS | |
| Pose Estimation (SP) | 100% | 147769 172.4 IPS | |
| Pose Estimation (HP) | 100% | 358108 417.9 IPS | |
| Pose Estimation (Q) | 96% | 131417 154.0 IPS | |
| Object Detection (SP) | 100% | 13402 1.06 KIPS | |
| Object Detection (HP) | 100% | 21203 1.68 KIPS | |
| Object Detection (Q) | 85% | 11404 918.0 IPS | |
| Face Detection (SP) | 100% | 36026 428.1 IPS | |
| Face Detection (HP) | 100% | 52815 627.6 IPS | |
| Face Detection (Q) | 97% | 31163 371.6 IPS | |
| Depth Estimation (SP) | 100% | 65494 504.6 IPS | |
| Depth Estimation (HP) | 99% | 113483 874.3 IPS | |
| Depth Estimation (Q) | 78% | 51189 408.7 IPS | |
| Style Transfer (SP) | 100% | 259868 334.1 IPS | |
| Style Transfer (HP) | 100% | 583771 750.4 IPS | |
| Style Transfer (Q) | 98% | 227834 293.8 IPS | |
| Image Super-Resolution (SP) | 100% | 47395 1.75 KIPS | |
| Image Super-Resolution (HP) | 100% | 58195 2.15 KIPS | |
| Image Super-Resolution (Q) | 99% | 33034 1.22 KIPS | |
| Text Classification (SP) | 100% | 3582 4.78 KIPS | |
| Text Classification (HP) | 99% | 4505 6.01 KIPS | |
| Text Classification (Q) | 97% | 2211 2.96 KIPS | |
| Machine Translation (SP) | 100% | 5485 94.5 IPS | |
| Machine Translation (HP) | 100% | 5564 95.8 IPS | |
| Machine Translation (Q) | 70% | 2491 46.7 IPS |