| Upload Date | October 29 2025 03:32 PM | 
| Views | 1 | 
| AI Information | |
|---|---|
| Framework | ONNX | 
| Backend | DirectML | 
| Device | NVIDIA GeForce RTX 4070 | 
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) | 
| Model | ASUS System Product Name | 
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z890-P | 
| Power Plan | AMD Ryzen Balanced | 
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265KF | 
| Topology | 1 Processor, 20 Cores | 
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 | 
| Base Frequency | 3.90 GHz | 
| Cluster 1 | 8 Cores | 
| Cluster 2 | 12 Cores | 
| Memory Information | |
|---|---|
| Size | 32.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| Image Classification (SP) | 100% | 9813 1.82 KIPS | |
| Image Classification (HP) | 99% | 15571 2.90 KIPS | |
| Image Classification (Q) | 100% | 8874 1.65 KIPS | |
| Image Segmentation (SP) | 100% | 20093 325.7 IPS | |
| Image Segmentation (HP) | 100% | 26714 433.1 IPS | |
| Image Segmentation (Q) | 98% | 18030 293.2 IPS | |
| Pose Estimation (SP) | 100% | 147077 171.6 IPS | |
| Pose Estimation (HP) | 100% | 355008 414.2 IPS | |
| Pose Estimation (Q) | 96% | 129916 152.2 IPS | |
| Object Detection (SP) | 100% | 12878 1.02 KIPS | |
| Object Detection (HP) | 100% | 19408 1.54 KIPS | |
| Object Detection (Q) | 85% | 10708 862.1 IPS | |
| Face Detection (SP) | 100% | 36597 434.9 IPS | |
| Face Detection (HP) | 100% | 52139 619.5 IPS | |
| Face Detection (Q) | 97% | 31036 370.1 IPS | |
| Depth Estimation (SP) | 100% | 63313 487.8 IPS | |
| Depth Estimation (HP) | 99% | 108685 837.4 IPS | |
| Depth Estimation (Q) | 78% | 49656 396.5 IPS | |
| Style Transfer (SP) | 100% | 252506 324.6 IPS | |
| Style Transfer (HP) | 100% | 567768 729.9 IPS | |
| Style Transfer (Q) | 98% | 223703 288.5 IPS | |
| Image Super-Resolution (SP) | 100% | 44729 1.65 KIPS | |
| Image Super-Resolution (HP) | 100% | 54341 2.01 KIPS | |
| Image Super-Resolution (Q) | 99% | 31774 1.18 KIPS | |
| Text Classification (SP) | 100% | 3377 4.51 KIPS | |
| Text Classification (HP) | 99% | 4295 5.73 KIPS | |
| Text Classification (Q) | 97% | 2048 2.74 KIPS | |
| Machine Translation (SP) | 100% | 5346 92.1 IPS | |
| Machine Translation (HP) | 100% | 5384 92.7 IPS | |
| Machine Translation (Q) | 70% | 2321 43.5 IPS |