| User | Betancd | 
| Upload Date | August 15 2024 06:40 PM | 
| Views | 18 | 
| AI Information | |
|---|---|
| Framework | ONNX | 
| Backend | DirectML | 
| Device | NVIDIA GeForce RTX 4070 Laptop GPU | 
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) | 
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G14 GA403UI_GA403UI | 
| Motherboard | ASUSTeK COMPUTER INC. GA403UI | 
| Power Plan | Performance | 
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 8945HS | 
| Topology | 1 Processor, 8 Cores, 16 Threads | 
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 | 
| Base Frequency | 4.00 GHz | 
| Cluster 1 | 8 Cores | 
| Memory Information | |
|---|---|
| Size | 32.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| Image Classification (SP) | 100% | 7325 1.36 KIPS | |
| Image Classification (HP) | 99% | 12254 2.29 KIPS | |
| Image Classification (Q) | 100% | 6483 1.21 KIPS | |
| Image Segmentation (SP) | 100% | 12543 203.3 IPS | |
| Image Segmentation (HP) | 100% | 16876 273.6 IPS | |
| Image Segmentation (Q) | 98% | 11409 185.5 IPS | |
| Pose Estimation (SP) | 100% | 93299 108.9 IPS | |
| Pose Estimation (HP) | 100% | 253002 295.2 IPS | |
| Pose Estimation (Q) | 97% | 80007 93.7 IPS | |
| Object Detection (SP) | 100% | 7892 626.0 IPS | |
| Object Detection (HP) | 100% | 14776 1.17 KIPS | |
| Object Detection (Q) | 88% | 7116 570.7 IPS | |
| Face Detection (SP) | 100% | 18787 223.2 IPS | |
| Face Detection (HP) | 100% | 29384 349.1 IPS | |
| Face Detection (Q) | 97% | 15080 179.8 IPS | |
| Depth Estimation (SP) | 100% | 36268 279.4 IPS | |
| Depth Estimation (HP) | 99% | 77350 595.9 IPS | |
| Depth Estimation (Q) | 72% | 30789 254.4 IPS | |
| Style Transfer (SP) | 100% | 170806 219.6 IPS | |
| Style Transfer (HP) | 100% | 390812 502.4 IPS | |
| Style Transfer (Q) | 98% | 150187 193.7 IPS | |
| Image Super-Resolution (SP) | 100% | 32881 1.21 KIPS | |
| Image Super-Resolution (HP) | 100% | 48115 1.78 KIPS | |
| Image Super-Resolution (Q) | 99% | 21936 812.3 IPS | |
| Text Classification (SP) | 100% | 2937 3.92 KIPS | |
| Text Classification (HP) | 99% | 3666 4.89 KIPS | |
| Text Classification (Q) | 97% | 1903 2.55 KIPS | |
| Machine Translation (SP) | 100% | 3405 58.6 IPS | |
| Machine Translation (HP) | 98% | 3532 61.0 IPS | |
| Machine Translation (Q) | 60% | 1383 30.8 IPS |