| User | enroscado | 
| Upload Date | April 29 2025 08:11 AM | 
| Views | 10 | 
| AI Information | |
|---|---|
| Framework | ONNX | 
| Backend | CPU | 
| Device | Intel(R) Core(TM) i9-14900KS | 
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.1 LTS | 
| Model | ASUS System Product Name | 
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 APEX ENCORE | 
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) i9-14900KS | 
| Topology | 1 Processor, 24 Cores, 32 Threads | 
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 | 
| Base Frequency | 5.90 GHz | 
| Cluster 1 | 0 Cores | 
| Memory Information | |
|---|---|
| Size | 62.61 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| Image Classification (SP) | 100% | 3067 570.4 IPS | |
| Image Classification (HP) | 100% | 325 60.5 IPS | |
| Image Classification (Q) | 97% | 10159 1.90 KIPS | |
| Image Segmentation (SP) | 100% | 2483 40.3 IPS | |
| Image Segmentation (HP) | 100% | 498 8.07 IPS | |
| Image Segmentation (Q) | 99% | 5078 82.6 IPS | |
| Pose Estimation (SP) | 100% | 9599 11.2 IPS | |
| Pose Estimation (HP) | 100% | 4789 5.59 IPS | |
| Pose Estimation (Q) | 94% | 35484 41.6 IPS | |
| Object Detection (SP) | 100% | 3267 259.1 IPS | |
| Object Detection (HP) | 100% | 390 30.9 IPS | |
| Object Detection (Q) | 86% | 9450 759.5 IPS | |
| Face Detection (SP) | 100% | 5943 70.6 IPS | |
| Face Detection (HP) | 100% | 616 7.32 IPS | |
| Face Detection (Q) | 97% | 23926 285.3 IPS | |
| Depth Estimation (SP) | 100% | 10483 80.8 IPS | |
| Depth Estimation (HP) | 99% | 1757 13.5 IPS | |
| Depth Estimation (Q) | 78% | 23929 190.9 IPS | |
| Style Transfer (SP) | 100% | 23871 30.7 IPS | |
| Style Transfer (HP) | 100% | 12308 15.8 IPS | |
| Style Transfer (Q) | 98% | 31799 41.0 IPS | |
| Image Super-Resolution (SP) | 100% | 4323 159.6 IPS | |
| Image Super-Resolution (HP) | 100% | 2444 90.2 IPS | |
| Image Super-Resolution (Q) | 99% | 7869 291.4 IPS | |
| Text Classification (SP) | 100% | 2512 3.35 KIPS | |
| Text Classification (HP) | 100% | 754 1.01 KIPS | |
| Text Classification (Q) | 97% | 2261 3.03 KIPS | |
| Machine Translation (SP) | 100% | 4054 69.8 IPS | |
| Machine Translation (HP) | 100% | 872 15.0 IPS | |
| Machine Translation (Q) | 65% | 4972 99.9 IPS |