| User | falken1 | 
| Upload Date | August 24 2024 09:08 PM | 
| Views | 7 | 
| AI Information | |
|---|---|
| Framework | ONNX | 
| Backend | CPU | 
| Device | Intel Core i9-10900K | 
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) | 
| Model | ASUS System Product Name | 
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS XII HERO (WI-FI) | 
| Power Plan | Hchstleistung | 
| CPU Information | |
|---|---|
| Name | Intel Core i9-10900K | 
| Topology | 1 Processor, 10 Cores, 20 Threads | 
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 | 
| Base Frequency | 3.70 GHz | 
| Cluster 1 | 10 Cores | 
| Memory Information | |
|---|---|
| Size | 16.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| Image Classification (SP) | 100% | 2217 412.4 IPS | |
| Image Classification (HP) | 100% | 142 26.4 IPS | |
| Image Classification (Q) | 97% | 3499 653.0 IPS | |
| Image Segmentation (SP) | 100% | 1974 32.0 IPS | |
| Image Segmentation (HP) | 100% | 237 3.84 IPS | |
| Image Segmentation (Q) | 97% | 2455 39.9 IPS | |
| Pose Estimation (SP) | 100% | 8333 9.72 IPS | |
| Pose Estimation (HP) | 100% | 7141 8.33 IPS | |
| Pose Estimation (Q) | 87% | 16038 18.9 IPS | |
| Object Detection (SP) | 100% | 2536 201.1 IPS | |
| Object Detection (HP) | 100% | 204 16.2 IPS | |
| Object Detection (Q) | 86% | 2254 181.2 IPS | |
| Face Detection (SP) | 100% | 2273 27.0 IPS | |
| Face Detection (HP) | 100% | 293 3.48 IPS | |
| Face Detection (Q) | 96% | 4155 49.6 IPS | |
| Depth Estimation (SP) | 100% | 8379 64.6 IPS | |
| Depth Estimation (HP) | 99% | 996 7.68 IPS | |
| Depth Estimation (Q) | 76% | 7135 57.5 IPS | |
| Style Transfer (SP) | 100% | 20158 25.9 IPS | |
| Style Transfer (HP) | 100% | 17238 22.2 IPS | |
| Style Transfer (Q) | 87% | 16758 21.8 IPS | |
| Image Super-Resolution (SP) | 100% | 3486 128.7 IPS | |
| Image Super-Resolution (HP) | 100% | 2672 98.7 IPS | |
| Image Super-Resolution (Q) | 97% | 3676 136.2 IPS | |
| Text Classification (SP) | 100% | 1873 2.50 KIPS | |
| Text Classification (HP) | 100% | 719 959.2 IPS | |
| Text Classification (Q) | 97% | 503 674.3 IPS | |
| Machine Translation (SP) | 100% | 2352 40.5 IPS | |
| Machine Translation (HP) | 100% | 654 11.3 IPS | |
| Machine Translation (Q) | 60% | 2284 50.9 IPS |