| User | chienyuwu | 
| Upload Date | June 14 2025 03:08 PM | 
| Views | 7 | 
| AI Information | |
|---|---|
| Framework | ONNX | 
| Backend | CPU | 
| Device | AMD Ryzen 9 9950X3D 16-Core Processor | 
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) | 
| Model | Micro-Star International Co., Ltd. MS-7E56 | 
| Motherboard | Micro-Star International Co., Ltd. B850 GAMING PLUS WIFI (MS-7E56) | 
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D | 
| Topology | 1 Processor, 16 Cores, 32 Threads | 
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 | 
| Base Frequency | 4.30 GHz | 
| Cluster 1 | 16 Cores | 
| Memory Information | |
|---|---|
| Size | 32.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| Image Classification (SP) | 100% | 5117 951.7 IPS | |
| Image Classification (HP) | 100% | 883 164.2 IPS | |
| Image Classification (Q) | 99% | 13342 2.49 KIPS | |
| Image Segmentation (SP) | 100% | 2943 47.7 IPS | |
| Image Segmentation (HP) | 100% | 1406 22.8 IPS | |
| Image Segmentation (Q) | 98% | 5428 88.3 IPS | |
| Pose Estimation (SP) | 100% | 25554 29.8 IPS | |
| Pose Estimation (HP) | 100% | 15165 17.7 IPS | |
| Pose Estimation (Q) | 94% | 80979 94.9 IPS | |
| Object Detection (SP) | 100% | 5796 459.7 IPS | |
| Object Detection (HP) | 100% | 1101 87.3 IPS | |
| Object Detection (Q) | 86% | 14892 1.20 KIPS | |
| Face Detection (SP) | 100% | 10861 129.0 IPS | |
| Face Detection (HP) | 100% | 2548 30.3 IPS | |
| Face Detection (Q) | 97% | 16027 191.1 IPS | |
| Depth Estimation (SP) | 100% | 19876 153.1 IPS | |
| Depth Estimation (HP) | 99% | 4329 33.4 IPS | |
| Depth Estimation (Q) | 78% | 34635 276.4 IPS | |
| Style Transfer (SP) | 100% | 48731 62.6 IPS | |
| Style Transfer (HP) | 100% | 35892 46.1 IPS | |
| Style Transfer (Q) | 98% | 55367 71.4 IPS | |
| Image Super-Resolution (SP) | 100% | 5017 185.3 IPS | |
| Image Super-Resolution (HP) | 100% | 3698 136.6 IPS | |
| Image Super-Resolution (Q) | 99% | 6602 244.5 IPS | |
| Text Classification (SP) | 100% | 2499 3.34 KIPS | |
| Text Classification (HP) | 100% | 1011 1.35 KIPS | |
| Text Classification (Q) | 97% | 2084 2.79 KIPS | |
| Machine Translation (SP) | 100% | 3926 67.6 IPS | |
| Machine Translation (HP) | 100% | 1075 18.5 IPS | |
| Machine Translation (Q) | 65% | 5732 115.2 IPS |