| Upload Date | November 13 2025 09:52 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E70 |
| Motherboard | Micro-Star International Co., Ltd. X870E GAMING PLUS WIFI (MS-7E70) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8479
1.58 KIPS |
|
|
Image Classification (HP)
|
100% |
1172
217.9 IPS |
|
|
Image Classification (Q)
|
99% |
14758
2.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3856
62.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1777
28.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
5174
84.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
17863
20.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
13856
16.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
57586
67.5 IPS |
|
|
Object Detection (SP)
|
100% |
8541
677.5 IPS |
|
|
Object Detection (HP)
|
100% |
1504
119.3 IPS |
|
|
Object Detection (Q)
|
86% |
15214
1.22 KIPS |
|
|
Face Detection (SP)
|
100% |
20482
243.4 IPS |
|
|
Face Detection (HP)
|
100% |
3448
41.0 IPS |
|
|
Face Detection (Q)
|
97% |
15596
186.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
22925
176.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4850
37.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
38482
307.1 IPS |
|
|
Style Transfer (SP)
|
100% |
40844
52.5 IPS |
|
|
Style Transfer (HP)
|
100% |
29229
37.6 IPS |
|
|
Style Transfer (Q)
|
98% |
43845
56.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6306
232.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5295
195.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7061
261.5 IPS |
|
|
Text Classification (SP)
|
100% |
3373
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
1368
1.83 KIPS |
|
|
Text Classification (Q)
|
97% |
2632
3.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
5168
89.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1325
22.8 IPS |
|
|
Machine Translation (Q)
|
65% |
5847
117.5 IPS |