| Upload Date | December 04 2025 10:09 PM |
| Views | 1 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E49 |
| Motherboard | Micro-Star International Co., Ltd. MPG X870E CARBON WIFI (MS-7E49) |
| Power Plan | Hchstleistung |
| 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 | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5282
982.2 IPS |
|
|
Image Classification (HP)
|
100% |
954
177.3 IPS |
|
|
Image Classification (Q)
|
99% |
11984
2.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2389
38.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1492
24.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
19617
319.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
24744
28.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
16260
19.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
79540
93.3 IPS |
|
|
Object Detection (SP)
|
100% |
5439
431.4 IPS |
|
|
Object Detection (HP)
|
100% |
1174
93.1 IPS |
|
|
Object Detection (Q)
|
86% |
14227
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
10654
126.6 IPS |
|
|
Face Detection (HP)
|
100% |
2508
29.8 IPS |
|
|
Face Detection (Q)
|
97% |
15568
185.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
18358
141.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4242
32.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
33994
271.3 IPS |
|
|
Style Transfer (SP)
|
100% |
43851
56.4 IPS |
|
|
Style Transfer (HP)
|
100% |
36238
46.6 IPS |
|
|
Style Transfer (Q)
|
98% |
50583
65.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4483
165.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3713
137.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3172
117.4 IPS |
|
|
Text Classification (SP)
|
100% |
2251
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
1028
1.37 KIPS |
|
|
Text Classification (Q)
|
97% |
1902
2.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3660
63.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1349
23.2 IPS |
|
|
Machine Translation (Q)
|
65% |
4429
89.0 IPS |