| Upload Date | December 07 2025 06:45 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X870E AORUS MASTER |
| Motherboard | Gigabyte Technology Co., Ltd. X870E AORUS MASTER |
| Power Plan | Ultimate Performance |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5307
986.9 IPS |
|
|
Image Classification (HP)
|
100% |
975
181.2 IPS |
|
|
Image Classification (Q)
|
99% |
13046
2.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2377
38.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1531
24.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
19628
319.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
17979
21.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
12857
15.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
74829
87.7 IPS |
|
|
Object Detection (SP)
|
100% |
4993
396.0 IPS |
|
|
Object Detection (HP)
|
100% |
1165
92.4 IPS |
|
|
Object Detection (Q)
|
86% |
14763
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
9859
117.1 IPS |
|
|
Face Detection (HP)
|
100% |
2482
29.5 IPS |
|
|
Face Detection (Q)
|
97% |
15238
181.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
15824
121.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4143
31.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
33045
263.7 IPS |
|
|
Style Transfer (SP)
|
100% |
33256
42.8 IPS |
|
|
Style Transfer (HP)
|
100% |
28021
36.0 IPS |
|
|
Style Transfer (Q)
|
98% |
44751
57.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4128
152.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3685
136.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3013
111.6 IPS |
|
|
Text Classification (SP)
|
100% |
2361
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
970
1.29 KIPS |
|
|
Text Classification (Q)
|
97% |
1954
2.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
3834
66.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1354
23.3 IPS |
|
|
Machine Translation (Q)
|
65% |
4425
88.9 IPS |