| Upload Date | November 22 2025 01:12 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C37 |
| Motherboard | Micro-Star International Co., Ltd. MPG X570 GAMING PLUS (MS-7C37) |
| Power Plan | Energiesparmodus |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
693
128.8 IPS |
|
|
Image Classification (HP)
|
100% |
626
116.4 IPS |
|
|
Image Classification (Q)
|
100% |
1031
191.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
711
11.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
708
11.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
990
16.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1095
1.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
1096
1.28 IPS |
|
|
Pose Estimation (Q)
|
94% |
2142
2.51 IPS |
|
|
Object Detection (SP)
|
100% |
602
47.8 IPS |
|
|
Object Detection (HP)
|
100% |
599
47.5 IPS |
|
|
Object Detection (Q)
|
87% |
1045
83.8 IPS |
|
|
Face Detection (SP)
|
100% |
1827
21.7 IPS |
|
|
Face Detection (HP)
|
100% |
1811
21.5 IPS |
|
|
Face Detection (Q)
|
97% |
2791
33.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1527
11.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1526
11.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
2648
20.9 IPS |
|
|
Style Transfer (SP)
|
100% |
3195
4.11 IPS |
|
|
Style Transfer (HP)
|
100% |
3199
4.11 IPS |
|
|
Style Transfer (Q)
|
98% |
6116
7.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
696
25.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
694
25.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1304
48.3 IPS |
|
|
Text Classification (SP)
|
100% |
775
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
766
1.02 KIPS |
|
|
Text Classification (Q)
|
91% |
353
474.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1240
21.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1223
21.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1231
21.2 IPS |