| Upload Date | November 10 2025 05:02 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X870E AORUS XTREME AI TOP |
| Motherboard | Gigabyte Technology Co., Ltd. X870E AORUS XTREME AI TOP |
| Power Plan | Tasapainotettu |
| 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% |
6288
1.17 KIPS |
|
|
Image Classification (HP)
|
100% |
6206
1.15 KIPS |
|
|
Image Classification (Q)
|
100% |
16269
3.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8394
136.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9330
151.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
25467
412.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
29250
34.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
29290
34.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
116784
136.7 IPS |
|
|
Object Detection (SP)
|
100% |
8149
646.4 IPS |
|
|
Object Detection (HP)
|
100% |
8160
647.3 IPS |
|
|
Object Detection (Q)
|
88% |
18105
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
16572
196.9 IPS |
|
|
Face Detection (HP)
|
100% |
16109
191.4 IPS |
|
|
Face Detection (Q)
|
100% |
50605
601.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
22665
174.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
22610
174.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
61751
480.5 IPS |
|
|
Style Transfer (SP)
|
100% |
74385
95.6 IPS |
|
|
Style Transfer (HP)
|
100% |
74195
95.4 IPS |
|
|
Style Transfer (Q)
|
98% |
265790
342.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13767
508.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14186
523.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
37287
1.38 KIPS |
|
|
Text Classification (SP)
|
100% |
4392
5.86 KIPS |
|
|
Text Classification (HP)
|
100% |
4290
5.73 KIPS |
|
|
Text Classification (Q)
|
92% |
5342
7.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
7963
137.2 IPS |
|
|
Machine Translation (HP)
|
100% |
8010
138.0 IPS |
|
|
Machine Translation (Q)
|
100% |
8547
147.2 IPS |