| Upload Date | December 07 2025 06:54 PM |
| Views | 1 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D 16-Core Processor |
| 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% |
6403
1.19 KIPS |
|
|
Image Classification (HP)
|
100% |
6704
1.25 KIPS |
|
|
Image Classification (Q)
|
100% |
16794
3.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9323
151.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9705
157.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
25241
409.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
29472
34.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
29547
34.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
118596
138.8 IPS |
|
|
Object Detection (SP)
|
100% |
8463
671.3 IPS |
|
|
Object Detection (HP)
|
100% |
8336
661.2 IPS |
|
|
Object Detection (Q)
|
88% |
19435
1.56 KIPS |
|
|
Face Detection (SP)
|
100% |
18194
216.2 IPS |
|
|
Face Detection (HP)
|
100% |
18557
220.5 IPS |
|
|
Face Detection (Q)
|
100% |
46557
553.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
22531
173.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
23781
183.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
62556
486.8 IPS |
|
|
Style Transfer (SP)
|
100% |
77856
100.1 IPS |
|
|
Style Transfer (HP)
|
100% |
77037
99.0 IPS |
|
|
Style Transfer (Q)
|
98% |
271157
349.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14093
520.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13893
513.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
37229
1.38 KIPS |
|
|
Text Classification (SP)
|
100% |
4558
6.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4481
5.98 KIPS |
|
|
Text Classification (Q)
|
92% |
5906
7.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
7730
133.2 IPS |
|
|
Machine Translation (HP)
|
100% |
8097
139.5 IPS |
|
|
Machine Translation (Q)
|
100% |
8681
149.5 IPS |