| Upload Date | October 23 2025 04:22 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X870E AORUS PRO X3D ICE |
| Motherboard | Gigabyte Technology Co., Ltd. X870E AORUS PRO X3D ICE |
| 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 | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7326
1.36 KIPS |
|
|
Image Classification (HP)
|
100% |
7271
1.35 KIPS |
|
|
Image Classification (Q)
|
100% |
18621
3.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9615
155.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9662
156.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
26032
422.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
30860
36.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
30780
35.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
121898
142.7 IPS |
|
|
Object Detection (SP)
|
100% |
8372
664.1 IPS |
|
|
Object Detection (HP)
|
100% |
8446
670.0 IPS |
|
|
Object Detection (Q)
|
88% |
20796
1.67 KIPS |
|
|
Face Detection (SP)
|
100% |
18699
222.2 IPS |
|
|
Face Detection (HP)
|
100% |
18579
220.8 IPS |
|
|
Face Detection (Q)
|
100% |
55604
660.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
25182
194.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
25964
200.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
70197
546.3 IPS |
|
|
Style Transfer (SP)
|
100% |
79688
102.4 IPS |
|
|
Style Transfer (HP)
|
100% |
79178
101.8 IPS |
|
|
Style Transfer (Q)
|
98% |
285112
367.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15088
557.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14494
535.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
37275
1.38 KIPS |
|
|
Text Classification (SP)
|
100% |
4820
6.43 KIPS |
|
|
Text Classification (HP)
|
100% |
4996
6.67 KIPS |
|
|
Text Classification (Q)
|
92% |
5802
7.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
8636
148.8 IPS |
|
|
Machine Translation (HP)
|
100% |
8791
151.4 IPS |
|
|
Machine Translation (Q)
|
100% |
8786
151.3 IPS |