| Upload Date | December 07 2025 04:42 AM |
| Views | 1 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 3950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550 AORUS MASTER |
| Motherboard | Gigabyte Technology Co., Ltd. B550 AORUS MASTER |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 3950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2886
536.7 IPS |
|
|
Image Classification (HP)
|
100% |
2669
496.4 IPS |
|
|
Image Classification (Q)
|
100% |
3870
719.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1947
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1916
31.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
5756
93.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9139
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
9292
10.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
12536
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
3082
244.5 IPS |
|
|
Object Detection (HP)
|
100% |
3083
244.6 IPS |
|
|
Object Detection (Q)
|
87% |
4194
336.4 IPS |
|
|
Face Detection (SP)
|
100% |
5959
70.8 IPS |
|
|
Face Detection (HP)
|
100% |
6131
72.9 IPS |
|
|
Face Detection (Q)
|
97% |
14251
169.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7898
60.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
7759
59.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
11953
94.2 IPS |
|
|
Style Transfer (SP)
|
100% |
26023
33.5 IPS |
|
|
Style Transfer (HP)
|
100% |
26612
34.2 IPS |
|
|
Style Transfer (Q)
|
98% |
35392
45.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4990
184.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4977
183.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6471
239.7 IPS |
|
|
Text Classification (SP)
|
100% |
2117
2.83 KIPS |
|
|
Text Classification (HP)
|
100% |
2176
2.90 KIPS |
|
|
Text Classification (Q)
|
91% |
224
300.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2179
37.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1832
31.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1989
34.3 IPS |