| User | DFaZ25 |
| Upload Date | January 20 2026 11:02 AM |
| Views | 1 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 5600X 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 LTS |
| Model | Micro-Star International Co., Ltd. MS-7C96 |
| Motherboard | Micro-Star International Co., Ltd. B550M-A PRO (MS-7C96) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 4.65 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.27 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2762
513.7 IPS |
|
|
Image Classification (HP)
|
100% |
2808
522.2 IPS |
|
|
Image Classification (Q)
|
100% |
4544
845.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3338
54.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3384
54.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
5157
83.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5060
5.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
5098
5.95 IPS |
|
|
Pose Estimation (Q)
|
94% |
10701
12.6 IPS |
|
|
Object Detection (SP)
|
100% |
2704
214.5 IPS |
|
|
Object Detection (HP)
|
100% |
2740
217.3 IPS |
|
|
Object Detection (Q)
|
87% |
4863
390.1 IPS |
|
|
Face Detection (SP)
|
100% |
7261
86.3 IPS |
|
|
Face Detection (HP)
|
100% |
7310
86.9 IPS |
|
|
Face Detection (Q)
|
97% |
13473
160.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6808
52.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
6829
52.6 IPS |
|
|
Depth Estimation (Q)
|
81% |
12607
99.4 IPS |
|
|
Style Transfer (SP)
|
100% |
15243
19.6 IPS |
|
|
Style Transfer (HP)
|
100% |
15283
19.6 IPS |
|
|
Style Transfer (Q)
|
98% |
31067
40.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3241
119.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3295
121.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6465
239.5 IPS |
|
|
Text Classification (SP)
|
100% |
2627
3.51 KIPS |
|
|
Text Classification (HP)
|
100% |
2645
3.53 KIPS |
|
|
Text Classification (Q)
|
91% |
1698
2.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
5118
88.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5061
87.2 IPS |
|
|
Machine Translation (Q)
|
100% |
5104
87.9 IPS |