| User | 98Fengyu |
| Upload Date | January 20 2026 07:57 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 2600X Six-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550 GAMING X V2 |
| Motherboard | Gigabyte Technology Co., Ltd. B550 GAMING X V2 |
| Power Plan | AMD Ryzen High Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 2600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 8 Stepping 2 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1118
207.9 IPS |
|
|
Image Classification (HP)
|
100% |
1166
216.8 IPS |
|
|
Image Classification (Q)
|
100% |
1115
207.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
684
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
768
12.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1100
17.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1980
2.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
1944
2.27 IPS |
|
|
Pose Estimation (Q)
|
94% |
2305
2.70 IPS |
|
|
Object Detection (SP)
|
100% |
1052
83.5 IPS |
|
|
Object Detection (HP)
|
100% |
1153
91.4 IPS |
|
|
Object Detection (Q)
|
87% |
1136
91.1 IPS |
|
|
Face Detection (SP)
|
100% |
2981
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
2984
35.5 IPS |
|
|
Face Detection (Q)
|
97% |
3688
44.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2621
20.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2852
22.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
3010
23.7 IPS |
|
|
Style Transfer (SP)
|
100% |
5569
7.16 IPS |
|
|
Style Transfer (HP)
|
100% |
5879
7.56 IPS |
|
|
Style Transfer (Q)
|
98% |
6898
8.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1372
50.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1202
44.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1475
54.6 IPS |
|
|
Text Classification (SP)
|
100% |
1176
1.57 KIPS |
|
|
Text Classification (HP)
|
100% |
1187
1.58 KIPS |
|
|
Text Classification (Q)
|
91% |
448
601.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1749
30.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1729
29.8 IPS |
|
|
Machine Translation (Q)
|
100% |
1909
32.9 IPS |