| User | Origem |
| Upload Date | November 27 2025 12:14 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 5600X 6-Core Processor |
| System Information | |
|---|---|
| Operating System | LMDE 7 (gigi) |
| Model | Gigabyte Technology Co., Ltd. B550M AORUS ELITE |
| Motherboard | Gigabyte Technology Co., Ltd. B550M AORUS ELITE |
| 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% |
2915
542.2 IPS |
|
|
Image Classification (HP)
|
100% |
2929
544.7 IPS |
|
|
Image Classification (Q)
|
100% |
4698
873.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3423
55.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3417
55.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
5197
84.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5365
6.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
5373
6.27 IPS |
|
|
Pose Estimation (Q)
|
94% |
11162
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
2814
223.2 IPS |
|
|
Object Detection (HP)
|
100% |
2830
224.5 IPS |
|
|
Object Detection (Q)
|
87% |
5027
403.2 IPS |
|
|
Face Detection (SP)
|
100% |
7535
89.5 IPS |
|
|
Face Detection (HP)
|
100% |
7395
87.9 IPS |
|
|
Face Detection (Q)
|
97% |
13793
164.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6947
53.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
6980
53.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
12934
102.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15686
20.2 IPS |
|
|
Style Transfer (HP)
|
100% |
15788
20.3 IPS |
|
|
Style Transfer (Q)
|
98% |
32035
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3372
124.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3379
124.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6733
249.4 IPS |
|
|
Text Classification (SP)
|
100% |
2672
3.57 KIPS |
|
|
Text Classification (HP)
|
100% |
2682
3.58 KIPS |
|
|
Text Classification (Q)
|
91% |
1734
2.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
5072
87.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5069
87.3 IPS |
|
|
Machine Translation (Q)
|
100% |
4973
85.7 IPS |