| User | kot-ubitsa |
| Upload Date | December 15 2025 10:20 PM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Windows 10 LTSC (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B450M S2H |
| Motherboard | Gigabyte Technology Co., Ltd. B450M S2H |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2802
521.1 IPS |
|
|
Image Classification (HP)
|
100% |
2892
537.9 IPS |
|
|
Image Classification (Q)
|
100% |
4718
877.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3318
53.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3400
55.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
5227
85.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4864
5.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
5004
5.84 IPS |
|
|
Pose Estimation (Q)
|
94% |
11122
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
2584
205.0 IPS |
|
|
Object Detection (HP)
|
100% |
2596
205.9 IPS |
|
|
Object Detection (Q)
|
87% |
4731
379.4 IPS |
|
|
Face Detection (SP)
|
100% |
6517
77.4 IPS |
|
|
Face Detection (HP)
|
100% |
6536
77.7 IPS |
|
|
Face Detection (Q)
|
97% |
13638
162.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6591
50.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
6774
52.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
12601
99.5 IPS |
|
|
Style Transfer (SP)
|
100% |
14884
19.1 IPS |
|
|
Style Transfer (HP)
|
100% |
15298
19.7 IPS |
|
|
Style Transfer (Q)
|
98% |
32694
42.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3090
114.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3242
119.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6763
250.5 IPS |
|
|
Text Classification (SP)
|
100% |
2856
3.81 KIPS |
|
|
Text Classification (HP)
|
100% |
2853
3.81 KIPS |
|
|
Text Classification (Q)
|
91% |
1120
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
4100
70.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4129
71.1 IPS |
|
|
Machine Translation (Q)
|
100% |
3595
61.9 IPS |