| User | zarushi |
| Upload Date | April 14 2025 06:07 AM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 5600X 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education N (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X570S UD |
| Motherboard | Gigabyte Technology Co., Ltd. X570S UD |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2830
526.2 IPS |
|
|
Image Classification (HP)
|
100% |
2828
525.9 IPS |
|
|
Image Classification (Q)
|
100% |
4409
819.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3331
54.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3368
54.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
5204
84.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5203
6.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
5172
6.03 IPS |
|
|
Pose Estimation (Q)
|
94% |
11271
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
2775
220.1 IPS |
|
|
Object Detection (HP)
|
100% |
2774
220.0 IPS |
|
|
Object Detection (Q)
|
87% |
4786
383.9 IPS |
|
|
Face Detection (SP)
|
100% |
6466
76.8 IPS |
|
|
Face Detection (HP)
|
100% |
6560
77.9 IPS |
|
|
Face Detection (Q)
|
97% |
13326
158.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6929
53.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
6833
52.6 IPS |
|
|
Depth Estimation (Q)
|
81% |
12384
97.6 IPS |
|
|
Style Transfer (SP)
|
100% |
15785
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
15798
20.3 IPS |
|
|
Style Transfer (Q)
|
98% |
32049
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3314
122.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3287
121.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6594
244.2 IPS |
|
|
Text Classification (SP)
|
100% |
2580
3.44 KIPS |
|
|
Text Classification (HP)
|
100% |
2654
3.54 KIPS |
|
|
Text Classification (Q)
|
91% |
1501
2.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
4803
82.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4798
82.7 IPS |
|
|
Machine Translation (Q)
|
100% |
4719
81.3 IPS |