User | MidniteMarv |
Upload Date | June 01 2025 08:39 AM |
Views | 9 |
AI Information | |
---|---|
Framework | OpenVINO |
Backend | CPU |
Device | AMD Ryzen 5 5600X 6-Core Processor |
System Information | |
---|---|
Operating System | Microsoft Windows 10 Home (64-bit) |
Model | Micro-Star International Co., Ltd. MS-7C94 |
Motherboard | Micro-Star International Co., Ltd. MAG B550M MORTAR WIFI (MS-7C94) |
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 0 |
Base Frequency | 3.70 GHz |
Cluster 1 | 6 Cores |
Memory Information | |
---|---|
Size | 32.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
2737
508.9 IPS |
|
Image Classification (HP)
|
100% |
2690
500.3 IPS |
|
Image Classification (Q)
|
100% |
4223
785.3 IPS |
|
Image Segmentation (SP)
|
100% |
3256
52.8 IPS |
|
Image Segmentation (HP)
|
100% |
3201
51.9 IPS |
|
Image Segmentation (Q)
|
99% |
4916
79.9 IPS |
|
Pose Estimation (SP)
|
100% |
4874
5.69 IPS |
|
Pose Estimation (HP)
|
100% |
4922
5.74 IPS |
|
Pose Estimation (Q)
|
94% |
10135
11.9 IPS |
|
Object Detection (SP)
|
100% |
2626
208.3 IPS |
|
Object Detection (HP)
|
100% |
2617
207.6 IPS |
|
Object Detection (Q)
|
87% |
4587
367.9 IPS |
|
Face Detection (SP)
|
100% |
6455
76.7 IPS |
|
Face Detection (HP)
|
100% |
6335
75.3 IPS |
|
Face Detection (Q)
|
97% |
12813
152.8 IPS |
|
Depth Estimation (SP)
|
100% |
6530
50.3 IPS |
|
Depth Estimation (HP)
|
99% |
6599
50.8 IPS |
|
Depth Estimation (Q)
|
81% |
11868
93.6 IPS |
|
Style Transfer (SP)
|
100% |
15142
19.5 IPS |
|
Style Transfer (HP)
|
100% |
15101
19.4 IPS |
|
Style Transfer (Q)
|
98% |
29947
38.6 IPS |
|
Image Super-Resolution (SP)
|
100% |
3154
116.5 IPS |
|
Image Super-Resolution (HP)
|
100% |
3166
116.9 IPS |
|
Image Super-Resolution (Q)
|
98% |
6252
231.6 IPS |
|
Text Classification (SP)
|
100% |
2618
3.49 KIPS |
|
Text Classification (HP)
|
100% |
2643
3.53 KIPS |
|
Text Classification (Q)
|
91% |
1526
2.05 KIPS |
|
Machine Translation (SP)
|
100% |
4784
82.4 IPS |
|
Machine Translation (HP)
|
100% |
4844
83.4 IPS |
|
Machine Translation (Q)
|
100% |
4772
82.2 IPS |