| User | howdoyouclick |
| Upload Date | February 23 2025 10:48 AM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 5600 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B550-PLUS |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2694
501.0 IPS |
|
|
Image Classification (HP)
|
100% |
2701
502.4 IPS |
|
|
Image Classification (Q)
|
100% |
4060
755.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2586
41.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2660
43.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4333
70.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4796
5.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
4779
5.58 IPS |
|
|
Pose Estimation (Q)
|
94% |
9983
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
2312
183.4 IPS |
|
|
Object Detection (HP)
|
100% |
2408
191.0 IPS |
|
|
Object Detection (Q)
|
87% |
4192
336.2 IPS |
|
|
Face Detection (SP)
|
100% |
5043
59.9 IPS |
|
|
Face Detection (HP)
|
100% |
5087
60.4 IPS |
|
|
Face Detection (Q)
|
97% |
11420
136.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5935
45.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
5938
45.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
11305
89.2 IPS |
|
|
Style Transfer (SP)
|
100% |
13824
17.8 IPS |
|
|
Style Transfer (HP)
|
100% |
13980
18.0 IPS |
|
|
Style Transfer (Q)
|
98% |
28996
37.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2949
108.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2957
109.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6087
225.5 IPS |
|
|
Text Classification (SP)
|
100% |
2377
3.17 KIPS |
|
|
Text Classification (HP)
|
100% |
2366
3.16 KIPS |
|
|
Text Classification (Q)
|
91% |
1545
2.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3854
66.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3881
66.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3807
65.6 IPS |