| User | frankieZG |
| Upload Date | November 30 2024 08:09 AM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 5600X 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B550M-PLUS |
| Power Plan | Balanced |
| 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 | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2914
541.9 IPS |
|
|
Image Classification (HP)
|
100% |
2925
544.0 IPS |
|
|
Image Classification (Q)
|
100% |
4268
793.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2159
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2094
34.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4169
67.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5172
6.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
5198
6.07 IPS |
|
|
Pose Estimation (Q)
|
94% |
11003
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
2715
215.3 IPS |
|
|
Object Detection (HP)
|
100% |
2731
216.6 IPS |
|
|
Object Detection (Q)
|
87% |
4576
367.0 IPS |
|
|
Face Detection (SP)
|
100% |
6310
75.0 IPS |
|
|
Face Detection (HP)
|
100% |
6090
72.4 IPS |
|
|
Face Detection (Q)
|
97% |
12406
147.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6766
52.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
6792
52.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
12069
95.3 IPS |
|
|
Style Transfer (SP)
|
100% |
15498
19.9 IPS |
|
|
Style Transfer (HP)
|
100% |
15661
20.1 IPS |
|
|
Style Transfer (Q)
|
98% |
30546
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3167
117.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3123
115.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6310
233.7 IPS |
|
|
Text Classification (SP)
|
100% |
1986
2.65 KIPS |
|
|
Text Classification (HP)
|
100% |
2066
2.76 KIPS |
|
|
Text Classification (Q)
|
91% |
1569
2.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
4107
70.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4194
72.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3866
66.6 IPS |