| User | yee245 |
| Upload Date | December 29 2024 07:08 PM |
| Views | 15 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5800X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X570-I GAMING |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4180
777.3 IPS |
|
|
Image Classification (HP)
|
100% |
4174
776.2 IPS |
|
|
Image Classification (Q)
|
100% |
5709
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3631
58.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3613
58.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
5685
92.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7845
9.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
7842
9.15 IPS |
|
|
Pose Estimation (Q)
|
94% |
15500
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
3916
310.6 IPS |
|
|
Object Detection (HP)
|
100% |
3904
309.7 IPS |
|
|
Object Detection (Q)
|
87% |
5768
462.6 IPS |
|
|
Face Detection (SP)
|
100% |
9730
115.6 IPS |
|
|
Face Detection (HP)
|
100% |
9869
117.3 IPS |
|
|
Face Detection (Q)
|
97% |
17060
203.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9867
76.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
9969
76.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
16711
131.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22782
29.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23059
29.6 IPS |
|
|
Style Transfer (Q)
|
98% |
44020
56.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4954
182.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4946
182.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8885
329.1 IPS |
|
|
Text Classification (SP)
|
100% |
1774
2.37 KIPS |
|
|
Text Classification (HP)
|
100% |
1872
2.50 KIPS |
|
|
Text Classification (Q)
|
91% |
1246
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
5113
88.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5157
88.8 IPS |
|
|
Machine Translation (Q)
|
100% |
5098
87.8 IPS |