| User | FavroiteGamers2017 |
| Upload Date | May 02 2025 03:50 AM |
| Views | 1 |
| Notes | Before 5060 Ti. |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5800X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B450-I GAMING |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2688
499.9 IPS |
|
|
Image Classification (HP)
|
100% |
2657
494.1 IPS |
|
|
Image Classification (Q)
|
100% |
3800
706.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3500
56.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3498
56.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
5009
81.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5512
6.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
5553
6.48 IPS |
|
|
Pose Estimation (Q)
|
94% |
11224
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
2738
217.2 IPS |
|
|
Object Detection (HP)
|
100% |
2661
211.1 IPS |
|
|
Object Detection (Q)
|
87% |
4083
327.5 IPS |
|
|
Face Detection (SP)
|
100% |
8510
101.1 IPS |
|
|
Face Detection (HP)
|
100% |
8491
100.9 IPS |
|
|
Face Detection (Q)
|
97% |
12059
143.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6997
53.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
6882
53.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
11798
93.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16435
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
16142
20.8 IPS |
|
|
Style Transfer (Q)
|
98% |
31539
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3247
119.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3265
120.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6045
223.9 IPS |
|
|
Text Classification (SP)
|
100% |
2088
2.79 KIPS |
|
|
Text Classification (HP)
|
100% |
1914
2.55 KIPS |
|
|
Text Classification (Q)
|
91% |
806
1.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3523
60.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3755
64.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3843
66.2 IPS |