| User | MrCrispr |
| Upload Date | February 25 2025 08:07 AM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5800X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR VIII DARK HERO |
| Power Plan | Balanced |
| 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% |
4002
744.3 IPS |
|
|
Image Classification (HP)
|
100% |
3975
739.2 IPS |
|
|
Image Classification (Q)
|
100% |
5605
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3171
51.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2995
48.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
5572
90.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7608
8.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
7643
8.92 IPS |
|
|
Pose Estimation (Q)
|
94% |
15344
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
3840
304.6 IPS |
|
|
Object Detection (HP)
|
100% |
3896
309.0 IPS |
|
|
Object Detection (Q)
|
87% |
5740
460.4 IPS |
|
|
Face Detection (SP)
|
100% |
12682
150.7 IPS |
|
|
Face Detection (HP)
|
100% |
12818
152.3 IPS |
|
|
Face Detection (Q)
|
97% |
17063
203.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10027
77.3 IPS |
|
|
Depth Estimation (HP)
|
100% |
10034
77.3 IPS |
|
|
Depth Estimation (Q)
|
79% |
16702
132.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22341
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
22523
29.0 IPS |
|
|
Style Transfer (Q)
|
98% |
43549
56.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4651
171.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4668
172.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8742
323.8 IPS |
|
|
Text Classification (SP)
|
100% |
1721
2.30 KIPS |
|
|
Text Classification (HP)
|
100% |
1724
2.30 KIPS |
|
|
Text Classification (Q)
|
91% |
1194
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
5037
86.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5009
86.3 IPS |
|
|
Machine Translation (Q)
|
90% |
2899
50.4 IPS |