| User | Pex_Water_Pipes |
| Upload Date | October 24 2025 11:20 AM |
| Views | 1 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B550-F GAMING WIFI II |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2959
550.2 IPS |
|
|
Image Classification (HP)
|
100% |
2997
557.3 IPS |
|
|
Image Classification (Q)
|
100% |
5004
930.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3864
62.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3686
59.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
9366
152.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6699
7.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
6248
7.29 IPS |
|
|
Pose Estimation (Q)
|
94% |
15279
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
3493
277.0 IPS |
|
|
Object Detection (HP)
|
100% |
3458
274.3 IPS |
|
|
Object Detection (Q)
|
87% |
5622
450.9 IPS |
|
|
Face Detection (SP)
|
100% |
8159
96.9 IPS |
|
|
Face Detection (HP)
|
100% |
8118
96.5 IPS |
|
|
Face Detection (Q)
|
97% |
18264
217.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7977
61.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
8230
63.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
15435
121.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19783
25.4 IPS |
|
|
Style Transfer (HP)
|
100% |
19528
25.1 IPS |
|
|
Style Transfer (Q)
|
98% |
45143
58.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4273
157.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4503
166.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
9061
335.6 IPS |
|
|
Text Classification (SP)
|
100% |
2388
3.19 KIPS |
|
|
Text Classification (HP)
|
100% |
2531
3.38 KIPS |
|
|
Text Classification (Q)
|
91% |
288
386.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2634
45.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2624
45.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2641
45.5 IPS |