| User | Alpi82 |
| Upload Date | January 12 2026 12:07 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550 AORUS PRO V2 |
| Motherboard | Gigabyte Technology Co., Ltd. B550 AORUS PRO V2 |
| Power Plan | Kiegyenslyozott |
| 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% |
3058
568.8 IPS |
|
|
Image Classification (HP)
|
100% |
606
112.8 IPS |
|
|
Image Classification (Q)
|
96% |
6125
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2098
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
899
14.6 IPS |
|
|
Image Segmentation (Q)
|
97% |
5851
95.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7954
9.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
6365
7.43 IPS |
|
|
Pose Estimation (Q)
|
86% |
20736
24.5 IPS |
|
|
Object Detection (SP)
|
100% |
3115
247.1 IPS |
|
|
Object Detection (HP)
|
100% |
798
63.3 IPS |
|
|
Object Detection (Q)
|
58% |
4497
491.4 IPS |
|
|
Face Detection (SP)
|
100% |
7239
86.0 IPS |
|
|
Face Detection (HP)
|
100% |
1636
19.4 IPS |
|
|
Face Detection (Q)
|
96% |
9938
118.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9430
72.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2570
19.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
15623
124.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18791
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
15923
20.5 IPS |
|
|
Style Transfer (Q)
|
87% |
24644
32.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2508
92.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2130
78.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4029
149.3 IPS |
|
|
Text Classification (SP)
|
100% |
1561
2.08 KIPS |
|
|
Text Classification (HP)
|
100% |
777
1.04 KIPS |
|
|
Text Classification (Q)
|
97% |
436
583.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2515
43.3 IPS |
|
|
Machine Translation (HP)
|
100% |
979
16.9 IPS |
|
|
Machine Translation (Q)
|
68% |
2543
49.1 IPS |