| User | Bret17 |
| Upload Date | October 29 2025 04:09 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5800X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Famille (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7B79 |
| Motherboard | Micro-Star International Co., Ltd. X470 GAMING PLUS (MS-7B79) |
| Power Plan | Utilisation normale |
| 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% |
2104
391.3 IPS |
|
|
Image Classification (HP)
|
100% |
526
97.9 IPS |
|
|
Image Classification (Q)
|
96% |
4309
804.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1554
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
757
12.3 IPS |
|
|
Image Segmentation (Q)
|
97% |
5215
84.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4433
5.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
3767
4.40 IPS |
|
|
Pose Estimation (Q)
|
86% |
10200
12.1 IPS |
|
|
Object Detection (SP)
|
100% |
1787
141.8 IPS |
|
|
Object Detection (HP)
|
100% |
610
48.4 IPS |
|
|
Object Detection (Q)
|
58% |
2613
285.6 IPS |
|
|
Face Detection (SP)
|
100% |
4038
48.0 IPS |
|
|
Face Detection (HP)
|
100% |
1348
16.0 IPS |
|
|
Face Detection (Q)
|
96% |
7213
86.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5856
45.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1895
14.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
9992
79.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11262
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
9428
12.1 IPS |
|
|
Style Transfer (Q)
|
87% |
14180
18.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1919
70.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1718
63.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3738
138.5 IPS |
|
|
Text Classification (SP)
|
100% |
1621
2.16 KIPS |
|
|
Text Classification (HP)
|
100% |
839
1.12 KIPS |
|
|
Text Classification (Q)
|
97% |
1274
1.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
2108
36.3 IPS |
|
|
Machine Translation (HP)
|
100% |
794
13.7 IPS |
|
|
Machine Translation (Q)
|
68% |
2851
55.1 IPS |