| User | arcashton |
| Upload Date | October 01 2025 11:56 AM |
| Views | 15 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C35 |
| Motherboard | Micro-Star International Co., Ltd. MEG X570 UNIFY (MS-7C35) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3286
611.0 IPS |
|
|
Image Classification (HP)
|
100% |
622
115.7 IPS |
|
|
Image Classification (Q)
|
96% |
4871
909.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2001
32.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
874
14.2 IPS |
|
|
Image Segmentation (Q)
|
97% |
5741
93.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5383
6.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
4657
5.43 IPS |
|
|
Pose Estimation (Q)
|
86% |
11473
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
3061
242.8 IPS |
|
|
Object Detection (HP)
|
100% |
791
62.8 IPS |
|
|
Object Detection (Q)
|
58% |
3303
360.9 IPS |
|
|
Face Detection (SP)
|
100% |
8519
101.2 IPS |
|
|
Face Detection (HP)
|
100% |
1765
21.0 IPS |
|
|
Face Detection (Q)
|
96% |
8065
96.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7772
59.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2271
17.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
11613
92.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14039
18.0 IPS |
|
|
Style Transfer (HP)
|
100% |
11720
15.1 IPS |
|
|
Style Transfer (Q)
|
87% |
15759
20.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2334
86.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2034
75.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4051
150.1 IPS |
|
|
Text Classification (SP)
|
100% |
1804
2.41 KIPS |
|
|
Text Classification (HP)
|
100% |
879
1.17 KIPS |
|
|
Text Classification (Q)
|
97% |
1332
1.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
2666
45.9 IPS |
|
|
Machine Translation (HP)
|
100% |
979
16.9 IPS |
|
|
Machine Translation (Q)
|
68% |
3062
59.2 IPS |