| User | TechFi |
| Upload Date | September 15 2025 10:17 AM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C96 |
| Motherboard | Micro-Star International Co., Ltd. A520M-A PRO (MS-7C96) |
| Power Plan | Gebalanceerd |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2297
427.1 IPS |
|
|
Image Classification (HP)
|
100% |
578
107.4 IPS |
|
|
Image Classification (Q)
|
96% |
3952
737.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1281
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
773
12.5 IPS |
|
|
Image Segmentation (Q)
|
97% |
4766
77.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4109
4.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
3451
4.03 IPS |
|
|
Pose Estimation (Q)
|
86% |
8974
10.6 IPS |
|
|
Object Detection (SP)
|
100% |
2141
169.8 IPS |
|
|
Object Detection (HP)
|
100% |
731
58.0 IPS |
|
|
Object Detection (Q)
|
58% |
2814
307.4 IPS |
|
|
Face Detection (SP)
|
100% |
5269
62.6 IPS |
|
|
Face Detection (HP)
|
100% |
1555
18.5 IPS |
|
|
Face Detection (Q)
|
96% |
7186
85.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5180
39.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1994
15.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
8470
67.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10879
14.0 IPS |
|
|
Style Transfer (HP)
|
100% |
8475
10.9 IPS |
|
|
Style Transfer (Q)
|
87% |
13977
18.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2014
74.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1763
65.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3442
127.6 IPS |
|
|
Text Classification (SP)
|
100% |
1689
2.25 KIPS |
|
|
Text Classification (HP)
|
100% |
844
1.13 KIPS |
|
|
Text Classification (Q)
|
97% |
1403
1.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
2268
39.1 IPS |
|
|
Machine Translation (HP)
|
100% |
896
15.4 IPS |
|
|
Machine Translation (Q)
|
68% |
3180
61.4 IPS |