| Upload Date | February 21 2026 11:43 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9700X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E51 |
| Motherboard | Micro-Star International Co., Ltd. MAG X870 TOMAHAWK WIFI (MS-7E51) |
| Power Plan | Ultimativ ydeevne |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8968
1.67 KIPS |
|
|
Image Classification (HP)
|
100% |
1307
243.1 IPS |
|
|
Image Classification (Q)
|
99% |
15465
2.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2588
41.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1925
31.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
18533
301.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
17592
20.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
13728
16.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
56113
65.8 IPS |
|
|
Object Detection (SP)
|
100% |
8467
671.6 IPS |
|
|
Object Detection (HP)
|
100% |
1663
131.9 IPS |
|
|
Object Detection (Q)
|
86% |
15926
1.28 KIPS |
|
|
Face Detection (SP)
|
100% |
15129
179.8 IPS |
|
|
Face Detection (HP)
|
100% |
3418
40.6 IPS |
|
|
Face Detection (Q)
|
97% |
16457
196.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
21553
166.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4877
37.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
34210
273.0 IPS |
|
|
Style Transfer (SP)
|
100% |
40608
52.2 IPS |
|
|
Style Transfer (HP)
|
100% |
29530
38.0 IPS |
|
|
Style Transfer (Q)
|
98% |
47876
61.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6679
246.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5604
206.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7280
269.6 IPS |
|
|
Text Classification (SP)
|
100% |
3772
5.03 KIPS |
|
|
Text Classification (HP)
|
100% |
1638
2.19 KIPS |
|
|
Text Classification (Q)
|
97% |
2745
3.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
5771
99.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1689
29.1 IPS |
|
|
Machine Translation (Q)
|
65% |
6435
129.3 IPS |