| Upload Date | February 23 2026 11:32 PM |
| Views | 5 |
| 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% |
8988
1.67 KIPS |
|
|
Image Classification (HP)
|
100% |
1267
235.6 IPS |
|
|
Image Classification (Q)
|
99% |
15421
2.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2715
44.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1928
31.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
18625
302.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
18004
21.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
14140
16.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
56342
66.1 IPS |
|
|
Object Detection (SP)
|
100% |
8434
669.0 IPS |
|
|
Object Detection (HP)
|
100% |
1647
130.6 IPS |
|
|
Object Detection (Q)
|
86% |
16027
1.29 KIPS |
|
|
Face Detection (SP)
|
100% |
15309
181.9 IPS |
|
|
Face Detection (HP)
|
100% |
3406
40.5 IPS |
|
|
Face Detection (Q)
|
97% |
16416
195.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
21806
168.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4955
38.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
34399
274.5 IPS |
|
|
Style Transfer (SP)
|
100% |
40843
52.5 IPS |
|
|
Style Transfer (HP)
|
100% |
30167
38.8 IPS |
|
|
Style Transfer (Q)
|
98% |
47255
60.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6600
243.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5465
201.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7119
263.6 IPS |
|
|
Text Classification (SP)
|
100% |
3812
5.09 KIPS |
|
|
Text Classification (HP)
|
100% |
1648
2.20 KIPS |
|
|
Text Classification (Q)
|
97% |
2731
3.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
5745
99.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1716
29.6 IPS |
|
|
Machine Translation (Q)
|
65% |
6426
129.1 IPS |