| Upload Date | February 10 2026 04:37 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E59 |
| Motherboard | Micro-Star International Co., Ltd. MAG X870E TOMAHAWK WIFI (MS-7E59) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4874
906.5 IPS |
|
|
Image Classification (HP)
|
100% |
958
178.1 IPS |
|
|
Image Classification (Q)
|
99% |
12998
2.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1983
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1463
23.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
13254
215.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9478
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
8057
9.40 IPS |
|
|
Pose Estimation (Q)
|
94% |
39279
46.1 IPS |
|
|
Object Detection (SP)
|
100% |
4680
371.2 IPS |
|
|
Object Detection (HP)
|
100% |
1141
90.5 IPS |
|
|
Object Detection (Q)
|
86% |
12480
1.00 KIPS |
|
|
Face Detection (SP)
|
100% |
9452
112.3 IPS |
|
|
Face Detection (HP)
|
100% |
2864
34.0 IPS |
|
|
Face Detection (Q)
|
97% |
14530
173.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
12998
100.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3522
27.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
28975
231.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25052
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
18582
23.9 IPS |
|
|
Style Transfer (Q)
|
98% |
37286
48.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4254
157.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3752
138.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6848
253.6 IPS |
|
|
Text Classification (SP)
|
100% |
3017
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
1302
1.74 KIPS |
|
|
Text Classification (Q)
|
97% |
2367
3.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
4720
81.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1311
22.6 IPS |
|
|
Machine Translation (Q)
|
65% |
5606
112.6 IPS |