| Upload Date | December 08 2025 06:56 PM |
| Views | 1 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D91 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z790 EDGE WIFI (MS-7D91) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4658
866.2 IPS |
|
|
Image Classification (HP)
|
100% |
714
132.8 IPS |
|
|
Image Classification (Q)
|
99% |
7215
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2089
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1421
23.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
10160
165.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
12127
14.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
5052
5.90 IPS |
|
|
Pose Estimation (Q)
|
94% |
37975
44.5 IPS |
|
|
Object Detection (SP)
|
100% |
4868
386.1 IPS |
|
|
Object Detection (HP)
|
100% |
782
62.0 IPS |
|
|
Object Detection (Q)
|
86% |
7655
615.3 IPS |
|
|
Face Detection (SP)
|
100% |
15168
180.2 IPS |
|
|
Face Detection (HP)
|
100% |
1939
23.0 IPS |
|
|
Face Detection (Q)
|
97% |
11254
134.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
14299
110.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2445
18.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
22240
177.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27009
34.7 IPS |
|
|
Style Transfer (HP)
|
100% |
12298
15.8 IPS |
|
|
Style Transfer (Q)
|
98% |
30565
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4741
175.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2272
83.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6584
243.8 IPS |
|
|
Text Classification (SP)
|
100% |
1744
2.33 KIPS |
|
|
Text Classification (HP)
|
100% |
832
1.11 KIPS |
|
|
Text Classification (Q)
|
97% |
466
623.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2392
41.2 IPS |
|
|
Machine Translation (HP)
|
100% |
966
16.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2855
57.4 IPS |