| Upload Date | November 22 2025 06:42 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i9-13900KS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z690 APEX |
| Power Plan | Performances leves |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900KS |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3799
706.5 IPS |
|
|
Image Classification (HP)
|
100% |
3751
697.6 IPS |
|
|
Image Classification (Q)
|
100% |
10300
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5376
87.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5399
87.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
11777
190.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10031
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
10087
11.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
30402
35.6 IPS |
|
|
Object Detection (SP)
|
100% |
3413
270.7 IPS |
|
|
Object Detection (HP)
|
100% |
3433
272.3 IPS |
|
|
Object Detection (Q)
|
88% |
10694
857.3 IPS |
|
|
Face Detection (SP)
|
100% |
11727
139.3 IPS |
|
|
Face Detection (HP)
|
100% |
10863
129.1 IPS |
|
|
Face Detection (Q)
|
100% |
24461
290.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9633
74.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
9525
73.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
27982
217.6 IPS |
|
|
Style Transfer (SP)
|
100% |
27591
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
28092
36.1 IPS |
|
|
Style Transfer (Q)
|
98% |
50000
64.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5237
193.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4819
177.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16204
600.1 IPS |
|
|
Text Classification (SP)
|
100% |
3172
4.23 KIPS |
|
|
Text Classification (HP)
|
100% |
3187
4.25 KIPS |
|
|
Text Classification (Q)
|
92% |
5776
7.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
2410
41.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2208
38.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1749
30.1 IPS |