| User | Majki77 |
| Upload Date | December 21 2025 10:21 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i9-13900KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 APEX |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900KF |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3807
708.0 IPS |
|
|
Image Classification (HP)
|
100% |
3796
705.9 IPS |
|
|
Image Classification (Q)
|
100% |
10321
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4719
76.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4771
77.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
6089
98.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9899
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
9959
11.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
34565
40.5 IPS |
|
|
Object Detection (SP)
|
100% |
3285
260.6 IPS |
|
|
Object Detection (HP)
|
100% |
3454
274.0 IPS |
|
|
Object Detection (Q)
|
88% |
11240
901.1 IPS |
|
|
Face Detection (SP)
|
100% |
11362
135.0 IPS |
|
|
Face Detection (HP)
|
100% |
11381
135.2 IPS |
|
|
Face Detection (Q)
|
100% |
26486
314.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9977
76.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
9272
71.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
29960
233.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25669
33.0 IPS |
|
|
Style Transfer (HP)
|
100% |
25297
32.5 IPS |
|
|
Style Transfer (Q)
|
98% |
47920
61.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4341
160.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4283
158.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17954
664.9 IPS |
|
|
Text Classification (SP)
|
100% |
3162
4.22 KIPS |
|
|
Text Classification (HP)
|
100% |
3166
4.23 KIPS |
|
|
Text Classification (Q)
|
92% |
5799
7.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
2946
50.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2540
43.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2809
48.4 IPS |