| User | Majki77 |
| Upload Date | December 21 2025 09:59 AM |
| Views | 4 |
| 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% |
3801
706.9 IPS |
|
|
Image Classification (HP)
|
100% |
3830
712.2 IPS |
|
|
Image Classification (Q)
|
100% |
10415
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5231
84.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5209
84.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
11528
186.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9902
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
9919
11.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
34512
40.4 IPS |
|
|
Object Detection (SP)
|
100% |
3455
274.0 IPS |
|
|
Object Detection (HP)
|
100% |
3403
269.9 IPS |
|
|
Object Detection (Q)
|
88% |
11248
901.7 IPS |
|
|
Face Detection (SP)
|
100% |
11192
133.0 IPS |
|
|
Face Detection (HP)
|
100% |
10333
122.8 IPS |
|
|
Face Detection (Q)
|
100% |
13302
158.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8617
66.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
8686
66.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
30202
234.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25268
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
25611
32.9 IPS |
|
|
Style Transfer (Q)
|
98% |
47546
61.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4256
157.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4248
156.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17923
663.8 IPS |
|
|
Text Classification (SP)
|
100% |
3202
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
3175
4.24 KIPS |
|
|
Text Classification (Q)
|
92% |
5780
7.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
2695
46.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2757
47.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2689
46.3 IPS |