| User | Kos72 |
| Upload Date | March 21 2026 09:20 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 APEX ENCORE |
| Power Plan | Prestazioni elevate |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KF |
| 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% |
4427
823.3 IPS |
|
|
Image Classification (HP)
|
100% |
3948
734.2 IPS |
|
|
Image Classification (Q)
|
100% |
11569
2.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5731
92.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6176
100.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
12607
204.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
12130
14.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12437
14.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
38004
44.5 IPS |
|
|
Object Detection (SP)
|
100% |
3831
303.9 IPS |
|
|
Object Detection (HP)
|
100% |
3763
298.5 IPS |
|
|
Object Detection (Q)
|
88% |
12326
988.1 IPS |
|
|
Face Detection (SP)
|
100% |
12911
153.4 IPS |
|
|
Face Detection (HP)
|
100% |
12903
153.3 IPS |
|
|
Face Detection (Q)
|
100% |
28313
336.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10925
84.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
10897
84.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
31972
248.7 IPS |
|
|
Style Transfer (SP)
|
100% |
26956
34.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26723
34.4 IPS |
|
|
Style Transfer (Q)
|
98% |
52992
68.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5001
184.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4969
183.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19108
707.6 IPS |
|
|
Text Classification (SP)
|
100% |
3368
4.49 KIPS |
|
|
Text Classification (HP)
|
100% |
3478
4.64 KIPS |
|
|
Text Classification (Q)
|
92% |
5893
7.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3585
61.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3250
56.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3005
51.8 IPS |