| User | Kos72 |
| Upload Date | March 15 2026 09:16 PM |
| Views | 9 |
| 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% |
4480
833.2 IPS |
|
|
Image Classification (HP)
|
100% |
4461
829.7 IPS |
|
|
Image Classification (Q)
|
100% |
10831
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6235
101.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6100
98.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
12657
205.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
12181
14.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12173
14.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
38086
44.6 IPS |
|
|
Object Detection (SP)
|
100% |
3728
295.7 IPS |
|
|
Object Detection (HP)
|
100% |
4227
335.3 IPS |
|
|
Object Detection (Q)
|
88% |
11914
955.1 IPS |
|
|
Face Detection (SP)
|
100% |
13937
165.6 IPS |
|
|
Face Detection (HP)
|
100% |
13911
165.3 IPS |
|
|
Face Detection (Q)
|
100% |
28545
339.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
12837
98.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
12920
99.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
32129
249.9 IPS |
|
|
Style Transfer (SP)
|
100% |
39618
50.9 IPS |
|
|
Style Transfer (HP)
|
100% |
39581
50.9 IPS |
|
|
Style Transfer (Q)
|
98% |
103041
132.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6153
227.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6196
228.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19028
704.7 IPS |
|
|
Text Classification (SP)
|
100% |
3402
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
3386
4.52 KIPS |
|
|
Text Classification (Q)
|
92% |
5409
7.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
2700
46.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2426
41.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2533
43.6 IPS |