| User | Kos72 |
| Upload Date | March 15 2026 09:19 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% |
4469
831.1 IPS |
|
|
Image Classification (HP)
|
100% |
4480
833.2 IPS |
|
|
Image Classification (Q)
|
100% |
10714
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6732
109.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6777
109.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
12545
203.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
13549
15.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
13561
15.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
37145
43.5 IPS |
|
|
Object Detection (SP)
|
100% |
4191
332.5 IPS |
|
|
Object Detection (HP)
|
100% |
4202
333.3 IPS |
|
|
Object Detection (Q)
|
88% |
11772
943.7 IPS |
|
|
Face Detection (SP)
|
100% |
13245
157.4 IPS |
|
|
Face Detection (HP)
|
100% |
12773
151.8 IPS |
|
|
Face Detection (Q)
|
100% |
28267
335.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11654
89.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
11843
91.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
33138
257.7 IPS |
|
|
Style Transfer (SP)
|
100% |
35590
45.8 IPS |
|
|
Style Transfer (HP)
|
100% |
35690
45.9 IPS |
|
|
Style Transfer (Q)
|
98% |
53528
69.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5205
192.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5309
196.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18916
700.5 IPS |
|
|
Text Classification (SP)
|
100% |
3435
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
3383
4.52 KIPS |
|
|
Text Classification (Q)
|
92% |
5473
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3364
58.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3442
59.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2996
51.6 IPS |