| User | Kos72 |
| Upload Date | March 15 2026 09:06 PM |
| Views | 5 |
| 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% |
4396
817.4 IPS |
|
|
Image Classification (HP)
|
100% |
4379
814.4 IPS |
|
|
Image Classification (Q)
|
100% |
11489
2.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6042
97.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6005
97.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
12722
206.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13450
15.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12230
14.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
38003
44.5 IPS |
|
|
Object Detection (SP)
|
100% |
3754
297.8 IPS |
|
|
Object Detection (HP)
|
100% |
3908
310.0 IPS |
|
|
Object Detection (Q)
|
88% |
12143
973.4 IPS |
|
|
Face Detection (SP)
|
100% |
13219
157.1 IPS |
|
|
Face Detection (HP)
|
100% |
13807
164.1 IPS |
|
|
Face Detection (Q)
|
100% |
28397
337.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12746
98.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
12843
98.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
32470
252.6 IPS |
|
|
Style Transfer (SP)
|
100% |
39839
51.2 IPS |
|
|
Style Transfer (HP)
|
100% |
39491
50.8 IPS |
|
|
Style Transfer (Q)
|
98% |
101806
131.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6122
226.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6146
227.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19353
716.7 IPS |
|
|
Text Classification (SP)
|
100% |
3418
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
3436
4.59 KIPS |
|
|
Text Classification (Q)
|
92% |
6188
8.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
2973
51.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2465
42.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2993
51.6 IPS |