| User | Kos72 |
| Upload Date | March 21 2026 09:37 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% |
4456
828.7 IPS |
|
|
Image Classification (HP)
|
100% |
4422
822.4 IPS |
|
|
Image Classification (Q)
|
100% |
11775
2.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6766
109.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6775
109.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
12983
210.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13473
15.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
13604
15.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
38256
44.8 IPS |
|
|
Object Detection (SP)
|
100% |
3581
284.1 IPS |
|
|
Object Detection (HP)
|
100% |
3682
292.1 IPS |
|
|
Object Detection (Q)
|
88% |
12660
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
12380
147.1 IPS |
|
|
Face Detection (HP)
|
100% |
12068
143.4 IPS |
|
|
Face Detection (Q)
|
100% |
29217
347.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
10355
79.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
10886
83.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
33772
262.7 IPS |
|
|
Style Transfer (SP)
|
100% |
39236
50.4 IPS |
|
|
Style Transfer (HP)
|
100% |
39676
51.0 IPS |
|
|
Style Transfer (Q)
|
98% |
106242
137.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6125
226.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6135
226.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19735
730.8 IPS |
|
|
Text Classification (SP)
|
100% |
3404
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
3449
4.60 KIPS |
|
|
Text Classification (Q)
|
92% |
6326
8.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
4007
69.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3382
58.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3744
64.5 IPS |