| User | Kos72 |
| Upload Date | March 21 2026 09:35 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% |
4382
814.9 IPS |
|
|
Image Classification (HP)
|
100% |
4407
819.6 IPS |
|
|
Image Classification (Q)
|
100% |
11754
2.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6769
109.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6747
109.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
12956
210.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9241
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
13548
15.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
20290
23.8 IPS |
|
|
Object Detection (SP)
|
100% |
3678
291.8 IPS |
|
|
Object Detection (HP)
|
100% |
3680
291.9 IPS |
|
|
Object Detection (Q)
|
88% |
12581
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
12124
144.1 IPS |
|
|
Face Detection (HP)
|
100% |
12320
146.4 IPS |
|
|
Face Detection (Q)
|
100% |
29117
346.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10018
77.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
10155
78.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
33464
260.3 IPS |
|
|
Style Transfer (SP)
|
100% |
26537
34.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26869
34.5 IPS |
|
|
Style Transfer (Q)
|
98% |
105231
135.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5216
192.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5216
192.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19604
726.0 IPS |
|
|
Text Classification (SP)
|
100% |
3526
4.71 KIPS |
|
|
Text Classification (HP)
|
100% |
3402
4.54 KIPS |
|
|
Text Classification (Q)
|
92% |
6350
8.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3589
61.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3494
60.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3399
58.5 IPS |