| User | Kos72 |
| Upload Date | March 15 2026 09:08 PM |
| Views | 8 |
| 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% |
4402
818.6 IPS |
|
|
Image Classification (HP)
|
100% |
4398
817.9 IPS |
|
|
Image Classification (Q)
|
100% |
11530
2.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5867
95.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6055
98.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
12953
210.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13589
15.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
13609
15.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
37740
44.2 IPS |
|
|
Object Detection (SP)
|
100% |
4193
332.6 IPS |
|
|
Object Detection (HP)
|
100% |
4200
333.2 IPS |
|
|
Object Detection (Q)
|
88% |
11887
952.9 IPS |
|
|
Face Detection (SP)
|
100% |
13813
164.1 IPS |
|
|
Face Detection (HP)
|
100% |
13777
163.7 IPS |
|
|
Face Detection (Q)
|
100% |
27873
331.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
12824
98.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
12837
98.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
32605
253.6 IPS |
|
|
Style Transfer (SP)
|
100% |
40015
51.4 IPS |
|
|
Style Transfer (HP)
|
100% |
39986
51.4 IPS |
|
|
Style Transfer (Q)
|
98% |
103938
134.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6145
226.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5495
202.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19097
707.2 IPS |
|
|
Text Classification (SP)
|
100% |
3484
4.65 KIPS |
|
|
Text Classification (HP)
|
100% |
3467
4.63 KIPS |
|
|
Text Classification (Q)
|
92% |
6178
8.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3037
52.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2253
38.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2731
47.0 IPS |