| User | ATOM |
| Upload Date | December 09 2025 08:52 PM |
| Views | 1 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900K |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z690 HERO |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| 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 | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3565
663.0 IPS |
|
|
Image Classification (HP)
|
100% |
3360
624.9 IPS |
|
|
Image Classification (Q)
|
100% |
10121
1.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5124
83.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5181
84.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
11302
183.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9614
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
9643
11.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
29826
34.9 IPS |
|
|
Object Detection (SP)
|
100% |
3398
269.6 IPS |
|
|
Object Detection (HP)
|
100% |
3476
275.7 IPS |
|
|
Object Detection (Q)
|
88% |
10731
860.2 IPS |
|
|
Face Detection (SP)
|
100% |
11149
132.5 IPS |
|
|
Face Detection (HP)
|
100% |
11129
132.2 IPS |
|
|
Face Detection (Q)
|
100% |
21496
255.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9541
73.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
9285
71.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
26965
209.7 IPS |
|
|
Style Transfer (SP)
|
100% |
26342
33.9 IPS |
|
|
Style Transfer (HP)
|
100% |
25222
32.4 IPS |
|
|
Style Transfer (Q)
|
98% |
81857
105.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4781
176.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4677
172.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16785
621.6 IPS |
|
|
Text Classification (SP)
|
100% |
3105
4.14 KIPS |
|
|
Text Classification (HP)
|
100% |
3035
4.05 KIPS |
|
|
Text Classification (Q)
|
92% |
5796
7.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
2644
45.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2596
44.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2694
46.4 IPS |