| Upload Date | December 18 2025 03:14 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-9900K CPU @ 3.60GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer XF |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B365-PLUS |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3244
603.3 IPS |
|
|
Image Classification (HP)
|
100% |
3177
590.9 IPS |
|
|
Image Classification (Q)
|
100% |
4956
921.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3408
55.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3543
57.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
5576
90.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6561
7.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
6549
7.64 IPS |
|
|
Pose Estimation (Q)
|
94% |
13030
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
2895
229.6 IPS |
|
|
Object Detection (HP)
|
100% |
2954
234.3 IPS |
|
|
Object Detection (Q)
|
87% |
4823
386.8 IPS |
|
|
Face Detection (SP)
|
100% |
4672
55.5 IPS |
|
|
Face Detection (HP)
|
100% |
4690
55.7 IPS |
|
|
Face Detection (Q)
|
97% |
13246
157.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8016
61.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
7917
61.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
13046
102.9 IPS |
|
|
Style Transfer (SP)
|
100% |
19159
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
18350
23.6 IPS |
|
|
Style Transfer (Q)
|
98% |
37115
47.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3941
145.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3877
143.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7511
278.2 IPS |
|
|
Text Classification (SP)
|
100% |
3113
4.16 KIPS |
|
|
Text Classification (HP)
|
100% |
3043
4.06 KIPS |
|
|
Text Classification (Q)
|
91% |
880
1.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3892
67.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3924
67.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3909
67.3 IPS |