| Upload Date | December 18 2025 03:05 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% |
3092
575.0 IPS |
|
|
Image Classification (HP)
|
100% |
3058
568.7 IPS |
|
|
Image Classification (Q)
|
100% |
4961
922.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3412
55.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3487
56.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
5519
89.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6521
7.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
6510
7.60 IPS |
|
|
Pose Estimation (Q)
|
94% |
12995
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
2903
230.2 IPS |
|
|
Object Detection (HP)
|
100% |
2896
229.7 IPS |
|
|
Object Detection (Q)
|
87% |
4847
388.7 IPS |
|
|
Face Detection (SP)
|
100% |
4792
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
4684
55.7 IPS |
|
|
Face Detection (Q)
|
97% |
13238
157.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7968
61.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
8095
62.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
13195
104.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19446
25.0 IPS |
|
|
Style Transfer (HP)
|
100% |
19149
24.6 IPS |
|
|
Style Transfer (Q)
|
98% |
37452
48.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3860
142.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3891
143.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7436
275.4 IPS |
|
|
Text Classification (SP)
|
100% |
3067
4.09 KIPS |
|
|
Text Classification (HP)
|
100% |
2954
3.94 KIPS |
|
|
Text Classification (Q)
|
91% |
900
1.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
4077
70.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3858
66.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3844
66.2 IPS |