| User | jcpenni |
| Upload Date | October 25 2025 05:08 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-10600K CPU @ 4.10GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z490 VISION G |
| Motherboard | Gigabyte Technology Co., Ltd. Z490 VISION G |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10600K |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 4.10 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
544
101.1 IPS |
|
|
Image Classification (HP)
|
100% |
526
97.8 IPS |
|
|
Image Classification (Q)
|
100% |
833
154.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
665
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
675
10.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1034
16.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1109
1.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
1114
1.30 IPS |
|
|
Pose Estimation (Q)
|
94% |
2019
2.37 IPS |
|
|
Object Detection (SP)
|
100% |
527
41.8 IPS |
|
|
Object Detection (HP)
|
100% |
562
44.6 IPS |
|
|
Object Detection (Q)
|
87% |
821
65.9 IPS |
|
|
Face Detection (SP)
|
100% |
1531
18.2 IPS |
|
|
Face Detection (HP)
|
100% |
1464
17.4 IPS |
|
|
Face Detection (Q)
|
97% |
2414
28.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1349
10.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1404
10.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
2166
17.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3256
4.19 IPS |
|
|
Style Transfer (HP)
|
100% |
3556
4.57 IPS |
|
|
Style Transfer (Q)
|
98% |
5903
7.61 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
681
25.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
683
25.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1165
43.1 IPS |
|
|
Text Classification (SP)
|
100% |
806
1.08 KIPS |
|
|
Text Classification (HP)
|
100% |
586
782.0 IPS |
|
|
Text Classification (Q)
|
91% |
280
375.9 IPS |
|
|
Machine Translation (SP)
|
100% |
977
16.8 IPS |
|
|
Machine Translation (HP)
|
100% |
942
16.2 IPS |
|
|
Machine Translation (Q)
|
100% |
943
16.2 IPS |