| User | jcpenni |
| Upload Date | December 21 2024 09:32 PM |
| Views | 10 |
| 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% |
2302
428.2 IPS |
|
|
Image Classification (HP)
|
100% |
2302
428.1 IPS |
|
|
Image Classification (Q)
|
100% |
3567
663.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2207
35.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2208
35.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3919
63.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4923
5.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
4923
5.74 IPS |
|
|
Pose Estimation (Q)
|
94% |
9889
11.6 IPS |
|
|
Object Detection (SP)
|
100% |
2189
173.7 IPS |
|
|
Object Detection (HP)
|
100% |
2180
172.9 IPS |
|
|
Object Detection (Q)
|
87% |
3630
291.2 IPS |
|
|
Face Detection (SP)
|
100% |
3639
43.2 IPS |
|
|
Face Detection (HP)
|
100% |
3413
40.6 IPS |
|
|
Face Detection (Q)
|
97% |
9213
109.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6166
47.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
6146
47.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
10215
80.6 IPS |
|
|
Style Transfer (SP)
|
100% |
14234
18.3 IPS |
|
|
Style Transfer (HP)
|
100% |
14159
18.2 IPS |
|
|
Style Transfer (Q)
|
98% |
27804
35.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2809
103.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2820
104.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5837
216.2 IPS |
|
|
Text Classification (SP)
|
100% |
2504
3.34 KIPS |
|
|
Text Classification (HP)
|
100% |
2465
3.29 KIPS |
|
|
Text Classification (Q)
|
91% |
1235
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3148
54.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3112
53.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2985
51.4 IPS |