| User | hermeschen1116 |
| Upload Date | December 30 2024 08:21 AM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i5-13600K |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux trixie/sid |
| Model | Gigabyte Technology Co., Ltd. B660I AORUS PRO DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. B660I AORUS PRO DDR4 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600K |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 5.10 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.12 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3564
662.8 IPS |
|
|
Image Classification (HP)
|
100% |
3573
664.5 IPS |
|
|
Image Classification (Q)
|
100% |
7903
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3019
48.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3012
48.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
5033
81.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4880
5.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
6347
7.41 IPS |
|
|
Pose Estimation (Q)
|
96% |
24009
28.1 IPS |
|
|
Object Detection (SP)
|
100% |
2888
229.1 IPS |
|
|
Object Detection (HP)
|
100% |
2921
231.7 IPS |
|
|
Object Detection (Q)
|
88% |
8288
664.4 IPS |
|
|
Face Detection (SP)
|
100% |
5298
62.9 IPS |
|
|
Face Detection (HP)
|
100% |
5310
63.1 IPS |
|
|
Face Detection (Q)
|
100% |
18031
214.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7897
60.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
8014
61.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
21919
170.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18892
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
18972
24.4 IPS |
|
|
Style Transfer (Q)
|
98% |
68444
88.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4304
158.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4256
157.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13494
499.7 IPS |
|
|
Text Classification (SP)
|
100% |
3255
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
3246
4.33 KIPS |
|
|
Text Classification (Q)
|
92% |
5386
7.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
4124
71.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4118
70.9 IPS |
|
|
Machine Translation (Q)
|
100% |
4102
70.7 IPS |