| User | xyviolin |
| Upload Date | October 04 2025 10:46 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i5-13600K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z690 GAMING X DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. Z690 GAMING X DDR4 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.49 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2835
527.2 IPS |
|
|
Image Classification (HP)
|
100% |
2814
523.4 IPS |
|
|
Image Classification (Q)
|
100% |
6515
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3678
59.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3849
62.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7176
116.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5976
6.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
5956
6.95 IPS |
|
|
Pose Estimation (Q)
|
96% |
22592
26.5 IPS |
|
|
Object Detection (SP)
|
100% |
2928
232.2 IPS |
|
|
Object Detection (HP)
|
100% |
2921
231.7 IPS |
|
|
Object Detection (Q)
|
88% |
7461
598.1 IPS |
|
|
Face Detection (SP)
|
100% |
7689
91.4 IPS |
|
|
Face Detection (HP)
|
100% |
7650
90.9 IPS |
|
|
Face Detection (Q)
|
100% |
17072
202.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7667
59.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
7708
59.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
18901
147.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17929
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
17822
22.9 IPS |
|
|
Style Transfer (Q)
|
98% |
61080
78.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3752
138.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3837
141.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11750
435.2 IPS |
|
|
Text Classification (SP)
|
100% |
2766
3.69 KIPS |
|
|
Text Classification (HP)
|
100% |
2791
3.73 KIPS |
|
|
Text Classification (Q)
|
92% |
4367
5.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
4620
79.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4629
79.7 IPS |
|
|
Machine Translation (Q)
|
100% |
4604
79.3 IPS |