| User | xyviolin |
| Upload Date | September 15 2025 03:37 PM |
| Views | 6 |
| 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% |
3128
581.7 IPS |
|
|
Image Classification (HP)
|
100% |
3151
585.9 IPS |
|
|
Image Classification (Q)
|
100% |
7406
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3912
63.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3867
62.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7182
116.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5937
6.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
5902
6.89 IPS |
|
|
Pose Estimation (Q)
|
96% |
21852
25.6 IPS |
|
|
Object Detection (SP)
|
100% |
2987
236.9 IPS |
|
|
Object Detection (HP)
|
100% |
3003
238.2 IPS |
|
|
Object Detection (Q)
|
88% |
7527
603.4 IPS |
|
|
Face Detection (SP)
|
100% |
7707
91.6 IPS |
|
|
Face Detection (HP)
|
100% |
7539
89.6 IPS |
|
|
Face Detection (Q)
|
100% |
16767
199.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7524
58.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
7558
58.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
18777
146.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17588
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
17322
22.3 IPS |
|
|
Style Transfer (Q)
|
98% |
59142
76.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3713
137.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3690
136.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11803
437.1 IPS |
|
|
Text Classification (SP)
|
100% |
2911
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
2907
3.88 KIPS |
|
|
Text Classification (Q)
|
92% |
4719
6.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
4719
81.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4742
81.7 IPS |
|
|
Machine Translation (Q)
|
100% |
4656
80.2 IPS |