| User | xyviolin |
| Upload Date | March 17 2025 10:47 PM |
| Views | 7 |
| 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. B660 GAMING X DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. B660 GAMING X DDR4 |
| Power Plan | Balanced |
| 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 | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3261
606.4 IPS |
|
|
Image Classification (HP)
|
100% |
3329
619.1 IPS |
|
|
Image Classification (Q)
|
100% |
7452
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4130
66.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2815
45.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7529
122.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6280
7.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
6277
7.32 IPS |
|
|
Pose Estimation (Q)
|
96% |
23378
27.4 IPS |
|
|
Object Detection (SP)
|
100% |
3122
247.6 IPS |
|
|
Object Detection (HP)
|
100% |
3175
251.8 IPS |
|
|
Object Detection (Q)
|
88% |
7923
635.1 IPS |
|
|
Face Detection (SP)
|
100% |
7615
90.5 IPS |
|
|
Face Detection (HP)
|
100% |
7570
90.0 IPS |
|
|
Face Detection (Q)
|
100% |
18031
214.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8114
62.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
8098
62.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
20164
156.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18538
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
18637
24.0 IPS |
|
|
Style Transfer (Q)
|
98% |
53145
68.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2374
87.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4027
148.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12405
459.4 IPS |
|
|
Text Classification (SP)
|
100% |
2973
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3030
4.04 KIPS |
|
|
Text Classification (Q)
|
92% |
4757
6.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
4944
85.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4901
84.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4842
83.4 IPS |