| User | rodrigo_rl |
| Upload Date | April 06 2026 09:06 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i7-13700K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z690 AORUS ULTRA |
| Motherboard | Gigabyte Technology Co., Ltd. Z690 AORUS ULTRA |
| Power Plan | Alto desempenho |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2260
420.3 IPS |
|
|
Image Classification (HP)
|
100% |
2997
557.4 IPS |
|
|
Image Classification (Q)
|
100% |
8786
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3850
62.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3728
60.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
8207
133.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5249
6.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
5385
6.28 IPS |
|
|
Pose Estimation (Q)
|
96% |
18637
21.8 IPS |
|
|
Object Detection (SP)
|
100% |
2516
199.6 IPS |
|
|
Object Detection (HP)
|
100% |
2436
193.2 IPS |
|
|
Object Detection (Q)
|
88% |
9293
744.9 IPS |
|
|
Face Detection (SP)
|
100% |
6422
76.3 IPS |
|
|
Face Detection (HP)
|
100% |
7321
87.0 IPS |
|
|
Face Detection (Q)
|
100% |
16010
190.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6721
51.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
6681
51.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
18808
146.3 IPS |
|
|
Style Transfer (SP)
|
100% |
15334
19.7 IPS |
|
|
Style Transfer (HP)
|
100% |
15312
19.7 IPS |
|
|
Style Transfer (Q)
|
98% |
53496
69.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3313
122.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3099
114.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11194
414.5 IPS |
|
|
Text Classification (SP)
|
100% |
3383
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
3806
5.08 KIPS |
|
|
Text Classification (Q)
|
92% |
5324
7.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3949
68.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3949
68.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3922
67.5 IPS |