| User | philip-park |
| Upload Date | March 18 2025 02:38 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i7-13700KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise LTSC (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 APEX ENCORE |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700KF |
| 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% |
2157
401.2 IPS |
|
|
Image Classification (HP)
|
100% |
2515
467.7 IPS |
|
|
Image Classification (Q)
|
100% |
2864
532.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1869
30.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1848
30.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3443
55.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5234
6.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
5394
6.29 IPS |
|
|
Pose Estimation (Q)
|
96% |
17617
20.6 IPS |
|
|
Object Detection (SP)
|
100% |
1761
139.7 IPS |
|
|
Object Detection (HP)
|
100% |
1773
140.6 IPS |
|
|
Object Detection (Q)
|
88% |
3698
296.4 IPS |
|
|
Face Detection (SP)
|
100% |
5756
68.4 IPS |
|
|
Face Detection (HP)
|
100% |
4725
56.1 IPS |
|
|
Face Detection (Q)
|
100% |
8453
100.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5902
45.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
5694
43.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
9327
72.5 IPS |
|
|
Style Transfer (SP)
|
100% |
15459
19.9 IPS |
|
|
Style Transfer (HP)
|
100% |
13776
17.7 IPS |
|
|
Style Transfer (Q)
|
98% |
34685
44.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1798
66.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2063
76.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5922
219.3 IPS |
|
|
Text Classification (SP)
|
100% |
1240
1.66 KIPS |
|
|
Text Classification (HP)
|
100% |
1735
2.32 KIPS |
|
|
Text Classification (Q)
|
92% |
3484
4.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
3370
58.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3371
58.1 IPS |
|
|
Machine Translation (Q)
|
100% |
3001
51.7 IPS |