| User | lautajo |
| Upload Date | November 26 2024 03:09 PM |
| Views | 16 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i9-13900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 APEX |
| Power Plan | Paras suoritusteho |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3755
698.4 IPS |
|
|
Image Classification (HP)
|
100% |
3943
733.3 IPS |
|
|
Image Classification (Q)
|
100% |
9428
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4563
74.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4579
74.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
6928
112.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9654
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
9643
11.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
33470
39.2 IPS |
|
|
Object Detection (SP)
|
100% |
2922
231.8 IPS |
|
|
Object Detection (HP)
|
100% |
3388
268.7 IPS |
|
|
Object Detection (Q)
|
88% |
10075
807.6 IPS |
|
|
Face Detection (SP)
|
100% |
9743
115.8 IPS |
|
|
Face Detection (HP)
|
100% |
11476
136.4 IPS |
|
|
Face Detection (Q)
|
100% |
25871
307.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9827
75.7 IPS |
|
|
Depth Estimation (HP)
|
100% |
9584
73.8 IPS |
|
|
Depth Estimation (Q)
|
80% |
28228
223.7 IPS |
|
|
Style Transfer (SP)
|
100% |
26691
34.3 IPS |
|
|
Style Transfer (HP)
|
100% |
27945
35.9 IPS |
|
|
Style Transfer (Q)
|
98% |
86943
112.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4569
168.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5295
195.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17194
636.8 IPS |
|
|
Text Classification (SP)
|
100% |
1722
2.30 KIPS |
|
|
Text Classification (HP)
|
100% |
1495
1.99 KIPS |
|
|
Text Classification (Q)
|
92% |
4705
6.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3172
54.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3162
54.5 IPS |
|
|
Machine Translation (Q)
|
85% |
6045
105.8 IPS |