| User | MindLogic |
| Upload Date | February 27 2025 10:11 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 FORMULA |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4527
841.9 IPS |
|
|
Image Classification (HP)
|
100% |
572
106.3 IPS |
|
|
Image Classification (Q)
|
99% |
6988
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2280
37.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1028
16.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3750
61.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11522
13.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
5152
6.01 IPS |
|
|
Pose Estimation (Q)
|
94% |
35382
41.5 IPS |
|
|
Object Detection (SP)
|
100% |
4263
338.2 IPS |
|
|
Object Detection (HP)
|
100% |
768
60.9 IPS |
|
|
Object Detection (Q)
|
86% |
7702
619.0 IPS |
|
|
Face Detection (SP)
|
100% |
11859
140.9 IPS |
|
|
Face Detection (HP)
|
100% |
1852
22.0 IPS |
|
|
Face Detection (Q)
|
97% |
11980
142.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13160
101.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2231
17.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
18942
151.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25832
33.2 IPS |
|
|
Style Transfer (HP)
|
100% |
12933
16.6 IPS |
|
|
Style Transfer (Q)
|
98% |
29573
38.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4177
154.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2387
88.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5280
195.5 IPS |
|
|
Text Classification (SP)
|
100% |
1737
2.32 KIPS |
|
|
Text Classification (HP)
|
100% |
766
1.02 KIPS |
|
|
Text Classification (Q)
|
97% |
1712
2.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
2130
36.7 IPS |
|
|
Machine Translation (HP)
|
100% |
823
14.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3659
73.5 IPS |