| User | springkim |
| Upload Date | April 18 2025 05:22 PM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 770 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B660M-PLUS D4 |
| 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 | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
812
151.0 IPS |
|
|
Image Classification (HP)
|
100% |
831
154.6 IPS |
|
|
Image Classification (Q)
|
100% |
679
126.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1085
17.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1227
19.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
822
13.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5517
6.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
6175
7.21 IPS |
|
|
Pose Estimation (Q)
|
96% |
3741
4.38 IPS |
|
|
Object Detection (SP)
|
100% |
880
69.8 IPS |
|
|
Object Detection (HP)
|
98% |
774
61.6 IPS |
|
|
Object Detection (Q)
|
86% |
739
59.4 IPS |
|
|
Face Detection (SP)
|
100% |
1745
20.7 IPS |
|
|
Face Detection (HP)
|
100% |
1916
22.8 IPS |
|
|
Face Detection (Q)
|
97% |
1306
15.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3259
25.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
3568
27.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
2415
19.3 IPS |
|
|
Style Transfer (SP)
|
100% |
11440
14.7 IPS |
|
|
Style Transfer (HP)
|
100% |
15271
19.6 IPS |
|
|
Style Transfer (Q)
|
98% |
8459
10.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1983
73.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2744
101.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
995
36.8 IPS |
|
|
Text Classification (SP)
|
100% |
955
1.27 KIPS |
|
|
Text Classification (HP)
|
100% |
574
766.0 IPS |
|
|
Text Classification (Q)
|
97% |
478
640.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1183
20.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1143
19.7 IPS |
|
|
Machine Translation (Q)
|
70% |
505
9.48 IPS |