| User | cweilong |
| Upload Date | July 11 2025 06:32 AM |
| Views | 17 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. Pro WS W790E-SAGE SE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Xeon(R) w7-3545 |
| Topology | 1 Processor, 24 Cores, 48 Threads |
| Identifier | GenuineIntel Family 6 Model 143 Stepping 8 |
| Base Frequency | 2.71 GHz |
| Cluster 1 | 24 Cores |
| Memory Information | |
|---|---|
| Size | 512.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13692
2.55 KIPS |
|
|
Image Classification (HP)
|
100% |
17137
3.19 KIPS |
|
|
Image Classification (Q)
|
100% |
10986
2.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
30996
502.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
39361
638.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
28210
458.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
315849
368.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
726504
847.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
285881
334.9 IPS |
|
|
Object Detection (SP)
|
100% |
19120
1.52 KIPS |
|
|
Object Detection (HP)
|
100% |
23882
1.89 KIPS |
|
|
Object Detection (Q)
|
85% |
15872
1.28 KIPS |
|
|
Face Detection (SP)
|
100% |
56879
675.8 IPS |
|
|
Face Detection (HP)
|
100% |
70848
841.8 IPS |
|
|
Face Detection (Q)
|
97% |
46934
559.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
80113
617.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
159056
1.23 KIPS |
|
|
Depth Estimation (Q)
|
77% |
59463
476.3 IPS |
|
|
Style Transfer (SP)
|
100% |
531700
683.5 IPS |
|
|
Style Transfer (HP)
|
100% |
1333960
1.71 KIPS |
|
|
Style Transfer (Q)
|
98% |
448615
578.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
54983
2.03 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
75217
2.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42943
1.59 KIPS |
|
|
Text Classification (SP)
|
100% |
3198
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
3890
5.19 KIPS |
|
|
Text Classification (Q)
|
97% |
1724
2.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
6167
106.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6120
105.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2539
47.6 IPS |