| User | cweilong |
| Upload Date | July 11 2025 06:30 AM |
| Views | 12 |
| 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% |
13055
2.43 KIPS |
|
|
Image Classification (HP)
|
100% |
16800
3.12 KIPS |
|
|
Image Classification (Q)
|
100% |
11289
2.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
31365
508.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
38755
628.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
27927
454.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
336097
392.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
762568
889.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
295401
346.0 IPS |
|
|
Object Detection (SP)
|
100% |
19117
1.52 KIPS |
|
|
Object Detection (HP)
|
100% |
23435
1.86 KIPS |
|
|
Object Detection (Q)
|
85% |
15793
1.27 KIPS |
|
|
Face Detection (SP)
|
100% |
56259
668.5 IPS |
|
|
Face Detection (HP)
|
100% |
70368
836.1 IPS |
|
|
Face Detection (Q)
|
97% |
47159
562.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
91042
701.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
161220
1.24 KIPS |
|
|
Depth Estimation (Q)
|
77% |
66200
530.2 IPS |
|
|
Style Transfer (SP)
|
100% |
525629
675.7 IPS |
|
|
Style Transfer (HP)
|
100% |
1361868
1.75 KIPS |
|
|
Style Transfer (Q)
|
98% |
379401
489.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
57848
2.14 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
74096
2.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43655
1.62 KIPS |
|
|
Text Classification (SP)
|
100% |
3169
4.23 KIPS |
|
|
Text Classification (HP)
|
100% |
3939
5.26 KIPS |
|
|
Text Classification (Q)
|
97% |
1872
2.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
6052
104.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6159
106.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2462
46.2 IPS |