| User | SergeyAT |
| Upload Date | January 04 2026 06:16 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. Pro WS WRX80E-SAGE SE WIFI II |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper PRO 3975WX |
| Topology | 1 Processor, 32 Cores |
| Identifier | AuthenticAMD Family 23 Model 49 Stepping 0 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 32 Cores |
| Memory Information | |
|---|---|
| Size | 512.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12588
2.34 KIPS |
|
|
Image Classification (HP)
|
99% |
16385
3.06 KIPS |
|
|
Image Classification (Q)
|
100% |
10652
1.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11784
191.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
13265
215.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
11287
183.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
300216
350.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
486228
567.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
261320
306.2 IPS |
|
|
Object Detection (SP)
|
100% |
14819
1.18 KIPS |
|
|
Object Detection (HP)
|
100% |
18125
1.44 KIPS |
|
|
Object Detection (Q)
|
86% |
12888
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
44093
523.9 IPS |
|
|
Face Detection (HP)
|
100% |
53270
633.0 IPS |
|
|
Face Detection (Q)
|
97% |
38184
455.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
86602
667.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
141578
1.09 KIPS |
|
|
Depth Estimation (Q)
|
77% |
65113
520.8 IPS |
|
|
Style Transfer (SP)
|
100% |
477353
613.6 IPS |
|
|
Style Transfer (HP)
|
100% |
816760
1.05 KIPS |
|
|
Style Transfer (Q)
|
98% |
411356
530.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45074
1.66 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
55696
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34894
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
2928
3.91 KIPS |
|
|
Text Classification (HP)
|
99% |
3405
4.54 KIPS |
|
|
Text Classification (Q)
|
97% |
1872
2.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
2838
48.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2810
48.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1728
32.4 IPS |