| Upload Date | December 12 2025 04:06 AM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen Threadripper PRO 9975WX 32-Cores |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. Pro WS WRX90E-SAGE SE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper PRO 9975WX |
| Topology | 1 Processor, 32 Cores, 64 Threads |
| Identifier | AuthenticAMD Family 26 Model 8 Stepping 1 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 32 Cores |
| Memory Information | |
|---|---|
| Size | 192.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4438
825.4 IPS |
|
|
Image Classification (HP)
|
100% |
790
147.0 IPS |
|
|
Image Classification (Q)
|
99% |
6619
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1874
30.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1387
22.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
18475
300.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
41654
48.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
16387
19.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
98811
115.9 IPS |
|
|
Object Detection (SP)
|
100% |
5104
404.8 IPS |
|
|
Object Detection (HP)
|
100% |
959
76.1 IPS |
|
|
Object Detection (Q)
|
86% |
11805
948.7 IPS |
|
|
Face Detection (SP)
|
100% |
10594
125.9 IPS |
|
|
Face Detection (HP)
|
100% |
2212
26.3 IPS |
|
|
Face Detection (Q)
|
97% |
13918
165.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
19409
149.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3975
30.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
21503
171.6 IPS |
|
|
Style Transfer (SP)
|
100% |
45499
58.5 IPS |
|
|
Style Transfer (HP)
|
100% |
30536
39.3 IPS |
|
|
Style Transfer (Q)
|
98% |
66012
85.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3715
137.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2652
97.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1792
66.4 IPS |
|
|
Text Classification (SP)
|
100% |
1103
1.47 KIPS |
|
|
Text Classification (HP)
|
100% |
678
904.6 IPS |
|
|
Text Classification (Q)
|
97% |
873
1.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
2257
38.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1103
19.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3996
80.3 IPS |