| User | sultz |
| Upload Date | April 13 2025 04:45 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen Threadripper PRO 7965WX 24-Cores |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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 7965WX 24-Cores |
| Topology | 1 Processor, 24 Cores, 48 Threads |
| Identifier | AuthenticAMD Family 25 Model 24 Stepping 1 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 24 Cores |
| Memory Information | |
|---|---|
| Size | 512.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3313
616.1 IPS |
|
|
Image Classification (HP)
|
100% |
348
64.8 IPS |
|
|
Image Classification (Q)
|
99% |
6554
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1720
27.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
665
10.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3664
59.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
17931
20.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
7362
8.59 IPS |
|
|
Pose Estimation (Q)
|
94% |
42893
50.3 IPS |
|
|
Object Detection (SP)
|
100% |
3426
271.8 IPS |
|
|
Object Detection (HP)
|
100% |
465
36.8 IPS |
|
|
Object Detection (Q)
|
86% |
8717
700.6 IPS |
|
|
Face Detection (SP)
|
100% |
7163
85.1 IPS |
|
|
Face Detection (HP)
|
100% |
1232
14.6 IPS |
|
|
Face Detection (Q)
|
97% |
10889
129.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13789
106.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2120
16.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
11831
94.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18268
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
16590
21.3 IPS |
|
|
Style Transfer (Q)
|
98% |
41543
53.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1307
48.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1158
42.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2028
75.1 IPS |
|
|
Text Classification (SP)
|
100% |
820
1.09 KIPS |
|
|
Text Classification (HP)
|
100% |
357
476.7 IPS |
|
|
Text Classification (Q)
|
97% |
1120
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1620
27.9 IPS |
|
|
Machine Translation (HP)
|
100% |
467
8.04 IPS |
|
|
Machine Translation (Q)
|
65% |
3111
62.5 IPS |