| User | sultz |
| Upload Date | April 13 2025 04:30 PM |
| Views | 9 |
| 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% |
3218
598.5 IPS |
|
|
Image Classification (HP)
|
100% |
357
66.5 IPS |
|
|
Image Classification (Q)
|
99% |
6794
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1757
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
697
11.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3793
61.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
17730
20.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
7373
8.60 IPS |
|
|
Pose Estimation (Q)
|
94% |
43723
51.3 IPS |
|
|
Object Detection (SP)
|
100% |
3545
281.2 IPS |
|
|
Object Detection (HP)
|
100% |
456
36.2 IPS |
|
|
Object Detection (Q)
|
86% |
8769
704.8 IPS |
|
|
Face Detection (SP)
|
100% |
7254
86.2 IPS |
|
|
Face Detection (HP)
|
100% |
1242
14.8 IPS |
|
|
Face Detection (Q)
|
97% |
10722
127.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13112
101.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2066
15.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
11177
89.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18291
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
16524
21.2 IPS |
|
|
Style Transfer (Q)
|
98% |
41878
54.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1308
48.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1145
42.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2067
76.5 IPS |
|
|
Text Classification (SP)
|
100% |
924
1.23 KIPS |
|
|
Text Classification (HP)
|
100% |
350
467.0 IPS |
|
|
Text Classification (Q)
|
97% |
1126
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1623
28.0 IPS |
|
|
Machine Translation (HP)
|
100% |
460
7.93 IPS |
|
|
Machine Translation (Q)
|
65% |
3046
61.2 IPS |