| User | mrtime |
| Upload Date | May 05 2025 05:18 AM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen Threadripper PRO 5955WX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. Pro WS WRX80E-SAGE SE WIFI II |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper PRO 5955WX |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 8 Stepping 2 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2741
509.7 IPS |
|
|
Image Classification (HP)
|
100% |
469
87.3 IPS |
|
|
Image Classification (Q)
|
96% |
5755
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1906
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
686
11.1 IPS |
|
|
Image Segmentation (Q)
|
97% |
3208
52.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8792
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
5946
6.94 IPS |
|
|
Pose Estimation (Q)
|
86% |
19458
23.0 IPS |
|
|
Object Detection (SP)
|
100% |
2905
230.4 IPS |
|
|
Object Detection (HP)
|
100% |
597
47.3 IPS |
|
|
Object Detection (Q)
|
58% |
4711
514.8 IPS |
|
|
Face Detection (SP)
|
100% |
6176
73.4 IPS |
|
|
Face Detection (HP)
|
100% |
1365
16.2 IPS |
|
|
Face Detection (Q)
|
96% |
9775
116.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9567
73.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2265
17.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
13733
109.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18782
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
17688
22.7 IPS |
|
|
Style Transfer (Q)
|
87% |
29672
38.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2001
73.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1657
61.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2688
99.6 IPS |
|
|
Text Classification (SP)
|
100% |
1161
1.55 KIPS |
|
|
Text Classification (HP)
|
100% |
529
706.3 IPS |
|
|
Text Classification (Q)
|
97% |
1157
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1839
31.7 IPS |
|
|
Machine Translation (HP)
|
100% |
594
10.2 IPS |
|
|
Machine Translation (Q)
|
68% |
2700
52.2 IPS |