| Upload Date | November 17 2025 03:12 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen Threadripper PRO 9995WX 96-Cores |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Supermicro Super Server |
| Motherboard | Supermicro H13SRH |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper PRO 9995WX 96-Cores |
| Topology | 1 Processor, 32 Cores |
| Identifier | AuthenticAMD Family 26 Model 8 Stepping 1 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 32 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3785
704.0 IPS |
|
|
Image Classification (HP)
|
100% |
809
150.4 IPS |
|
|
Image Classification (Q)
|
99% |
7710
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1388
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1420
23.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
18855
306.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
41711
48.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
17391
20.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
99299
116.4 IPS |
|
|
Object Detection (SP)
|
100% |
4638
367.9 IPS |
|
|
Object Detection (HP)
|
100% |
1014
80.4 IPS |
|
|
Object Detection (Q)
|
86% |
11792
947.7 IPS |
|
|
Face Detection (SP)
|
100% |
10094
119.9 IPS |
|
|
Face Detection (HP)
|
100% |
2218
26.4 IPS |
|
|
Face Detection (Q)
|
97% |
13762
164.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
18259
140.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4101
31.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
24497
195.5 IPS |
|
|
Style Transfer (SP)
|
100% |
45285
58.2 IPS |
|
|
Style Transfer (HP)
|
100% |
30611
39.4 IPS |
|
|
Style Transfer (Q)
|
98% |
59097
76.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3901
144.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2710
100.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1831
67.8 IPS |
|
|
Text Classification (SP)
|
100% |
1071
1.43 KIPS |
|
|
Text Classification (HP)
|
100% |
673
898.4 IPS |
|
|
Text Classification (Q)
|
97% |
863
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
2207
38.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1186
20.4 IPS |
|
|
Machine Translation (Q)
|
65% |
4279
86.0 IPS |