| Upload Date | November 18 2025 11:25 AM |
| 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% |
4142
770.2 IPS |
|
|
Image Classification (HP)
|
100% |
837
155.6 IPS |
|
|
Image Classification (Q)
|
99% |
8370
1.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1506
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1494
24.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
21181
344.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
45434
53.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
17809
20.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
98436
115.4 IPS |
|
|
Object Detection (SP)
|
100% |
4858
385.4 IPS |
|
|
Object Detection (HP)
|
100% |
1103
87.5 IPS |
|
|
Object Detection (Q)
|
86% |
12495
1.00 KIPS |
|
|
Face Detection (SP)
|
100% |
10965
130.3 IPS |
|
|
Face Detection (HP)
|
100% |
2254
26.8 IPS |
|
|
Face Detection (Q)
|
97% |
14864
177.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
18934
145.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4403
33.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
23936
191.0 IPS |
|
|
Style Transfer (SP)
|
100% |
50629
65.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32357
41.6 IPS |
|
|
Style Transfer (Q)
|
98% |
70722
91.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4302
158.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2905
107.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2006
74.3 IPS |
|
|
Text Classification (SP)
|
100% |
1157
1.54 KIPS |
|
|
Text Classification (HP)
|
100% |
703
938.0 IPS |
|
|
Text Classification (Q)
|
97% |
860
1.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
2797
48.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1362
23.5 IPS |
|
|
Machine Translation (Q)
|
65% |
4307
86.6 IPS |