| Upload Date | November 18 2025 11:20 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% |
4965
923.4 IPS |
|
|
Image Classification (HP)
|
100% |
834
155.0 IPS |
|
|
Image Classification (Q)
|
99% |
7071
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1531
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1424
23.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
21822
354.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
45966
53.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17673
20.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
98270
115.2 IPS |
|
|
Object Detection (SP)
|
100% |
4989
395.7 IPS |
|
|
Object Detection (HP)
|
100% |
1125
89.2 IPS |
|
|
Object Detection (Q)
|
86% |
13559
1.09 KIPS |
|
|
Face Detection (SP)
|
100% |
10951
130.1 IPS |
|
|
Face Detection (HP)
|
100% |
2294
27.3 IPS |
|
|
Face Detection (Q)
|
97% |
14939
178.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
18336
141.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4383
33.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
28143
224.6 IPS |
|
|
Style Transfer (SP)
|
100% |
51193
65.8 IPS |
|
|
Style Transfer (HP)
|
100% |
32551
41.8 IPS |
|
|
Style Transfer (Q)
|
98% |
69781
90.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4240
156.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2913
107.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2023
74.9 IPS |
|
|
Text Classification (SP)
|
100% |
1277
1.71 KIPS |
|
|
Text Classification (HP)
|
100% |
728
972.3 IPS |
|
|
Text Classification (Q)
|
97% |
900
1.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
2790
48.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1341
23.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3834
77.0 IPS |