| Upload Date | November 17 2025 03:15 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% |
3831
712.5 IPS |
|
|
Image Classification (HP)
|
100% |
791
147.0 IPS |
|
|
Image Classification (Q)
|
99% |
6649
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1511
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1407
22.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
19048
309.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
40502
47.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16606
19.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
99359
116.5 IPS |
|
|
Object Detection (SP)
|
100% |
4764
377.9 IPS |
|
|
Object Detection (HP)
|
100% |
1010
80.1 IPS |
|
|
Object Detection (Q)
|
86% |
12024
966.4 IPS |
|
|
Face Detection (SP)
|
100% |
9759
116.0 IPS |
|
|
Face Detection (HP)
|
100% |
2157
25.6 IPS |
|
|
Face Detection (Q)
|
97% |
13242
157.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
16674
128.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3862
29.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
24476
195.3 IPS |
|
|
Style Transfer (SP)
|
100% |
44687
57.4 IPS |
|
|
Style Transfer (HP)
|
100% |
32365
41.6 IPS |
|
|
Style Transfer (Q)
|
98% |
60835
78.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3807
140.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2657
98.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1745
64.6 IPS |
|
|
Text Classification (SP)
|
100% |
1216
1.62 KIPS |
|
|
Text Classification (HP)
|
100% |
657
877.2 IPS |
|
|
Text Classification (Q)
|
97% |
879
1.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
2220
38.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1221
21.0 IPS |
|
|
Machine Translation (Q)
|
65% |
4203
84.5 IPS |