| Upload Date | November 17 2025 02:38 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% |
3804
707.4 IPS |
|
|
Image Classification (HP)
|
100% |
776
144.3 IPS |
|
|
Image Classification (Q)
|
99% |
6665
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1412
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1411
22.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
19922
323.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
42839
50.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
15947
18.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
85830
100.6 IPS |
|
|
Object Detection (SP)
|
100% |
4732
375.3 IPS |
|
|
Object Detection (HP)
|
100% |
1032
81.9 IPS |
|
|
Object Detection (Q)
|
86% |
10804
868.3 IPS |
|
|
Face Detection (SP)
|
100% |
10298
122.4 IPS |
|
|
Face Detection (HP)
|
100% |
2148
25.5 IPS |
|
|
Face Detection (Q)
|
97% |
13373
159.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
19155
147.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4037
31.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
23188
185.0 IPS |
|
|
Style Transfer (SP)
|
100% |
45058
57.9 IPS |
|
|
Style Transfer (HP)
|
100% |
30568
39.3 IPS |
|
|
Style Transfer (Q)
|
98% |
59186
76.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3883
143.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2423
89.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1702
63.0 IPS |
|
|
Text Classification (SP)
|
100% |
1217
1.63 KIPS |
|
|
Text Classification (HP)
|
100% |
663
885.4 IPS |
|
|
Text Classification (Q)
|
97% |
836
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2218
38.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1264
21.8 IPS |
|
|
Machine Translation (Q)
|
65% |
3884
78.1 IPS |