| Upload Date | November 18 2025 11:34 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% |
4052
753.6 IPS |
|
|
Image Classification (HP)
|
100% |
895
166.5 IPS |
|
|
Image Classification (Q)
|
99% |
7691
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1375
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1486
24.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
20648
335.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
46107
53.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
17801
20.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
110952
130.1 IPS |
|
|
Object Detection (SP)
|
100% |
4924
390.6 IPS |
|
|
Object Detection (HP)
|
100% |
1037
82.3 IPS |
|
|
Object Detection (Q)
|
86% |
13050
1.05 KIPS |
|
|
Face Detection (SP)
|
100% |
11055
131.4 IPS |
|
|
Face Detection (HP)
|
100% |
2291
27.2 IPS |
|
|
Face Detection (Q)
|
97% |
14805
176.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
19068
146.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4320
33.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
25161
200.8 IPS |
|
|
Style Transfer (SP)
|
100% |
50915
65.5 IPS |
|
|
Style Transfer (HP)
|
100% |
33810
43.5 IPS |
|
|
Style Transfer (Q)
|
98% |
70473
90.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4238
156.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2928
108.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2121
78.6 IPS |
|
|
Text Classification (SP)
|
100% |
1145
1.53 KIPS |
|
|
Text Classification (HP)
|
100% |
681
908.4 IPS |
|
|
Text Classification (Q)
|
97% |
919
1.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
2562
44.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1385
23.9 IPS |
|
|
Machine Translation (Q)
|
65% |
4217
84.7 IPS |