| Upload Date | August 11 2024 10:48 AM |
| Views | 15 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen Threadripper PRO 3975WX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 30E00097US |
| Motherboard | LENOVO 1046 |
| Power Plan | Lenovo Default |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper PRO 3975WX |
| Topology | 1 Processor, 32 Cores, 64 Threads |
| Identifier | AuthenticAMD Family 23 Model 49 Stepping 0 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 32 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1078
200.5 IPS |
|
|
Image Classification (HP)
|
100% |
92
17.1 IPS |
|
|
Image Classification (Q)
|
97% |
1929
360.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1093
17.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
126
2.04 IPS |
|
|
Image Segmentation (Q)
|
97% |
2029
33.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
17930
20.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
6906
8.06 IPS |
|
|
Pose Estimation (Q)
|
87% |
15387
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
1571
124.6 IPS |
|
|
Object Detection (HP)
|
100% |
128
10.1 IPS |
|
|
Object Detection (Q)
|
86% |
1032
83.0 IPS |
|
|
Face Detection (SP)
|
100% |
2320
27.6 IPS |
|
|
Face Detection (HP)
|
100% |
190
2.26 IPS |
|
|
Face Detection (Q)
|
96% |
3014
36.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7247
55.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
676
5.21 IPS |
|
|
Depth Estimation (Q)
|
76% |
6208
50.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24266
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
16086
20.7 IPS |
|
|
Style Transfer (Q)
|
87% |
21075
27.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2008
74.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1307
48.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1666
61.7 IPS |
|
|
Text Classification (SP)
|
100% |
721
962.2 IPS |
|
|
Text Classification (HP)
|
100% |
339
452.5 IPS |
|
|
Text Classification (Q)
|
97% |
323
432.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1135
19.6 IPS |
|
|
Machine Translation (HP)
|
100% |
391
6.73 IPS |
|
|
Machine Translation (Q)
|
60% |
1415
31.6 IPS |