| Upload Date | August 15 2024 03:37 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% |
1128
209.8 IPS |
|
|
Image Classification (HP)
|
100% |
94
17.4 IPS |
|
|
Image Classification (Q)
|
97% |
1943
362.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1074
17.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
129
2.08 IPS |
|
|
Image Segmentation (Q)
|
97% |
2017
32.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
17530
20.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
6724
7.85 IPS |
|
|
Pose Estimation (Q)
|
87% |
15624
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
1586
125.8 IPS |
|
|
Object Detection (HP)
|
100% |
128
10.2 IPS |
|
|
Object Detection (Q)
|
86% |
1086
87.3 IPS |
|
|
Face Detection (SP)
|
100% |
2394
28.4 IPS |
|
|
Face Detection (HP)
|
100% |
190
2.26 IPS |
|
|
Face Detection (Q)
|
96% |
3014
36.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7151
55.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
667
5.14 IPS |
|
|
Depth Estimation (Q)
|
76% |
6245
50.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24502
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
16188
20.8 IPS |
|
|
Style Transfer (Q)
|
87% |
21000
27.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2014
74.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1305
48.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1647
61.0 IPS |
|
|
Text Classification (SP)
|
100% |
754
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
328
438.1 IPS |
|
|
Text Classification (Q)
|
97% |
326
436.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1133
19.5 IPS |
|
|
Machine Translation (HP)
|
100% |
393
6.77 IPS |
|
|
Machine Translation (Q)
|
60% |
1465
32.7 IPS |