| User | EriksLV |
| Upload Date | August 29 2024 10:32 AM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X570S I AORUS PRO AX |
| Motherboard | Gigabyte Technology Co., Ltd. X570S I AORUS PRO AX |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1785
332.0 IPS |
|
|
Image Classification (HP)
|
100% |
151
28.1 IPS |
|
|
Image Classification (Q)
|
97% |
3554
663.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2200
35.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
246
3.99 IPS |
|
|
Image Segmentation (Q)
|
97% |
2760
44.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11635
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
7534
8.79 IPS |
|
|
Pose Estimation (Q)
|
87% |
23126
27.3 IPS |
|
|
Object Detection (SP)
|
100% |
2248
178.3 IPS |
|
|
Object Detection (HP)
|
100% |
215
17.1 IPS |
|
|
Object Detection (Q)
|
86% |
1993
160.2 IPS |
|
|
Face Detection (SP)
|
100% |
3206
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
311
3.69 IPS |
|
|
Face Detection (Q)
|
96% |
4447
53.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8739
67.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1048
8.07 IPS |
|
|
Depth Estimation (Q)
|
76% |
8981
72.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25385
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
21163
27.2 IPS |
|
|
Style Transfer (Q)
|
87% |
21824
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2643
97.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2083
76.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3293
122.0 IPS |
|
|
Text Classification (SP)
|
100% |
1493
1.99 KIPS |
|
|
Text Classification (HP)
|
100% |
597
797.2 IPS |
|
|
Text Classification (Q)
|
97% |
409
547.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2241
38.6 IPS |
|
|
Machine Translation (HP)
|
100% |
609
10.5 IPS |
|
|
Machine Translation (Q)
|
60% |
2166
48.3 IPS |