| User | Shagularpus |
| Upload Date | August 16 2024 07:38 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550 AORUS ELITE AX V2 |
| Motherboard | Gigabyte Technology Co., Ltd. B550 AORUS ELITE AX V2 |
| Power Plan | AMD Ryzen High Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1496
278.3 IPS |
|
|
Image Classification (HP)
|
100% |
154
28.6 IPS |
|
|
Image Classification (Q)
|
97% |
3222
601.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1590
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
249
4.03 IPS |
|
|
Image Segmentation (Q)
|
97% |
1807
29.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3990
4.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
3183
3.71 IPS |
|
|
Pose Estimation (Q)
|
87% |
9296
11.0 IPS |
|
|
Object Detection (SP)
|
100% |
1423
112.9 IPS |
|
|
Object Detection (HP)
|
100% |
209
16.6 IPS |
|
|
Object Detection (Q)
|
86% |
1844
148.3 IPS |
|
|
Face Detection (SP)
|
100% |
1996
23.7 IPS |
|
|
Face Detection (HP)
|
100% |
305
3.62 IPS |
|
|
Face Detection (Q)
|
96% |
3467
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5121
39.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
930
7.17 IPS |
|
|
Depth Estimation (Q)
|
76% |
5241
42.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9960
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
8704
11.2 IPS |
|
|
Style Transfer (Q)
|
87% |
12122
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1990
73.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1691
62.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2832
105.0 IPS |
|
|
Text Classification (SP)
|
100% |
1622
2.17 KIPS |
|
|
Text Classification (HP)
|
100% |
626
835.9 IPS |
|
|
Text Classification (Q)
|
97% |
412
551.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2177
37.5 IPS |
|
|
Machine Translation (HP)
|
100% |
620
10.7 IPS |
|
|
Machine Translation (Q)
|
60% |
2069
46.2 IPS |