| User | ViNsTeR777 |
| Upload Date | November 29 2024 03:49 AM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 3600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7B78 |
| Motherboard | Micro-Star International Co., Ltd. X470 GAMING PRO CARBON (MS-7B78) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1336
248.5 IPS |
|
|
Image Classification (HP)
|
100% |
446
82.9 IPS |
|
|
Image Classification (Q)
|
96% |
1714
320.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
933
15.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
536
8.68 IPS |
|
|
Image Segmentation (Q)
|
97% |
1445
23.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3828
4.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
3326
3.88 IPS |
|
|
Pose Estimation (Q)
|
87% |
5219
6.16 IPS |
|
|
Object Detection (SP)
|
100% |
1421
112.7 IPS |
|
|
Object Detection (HP)
|
100% |
515
40.9 IPS |
|
|
Object Detection (Q)
|
86% |
1235
99.3 IPS |
|
|
Face Detection (SP)
|
100% |
2502
29.7 IPS |
|
|
Face Detection (HP)
|
100% |
1249
14.8 IPS |
|
|
Face Detection (Q)
|
96% |
2952
35.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4903
37.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1730
13.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
4484
35.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8868
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
7824
10.1 IPS |
|
|
Style Transfer (Q)
|
87% |
10306
13.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1572
58.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1349
49.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1678
62.2 IPS |
|
|
Text Classification (SP)
|
100% |
1082
1.44 KIPS |
|
|
Text Classification (HP)
|
100% |
454
606.2 IPS |
|
|
Text Classification (Q)
|
97% |
384
514.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1718
29.6 IPS |
|
|
Machine Translation (HP)
|
100% |
582
10.0 IPS |
|
|
Machine Translation (Q)
|
60% |
1699
37.9 IPS |