| User | Waldek |
| Upload Date | November 05 2024 09:37 PM |
| Views | 6 |
| 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 AERO G |
| Motherboard | Gigabyte Technology Co., Ltd. X570S AERO G |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1097
203.9 IPS |
|
|
Image Classification (HP)
|
100% |
415
77.2 IPS |
|
|
Image Classification (Q)
|
96% |
2871
536.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1289
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
591
9.58 IPS |
|
|
Image Segmentation (Q)
|
97% |
2438
39.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8673
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
4650
5.43 IPS |
|
|
Pose Estimation (Q)
|
87% |
17514
20.7 IPS |
|
|
Object Detection (SP)
|
100% |
1394
110.6 IPS |
|
|
Object Detection (HP)
|
100% |
509
40.4 IPS |
|
|
Object Detection (Q)
|
86% |
1370
110.2 IPS |
|
|
Face Detection (SP)
|
100% |
1326
15.8 IPS |
|
|
Face Detection (HP)
|
100% |
905
10.7 IPS |
|
|
Face Detection (Q)
|
96% |
2170
25.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4931
38.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1777
13.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
3666
29.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16466
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
15680
20.2 IPS |
|
|
Style Transfer (Q)
|
87% |
10451
13.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1833
67.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1433
52.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3037
112.5 IPS |
|
|
Text Classification (SP)
|
100% |
1189
1.59 KIPS |
|
|
Text Classification (HP)
|
100% |
483
645.1 IPS |
|
|
Text Classification (Q)
|
97% |
397
532.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1548
26.7 IPS |
|
|
Machine Translation (HP)
|
100% |
502
8.64 IPS |
|
|
Machine Translation (Q)
|
60% |
1932
43.1 IPS |