| User | MrCrispr |
| Upload Date | September 16 2024 08:23 AM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E HERO |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2893
538.0 IPS |
|
|
Image Classification (HP)
|
100% |
860
159.8 IPS |
|
|
Image Classification (Q)
|
99% |
7316
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2788
45.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1544
25.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4378
71.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
30833
36.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18267
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
86636
101.5 IPS |
|
|
Object Detection (SP)
|
100% |
3746
297.1 IPS |
|
|
Object Detection (HP)
|
100% |
1138
90.2 IPS |
|
|
Object Detection (Q)
|
88% |
3678
294.9 IPS |
|
|
Face Detection (SP)
|
100% |
5366
63.8 IPS |
|
|
Face Detection (HP)
|
100% |
2636
31.3 IPS |
|
|
Face Detection (Q)
|
97% |
7790
92.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
14857
114.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4322
33.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
16336
130.8 IPS |
|
|
Style Transfer (SP)
|
100% |
50344
64.7 IPS |
|
|
Style Transfer (HP)
|
100% |
40510
52.1 IPS |
|
|
Style Transfer (Q)
|
98% |
56654
73.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5802
214.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4336
160.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7238
268.0 IPS |
|
|
Text Classification (SP)
|
100% |
2608
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
1002
1.34 KIPS |
|
|
Text Classification (Q)
|
97% |
634
849.2 IPS |
|
|
Machine Translation (SP)
|
100% |
4502
77.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1029
17.7 IPS |
|
|
Machine Translation (Q)
|
60% |
4186
93.4 IPS |