| User | MrCrispr |
| Upload Date | September 16 2024 07:42 AM |
| Views | 15 |
| 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% |
3038
565.0 IPS |
|
|
Image Classification (HP)
|
100% |
890
165.6 IPS |
|
|
Image Classification (Q)
|
99% |
7029
1.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2788
45.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1469
23.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4125
67.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
30482
35.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18634
21.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
83974
98.4 IPS |
|
|
Object Detection (SP)
|
100% |
3574
283.5 IPS |
|
|
Object Detection (HP)
|
100% |
1145
90.8 IPS |
|
|
Object Detection (Q)
|
88% |
3644
292.1 IPS |
|
|
Face Detection (SP)
|
100% |
5364
63.7 IPS |
|
|
Face Detection (HP)
|
100% |
2636
31.3 IPS |
|
|
Face Detection (Q)
|
97% |
7483
89.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
14495
111.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4361
33.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
16391
131.2 IPS |
|
|
Style Transfer (SP)
|
100% |
53068
68.2 IPS |
|
|
Style Transfer (HP)
|
100% |
39866
51.2 IPS |
|
|
Style Transfer (Q)
|
98% |
57932
74.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5483
202.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4129
152.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7185
266.1 IPS |
|
|
Text Classification (SP)
|
100% |
2404
3.21 KIPS |
|
|
Text Classification (HP)
|
100% |
1007
1.34 KIPS |
|
|
Text Classification (Q)
|
97% |
632
847.1 IPS |
|
|
Machine Translation (SP)
|
100% |
4365
75.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1002
17.3 IPS |
|
|
Machine Translation (Q)
|
60% |
4142
92.4 IPS |