| User | MrCrispr |
| Upload Date | September 15 2024 11:59 AM |
| Views | 21 |
| 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% |
2828
525.9 IPS |
|
|
Image Classification (HP)
|
100% |
869
161.7 IPS |
|
|
Image Classification (Q)
|
99% |
6526
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2717
44.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1489
24.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4099
66.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
30400
35.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
16525
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
83950
98.4 IPS |
|
|
Object Detection (SP)
|
100% |
3565
282.7 IPS |
|
|
Object Detection (HP)
|
100% |
1139
90.3 IPS |
|
|
Object Detection (Q)
|
88% |
3562
285.5 IPS |
|
|
Face Detection (SP)
|
100% |
5365
63.7 IPS |
|
|
Face Detection (HP)
|
100% |
2653
31.5 IPS |
|
|
Face Detection (Q)
|
97% |
7620
90.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
14762
113.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4232
32.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
15645
125.2 IPS |
|
|
Style Transfer (SP)
|
100% |
52415
67.4 IPS |
|
|
Style Transfer (HP)
|
100% |
39557
50.9 IPS |
|
|
Style Transfer (Q)
|
98% |
56803
73.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5352
197.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4188
154.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7084
262.3 IPS |
|
|
Text Classification (SP)
|
100% |
2590
3.46 KIPS |
|
|
Text Classification (HP)
|
100% |
978
1.31 KIPS |
|
|
Text Classification (Q)
|
97% |
605
810.1 IPS |
|
|
Machine Translation (SP)
|
100% |
4208
72.5 IPS |
|
|
Machine Translation (HP)
|
100% |
988
17.0 IPS |
|
|
Machine Translation (Q)
|
60% |
4191
93.5 IPS |