| User | MrCrispr |
| Upload Date | September 16 2024 09:28 AM |
| Views | 12 |
| 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% |
2717
505.4 IPS |
|
|
Image Classification (HP)
|
100% |
880
163.6 IPS |
|
|
Image Classification (Q)
|
99% |
6527
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2843
46.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1517
24.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4162
67.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
31198
36.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18371
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
87540
102.6 IPS |
|
|
Object Detection (SP)
|
100% |
3612
286.5 IPS |
|
|
Object Detection (HP)
|
100% |
1151
91.3 IPS |
|
|
Object Detection (Q)
|
88% |
3583
287.2 IPS |
|
|
Face Detection (SP)
|
100% |
5497
65.3 IPS |
|
|
Face Detection (HP)
|
100% |
2733
32.5 IPS |
|
|
Face Detection (Q)
|
97% |
7801
93.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
14375
110.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4469
34.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
16152
129.3 IPS |
|
|
Style Transfer (SP)
|
100% |
54123
69.6 IPS |
|
|
Style Transfer (HP)
|
100% |
40658
52.3 IPS |
|
|
Style Transfer (Q)
|
98% |
57472
74.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5567
205.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4153
153.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7272
269.3 IPS |
|
|
Text Classification (SP)
|
100% |
2731
3.65 KIPS |
|
|
Text Classification (HP)
|
100% |
1025
1.37 KIPS |
|
|
Text Classification (Q)
|
97% |
648
868.4 IPS |
|
|
Machine Translation (SP)
|
100% |
4519
77.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1032
17.8 IPS |
|
|
Machine Translation (Q)
|
60% |
4303
96.0 IPS |