| User | MrCrispr |
| Upload Date | August 16 2024 05:26 AM |
| Views | 13 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR VIII HERO (WI-FI) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1675
311.4 IPS |
|
|
Image Classification (HP)
|
100% |
149
27.7 IPS |
|
|
Image Classification (Q)
|
97% |
3722
694.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2074
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
255
4.14 IPS |
|
|
Image Segmentation (Q)
|
97% |
2798
45.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8674
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
6620
7.72 IPS |
|
|
Pose Estimation (Q)
|
87% |
21241
25.1 IPS |
|
|
Object Detection (SP)
|
100% |
2200
174.5 IPS |
|
|
Object Detection (HP)
|
100% |
212
16.8 IPS |
|
|
Object Detection (Q)
|
86% |
1993
160.2 IPS |
|
|
Face Detection (SP)
|
100% |
2675
31.8 IPS |
|
|
Face Detection (HP)
|
100% |
318
3.78 IPS |
|
|
Face Detection (Q)
|
96% |
4363
52.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7171
55.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1035
7.98 IPS |
|
|
Depth Estimation (Q)
|
76% |
8599
69.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19895
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
16997
21.8 IPS |
|
|
Style Transfer (Q)
|
87% |
18827
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2458
90.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2021
74.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3553
131.6 IPS |
|
|
Text Classification (SP)
|
100% |
1620
2.16 KIPS |
|
|
Text Classification (HP)
|
100% |
589
785.8 IPS |
|
|
Text Classification (Q)
|
97% |
432
578.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2253
38.8 IPS |
|
|
Machine Translation (HP)
|
100% |
617
10.6 IPS |
|
|
Machine Translation (Q)
|
60% |
2193
48.9 IPS |