| User | MrCrispr |
| Upload Date | September 16 2024 08:58 AM |
| Views | 10 |
| 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% |
2843
528.7 IPS |
|
|
Image Classification (HP)
|
100% |
900
167.4 IPS |
|
|
Image Classification (Q)
|
99% |
6567
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2247
36.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1523
24.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4272
69.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
31225
36.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18192
21.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
87646
102.7 IPS |
|
|
Object Detection (SP)
|
100% |
3708
294.1 IPS |
|
|
Object Detection (HP)
|
100% |
1122
89.0 IPS |
|
|
Object Detection (Q)
|
88% |
3679
294.9 IPS |
|
|
Face Detection (SP)
|
100% |
5443
64.7 IPS |
|
|
Face Detection (HP)
|
100% |
2768
32.9 IPS |
|
|
Face Detection (Q)
|
97% |
7819
93.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
15002
115.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4494
34.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
14902
119.3 IPS |
|
|
Style Transfer (SP)
|
100% |
53945
69.3 IPS |
|
|
Style Transfer (HP)
|
100% |
40541
52.1 IPS |
|
|
Style Transfer (Q)
|
98% |
58247
75.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5569
205.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4221
155.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7279
269.5 IPS |
|
|
Text Classification (SP)
|
100% |
2387
3.19 KIPS |
|
|
Text Classification (HP)
|
100% |
1047
1.40 KIPS |
|
|
Text Classification (Q)
|
97% |
635
850.2 IPS |
|
|
Machine Translation (SP)
|
100% |
4190
72.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1075
18.5 IPS |
|
|
Machine Translation (Q)
|
60% |
4188
93.4 IPS |