| Upload Date | August 15 2024 03:37 AM |
| Views | 20 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 3600X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix GA15DH_G15DH |
| Motherboard | ASUSTeK COMPUTER INC. GA15DH |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.79 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1186
220.5 IPS |
|
|
Image Classification (HP)
|
100% |
112
20.9 IPS |
|
|
Image Classification (Q)
|
97% |
1722
321.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
719
11.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
145
2.35 IPS |
|
|
Image Segmentation (Q)
|
97% |
1226
19.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4634
5.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
3725
4.35 IPS |
|
|
Pose Estimation (Q)
|
87% |
4773
5.64 IPS |
|
|
Object Detection (SP)
|
100% |
1237
98.1 IPS |
|
|
Object Detection (HP)
|
100% |
158
12.5 IPS |
|
|
Object Detection (Q)
|
86% |
1106
88.9 IPS |
|
|
Face Detection (SP)
|
100% |
1575
18.7 IPS |
|
|
Face Detection (HP)
|
100% |
223
2.65 IPS |
|
|
Face Detection (Q)
|
96% |
2149
25.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4633
35.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
720
5.55 IPS |
|
|
Depth Estimation (Q)
|
76% |
3682
29.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10211
13.1 IPS |
|
|
Style Transfer (HP)
|
100% |
8257
10.6 IPS |
|
|
Style Transfer (Q)
|
87% |
8224
10.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1664
61.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1440
53.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1504
55.7 IPS |
|
|
Text Classification (SP)
|
100% |
1012
1.35 KIPS |
|
|
Text Classification (HP)
|
100% |
428
571.4 IPS |
|
|
Text Classification (Q)
|
97% |
352
471.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1362
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
494
8.50 IPS |
|
|
Machine Translation (Q)
|
60% |
1418
31.6 IPS |