| User | Sufferage |
| Upload Date | August 31 2024 11:30 AM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 3800XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B450-PLUS |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3800XT |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1418
263.7 IPS |
|
|
Image Classification (HP)
|
100% |
121
22.4 IPS |
|
|
Image Classification (Q)
|
97% |
2180
406.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1001
16.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
168
2.72 IPS |
|
|
Image Segmentation (Q)
|
97% |
1608
26.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5892
6.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
4550
5.31 IPS |
|
|
Pose Estimation (Q)
|
87% |
6652
7.86 IPS |
|
|
Object Detection (SP)
|
100% |
1615
128.1 IPS |
|
|
Object Detection (HP)
|
100% |
172
13.7 IPS |
|
|
Object Detection (Q)
|
86% |
1305
104.9 IPS |
|
|
Face Detection (SP)
|
100% |
2196
26.1 IPS |
|
|
Face Detection (HP)
|
100% |
256
3.05 IPS |
|
|
Face Detection (Q)
|
96% |
2970
35.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6345
48.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
798
6.15 IPS |
|
|
Depth Estimation (Q)
|
76% |
4760
38.4 IPS |
|
|
Style Transfer (SP)
|
100% |
13817
17.8 IPS |
|
|
Style Transfer (HP)
|
100% |
10222
13.1 IPS |
|
|
Style Transfer (Q)
|
87% |
11477
14.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1920
70.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1611
59.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1865
69.1 IPS |
|
|
Text Classification (SP)
|
100% |
1271
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
470
627.6 IPS |
|
|
Text Classification (Q)
|
97% |
392
524.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1589
27.4 IPS |
|
|
Machine Translation (HP)
|
100% |
546
9.41 IPS |
|
|
Machine Translation (Q)
|
60% |
1593
35.5 IPS |