| User | electric0xyg3n |
| Upload Date | January 06 2026 10:17 AM |
| Views | 9 |
| Notes | Computer in Daily Driver mode |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 3800X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X570-PLUS (WI-FI) |
| Power Plan | ChrisTitus - Ultimate Power Plan |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3800X |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1449
269.5 IPS |
|
|
Image Classification (HP)
|
100% |
340
63.2 IPS |
|
|
Image Classification (Q)
|
96% |
1855
346.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
705
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
415
6.74 IPS |
|
|
Image Segmentation (Q)
|
97% |
2277
37.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3501
4.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
2878
3.36 IPS |
|
|
Pose Estimation (Q)
|
86% |
4067
4.81 IPS |
|
|
Object Detection (SP)
|
100% |
1432
113.6 IPS |
|
|
Object Detection (HP)
|
100% |
413
32.7 IPS |
|
|
Object Detection (Q)
|
58% |
1389
151.8 IPS |
|
|
Face Detection (SP)
|
100% |
2917
34.7 IPS |
|
|
Face Detection (HP)
|
100% |
824
9.79 IPS |
|
|
Face Detection (Q)
|
96% |
4104
49.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4069
31.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1275
9.82 IPS |
|
|
Depth Estimation (Q)
|
78% |
4455
35.6 IPS |
|
|
Style Transfer (SP)
|
100% |
8343
10.7 IPS |
|
|
Style Transfer (HP)
|
100% |
6931
8.91 IPS |
|
|
Style Transfer (Q)
|
87% |
8005
10.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1219
45.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1113
41.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1687
62.5 IPS |
|
|
Text Classification (SP)
|
100% |
876
1.17 KIPS |
|
|
Text Classification (HP)
|
100% |
410
547.0 IPS |
|
|
Text Classification (Q)
|
97% |
605
810.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1133
19.5 IPS |
|
|
Machine Translation (HP)
|
100% |
517
8.91 IPS |
|
|
Machine Translation (Q)
|
68% |
1409
27.2 IPS |