| Upload Date | November 10 2025 07:41 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 3800X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro for Workstations (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X570-F GAMING |
| Power Plan | AMD Ryzen High Performance |
| 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% |
1556
289.4 IPS |
|
|
Image Classification (HP)
|
100% |
392
72.9 IPS |
|
|
Image Classification (Q)
|
96% |
2413
450.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
953
15.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
493
8.00 IPS |
|
|
Image Segmentation (Q)
|
97% |
2085
33.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3866
4.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
3218
3.76 IPS |
|
|
Pose Estimation (Q)
|
86% |
5121
6.05 IPS |
|
|
Object Detection (SP)
|
100% |
1499
118.9 IPS |
|
|
Object Detection (HP)
|
100% |
471
37.3 IPS |
|
|
Object Detection (Q)
|
58% |
1530
167.1 IPS |
|
|
Face Detection (SP)
|
100% |
2934
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
1011
12.0 IPS |
|
|
Face Detection (Q)
|
96% |
4793
57.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4514
34.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1487
11.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
5234
41.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8761
11.3 IPS |
|
|
Style Transfer (HP)
|
100% |
7170
9.22 IPS |
|
|
Style Transfer (Q)
|
87% |
8768
11.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1276
47.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1253
46.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1899
70.4 IPS |
|
|
Text Classification (SP)
|
100% |
984
1.31 KIPS |
|
|
Text Classification (HP)
|
100% |
477
636.1 IPS |
|
|
Text Classification (Q)
|
97% |
334
446.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1253
21.6 IPS |
|
|
Machine Translation (HP)
|
100% |
575
9.91 IPS |
|
|
Machine Translation (Q)
|
68% |
1468
28.4 IPS |