| User | yee245 |
| Upload Date | October 09 2025 05:34 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 3900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550 AORUS MASTER |
| Motherboard | Gigabyte Technology Co., Ltd. B550 AORUS MASTER |
| Power Plan | AMD Ryzen High Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 3900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.79 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2184
406.1 IPS |
|
|
Image Classification (HP)
|
100% |
459
85.3 IPS |
|
|
Image Classification (Q)
|
96% |
3172
592.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1226
19.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
515
8.35 IPS |
|
|
Image Segmentation (Q)
|
97% |
3299
53.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5973
6.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
4430
5.17 IPS |
|
|
Pose Estimation (Q)
|
86% |
7896
9.34 IPS |
|
|
Object Detection (SP)
|
100% |
2108
167.2 IPS |
|
|
Object Detection (HP)
|
100% |
535
42.4 IPS |
|
|
Object Detection (Q)
|
58% |
2301
251.4 IPS |
|
|
Face Detection (SP)
|
100% |
4842
57.5 IPS |
|
|
Face Detection (HP)
|
100% |
1181
14.0 IPS |
|
|
Face Detection (Q)
|
96% |
6411
76.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6409
49.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1807
13.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
7786
62.1 IPS |
|
|
Style Transfer (SP)
|
100% |
13486
17.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10826
13.9 IPS |
|
|
Style Transfer (Q)
|
87% |
14691
19.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1764
65.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1597
59.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1877
69.5 IPS |
|
|
Text Classification (SP)
|
100% |
955
1.27 KIPS |
|
|
Text Classification (HP)
|
100% |
488
652.0 IPS |
|
|
Text Classification (Q)
|
97% |
346
464.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1704
29.4 IPS |
|
|
Machine Translation (HP)
|
100% |
736
12.7 IPS |
|
|
Machine Translation (Q)
|
68% |
1831
35.4 IPS |