| Upload Date | November 15 2025 12:24 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550M AORUS ELITE |
| Motherboard | Gigabyte Technology Co., Ltd. B550M AORUS ELITE |
| Power Plan | Alto desempenho |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1948
362.2 IPS |
|
|
Image Classification (HP)
|
100% |
421
78.2 IPS |
|
|
Image Classification (Q)
|
96% |
4044
755.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1333
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
645
10.5 IPS |
|
|
Image Segmentation (Q)
|
97% |
4734
77.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3772
4.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
3163
3.69 IPS |
|
|
Pose Estimation (Q)
|
86% |
8640
10.2 IPS |
|
|
Object Detection (SP)
|
100% |
1875
148.8 IPS |
|
|
Object Detection (HP)
|
100% |
570
45.2 IPS |
|
|
Object Detection (Q)
|
58% |
2804
306.4 IPS |
|
|
Face Detection (SP)
|
100% |
4610
54.8 IPS |
|
|
Face Detection (HP)
|
100% |
1259
15.0 IPS |
|
|
Face Detection (Q)
|
96% |
6876
82.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5057
39.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1622
12.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
8751
69.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9844
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
7783
10.0 IPS |
|
|
Style Transfer (Q)
|
87% |
13556
17.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1663
61.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1654
61.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4258
157.8 IPS |
|
|
Text Classification (SP)
|
100% |
1637
2.18 KIPS |
|
|
Text Classification (HP)
|
100% |
870
1.16 KIPS |
|
|
Text Classification (Q)
|
97% |
1363
1.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
2406
41.5 IPS |
|
|
Machine Translation (HP)
|
100% |
901
15.5 IPS |
|
|
Machine Translation (Q)
|
68% |
3122
60.3 IPS |