| Upload Date | December 12 2025 10:21 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5800X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B450M DS3H |
| Motherboard | Gigabyte Technology Co., Ltd. B450M DS3H-CF |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1935
359.8 IPS |
|
|
Image Classification (HP)
|
100% |
408
75.9 IPS |
|
|
Image Classification (Q)
|
96% |
3952
738.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1584
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
657
10.7 IPS |
|
|
Image Segmentation (Q)
|
97% |
4434
72.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3635
4.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
3153
3.68 IPS |
|
|
Pose Estimation (Q)
|
86% |
7316
8.65 IPS |
|
|
Object Detection (SP)
|
100% |
1643
130.3 IPS |
|
|
Object Detection (HP)
|
100% |
491
38.9 IPS |
|
|
Object Detection (Q)
|
58% |
2226
243.2 IPS |
|
|
Face Detection (SP)
|
100% |
3611
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
999
11.9 IPS |
|
|
Face Detection (Q)
|
96% |
5523
65.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4813
37.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1485
11.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
7215
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
8882
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
7957
10.2 IPS |
|
|
Style Transfer (Q)
|
87% |
11338
14.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1681
62.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1512
55.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3473
128.7 IPS |
|
|
Text Classification (SP)
|
100% |
1309
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
661
882.8 IPS |
|
|
Text Classification (Q)
|
97% |
1032
1.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1715
29.6 IPS |
|
|
Machine Translation (HP)
|
100% |
668
11.5 IPS |
|
|
Machine Translation (Q)
|
68% |
2449
47.3 IPS |