| User | sobakhsh |
| Upload Date | December 16 2025 05:14 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. A520M S2H |
| Motherboard | Gigabyte Technology Co., Ltd. A520M S2H |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1538
286.0 IPS |
|
|
Image Classification (HP)
|
100% |
398
74.0 IPS |
|
|
Image Classification (Q)
|
96% |
2675
499.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1117
18.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
545
8.84 IPS |
|
|
Image Segmentation (Q)
|
97% |
3115
50.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2752
3.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
2284
2.66 IPS |
|
|
Pose Estimation (Q)
|
86% |
5420
6.41 IPS |
|
|
Object Detection (SP)
|
100% |
1260
99.9 IPS |
|
|
Object Detection (HP)
|
100% |
459
36.4 IPS |
|
|
Object Detection (Q)
|
58% |
1817
198.6 IPS |
|
|
Face Detection (SP)
|
100% |
3387
40.2 IPS |
|
|
Face Detection (HP)
|
100% |
1026
12.2 IPS |
|
|
Face Detection (Q)
|
96% |
4945
59.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3444
26.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1337
10.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
5643
45.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6750
8.68 IPS |
|
|
Style Transfer (HP)
|
100% |
5597
7.19 IPS |
|
|
Style Transfer (Q)
|
87% |
9743
12.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1214
44.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1087
40.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2251
83.4 IPS |
|
|
Text Classification (SP)
|
100% |
1214
1.62 KIPS |
|
|
Text Classification (HP)
|
100% |
609
812.8 IPS |
|
|
Text Classification (Q)
|
97% |
975
1.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1653
28.5 IPS |
|
|
Machine Translation (HP)
|
100% |
609
10.5 IPS |
|
|
Machine Translation (Q)
|
68% |
2104
40.6 IPS |