| User | drakian54 |
| Upload Date | May 11 2025 11:10 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd MS-7B86 |
| Motherboard | Micro-Star International Co., Ltd B450 GAMING PLUS MAX (MS-7B86) |
| Power Plan | Balanced |
| 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% |
2644
491.7 IPS |
|
|
Image Classification (HP)
|
100% |
553
102.9 IPS |
|
|
Image Classification (Q)
|
96% |
4782
892.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1879
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
731
11.8 IPS |
|
|
Image Segmentation (Q)
|
97% |
2725
44.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4534
5.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
3962
4.62 IPS |
|
|
Pose Estimation (Q)
|
86% |
10633
12.6 IPS |
|
|
Object Detection (SP)
|
100% |
2216
175.8 IPS |
|
|
Object Detection (HP)
|
100% |
701
55.6 IPS |
|
|
Object Detection (Q)
|
58% |
3407
372.3 IPS |
|
|
Face Detection (SP)
|
100% |
5451
64.8 IPS |
|
|
Face Detection (HP)
|
100% |
1561
18.5 IPS |
|
|
Face Detection (Q)
|
96% |
8392
100.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6807
52.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2045
15.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
10512
83.9 IPS |
|
|
Style Transfer (SP)
|
100% |
12145
15.6 IPS |
|
|
Style Transfer (HP)
|
100% |
9424
12.1 IPS |
|
|
Style Transfer (Q)
|
87% |
15352
20.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2186
80.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1824
67.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3146
116.6 IPS |
|
|
Text Classification (SP)
|
100% |
1435
1.92 KIPS |
|
|
Text Classification (HP)
|
100% |
737
983.7 IPS |
|
|
Text Classification (Q)
|
97% |
1577
2.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2375
40.9 IPS |
|
|
Machine Translation (HP)
|
100% |
776
13.4 IPS |
|
|
Machine Translation (Q)
|
68% |
3587
69.3 IPS |