| User | mariahsnodules |
| Upload Date | September 10 2024 10:10 AM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| 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 5700G |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1425
265.0 IPS |
|
|
Image Classification (HP)
|
100% |
1985
369.1 IPS |
|
|
Image Classification (Q)
|
99% |
1196
223.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1744
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2152
34.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1485
24.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15862
18.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
28072
32.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
12740
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1596
126.6 IPS |
|
|
Object Detection (HP)
|
100% |
2090
165.8 IPS |
|
|
Object Detection (Q)
|
89% |
1175
94.1 IPS |
|
|
Face Detection (SP)
|
100% |
3272
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
4675
55.5 IPS |
|
|
Face Detection (Q)
|
97% |
2520
30.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8668
66.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
12657
97.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
6367
51.1 IPS |
|
|
Style Transfer (SP)
|
100% |
26986
34.7 IPS |
|
|
Style Transfer (HP)
|
100% |
44970
57.8 IPS |
|
|
Style Transfer (Q)
|
98% |
21018
27.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5494
202.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8315
307.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3649
135.1 IPS |
|
|
Text Classification (SP)
|
100% |
1233
1.65 KIPS |
|
|
Text Classification (HP)
|
100% |
1351
1.80 KIPS |
|
|
Text Classification (Q)
|
97% |
829
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2012
34.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2132
36.7 IPS |
|
|
Machine Translation (Q)
|
60% |
733
16.5 IPS |