Upload Date | January 04 2025 02:41 AM |
Views | 1 |
AI Information | |
---|---|
Framework | ONNX |
Backend | CPU |
Device | AMD Ryzen 7 2700X |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Education N (64-bit) |
Model | Micro-Star International Co., Ltd. MS-7B89 |
Motherboard | Micro-Star International Co., Ltd. B450M MORTAR (MS-7B89) |
Power Plan | Ultimate Performance |
CPU Information | |
---|---|
Name | AMD Ryzen 7 2700X |
Topology | 1 Processor, 8 Cores, 16 Threads |
Identifier | AuthenticAMD Family 23 Model 8 Stepping 2 |
Base Frequency | 3.70 GHz |
Cluster 1 | 8 Cores |
Memory Information | |
---|---|
Size | 16.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
1355
252.1 IPS |
|
Image Classification (HP)
|
100% |
327
60.9 IPS |
|
Image Classification (Q)
|
96% |
1508
281.7 IPS |
|
Image Segmentation (SP)
|
100% |
610
9.89 IPS |
|
Image Segmentation (HP)
|
100% |
391
6.34 IPS |
|
Image Segmentation (Q)
|
97% |
1091
17.7 IPS |
|
Pose Estimation (SP)
|
100% |
3145
3.67 IPS |
|
Pose Estimation (HP)
|
100% |
2535
2.96 IPS |
|
Pose Estimation (Q)
|
86% |
3113
3.68 IPS |
|
Object Detection (SP)
|
100% |
1492
118.3 IPS |
|
Object Detection (HP)
|
100% |
416
33.0 IPS |
|
Object Detection (Q)
|
58% |
958
104.6 IPS |
|
Face Detection (SP)
|
100% |
2878
34.2 IPS |
|
Face Detection (HP)
|
100% |
912
10.8 IPS |
|
Face Detection (Q)
|
96% |
3512
41.9 IPS |
|
Depth Estimation (SP)
|
100% |
4349
33.5 IPS |
|
Depth Estimation (HP)
|
99% |
1368
10.5 IPS |
|
Depth Estimation (Q)
|
78% |
3666
29.3 IPS |
|
Style Transfer (SP)
|
100% |
8018
10.3 IPS |
|
Style Transfer (HP)
|
100% |
6963
8.95 IPS |
|
Style Transfer (Q)
|
87% |
7109
9.25 IPS |
|
Image Super-Resolution (SP)
|
100% |
1220
45.0 IPS |
|
Image Super-Resolution (HP)
|
100% |
1120
41.4 IPS |
|
Image Super-Resolution (Q)
|
97% |
1188
44.0 IPS |
|
Text Classification (SP)
|
100% |
858
1.14 KIPS |
|
Text Classification (HP)
|
100% |
403
537.6 IPS |
|
Text Classification (Q)
|
97% |
304
407.6 IPS |
|
Machine Translation (SP)
|
100% |
1206
20.8 IPS |
|
Machine Translation (HP)
|
100% |
459
7.90 IPS |
|
Machine Translation (Q)
|
68% |
1156
22.3 IPS |