| User | thisisganesh |
| Upload Date | August 20 2024 12:51 PM |
| Views | 14 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E27 |
| Motherboard | Micro-Star International Co., Ltd. PRO B650M-P (MS-7E27) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1829
340.2 IPS |
|
|
Image Classification (HP)
|
100% |
175
32.6 IPS |
|
|
Image Classification (Q)
|
99% |
5351
998.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1765
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
287
4.65 IPS |
|
|
Image Segmentation (Q)
|
98% |
2514
40.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4770
5.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
4441
5.18 IPS |
|
|
Pose Estimation (Q)
|
95% |
19624
23.0 IPS |
|
|
Object Detection (SP)
|
100% |
1738
137.8 IPS |
|
|
Object Detection (HP)
|
100% |
246
19.5 IPS |
|
|
Object Detection (Q)
|
88% |
2741
219.8 IPS |
|
|
Face Detection (SP)
|
100% |
2606
31.0 IPS |
|
|
Face Detection (HP)
|
100% |
344
4.09 IPS |
|
|
Face Detection (Q)
|
97% |
4343
51.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5883
45.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1098
8.46 IPS |
|
|
Depth Estimation (Q)
|
76% |
8235
66.3 IPS |
|
|
Style Transfer (SP)
|
100% |
12982
16.7 IPS |
|
|
Style Transfer (HP)
|
100% |
10598
13.6 IPS |
|
|
Style Transfer (Q)
|
98% |
17849
23.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2346
86.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2030
75.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4035
149.4 IPS |
|
|
Text Classification (SP)
|
100% |
2109
2.81 KIPS |
|
|
Text Classification (HP)
|
100% |
878
1.17 KIPS |
|
|
Text Classification (Q)
|
97% |
517
692.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2468
42.5 IPS |
|
|
Machine Translation (HP)
|
100% |
730
12.6 IPS |
|
|
Machine Translation (Q)
|
60% |
3083
68.8 IPS |