| User | Destructico |
| Upload Date | August 15 2024 07:33 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7800X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D73 |
| Motherboard | Micro-Star International Co., Ltd. MPG B650I EDGE WIFI (MS-7D73) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1842
342.5 IPS |
|
|
Image Classification (HP)
|
100% |
159
29.5 IPS |
|
|
Image Classification (Q)
|
99% |
5149
960.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1959
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
264
4.28 IPS |
|
|
Image Segmentation (Q)
|
98% |
2434
39.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4689
5.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
3949
4.61 IPS |
|
|
Pose Estimation (Q)
|
95% |
23387
27.4 IPS |
|
|
Object Detection (SP)
|
100% |
2082
165.2 IPS |
|
|
Object Detection (HP)
|
100% |
219
17.4 IPS |
|
|
Object Detection (Q)
|
88% |
2237
179.3 IPS |
|
|
Face Detection (SP)
|
100% |
4850
57.6 IPS |
|
|
Face Detection (HP)
|
100% |
335
3.98 IPS |
|
|
Face Detection (Q)
|
97% |
6610
78.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5869
45.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1033
7.96 IPS |
|
|
Depth Estimation (Q)
|
76% |
12690
102.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12668
16.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10265
13.2 IPS |
|
|
Style Transfer (Q)
|
98% |
28348
36.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2256
83.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1934
71.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4370
161.8 IPS |
|
|
Text Classification (SP)
|
100% |
1785
2.38 KIPS |
|
|
Text Classification (HP)
|
100% |
758
1.01 KIPS |
|
|
Text Classification (Q)
|
97% |
456
610.2 IPS |
|
|
Machine Translation (SP)
|
100% |
2774
47.8 IPS |
|
|
Machine Translation (HP)
|
100% |
728
12.5 IPS |
|
|
Machine Translation (Q)
|
60% |
2995
66.8 IPS |