| User | abhimanbhau |
| Upload Date | August 31 2024 02:03 AM |
| Views | 13 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X670 AORUS ELITE AX |
| Motherboard | Gigabyte Technology Co., Ltd. X670 AORUS ELITE AX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1822
338.8 IPS |
|
|
Image Classification (HP)
|
100% |
166
30.8 IPS |
|
|
Image Classification (Q)
|
99% |
4202
783.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2385
38.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
268
4.35 IPS |
|
|
Image Segmentation (Q)
|
98% |
3283
53.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11259
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
7977
9.31 IPS |
|
|
Pose Estimation (Q)
|
95% |
42623
50.0 IPS |
|
|
Object Detection (SP)
|
100% |
2389
189.5 IPS |
|
|
Object Detection (HP)
|
100% |
235
18.6 IPS |
|
|
Object Detection (Q)
|
88% |
2043
163.8 IPS |
|
|
Face Detection (SP)
|
100% |
3804
45.2 IPS |
|
|
Face Detection (HP)
|
100% |
355
4.21 IPS |
|
|
Face Detection (Q)
|
97% |
5742
68.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10185
78.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1144
8.81 IPS |
|
|
Depth Estimation (Q)
|
76% |
13960
112.5 IPS |
|
|
Style Transfer (SP)
|
100% |
26195
33.7 IPS |
|
|
Style Transfer (HP)
|
100% |
20353
26.2 IPS |
|
|
Style Transfer (Q)
|
98% |
40904
52.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2611
96.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2177
80.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4060
150.3 IPS |
|
|
Text Classification (SP)
|
100% |
1564
2.09 KIPS |
|
|
Text Classification (HP)
|
100% |
687
917.0 IPS |
|
|
Text Classification (Q)
|
97% |
422
564.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2787
48.0 IPS |
|
|
Machine Translation (HP)
|
100% |
688
11.8 IPS |
|
|
Machine Translation (Q)
|
60% |
2767
61.7 IPS |