| User | JanOlsan |
| Upload Date | August 16 2024 12:36 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E26 |
| Motherboard | Micro-Star International Co., Ltd. B650 GAMING PLUS WIFI (MS-7E26) |
| Power Plan | Vysok vkon |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2032
378.0 IPS |
|
|
Image Classification (HP)
|
100% |
182
33.8 IPS |
|
|
Image Classification (Q)
|
99% |
4966
926.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2063
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
289
4.69 IPS |
|
|
Image Segmentation (Q)
|
98% |
3550
57.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
16465
19.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
10927
12.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
46423
54.4 IPS |
|
|
Object Detection (SP)
|
100% |
2787
221.0 IPS |
|
|
Object Detection (HP)
|
100% |
255
20.2 IPS |
|
|
Object Detection (Q)
|
88% |
2446
196.1 IPS |
|
|
Face Detection (SP)
|
100% |
3829
45.5 IPS |
|
|
Face Detection (HP)
|
100% |
371
4.41 IPS |
|
|
Face Detection (Q)
|
97% |
5635
67.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
10630
81.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1294
9.97 IPS |
|
|
Depth Estimation (Q)
|
76% |
12909
104.0 IPS |
|
|
Style Transfer (SP)
|
100% |
31105
40.0 IPS |
|
|
Style Transfer (HP)
|
100% |
26819
34.5 IPS |
|
|
Style Transfer (Q)
|
98% |
38827
50.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3037
112.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2649
97.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4237
156.9 IPS |
|
|
Text Classification (SP)
|
100% |
1657
2.21 KIPS |
|
|
Text Classification (HP)
|
100% |
744
992.7 IPS |
|
|
Text Classification (Q)
|
97% |
443
593.8 IPS |
|
|
Machine Translation (SP)
|
100% |
3301
56.9 IPS |
|
|
Machine Translation (HP)
|
100% |
743
12.8 IPS |
|
|
Machine Translation (Q)
|
60% |
3246
72.4 IPS |