| User | ACSOUV |
| Upload Date | September 26 2024 05:31 PM |
| Views | 16 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Xeon(R) Platinum 8375C CPU @ 2.90GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Supermicro Super Server |
| Motherboard | Supermicro X12SPA-TF |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Xeon(R) Platinum 8375C CPU @ 2.90GHz |
| Topology | 1 Processor, 32 Cores, 64 Threads |
| Identifier | GenuineIntel Family 6 Model 106 Stepping 6 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 32 Cores |
| Memory Information | |
|---|---|
| Size | 512.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1984
368.9 IPS |
|
|
Image Classification (HP)
|
100% |
389
72.4 IPS |
|
|
Image Classification (Q)
|
99% |
2941
548.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1802
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
791
12.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2873
46.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
27244
31.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
9855
11.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
57682
67.6 IPS |
|
|
Object Detection (SP)
|
100% |
2738
217.2 IPS |
|
|
Object Detection (HP)
|
100% |
499
39.6 IPS |
|
|
Object Detection (Q)
|
88% |
1784
143.0 IPS |
|
|
Face Detection (SP)
|
100% |
4620
54.9 IPS |
|
|
Face Detection (HP)
|
100% |
1358
16.1 IPS |
|
|
Face Detection (Q)
|
97% |
3967
47.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
12619
97.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1879
14.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
8440
67.6 IPS |
|
|
Style Transfer (SP)
|
100% |
38851
49.9 IPS |
|
|
Style Transfer (HP)
|
100% |
20737
26.7 IPS |
|
|
Style Transfer (Q)
|
98% |
26672
34.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4096
151.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2843
105.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3683
136.4 IPS |
|
|
Text Classification (SP)
|
100% |
1253
1.67 KIPS |
|
|
Text Classification (HP)
|
100% |
480
641.3 IPS |
|
|
Text Classification (Q)
|
97% |
358
479.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1581
27.2 IPS |
|
|
Machine Translation (HP)
|
100% |
482
8.30 IPS |
|
|
Machine Translation (Q)
|
60% |
1608
35.9 IPS |