Upload Date | December 21 2024 01:59 AM |
Views | 3 |
AI Information | |
---|---|
Framework | ONNX |
Backend | CPU |
Device | Intel Xeon E5-2470 v2 |
System Information | |
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Operating System | Microsoft Windows Server 2022 Standard Evaluation (64-bit) |
Model | Intel Corporation S2400SC |
Motherboard | Intel Corporation S2400SC |
Power Plan | High performance |
CPU Information | |
---|---|
Name | Intel Xeon E5-2470 v2 |
Topology | 2 Processors, 20 Cores, 40 Threads |
Identifier | GenuineIntel Family 6 Model 62 Stepping 4 |
Base Frequency | 2.40 GHz |
Cluster 1 | 20 Cores |
Memory Information | |
---|---|
Size | 32.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
961
178.8 IPS |
|
Image Classification (HP)
|
100% |
144
26.8 IPS |
|
Image Classification (Q)
|
96% |
1330
248.4 IPS |
|
Image Segmentation (SP)
|
100% |
552
8.95 IPS |
|
Image Segmentation (HP)
|
100% |
260
4.22 IPS |
|
Image Segmentation (Q)
|
97% |
736
12.0 IPS |
|
Pose Estimation (SP)
|
100% |
2386
2.78 IPS |
|
Pose Estimation (HP)
|
100% |
1998
2.33 IPS |
|
Pose Estimation (Q)
|
86% |
3415
4.04 IPS |
|
Object Detection (SP)
|
100% |
919
72.9 IPS |
|
Object Detection (HP)
|
100% |
198
15.7 IPS |
|
Object Detection (Q)
|
58% |
1044
114.1 IPS |
|
Face Detection (SP)
|
100% |
2704
32.1 IPS |
|
Face Detection (HP)
|
100% |
509
6.05 IPS |
|
Face Detection (Q)
|
96% |
2522
30.1 IPS |
|
Depth Estimation (SP)
|
100% |
2896
22.3 IPS |
|
Depth Estimation (HP)
|
99% |
787
6.06 IPS |
|
Depth Estimation (Q)
|
78% |
2725
21.7 IPS |
|
Style Transfer (SP)
|
100% |
5687
7.31 IPS |
|
Style Transfer (HP)
|
100% |
5303
6.82 IPS |
|
Style Transfer (Q)
|
87% |
5021
6.53 IPS |
|
Image Super-Resolution (SP)
|
100% |
848
31.3 IPS |
|
Image Super-Resolution (HP)
|
100% |
946
34.9 IPS |
|
Image Super-Resolution (Q)
|
97% |
850
31.5 IPS |
|
Text Classification (SP)
|
100% |
414
553.2 IPS |
|
Text Classification (HP)
|
100% |
164
219.5 IPS |
|
Text Classification (Q)
|
97% |
219
293.9 IPS |
|
Machine Translation (SP)
|
100% |
513
8.84 IPS |
|
Machine Translation (HP)
|
100% |
200
3.45 IPS |
|
Machine Translation (Q)
|
68% |
672
13.0 IPS |