User | DanBal76 |
Upload Date | August 17 2024 06:42 AM |
Views | 12 |
AI Information | |
---|---|
Framework | ONNX |
Backend | CPU |
Device | Intel Xeon E5-2695 v4 |
System Information | |
---|---|
Operating System | Microsoft Windows 10 Home (64-bit) |
Model | MACHINIST |
Motherboard | MACHINIST X99-MR9A PRO MAX |
Power Plan | Equilibrado |
CPU Information | |
---|---|
Name | Intel Xeon E5-2695 v4 |
Topology | 1 Processor, 18 Cores, 36 Threads |
Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
Base Frequency | 2.10 GHz |
Cluster 1 | 18 Cores |
Memory Information | |
---|---|
Size | 64.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
1403
260.9 IPS |
|
Image Classification (HP)
|
100% |
77
14.3 IPS |
|
Image Classification (Q)
|
97% |
1594
297.4 IPS |
|
Image Segmentation (SP)
|
100% |
1262
20.5 IPS |
|
Image Segmentation (HP)
|
100% |
137
2.21 IPS |
|
Image Segmentation (Q)
|
97% |
1336
21.7 IPS |
|
Pose Estimation (SP)
|
100% |
8188
9.55 IPS |
|
Pose Estimation (HP)
|
100% |
5106
5.96 IPS |
|
Pose Estimation (Q)
|
87% |
8351
9.86 IPS |
|
Object Detection (SP)
|
100% |
1743
138.3 IPS |
|
Object Detection (HP)
|
100% |
113
8.97 IPS |
|
Object Detection (Q)
|
86% |
1046
84.1 IPS |
|
Face Detection (SP)
|
100% |
2831
33.6 IPS |
|
Face Detection (HP)
|
100% |
173
2.05 IPS |
|
Face Detection (Q)
|
96% |
2295
27.4 IPS |
|
Depth Estimation (SP)
|
100% |
6672
51.4 IPS |
|
Depth Estimation (HP)
|
99% |
526
4.06 IPS |
|
Depth Estimation (Q)
|
76% |
4471
36.0 IPS |
|
Style Transfer (SP)
|
100% |
16150
20.8 IPS |
|
Style Transfer (HP)
|
100% |
11557
14.9 IPS |
|
Style Transfer (Q)
|
87% |
11096
14.4 IPS |
|
Image Super-Resolution (SP)
|
100% |
2024
74.7 IPS |
|
Image Super-Resolution (HP)
|
100% |
1542
56.9 IPS |
|
Image Super-Resolution (Q)
|
97% |
1659
61.5 IPS |
|
Text Classification (SP)
|
100% |
821
1.10 KIPS |
|
Text Classification (HP)
|
100% |
320
427.6 IPS |
|
Text Classification (Q)
|
97% |
258
345.6 IPS |
|
Machine Translation (SP)
|
100% |
1190
20.5 IPS |
|
Machine Translation (HP)
|
100% |
295
5.09 IPS |
|
Machine Translation (Q)
|
60% |
1035
23.1 IPS |