User | blademan |
Upload Date | July 27 2025 07:42 PM |
Views | 5 |
Notes | 30BFS0NH0S |
AI Information | |
---|---|
Framework | ONNX |
Backend | CPU |
Device | Intel Xeon W-2155 |
System Information | |
---|---|
Operating System | Microsoft Windows 10 Pro (64-bit) |
Model | LENOVO 30BFS0NH0S |
Motherboard | LENOVO 1036 |
Power Plan | Balanced |
CPU Information | |
---|---|
Name | Intel Xeon W-2155 |
Topology | 1 Processor, 10 Cores, 20 Threads |
Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
Base Frequency | 3.31 GHz |
Cluster 1 | 10 Cores |
Memory Information | |
---|---|
Size | 128.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
3422
636.3 IPS |
|
Image Classification (HP)
|
100% |
358
66.5 IPS |
|
Image Classification (Q)
|
96% |
4138
772.7 IPS |
|
Image Segmentation (SP)
|
100% |
1153
18.7 IPS |
|
Image Segmentation (HP)
|
100% |
611
9.91 IPS |
|
Image Segmentation (Q)
|
97% |
3715
60.4 IPS |
|
Pose Estimation (SP)
|
100% |
7970
9.30 IPS |
|
Pose Estimation (HP)
|
100% |
5581
6.51 IPS |
|
Pose Estimation (Q)
|
86% |
13904
16.4 IPS |
|
Object Detection (SP)
|
100% |
2182
173.1 IPS |
|
Object Detection (HP)
|
100% |
497
39.4 IPS |
|
Object Detection (Q)
|
58% |
2834
309.6 IPS |
|
Face Detection (SP)
|
100% |
7029
83.5 IPS |
|
Face Detection (HP)
|
100% |
1086
12.9 IPS |
|
Face Detection (Q)
|
96% |
7141
85.2 IPS |
|
Depth Estimation (SP)
|
100% |
10782
83.1 IPS |
|
Depth Estimation (HP)
|
99% |
1582
12.2 IPS |
|
Depth Estimation (Q)
|
78% |
9731
77.6 IPS |
|
Style Transfer (SP)
|
100% |
22206
28.5 IPS |
|
Style Transfer (HP)
|
100% |
14809
19.0 IPS |
|
Style Transfer (Q)
|
87% |
18028
23.5 IPS |
|
Image Super-Resolution (SP)
|
100% |
3089
114.1 IPS |
|
Image Super-Resolution (HP)
|
100% |
2348
86.7 IPS |
|
Image Super-Resolution (Q)
|
97% |
3738
138.5 IPS |
|
Text Classification (SP)
|
100% |
1200
1.60 KIPS |
|
Text Classification (HP)
|
100% |
591
789.1 IPS |
|
Text Classification (Q)
|
97% |
330
441.8 IPS |
|
Machine Translation (SP)
|
100% |
1578
27.2 IPS |
|
Machine Translation (HP)
|
100% |
523
9.01 IPS |
|
Machine Translation (Q)
|
68% |
1672
32.3 IPS |