LincPlus LincStation N1
Geekbench AI Score
235
Single Precision Score
117
Half Precision Score
277
Quantized Score
Geekbench AI 1.2.0 for Linux x86 (64-bit)
Result Information
| User | AndyMcSchopf |
| Upload Date | January 07 2025 10:01 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Celeron N5105 |
| System Information | |
|---|---|
| Operating System | Slackware 15.0 x86_64 (post 15.0 -current) |
| Model | LincPlus LincStation N1 |
| Motherboard | Techvision TVI8310X |
| CPU Information | |
|---|---|
| Name | Intel Celeron N5105 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 156 Stepping 0 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
75
14.0 IPS |
|
|
Image Classification (HP)
|
100% |
42
7.87 IPS |
|
|
Image Classification (Q)
|
97% |
144
26.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
177
2.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
67
1.09 IPS |
|
|
Image Segmentation (Q)
|
99% |
256
4.16 IPS |
|
|
Pose Estimation (SP)
|
100% |
277
0.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
207
0.24 IPS |
|
|
Pose Estimation (Q)
|
94% |
335
0.39 IPS |
|
|
Object Detection (SP)
|
100% |
153
12.1 IPS |
|
|
Object Detection (HP)
|
100% |
50
3.96 IPS |
|
|
Object Detection (Q)
|
86% |
151
12.1 IPS |
|
|
Face Detection (SP)
|
100% |
382
4.53 IPS |
|
|
Face Detection (HP)
|
100% |
94
1.12 IPS |
|
|
Face Detection (Q)
|
97% |
572
6.82 IPS |
|
|
Depth Estimation (SP)
|
100% |
365
2.81 IPS |
|
|
Depth Estimation (HP)
|
99% |
169
1.30 IPS |
|
|
Depth Estimation (Q)
|
78% |
366
2.92 IPS |
|
|
Style Transfer (SP)
|
100% |
687
0.88 IPS |
|
|
Style Transfer (HP)
|
100% |
588
0.76 IPS |
|
|
Style Transfer (Q)
|
98% |
800
1.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
173
6.37 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
124
4.59 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
204
7.56 IPS |
|
|
Text Classification (SP)
|
100% |
201
267.9 IPS |
|
|
Text Classification (HP)
|
100% |
128
171.2 IPS |
|
|
Text Classification (Q)
|
97% |
259
347.5 IPS |
|
|
Machine Translation (SP)
|
100% |
280
4.83 IPS |
|
|
Machine Translation (HP)
|
100% |
119
2.04 IPS |
|
|
Machine Translation (Q)
|
65% |
166
3.33 IPS |
