LattePanda LattePanda 3 Delta
Geekbench AI Score
274
Single Precision Score
163
Half Precision Score
404
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| Upload Date | January 07 2025 10:18 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Celeron N5105 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LattePanda LattePanda 3 Delta |
| Motherboard | LattePanda LattePanda 3 Delta |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Celeron N5105 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 156 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
210
39.0 IPS |
|
|
Image Classification (HP)
|
100% |
90
16.8 IPS |
|
|
Image Classification (Q)
|
96% |
342
63.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
172
2.78 IPS |
|
|
Image Segmentation (HP)
|
100% |
119
1.94 IPS |
|
|
Image Segmentation (Q)
|
97% |
309
5.02 IPS |
|
|
Pose Estimation (SP)
|
100% |
340
0.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
237
0.28 IPS |
|
|
Pose Estimation (Q)
|
86% |
640
0.76 IPS |
|
|
Object Detection (SP)
|
100% |
162
12.8 IPS |
|
|
Object Detection (HP)
|
100% |
83
6.56 IPS |
|
|
Object Detection (Q)
|
58% |
215
23.5 IPS |
|
|
Face Detection (SP)
|
100% |
476
5.65 IPS |
|
|
Face Detection (HP)
|
100% |
227
2.70 IPS |
|
|
Face Detection (Q)
|
96% |
696
8.30 IPS |
|
|
Depth Estimation (SP)
|
100% |
450
3.47 IPS |
|
|
Depth Estimation (HP)
|
99% |
244
1.88 IPS |
|
|
Depth Estimation (Q)
|
78% |
714
5.69 IPS |
|
|
Style Transfer (SP)
|
100% |
747
0.96 IPS |
|
|
Style Transfer (HP)
|
100% |
670
0.86 IPS |
|
|
Style Transfer (Q)
|
87% |
1252
1.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
172
6.36 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
127
4.71 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
306
11.3 IPS |
|
|
Text Classification (SP)
|
100% |
158
210.4 IPS |
|
|
Text Classification (HP)
|
100% |
114
152.6 IPS |
|
|
Text Classification (Q)
|
97% |
140
187.5 IPS |
|
|
Machine Translation (SP)
|
100% |
276
4.75 IPS |
|
|
Machine Translation (HP)
|
100% |
117
2.01 IPS |
|
|
Machine Translation (Q)
|
68% |
299
5.77 IPS |
