LattePanda LattePanda 3 Delta
Geekbench AI Score
289
Single Precision Score
170
Half Precision Score
434
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | AndyMcSchopf |
| Upload Date | January 07 2025 10:00 AM |
| Views | 18 |
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% |
202
37.6 IPS |
|
|
Image Classification (HP)
|
100% |
89
16.6 IPS |
|
|
Image Classification (Q)
|
96% |
364
67.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
175
2.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
123
1.99 IPS |
|
|
Image Segmentation (Q)
|
97% |
323
5.25 IPS |
|
|
Pose Estimation (SP)
|
100% |
347
0.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
248
0.29 IPS |
|
|
Pose Estimation (Q)
|
86% |
675
0.80 IPS |
|
|
Object Detection (SP)
|
100% |
177
14.0 IPS |
|
|
Object Detection (HP)
|
100% |
90
7.12 IPS |
|
|
Object Detection (Q)
|
58% |
229
25.0 IPS |
|
|
Face Detection (SP)
|
100% |
516
6.13 IPS |
|
|
Face Detection (HP)
|
100% |
230
2.73 IPS |
|
|
Face Detection (Q)
|
96% |
706
8.42 IPS |
|
|
Depth Estimation (SP)
|
100% |
459
3.54 IPS |
|
|
Depth Estimation (HP)
|
99% |
246
1.90 IPS |
|
|
Depth Estimation (Q)
|
78% |
720
5.73 IPS |
|
|
Style Transfer (SP)
|
100% |
752
0.97 IPS |
|
|
Style Transfer (HP)
|
100% |
680
0.87 IPS |
|
|
Style Transfer (Q)
|
87% |
1363
1.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
188
6.94 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
140
5.16 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
334
12.4 IPS |
|
|
Text Classification (SP)
|
100% |
188
250.4 IPS |
|
|
Text Classification (HP)
|
100% |
121
161.8 IPS |
|
|
Text Classification (Q)
|
97% |
158
211.5 IPS |
|
|
Machine Translation (SP)
|
100% |
304
5.23 IPS |
|
|
Machine Translation (HP)
|
100% |
130
2.25 IPS |
|
|
Machine Translation (Q)
|
68% |
362
6.99 IPS |
