LattePanda LattePanda 3 Delta
Geekbench AI Score
265
Single Precision Score
267
Half Precision Score
548
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | AndyMcSchopf |
| Upload Date | January 07 2025 10:35 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Celeron(R) N5105 @ 2.00GHz |
| 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% |
165
30.7 IPS |
|
|
Image Classification (HP)
|
100% |
169
31.4 IPS |
|
|
Image Classification (Q)
|
100% |
375
69.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
218
3.53 IPS |
|
|
Image Segmentation (HP)
|
100% |
218
3.53 IPS |
|
|
Image Segmentation (Q)
|
99% |
428
6.95 IPS |
|
|
Pose Estimation (SP)
|
100% |
297
0.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
308
0.36 IPS |
|
|
Pose Estimation (Q)
|
94% |
785
0.92 IPS |
|
|
Object Detection (SP)
|
100% |
162
12.9 IPS |
|
|
Object Detection (HP)
|
100% |
163
13.0 IPS |
|
|
Object Detection (Q)
|
87% |
373
29.9 IPS |
|
|
Face Detection (SP)
|
100% |
544
6.46 IPS |
|
|
Face Detection (HP)
|
100% |
551
6.55 IPS |
|
|
Face Detection (Q)
|
97% |
1074
12.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
424
3.26 IPS |
|
|
Depth Estimation (HP)
|
99% |
429
3.30 IPS |
|
|
Depth Estimation (Q)
|
81% |
945
7.46 IPS |
|
|
Style Transfer (SP)
|
100% |
655
0.84 IPS |
|
|
Style Transfer (HP)
|
100% |
604
0.78 IPS |
|
|
Style Transfer (Q)
|
98% |
2227
2.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
177
6.53 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
179
6.60 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
454
16.8 IPS |
|
|
Text Classification (SP)
|
100% |
172
229.1 IPS |
|
|
Text Classification (HP)
|
100% |
185
247.1 IPS |
|
|
Text Classification (Q)
|
91% |
235
315.5 IPS |
|
|
Machine Translation (SP)
|
100% |
220
3.80 IPS |
|
|
Machine Translation (HP)
|
100% |
218
3.76 IPS |
|
|
Machine Translation (Q)
|
100% |
216
3.71 IPS |
