LattePanda LattePanda 3 Delta
Geekbench AI Score
861
Single Precision Score
1220
Half Precision Score
1199
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | AndyMcSchopf |
| Upload Date | January 07 2025 09:09 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) HD Graphics Gen11 (iGPU) |
| 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% |
547
101.8 IPS |
|
|
Image Classification (HP)
|
100% |
821
152.6 IPS |
|
|
Image Classification (Q)
|
100% |
731
136.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
724
11.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1225
19.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1164
18.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1720
2.01 IPS |
|
|
Pose Estimation (HP)
|
99% |
1389
1.62 IPS |
|
|
Pose Estimation (Q)
|
96% |
2604
3.05 IPS |
|
|
Object Detection (SP)
|
100% |
534
42.4 IPS |
|
|
Object Detection (HP)
|
99% |
843
67.0 IPS |
|
|
Object Detection (Q)
|
88% |
786
63.1 IPS |
|
|
Face Detection (SP)
|
100% |
1546
18.4 IPS |
|
|
Face Detection (HP)
|
100% |
2520
29.9 IPS |
|
|
Face Detection (Q)
|
97% |
2324
27.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1837
14.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
3055
23.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
2719
21.1 IPS |
|
|
Style Transfer (SP)
|
100% |
4434
5.70 IPS |
|
|
Style Transfer (HP)
|
100% |
6342
8.15 IPS |
|
|
Style Transfer (Q)
|
98% |
5883
7.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
773
28.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1264
46.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1183
43.8 IPS |
|
|
Text Classification (SP)
|
71% |
209
302.5 IPS |
|
|
Text Classification (HP)
|
71% |
260
376.4 IPS |
|
|
Text Classification (Q)
|
92% |
209
280.8 IPS |
|
|
Machine Translation (SP)
|
100% |
304
5.24 IPS |
|
|
Machine Translation (HP)
|
97% |
388
6.70 IPS |
|
|
Machine Translation (Q)
|
98% |
386
6.67 IPS |
