LattePanda LattePanda 3 Delta
Geekbench AI Score
582
Single Precision Score
684
Half Precision Score
449
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | AndyMcSchopf |
| Upload Date | January 07 2025 08:33 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| 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% |
278
51.6 IPS |
|
|
Image Classification (HP)
|
100% |
298
55.3 IPS |
|
|
Image Classification (Q)
|
100% |
258
48.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
341
5.53 IPS |
|
|
Image Segmentation (HP)
|
100% |
400
6.49 IPS |
|
|
Image Segmentation (Q)
|
98% |
298
4.85 IPS |
|
|
Pose Estimation (SP)
|
100% |
1341
1.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
2506
2.92 IPS |
|
|
Pose Estimation (Q)
|
95% |
1140
1.34 IPS |
|
|
Object Detection (SP)
|
100% |
319
25.3 IPS |
|
|
Object Detection (HP)
|
98% |
302
24.0 IPS |
|
|
Object Detection (Q)
|
86% |
284
22.9 IPS |
|
|
Face Detection (SP)
|
100% |
579
6.88 IPS |
|
|
Face Detection (HP)
|
100% |
669
7.94 IPS |
|
|
Face Detection (Q)
|
97% |
461
5.50 IPS |
|
|
Depth Estimation (SP)
|
100% |
1111
8.56 IPS |
|
|
Depth Estimation (HP)
|
98% |
1381
10.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
907
7.26 IPS |
|
|
Style Transfer (SP)
|
100% |
4096
5.27 IPS |
|
|
Style Transfer (HP)
|
100% |
5875
7.55 IPS |
|
|
Style Transfer (Q)
|
98% |
3193
4.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
674
24.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1090
40.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
427
15.8 IPS |
|
|
Text Classification (SP)
|
100% |
241
322.3 IPS |
|
|
Text Classification (HP)
|
100% |
149
198.7 IPS |
|
|
Text Classification (Q)
|
97% |
157
210.4 IPS |
|
|
Machine Translation (SP)
|
100% |
260
4.48 IPS |
|
|
Machine Translation (HP)
|
100% |
284
4.88 IPS |
|
|
Machine Translation (Q)
|
70% |
152
2.86 IPS |
