Samsung Galaxy Note10+ vs FPT Elead F22FAH
| Samsung Galaxy Note10+ | FPT Elead F22FAH | Difference | |
|---|---|---|---|
| Single Precision | 305 | 1356 | 22.5% |
| Samsung Galaxy Note10+ | |||
| FPT Elead F22FAH | |||
| Half Precision | 303 | 2001 | 15.1% |
| Samsung Galaxy Note10+ | |||
| FPT Elead F22FAH | |||
| Quantized | 586 | 1875 | 31.3% |
| Samsung Galaxy Note10+ | |||
| FPT Elead F22FAH | |||
| Geekbench AI 1.2.0 | Geekbench AI 1.2.0 | ||
System Information
| Samsung Galaxy Note10+ | FPT Elead F22FAH | |
|---|---|---|
| AI Framework | TensorFlow Lite | OpenVINO |
| AI Backend | CPU | GPU |
| AI Device | Qualcomm Snapdragon 855 | Intel(R) UHD Graphics 630 (iGPU) |
| Operating System | Android 12 | Microsoft Windows 10 Pro (64-bit) |
| Model | Samsung Galaxy Note10+ | Generic |
| Processor |
Qualcomm Qualcomm @ 1.78 GHz
1 Processor, 8 Cores |
Intel Core i5-10400 @ 2.90 GHz
1 Processor, 6 Cores, 12 Threads |
| Processor ID | ARM implementer 81 architecture 8 variant 13 part 2052 revision 14 | GenuineIntel Family 6 Model 165 Stepping 3 |
| Processor Codename | ||
| Processor Package | ||
| Motherboard | msmnile | ASRock H470M-HDV/M.2 |
| Northbridge | ||
| Southbridge | ||
| BIOS | American Megatrends Inc. P1.40 | |
| Memory | 11.17 GB | 16.00 GB |
AI Performance
| Samsung Galaxy Note10+ | FPT Elead F22FAH | Difference | |
|---|---|---|---|
| Image Classification (SP) | 150 | 843 | 17.8% |
| Samsung Galaxy Note10+ | |||
| FPT Elead F22FAH | |||
| Image Classification (HP) | 162 | 1333 | 12.2% |
| Samsung Galaxy Note10+ | |||
| FPT Elead F22FAH | |||
| Image Classification (Q) | 429 | 1216 | 35.3% |
| Samsung Galaxy Note10+ | |||
| FPT Elead F22FAH | |||
| Image Segmentation (SP) | 173 | 1125 | 15.4% |
| Samsung Galaxy Note10+ | |||
| FPT Elead F22FAH | |||
| Image Segmentation (HP) | 174 | 1776 | 9.8% |
| Samsung Galaxy Note10+ | |||
| FPT Elead F22FAH | |||
| Image Segmentation (Q) | 508 | 1641 | 31.0% |
| Samsung Galaxy Note10+ | |||
| FPT Elead F22FAH | |||
| Pose Estimation (SP) | 644 | 1936 | 33.3% |
| Samsung Galaxy Note10+ | |||
| FPT Elead F22FAH | |||
| Pose Estimation (HP) | 645 | 2065 | 31.2% |
| Samsung Galaxy Note10+ | |||
| FPT Elead F22FAH | |||
| Pose Estimation (Q) | 1039 | 2766 | 37.6% |
| Samsung Galaxy Note10+ | |||
| FPT Elead F22FAH | |||
| Object Detection (SP) | 166 | 800 | 20.8% |
| Samsung Galaxy Note10+ | |||
| FPT Elead F22FAH | |||
| Object Detection (HP) | 156 | 1292 | 12.1% |
| Samsung Galaxy Note10+ | |||
| FPT Elead F22FAH | |||
| Object Detection (Q) | 442 | 1208 | 36.6% |
| Samsung Galaxy Note10+ | |||
| FPT Elead F22FAH | |||
| Face Detection (SP) | 378 | 2497 | 15.1% |
| Samsung Galaxy Note10+ | |||
| FPT Elead F22FAH | |||
| Face Detection (HP) | 379 | 4172 | 9.1% |
| Samsung Galaxy Note10+ | |||
| FPT Elead F22FAH | |||
| Face Detection (Q) | 861 | 3606 | 23.9% |
| Samsung Galaxy Note10+ | |||
| FPT Elead F22FAH | |||
| Depth Estimation (SP) | 538 | 2478 | 21.7% |
| Samsung Galaxy Note10+ | |||
| FPT Elead F22FAH | |||
| Depth Estimation (HP) | 518 | 4177 | 12.4% |
| Samsung Galaxy Note10+ | |||
| FPT Elead F22FAH | |||
| Depth Estimation (Q) | 962 | 3777 | 25.5% |
| Samsung Galaxy Note10+ | |||
| FPT Elead F22FAH | |||
| Style Transfer (SP) | 1101 | 5472 | 20.1% |
| Samsung Galaxy Note10+ | |||
| FPT Elead F22FAH | |||
| Style Transfer (HP) | 1095 | 7595 | 14.4% |
| Samsung Galaxy Note10+ | |||
| FPT Elead F22FAH | |||
| Style Transfer (Q) | 2528 | 6816 | 37.1% |
| Samsung Galaxy Note10+ | |||
| FPT Elead F22FAH | |||
| Image Super-Resolution (SP) | 314 | 1000 | 31.4% |
| Samsung Galaxy Note10+ | |||
| FPT Elead F22FAH | |||
| Image Super-Resolution (HP) | 309 | 1788 | 17.3% |
| Samsung Galaxy Note10+ | |||
| FPT Elead F22FAH | |||
| Image Super-Resolution (Q) | 598 | 1711 | 35.0% |
| Samsung Galaxy Note10+ | |||
| FPT Elead F22FAH | |||
| Text Classification (SP) | 143 | 610 | 23.4% |
| Samsung Galaxy Note10+ | |||
| FPT Elead F22FAH | |||
| Text Classification (HP) | 140 | 713 | 19.6% |
| Samsung Galaxy Note10+ | |||
| FPT Elead F22FAH | |||
| Text Classification (Q) | 244 | 526 | 46.4% |
| Samsung Galaxy Note10+ | |||
| FPT Elead F22FAH | |||
| Machine Translation (SP) | 254 | 693 | 36.7% |
| Samsung Galaxy Note10+ | |||
| FPT Elead F22FAH | |||
| Machine Translation (HP) | 250 | 970 | 25.8% |
| Samsung Galaxy Note10+ | |||
| FPT Elead F22FAH | |||
| Machine Translation (Q) | 157 | 969 | 16.2% |
| Samsung Galaxy Note10+ | |||
| FPT Elead F22FAH | |||
