FPT Elead F22FAH vs FPT Elead F22FAH
| FPT Elead F22FAH | FPT Elead F22FAH | Difference | |
|---|---|---|---|
| Single Precision | 1356 | 1356 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Half Precision | 2001 | 2001 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Quantized | 1875 | 1875 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Geekbench AI 1.2.0 | Geekbench AI 1.2.0 | ||
System Information
| FPT Elead F22FAH | FPT Elead F22FAH | |
|---|---|---|
| AI Framework | OpenVINO | OpenVINO |
| AI Backend | GPU | GPU |
| AI Device | Intel(R) UHD Graphics 630 (iGPU) | Intel(R) UHD Graphics 630 (iGPU) |
| Operating System | Microsoft Windows 10 Pro (64-bit) | Microsoft Windows 10 Pro (64-bit) |
| Model | Generic | Generic |
| Processor |
Intel Core i5-10400 @ 2.90 GHz
1 Processor, 6 Cores, 12 Threads |
Intel Core i5-10400 @ 2.90 GHz
1 Processor, 6 Cores, 12 Threads |
| Processor ID | GenuineIntel Family 6 Model 165 Stepping 3 | GenuineIntel Family 6 Model 165 Stepping 3 |
| Processor Codename | ||
| Processor Package | ||
| Motherboard | ASRock H470M-HDV/M.2 | ASRock H470M-HDV/M.2 |
| Northbridge | ||
| Southbridge | ||
| BIOS | American Megatrends Inc. P1.40 | American Megatrends Inc. P1.40 |
| Memory | 16.00 GB | 16.00 GB |
AI Performance
| FPT Elead F22FAH | FPT Elead F22FAH | Difference | |
|---|---|---|---|
| Image Classification (SP) | 843 | 843 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Image Classification (HP) | 1333 | 1333 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Image Classification (Q) | 1216 | 1216 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Image Segmentation (SP) | 1125 | 1125 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Image Segmentation (HP) | 1776 | 1776 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Image Segmentation (Q) | 1641 | 1641 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Pose Estimation (SP) | 1936 | 1936 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Pose Estimation (HP) | 2065 | 2065 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Pose Estimation (Q) | 2766 | 2766 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Object Detection (SP) | 800 | 800 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Object Detection (HP) | 1292 | 1292 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Object Detection (Q) | 1208 | 1208 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Face Detection (SP) | 2497 | 2497 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Face Detection (HP) | 4172 | 4172 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Face Detection (Q) | 3606 | 3606 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Depth Estimation (SP) | 2478 | 2478 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Depth Estimation (HP) | 4177 | 4177 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Depth Estimation (Q) | 3777 | 3777 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Style Transfer (SP) | 5472 | 5472 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Style Transfer (HP) | 7595 | 7595 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Style Transfer (Q) | 6816 | 6816 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Image Super-Resolution (SP) | 1000 | 1000 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Image Super-Resolution (HP) | 1788 | 1788 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Image Super-Resolution (Q) | 1711 | 1711 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Text Classification (SP) | 610 | 610 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Text Classification (HP) | 713 | 713 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Text Classification (Q) | 526 | 526 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Machine Translation (SP) | 693 | 693 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Machine Translation (HP) | 970 | 970 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Machine Translation (Q) | 969 | 969 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
