FPT Elead F22FAH vs FPT Elead F22FAH
| FPT Elead F22FAH | FPT Elead F22FAH | Difference | |
|---|---|---|---|
| Single Precision | 2478 | 2478 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Half Precision | 1106 | 1106 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Quantized | 2810 | 2810 | 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 | ONNX | ONNX |
| AI Backend | CPU | CPU |
| AI Device | Intel Core i5-10400 | Intel Core i5-10400 |
| 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) | 2032 | 2032 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Image Classification (HP) | 413 | 413 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Image Classification (Q) | 2957 | 2957 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Image Segmentation (SP) | 1070 | 1070 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Image Segmentation (HP) | 609 | 609 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Image Segmentation (Q) | 1459 | 1459 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Pose Estimation (SP) | 3873 | 3873 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Pose Estimation (HP) | 3102 | 3102 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Pose Estimation (Q) | 7484 | 7484 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Object Detection (SP) | 1986 | 1986 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Object Detection (HP) | 509 | 509 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Object Detection (Q) | 1790 | 1790 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Face Detection (SP) | 2874 | 2874 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Face Detection (HP) | 1077 | 1077 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Face Detection (Q) | 4842 | 4842 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Depth Estimation (SP) | 5201 | 5201 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Depth Estimation (HP) | 1632 | 1632 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Depth Estimation (Q) | 6473 | 6473 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Style Transfer (SP) | 9696 | 9696 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Style Transfer (HP) | 7620 | 7620 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Style Transfer (Q) | 11152 | 11152 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Image Super-Resolution (SP) | 1871 | 1871 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Image Super-Resolution (HP) | 1516 | 1516 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Image Super-Resolution (Q) | 2242 | 2242 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Text Classification (SP) | 1328 | 1328 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Text Classification (HP) | 644 | 644 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Text Classification (Q) | 411 | 411 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Machine Translation (SP) | 1451 | 1451 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Machine Translation (HP) | 528 | 528 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Machine Translation (Q) | 1654 | 1654 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
