FPT Elead F22FAH vs FPT Elead F22FAH
| FPT Elead F22FAH | FPT Elead F22FAH | Difference | |
|---|---|---|---|
| Single Precision | 959 | 959 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Half Precision | 1027 | 1027 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Quantized | 744 | 744 | 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 | DirectML | DirectML |
| AI Device | Intel(R) UHD Graphics 630 | Intel(R) UHD Graphics 630 |
| 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) | 452 | 452 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Image Classification (HP) | 467 | 467 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Image Classification (Q) | 395 | 395 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Image Segmentation (SP) | 627 | 627 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Image Segmentation (HP) | 609 | 609 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Image Segmentation (Q) | 487 | 487 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Pose Estimation (SP) | 2172 | 2172 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Pose Estimation (HP) | 3361 | 3361 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Pose Estimation (Q) | 1982 | 1982 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Object Detection (SP) | 490 | 490 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Object Detection (HP) | 460 | 460 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Object Detection (Q) | 420 | 420 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Face Detection (SP) | 1027 | 1027 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Face Detection (HP) | 967 | 967 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Face Detection (Q) | 794 | 794 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Depth Estimation (SP) | 1721 | 1721 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Depth Estimation (HP) | 1968 | 1968 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Depth Estimation (Q) | 1426 | 1426 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Style Transfer (SP) | 5681 | 5681 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Style Transfer (HP) | 8321 | 8321 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Style Transfer (Q) | 4881 | 4881 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Image Super-Resolution (SP) | 1105 | 1105 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Image Super-Resolution (HP) | 1530 | 1530 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Image Super-Resolution (Q) | 857 | 857 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Text Classification (SP) | 414 | 414 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Text Classification (HP) | 268 | 268 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Text Classification (Q) | 258 | 258 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Machine Translation (SP) | 476 | 476 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Machine Translation (HP) | 459 | 459 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Machine Translation (Q) | 269 | 269 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
