FPT Elead F22FAH vs FPT Elead F22FAH
| FPT Elead F22FAH | FPT Elead F22FAH | Difference | |
|---|---|---|---|
| Single Precision | 3426 | 3426 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Half Precision | 3436 | 3436 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Quantized | 5140 | 5140 | 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 | CPU | CPU |
| AI Device | Intel(R) Core(TM) i5-10400 CPU @ 2.90GHz | Intel(R) Core(TM) i5-10400 CPU @ 2.90GHz |
| 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) | 2135 | 2135 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Image Classification (HP) | 2172 | 2172 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Image Classification (Q) | 3247 | 3247 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Image Segmentation (SP) | 2143 | 2143 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Image Segmentation (HP) | 2138 | 2138 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Image Segmentation (Q) | 3617 | 3617 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Pose Estimation (SP) | 4517 | 4517 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Pose Estimation (HP) | 4523 | 4523 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Pose Estimation (Q) | 8919 | 8919 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Object Detection (SP) | 2098 | 2098 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Object Detection (HP) | 2107 | 2107 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Object Detection (Q) | 3381 | 3381 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Face Detection (SP) | 3731 | 3731 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Face Detection (HP) | 3735 | 3735 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Face Detection (Q) | 8901 | 8901 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Depth Estimation (SP) | 5706 | 5706 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Depth Estimation (HP) | 5766 | 5766 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Depth Estimation (Q) | 9369 | 9369 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Style Transfer (SP) | 13083 | 13083 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Style Transfer (HP) | 13088 | 13088 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Style Transfer (Q) | 25217 | 25217 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Image Super-Resolution (SP) | 2665 | 2665 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Image Super-Resolution (HP) | 2660 | 2660 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Image Super-Resolution (Q) | 5218 | 5218 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Text Classification (SP) | 2262 | 2262 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Text Classification (HP) | 2243 | 2243 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Text Classification (Q) | 1078 | 1078 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Machine Translation (SP) | 3069 | 3069 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Machine Translation (HP) | 3082 | 3082 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
| Machine Translation (Q) | 3074 | 3074 | 100.0% |
| FPT Elead F22FAH | |||
| FPT Elead F22FAH | |||
