PELADN WI-6 vs PELADN WI-6
| PELADN WI-6 | PELADN WI-6 | Difference | |
|---|---|---|---|
| Single Precision | 618 | 618 | 100.0% |
| PELADN WI-6 | |||
| PELADN WI-6 | |||
| Half Precision | 335 | 335 | 100.0% |
| PELADN WI-6 | |||
| PELADN WI-6 | |||
| Quantized | 1098 | 1098 | 100.0% |
| PELADN WI-6 | |||
| PELADN WI-6 | |||
| Geekbench AI 1.4.0 | Geekbench AI 1.4.0 | ||
System Information
| PELADN WI-6 | PELADN WI-6 | |
|---|---|---|
| AI Framework | ONNX | ONNX |
| AI Backend | CPU | CPU |
| AI Device | Intel(R) N150 | Intel(R) N150 |
| Operating System | Microsoft Windows 11 Pro (64-bit) | Microsoft Windows 11 Pro (64-bit) |
| Model | PELADN WI-6 | PELADN WI-6 |
| Processor |
Intel N150 @ 800 MHz
1 Processor, 4 Cores |
Intel N150 @ 800 MHz
1 Processor, 4 Cores |
| Processor ID | GenuineIntel Family 6 Model 190 Stepping 0 | GenuineIntel Family 6 Model 190 Stepping 0 |
| Processor Codename | ||
| Processor Package | ||
| Motherboard | PELADN WI-6 | PELADN WI-6 |
| Northbridge | ||
| Southbridge | ||
| BIOS | American Megatrends International, LLC. 10PI | American Megatrends International, LLC. 10PI |
| Memory | 16.00 GB | 16.00 GB |
AI Performance
| PELADN WI-6 | PELADN WI-6 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 346 | 346 | 100.0% |
| PELADN WI-6 | |||
| PELADN WI-6 | |||
| Image Classification (HP) | 147 | 147 | 100.0% |
| PELADN WI-6 | |||
| PELADN WI-6 | |||
| Image Classification (Q) | 660 | 660 | 100.0% |
| PELADN WI-6 | |||
| PELADN WI-6 | |||
| Image Segmentation (SP) | 351 | 351 | 100.0% |
| PELADN WI-6 | |||
| PELADN WI-6 | |||
| Image Segmentation (HP) | 214 | 214 | 100.0% |
| PELADN WI-6 | |||
| PELADN WI-6 | |||
| Image Segmentation (Q) | 944 | 944 | 100.0% |
| PELADN WI-6 | |||
| PELADN WI-6 | |||
| Pose Estimation (SP) | 802 | 802 | 100.0% |
| PELADN WI-6 | |||
| PELADN WI-6 | |||
| Pose Estimation (HP) | 679 | 679 | 100.0% |
| PELADN WI-6 | |||
| PELADN WI-6 | |||
| Pose Estimation (Q) | 1823 | 1823 | 100.0% |
| PELADN WI-6 | |||
| PELADN WI-6 | |||
| Object Detection (SP) | 396 | 396 | 100.0% |
| PELADN WI-6 | |||
| PELADN WI-6 | |||
| Object Detection (HP) | 176 | 176 | 100.0% |
| PELADN WI-6 | |||
| PELADN WI-6 | |||
| Object Detection (Q) | 715 | 715 | 100.0% |
| PELADN WI-6 | |||
| PELADN WI-6 | |||
| Face Detection (SP) | 1024 | 1024 | 100.0% |
| PELADN WI-6 | |||
| PELADN WI-6 | |||
| Face Detection (HP) | 442 | 442 | 100.0% |
| PELADN WI-6 | |||
| PELADN WI-6 | |||
| Face Detection (Q) | 1848 | 1848 | 100.0% |
| PELADN WI-6 | |||
| PELADN WI-6 | |||
| Depth Estimation (SP) | 1151 | 1151 | 100.0% |
| PELADN WI-6 | |||
| PELADN WI-6 | |||
| Depth Estimation (HP) | 473 | 473 | 100.0% |
| PELADN WI-6 | |||
| PELADN WI-6 | |||
| Depth Estimation (Q) | 1994 | 1994 | 100.0% |
| PELADN WI-6 | |||
| PELADN WI-6 | |||
| Style Transfer (SP) | 2117 | 2117 | 100.0% |
| PELADN WI-6 | |||
| PELADN WI-6 | |||
| Style Transfer (HP) | 1580 | 1580 | 100.0% |
| PELADN WI-6 | |||
| PELADN WI-6 | |||
| Style Transfer (Q) | 2809 | 2809 | 100.0% |
| PELADN WI-6 | |||
| PELADN WI-6 | |||
| Image Super-Resolution (SP) | 412 | 412 | 100.0% |
| PELADN WI-6 | |||
| PELADN WI-6 | |||
| Image Super-Resolution (HP) | 315 | 315 | 100.0% |
| PELADN WI-6 | |||
| PELADN WI-6 | |||
| Image Super-Resolution (Q) | 811 | 811 | 100.0% |
| PELADN WI-6 | |||
| PELADN WI-6 | |||
| Text Classification (SP) | 366 | 366 | 100.0% |
| PELADN WI-6 | |||
| PELADN WI-6 | |||
| Text Classification (HP) | 203 | 203 | 100.0% |
| PELADN WI-6 | |||
| PELADN WI-6 | |||
| Text Classification (Q) | 516 | 516 | 100.0% |
| PELADN WI-6 | |||
| PELADN WI-6 | |||
| Machine Translation (SP) | 569 | 569 | 100.0% |
| PELADN WI-6 | |||
| PELADN WI-6 | |||
| Machine Translation (HP) | 230 | 230 | 100.0% |
| PELADN WI-6 | |||
| PELADN WI-6 | |||
| Machine Translation (Q) | 727 | 727 | 100.0% |
| PELADN WI-6 | |||
| PELADN WI-6 | |||
