Wincomm WLPM-H22 vs Wincomm WLPM-H22
| Wincomm WLPM-H22 | Wincomm WLPM-H22 | Difference | |
|---|---|---|---|
| Inference Score | 3134 | 3134 | 100.0% |
| Wincomm WLPM-H22 | |||
| Wincomm WLPM-H22 | |||
| Geekbench ML 0.6.0 | Geekbench ML 0.6.0 | ||
System Information
| Wincomm WLPM-H22 | Wincomm WLPM-H22 | |
|---|---|---|
| Operating System | Microsoft Windows 10 IoT Enterprise LTSC (64-bit) | Microsoft Windows 10 IoT Enterprise LTSC (64-bit) |
| Model | Wincomm WLPM-H22 | Wincomm WLPM-H22 |
| Processor |
Intel Core i5-14400 @ 2.50 GHz
1 Processor, 10 Cores, 16 Threads |
Intel Core i5-14400 @ 2.50 GHz
1 Processor, 10 Cores, 16 Threads |
| Processor ID | GenuineIntel Family 6 Model 191 Stepping 2 | GenuineIntel Family 6 Model 191 Stepping 2 |
| Processor Codename | ||
| Processor Package | ||
| L1 Instruction Cache | 64.0 KB x 8 | 64.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 | 32.0 KB x 8 |
| L2 Cache | 2.00 MB x 2 | 2.00 MB x 2 |
| L3 Cache | 20.0 MB x 1 | 20.0 MB x 1 |
| Motherboard | Wincomm WLPM-H22 | Wincomm WLPM-H22 |
| Northbridge | ||
| Southbridge | ||
| BIOS | American Megatrends International, LLC. V1.00/636G0WLPMH2200 | American Megatrends International, LLC. V1.00/636G0WLPMH2200 |
| Memory | 8.00 GB | 8.00 GB |
Inference Performance
| Wincomm WLPM-H22 | Wincomm WLPM-H22 | Difference | |
|---|---|---|---|
| Inference Score | 3134 | 3134 | 100.0% |
| Wincomm WLPM-H22 | |||
| Wincomm WLPM-H22 | |||
| Image Classification (F32) | 1757 | 1757 | 100.0% |
| Wincomm WLPM-H22 | |||
| Wincomm WLPM-H22 | |||
| Image Classification (F16) | 1776 | 1776 | 100.0% |
| Wincomm WLPM-H22 | |||
| Wincomm WLPM-H22 | |||
| Image Classification (I8) | 3309 | 3309 | 100.0% |
| Wincomm WLPM-H22 | |||
| Wincomm WLPM-H22 | |||
| Image Segmentation (F32) | 1486 | 1486 | 100.0% |
| Wincomm WLPM-H22 | |||
| Wincomm WLPM-H22 | |||
| Image Segmentation (F16) | 1506 | 1506 | 100.0% |
| Wincomm WLPM-H22 | |||
| Wincomm WLPM-H22 | |||
| Image Segmentation (I8) | 2285 | 2285 | 100.0% |
| Wincomm WLPM-H22 | |||
| Wincomm WLPM-H22 | |||
| Pose Estimation (F32) | 5633 | 5633 | 100.0% |
| Wincomm WLPM-H22 | |||
| Wincomm WLPM-H22 | |||
| Pose Estimation (F16) | 5658 | 5658 | 100.0% |
| Wincomm WLPM-H22 | |||
| Wincomm WLPM-H22 | |||
| Pose Estimation (I8) | 18709 | 18709 | 100.0% |
| Wincomm WLPM-H22 | |||
| Wincomm WLPM-H22 | |||
| Object Detection (F32) | 1670 | 1670 | 100.0% |
| Wincomm WLPM-H22 | |||
| Wincomm WLPM-H22 | |||
| Object Detection (F16) | 1668 | 1668 | 100.0% |
| Wincomm WLPM-H22 | |||
| Wincomm WLPM-H22 | |||
| Object Detection (I8) | 1738 | 1738 | 100.0% |
| Wincomm WLPM-H22 | |||
| Wincomm WLPM-H22 | |||
| Face Detection (F32) | 2228 | 2228 | 100.0% |
| Wincomm WLPM-H22 | |||
| Wincomm WLPM-H22 | |||
| Face Detection (F16) | 2236 | 2236 | 100.0% |
| Wincomm WLPM-H22 | |||
| Wincomm WLPM-H22 | |||
| Face Detection (I8) | 3185 | 3185 | 100.0% |
| Wincomm WLPM-H22 | |||
| Wincomm WLPM-H22 | |||
| Depth Estimation (F32) | 6243 | 6243 | 100.0% |
| Wincomm WLPM-H22 | |||
| Wincomm WLPM-H22 | |||
| Depth Estimation (F16) | 6257 | 6257 | 100.0% |
| Wincomm WLPM-H22 | |||
| Wincomm WLPM-H22 | |||
| Depth Estimation (I8) | 12054 | 12054 | 100.0% |
| Wincomm WLPM-H22 | |||
| Wincomm WLPM-H22 | |||
| Style Transfer (F32) | 12848 | 12848 | 100.0% |
| Wincomm WLPM-H22 | |||
| Wincomm WLPM-H22 | |||
| Style Transfer (F16) | 12867 | 12867 | 100.0% |
| Wincomm WLPM-H22 | |||
| Wincomm WLPM-H22 | |||
| Style Transfer (I8) | 13732 | 13732 | 100.0% |
| Wincomm WLPM-H22 | |||
| Wincomm WLPM-H22 | |||
| Image Super-Resolution (F32) | 2866 | 2866 | 100.0% |
| Wincomm WLPM-H22 | |||
| Wincomm WLPM-H22 | |||
| Image Super-Resolution (F16) | 2843 | 2843 | 100.0% |
| Wincomm WLPM-H22 | |||
| Wincomm WLPM-H22 | |||
| Image Super-Resolution (I8) | 4418 | 4418 | 100.0% |
| Wincomm WLPM-H22 | |||
| Wincomm WLPM-H22 | |||
| Text Classification (F32) | 1475 | 1475 | 100.0% |
| Wincomm WLPM-H22 | |||
| Wincomm WLPM-H22 | |||
| Text Classification (F16) | 1472 | 1472 | 100.0% |
| Wincomm WLPM-H22 | |||
| Wincomm WLPM-H22 | |||
| Text Classification (I8) | 488 | 488 | 100.0% |
| Wincomm WLPM-H22 | |||
| Wincomm WLPM-H22 | |||
| Machine Translation (F32) | 1789 | 1789 | 100.0% |
| Wincomm WLPM-H22 | |||
| Wincomm WLPM-H22 | |||
| Machine Translation (F16) | 1764 | 1764 | 100.0% |
| Wincomm WLPM-H22 | |||
| Wincomm WLPM-H22 | |||
| Machine Translation (I8) | 2464 | 2464 | 100.0% |
| Wincomm WLPM-H22 | |||
| Wincomm WLPM-H22 | |||
