LENOVO 83GH vs LENOVO 83GH
| LENOVO 83GH | LENOVO 83GH | Difference | |
|---|---|---|---|
| Single Precision | 1863 | 1863 | 100.0% |
| LENOVO 83GH | |||
| LENOVO 83GH | |||
| Half Precision | 16352 | 16352 | 100.0% |
| LENOVO 83GH | |||
| LENOVO 83GH | |||
| Quantized | 37826 | 37826 | 100.0% |
| LENOVO 83GH | |||
| LENOVO 83GH | |||
| Geekbench AI 1.4.0 | Geekbench AI 1.4.0 | ||
System Information
| LENOVO 83GH | LENOVO 83GH | |
|---|---|---|
| AI Framework | ONNX | ONNX |
| AI Backend | QNN | QNN |
| AI Device | Snapdragon(R) X Plus - X1P42100 - Qualcomm(R) Oryon(TM) CPU | Snapdragon(R) X Plus - X1P42100 - Qualcomm(R) Oryon(TM) CPU |
| Operating System | Microsoft Windows 11 Home (64-bit) | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83GH | LENOVO 83GH |
| Processor |
Snapdragon X Plus - X1P42100 - Qualcomm Oryon @ 3.24 GHz
1 Processor, 8 Cores |
Snapdragon X Plus - X1P42100 - Qualcomm Oryon @ 3.24 GHz
1 Processor, 8 Cores |
| Processor ID | ARMv8 (64-bit) Family 8 Model 1 Revision 201 | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Processor Codename | ||
| Processor Package | ||
| Motherboard | LENOVO LNVNB161216 | LENOVO LNVNB161216 |
| Northbridge | ||
| Southbridge | ||
| BIOS | LENOVO Q1CN22WW | LENOVO Q1CN22WW |
| Memory | 16.00 GB | 16.00 GB |
AI Performance
| LENOVO 83GH | LENOVO 83GH | Difference | |
|---|---|---|---|
| Image Classification (SP) | 674 | 674 | 100.0% |
| LENOVO 83GH | |||
| LENOVO 83GH | |||
| Image Classification (HP) | 10579 | 10579 | 100.0% |
| LENOVO 83GH | |||
| LENOVO 83GH | |||
| Image Classification (Q) | 17235 | 17235 | 100.0% |
| LENOVO 83GH | |||
| LENOVO 83GH | |||
| Image Segmentation (SP) | 722 | 722 | 100.0% |
| LENOVO 83GH | |||
| LENOVO 83GH | |||
| Image Segmentation (HP) | 8194 | 8194 | 100.0% |
| LENOVO 83GH | |||
| LENOVO 83GH | |||
| Image Segmentation (Q) | 20715 | 20715 | 100.0% |
| LENOVO 83GH | |||
| LENOVO 83GH | |||
| Pose Estimation (SP) | 4565 | 4565 | 100.0% |
| LENOVO 83GH | |||
| LENOVO 83GH | |||
| Pose Estimation (HP) | 70996 | 70996 | 100.0% |
| LENOVO 83GH | |||
| LENOVO 83GH | |||
| Pose Estimation (Q) | 243715 | 243715 | 100.0% |
| LENOVO 83GH | |||
| LENOVO 83GH | |||
| Object Detection (SP) | 817 | 817 | 100.0% |
| LENOVO 83GH | |||
| LENOVO 83GH | |||
| Object Detection (HP) | 11510 | 11510 | 100.0% |
| LENOVO 83GH | |||
| LENOVO 83GH | |||
| Object Detection (Q) | 20739 | 20739 | 100.0% |
| LENOVO 83GH | |||
| LENOVO 83GH | |||
| Face Detection (SP) | 1792 | 1792 | 100.0% |
| LENOVO 83GH | |||
| LENOVO 83GH | |||
| Face Detection (HP) | 24512 | 24512 | 100.0% |
| LENOVO 83GH | |||
| LENOVO 83GH | |||
| Face Detection (Q) | 60058 | 60058 | 100.0% |
| LENOVO 83GH | |||
| LENOVO 83GH | |||
| Depth Estimation (SP) | 2260 | 2260 | 100.0% |
| LENOVO 83GH | |||
| LENOVO 83GH | |||
| Depth Estimation (HP) | 41925 | 41925 | 100.0% |
| LENOVO 83GH | |||
| LENOVO 83GH | |||
| Depth Estimation (Q) | 107190 | 107190 | 100.0% |
| LENOVO 83GH | |||
| LENOVO 83GH | |||
| Style Transfer (SP) | 10853 | 10853 | 100.0% |
| LENOVO 83GH | |||
| LENOVO 83GH | |||
| Style Transfer (HP) | 54663 | 54663 | 100.0% |
| LENOVO 83GH | |||
| LENOVO 83GH | |||
| Style Transfer (Q) | 255673 | 255673 | 100.0% |
| LENOVO 83GH | |||
| LENOVO 83GH | |||
| Image Super-Resolution (SP) | 1870 | 1870 | 100.0% |
| LENOVO 83GH | |||
| LENOVO 83GH | |||
| Image Super-Resolution (HP) | 29415 | 29415 | 100.0% |
| LENOVO 83GH | |||
| LENOVO 83GH | |||
| Image Super-Resolution (Q) | 62542 | 62542 | 100.0% |
| LENOVO 83GH | |||
| LENOVO 83GH | |||
| Text Classification (SP) | 1538 | 1538 | 100.0% |
| LENOVO 83GH | |||
| LENOVO 83GH | |||
| Text Classification (HP) | 2539 | 2539 | 100.0% |
| LENOVO 83GH | |||
| LENOVO 83GH | |||
| Text Classification (Q) | 3664 | 3664 | 100.0% |
| LENOVO 83GH | |||
| LENOVO 83GH | |||
| Machine Translation (SP) | 2201 | 2201 | 100.0% |
| LENOVO 83GH | |||
| LENOVO 83GH | |||
| Machine Translation (HP) | 4600 | 4600 | 100.0% |
| LENOVO 83GH | |||
| LENOVO 83GH | |||
| Machine Translation (Q) | 8811 | 8811 | 100.0% |
| LENOVO 83GH | |||
| LENOVO 83GH | |||
