LENOVO 83HL vs LENOVO 83HL
| LENOVO 83HL | LENOVO 83HL | Difference | |
|---|---|---|---|
| Single Precision | 1901 | 1901 | 100.0% |
| LENOVO 83HL | |||
| LENOVO 83HL | |||
| Half Precision | 16001 | 16001 | 100.0% |
| LENOVO 83HL | |||
| LENOVO 83HL | |||
| Quantized | 35871 | 35871 | 100.0% |
| LENOVO 83HL | |||
| LENOVO 83HL | |||
| Geekbench AI 1.3.0 | Geekbench AI 1.3.0 | ||
System Information
| LENOVO 83HL | LENOVO 83HL | |
|---|---|---|
| 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 83HL | LENOVO 83HL |
| 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 PUCN49WW | LENOVO PUCN49WW |
| Memory | 16.00 GB | 16.00 GB |
AI Performance
| LENOVO 83HL | LENOVO 83HL | Difference | |
|---|---|---|---|
| Image Classification (SP) | 680 | 680 | 100.0% |
| LENOVO 83HL | |||
| LENOVO 83HL | |||
| Image Classification (HP) | 10394 | 10394 | 100.0% |
| LENOVO 83HL | |||
| LENOVO 83HL | |||
| Image Classification (Q) | 17697 | 17697 | 100.0% |
| LENOVO 83HL | |||
| LENOVO 83HL | |||
| Image Segmentation (SP) | 779 | 779 | 100.0% |
| LENOVO 83HL | |||
| LENOVO 83HL | |||
| Image Segmentation (HP) | 8142 | 8142 | 100.0% |
| LENOVO 83HL | |||
| LENOVO 83HL | |||
| Image Segmentation (Q) | 16957 | 16957 | 100.0% |
| LENOVO 83HL | |||
| LENOVO 83HL | |||
| Pose Estimation (SP) | 4434 | 4434 | 100.0% |
| LENOVO 83HL | |||
| LENOVO 83HL | |||
| Pose Estimation (HP) | 71056 | 71056 | 100.0% |
| LENOVO 83HL | |||
| LENOVO 83HL | |||
| Pose Estimation (Q) | 244503 | 244503 | 100.0% |
| LENOVO 83HL | |||
| LENOVO 83HL | |||
| Object Detection (SP) | 814 | 814 | 100.0% |
| LENOVO 83HL | |||
| LENOVO 83HL | |||
| Object Detection (HP) | 11124 | 11124 | 100.0% |
| LENOVO 83HL | |||
| LENOVO 83HL | |||
| Object Detection (Q) | 20177 | 20177 | 100.0% |
| LENOVO 83HL | |||
| LENOVO 83HL | |||
| Face Detection (SP) | 1861 | 1861 | 100.0% |
| LENOVO 83HL | |||
| LENOVO 83HL | |||
| Face Detection (HP) | 24097 | 24097 | 100.0% |
| LENOVO 83HL | |||
| LENOVO 83HL | |||
| Face Detection (Q) | 57498 | 57498 | 100.0% |
| LENOVO 83HL | |||
| LENOVO 83HL | |||
| Depth Estimation (SP) | 2248 | 2248 | 100.0% |
| LENOVO 83HL | |||
| LENOVO 83HL | |||
| Depth Estimation (HP) | 42136 | 42136 | 100.0% |
| LENOVO 83HL | |||
| LENOVO 83HL | |||
| Depth Estimation (Q) | 107236 | 107236 | 100.0% |
| LENOVO 83HL | |||
| LENOVO 83HL | |||
| Style Transfer (SP) | 10803 | 10803 | 100.0% |
| LENOVO 83HL | |||
| LENOVO 83HL | |||
| Style Transfer (HP) | 57404 | 57404 | 100.0% |
| LENOVO 83HL | |||
| LENOVO 83HL | |||
| Style Transfer (Q) | 260602 | 260602 | 100.0% |
| LENOVO 83HL | |||
| LENOVO 83HL | |||
| Image Super-Resolution (SP) | 1970 | 1970 | 100.0% |
| LENOVO 83HL | |||
| LENOVO 83HL | |||
| Image Super-Resolution (HP) | 30259 | 30259 | 100.0% |
| LENOVO 83HL | |||
| LENOVO 83HL | |||
| Image Super-Resolution (Q) | 64315 | 64315 | 100.0% |
| LENOVO 83HL | |||
| LENOVO 83HL | |||
| Text Classification (SP) | 1651 | 1651 | 100.0% |
| LENOVO 83HL | |||
| LENOVO 83HL | |||
| Text Classification (HP) | 2381 | 2381 | 100.0% |
| LENOVO 83HL | |||
| LENOVO 83HL | |||
| Text Classification (Q) | 3593 | 3593 | 100.0% |
| LENOVO 83HL | |||
| LENOVO 83HL | |||
| Machine Translation (SP) | 2202 | 2202 | 100.0% |
| LENOVO 83HL | |||
| LENOVO 83HL | |||
| Machine Translation (HP) | 3919 | 3919 | 100.0% |
| LENOVO 83HL | |||
| LENOVO 83HL | |||
| Machine Translation (Q) | 6418 | 6418 | 100.0% |
| LENOVO 83HL | |||
| LENOVO 83HL | |||
