LGE LM-V600 | MM-Vision Computer | Difference | |
---|---|---|---|
Single Precision | 1060 | 2452 | 43.2% |
LGE LM-V600 | |||
MM-Vision Computer | |||
Half Precision | 1019 | 1030 | 98.9% |
LGE LM-V600 | |||
MM-Vision Computer | |||
Quantized | 1767 | 2808 | 62.9% |
LGE LM-V600 | |||
MM-Vision Computer | |||
Geekbench AI 1.2.0 | Geekbench AI 1.3.0 |
LGE LM-V600 | MM-Vision Computer | |
---|---|---|
AI Framework | TensorFlow Lite | ONNX |
AI Backend | CPU | CPU |
AI Device | ARM Qualcomm | AMD Ryzen 9 3900X |
Operating System | Android 13 | Microsoft Windows 10 Pro (64-bit) |
Model | LGE LM-V600 | MM-Vision Computer |
Processor |
ARM Qualcomm @ 1.80 GHz
1 Processor, 8 Cores |
AMD Ryzen 9 3900X @ 3.90 GHz
1 Processor, 12 Cores, 24 Threads |
Processor ID | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 | AuthenticAMD Family 23 Model 113 Stepping 0 |
Processor Codename | ||
Processor Package | ||
Motherboard | kona | ASUSTeK COMPUTER INC. TUF GAMING X570-PLUS (WI-FI) |
Northbridge | ||
Southbridge | ||
BIOS | American Megatrends Inc. 5021 | |
Memory | 7.49 GB | 64.00 GB |
LGE LM-V600 | MM-Vision Computer | Difference | |
---|---|---|---|
Image Classification (SP) | 558 | 1770 | 31.5% |
LGE LM-V600 | |||
MM-Vision Computer | |||
Image Classification (HP) | 554 | 363 | 152.6% |
LGE LM-V600 | |||
MM-Vision Computer | |||
Image Classification (Q) | 1524 | 2900 | 52.6% |
LGE LM-V600 | |||
MM-Vision Computer | |||
Image Segmentation (SP) | 687 | 837 | 82.1% |
LGE LM-V600 | |||
MM-Vision Computer | |||
Image Segmentation (HP) | 692 | 441 | 156.9% |
LGE LM-V600 | |||
MM-Vision Computer | |||
Image Segmentation (Q) | 1718 | 1577 | 108.9% |
LGE LM-V600 | |||
MM-Vision Computer | |||
Pose Estimation (SP) | 2443 | 6022 | 40.6% |
LGE LM-V600 | |||
MM-Vision Computer | |||
Pose Estimation (HP) | 2232 | 4388 | 50.9% |
LGE LM-V600 | |||
MM-Vision Computer | |||
Pose Estimation (Q) | 3536 | 7295 | 48.5% |
LGE LM-V600 | |||
MM-Vision Computer | |||
Object Detection (SP) | 480 | 1776 | 27.0% |
LGE LM-V600 | |||
MM-Vision Computer | |||
Object Detection (HP) | 484 | 461 | 105.0% |
LGE LM-V600 | |||
MM-Vision Computer | |||
Object Detection (Q) | 1305 | 1998 | 65.3% |
LGE LM-V600 | |||
MM-Vision Computer | |||
Face Detection (SP) | 1616 | 3970 | 40.7% |
LGE LM-V600 | |||
MM-Vision Computer | |||
Face Detection (HP) | 1595 | 1032 | 154.6% |
LGE LM-V600 | |||
MM-Vision Computer | |||
Face Detection (Q) | 2837 | 5696 | 49.8% |
LGE LM-V600 | |||
MM-Vision Computer | |||
Depth Estimation (SP) | 1890 | 5845 | 32.3% |
LGE LM-V600 | |||
MM-Vision Computer | |||
Depth Estimation (HP) | 1687 | 1602 | 105.3% |
LGE LM-V600 | |||
MM-Vision Computer | |||
Depth Estimation (Q) | 2684 | 6958 | 38.6% |
LGE LM-V600 | |||
MM-Vision Computer | |||
Style Transfer (SP) | 3676 | 12396 | 29.7% |
LGE LM-V600 | |||
MM-Vision Computer | |||
Style Transfer (HP) | 3409 | 10247 | 33.3% |
LGE LM-V600 | |||
MM-Vision Computer | |||
Style Transfer (Q) | 6464 | 12877 | 50.2% |
LGE LM-V600 | |||
MM-Vision Computer | |||
Image Super-Resolution (SP) | 991 | 1497 | 66.2% |
LGE LM-V600 | |||
MM-Vision Computer | |||
Image Super-Resolution (HP) | 965 | 1281 | 75.3% |
LGE LM-V600 | |||
MM-Vision Computer | |||
Image Super-Resolution (Q) | 1518 | 1624 | 93.5% |
LGE LM-V600 | |||
MM-Vision Computer | |||
Text Classification (SP) | 451 | 822 | 54.9% |
LGE LM-V600 | |||
MM-Vision Computer | |||
Text Classification (HP) | 475 | 402 | 118.2% |
LGE LM-V600 | |||
MM-Vision Computer | |||
Text Classification (Q) | 796 | 323 | 246.4% |
LGE LM-V600 | |||
MM-Vision Computer | |||
Machine Translation (SP) | 795 | 1401 | 56.7% |
LGE LM-V600 | |||
MM-Vision Computer | |||
Machine Translation (HP) | 697 | 479 | 145.5% |
LGE LM-V600 | |||
MM-Vision Computer | |||
Machine Translation (Q) | 414 | 1710 | 24.2% |
LGE LM-V600 | |||
MM-Vision Computer |