LENOVO 21FD000SCL vs Samsung Galaxy S23 Ultra
| LENOVO 21FD000SCL | Samsung Galaxy S23 Ultra | Difference | |
|---|---|---|---|
| Single Precision | 3776 | 839 | 450.1% |
| LENOVO 21FD000SCL | |||
| Samsung Galaxy S23 Ultra | |||
| Half Precision | 1488 | 729 | 204.1% |
| LENOVO 21FD000SCL | |||
| Samsung Galaxy S23 Ultra | |||
| Quantized | 5737 | 1317 | 435.6% |
| LENOVO 21FD000SCL | |||
| Samsung Galaxy S23 Ultra | |||
| Geekbench AI 1.3.0 | Geekbench AI 1.4.0 | ||
System Information
| LENOVO 21FD000SCL | Samsung Galaxy S23 Ultra | |
|---|---|---|
| AI Framework | ONNX | TensorFlow Lite |
| AI Backend | CPU | CPU |
| AI Device | Intel Core i7-13800H | Qualcomm Snapdragon 8 Gen 2 |
| Operating System | Microsoft Windows 11 Pro (64-bit) | Android 15 |
| Model | LENOVO 21FD000SCL | Samsung Galaxy S23 Ultra |
| Processor |
Intel Core i7-13800H @ 2.50 GHz
1 Processor, 14 Cores, 20 Threads |
ARM ARMv8 @ 2.02 GHz
1 Processor, 8 Cores |
| Processor ID | GenuineIntel Family 6 Model 186 Stepping 2 | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Processor Codename | ||
| Processor Package | ||
| Motherboard | LENOVO 21FD000SCL | kalama |
| Northbridge | ||
| Southbridge | ||
| BIOS | LENOVO N3UET22W (1.09 ) | |
| Memory | 16.00 GB | 10.79 GB |
AI Performance
| LENOVO 21FD000SCL | Samsung Galaxy S23 Ultra | Difference | |
|---|---|---|---|
| Image Classification (SP) | 2965 | 992 | 298.9% |
| LENOVO 21FD000SCL | |||
| Samsung Galaxy S23 Ultra | |||
| Image Classification (HP) | 612 | 535 | 114.4% |
| LENOVO 21FD000SCL | |||
| Samsung Galaxy S23 Ultra | |||
| Image Classification (Q) | 5994 | 1436 | 417.4% |
| LENOVO 21FD000SCL | |||
| Samsung Galaxy S23 Ultra | |||
| Image Segmentation (SP) | 1814 | 747 | 242.8% |
| LENOVO 21FD000SCL | |||
| Samsung Galaxy S23 Ultra | |||
| Image Segmentation (HP) | 1054 | 426 | 247.4% |
| LENOVO 21FD000SCL | |||
| Samsung Galaxy S23 Ultra | |||
| Image Segmentation (Q) | 3018 | 1645 | 183.5% |
| LENOVO 21FD000SCL | |||
| Samsung Galaxy S23 Ultra | |||
| Pose Estimation (SP) | 6299 | 1794 | 351.1% |
| LENOVO 21FD000SCL | |||
| Samsung Galaxy S23 Ultra | |||
| Pose Estimation (HP) | 3906 | 1624 | 240.5% |
| LENOVO 21FD000SCL | |||
| Samsung Galaxy S23 Ultra | |||
| Pose Estimation (Q) | 20630 | 2244 | 919.3% |
| LENOVO 21FD000SCL | |||
| Samsung Galaxy S23 Ultra | |||
| Object Detection (SP) | 2632 | 520 | 506.2% |
| LENOVO 21FD000SCL | |||
| Samsung Galaxy S23 Ultra | |||
| Object Detection (HP) | 763 | 557 | 137.0% |
| LENOVO 21FD000SCL | |||
| Samsung Galaxy S23 Ultra | |||
| Object Detection (Q) | 5519 | 1046 | 527.6% |
| LENOVO 21FD000SCL | |||
| Samsung Galaxy S23 Ultra | |||
| Face Detection (SP) | 6261 | 981 | 638.2% |
| LENOVO 21FD000SCL | |||
| Samsung Galaxy S23 Ultra | |||
| Face Detection (HP) | 1584 | 1010 | 156.8% |
| LENOVO 21FD000SCL | |||
| Samsung Galaxy S23 Ultra | |||
| Face Detection (Q) | 9182 | 1650 | 556.5% |
| LENOVO 21FD000SCL | |||
| Samsung Galaxy S23 Ultra | |||
| Depth Estimation (SP) | 8293 | 819 | 1012.6% |
| LENOVO 21FD000SCL | |||
| Samsung Galaxy S23 Ultra | |||
| Depth Estimation (HP) | 2092 | 819 | 255.4% |
| LENOVO 21FD000SCL | |||
| Samsung Galaxy S23 Ultra | |||
| Depth Estimation (Q) | 14138 | 1714 | 824.9% |
| LENOVO 21FD000SCL | |||
| Samsung Galaxy S23 Ultra | |||
| Style Transfer (SP) | 14539 | 2392 | 607.8% |
| LENOVO 21FD000SCL | |||
| Samsung Galaxy S23 Ultra | |||
| Style Transfer (HP) | 9614 | 1968 | 488.5% |
| LENOVO 21FD000SCL | |||
| Samsung Galaxy S23 Ultra | |||
| Style Transfer (Q) | 18688 | 4481 | 417.0% |
| LENOVO 21FD000SCL | |||
| Samsung Galaxy S23 Ultra | |||
| Image Super-Resolution (SP) | 2861 | 539 | 530.8% |
| LENOVO 21FD000SCL | |||
| Samsung Galaxy S23 Ultra | |||
| Image Super-Resolution (HP) | 1894 | 549 | 345.0% |
| LENOVO 21FD000SCL | |||
| Samsung Galaxy S23 Ultra | |||
| Image Super-Resolution (Q) | 4522 | 1242 | 364.1% |
| LENOVO 21FD000SCL | |||
| Samsung Galaxy S23 Ultra | |||
| Text Classification (SP) | 1321 | 315 | 419.4% |
| LENOVO 21FD000SCL | |||
| Samsung Galaxy S23 Ultra | |||
| Text Classification (HP) | 589 | 346 | 170.2% |
| LENOVO 21FD000SCL | |||
| Samsung Galaxy S23 Ultra | |||
| Text Classification (Q) | 580 | 516 | 112.4% |
| LENOVO 21FD000SCL | |||
| Samsung Galaxy S23 Ultra | |||
| Machine Translation (SP) | 2321 | 767 | 302.6% |
| LENOVO 21FD000SCL | |||
| Samsung Galaxy S23 Ultra | |||
| Machine Translation (HP) | 781 | 669 | 116.7% |
| LENOVO 21FD000SCL | |||
| Samsung Galaxy S23 Ultra | |||
| Machine Translation (Q) | 2948 | 350 | 842.3% |
| LENOVO 21FD000SCL | |||
| Samsung Galaxy S23 Ultra | |||
