LENOVO 10T8SFV200 | LENOVO 10T8SFV200 | Difference | |
---|---|---|---|
Single Precision | 247 | 247 | 100.0% |
LENOVO 10T8SFV200 | |||
LENOVO 10T8SFV200 | |||
Half Precision | 190 | 190 | 100.0% |
LENOVO 10T8SFV200 | |||
LENOVO 10T8SFV200 | |||
Quantized | 445 | 445 | 100.0% |
LENOVO 10T8SFV200 | |||
LENOVO 10T8SFV200 | |||
Geekbench AI 1.2.0 | Geekbench AI 1.2.0 |
LENOVO 10T8SFV200 | LENOVO 10T8SFV200 | |
---|---|---|
AI Framework | ONNX | ONNX |
AI Backend | CPU | CPU |
AI Device | Intel Pentium Gold G5400T | Intel Pentium Gold G5400T |
Operating System | Microsoft Windows 10 Pro (64-bit) | Microsoft Windows 10 Pro (64-bit) |
Model | LENOVO 10T8SFV200 | LENOVO 10T8SFV200 |
Processor |
Intel Pentium Gold G5400T @ 3.10 GHz
1 Processor, 2 Cores, 4 Threads |
Intel Pentium Gold G5400T @ 3.10 GHz
1 Processor, 2 Cores, 4 Threads |
Processor ID | GenuineIntel Family 6 Model 158 Stepping 10 | GenuineIntel Family 6 Model 158 Stepping 10 |
Processor Codename | ||
Processor Package | ||
Motherboard | LENOVO 312D | LENOVO 312D |
Northbridge | ||
Southbridge | ||
BIOS | LENOVO M1UKT77A | LENOVO M1UKT77A |
Memory | 8.00 GB | 8.00 GB |
LENOVO 10T8SFV200 | LENOVO 10T8SFV200 | Difference | |
---|---|---|---|
Image Classification (SP) | 117 | 117 | 100.0% |
LENOVO 10T8SFV200 | |||
LENOVO 10T8SFV200 | |||
Image Classification (HP) | 105 | 105 | 100.0% |
LENOVO 10T8SFV200 | |||
LENOVO 10T8SFV200 | |||
Image Classification (Q) | 386 | 386 | 100.0% |
LENOVO 10T8SFV200 | |||
LENOVO 10T8SFV200 | |||
Image Segmentation (SP) | 184 | 184 | 100.0% |
LENOVO 10T8SFV200 | |||
LENOVO 10T8SFV200 | |||
Image Segmentation (HP) | 153 | 153 | 100.0% |
LENOVO 10T8SFV200 | |||
LENOVO 10T8SFV200 | |||
Image Segmentation (Q) | 312 | 312 | 100.0% |
LENOVO 10T8SFV200 | |||
LENOVO 10T8SFV200 | |||
Pose Estimation (SP) | 309 | 309 | 100.0% |
LENOVO 10T8SFV200 | |||
LENOVO 10T8SFV200 | |||
Pose Estimation (HP) | 271 | 271 | 100.0% |
LENOVO 10T8SFV200 | |||
LENOVO 10T8SFV200 | |||
Pose Estimation (Q) | 644 | 644 | 100.0% |
LENOVO 10T8SFV200 | |||
LENOVO 10T8SFV200 | |||
Object Detection (SP) | 162 | 162 | 100.0% |
LENOVO 10T8SFV200 | |||
LENOVO 10T8SFV200 | |||
Object Detection (HP) | 104 | 104 | 100.0% |
LENOVO 10T8SFV200 | |||
LENOVO 10T8SFV200 | |||
Object Detection (Q) | 247 | 247 | 100.0% |
LENOVO 10T8SFV200 | |||
LENOVO 10T8SFV200 | |||
Face Detection (SP) | 489 | 489 | 100.0% |
LENOVO 10T8SFV200 | |||
LENOVO 10T8SFV200 | |||
Face Detection (HP) | 264 | 264 | 100.0% |
LENOVO 10T8SFV200 | |||
LENOVO 10T8SFV200 | |||
Face Detection (Q) | 696 | 696 | 100.0% |
LENOVO 10T8SFV200 | |||
LENOVO 10T8SFV200 | |||
Depth Estimation (SP) | 337 | 337 | 100.0% |
LENOVO 10T8SFV200 | |||
LENOVO 10T8SFV200 | |||
Depth Estimation (HP) | 255 | 255 | 100.0% |
LENOVO 10T8SFV200 | |||
LENOVO 10T8SFV200 | |||
Depth Estimation (Q) | 684 | 684 | 100.0% |
LENOVO 10T8SFV200 | |||
LENOVO 10T8SFV200 | |||
Style Transfer (SP) | 683 | 683 | 100.0% |
LENOVO 10T8SFV200 | |||
LENOVO 10T8SFV200 | |||
Style Transfer (HP) | 668 | 668 | 100.0% |
LENOVO 10T8SFV200 | |||
LENOVO 10T8SFV200 | |||
Style Transfer (Q) | 1226 | 1226 | 100.0% |
LENOVO 10T8SFV200 | |||
LENOVO 10T8SFV200 | |||
Image Super-Resolution (SP) | 130 | 130 | 100.0% |
LENOVO 10T8SFV200 | |||
LENOVO 10T8SFV200 | |||
Image Super-Resolution (HP) | 146 | 146 | 100.0% |
LENOVO 10T8SFV200 | |||
LENOVO 10T8SFV200 | |||
Image Super-Resolution (Q) | 328 | 328 | 100.0% |
LENOVO 10T8SFV200 | |||
LENOVO 10T8SFV200 | |||
Text Classification (SP) | 177 | 177 | 100.0% |
LENOVO 10T8SFV200 | |||
LENOVO 10T8SFV200 | |||
Text Classification (HP) | 131 | 131 | 100.0% |
LENOVO 10T8SFV200 | |||
LENOVO 10T8SFV200 | |||
Text Classification (Q) | 182 | 182 | 100.0% |
LENOVO 10T8SFV200 | |||
LENOVO 10T8SFV200 | |||
Machine Translation (SP) | 305 | 305 | 100.0% |
LENOVO 10T8SFV200 | |||
LENOVO 10T8SFV200 | |||
Machine Translation (HP) | 161 | 161 | 100.0% |
LENOVO 10T8SFV200 | |||
LENOVO 10T8SFV200 | |||
Machine Translation (Q) | 462 | 462 | 100.0% |
LENOVO 10T8SFV200 | |||
LENOVO 10T8SFV200 |