AZW U59 vs AZW U59
| AZW U59 | AZW U59 | Difference | |
|---|---|---|---|
| Single Precision | 381 | 381 | 100.0% |
| AZW U59 | |||
| AZW U59 | |||
| Half Precision | 213 | 213 | 100.0% |
| AZW U59 | |||
| AZW U59 | |||
| Quantized | 546 | 546 | 100.0% |
| AZW U59 | |||
| AZW U59 | |||
| Geekbench AI 1.2.0 | Geekbench AI 1.2.0 | ||
System Information
| AZW U59 | AZW U59 | |
|---|---|---|
| AI Framework | ONNX | ONNX |
| AI Backend | CPU | CPU |
| AI Device | Intel(R) Celeron(R) N5095 @ 2.00GHz | Intel(R) Celeron(R) N5095 @ 2.00GHz |
| Operating System | Microsoft Windows 10 Enterprise (64-bit) | Microsoft Windows 10 Enterprise (64-bit) |
| Model | AZW U59 | AZW U59 |
| Processor |
Intel Celeron N5095 @ 2.00 GHz
1 Processor, 4 Cores |
Intel Celeron N5095 @ 2.00 GHz
1 Processor, 4 Cores |
| Processor ID | GenuineIntel Family 6 Model 156 Stepping 0 | GenuineIntel Family 6 Model 156 Stepping 0 |
| Processor Codename | ||
| Processor Package | ||
| Motherboard | AZW U59 | AZW U59 |
| Northbridge | ||
| Southbridge | ||
| BIOS | American Megatrends International, LLC. JB6007 | American Megatrends International, LLC. JB6007 |
| Memory | 16.00 GB | 16.00 GB |
AI Performance
| AZW U59 | AZW U59 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 251 | 251 | 100.0% |
| AZW U59 | |||
| AZW U59 | |||
| Image Classification (HP) | 100 | 100 | 100.0% |
| AZW U59 | |||
| AZW U59 | |||
| Image Classification (Q) | 428 | 428 | 100.0% |
| AZW U59 | |||
| AZW U59 | |||
| Image Segmentation (SP) | 223 | 223 | 100.0% |
| AZW U59 | |||
| AZW U59 | |||
| Image Segmentation (HP) | 144 | 144 | 100.0% |
| AZW U59 | |||
| AZW U59 | |||
| Image Segmentation (Q) | 389 | 389 | 100.0% |
| AZW U59 | |||
| AZW U59 | |||
| Pose Estimation (SP) | 437 | 437 | 100.0% |
| AZW U59 | |||
| AZW U59 | |||
| Pose Estimation (HP) | 318 | 318 | 100.0% |
| AZW U59 | |||
| AZW U59 | |||
| Pose Estimation (Q) | 880 | 880 | 100.0% |
| AZW U59 | |||
| AZW U59 | |||
| Object Detection (SP) | 240 | 240 | 100.0% |
| AZW U59 | |||
| AZW U59 | |||
| Object Detection (HP) | 111 | 111 | 100.0% |
| AZW U59 | |||
| AZW U59 | |||
| Object Detection (Q) | 300 | 300 | 100.0% |
| AZW U59 | |||
| AZW U59 | |||
| Face Detection (SP) | 722 | 722 | 100.0% |
| AZW U59 | |||
| AZW U59 | |||
| Face Detection (HP) | 295 | 295 | 100.0% |
| AZW U59 | |||
| AZW U59 | |||
| Face Detection (Q) | 940 | 940 | 100.0% |
| AZW U59 | |||
| AZW U59 | |||
| Depth Estimation (SP) | 612 | 612 | 100.0% |
| AZW U59 | |||
| AZW U59 | |||
| Depth Estimation (HP) | 320 | 320 | 100.0% |
| AZW U59 | |||
| AZW U59 | |||
| Depth Estimation (Q) | 946 | 946 | 100.0% |
| AZW U59 | |||
| AZW U59 | |||
| Style Transfer (SP) | 1068 | 1068 | 100.0% |
| AZW U59 | |||
| AZW U59 | |||
| Style Transfer (HP) | 905 | 905 | 100.0% |
| AZW U59 | |||
| AZW U59 | |||
| Style Transfer (Q) | 1795 | 1795 | 100.0% |
| AZW U59 | |||
| AZW U59 | |||
| Image Super-Resolution (SP) | 255 | 255 | 100.0% |
| AZW U59 | |||
| AZW U59 | |||
| Image Super-Resolution (HP) | 187 | 187 | 100.0% |
| AZW U59 | |||
| AZW U59 | |||
| Image Super-Resolution (Q) | 446 | 446 | 100.0% |
| AZW U59 | |||
| AZW U59 | |||
| Text Classification (SP) | 234 | 234 | 100.0% |
| AZW U59 | |||
| AZW U59 | |||
| Text Classification (HP) | 150 | 150 | 100.0% |
| AZW U59 | |||
| AZW U59 | |||
| Text Classification (Q) | 181 | 181 | 100.0% |
| AZW U59 | |||
| AZW U59 | |||
| Machine Translation (SP) | 396 | 396 | 100.0% |
| AZW U59 | |||
| AZW U59 | |||
| Machine Translation (HP) | 159 | 159 | 100.0% |
| AZW U59 | |||
| AZW U59 | |||
| Machine Translation (Q) | 421 | 421 | 100.0% |
| AZW U59 | |||
| AZW U59 | |||
