AZW SER vs AZW SER
| AZW SER | AZW SER | Difference | |
|---|---|---|---|
| Single Precision | 1650 | 1650 | 100.0% |
| AZW SER | |||
| AZW SER | |||
| Half Precision | 822 | 822 | 100.0% |
| AZW SER | |||
| AZW SER | |||
| Quantized | 2186 | 2186 | 100.0% |
| AZW SER | |||
| AZW SER | |||
| Geekbench AI 1.5.0 | Geekbench AI 1.5.0 | ||
System Information
| AZW SER | AZW SER | |
|---|---|---|
| AI Framework | ONNX | ONNX |
| AI Backend | CPU | CPU |
| AI Device | AMD Ryzen 5 5500U | AMD Ryzen 5 5500U |
| Operating System | Microsoft Windows 11 Pro (64-bit) | Microsoft Windows 11 Pro (64-bit) |
| Model | AZW SER | AZW SER |
| Processor |
AMD Ryzen 5 5500U @ 2.10 GHz
1 Processor, 6 Cores, 12 Threads |
AMD Ryzen 5 5500U @ 2.10 GHz
1 Processor, 6 Cores, 12 Threads |
| Processor ID | AuthenticAMD Family 23 Model 104 Stepping 1 | AuthenticAMD Family 23 Model 104 Stepping 1 |
| Processor Codename | ||
| Processor Package | ||
| Motherboard | AZW SER | AZW SER |
| Northbridge | ||
| Southbridge | ||
| BIOS | American Megatrends International, LLC. FP655U508 | American Megatrends International, LLC. FP655U508 |
| Memory | 32.00 GB | 32.00 GB |
AI Performance
| AZW SER | AZW SER | Difference | |
|---|---|---|---|
| Image Classification (SP) | 1588 | 1588 | 100.0% |
| AZW SER | |||
| AZW SER | |||
| Image Classification (HP) | 386 | 386 | 100.0% |
| AZW SER | |||
| AZW SER | |||
| Image Classification (Q) | 1961 | 1961 | 100.0% |
| AZW SER | |||
| AZW SER | |||
| Image Segmentation (SP) | 500 | 500 | 100.0% |
| AZW SER | |||
| AZW SER | |||
| Image Segmentation (HP) | 411 | 411 | 100.0% |
| AZW SER | |||
| AZW SER | |||
| Image Segmentation (Q) | 2347 | 2347 | 100.0% |
| AZW SER | |||
| AZW SER | |||
| Pose Estimation (SP) | 3031 | 3031 | 100.0% |
| AZW SER | |||
| AZW SER | |||
| Pose Estimation (HP) | 2663 | 2663 | 100.0% |
| AZW SER | |||
| AZW SER | |||
| Pose Estimation (Q) | 4413 | 4413 | 100.0% |
| AZW SER | |||
| AZW SER | |||
| Object Detection (SP) | 1612 | 1612 | 100.0% |
| AZW SER | |||
| AZW SER | |||
| Object Detection (HP) | 498 | 498 | 100.0% |
| AZW SER | |||
| AZW SER | |||
| Object Detection (Q) | 1411 | 1411 | 100.0% |
| AZW SER | |||
| AZW SER | |||
| Face Detection (SP) | 2490 | 2490 | 100.0% |
| AZW SER | |||
| AZW SER | |||
| Face Detection (HP) | 874 | 874 | 100.0% |
| AZW SER | |||
| AZW SER | |||
| Face Detection (Q) | 3568 | 3568 | 100.0% |
| AZW SER | |||
| AZW SER | |||
| Depth Estimation (SP) | 3076 | 3076 | 100.0% |
| AZW SER | |||
| AZW SER | |||
| Depth Estimation (HP) | 1096 | 1096 | 100.0% |
| AZW SER | |||
| AZW SER | |||
| Depth Estimation (Q) | 4094 | 4094 | 100.0% |
| AZW SER | |||
| AZW SER | |||
| Style Transfer (SP) | 5488 | 5488 | 100.0% |
| AZW SER | |||
| AZW SER | |||
| Style Transfer (HP) | 4385 | 4385 | 100.0% |
| AZW SER | |||
| AZW SER | |||
| Style Transfer (Q) | 5735 | 5735 | 100.0% |
| AZW SER | |||
| AZW SER | |||
| Image Super-Resolution (SP) | 1044 | 1044 | 100.0% |
| AZW SER | |||
| AZW SER | |||
| Image Super-Resolution (HP) | 862 | 862 | 100.0% |
| AZW SER | |||
| AZW SER | |||
| Image Super-Resolution (Q) | 1326 | 1326 | 100.0% |
| AZW SER | |||
| AZW SER | |||
| Text Classification (SP) | 897 | 897 | 100.0% |
| AZW SER | |||
| AZW SER | |||
| Text Classification (HP) | 400 | 400 | 100.0% |
| AZW SER | |||
| AZW SER | |||
| Text Classification (Q) | 657 | 657 | 100.0% |
| AZW SER | |||
| AZW SER | |||
| Machine Translation (SP) | 982 | 982 | 100.0% |
| AZW SER | |||
| AZW SER | |||
| Machine Translation (HP) | 465 | 465 | 100.0% |
| AZW SER | |||
| AZW SER | |||
| Machine Translation (Q) | 1196 | 1196 | 100.0% |
| AZW SER | |||
| AZW SER | |||
