AZW SER9 vs AZW SER9
| AZW SER9 | AZW SER9 | Difference | |
|---|---|---|---|
| Single Precision | 3403 | 3403 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Half Precision | 1459 | 1459 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Quantized | 6437 | 6437 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Geekbench AI 1.3.0 | Geekbench AI 1.3.0 | ||
System Information
| AZW SER9 | AZW SER9 | |
|---|---|---|
| AI Framework | ONNX | ONNX |
| AI Backend | CPU | CPU |
| AI Device | AMD Ryzen AI 9 HX 370 w/ Radeon 890M | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| Operating System | Microsoft Windows 11 Pro (64-bit) | Microsoft Windows 11 Pro (64-bit) |
| Model | AZW SER9 | AZW SER9 |
| Processor |
AMD Ryzen AI 9 HX 370 @ 2.00 GHz
1 Processor, 12 Cores, 24 Threads |
AMD Ryzen AI 9 HX 370 @ 2.00 GHz
1 Processor, 12 Cores, 24 Threads |
| Processor ID | AuthenticAMD Family 26 Model 36 Stepping 0 | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Processor Codename | ||
| Processor Package | ||
| Motherboard | AZW SER9 | AZW SER9 |
| Northbridge | ||
| Southbridge | ||
| BIOS | American Megatrends International, LLC. SER9T302 | American Megatrends International, LLC. SER9T302 |
| Memory | 64.00 GB | 64.00 GB |
AI Performance
| AZW SER9 | AZW SER9 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 2488 | 2488 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Image Classification (HP) | 477 | 477 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Image Classification (Q) | 6935 | 6935 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Image Segmentation (SP) | 949 | 949 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Image Segmentation (HP) | 734 | 734 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Image Segmentation (Q) | 3147 | 3147 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Pose Estimation (SP) | 7375 | 7375 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Pose Estimation (HP) | 5770 | 5770 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Pose Estimation (Q) | 26876 | 26876 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Object Detection (SP) | 2561 | 2561 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Object Detection (HP) | 616 | 616 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Object Detection (Q) | 7385 | 7385 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Face Detection (SP) | 5678 | 5678 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Face Detection (HP) | 1355 | 1355 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Face Detection (Q) | 10291 | 10291 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Depth Estimation (SP) | 7675 | 7675 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Depth Estimation (HP) | 2391 | 2391 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Depth Estimation (Q) | 7359 | 7359 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Style Transfer (SP) | 16573 | 16573 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Style Transfer (HP) | 14595 | 14595 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Style Transfer (Q) | 32124 | 32124 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Image Super-Resolution (SP) | 2224 | 2224 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Image Super-Resolution (HP) | 1991 | 1991 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Image Super-Resolution (Q) | 3364 | 3364 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Text Classification (SP) | 1398 | 1398 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Text Classification (HP) | 605 | 605 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Text Classification (Q) | 1254 | 1254 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Machine Translation (SP) | 2081 | 2081 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Machine Translation (HP) | 620 | 620 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Machine Translation (Q) | 2751 | 2751 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
