AZW SER9 vs AZW SER9
| AZW SER9 | AZW SER9 | Difference | |
|---|---|---|---|
| Single Precision | 139 | 139 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Half Precision | 139 | 139 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Quantized | 98 | 98 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Geekbench AI 1.3.0 | Geekbench AI 1.3.0 | ||
System Information
| AZW SER9 | AZW SER9 | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| 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 | Fedora Linux 42 (Workstation Edition) | Fedora Linux 42 (Workstation Edition) |
| Model | AZW SER9 | AZW SER9 |
| Processor |
AMD Ryzen AI 9 HX 370 @ 5.16 GHz
1 Processor, 12 Cores, 24 Threads |
AMD Ryzen AI 9 HX 370 @ 5.16 GHz
1 Processor, 12 Cores, 24 Threads |
| Processor ID | AuthenticAMD Family 26 Model 36 Stepping 0 | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Motherboard | AZW SER9 | AZW SER9 |
| BIOS | American Megatrends International, LLC. STX.3xx.SER9.V103.P8C0M0C15.73.Link.SCPC | American Megatrends International, LLC. STX.3xx.SER9.V103.P8C0M0C15.73.Link.SCPC |
| Memory | 27.00 GB | 27.00 GB |
AI Performance
| AZW SER9 | AZW SER9 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 84 | 84 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Image Classification (HP) | 82 | 82 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Image Classification (Q) | 62 | 62 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Image Segmentation (SP) | 111 | 111 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Image Segmentation (HP) | 111 | 111 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Image Segmentation (Q) | 81 | 81 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Pose Estimation (SP) | 132 | 132 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Pose Estimation (HP) | 131 | 131 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Pose Estimation (Q) | 103 | 103 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Object Detection (SP) | 78 | 78 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Object Detection (HP) | 78 | 78 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Object Detection (Q) | 58 | 58 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Face Detection (SP) | 265 | 265 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Face Detection (HP) | 266 | 266 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Face Detection (Q) | 196 | 196 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Depth Estimation (SP) | 187 | 187 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Depth Estimation (HP) | 187 | 187 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Depth Estimation (Q) | 119 | 119 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Style Transfer (SP) | 395 | 395 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Style Transfer (HP) | 396 | 396 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Style Transfer (Q) | 310 | 310 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Image Super-Resolution (SP) | 85 | 85 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Image Super-Resolution (HP) | 85 | 85 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Image Super-Resolution (Q) | 65 | 65 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Text Classification (SP) | 101 | 101 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Text Classification (HP) | 100 | 100 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Text Classification (Q) | 71 | 71 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Machine Translation (SP) | 177 | 177 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Machine Translation (HP) | 176 | 176 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Machine Translation (Q) | 83 | 83 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
