AZW SER9 vs AZW SER9
| AZW SER9 | AZW SER9 | Difference | |
|---|---|---|---|
| Single Precision | 135 | 135 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Half Precision | 135 | 135 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Quantized | 102 | 102 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Geekbench AI 1.2.0 | Geekbench AI 1.2.0 | ||
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 | Debian GNU/Linux 12 (bookworm) | Debian GNU/Linux 12 (bookworm) |
| 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.P8C0M0C15.55.Link.GID.90 | American Megatrends International, LLC. STX.3xx.SER9.V103.P8C0M0C15.55.Link.GID.90 |
| Memory | 23.08 GB | 23.08 GB |
AI Performance
| AZW SER9 | AZW SER9 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 79 | 79 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Image Classification (HP) | 79 | 79 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Image Classification (Q) | 64 | 64 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Image Segmentation (SP) | 108 | 108 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Image Segmentation (HP) | 108 | 108 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Image Segmentation (Q) | 84 | 84 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Pose Estimation (SP) | 129 | 129 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Pose Estimation (HP) | 128 | 128 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Pose Estimation (Q) | 108 | 108 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Object Detection (SP) | 76 | 76 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Object Detection (HP) | 75 | 75 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Object Detection (Q) | 61 | 61 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Face Detection (SP) | 258 | 258 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Face Detection (HP) | 256 | 256 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Face Detection (Q) | 202 | 202 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Depth Estimation (SP) | 182 | 182 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Depth Estimation (HP) | 182 | 182 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Depth Estimation (Q) | 125 | 125 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Style Transfer (SP) | 388 | 388 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Style Transfer (HP) | 388 | 388 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Style Transfer (Q) | 325 | 325 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Image Super-Resolution (SP) | 83 | 83 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Image Super-Resolution (HP) | 83 | 83 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Image Super-Resolution (Q) | 68 | 68 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Text Classification (SP) | 99 | 99 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Text Classification (HP) | 99 | 99 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Text Classification (Q) | 74 | 74 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Machine Translation (SP) | 172 | 172 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Machine Translation (HP) | 172 | 172 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
| Machine Translation (Q) | 88 | 88 | 100.0% |
| AZW SER9 | |||
| AZW SER9 | |||
