AZW SER9-pve vs AZW SER9-pve
| AZW SER9-pve | AZW SER9-pve | Difference | |
|---|---|---|---|
| Single Precision | 136 | 136 | 100.0% |
| AZW SER9-pve | |||
| AZW SER9-pve | |||
| Half Precision | 136 | 136 | 100.0% |
| AZW SER9-pve | |||
| AZW SER9-pve | |||
| Quantized | 95 | 95 | 100.0% |
| AZW SER9-pve | |||
| AZW SER9-pve | |||
| Geekbench AI 1.3.0 | Geekbench AI 1.3.0 | ||
System Information
| AZW SER9-pve | AZW SER9-pve | |
|---|---|---|
| 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 w/ Radeon 890M @ 4.37 GHz
1 Processor, 12 Cores, 24 Threads |
AMD Ryzen AI 9 HX 370 w/ Radeon 890M @ 4.37 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. SER9T201 | American Megatrends International, LLC. SER9T201 |
| Memory | 23.03 GB | 23.03 GB |
AI Performance
| AZW SER9-pve | AZW SER9-pve | Difference | |
|---|---|---|---|
| Image Classification (SP) | 80 | 80 | 100.0% |
| AZW SER9-pve | |||
| AZW SER9-pve | |||
| Image Classification (HP) | 80 | 80 | 100.0% |
| AZW SER9-pve | |||
| AZW SER9-pve | |||
| Image Classification (Q) | 60 | 60 | 100.0% |
| AZW SER9-pve | |||
| AZW SER9-pve | |||
| Image Segmentation (SP) | 109 | 109 | 100.0% |
| AZW SER9-pve | |||
| AZW SER9-pve | |||
| Image Segmentation (HP) | 109 | 109 | 100.0% |
| AZW SER9-pve | |||
| AZW SER9-pve | |||
| Image Segmentation (Q) | 78 | 78 | 100.0% |
| AZW SER9-pve | |||
| AZW SER9-pve | |||
| Pose Estimation (SP) | 129 | 129 | 100.0% |
| AZW SER9-pve | |||
| AZW SER9-pve | |||
| Pose Estimation (HP) | 129 | 129 | 100.0% |
| AZW SER9-pve | |||
| AZW SER9-pve | |||
| Pose Estimation (Q) | 100 | 100 | 100.0% |
| AZW SER9-pve | |||
| AZW SER9-pve | |||
| Object Detection (SP) | 76 | 76 | 100.0% |
| AZW SER9-pve | |||
| AZW SER9-pve | |||
| Object Detection (HP) | 76 | 76 | 100.0% |
| AZW SER9-pve | |||
| AZW SER9-pve | |||
| Object Detection (Q) | 57 | 57 | 100.0% |
| AZW SER9-pve | |||
| AZW SER9-pve | |||
| Face Detection (SP) | 262 | 262 | 100.0% |
| AZW SER9-pve | |||
| AZW SER9-pve | |||
| Face Detection (HP) | 262 | 262 | 100.0% |
| AZW SER9-pve | |||
| AZW SER9-pve | |||
| Face Detection (Q) | 188 | 188 | 100.0% |
| AZW SER9-pve | |||
| AZW SER9-pve | |||
| Depth Estimation (SP) | 182 | 182 | 100.0% |
| AZW SER9-pve | |||
| AZW SER9-pve | |||
| Depth Estimation (HP) | 183 | 183 | 100.0% |
| AZW SER9-pve | |||
| AZW SER9-pve | |||
| Depth Estimation (Q) | 116 | 116 | 100.0% |
| AZW SER9-pve | |||
| AZW SER9-pve | |||
| Style Transfer (SP) | 387 | 387 | 100.0% |
| AZW SER9-pve | |||
| AZW SER9-pve | |||
| Style Transfer (HP) | 388 | 388 | 100.0% |
| AZW SER9-pve | |||
| AZW SER9-pve | |||
| Style Transfer (Q) | 302 | 302 | 100.0% |
| AZW SER9-pve | |||
| AZW SER9-pve | |||
| Image Super-Resolution (SP) | 83 | 83 | 100.0% |
| AZW SER9-pve | |||
| AZW SER9-pve | |||
| Image Super-Resolution (HP) | 83 | 83 | 100.0% |
| AZW SER9-pve | |||
| AZW SER9-pve | |||
| Image Super-Resolution (Q) | 63 | 63 | 100.0% |
| AZW SER9-pve | |||
| AZW SER9-pve | |||
| Text Classification (SP) | 100 | 100 | 100.0% |
| AZW SER9-pve | |||
| AZW SER9-pve | |||
| Text Classification (HP) | 100 | 100 | 100.0% |
| AZW SER9-pve | |||
| AZW SER9-pve | |||
| Text Classification (Q) | 70 | 70 | 100.0% |
| AZW SER9-pve | |||
| AZW SER9-pve | |||
| Machine Translation (SP) | 172 | 172 | 100.0% |
| AZW SER9-pve | |||
| AZW SER9-pve | |||
| Machine Translation (HP) | 173 | 173 | 100.0% |
| AZW SER9-pve | |||
| AZW SER9-pve | |||
| Machine Translation (Q) | 83 | 83 | 100.0% |
| AZW SER9-pve | |||
| AZW SER9-pve | |||
