GPD G1622-01 vs GPD G1622-01
| GPD G1622-01 | GPD G1622-01 | Difference | |
|---|---|---|---|
| Single Precision | 2753 | 2753 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Half Precision | 1437 | 1437 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Quantized | 4687 | 4687 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Geekbench AI 1.1.0 | Geekbench AI 1.1.0 | ||
System Information
| GPD G1622-01 | GPD G1622-01 | |
|---|---|---|
| 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 (64-bit) | Microsoft Windows 11 (64-bit) |
| Model | GPD G1622-01 | GPD G1622-01 |
| Processor |
AMD Ryzen AI 9 HX 370 w/ Radeon 890M @ 2.00 GHz
1 Processor, 12 Cores, 24 Threads |
AMD Ryzen AI 9 HX 370 w/ Radeon 890M @ 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 | GPD G1622-01 | GPD G1622-01 |
| Northbridge | ||
| Southbridge | ||
| BIOS | American Megatrends International, LLC. 1.14 | American Megatrends International, LLC. 1.14 |
| Memory | 64.00 GB | 64.00 GB |
AI Performance
| GPD G1622-01 | GPD G1622-01 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 1352 | 1352 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Image Classification (HP) | 489 | 489 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Image Classification (Q) | 3398 | 3398 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Image Segmentation (SP) | 845 | 845 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Image Segmentation (HP) | 748 | 748 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Image Segmentation (Q) | 3049 | 3049 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Pose Estimation (SP) | 8296 | 8296 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Pose Estimation (HP) | 6253 | 6253 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Pose Estimation (Q) | 28915 | 28915 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Object Detection (SP) | 1708 | 1708 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Object Detection (HP) | 603 | 603 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Object Detection (Q) | 1762 | 1762 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Face Detection (SP) | 3087 | 3087 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Face Detection (HP) | 1426 | 1426 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Face Detection (Q) | 5926 | 5926 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Depth Estimation (SP) | 6144 | 6144 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Depth Estimation (HP) | 2411 | 2411 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Depth Estimation (Q) | 6164 | 6164 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Style Transfer (SP) | 15773 | 15773 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Style Transfer (HP) | 14476 | 14476 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Style Transfer (Q) | 31669 | 31669 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Image Super-Resolution (SP) | 2233 | 2233 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Image Super-Resolution (HP) | 2007 | 2007 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Image Super-Resolution (Q) | 3798 | 3798 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Text Classification (SP) | 1307 | 1307 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Text Classification (HP) | 567 | 567 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Text Classification (Q) | 1466 | 1466 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Machine Translation (SP) | 1771 | 1771 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Machine Translation (HP) | 481 | 481 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Machine Translation (Q) | 1506 | 1506 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
