GPD G1622-01 vs GPD G1622-01
| GPD G1622-01 | GPD G1622-01 | Difference | |
|---|---|---|---|
| Single Precision | 2809 | 2809 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Half Precision | 1493 | 1493 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Quantized | 4812 | 4812 | 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) | 1278 | 1278 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Image Classification (HP) | 482 | 482 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Image Classification (Q) | 3821 | 3821 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Image Segmentation (SP) | 1018 | 1018 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Image Segmentation (HP) | 719 | 719 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Image Segmentation (Q) | 3072 | 3072 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Pose Estimation (SP) | 8167 | 8167 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Pose Estimation (HP) | 6307 | 6307 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Pose Estimation (Q) | 28724 | 28724 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Object Detection (SP) | 1623 | 1623 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Object Detection (HP) | 616 | 616 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Object Detection (Q) | 1733 | 1733 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Face Detection (SP) | 3041 | 3041 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Face Detection (HP) | 1348 | 1348 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Face Detection (Q) | 5270 | 5270 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Depth Estimation (SP) | 6115 | 6115 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Depth Estimation (HP) | 2424 | 2424 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Depth Estimation (Q) | 6001 | 6001 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Style Transfer (SP) | 15529 | 15529 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Style Transfer (HP) | 15428 | 15428 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Style Transfer (Q) | 30468 | 30468 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Image Super-Resolution (SP) | 2178 | 2178 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Image Super-Resolution (HP) | 2017 | 2017 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Image Super-Resolution (Q) | 3608 | 3608 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Text Classification (SP) | 1332 | 1332 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Text Classification (HP) | 622 | 622 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Text Classification (Q) | 1332 | 1332 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Machine Translation (SP) | 2123 | 2123 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Machine Translation (HP) | 648 | 648 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Machine Translation (Q) | 2465 | 2465 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
