GPD G1622-01 vs GPD G1622-01
| GPD G1622-01 | GPD G1622-01 | Difference | |
|---|---|---|---|
| Single Precision | 2810 | 2810 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Half Precision | 1482 | 1482 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Quantized | 4877 | 4877 | 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) | 1377 | 1377 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Image Classification (HP) | 457 | 457 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Image Classification (Q) | 3711 | 3711 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Image Segmentation (SP) | 886 | 886 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Image Segmentation (HP) | 743 | 743 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Image Segmentation (Q) | 3130 | 3130 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Pose Estimation (SP) | 8302 | 8302 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Pose Estimation (HP) | 6213 | 6213 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Pose Estimation (Q) | 28527 | 28527 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Object Detection (SP) | 1605 | 1605 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Object Detection (HP) | 606 | 606 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Object Detection (Q) | 1762 | 1762 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Face Detection (SP) | 3159 | 3159 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Face Detection (HP) | 1336 | 1336 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Face Detection (Q) | 5948 | 5948 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Depth Estimation (SP) | 6177 | 6177 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Depth Estimation (HP) | 2403 | 2403 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Depth Estimation (Q) | 6058 | 6058 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Style Transfer (SP) | 15626 | 15626 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Style Transfer (HP) | 15091 | 15091 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Style Transfer (Q) | 30170 | 30170 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Image Super-Resolution (SP) | 2225 | 2225 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Image Super-Resolution (HP) | 2083 | 2083 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Image Super-Resolution (Q) | 3612 | 3612 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Text Classification (SP) | 1416 | 1416 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Text Classification (HP) | 640 | 640 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Text Classification (Q) | 1276 | 1276 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Machine Translation (SP) | 1967 | 1967 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Machine Translation (HP) | 619 | 619 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
| Machine Translation (Q) | 2603 | 2603 | 100.0% |
| GPD G1622-01 | |||
| GPD G1622-01 | |||
