GPD G1622-01 | GPD G1622-01 | Difference | |
---|---|---|---|
Single Precision | 7743 | 7743 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Half Precision | 11726 | 11726 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Quantized | 5589 | 5589 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Geekbench AI 1.1.0 | Geekbench AI 1.1.0 |
GPD G1622-01 | GPD G1622-01 | |
---|---|---|
AI Framework | ONNX | ONNX |
AI Backend | DirectML | DirectML |
AI Device | AMD Radeon(TM) 890M Graphics | AMD Radeon(TM) 890M Graphics |
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 |
GPD G1622-01 | GPD G1622-01 | Difference | |
---|---|---|---|
Image Classification (SP) | 2235 | 2235 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Image Classification (HP) | 4821 | 4821 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Image Classification (Q) | 1971 | 1971 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Image Segmentation (SP) | 4600 | 4600 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Image Segmentation (HP) | 5777 | 5777 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Image Segmentation (Q) | 3814 | 3814 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Pose Estimation (SP) | 46874 | 46874 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Pose Estimation (HP) | 76939 | 76939 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Pose Estimation (Q) | 33569 | 33569 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Object Detection (SP) | 2277 | 2277 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Object Detection (HP) | 2966 | 2966 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Object Detection (Q) | 1892 | 1892 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Face Detection (SP) | 6115 | 6115 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Face Detection (HP) | 11250 | 11250 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Face Detection (Q) | 4815 | 4815 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Depth Estimation (SP) | 18266 | 18266 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Depth Estimation (HP) | 26797 | 26797 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Depth Estimation (Q) | 13053 | 13053 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Style Transfer (SP) | 74418 | 74418 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Style Transfer (HP) | 119167 | 119167 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Style Transfer (Q) | 50461 | 50461 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Image Super-Resolution (SP) | 11074 | 11074 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Image Super-Resolution (HP) | 20189 | 20189 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Image Super-Resolution (Q) | 8411 | 8411 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Text Classification (SP) | 2582 | 2582 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Text Classification (HP) | 2790 | 2790 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Text Classification (Q) | 1869 | 1869 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Machine Translation (SP) | 2973 | 2973 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Machine Translation (HP) | 3823 | 3823 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Machine Translation (Q) | 1251 | 1251 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 |