GPD G1622-01 | GPD G1622-01 | Difference | |
---|---|---|---|
Single Precision | 2804 | 2804 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Half Precision | 1495 | 1495 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Quantized | 4861 | 4861 | 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 | 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 |
GPD G1622-01 | GPD G1622-01 | Difference | |
---|---|---|---|
Image Classification (SP) | 1387 | 1387 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Image Classification (HP) | 470 | 470 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Image Classification (Q) | 3586 | 3586 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Image Segmentation (SP) | 927 | 927 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Image Segmentation (HP) | 729 | 729 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Image Segmentation (Q) | 3074 | 3074 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Pose Estimation (SP) | 8136 | 8136 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Pose Estimation (HP) | 6208 | 6208 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Pose Estimation (Q) | 28105 | 28105 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Object Detection (SP) | 1617 | 1617 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Object Detection (HP) | 621 | 621 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Object Detection (Q) | 1811 | 1811 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Face Detection (SP) | 3002 | 3002 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Face Detection (HP) | 1424 | 1424 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Face Detection (Q) | 5756 | 5756 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Depth Estimation (SP) | 6129 | 6129 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Depth Estimation (HP) | 2435 | 2435 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Depth Estimation (Q) | 6000 | 6000 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Style Transfer (SP) | 15588 | 15588 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Style Transfer (HP) | 15155 | 15155 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Style Transfer (Q) | 31095 | 31095 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Image Super-Resolution (SP) | 2164 | 2164 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Image Super-Resolution (HP) | 2004 | 2004 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Image Super-Resolution (Q) | 3687 | 3687 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Text Classification (SP) | 1348 | 1348 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Text Classification (HP) | 616 | 616 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Text Classification (Q) | 1313 | 1313 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Machine Translation (SP) | 2129 | 2129 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Machine Translation (HP) | 653 | 653 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Machine Translation (Q) | 2530 | 2530 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 |