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 |
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) | 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 |