GPD G1622-01 | GPD G1622-01 | Difference | |
---|---|---|---|
Single Precision | 2824 | 2824 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Half Precision | 1467 | 1467 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Quantized | 4806 | 4806 | 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) | 1336 | 1336 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Image Classification (HP) | 469 | 469 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Image Classification (Q) | 3193 | 3193 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Image Segmentation (SP) | 914 | 914 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Image Segmentation (HP) | 715 | 715 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Image Segmentation (Q) | 3062 | 3062 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Pose Estimation (SP) | 8159 | 8159 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Pose Estimation (HP) | 6216 | 6216 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Pose Estimation (Q) | 28142 | 28142 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Object Detection (SP) | 1623 | 1623 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Object Detection (HP) | 584 | 584 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Object Detection (Q) | 1833 | 1833 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Face Detection (SP) | 3142 | 3142 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Face Detection (HP) | 1353 | 1353 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Face Detection (Q) | 5696 | 5696 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Depth Estimation (SP) | 6207 | 6207 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Depth Estimation (HP) | 2403 | 2403 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Depth Estimation (Q) | 5956 | 5956 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Style Transfer (SP) | 15801 | 15801 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Style Transfer (HP) | 14579 | 14579 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Style Transfer (Q) | 30789 | 30789 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Image Super-Resolution (SP) | 2146 | 2146 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Image Super-Resolution (HP) | 2048 | 2048 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Image Super-Resolution (Q) | 3666 | 3666 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Text Classification (SP) | 1338 | 1338 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Text Classification (HP) | 609 | 609 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Text Classification (Q) | 1332 | 1332 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Machine Translation (SP) | 2261 | 2261 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Machine Translation (HP) | 644 | 644 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Machine Translation (Q) | 2560 | 2560 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 |