GPD G1622-01 | GPD G1622-01 | Difference | |
---|---|---|---|
Single Precision | 4819 | 4819 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Half Precision | 4813 | 4813 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Quantized | 11991 | 11991 | 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 | OpenVINO | OpenVINO |
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) | 2822 | 2822 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Image Classification (HP) | 2745 | 2745 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Image Classification (Q) | 7164 | 7164 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Image Segmentation (SP) | 2265 | 2265 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Image Segmentation (HP) | 2221 | 2221 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Image Segmentation (Q) | 6782 | 6782 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Pose Estimation (SP) | 8238 | 8238 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Pose Estimation (HP) | 8251 | 8251 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Pose Estimation (Q) | 29022 | 29022 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Object Detection (SP) | 2747 | 2747 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Object Detection (HP) | 2777 | 2777 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Object Detection (Q) | 7963 | 7963 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Face Detection (SP) | 8329 | 8329 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Face Detection (HP) | 8227 | 8227 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Face Detection (Q) | 20540 | 20540 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Depth Estimation (SP) | 8310 | 8310 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Depth Estimation (HP) | 8374 | 8374 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Depth Estimation (Q) | 20725 | 20725 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Style Transfer (SP) | 19579 | 19579 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Style Transfer (HP) | 20529 | 20529 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Style Transfer (Q) | 72682 | 72682 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Image Super-Resolution (SP) | 4023 | 4023 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Image Super-Resolution (HP) | 3944 | 3944 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Image Super-Resolution (Q) | 12871 | 12871 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Text Classification (SP) | 2455 | 2455 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Text Classification (HP) | 2460 | 2460 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Text Classification (Q) | 3147 | 3147 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Machine Translation (SP) | 3494 | 3494 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Machine Translation (HP) | 3480 | 3480 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 | |||
Machine Translation (Q) | 4370 | 4370 | 100.0% |
GPD G1622-01 | |||
GPD G1622-01 |