Generic vs Generic
| Generic | Generic | Difference | |
|---|---|---|---|
| Single Precision | 3181 | 3181 | 100.0% |
| Generic | |||
| Generic | |||
| Half Precision | 3164 | 3164 | 100.0% |
| Generic | |||
| Generic | |||
| Quantized | 5724 | 5724 | 100.0% |
| Generic | |||
| Generic | |||
| Geekbench AI 1.3.0 Corporate | Geekbench AI 1.3.0 Corporate | ||
System Information
| Generic | Generic | |
|---|---|---|
| AI Framework | OpenVINO | OpenVINO |
| AI Backend | CPU | CPU |
| AI Device | AMD Ryzen 5 5600G with Radeon Graphics | AMD Ryzen 5 5600G with Radeon Graphics |
| Operating System | Microsoft Windows 10 LTSC (64-bit) | Microsoft Windows 10 LTSC (64-bit) |
| Model | Generic | Generic |
| Processor |
AMD Ryzen 5 5600G @ 3.90 GHz
1 Processor, 6 Cores, 12 Threads |
AMD Ryzen 5 5600G @ 3.90 GHz
1 Processor, 6 Cores, 12 Threads |
| Processor ID | AuthenticAMD Family 25 Model 80 Stepping 0 | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Processor Codename | ||
| Processor Package | ||
| Motherboard | ASRock X300M-STX | ASRock X300M-STX |
| Northbridge | ||
| Southbridge | ||
| BIOS | American Megatrends International, LLC. P2.10 | American Megatrends International, LLC. P2.10 |
| Memory | 32.00 GB | 32.00 GB |
AI Performance
| Generic | Generic | Difference | |
|---|---|---|---|
| Image Classification (SP) | 1975 | 1975 | 100.0% |
| Generic | |||
| Generic | |||
| Image Classification (HP) | 1983 | 1983 | 100.0% |
| Generic | |||
| Generic | |||
| Image Classification (Q) | 3759 | 3759 | 100.0% |
| Generic | |||
| Generic | |||
| Image Segmentation (SP) | 2170 | 2170 | 100.0% |
| Generic | |||
| Generic | |||
| Image Segmentation (HP) | 2191 | 2191 | 100.0% |
| Generic | |||
| Generic | |||
| Image Segmentation (Q) | 4019 | 4019 | 100.0% |
| Generic | |||
| Generic | |||
| Pose Estimation (SP) | 4028 | 4028 | 100.0% |
| Generic | |||
| Generic | |||
| Pose Estimation (HP) | 3808 | 3808 | 100.0% |
| Generic | |||
| Generic | |||
| Pose Estimation (Q) | 9776 | 9776 | 100.0% |
| Generic | |||
| Generic | |||
| Object Detection (SP) | 1924 | 1924 | 100.0% |
| Generic | |||
| Generic | |||
| Object Detection (HP) | 1876 | 1876 | 100.0% |
| Generic | |||
| Generic | |||
| Object Detection (Q) | 3893 | 3893 | 100.0% |
| Generic | |||
| Generic | |||
| Face Detection (SP) | 3403 | 3403 | 100.0% |
| Generic | |||
| Generic | |||
| Face Detection (HP) | 3356 | 3356 | 100.0% |
| Generic | |||
| Generic | |||
| Face Detection (Q) | 10382 | 10382 | 100.0% |
| Generic | |||
| Generic | |||
| Depth Estimation (SP) | 5085 | 5085 | 100.0% |
| Generic | |||
| Generic | |||
| Depth Estimation (HP) | 5057 | 5057 | 100.0% |
| Generic | |||
| Generic | |||
| Depth Estimation (Q) | 10075 | 10075 | 100.0% |
| Generic | |||
| Generic | |||
| Style Transfer (SP) | 11857 | 11857 | 100.0% |
| Generic | |||
| Generic | |||
| Style Transfer (HP) | 11885 | 11885 | 100.0% |
| Generic | |||
| Generic | |||
| Style Transfer (Q) | 27882 | 27882 | 100.0% |
| Generic | |||
| Generic | |||
| Image Super-Resolution (SP) | 2319 | 2319 | 100.0% |
| Generic | |||
| Generic | |||
| Image Super-Resolution (HP) | 2344 | 2344 | 100.0% |
| Generic | |||
| Generic | |||
| Image Super-Resolution (Q) | 5724 | 5724 | 100.0% |
| Generic | |||
| Generic | |||
| Text Classification (SP) | 2128 | 2128 | 100.0% |
| Generic | |||
| Generic | |||
| Text Classification (HP) | 2188 | 2188 | 100.0% |
| Generic | |||
| Generic | |||
| Text Classification (Q) | 1328 | 1328 | 100.0% |
| Generic | |||
| Generic | |||
| Machine Translation (SP) | 3164 | 3164 | 100.0% |
| Generic | |||
| Generic | |||
| Machine Translation (HP) | 3137 | 3137 | 100.0% |
| Generic | |||
| Generic | |||
| Machine Translation (Q) | 2965 | 2965 | 100.0% |
| Generic | |||
| Generic | |||
