Generic vs Generic
| Generic | Generic | Difference | |
|---|---|---|---|
| Single Precision | 2649 | 2649 | 100.0% |
| Generic | |||
| Generic | |||
| Half Precision | 2646 | 2646 | 100.0% |
| Generic | |||
| Generic | |||
| Quantized | 2811 | 2811 | 100.0% |
| Generic | |||
| Generic | |||
| Geekbench AI 1.6.0 | Geekbench AI 1.6.0 | ||
System Information
| Generic | Generic | |
|---|---|---|
| AI Framework | OpenVINO | OpenVINO |
| AI Backend | CPU | CPU |
| AI Device | AMD Ryzen 3 3300X 4-Core Processor | AMD Ryzen 3 3300X 4-Core Processor |
| Operating System | Microsoft Windows 11 Pro (64-bit) | Microsoft Windows 11 Pro (64-bit) |
| Model | Generic | Generic |
| Processor |
AMD Ryzen 3 3300X @ 3.80 GHz
1 Processor, 4 Cores, 8 Threads |
AMD Ryzen 3 3300X @ 3.80 GHz
1 Processor, 4 Cores, 8 Threads |
| Processor ID | AuthenticAMD Family 23 Model 113 Stepping 0 | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Processor Codename | ||
| Processor Package | ||
| Motherboard | ASRock B450M Pro4 R2.0 | ASRock B450M Pro4 R2.0 |
| Northbridge | ||
| Southbridge | ||
| BIOS | American Megatrends Inc. P10.20 | American Megatrends Inc. P10.20 |
| Memory | 32.00 GB | 32.00 GB |
AI Performance
| Generic | Generic | Difference | |
|---|---|---|---|
| Image Classification (SP) | 1776 | 1776 | 100.0% |
| Generic | |||
| Generic | |||
| Image Classification (HP) | 1786 | 1786 | 100.0% |
| Generic | |||
| Generic | |||
| Image Classification (Q) | 1916 | 1916 | 100.0% |
| Generic | |||
| Generic | |||
| Image Segmentation (SP) | 702 | 702 | 100.0% |
| Generic | |||
| Generic | |||
| Image Segmentation (HP) | 701 | 701 | 100.0% |
| Generic | |||
| Generic | |||
| Image Segmentation (Q) | 1236 | 1236 | 100.0% |
| Generic | |||
| Generic | |||
| Pose Estimation (SP) | 3446 | 3446 | 100.0% |
| Generic | |||
| Generic | |||
| Pose Estimation (HP) | 3460 | 3460 | 100.0% |
| Generic | |||
| Generic | |||
| Pose Estimation (Q) | 3779 | 3779 | 100.0% |
| Generic | |||
| Generic | |||
| Object Detection (SP) | 1796 | 1796 | 100.0% |
| Generic | |||
| Generic | |||
| Object Detection (HP) | 1795 | 1795 | 100.0% |
| Generic | |||
| Generic | |||
| Object Detection (Q) | 1898 | 1898 | 100.0% |
| Generic | |||
| Generic | |||
| Face Detection (SP) | 3670 | 3670 | 100.0% |
| Generic | |||
| Generic | |||
| Face Detection (HP) | 3656 | 3656 | 100.0% |
| Generic | |||
| Generic | |||
| Face Detection (Q) | 5702 | 5702 | 100.0% |
| Generic | |||
| Generic | |||
| Depth Estimation (SP) | 4748 | 4748 | 100.0% |
| Generic | |||
| Generic | |||
| Depth Estimation (HP) | 4709 | 4709 | 100.0% |
| Generic | |||
| Generic | |||
| Depth Estimation (Q) | 4800 | 4800 | 100.0% |
| Generic | |||
| Generic | |||
| Style Transfer (SP) | 9829 | 9829 | 100.0% |
| Generic | |||
| Generic | |||
| Style Transfer (HP) | 9856 | 9856 | 100.0% |
| Generic | |||
| Generic | |||
| Style Transfer (Q) | 10973 | 10973 | 100.0% |
| Generic | |||
| Generic | |||
| Image Super-Resolution (SP) | 2133 | 2133 | 100.0% |
| Generic | |||
| Generic | |||
| Image Super-Resolution (HP) | 2140 | 2140 | 100.0% |
| Generic | |||
| Generic | |||
| Image Super-Resolution (Q) | 2344 | 2344 | 100.0% |
| Generic | |||
| Generic | |||
| Text Classification (SP) | 2030 | 2030 | 100.0% |
| Generic | |||
| Generic | |||
| Text Classification (HP) | 2031 | 2031 | 100.0% |
| Generic | |||
| Generic | |||
| Text Classification (Q) | 891 | 891 | 100.0% |
| Generic | |||
| Generic | |||
| Machine Translation (SP) | 2981 | 2981 | 100.0% |
| Generic | |||
| Generic | |||
| Machine Translation (HP) | 2940 | 2940 | 100.0% |
| Generic | |||
| Generic | |||
| Machine Translation (Q) | 2892 | 2892 | 100.0% |
| Generic | |||
| Generic | |||
