MF2 vs MF2
| MF2 | MF2 | Difference | |
|---|---|---|---|
| Single Precision | 6130 | 6130 | 100.0% |
| MF2 | |||
| MF2 | |||
| Half Precision | 5956 | 5956 | 100.0% |
| MF2 | |||
| MF2 | |||
| Quantized | 17404 | 17404 | 100.0% |
| MF2 | |||
| MF2 | |||
| Geekbench AI 1.4.0 Pro | Geekbench AI 1.4.0 Pro | ||
System Information
| MF2 | MF2 | |
|---|---|---|
| AI Framework | OpenVINO | OpenVINO |
| AI Backend | CPU | CPU |
| AI Device | AMD Ryzen 7 7840HS w/ Radeon 780M Graphics | AMD Ryzen 7 7840HS w/ Radeon 780M Graphics |
| Operating System | Microsoft Windows 11 Enterprise (64-bit) | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Micro Computer (HK) Tech Limited Venus series | Micro Computer (HK) Tech Limited Venus series |
| Processor |
AMD Ryzen 7 7840HS @ 3.80 GHz
1 Processor, 8 Cores, 16 Threads |
AMD Ryzen 7 7840HS @ 3.80 GHz
1 Processor, 8 Cores, 16 Threads |
| Processor ID | AuthenticAMD Family 25 Model 116 Stepping 1 | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Processor Codename | ||
| Processor Package | ||
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd F7BSD | Shenzhen Meigao Electronic Equipment Co.,Ltd F7BSD |
| Northbridge | ||
| Southbridge | ||
| BIOS | American Megatrends International, LLC. 1.04 | American Megatrends International, LLC. 1.04 |
| Memory | 64.00 GB | 64.00 GB |
AI Performance
| MF2 | MF2 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 3588 | 3588 | 100.0% |
| MF2 | |||
| MF2 | |||
| Image Classification (HP) | 4088 | 4088 | 100.0% |
| MF2 | |||
| MF2 | |||
| Image Classification (Q) | 11668 | 11668 | 100.0% |
| MF2 | |||
| MF2 | |||
| Image Segmentation (SP) | 4488 | 4488 | 100.0% |
| MF2 | |||
| MF2 | |||
| Image Segmentation (HP) | 3378 | 3378 | 100.0% |
| MF2 | |||
| MF2 | |||
| Image Segmentation (Q) | 12564 | 12564 | 100.0% |
| MF2 | |||
| MF2 | |||
| Pose Estimation (SP) | 8071 | 8071 | 100.0% |
| MF2 | |||
| MF2 | |||
| Pose Estimation (HP) | 8083 | 8083 | 100.0% |
| MF2 | |||
| MF2 | |||
| Pose Estimation (Q) | 32471 | 32471 | 100.0% |
| MF2 | |||
| MF2 | |||
| Object Detection (SP) | 3180 | 3180 | 100.0% |
| MF2 | |||
| MF2 | |||
| Object Detection (HP) | 3623 | 3623 | 100.0% |
| MF2 | |||
| MF2 | |||
| Object Detection (Q) | 11842 | 11842 | 100.0% |
| MF2 | |||
| MF2 | |||
| Face Detection (SP) | 7473 | 7473 | 100.0% |
| MF2 | |||
| MF2 | |||
| Face Detection (HP) | 7035 | 7035 | 100.0% |
| MF2 | |||
| MF2 | |||
| Face Detection (Q) | 25329 | 25329 | 100.0% |
| MF2 | |||
| MF2 | |||
| Depth Estimation (SP) | 9420 | 9420 | 100.0% |
| MF2 | |||
| MF2 | |||
| Depth Estimation (HP) | 9654 | 9654 | 100.0% |
| MF2 | |||
| MF2 | |||
| Depth Estimation (Q) | 29806 | 29806 | 100.0% |
| MF2 | |||
| MF2 | |||
| Style Transfer (SP) | 22298 | 22298 | 100.0% |
| MF2 | |||
| MF2 | |||
| Style Transfer (HP) | 22529 | 22529 | 100.0% |
| MF2 | |||
| MF2 | |||
| Style Transfer (Q) | 83004 | 83004 | 100.0% |
| MF2 | |||
| MF2 | |||
| Image Super-Resolution (SP) | 4840 | 4840 | 100.0% |
| MF2 | |||
| MF2 | |||
| Image Super-Resolution (HP) | 4725 | 4725 | 100.0% |
| MF2 | |||
| MF2 | |||
| Image Super-Resolution (Q) | 16279 | 16279 | 100.0% |
| MF2 | |||
| MF2 | |||
| Text Classification (SP) | 4074 | 4074 | 100.0% |
| MF2 | |||
| MF2 | |||
| Text Classification (HP) | 3957 | 3957 | 100.0% |
| MF2 | |||
| MF2 | |||
| Text Classification (Q) | 6003 | 6003 | 100.0% |
| MF2 | |||
| MF2 | |||
| Machine Translation (SP) | 5861 | 5861 | 100.0% |
| MF2 | |||
| MF2 | |||
| Machine Translation (HP) | 4861 | 4861 | 100.0% |
| MF2 | |||
| MF2 | |||
| Machine Translation (Q) | 7389 | 7389 | 100.0% |
| MF2 | |||
| MF2 | |||
