MF2 vs MF2
| MF2 | MF2 | Difference | |
|---|---|---|---|
| Single Precision | 7993 | 7993 | 100.0% |
| MF2 | |||
| MF2 | |||
| Half Precision | 11787 | 11787 | 100.0% |
| MF2 | |||
| MF2 | |||
| Quantized | 5933 | 5933 | 100.0% |
| MF2 | |||
| MF2 | |||
| Geekbench AI 1.4.0 Pro | Geekbench AI 1.4.0 Pro | ||
System Information
| MF2 | MF2 | |
|---|---|---|
| AI Framework | ONNX | ONNX |
| AI Backend | DirectML | DirectML |
| AI Device | AMD Radeon 780M Graphics | AMD 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) | 3016 | 3016 | 100.0% |
| MF2 | |||
| MF2 | |||
| Image Classification (HP) | 4968 | 4968 | 100.0% |
| MF2 | |||
| MF2 | |||
| Image Classification (Q) | 2863 | 2863 | 100.0% |
| MF2 | |||
| MF2 | |||
| Image Segmentation (SP) | 3918 | 3918 | 100.0% |
| MF2 | |||
| MF2 | |||
| Image Segmentation (HP) | 4842 | 4842 | 100.0% |
| MF2 | |||
| MF2 | |||
| Image Segmentation (Q) | 3179 | 3179 | 100.0% |
| MF2 | |||
| MF2 | |||
| Pose Estimation (SP) | 40940 | 40940 | 100.0% |
| MF2 | |||
| MF2 | |||
| Pose Estimation (HP) | 77321 | 77321 | 100.0% |
| MF2 | |||
| MF2 | |||
| Pose Estimation (Q) | 29023 | 29023 | 100.0% |
| MF2 | |||
| MF2 | |||
| Object Detection (SP) | 2728 | 2728 | 100.0% |
| MF2 | |||
| MF2 | |||
| Object Detection (HP) | 3893 | 3893 | 100.0% |
| MF2 | |||
| MF2 | |||
| Object Detection (Q) | 2541 | 2541 | 100.0% |
| MF2 | |||
| MF2 | |||
| Face Detection (SP) | 5964 | 5964 | 100.0% |
| MF2 | |||
| MF2 | |||
| Face Detection (HP) | 11011 | 11011 | 100.0% |
| MF2 | |||
| MF2 | |||
| Face Detection (Q) | 4971 | 4971 | 100.0% |
| MF2 | |||
| MF2 | |||
| Depth Estimation (SP) | 17049 | 17049 | 100.0% |
| MF2 | |||
| MF2 | |||
| Depth Estimation (HP) | 26690 | 26690 | 100.0% |
| MF2 | |||
| MF2 | |||
| Depth Estimation (Q) | 13257 | 13257 | 100.0% |
| MF2 | |||
| MF2 | |||
| Style Transfer (SP) | 72280 | 72280 | 100.0% |
| MF2 | |||
| MF2 | |||
| Style Transfer (HP) | 118402 | 118402 | 100.0% |
| MF2 | |||
| MF2 | |||
| Style Transfer (Q) | 47331 | 47331 | 100.0% |
| MF2 | |||
| MF2 | |||
| Image Super-Resolution (SP) | 14300 | 14300 | 100.0% |
| MF2 | |||
| MF2 | |||
| Image Super-Resolution (HP) | 20542 | 20542 | 100.0% |
| MF2 | |||
| MF2 | |||
| Image Super-Resolution (Q) | 8695 | 8695 | 100.0% |
| MF2 | |||
| MF2 | |||
| Text Classification (SP) | 2363 | 2363 | 100.0% |
| MF2 | |||
| MF2 | |||
| Text Classification (HP) | 2732 | 2732 | 100.0% |
| MF2 | |||
| MF2 | |||
| Text Classification (Q) | 1691 | 1691 | 100.0% |
| MF2 | |||
| MF2 | |||
| Machine Translation (SP) | 3248 | 3248 | 100.0% |
| MF2 | |||
| MF2 | |||
| Machine Translation (HP) | 3661 | 3661 | 100.0% |
| MF2 | |||
| MF2 | |||
| Machine Translation (Q) | 1757 | 1757 | 100.0% |
| MF2 | |||
| MF2 | |||
