Generic vs Generic
| Generic | Generic | Difference | |
|---|---|---|---|
| Single Precision | 363 | 363 | 100.0% |
| Generic | |||
| Generic | |||
| Half Precision | 273 | 273 | 100.0% |
| Generic | |||
| Generic | |||
| Quantized | 645 | 645 | 100.0% |
| Generic | |||
| Generic | |||
| Geekbench AI 1.2.0 | Geekbench AI 1.2.0 | ||
System Information
| Generic | Generic | |
|---|---|---|
| AI Framework | ONNX | ONNX |
| AI Backend | CPU | CPU |
| AI Device | Intel Pentium G4560 | Intel Pentium G4560 |
| Operating System | Microsoft Windows 10 Enterprise (64-bit) | Microsoft Windows 10 Enterprise (64-bit) |
| Model | Generic | Generic |
| Processor |
Intel Pentium G4560 @ 3.41 GHz
1 Processor, 2 Cores, 4 Threads |
Intel Pentium G4560 @ 3.41 GHz
1 Processor, 2 Cores, 4 Threads |
| Processor ID | GenuineIntel Family 6 Model 158 Stepping 9 | GenuineIntel Family 6 Model 158 Stepping 9 |
| Processor Codename | ||
| Processor Package | ||
| Motherboard | ASRock Z170M OC Formula | ASRock Z170M OC Formula |
| Northbridge | ||
| Southbridge | ||
| BIOS | American Megatrends Inc. L7.51G | American Megatrends Inc. L7.51G |
| Memory | 16.00 GB | 16.00 GB |
AI Performance
| Generic | Generic | Difference | |
|---|---|---|---|
| Image Classification (SP) | 224 | 224 | 100.0% |
| Generic | |||
| Generic | |||
| Image Classification (HP) | 134 | 134 | 100.0% |
| Generic | |||
| Generic | |||
| Image Classification (Q) | 468 | 468 | 100.0% |
| Generic | |||
| Generic | |||
| Image Segmentation (SP) | 237 | 237 | 100.0% |
| Generic | |||
| Generic | |||
| Image Segmentation (HP) | 196 | 196 | 100.0% |
| Generic | |||
| Generic | |||
| Image Segmentation (Q) | 408 | 408 | 100.0% |
| Generic | |||
| Generic | |||
| Pose Estimation (SP) | 368 | 368 | 100.0% |
| Generic | |||
| Generic | |||
| Pose Estimation (HP) | 357 | 357 | 100.0% |
| Generic | |||
| Generic | |||
| Pose Estimation (Q) | 911 | 911 | 100.0% |
| Generic | |||
| Generic | |||
| Object Detection (SP) | 211 | 211 | 100.0% |
| Generic | |||
| Generic | |||
| Object Detection (HP) | 144 | 144 | 100.0% |
| Generic | |||
| Generic | |||
| Object Detection (Q) | 331 | 331 | 100.0% |
| Generic | |||
| Generic | |||
| Face Detection (SP) | 661 | 661 | 100.0% |
| Generic | |||
| Generic | |||
| Face Detection (HP) | 409 | 409 | 100.0% |
| Generic | |||
| Generic | |||
| Face Detection (Q) | 1047 | 1047 | 100.0% |
| Generic | |||
| Generic | |||
| Depth Estimation (SP) | 522 | 522 | 100.0% |
| Generic | |||
| Generic | |||
| Depth Estimation (HP) | 388 | 388 | 100.0% |
| Generic | |||
| Generic | |||
| Depth Estimation (Q) | 996 | 996 | 100.0% |
| Generic | |||
| Generic | |||
| Style Transfer (SP) | 1012 | 1012 | 100.0% |
| Generic | |||
| Generic | |||
| Style Transfer (HP) | 998 | 998 | 100.0% |
| Generic | |||
| Generic | |||
| Style Transfer (Q) | 2089 | 2089 | 100.0% |
| Generic | |||
| Generic | |||
| Image Super-Resolution (SP) | 227 | 227 | 100.0% |
| Generic | |||
| Generic | |||
| Image Super-Resolution (HP) | 215 | 215 | 100.0% |
| Generic | |||
| Generic | |||
| Image Super-Resolution (Q) | 496 | 496 | 100.0% |
| Generic | |||
| Generic | |||
| Text Classification (SP) | 264 | 264 | 100.0% |
| Generic | |||
| Generic | |||
| Text Classification (HP) | 208 | 208 | 100.0% |
| Generic | |||
| Generic | |||
| Text Classification (Q) | 272 | 272 | 100.0% |
| Generic | |||
| Generic | |||
| Machine Translation (SP) | 461 | 461 | 100.0% |
| Generic | |||
| Generic | |||
| Machine Translation (HP) | 244 | 244 | 100.0% |
| Generic | |||
| Generic | |||
| Machine Translation (Q) | 741 | 741 | 100.0% |
| Generic | |||
| Generic | |||
