Generic vs Generic
| Generic | Generic | Difference | |
|---|---|---|---|
| Single Precision | 352 | 352 | 100.0% |
| Generic | |||
| Generic | |||
| Half Precision | 352 | 352 | 100.0% |
| Generic | |||
| Generic | |||
| Quantized | 1045 | 1045 | 100.0% |
| Generic | |||
| Generic | |||
| Geekbench AI 1.2.0 | Geekbench AI 1.2.0 | ||
System Information
| Generic | Generic | |
|---|---|---|
| AI Framework | OpenVINO | OpenVINO |
| AI Backend | CPU | CPU |
| AI Device | Intel(R) Pentium(R) CPU G4400 @ 3.30GHz | Intel(R) Pentium(R) CPU G4400 @ 3.30GHz |
| Operating System | Microsoft Windows 10 Enterprise (64-bit) | Microsoft Windows 10 Enterprise (64-bit) |
| Model | Generic | Generic |
| Processor |
Intel Pentium G4400 @ 2.21 GHz
1 Processor, 2 Cores |
Intel Pentium G4400 @ 2.21 GHz
1 Processor, 2 Cores |
| Processor ID | GenuineIntel Family 6 Model 94 Stepping 3 | GenuineIntel Family 6 Model 94 Stepping 3 |
| Processor Codename | ||
| Processor Package | ||
| Motherboard | ASRock Z170M OC Formula | ASRock Z170M OC Formula |
| Northbridge | ||
| Southbridge | ||
| BIOS | American Megatrends Inc. L1.31 | American Megatrends Inc. L1.31 |
| Memory | 16.00 GB | 16.00 GB |
AI Performance
| Generic | Generic | Difference | |
|---|---|---|---|
| Image Classification (SP) | 206 | 206 | 100.0% |
| Generic | |||
| Generic | |||
| Image Classification (HP) | 205 | 205 | 100.0% |
| Generic | |||
| Generic | |||
| Image Classification (Q) | 750 | 750 | 100.0% |
| Generic | |||
| Generic | |||
| Image Segmentation (SP) | 267 | 267 | 100.0% |
| Generic | |||
| Generic | |||
| Image Segmentation (HP) | 267 | 267 | 100.0% |
| Generic | |||
| Generic | |||
| Image Segmentation (Q) | 853 | 853 | 100.0% |
| Generic | |||
| Generic | |||
| Pose Estimation (SP) | 326 | 326 | 100.0% |
| Generic | |||
| Generic | |||
| Pose Estimation (HP) | 326 | 326 | 100.0% |
| Generic | |||
| Generic | |||
| Pose Estimation (Q) | 1279 | 1279 | 100.0% |
| Generic | |||
| Generic | |||
| Object Detection (SP) | 196 | 196 | 100.0% |
| Generic | |||
| Generic | |||
| Object Detection (HP) | 196 | 196 | 100.0% |
| Generic | |||
| Generic | |||
| Object Detection (Q) | 741 | 741 | 100.0% |
| Generic | |||
| Generic | |||
| Face Detection (SP) | 693 | 693 | 100.0% |
| Generic | |||
| Generic | |||
| Face Detection (HP) | 693 | 693 | 100.0% |
| Generic | |||
| Generic | |||
| Face Detection (Q) | 1877 | 1877 | 100.0% |
| Generic | |||
| Generic | |||
| Depth Estimation (SP) | 489 | 489 | 100.0% |
| Generic | |||
| Generic | |||
| Depth Estimation (HP) | 488 | 488 | 100.0% |
| Generic | |||
| Generic | |||
| Depth Estimation (Q) | 1662 | 1662 | 100.0% |
| Generic | |||
| Generic | |||
| Style Transfer (SP) | 930 | 930 | 100.0% |
| Generic | |||
| Generic | |||
| Style Transfer (HP) | 934 | 934 | 100.0% |
| Generic | |||
| Generic | |||
| Style Transfer (Q) | 4072 | 4072 | 100.0% |
| Generic | |||
| Generic | |||
| Image Super-Resolution (SP) | 213 | 213 | 100.0% |
| Generic | |||
| Generic | |||
| Image Super-Resolution (HP) | 213 | 213 | 100.0% |
| Generic | |||
| Generic | |||
| Image Super-Resolution (Q) | 798 | 798 | 100.0% |
| Generic | |||
| Generic | |||
| Text Classification (SP) | 309 | 309 | 100.0% |
| Generic | |||
| Generic | |||
| Text Classification (HP) | 310 | 310 | 100.0% |
| Generic | |||
| Generic | |||
| Text Classification (Q) | 629 | 629 | 100.0% |
| Generic | |||
| Generic | |||
| Machine Translation (SP) | 407 | 407 | 100.0% |
| Generic | |||
| Generic | |||
| Machine Translation (HP) | 407 | 407 | 100.0% |
| Generic | |||
| Generic | |||
| Machine Translation (Q) | 403 | 403 | 100.0% |
| Generic | |||
| Generic | |||
