Generic vs Generic
| Generic | Generic | Difference | |
|---|---|---|---|
| Single Precision | 2434 | 2434 | 100.0% |
| Generic | |||
| Generic | |||
| Half Precision | 1035 | 1035 | 100.0% |
| Generic | |||
| Generic | |||
| Quantized | 3534 | 3534 | 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 Core i9-9900KF | Intel Core i9-9900KF |
| Operating System | Microsoft Windows 11 Home (64-bit) | Microsoft Windows 11 Home (64-bit) |
| Model | Generic | Generic |
| Processor |
Intel Core i9-9900KF @ 3.60 GHz
1 Processor, 8 Cores, 16 Threads |
Intel Core i9-9900KF @ 3.60 GHz
1 Processor, 8 Cores, 16 Threads |
| Processor ID | GenuineIntel Family 6 Model 158 Stepping 13 | GenuineIntel Family 6 Model 158 Stepping 13 |
| Processor Codename | ||
| Processor Package | ||
| Motherboard | ASRock B365 Phantom Gaming 4 | ASRock B365 Phantom Gaming 4 |
| Northbridge | ||
| Southbridge | ||
| BIOS | American Megatrends Inc. P4.40 | American Megatrends Inc. P4.40 |
| Memory | 64.00 GB | 64.00 GB |
AI Performance
| Generic | Generic | Difference | |
|---|---|---|---|
| Image Classification (SP) | 1700 | 1700 | 100.0% |
| Generic | |||
| Generic | |||
| Image Classification (HP) | 334 | 334 | 100.0% |
| Generic | |||
| Generic | |||
| Image Classification (Q) | 2776 | 2776 | 100.0% |
| Generic | |||
| Generic | |||
| Image Segmentation (SP) | 1041 | 1041 | 100.0% |
| Generic | |||
| Generic | |||
| Image Segmentation (HP) | 570 | 570 | 100.0% |
| Generic | |||
| Generic | |||
| Image Segmentation (Q) | 2005 | 2005 | 100.0% |
| Generic | |||
| Generic | |||
| Pose Estimation (SP) | 3981 | 3981 | 100.0% |
| Generic | |||
| Generic | |||
| Pose Estimation (HP) | 3394 | 3394 | 100.0% |
| Generic | |||
| Generic | |||
| Pose Estimation (Q) | 9202 | 9202 | 100.0% |
| Generic | |||
| Generic | |||
| Object Detection (SP) | 1710 | 1710 | 100.0% |
| Generic | |||
| Generic | |||
| Object Detection (HP) | 464 | 464 | 100.0% |
| Generic | |||
| Generic | |||
| Object Detection (Q) | 2208 | 2208 | 100.0% |
| Generic | |||
| Generic | |||
| Face Detection (SP) | 2958 | 2958 | 100.0% |
| Generic | |||
| Generic | |||
| Face Detection (HP) | 954 | 954 | 100.0% |
| Generic | |||
| Generic | |||
| Face Detection (Q) | 6367 | 6367 | 100.0% |
| Generic | |||
| Generic | |||
| Depth Estimation (SP) | 6504 | 6504 | 100.0% |
| Generic | |||
| Generic | |||
| Depth Estimation (HP) | 1421 | 1421 | 100.0% |
| Generic | |||
| Generic | |||
| Depth Estimation (Q) | 7343 | 7343 | 100.0% |
| Generic | |||
| Generic | |||
| Style Transfer (SP) | 9483 | 9483 | 100.0% |
| Generic | |||
| Generic | |||
| Style Transfer (HP) | 7218 | 7218 | 100.0% |
| Generic | |||
| Generic | |||
| Style Transfer (Q) | 13418 | 13418 | 100.0% |
| Generic | |||
| Generic | |||
| Image Super-Resolution (SP) | 1985 | 1985 | 100.0% |
| Generic | |||
| Generic | |||
| Image Super-Resolution (HP) | 1388 | 1388 | 100.0% |
| Generic | |||
| Generic | |||
| Image Super-Resolution (Q) | 2259 | 2259 | 100.0% |
| Generic | |||
| Generic | |||
| Text Classification (SP) | 1212 | 1212 | 100.0% |
| Generic | |||
| Generic | |||
| Text Classification (HP) | 607 | 607 | 100.0% |
| Generic | |||
| Generic | |||
| Text Classification (Q) | 1107 | 1107 | 100.0% |
| Generic | |||
| Generic | |||
| Machine Translation (SP) | 1385 | 1385 | 100.0% |
| Generic | |||
| Generic | |||
| Machine Translation (HP) | 574 | 574 | 100.0% |
| Generic | |||
| Generic | |||
| Machine Translation (Q) | 1717 | 1717 | 100.0% |
| Generic | |||
| Generic | |||
