Generic vs Generic
| Generic | Generic | Difference | |
|---|---|---|---|
| Single Precision | 2963 | 2963 | 100.0% |
| Generic | |||
| Generic | |||
| Half Precision | 1110 | 1110 | 100.0% |
| Generic | |||
| Generic | |||
| Quantized | 2624 | 2624 | 100.0% |
| Generic | |||
| Generic | |||
| Geekbench AI 1.5.0 | Geekbench AI 1.5.0 | ||
System Information
| Generic | Generic | |
|---|---|---|
| AI Framework | ONNX | ONNX |
| AI Backend | CPU | CPU |
| AI Device | Intel Core i7-5960X | Intel Core i7-5960X |
| Operating System | Microsoft Windows 10 Pro (64-bit) | Microsoft Windows 10 Pro (64-bit) |
| Model | Generic | Generic |
| Processor |
Intel Core i7-5960X @ 2.80 GHz
1 Processor, 8 Cores, 16 Threads |
Intel Core i7-5960X @ 2.80 GHz
1 Processor, 8 Cores, 16 Threads |
| Processor ID | GenuineIntel Family 6 Model 63 Stepping 2 | GenuineIntel Family 6 Model 63 Stepping 2 |
| Processor Codename | ||
| Processor Package | ||
| Motherboard | ASRock X99 OC Formula | ASRock X99 OC Formula |
| Northbridge | ||
| Southbridge | ||
| BIOS | American Megatrends Inc. P3.40 | American Megatrends Inc. P3.40 |
| Memory | 32.00 GB | 32.00 GB |
AI Performance
| Generic | Generic | Difference | |
|---|---|---|---|
| Image Classification (SP) | 2324 | 2324 | 100.0% |
| Generic | |||
| Generic | |||
| Image Classification (HP) | 375 | 375 | 100.0% |
| Generic | |||
| Generic | |||
| Image Classification (Q) | 2398 | 2398 | 100.0% |
| Generic | |||
| Generic | |||
| Image Segmentation (SP) | 1352 | 1352 | 100.0% |
| Generic | |||
| Generic | |||
| Image Segmentation (HP) | 605 | 605 | 100.0% |
| Generic | |||
| Generic | |||
| Image Segmentation (Q) | 2312 | 2312 | 100.0% |
| Generic | |||
| Generic | |||
| Pose Estimation (SP) | 5191 | 5191 | 100.0% |
| Generic | |||
| Generic | |||
| Pose Estimation (HP) | 3652 | 3652 | 100.0% |
| Generic | |||
| Generic | |||
| Pose Estimation (Q) | 5574 | 5574 | 100.0% |
| Generic | |||
| Generic | |||
| Object Detection (SP) | 2334 | 2334 | 100.0% |
| Generic | |||
| Generic | |||
| Object Detection (HP) | 494 | 494 | 100.0% |
| Generic | |||
| Generic | |||
| Object Detection (Q) | 1447 | 1447 | 100.0% |
| Generic | |||
| Generic | |||
| Face Detection (SP) | 4800 | 4800 | 100.0% |
| Generic | |||
| Generic | |||
| Face Detection (HP) | 1115 | 1115 | 100.0% |
| Generic | |||
| Generic | |||
| Face Detection (Q) | 4722 | 4722 | 100.0% |
| Generic | |||
| Generic | |||
| Depth Estimation (SP) | 6580 | 6580 | 100.0% |
| Generic | |||
| Generic | |||
| Depth Estimation (HP) | 1507 | 1507 | 100.0% |
| Generic | |||
| Generic | |||
| Depth Estimation (Q) | 5816 | 5816 | 100.0% |
| Generic | |||
| Generic | |||
| Style Transfer (SP) | 11798 | 11798 | 100.0% |
| Generic | |||
| Generic | |||
| Style Transfer (HP) | 9195 | 9195 | 100.0% |
| Generic | |||
| Generic | |||
| Style Transfer (Q) | 9847 | 9847 | 100.0% |
| Generic | |||
| Generic | |||
| Image Super-Resolution (SP) | 1911 | 1911 | 100.0% |
| Generic | |||
| Generic | |||
| Image Super-Resolution (HP) | 1535 | 1535 | 100.0% |
| Generic | |||
| Generic | |||
| Image Super-Resolution (Q) | 2348 | 2348 | 100.0% |
| Generic | |||
| Generic | |||
| Text Classification (SP) | 1218 | 1218 | 100.0% |
| Generic | |||
| Generic | |||
| Text Classification (HP) | 562 | 562 | 100.0% |
| Generic | |||
| Generic | |||
| Text Classification (Q) | 362 | 362 | 100.0% |
| Generic | |||
| Generic | |||
| Machine Translation (SP) | 1581 | 1581 | 100.0% |
| Generic | |||
| Generic | |||
| Machine Translation (HP) | 524 | 524 | 100.0% |
| Generic | |||
| Generic | |||
| Machine Translation (Q) | 1506 | 1506 | 100.0% |
| Generic | |||
| Generic | |||
