DERE v9max vs DERE v9max
| DERE v9max | DERE v9max | Difference | |
|---|---|---|---|
| Single Precision | 3128 | 3128 | 100.0% |
| DERE v9max | |||
| DERE v9max | |||
| Half Precision | 3925 | 3925 | 100.0% |
| DERE v9max | |||
| DERE v9max | |||
| Quantized | 8010 | 8010 | 100.0% |
| DERE v9max | |||
| DERE v9max | |||
| Geekbench AI 1.5.0 | Geekbench AI 1.5.0 | ||
System Information
| DERE v9max | DERE v9max | |
|---|---|---|
| AI Framework | OpenVINO | OpenVINO |
| AI Backend | GPU | GPU |
| AI Device | Intel(R) Iris(R) Xe Graphics (iGPU) | Intel(R) Iris(R) Xe Graphics (iGPU) |
| Operating System | Windows 10 Pro (64-bit) | Windows 10 Pro (64-bit) |
| Model | intel | intel |
| Processor |
Intel Core i7-1165G7 @ 2.80 GHz
1 Processor, 4 Cores, 8 Threads |
Intel Core i7-1165G7 @ 2.80 GHz
1 Processor, 4 Cores, 8 Threads |
| Processor ID | GenuineIntel Family 6 Model 140 Stepping 1 | GenuineIntel Family 6 Model 140 Stepping 1 |
| Processor Codename | ||
| Processor Package | ||
| Motherboard | ||
| Northbridge | ||
| Southbridge | ||
| BIOS | American Megatrends International, LLC. TN22V2.02 | American Megatrends International, LLC. TN22V2.02 |
| Memory | 16.00 GB | 16.00 GB |
AI Performance
| DERE v9max | DERE v9max | Difference | |
|---|---|---|---|
| Image Classification (SP) | 1827 | 1827 | 100.0% |
| DERE v9max | |||
| DERE v9max | |||
| Image Classification (HP) | 3356 | 3356 | 100.0% |
| DERE v9max | |||
| DERE v9max | |||
| Image Classification (Q) | 5641 | 5641 | 100.0% |
| DERE v9max | |||
| DERE v9max | |||
| Image Segmentation (SP) | 2430 | 2430 | 100.0% |
| DERE v9max | |||
| DERE v9max | |||
| Image Segmentation (HP) | 4797 | 4797 | 100.0% |
| DERE v9max | |||
| DERE v9max | |||
| Image Segmentation (Q) | 6061 | 6061 | 100.0% |
| DERE v9max | |||
| DERE v9max | |||
| Pose Estimation (SP) | 8210 | 8210 | 100.0% |
| DERE v9max | |||
| DERE v9max | |||
| Pose Estimation (HP) | 6569 | 6569 | 100.0% |
| DERE v9max | |||
| DERE v9max | |||
| Pose Estimation (Q) | 26695 | 26695 | 100.0% |
| DERE v9max | |||
| DERE v9max | |||
| Object Detection (SP) | 1958 | 1958 | 100.0% |
| DERE v9max | |||
| DERE v9max | |||
| Object Detection (HP) | 3036 | 3036 | 100.0% |
| DERE v9max | |||
| DERE v9max | |||
| Object Detection (Q) | 5161 | 5161 | 100.0% |
| DERE v9max | |||
| DERE v9max | |||
| Face Detection (SP) | 2885 | 2885 | 100.0% |
| DERE v9max | |||
| DERE v9max | |||
| Face Detection (HP) | 6405 | 6405 | 100.0% |
| DERE v9max | |||
| DERE v9max | |||
| Face Detection (Q) | 11529 | 11529 | 100.0% |
| DERE v9max | |||
| DERE v9max | |||
| Depth Estimation (SP) | 6724 | 6724 | 100.0% |
| DERE v9max | |||
| DERE v9max | |||
| Depth Estimation (HP) | 11648 | 11648 | 100.0% |
| DERE v9max | |||
| DERE v9max | |||
| Depth Estimation (Q) | 16510 | 16510 | 100.0% |
| DERE v9max | |||
| DERE v9max | |||
| Style Transfer (SP) | 19035 | 19035 | 100.0% |
| DERE v9max | |||
| DERE v9max | |||
| Style Transfer (HP) | 3070 | 3070 | 100.0% |
| DERE v9max | |||
| DERE v9max | |||
| Style Transfer (Q) | 63113 | 63113 | 100.0% |
| DERE v9max | |||
| DERE v9max | |||
| Image Super-Resolution (SP) | 3476 | 3476 | 100.0% |
| DERE v9max | |||
| DERE v9max | |||
| Image Super-Resolution (HP) | 5981 | 5981 | 100.0% |
| DERE v9max | |||
| DERE v9max | |||
| Image Super-Resolution (Q) | 10234 | 10234 | 100.0% |
| DERE v9max | |||
| DERE v9max | |||
| Text Classification (SP) | 1092 | 1092 | 100.0% |
| DERE v9max | |||
| DERE v9max | |||
| Text Classification (HP) | 1273 | 1273 | 100.0% |
| DERE v9max | |||
| DERE v9max | |||
| Text Classification (Q) | 1191 | 1191 | 100.0% |
| DERE v9max | |||
| DERE v9max | |||
| Machine Translation (SP) | 897 | 897 | 100.0% |
| DERE v9max | |||
| DERE v9max | |||
| Machine Translation (HP) | 1553 | 1553 | 100.0% |
| DERE v9max | |||
| DERE v9max | |||
| Machine Translation (Q) | 1578 | 1578 | 100.0% |
| DERE v9max | |||
| DERE v9max | |||
