si-ONNX-IrisXe vs si-ONNX-IrisXe
| si-ONNX-IrisXe | si-ONNX-IrisXe | Difference | |
|---|---|---|---|
| Single Precision | 2733 | 2733 | 100.0% |
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| si-ONNX-IrisXe | |||
| Half Precision | 2714 | 2714 | 100.0% |
| si-ONNX-IrisXe | |||
| si-ONNX-IrisXe | |||
| Quantized | 1711 | 1711 | 100.0% |
| si-ONNX-IrisXe | |||
| si-ONNX-IrisXe | |||
| Geekbench AI 1.4.0 | Geekbench AI 1.4.0 | ||
System Information
| si-ONNX-IrisXe | si-ONNX-IrisXe | |
|---|---|---|
| AI Framework | ONNX | ONNX |
| AI Backend | DirectML | DirectML |
| AI Device | Intel(R) Iris(R) Xe Graphics | Intel(R) Iris(R) Xe Graphics |
| Operating System | Microsoft Windows 11 Home (64-bit) | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 82Y1 | LENOVO 82Y1 |
| Processor |
Intel Core i7-1355U @ 1.70 GHz
1 Processor, 10 Cores, 12 Threads |
Intel Core i7-1355U @ 1.70 GHz
1 Processor, 10 Cores, 12 Threads |
| Processor ID | GenuineIntel Family 6 Model 186 Stepping 3 | GenuineIntel Family 6 Model 186 Stepping 3 |
| Processor Codename | ||
| Processor Package | ||
| Motherboard | LENOVO LNVNB161216 | LENOVO LNVNB161216 |
| Northbridge | ||
| Southbridge | ||
| BIOS | LENOVO L6CN28WW | LENOVO L6CN28WW |
| Memory | 16.00 GB | 16.00 GB |
AI Performance
| si-ONNX-IrisXe | si-ONNX-IrisXe | Difference | |
|---|---|---|---|
| Image Classification (SP) | 1125 | 1125 | 100.0% |
| si-ONNX-IrisXe | |||
| si-ONNX-IrisXe | |||
| Image Classification (HP) | 1084 | 1084 | 100.0% |
| si-ONNX-IrisXe | |||
| si-ONNX-IrisXe | |||
| Image Classification (Q) | 916 | 916 | 100.0% |
| si-ONNX-IrisXe | |||
| si-ONNX-IrisXe | |||
| Image Segmentation (SP) | 1853 | 1853 | 100.0% |
| si-ONNX-IrisXe | |||
| si-ONNX-IrisXe | |||
| Image Segmentation (HP) | 2055 | 2055 | 100.0% |
| si-ONNX-IrisXe | |||
| si-ONNX-IrisXe | |||
| Image Segmentation (Q) | 1322 | 1322 | 100.0% |
| si-ONNX-IrisXe | |||
| si-ONNX-IrisXe | |||
| Pose Estimation (SP) | 11297 | 11297 | 100.0% |
| si-ONNX-IrisXe | |||
| si-ONNX-IrisXe | |||
| Pose Estimation (HP) | 11438 | 11438 | 100.0% |
| si-ONNX-IrisXe | |||
| si-ONNX-IrisXe | |||
| Pose Estimation (Q) | 5677 | 5677 | 100.0% |
| si-ONNX-IrisXe | |||
| si-ONNX-IrisXe | |||
| Object Detection (SP) | 1306 | 1306 | 100.0% |
| si-ONNX-IrisXe | |||
| si-ONNX-IrisXe | |||
| Object Detection (HP) | 1178 | 1178 | 100.0% |
| si-ONNX-IrisXe | |||
| si-ONNX-IrisXe | |||
| Object Detection (Q) | 1091 | 1091 | 100.0% |
| si-ONNX-IrisXe | |||
| si-ONNX-IrisXe | |||
| Face Detection (SP) | 2662 | 2662 | 100.0% |
| si-ONNX-IrisXe | |||
| si-ONNX-IrisXe | |||
| Face Detection (HP) | 3122 | 3122 | 100.0% |
| si-ONNX-IrisXe | |||
| si-ONNX-IrisXe | |||
| Face Detection (Q) | 1961 | 1961 | 100.0% |
| si-ONNX-IrisXe | |||
| si-ONNX-IrisXe | |||
| Depth Estimation (SP) | 5542 | 5542 | 100.0% |
| si-ONNX-IrisXe | |||
| si-ONNX-IrisXe | |||
| Depth Estimation (HP) | 5977 | 5977 | 100.0% |
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| si-ONNX-IrisXe | |||
| Depth Estimation (Q) | 3845 | 3845 | 100.0% |
| si-ONNX-IrisXe | |||
| si-ONNX-IrisXe | |||
| Style Transfer (SP) | 24192 | 24192 | 100.0% |
| si-ONNX-IrisXe | |||
| si-ONNX-IrisXe | |||
| Style Transfer (HP) | 29540 | 29540 | 100.0% |
| si-ONNX-IrisXe | |||
| si-ONNX-IrisXe | |||
| Style Transfer (Q) | 14804 | 14804 | 100.0% |
| si-ONNX-IrisXe | |||
| si-ONNX-IrisXe | |||
| Image Super-Resolution (SP) | 3166 | 3166 | 100.0% |
| si-ONNX-IrisXe | |||
| si-ONNX-IrisXe | |||
| Image Super-Resolution (HP) | 3795 | 3795 | 100.0% |
| si-ONNX-IrisXe | |||
| si-ONNX-IrisXe | |||
| Image Super-Resolution (Q) | 1384 | 1384 | 100.0% |
| si-ONNX-IrisXe | |||
| si-ONNX-IrisXe | |||
| Text Classification (SP) | 708 | 708 | 100.0% |
| si-ONNX-IrisXe | |||
| si-ONNX-IrisXe | |||
| Text Classification (HP) | 379 | 379 | 100.0% |
| si-ONNX-IrisXe | |||
| si-ONNX-IrisXe | |||
| Text Classification (Q) | 403 | 403 | 100.0% |
| si-ONNX-IrisXe | |||
| si-ONNX-IrisXe | |||
| Machine Translation (SP) | 948 | 948 | 100.0% |
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| Machine Translation (HP) | 912 | 912 | 100.0% |
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| Machine Translation (Q) | 461 | 461 | 100.0% |
| si-ONNX-IrisXe | |||
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