Red vs Red
| Red | Red | Difference | |
|---|---|---|---|
| Single Precision | 21102 | 21102 | 100.0% |
| Red | |||
| Red | |||
| Half Precision | 30247 | 30247 | 100.0% |
| Red | |||
| Red | |||
| Quantized | 16653 | 16653 | 100.0% |
| Red | |||
| Red | |||
| Geekbench AI 1.1.0 | Geekbench AI 1.1.0 | ||
System Information
| Red | Red | |
|---|---|---|
| AI Framework | ONNX | ONNX |
| AI Backend | DirectML | DirectML |
| AI Device | NVIDIA GeForce RTX 4070 | NVIDIA GeForce RTX 4070 |
| Operating System | Microsoft Windows 11 Enterprise (64-bit) | Microsoft Windows 11 Enterprise (64-bit) |
| Model | ASUS System Product Name | ASUS System Product Name |
| Processor |
AMD Ryzen Threadripper PRO 5965WX @ 3.80 GHz
1 Processor, 24 Cores, 48 Threads |
AMD Ryzen Threadripper PRO 5965WX @ 3.80 GHz
1 Processor, 24 Cores, 48 Threads |
| Processor ID | AuthenticAMD Family 25 Model 8 Stepping 2 | AuthenticAMD Family 25 Model 8 Stepping 2 |
| Processor Codename | ||
| Processor Package | ||
| Motherboard | ASUSTeK COMPUTER INC. Pro WS WRX80E-SAGE SE WIFI | ASUSTeK COMPUTER INC. Pro WS WRX80E-SAGE SE WIFI |
| Northbridge | ||
| Southbridge | ||
| BIOS | American Megatrends Inc. 1501 | American Megatrends Inc. 1501 |
| Memory | 256.00 GB | 256.00 GB |
AI Performance
| Red | Red | Difference | |
|---|---|---|---|
| Image Classification (SP) | 9131 | 9131 | 100.0% |
| Red | |||
| Red | |||
| Image Classification (HP) | 13056 | 13056 | 100.0% |
| Red | |||
| Red | |||
| Image Classification (Q) | 8024 | 8024 | 100.0% |
| Red | |||
| Red | |||
| Image Segmentation (SP) | 10548 | 10548 | 100.0% |
| Red | |||
| Red | |||
| Image Segmentation (HP) | 12258 | 12258 | 100.0% |
| Red | |||
| Red | |||
| Image Segmentation (Q) | 10089 | 10089 | 100.0% |
| Red | |||
| Red | |||
| Pose Estimation (SP) | 148598 | 148598 | 100.0% |
| Red | |||
| Red | |||
| Pose Estimation (HP) | 322627 | 322627 | 100.0% |
| Red | |||
| Red | |||
| Pose Estimation (Q) | 129802 | 129802 | 100.0% |
| Red | |||
| Red | |||
| Object Detection (SP) | 10663 | 10663 | 100.0% |
| Red | |||
| Red | |||
| Object Detection (HP) | 15437 | 15437 | 100.0% |
| Red | |||
| Red | |||
| Object Detection (Q) | 8886 | 8886 | 100.0% |
| Red | |||
| Red | |||
| Face Detection (SP) | 27291 | 27291 | 100.0% |
| Red | |||
| Red | |||
| Face Detection (HP) | 37844 | 37844 | 100.0% |
| Red | |||
| Red | |||
| Face Detection (Q) | 22966 | 22966 | 100.0% |
| Red | |||
| Red | |||
| Depth Estimation (SP) | 55377 | 55377 | 100.0% |
| Red | |||
| Red | |||
| Depth Estimation (HP) | 96518 | 96518 | 100.0% |
| Red | |||
| Red | |||
| Depth Estimation (Q) | 43504 | 43504 | 100.0% |
| Red | |||
| Red | |||
| Style Transfer (SP) | 243121 | 243121 | 100.0% |
| Red | |||
| Red | |||
| Style Transfer (HP) | 496052 | 496052 | 100.0% |
| Red | |||
| Red | |||
| Style Transfer (Q) | 217318 | 217318 | 100.0% |
| Red | |||
| Red | |||
| Image Super-Resolution (SP) | 37825 | 37825 | 100.0% |
| Red | |||
| Red | |||
| Image Super-Resolution (HP) | 44295 | 44295 | 100.0% |
| Red | |||
| Red | |||
| Image Super-Resolution (Q) | 28680 | 28680 | 100.0% |
| Red | |||
| Red | |||
| Text Classification (SP) | 3043 | 3043 | 100.0% |
| Red | |||
| Red | |||
| Text Classification (HP) | 3587 | 3587 | 100.0% |
| Red | |||
| Red | |||
| Text Classification (Q) | 1984 | 1984 | 100.0% |
| Red | |||
| Red | |||
| Machine Translation (SP) | 2713 | 2713 | 100.0% |
| Red | |||
| Red | |||
| Machine Translation (HP) | 2794 | 2794 | 100.0% |
| Red | |||
| Red | |||
| Machine Translation (Q) | 1422 | 1422 | 100.0% |
| Red | |||
| Red | |||
