MSX vs MSX
| MSX | MSX | Difference | |
|---|---|---|---|
| Single Precision | 33592 | 33592 | 100.0% |
| MSX | |||
| MSX | |||
| Half Precision | 57552 | 57552 | 100.0% |
| MSX | |||
| MSX | |||
| Quantized | 25546 | 25546 | 100.0% |
| MSX | |||
| MSX | |||
| Geekbench AI 1.3.0 | Geekbench AI 1.3.0 | ||
System Information
| MSX | MSX | |
|---|---|---|
| AI Framework | ONNX | ONNX |
| AI Backend | DirectML | DirectML |
| AI Device | NVIDIA GeForce RTX 5070 Ti | NVIDIA GeForce RTX 5070 Ti |
| Operating System | Microsoft Windows 11 Pro (64-bit) | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name | ASUS System Product Name |
| Processor |
AMD Ryzen 7 9800X3D @ 4.70 GHz
1 Processor, 8 Cores, 16 Threads |
AMD Ryzen 7 9800X3D @ 4.70 GHz
1 Processor, 8 Cores, 16 Threads |
| Processor ID | AuthenticAMD Family 26 Model 68 Stepping 0 | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Processor Codename | ||
| Processor Package | ||
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X870-PLUS WIFI | ASUSTeK COMPUTER INC. TUF GAMING X870-PLUS WIFI |
| Northbridge | ||
| Southbridge | ||
| BIOS | American Megatrends Inc. 1022 | American Megatrends Inc. 1022 |
| Memory | 64.00 GB | 64.00 GB |
AI Performance
| MSX | MSX | Difference | |
|---|---|---|---|
| Image Classification (SP) | 14054 | 14054 | 100.0% |
| MSX | |||
| MSX | |||
| Image Classification (HP) | 21402 | 21402 | 100.0% |
| MSX | |||
| MSX | |||
| Image Classification (Q) | 12441 | 12441 | 100.0% |
| MSX | |||
| MSX | |||
| Image Segmentation (SP) | 24982 | 24982 | 100.0% |
| MSX | |||
| MSX | |||
| Image Segmentation (HP) | 36604 | 36604 | 100.0% |
| MSX | |||
| MSX | |||
| Image Segmentation (Q) | 22733 | 22733 | 100.0% |
| MSX | |||
| MSX | |||
| Pose Estimation (SP) | 176113 | 176113 | 100.0% |
| MSX | |||
| MSX | |||
| Pose Estimation (HP) | 684920 | 684920 | 100.0% |
| MSX | |||
| MSX | |||
| Pose Estimation (Q) | 157622 | 157622 | 100.0% |
| MSX | |||
| MSX | |||
| Object Detection (SP) | 17933 | 17933 | 100.0% |
| MSX | |||
| MSX | |||
| Object Detection (HP) | 29258 | 29258 | 100.0% |
| MSX | |||
| MSX | |||
| Object Detection (Q) | 15035 | 15035 | 100.0% |
| MSX | |||
| MSX | |||
| Face Detection (SP) | 52419 | 52419 | 100.0% |
| MSX | |||
| MSX | |||
| Face Detection (HP) | 75511 | 75511 | 100.0% |
| MSX | |||
| MSX | |||
| Face Detection (Q) | 42956 | 42956 | 100.0% |
| MSX | |||
| MSX | |||
| Depth Estimation (SP) | 87887 | 87887 | 100.0% |
| MSX | |||
| MSX | |||
| Depth Estimation (HP) | 140256 | 140256 | 100.0% |
| MSX | |||
| MSX | |||
| Depth Estimation (Q) | 62374 | 62374 | 100.0% |
| MSX | |||
| MSX | |||
| Style Transfer (SP) | 303053 | 303053 | 100.0% |
| MSX | |||
| MSX | |||
| Style Transfer (HP) | 1003585 | 1003585 | 100.0% |
| MSX | |||
| MSX | |||
| Style Transfer (Q) | 258629 | 258629 | 100.0% |
| MSX | |||
| MSX | |||
| Image Super-Resolution (SP) | 48342 | 48342 | 100.0% |
| MSX | |||
| MSX | |||
| Image Super-Resolution (HP) | 78152 | 78152 | 100.0% |
| MSX | |||
| MSX | |||
| Image Super-Resolution (Q) | 37024 | 37024 | 100.0% |
| MSX | |||
| MSX | |||
| Text Classification (SP) | 3681 | 3681 | 100.0% |
| MSX | |||
| MSX | |||
| Text Classification (HP) | 4522 | 4522 | 100.0% |
| MSX | |||
| MSX | |||
| Text Classification (Q) | 2279 | 2279 | 100.0% |
| MSX | |||
| MSX | |||
| Machine Translation (SP) | 6643 | 6643 | 100.0% |
| MSX | |||
| MSX | |||
| Machine Translation (HP) | 6761 | 6761 | 100.0% |
| MSX | |||
| MSX | |||
| Machine Translation (Q) | 3021 | 3021 | 100.0% |
| MSX | |||
| MSX | |||
