AMD Lilac-RMB vs AMD Lilac-RMB
| AMD Lilac-RMB | AMD Lilac-RMB | Difference | |
|---|---|---|---|
| Single Precision | 2357 | 2357 | 100.0% |
| AMD Lilac-RMB | |||
| AMD Lilac-RMB | |||
| Half Precision | 1222 | 1222 | 100.0% |
| AMD Lilac-RMB | |||
| AMD Lilac-RMB | |||
| Quantized | 3078 | 3078 | 100.0% |
| AMD Lilac-RMB | |||
| AMD Lilac-RMB | |||
| Geekbench AI 1.1.0 | Geekbench AI 1.1.0 | ||
System Information
| AMD Lilac-RMB | AMD Lilac-RMB | |
|---|---|---|
| AI Framework | ONNX | ONNX |
| AI Backend | CPU | CPU |
| AI Device | AMD Ryzen 5 7535U | AMD Ryzen 5 7535U |
| Operating System | Microsoft Windows 11 (64-bit) | Microsoft Windows 11 (64-bit) |
| Model | AMD Lilac-RMB | AMD Lilac-RMB |
| Processor |
AMD Ryzen 5 7535U @ 2.90 GHz
1 Processor, 6 Cores, 12 Threads |
AMD Ryzen 5 7535U @ 2.90 GHz
1 Processor, 6 Cores, 12 Threads |
| Processor ID | AuthenticAMD Family 25 Model 68 Stepping 1 | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Processor Codename | ||
| Processor Package | ||
| Motherboard | AMD Lilac-RMB | AMD Lilac-RMB |
| Northbridge | ||
| Southbridge | ||
| BIOS | INSYDE Corp. T163RMB_V0202_3050 | INSYDE Corp. T163RMB_V0202_3050 |
| Memory | 32.00 GB | 32.00 GB |
AI Performance
| AMD Lilac-RMB | AMD Lilac-RMB | Difference | |
|---|---|---|---|
| Image Classification (SP) | 1520 | 1520 | 100.0% |
| AMD Lilac-RMB | |||
| AMD Lilac-RMB | |||
| Image Classification (HP) | 497 | 497 | 100.0% |
| AMD Lilac-RMB | |||
| AMD Lilac-RMB | |||
| Image Classification (Q) | 2216 | 2216 | 100.0% |
| AMD Lilac-RMB | |||
| AMD Lilac-RMB | |||
| Image Segmentation (SP) | 553 | 553 | 100.0% |
| AMD Lilac-RMB | |||
| AMD Lilac-RMB | |||
| Image Segmentation (HP) | 392 | 392 | 100.0% |
| AMD Lilac-RMB | |||
| AMD Lilac-RMB | |||
| Image Segmentation (Q) | 2109 | 2109 | 100.0% |
| AMD Lilac-RMB | |||
| AMD Lilac-RMB | |||
| Pose Estimation (SP) | 4416 | 4416 | 100.0% |
| AMD Lilac-RMB | |||
| AMD Lilac-RMB | |||
| Pose Estimation (HP) | 3604 | 3604 | 100.0% |
| AMD Lilac-RMB | |||
| AMD Lilac-RMB | |||
| Pose Estimation (Q) | 8545 | 8545 | 100.0% |
| AMD Lilac-RMB | |||
| AMD Lilac-RMB | |||
| Object Detection (SP) | 1696 | 1696 | 100.0% |
| AMD Lilac-RMB | |||
| AMD Lilac-RMB | |||
| Object Detection (HP) | 636 | 636 | 100.0% |
| AMD Lilac-RMB | |||
| AMD Lilac-RMB | |||
| Object Detection (Q) | 1567 | 1567 | 100.0% |
| AMD Lilac-RMB | |||
| AMD Lilac-RMB | |||
| Face Detection (SP) | 2586 | 2586 | 100.0% |
| AMD Lilac-RMB | |||
| AMD Lilac-RMB | |||
| Face Detection (HP) | 1363 | 1363 | 100.0% |
| AMD Lilac-RMB | |||
| AMD Lilac-RMB | |||
| Face Detection (Q) | 3390 | 3390 | 100.0% |
| AMD Lilac-RMB | |||
| AMD Lilac-RMB | |||
| Depth Estimation (SP) | 5036 | 5036 | 100.0% |
| AMD Lilac-RMB | |||
| AMD Lilac-RMB | |||
| Depth Estimation (HP) | 1996 | 1996 | 100.0% |
| AMD Lilac-RMB | |||
| AMD Lilac-RMB | |||
| Depth Estimation (Q) | 4780 | 4780 | 100.0% |
| AMD Lilac-RMB | |||
| AMD Lilac-RMB | |||
| Style Transfer (SP) | 10728 | 10728 | 100.0% |
| AMD Lilac-RMB | |||
| AMD Lilac-RMB | |||
| Style Transfer (HP) | 8899 | 8899 | 100.0% |
| AMD Lilac-RMB | |||
| AMD Lilac-RMB | |||
| Style Transfer (Q) | 13503 | 13503 | 100.0% |
| AMD Lilac-RMB | |||
| AMD Lilac-RMB | |||
| Image Super-Resolution (SP) | 1932 | 1932 | 100.0% |
| AMD Lilac-RMB | |||
| AMD Lilac-RMB | |||
| Image Super-Resolution (HP) | 1755 | 1755 | 100.0% |
| AMD Lilac-RMB | |||
| AMD Lilac-RMB | |||
| Image Super-Resolution (Q) | 2364 | 2364 | 100.0% |
| AMD Lilac-RMB | |||
| AMD Lilac-RMB | |||
| Text Classification (SP) | 1633 | 1633 | 100.0% |
| AMD Lilac-RMB | |||
| AMD Lilac-RMB | |||
| Text Classification (HP) | 676 | 676 | 100.0% |
| AMD Lilac-RMB | |||
| AMD Lilac-RMB | |||
| Text Classification (Q) | 1383 | 1383 | 100.0% |
| AMD Lilac-RMB | |||
| AMD Lilac-RMB | |||
| Machine Translation (SP) | 1913 | 1913 | 100.0% |
| AMD Lilac-RMB | |||
| AMD Lilac-RMB | |||
| Machine Translation (HP) | 579 | 579 | 100.0% |
| AMD Lilac-RMB | |||
| AMD Lilac-RMB | |||
| Machine Translation (Q) | 1706 | 1706 | 100.0% |
| AMD Lilac-RMB | |||
| AMD Lilac-RMB | |||
