Generic vs Generic
| Generic | Generic | Difference | |
|---|---|---|---|
| Single Precision | 2234 | 2234 | 100.0% |
| Generic | |||
| Generic | |||
| Half Precision | 1071 | 1071 | 100.0% |
| Generic | |||
| Generic | |||
| Quantized | 2351 | 2351 | 100.0% |
| Generic | |||
| Generic | |||
| Geekbench AI 1.4.0 | Geekbench AI 1.4.0 | ||
System Information
| Generic | Generic | |
|---|---|---|
| AI Framework | ONNX | ONNX |
| AI Backend | CPU | CPU |
| AI Device | AMD Ryzen 5 PRO 4650G | AMD Ryzen 5 PRO 4650G |
| Operating System | Microsoft Windows 10 Pro (64-bit) | Microsoft Windows 10 Pro (64-bit) |
| Model | Generic | Generic |
| Processor |
AMD Ryzen 5 PRO 4650G @ 3.70 GHz
1 Processor, 6 Cores, 12 Threads |
AMD Ryzen 5 PRO 4650G @ 3.70 GHz
1 Processor, 6 Cores, 12 Threads |
| Processor ID | AuthenticAMD Family 23 Model 96 Stepping 1 | AuthenticAMD Family 23 Model 96 Stepping 1 |
| Processor Codename | ||
| Processor Package | ||
| Motherboard | ASRock B450M Pro4 | ASRock B450M Pro4 |
| Northbridge | ||
| Southbridge | ||
| BIOS | American Megatrends Inc. P5.70 | American Megatrends Inc. P5.70 |
| Memory | 32.00 GB | 32.00 GB |
AI Performance
| Generic | Generic | Difference | |
|---|---|---|---|
| Image Classification (SP) | 1928 | 1928 | 100.0% |
| Generic | |||
| Generic | |||
| Image Classification (HP) | 427 | 427 | 100.0% |
| Generic | |||
| Generic | |||
| Image Classification (Q) | 2189 | 2189 | 100.0% |
| Generic | |||
| Generic | |||
| Image Segmentation (SP) | 659 | 659 | 100.0% |
| Generic | |||
| Generic | |||
| Image Segmentation (HP) | 426 | 426 | 100.0% |
| Generic | |||
| Generic | |||
| Image Segmentation (Q) | 1918 | 1918 | 100.0% |
| Generic | |||
| Generic | |||
| Pose Estimation (SP) | 4158 | 4158 | 100.0% |
| Generic | |||
| Generic | |||
| Pose Estimation (HP) | 3304 | 3304 | 100.0% |
| Generic | |||
| Generic | |||
| Pose Estimation (Q) | 4590 | 4590 | 100.0% |
| Generic | |||
| Generic | |||
| Object Detection (SP) | 1646 | 1646 | 100.0% |
| Generic | |||
| Generic | |||
| Object Detection (HP) | 530 | 530 | 100.0% |
| Generic | |||
| Generic | |||
| Object Detection (Q) | 1397 | 1397 | 100.0% |
| Generic | |||
| Generic | |||
| Face Detection (SP) | 3205 | 3205 | 100.0% |
| Generic | |||
| Generic | |||
| Face Detection (HP) | 1070 | 1070 | 100.0% |
| Generic | |||
| Generic | |||
| Face Detection (Q) | 4468 | 4468 | 100.0% |
| Generic | |||
| Generic | |||
| Depth Estimation (SP) | 5201 | 5201 | 100.0% |
| Generic | |||
| Generic | |||
| Depth Estimation (HP) | 1633 | 1633 | 100.0% |
| Generic | |||
| Generic | |||
| Depth Estimation (Q) | 4639 | 4639 | 100.0% |
| Generic | |||
| Generic | |||
| Style Transfer (SP) | 8751 | 8751 | 100.0% |
| Generic | |||
| Generic | |||
| Style Transfer (HP) | 6983 | 6983 | 100.0% |
| Generic | |||
| Generic | |||
| Style Transfer (Q) | 8966 | 8966 | 100.0% |
| Generic | |||
| Generic | |||
| Image Super-Resolution (SP) | 1527 | 1527 | 100.0% |
| Generic | |||
| Generic | |||
| Image Super-Resolution (HP) | 1389 | 1389 | 100.0% |
| Generic | |||
| Generic | |||
| Image Super-Resolution (Q) | 1811 | 1811 | 100.0% |
| Generic | |||
| Generic | |||
| Text Classification (SP) | 1167 | 1167 | 100.0% |
| Generic | |||
| Generic | |||
| Text Classification (HP) | 572 | 572 | 100.0% |
| Generic | |||
| Generic | |||
| Text Classification (Q) | 363 | 363 | 100.0% |
| Generic | |||
| Generic | |||
| Machine Translation (SP) | 1370 | 1370 | 100.0% |
| Generic | |||
| Generic | |||
| Machine Translation (HP) | 649 | 649 | 100.0% |
| Generic | |||
| Generic | |||
| Machine Translation (Q) | 1572 | 1572 | 100.0% |
| Generic | |||
| Generic | |||
