| Arr2025-01 | Arr2025-01 | Difference | |
|---|---|---|---|
| Single Precision | 1188 | 1188 | 100.0% |
| Arr2025-01 | |||
| Arr2025-01 | |||
| Half Precision | 665 | 665 | 100.0% |
| Arr2025-01 | |||
| Arr2025-01 | |||
| Quantized | 2700 | 2700 | 100.0% |
| Arr2025-01 | |||
| Arr2025-01 | |||
| Geekbench AI 1.5.0 | Geekbench AI 1.5.0 | ||
| Arr2025-01 | Arr2025-01 | |
|---|---|---|
| AI Framework | ONNX | ONNX |
| AI Backend | CPU | CPU |
| AI Device | Intel Core i5-14400 | Intel Core i5-14400 |
| Operating System | Microsoft Windows Server 2025 Standard (64-bit) | Microsoft Windows Server 2025 Standard (64-bit) |
| Model | QEMU Standard PC (Q35 + ICH9, 2009) | QEMU Standard PC (Q35 + ICH9, 2009) |
| Processor |
Intel Core i5-14400 @ 2.50 GHz
1 Processor, 4 Cores |
Intel Core i5-14400 @ 2.50 GHz
1 Processor, 4 Cores |
| Processor ID | GenuineIntel Family 6 Model 191 Stepping 2 | GenuineIntel Family 6 Model 191 Stepping 2 |
| Processor Codename | ||
| Processor Package | ||
| Motherboard | ||
| Northbridge | ||
| Southbridge | ||
| BIOS | Proxmox distribution of EDK II 4.2025.02-4~bpo12+1 | Proxmox distribution of EDK II 4.2025.02-4~bpo12+1 |
| Memory | 8.00 GB RAM | 8.00 GB RAM |
| Arr2025-01 | Arr2025-01 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 847 | 847 | 100.0% |
| Arr2025-01 | |||
| Arr2025-01 | |||
| Image Classification (HP) | 265 | 265 | 100.0% |
| Arr2025-01 | |||
| Arr2025-01 | |||
| Image Classification (Q) | 2049 | 2049 | 100.0% |
| Arr2025-01 | |||
| Arr2025-01 | |||
| Image Segmentation (SP) | 647 | 647 | 100.0% |
| Arr2025-01 | |||
| Arr2025-01 | |||
| Image Segmentation (HP) | 457 | 457 | 100.0% |
| Arr2025-01 | |||
| Arr2025-01 | |||
| Image Segmentation (Q) | 2376 | 2376 | 100.0% |
| Arr2025-01 | |||
| Arr2025-01 | |||
| Pose Estimation (SP) | 1695 | 1695 | 100.0% |
| Arr2025-01 | |||
| Arr2025-01 | |||
| Pose Estimation (HP) | 1408 | 1408 | 100.0% |
| Arr2025-01 | |||
| Arr2025-01 | |||
| Pose Estimation (Q) | 6301 | 6301 | 100.0% |
| Arr2025-01 | |||
| Arr2025-01 | |||
| Object Detection (SP) | 764 | 764 | 100.0% |
| Arr2025-01 | |||
| Arr2025-01 | |||
| Object Detection (HP) | 329 | 329 | 100.0% |
| Arr2025-01 | |||
| Arr2025-01 | |||
| Object Detection (Q) | 1963 | 1963 | 100.0% |
| Arr2025-01 | |||
| Arr2025-01 | |||
| Face Detection (SP) | 2637 | 2637 | 100.0% |
| Arr2025-01 | |||
| Arr2025-01 | |||
| Face Detection (HP) | 841 | 841 | 100.0% |
| Arr2025-01 | |||
| Arr2025-01 | |||
| Face Detection (Q) | 3295 | 3295 | 100.0% |
| Arr2025-01 | |||
| Arr2025-01 | |||
| Depth Estimation (SP) | 1933 | 1933 | 100.0% |
| Arr2025-01 | |||
| Arr2025-01 | |||
| Depth Estimation (HP) | 978 | 978 | 100.0% |
| Arr2025-01 | |||
| Arr2025-01 | |||
| Depth Estimation (Q) | 5077 | 5077 | 100.0% |
| Arr2025-01 | |||
| Arr2025-01 | |||
| Style Transfer (SP) | 4403 | 4403 | 100.0% |
| Arr2025-01 | |||
| Arr2025-01 | |||
| Style Transfer (HP) | 3094 | 3094 | 100.0% |
| Arr2025-01 | |||
| Arr2025-01 | |||
| Style Transfer (Q) | 8722 | 8722 | 100.0% |
| Arr2025-01 | |||
| Arr2025-01 | |||
| Image Super-Resolution (SP) | 868 | 868 | 100.0% |
| Arr2025-01 | |||
| Arr2025-01 | |||
| Image Super-Resolution (HP) | 741 | 741 | 100.0% |
| Arr2025-01 | |||
| Arr2025-01 | |||
| Image Super-Resolution (Q) | 1983 | 1983 | 100.0% |
| Arr2025-01 | |||
| Arr2025-01 | |||
| Text Classification (SP) | 374 | 374 | 100.0% |
| Arr2025-01 | |||
| Arr2025-01 | |||
| Text Classification (HP) | 420 | 420 | 100.0% |
| Arr2025-01 | |||
| Arr2025-01 | |||
| Text Classification (Q) | 781 | 781 | 100.0% |
| Arr2025-01 | |||
| Arr2025-01 | |||
| Machine Translation (SP) | 1086 | 1086 | 100.0% |
| Arr2025-01 | |||
| Arr2025-01 | |||
| Machine Translation (HP) | 384 | 384 | 100.0% |
| Arr2025-01 | |||
| Arr2025-01 | |||
| Machine Translation (Q) | 1518 | 1518 | 100.0% |
| Arr2025-01 | |||
| Arr2025-01 | |||