e900v22d vs Debian MATE on VNC on WSL2
| e900v22d | Debian MATE on VNC on WSL2 | Difference | |
|---|---|---|---|
| Single-Core Score | 170 | 655 | 26.0% |
| e900v22d | |||
| Debian MATE on VNC on WSL2 | |||
| Multi-Core Score | 576 | 2178 | 26.4% |
| e900v22d | |||
| Debian MATE on VNC on WSL2 | |||
| Geekbench 5.4.4 Preview | Geekbench 5.2.3 Tryout | ||
System Information
| e900v22d | Debian MATE on VNC on WSL2 | |
|---|---|---|
| Operating System | Armbian 22.11.0-trunk Jammy | Linux 4.19.104-microsoft-standard x86_64 |
| Model | CM311-1a-YST | N/A |
| Processor |
ARM ARMv8 @ 1.91 GHz
1 Processor, 1 Core, 4 Threads |
Intel Core i7-2600 @ 3.39 GHz
1 Processor, 4 Cores, 8 Threads |
| Processor ID | ARM implementer 65 architecture 8 variant 0 part 3331 revision 4 | GenuineIntel Family 6 Model 42 Stepping 7 |
| L1 Instruction Cache | 32.0 KB x 4 | |
| L1 Data Cache | 32.0 KB x 4 | |
| L2 Cache | 256 KB x 4 | |
| L3 Cache | 8.00 MB x 1 | |
| Motherboard | N/A | N/A |
| BIOS | ||
| Memory | 1.91 GB | 6.10 GB |
Single-Core Performance
| e900v22d | Debian MATE on VNC on WSL2 | Difference | |
|---|---|---|---|
| Single-Core Score | 170 | 655 | 26.0% |
| e900v22d | |||
| Debian MATE on VNC on WSL2 | |||
| AES-XTS | 288 | 760 | 37.9% |
| e900v22d | |||
| Debian MATE on VNC on WSL2 | |||
| Text Compression | 209 | 654 | 32.0% |
| e900v22d | |||
| Debian MATE on VNC on WSL2 | |||
| Image Compression | 226 | 677 | 33.4% |
| e900v22d | |||
| Debian MATE on VNC on WSL2 | |||
| Navigation | 213 | 664 | 32.1% |
| e900v22d | |||
| Debian MATE on VNC on WSL2 | |||
| HTML5 | 173 | 659 | 26.3% |
| e900v22d | |||
| Debian MATE on VNC on WSL2 | |||
| SQLite | 171 | 665 | 25.7% |
| e900v22d | |||
| Debian MATE on VNC on WSL2 | |||
| PDF Rendering | 223 | 609 | 36.6% |
| e900v22d | |||
| Debian MATE on VNC on WSL2 | |||
| Text Rendering | 168 | 539 | 31.2% |
| e900v22d | |||
| Debian MATE on VNC on WSL2 | |||
| Clang | 179 | 570 | 31.4% |
| e900v22d | |||
| Debian MATE on VNC on WSL2 | |||
| Camera | 98 | 625 | 15.7% |
| e900v22d | |||
| Debian MATE on VNC on WSL2 | |||
| N-Body Physics | 81 | 466 | 17.4% |
| e900v22d | |||
| Debian MATE on VNC on WSL2 | |||
| Rigid Body Physics | 210 | 805 | 26.1% |
| e900v22d | |||
| Debian MATE on VNC on WSL2 | |||
| Gaussian Blur | 38 | 619 | 6.1% |
| e900v22d | |||
| Debian MATE on VNC on WSL2 | |||
| Face Detection | 173 | 673 | 25.7% |
| e900v22d | |||
| Debian MATE on VNC on WSL2 | |||
| Horizon Detection | 181 | 726 | 24.9% |
| e900v22d | |||
| Debian MATE on VNC on WSL2 | |||
| Image Inpainting | 176 | 932 | 18.9% |
| e900v22d | |||
| Debian MATE on VNC on WSL2 | |||
| HDR | 258 | 1312 | 19.7% |
| e900v22d | |||
| Debian MATE on VNC on WSL2 | |||
| Ray Tracing | 165 | 901 | 18.3% |
| e900v22d | |||
| Debian MATE on VNC on WSL2 | |||
| Structure from Motion | 114 | 470 | 24.3% |
| e900v22d | |||
| Debian MATE on VNC on WSL2 | |||
| Speech Recognition | 110 | 657 | 16.7% |
| e900v22d | |||
| Debian MATE on VNC on WSL2 | |||
| Machine Learning | 71 | 498 | 14.3% |
| e900v22d | |||
| Debian MATE on VNC on WSL2 | |||
Multi-Core Performance
| e900v22d | Debian MATE on VNC on WSL2 | Difference | |
|---|---|---|---|
| Multi-Core Score | 576 | 2178 | 26.4% |
| e900v22d | |||
| Debian MATE on VNC on WSL2 | |||
| AES-XTS | 1141 | 2737 | 41.7% |
| e900v22d | |||
| Debian MATE on VNC on WSL2 | |||
| Text Compression | 697 | 2314 | 30.1% |
| e900v22d | |||
| Debian MATE on VNC on WSL2 | |||
| Image Compression | 827 | 2733 | 30.3% |
| e900v22d | |||
| Debian MATE on VNC on WSL2 | |||
| Navigation | 446 | 1538 | 29.0% |
| e900v22d | |||
| Debian MATE on VNC on WSL2 | |||
| HTML5 | 646 | 2413 | 26.8% |
| e900v22d | |||
| Debian MATE on VNC on WSL2 | |||
| SQLite | 613 | 2574 | 23.8% |
| e900v22d | |||
| Debian MATE on VNC on WSL2 | |||
| PDF Rendering | 848 | 2124 | 39.9% |
| e900v22d | |||
| Debian MATE on VNC on WSL2 | |||
| Text Rendering | 605 | 1489 | 40.6% |
| e900v22d | |||
| Debian MATE on VNC on WSL2 | |||
| Clang | 554 | 1881 | 29.5% |
| e900v22d | |||
| Debian MATE on VNC on WSL2 | |||
| Camera | 281 | 1675 | 16.8% |
| e900v22d | |||
| Debian MATE on VNC on WSL2 | |||
| N-Body Physics | 292 | 1959 | 14.9% |
| e900v22d | |||
| Debian MATE on VNC on WSL2 | |||
| Rigid Body Physics | 651 | 2724 | 23.9% |
| e900v22d | |||
| Debian MATE on VNC on WSL2 | |||
| Gaussian Blur | 263 | 2483 | 10.6% |
| e900v22d | |||
| Debian MATE on VNC on WSL2 | |||
| Face Detection | 657 | 2738 | 24.0% |
| e900v22d | |||
| Debian MATE on VNC on WSL2 | |||
| Horizon Detection | 685 | 2537 | 27.0% |
| e900v22d | |||
| Debian MATE on VNC on WSL2 | |||
| Image Inpainting | 507 | 2866 | 17.7% |
| e900v22d | |||
| Debian MATE on VNC on WSL2 | |||
| HDR | 1012 | 4786 | 21.1% |
| e900v22d | |||
| Debian MATE on VNC on WSL2 | |||
| Ray Tracing | 653 | 3932 | 16.6% |
| e900v22d | |||
| Debian MATE on VNC on WSL2 | |||
| Structure from Motion | 358 | 2052 | 17.4% |
| e900v22d | |||
| Debian MATE on VNC on WSL2 | |||
| Speech Recognition | 336 | 1436 | 23.4% |
| e900v22d | |||
| Debian MATE on VNC on WSL2 | |||
| Machine Learning | 208 | 1013 | 20.5% |
| e900v22d | |||
| Debian MATE on VNC on WSL2 | |||
