Mac15,12 vs LENOVO 83D5
| Mac15,12 | LENOVO 83D5 | Difference | |
|---|---|---|---|
| Single Precision | 7597 | 10113 | 75.1% |
| Mac15,12 | |||
| LENOVO 83D5 | |||
| Half Precision | 8877 | 19464 | 45.6% |
| Mac15,12 | |||
| LENOVO 83D5 | |||
| Quantized | 7923 | 6980 | 113.5% |
| Mac15,12 | |||
| LENOVO 83D5 | |||
| Geekbench AI 1.3.0 | Geekbench AI 1.3.0 | ||
System Information
| Mac15,12 | LENOVO 83D5 | |
|---|---|---|
| AI Framework | Core ML | ONNX |
| AI Backend | GPU | DirectML |
| AI Device | Apple M3 | NVIDIA GeForce RTX 3050 6GB Laptop GPU |
| Operating System | macOS 15.3.2 (Build 24D81) | Microsoft Windows 11 Home (64-bit) |
| Model | Mac15,12 | LENOVO 83D5 |
| Processor |
Apple M3 @ 4.05 GHz
1 Processor, 8 Cores |
AMD Ryzen 5 8645HS @ 4.30 GHz
1 Processor, 6 Cores, 12 Threads |
| Processor ID | Apple M3 | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Processor Codename | ||
| Processor Package | ||
| Motherboard | Mac15,12 | LENOVO LNVNB161216 |
| Northbridge | ||
| Southbridge | ||
| BIOS | LENOVO NQCN31WW | |
| Memory | 16.00 GB | 16.00 GB |
AI Performance
| Mac15,12 | LENOVO 83D5 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 4327 | 4422 | 97.9% |
| Mac15,12 | |||
| LENOVO 83D5 | |||
| Image Classification (HP) | 4673 | 8569 | 54.5% |
| Mac15,12 | |||
| LENOVO 83D5 | |||
| Image Classification (Q) | 4032 | 3537 | 114.0% |
| Mac15,12 | |||
| LENOVO 83D5 | |||
| Image Segmentation (SP) | 4408 | 6223 | 70.8% |
| Mac15,12 | |||
| LENOVO 83D5 | |||
| Image Segmentation (HP) | 6005 | 11457 | 52.4% |
| Mac15,12 | |||
| LENOVO 83D5 | |||
| Image Segmentation (Q) | 6326 | 5152 | 122.8% |
| Mac15,12 | |||
| LENOVO 83D5 | |||
| Pose Estimation (SP) | 25085 | 40647 | 61.7% |
| Mac15,12 | |||
| LENOVO 83D5 | |||
| Pose Estimation (HP) | 26595 | 142394 | 18.7% |
| Mac15,12 | |||
| LENOVO 83D5 | |||
| Pose Estimation (Q) | 25341 | 34159 | 74.2% |
| Mac15,12 | |||
| LENOVO 83D5 | |||
| Object Detection (SP) | 4377 | 5160 | 84.8% |
| Mac15,12 | |||
| LENOVO 83D5 | |||
| Object Detection (HP) | 4876 | 10445 | 46.7% |
| Mac15,12 | |||
| LENOVO 83D5 | |||
| Object Detection (Q) | 4132 | 4093 | 101.0% |
| Mac15,12 | |||
| LENOVO 83D5 | |||
| Face Detection (SP) | 11861 | 10153 | 116.8% |
| Mac15,12 | |||
| LENOVO 83D5 | |||
| Face Detection (HP) | 15052 | 18030 | 83.5% |
| Mac15,12 | |||
| LENOVO 83D5 | |||
| Face Detection (Q) | 10979 | 8309 | 132.1% |
| Mac15,12 | |||
| LENOVO 83D5 | |||
| Depth Estimation (SP) | 18594 | 22231 | 83.6% |
| Mac15,12 | |||
| LENOVO 83D5 | |||
| Depth Estimation (HP) | 20561 | 50422 | 40.8% |
| Mac15,12 | |||
| LENOVO 83D5 | |||
| Depth Estimation (Q) | 17759 | 16255 | 109.3% |
| Mac15,12 | |||
| LENOVO 83D5 | |||
| Style Transfer (SP) | 51957 | 70094 | 74.1% |
| Mac15,12 | |||
| LENOVO 83D5 | |||
| Style Transfer (HP) | 60632 | 202549 | 29.9% |
| Mac15,12 | |||
| LENOVO 83D5 | |||
| Style Transfer (Q) | 56818 | 56714 | 100.2% |
| Mac15,12 | |||
| LENOVO 83D5 | |||
| Image Super-Resolution (SP) | 11080 | 14697 | 75.4% |
| Mac15,12 | |||
| LENOVO 83D5 | |||
| Image Super-Resolution (HP) | 11859 | 28271 | 41.9% |
| Mac15,12 | |||
| LENOVO 83D5 | |||
| Image Super-Resolution (Q) | 9529 | 8793 | 108.4% |
| Mac15,12 | |||
| LENOVO 83D5 | |||
| Text Classification (SP) | 2948 | 2407 | 122.5% |
| Mac15,12 | |||
| LENOVO 83D5 | |||
| Text Classification (HP) | 5308 | 2979 | 178.2% |
| Mac15,12 | |||
| LENOVO 83D5 | |||
| Text Classification (Q) | 5288 | 1260 | 419.7% |
| Mac15,12 | |||
| LENOVO 83D5 | |||
| Machine Translation (SP) | 818 | 3464 | 23.6% |
| Mac15,12 | |||
| LENOVO 83D5 | |||
| Machine Translation (HP) | 707 | 3447 | 20.5% |
| Mac15,12 | |||
| LENOVO 83D5 | |||
| Machine Translation (Q) | 654 | 1270 | 51.5% |
| Mac15,12 | |||
| LENOVO 83D5 | |||
