samsung SM-A366W vs Mac Studio M1 Max
| samsung SM-A366W | Mac Studio M1 Max | Difference | |
|---|---|---|---|
| Single Precision | 536 | 3692 | 14.5% |
| samsung SM-A366W | |||
| Mac Studio M1 Max | |||
| Half Precision | 954 | 5790 | 16.5% |
| samsung SM-A366W | |||
| Mac Studio M1 Max | |||
| Quantized | 755 | 4706 | 16.0% |
| samsung SM-A366W | |||
| Mac Studio M1 Max | |||
| Geekbench AI 1.5.0 | Geekbench AI 1.3.0 | ||
System Information
| samsung SM-A366W | Mac Studio M1 Max | |
|---|---|---|
| AI Framework | TensorFlow Lite | Core ML |
| AI Backend | GPU | CPU |
| AI Device | ARM ARMv8 | Apple M1 Max |
| Operating System | Android 16 | macOS 15.4.1 (Build 24E263) |
| Model | samsung SM-A366W | Mac Studio |
| Processor |
ARM ARMv8 @ 1.80 GHz
1 Processor, 8 Cores |
Apple M1 Max @ 3.22 GHz
1 Processor, 10 Cores |
| Processor ID | ARM implementer 65 architecture 8 variant 1 part 3393 revision 2 | Apple M1 Max |
| Motherboard | parrot | Mac13,1 |
| Memory | 5.25 GB | 64.00 GB |
AI Performance
| samsung SM-A366W | Mac Studio M1 Max | Difference | |
|---|---|---|---|
| Image Classification (SP) | 411 | 1348 | 30.5% |
| samsung SM-A366W | |||
| Mac Studio M1 Max | |||
| Image Classification (HP) | 710 | 2030 | 35.0% |
| samsung SM-A366W | |||
| Mac Studio M1 Max | |||
| Image Classification (Q) | 667 | 1503 | 44.4% |
| samsung SM-A366W | |||
| Mac Studio M1 Max | |||
| Image Segmentation (SP) | 580 | 1525 | 38.0% |
| samsung SM-A366W | |||
| Mac Studio M1 Max | |||
| Image Segmentation (HP) | 1054 | 2243 | 47.0% |
| samsung SM-A366W | |||
| Mac Studio M1 Max | |||
| Image Segmentation (Q) | 1005 | 2602 | 38.6% |
| samsung SM-A366W | |||
| Mac Studio M1 Max | |||
| Pose Estimation (SP) | 1985 | 11066 | 17.9% |
| samsung SM-A366W | |||
| Mac Studio M1 Max | |||
| Pose Estimation (HP) | 3798 | 21116 | 18.0% |
| samsung SM-A366W | |||
| Mac Studio M1 Max | |||
| Pose Estimation (Q) | 3752 | 17532 | 21.4% |
| samsung SM-A366W | |||
| Mac Studio M1 Max | |||
| Object Detection (SP) | 360 | 1568 | 23.0% |
| samsung SM-A366W | |||
| Mac Studio M1 Max | |||
| Object Detection (HP) | 607 | 2296 | 26.4% |
| samsung SM-A366W | |||
| Mac Studio M1 Max | |||
| Object Detection (Q) | 572 | 1710 | 33.5% |
| samsung SM-A366W | |||
| Mac Studio M1 Max | |||
| Face Detection (SP) | 1036 | 3300 | 31.4% |
| samsung SM-A366W | |||
| Mac Studio M1 Max | |||
| Face Detection (HP) | 2011 | 5150 | 39.0% |
| samsung SM-A366W | |||
| Mac Studio M1 Max | |||
| Face Detection (Q) | 1765 | 3098 | 57.0% |
| samsung SM-A366W | |||
| Mac Studio M1 Max | |||
| Depth Estimation (SP) | 1183 | 5777 | 20.5% |
| samsung SM-A366W | |||
| Mac Studio M1 Max | |||
| Depth Estimation (HP) | 2333 | 9903 | 23.6% |
| samsung SM-A366W | |||
| Mac Studio M1 Max | |||
| Depth Estimation (Q) | 1715 | 7058 | 24.3% |
| samsung SM-A366W | |||
| Mac Studio M1 Max | |||
| Style Transfer (SP) | 2170 | 22024 | 9.9% |
| samsung SM-A366W | |||
| Mac Studio M1 Max | |||
| Style Transfer (HP) | 4541 | 33503 | 13.6% |
| samsung SM-A366W | |||
| Mac Studio M1 Max | |||
| Style Transfer (Q) | 4528 | 26997 | 16.8% |
| samsung SM-A366W | |||
| Mac Studio M1 Max | |||
| Image Super-Resolution (SP) | 513 | 4303 | 11.9% |
| samsung SM-A366W | |||
| Mac Studio M1 Max | |||
| Image Super-Resolution (HP) | 1054 | 5870 | 18.0% |
| samsung SM-A366W | |||
| Mac Studio M1 Max | |||
| Image Super-Resolution (Q) | 1009 | 4063 | 24.8% |
| samsung SM-A366W | |||
| Mac Studio M1 Max | |||
| Text Classification (SP) | 22 | 2294 | 1.0% |
| samsung SM-A366W | |||
| Mac Studio M1 Max | |||
| Text Classification (HP) | 35 | 4027 | 0.9% |
| samsung SM-A366W | |||
| Mac Studio M1 Max | |||
| Text Classification (Q) | 27 | 4000 | 0.7% |
| samsung SM-A366W | |||
| Mac Studio M1 Max | |||
| Machine Translation (SP) | 385 | 3185 | 12.1% |
| samsung SM-A366W | |||
| Mac Studio M1 Max | |||
| Machine Translation (HP) | 462 | 4750 | 9.7% |
| samsung SM-A366W | |||
| Mac Studio M1 Max | |||
| Machine Translation (Q) | 113 | 4745 | 2.4% |
| samsung SM-A366W | |||
| Mac Studio M1 Max | |||
