samsung SM-A366W vs Mac Studio M1 Max
| samsung SM-A366W | Mac Studio M1 Max | Difference | |
|---|---|---|---|
| Single Precision | 537 | 3692 | 14.5% |
| samsung SM-A366W | |||
| Mac Studio M1 Max | |||
| Half Precision | 937 | 5790 | 16.2% |
| samsung SM-A366W | |||
| Mac Studio M1 Max | |||
| Quantized | 744 | 4706 | 15.8% |
| 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 15 | 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 | 5.16 GB | 64.00 GB |
AI Performance
| samsung SM-A366W | Mac Studio M1 Max | Difference | |
|---|---|---|---|
| Image Classification (SP) | 410 | 1348 | 30.4% |
| samsung SM-A366W | |||
| Mac Studio M1 Max | |||
| Image Classification (HP) | 692 | 2030 | 34.1% |
| samsung SM-A366W | |||
| Mac Studio M1 Max | |||
| Image Classification (Q) | 643 | 1503 | 42.8% |
| samsung SM-A366W | |||
| Mac Studio M1 Max | |||
| Image Segmentation (SP) | 592 | 1525 | 38.8% |
| samsung SM-A366W | |||
| Mac Studio M1 Max | |||
| Image Segmentation (HP) | 1039 | 2243 | 46.3% |
| samsung SM-A366W | |||
| Mac Studio M1 Max | |||
| Image Segmentation (Q) | 976 | 2602 | 37.5% |
| samsung SM-A366W | |||
| Mac Studio M1 Max | |||
| Pose Estimation (SP) | 1983 | 11066 | 17.9% |
| samsung SM-A366W | |||
| Mac Studio M1 Max | |||
| Pose Estimation (HP) | 3800 | 21116 | 18.0% |
| samsung SM-A366W | |||
| Mac Studio M1 Max | |||
| Pose Estimation (Q) | 3762 | 17532 | 21.5% |
| samsung SM-A366W | |||
| Mac Studio M1 Max | |||
| Object Detection (SP) | 360 | 1568 | 23.0% |
| samsung SM-A366W | |||
| Mac Studio M1 Max | |||
| Object Detection (HP) | 598 | 2296 | 26.0% |
| samsung SM-A366W | |||
| Mac Studio M1 Max | |||
| Object Detection (Q) | 563 | 1710 | 32.9% |
| samsung SM-A366W | |||
| Mac Studio M1 Max | |||
| Face Detection (SP) | 1018 | 3300 | 30.8% |
| samsung SM-A366W | |||
| Mac Studio M1 Max | |||
| Face Detection (HP) | 1999 | 5150 | 38.8% |
| samsung SM-A366W | |||
| Mac Studio M1 Max | |||
| Face Detection (Q) | 1745 | 3098 | 56.3% |
| samsung SM-A366W | |||
| Mac Studio M1 Max | |||
| Depth Estimation (SP) | 1171 | 5777 | 20.3% |
| samsung SM-A366W | |||
| Mac Studio M1 Max | |||
| Depth Estimation (HP) | 2304 | 9903 | 23.3% |
| samsung SM-A366W | |||
| Mac Studio M1 Max | |||
| Depth Estimation (Q) | 1707 | 7058 | 24.2% |
| samsung SM-A366W | |||
| Mac Studio M1 Max | |||
| Style Transfer (SP) | 2164 | 22024 | 9.8% |
| samsung SM-A366W | |||
| Mac Studio M1 Max | |||
| Style Transfer (HP) | 4541 | 33503 | 13.6% |
| samsung SM-A366W | |||
| Mac Studio M1 Max | |||
| Style Transfer (Q) | 4503 | 26997 | 16.7% |
| samsung SM-A366W | |||
| Mac Studio M1 Max | |||
| Image Super-Resolution (SP) | 537 | 4303 | 12.5% |
| samsung SM-A366W | |||
| Mac Studio M1 Max | |||
| Image Super-Resolution (HP) | 1034 | 5870 | 17.6% |
| samsung SM-A366W | |||
| Mac Studio M1 Max | |||
| Image Super-Resolution (Q) | 999 | 4063 | 24.6% |
| samsung SM-A366W | |||
| Mac Studio M1 Max | |||
| Text Classification (SP) | 22 | 2294 | 1.0% |
| samsung SM-A366W | |||
| Mac Studio M1 Max | |||
| Text Classification (HP) | 34 | 4027 | 0.8% |
| samsung SM-A366W | |||
| Mac Studio M1 Max | |||
| Text Classification (Q) | 26 | 4000 | 0.6% |
| samsung SM-A366W | |||
| Mac Studio M1 Max | |||
| Machine Translation (SP) | 380 | 3185 | 11.9% |
| samsung SM-A366W | |||
| Mac Studio M1 Max | |||
| Machine Translation (HP) | 435 | 4750 | 9.2% |
| samsung SM-A366W | |||
| Mac Studio M1 Max | |||
| Machine Translation (Q) | 113 | 4745 | 2.4% |
| samsung SM-A366W | |||
| Mac Studio M1 Max | |||
