| samsung SM-A166W | Mac Studio M1 Max | Difference | |
|---|---|---|---|
| Single Precision | 180 | 3692 | 4.9% |
| samsung SM-A166W | |||
| Mac Studio M1 Max | |||
| Half Precision | 179 | 5790 | 3.1% |
| samsung SM-A166W | |||
| Mac Studio M1 Max | |||
| Quantized | 486 | 4706 | 10.3% |
| samsung SM-A166W | |||
| Mac Studio M1 Max | |||
| Geekbench AI 1.4.0 | Geekbench AI 1.3.0 | ||
| samsung SM-A166W | Mac Studio M1 Max | |
|---|---|---|
| AI Framework | TensorFlow Lite | Core ML |
| AI Backend | NNAPI | CPU |
| AI Device | ARM ARMv8 | Apple M1 Max |
| Operating System | Android 15 | macOS 15.4.1 (Build 24E263) |
| Model | samsung SM-A166W | Mac Studio |
| Processor |
ARM ARMv8 @ 2.00 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 1 | Apple M1 Max |
| Motherboard | s5e8535 | Mac13,1 |
| Memory | 3.37 GB | 64.00 GB |
| samsung SM-A166W | Mac Studio M1 Max | Difference | |
|---|---|---|---|
| Image Classification (SP) | 121 | 1348 | 9.0% |
| samsung SM-A166W | |||
| Mac Studio M1 Max | |||
| Image Classification (HP) | 122 | 2030 | 6.0% |
| samsung SM-A166W | |||
| Mac Studio M1 Max | |||
| Image Classification (Q) | 326 | 1503 | 21.7% |
| samsung SM-A166W | |||
| Mac Studio M1 Max | |||
| Image Segmentation (SP) | 168 | 1525 | 11.0% |
| samsung SM-A166W | |||
| Mac Studio M1 Max | |||
| Image Segmentation (HP) | 169 | 2243 | 7.5% |
| samsung SM-A166W | |||
| Mac Studio M1 Max | |||
| Image Segmentation (Q) | 372 | 2602 | 14.3% |
| samsung SM-A166W | |||
| Mac Studio M1 Max | |||
| Pose Estimation (SP) | 216 | 11066 | 2.0% |
| samsung SM-A166W | |||
| Mac Studio M1 Max | |||
| Pose Estimation (HP) | 206 | 21116 | 1.0% |
| samsung SM-A166W | |||
| Mac Studio M1 Max | |||
| Pose Estimation (Q) | 846 | 17532 | 4.8% |
| samsung SM-A166W | |||
| Mac Studio M1 Max | |||
| Object Detection (SP) | 121 | 1568 | 7.7% |
| samsung SM-A166W | |||
| Mac Studio M1 Max | |||
| Object Detection (HP) | 119 | 2296 | 5.2% |
| samsung SM-A166W | |||
| Mac Studio M1 Max | |||
| Object Detection (Q) | 328 | 1710 | 19.2% |
| samsung SM-A166W | |||
| Mac Studio M1 Max | |||
| Face Detection (SP) | 313 | 3300 | 9.5% |
| samsung SM-A166W | |||
| Mac Studio M1 Max | |||
| Face Detection (HP) | 315 | 5150 | 6.1% |
| samsung SM-A166W | |||
| Mac Studio M1 Max | |||
| Face Detection (Q) | 694 | 3098 | 22.4% |
| samsung SM-A166W | |||
| Mac Studio M1 Max | |||
| Depth Estimation (SP) | 258 | 5777 | 4.5% |
| samsung SM-A166W | |||
| Mac Studio M1 Max | |||
| Depth Estimation (HP) | 255 | 9903 | 2.6% |
| samsung SM-A166W | |||
| Mac Studio M1 Max | |||
| Depth Estimation (Q) | 639 | 7058 | 9.1% |
| samsung SM-A166W | |||
| Mac Studio M1 Max | |||
| Style Transfer (SP) | 131 | 22024 | 0.6% |
| samsung SM-A166W | |||
| Mac Studio M1 Max | |||
| Style Transfer (HP) | 126 | 33503 | 0.4% |
| samsung SM-A166W | |||
| Mac Studio M1 Max | |||
| Style Transfer (Q) | 1171 | 26997 | 4.3% |
| samsung SM-A166W | |||
| Mac Studio M1 Max | |||
| Image Super-Resolution (SP) | 127 | 4303 | 3.0% |
| samsung SM-A166W | |||
| Mac Studio M1 Max | |||
| Image Super-Resolution (HP) | 130 | 5870 | 2.2% |
| samsung SM-A166W | |||
| Mac Studio M1 Max | |||
| Image Super-Resolution (Q) | 451 | 4063 | 11.1% |
| samsung SM-A166W | |||
| Mac Studio M1 Max | |||
| Text Classification (SP) | 175 | 2294 | 7.6% |
| samsung SM-A166W | |||
| Mac Studio M1 Max | |||
| Text Classification (HP) | 176 | 4027 | 4.4% |
| samsung SM-A166W | |||
| Mac Studio M1 Max | |||
| Text Classification (Q) | 339 | 4000 | 8.5% |
| samsung SM-A166W | |||
| Mac Studio M1 Max | |||
| Machine Translation (SP) | 297 | 3185 | 9.3% |
| samsung SM-A166W | |||
| Mac Studio M1 Max | |||
| Machine Translation (HP) | 291 | 4750 | 6.1% |
| samsung SM-A166W | |||
| Mac Studio M1 Max | |||
| Machine Translation (Q) | 279 | 4745 | 5.9% |
| samsung SM-A166W | |||
| Mac Studio M1 Max | |||