| Mac16,12 | Samsung Galaxy S23 Ultra | Difference | |
|---|---|---|---|
| Single Precision | 4871 | 1879 | 259.2% |
| Mac16,12 | |||
| Samsung Galaxy S23 Ultra | |||
| Half Precision | 36300 | 1695 | 2141.6% |
| Mac16,12 | |||
| Samsung Galaxy S23 Ultra | |||
| Quantized | 50953 | 2738 | 1861.0% |
| Mac16,12 | |||
| Samsung Galaxy S23 Ultra | |||
| Geekbench AI 1.4.0 | Geekbench AI 1.5.0 | ||
| Mac16,12 | Samsung Galaxy S23 Ultra | |
|---|---|---|
| AI Framework | Core ML | TensorFlow Lite |
| AI Backend | Neural Engine | CPU |
| AI Device | Apple M4 | Qualcomm Snapdragon 8 Gen 2 |
| Operating System | macOS 26.0 (Build 25A5316i) | Android 16 |
| Model | Mac16,12 | Samsung Galaxy S23 Ultra |
| Processor |
Apple M4 @ 4.41 GHz
1 Processor, 10 Cores |
ARM ARMv8 @ 2.02 GHz
1 Processor, 8 Cores |
| Processor ID | Apple M4 | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Motherboard | Mac16,12 | kalama |
| Memory | 24.00 GB | 10.79 GB |
| Mac16,12 | Samsung Galaxy S23 Ultra | Difference | |
|---|---|---|---|
| Image Classification (SP) | 2048 | 1625 | 126.0% |
| Mac16,12 | |||
| Samsung Galaxy S23 Ultra | |||
| Image Classification (HP) | 17298 | 1679 | 1030.3% |
| Mac16,12 | |||
| Samsung Galaxy S23 Ultra | |||
| Image Classification (Q) | 24509 | 2465 | 994.3% |
| Mac16,12 | |||
| Samsung Galaxy S23 Ultra | |||
| Image Segmentation (SP) | 2051 | 1722 | 119.1% |
| Mac16,12 | |||
| Samsung Galaxy S23 Ultra | |||
| Image Segmentation (HP) | 22345 | 1740 | 1284.2% |
| Mac16,12 | |||
| Samsung Galaxy S23 Ultra | |||
| Image Segmentation (Q) | 30403 | 2870 | 1059.3% |
| Mac16,12 | |||
| Samsung Galaxy S23 Ultra | |||
| Pose Estimation (SP) | 10004 | 2606 | 383.9% |
| Mac16,12 | |||
| Samsung Galaxy S23 Ultra | |||
| Pose Estimation (HP) | 122778 | 2651 | 4631.4% |
| Mac16,12 | |||
| Samsung Galaxy S23 Ultra | |||
| Pose Estimation (Q) | 232105 | 6144 | 3777.8% |
| Mac16,12 | |||
| Samsung Galaxy S23 Ultra | |||
| Object Detection (SP) | 2412 | 1493 | 161.6% |
| Mac16,12 | |||
| Samsung Galaxy S23 Ultra | |||
| Object Detection (HP) | 18050 | 1503 | 1200.9% |
| Mac16,12 | |||
| Samsung Galaxy S23 Ultra | |||
| Object Detection (Q) | 25848 | 2061 | 1254.1% |
| Mac16,12 | |||
| Samsung Galaxy S23 Ultra | |||
| Face Detection (SP) | 4200 | 2750 | 152.7% |
| Mac16,12 | |||
| Samsung Galaxy S23 Ultra | |||
| Face Detection (HP) | 42862 | 941 | 4554.9% |
| Mac16,12 | |||
| Samsung Galaxy S23 Ultra | |||
| Face Detection (Q) | 59600 | 4666 | 1277.3% |
| Mac16,12 | |||
| Samsung Galaxy S23 Ultra | |||
| Depth Estimation (SP) | 8437 | 2910 | 289.9% |
| Mac16,12 | |||
| Samsung Galaxy S23 Ultra | |||
| Depth Estimation (HP) | 99150 | 2810 | 3528.5% |
| Mac16,12 | |||
| Samsung Galaxy S23 Ultra | |||
| Depth Estimation (Q) | 165526 | 3030 | 5462.9% |
| Mac16,12 | |||
| Samsung Galaxy S23 Ultra | |||
| Style Transfer (SP) | 23834 | 6182 | 385.5% |
| Mac16,12 | |||
| Samsung Galaxy S23 Ultra | |||
| Style Transfer (HP) | 232929 | 6270 | 3715.0% |
| Mac16,12 | |||
| Samsung Galaxy S23 Ultra | |||
| Style Transfer (Q) | 321704 | 11934 | 2695.7% |
| Mac16,12 | |||
| Samsung Galaxy S23 Ultra | |||
| Image Super-Resolution (SP) | 6023 | 1259 | 478.4% |
| Mac16,12 | |||
| Samsung Galaxy S23 Ultra | |||
| Image Super-Resolution (HP) | 51305 | 1263 | 4062.2% |
| Mac16,12 | |||
| Samsung Galaxy S23 Ultra | |||
| Image Super-Resolution (Q) | 83690 | 2858 | 2928.3% |
| Mac16,12 | |||
| Samsung Galaxy S23 Ultra | |||
| Text Classification (SP) | 3233 | 572 | 565.2% |
| Mac16,12 | |||
| Samsung Galaxy S23 Ultra | |||
| Text Classification (HP) | 5533 | 570 | 970.7% |
| Mac16,12 | |||
| Samsung Galaxy S23 Ultra | |||
| Text Classification (Q) | 5470 | 892 | 613.2% |
| Mac16,12 | |||
| Samsung Galaxy S23 Ultra | |||
| Machine Translation (SP) | 4514 | 1420 | 317.9% |
| Mac16,12 | |||
| Samsung Galaxy S23 Ultra | |||
| Machine Translation (HP) | 16506 | 1412 | 1169.0% |
| Mac16,12 | |||
| Samsung Galaxy S23 Ultra | |||
| Machine Translation (Q) | 18160 | 616 | 2948.1% |
| Mac16,12 | |||
| Samsung Galaxy S23 Ultra | |||