iPhone 16 Pro | Samsung Galaxy S23 Ultra | Difference | |
---|---|---|---|
Single Precision | 6187 | 839 | 737.4% |
iPhone 16 Pro | |||
Samsung Galaxy S23 Ultra | |||
Half Precision | 6989 | 729 | 958.7% |
iPhone 16 Pro | |||
Samsung Galaxy S23 Ultra | |||
Quantized | 6735 | 1317 | 511.4% |
iPhone 16 Pro | |||
Samsung Galaxy S23 Ultra | |||
Geekbench AI 1.2.0 | Geekbench AI 1.4.0 |
iPhone 16 Pro | Samsung Galaxy S23 Ultra | |
---|---|---|
AI Framework | Core ML | TensorFlow Lite |
AI Backend | GPU | CPU |
AI Device | Apple A18 Pro | Qualcomm Snapdragon 8 Gen 2 |
Operating System | iOS 18.4.1 | Android 15 |
Model | iPhone 16 Pro | Samsung Galaxy S23 Ultra |
Processor |
Apple A18 Pro @ 4.04 GHz
1 Processor, 6 Cores |
ARM ARMv8 @ 2.02 GHz
1 Processor, 8 Cores |
Processor ID | ARM | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
Motherboard | D93AP | kalama |
Memory | 7.47 GB | 10.79 GB |
iPhone 16 Pro | Samsung Galaxy S23 Ultra | Difference | |
---|---|---|---|
Image Classification (SP) | 3042 | 992 | 306.7% |
iPhone 16 Pro | |||
Samsung Galaxy S23 Ultra | |||
Image Classification (HP) | 2403 | 535 | 449.2% |
iPhone 16 Pro | |||
Samsung Galaxy S23 Ultra | |||
Image Classification (Q) | 3098 | 1436 | 215.7% |
iPhone 16 Pro | |||
Samsung Galaxy S23 Ultra | |||
Image Segmentation (SP) | 4427 | 747 | 592.6% |
iPhone 16 Pro | |||
Samsung Galaxy S23 Ultra | |||
Image Segmentation (HP) | 4904 | 426 | 1151.2% |
iPhone 16 Pro | |||
Samsung Galaxy S23 Ultra | |||
Image Segmentation (Q) | 4738 | 1645 | 288.0% |
iPhone 16 Pro | |||
Samsung Galaxy S23 Ultra | |||
Pose Estimation (SP) | 15721 | 1794 | 876.3% |
iPhone 16 Pro | |||
Samsung Galaxy S23 Ultra | |||
Pose Estimation (HP) | 16463 | 1624 | 1013.7% |
iPhone 16 Pro | |||
Samsung Galaxy S23 Ultra | |||
Pose Estimation (Q) | 16052 | 2244 | 715.3% |
iPhone 16 Pro | |||
Samsung Galaxy S23 Ultra | |||
Object Detection (SP) | 3160 | 520 | 607.7% |
iPhone 16 Pro | |||
Samsung Galaxy S23 Ultra | |||
Object Detection (HP) | 3435 | 557 | 616.7% |
iPhone 16 Pro | |||
Samsung Galaxy S23 Ultra | |||
Object Detection (Q) | 3178 | 1046 | 303.8% |
iPhone 16 Pro | |||
Samsung Galaxy S23 Ultra | |||
Face Detection (SP) | 8108 | 981 | 826.5% |
iPhone 16 Pro | |||
Samsung Galaxy S23 Ultra | |||
Face Detection (HP) | 11023 | 1010 | 1091.4% |
iPhone 16 Pro | |||
Samsung Galaxy S23 Ultra | |||
Face Detection (Q) | 8839 | 1650 | 535.7% |
iPhone 16 Pro | |||
Samsung Galaxy S23 Ultra | |||
Depth Estimation (SP) | 14088 | 819 | 1720.1% |
iPhone 16 Pro | |||
Samsung Galaxy S23 Ultra | |||
Depth Estimation (HP) | 15239 | 819 | 1860.7% |
iPhone 16 Pro | |||
Samsung Galaxy S23 Ultra | |||
Depth Estimation (Q) | 13430 | 1714 | 783.5% |
iPhone 16 Pro | |||
Samsung Galaxy S23 Ultra | |||
Style Transfer (SP) | 32610 | 2392 | 1363.3% |
iPhone 16 Pro | |||
Samsung Galaxy S23 Ultra | |||
Style Transfer (HP) | 38487 | 1968 | 1955.6% |
iPhone 16 Pro | |||
Samsung Galaxy S23 Ultra | |||
Style Transfer (Q) | 38632 | 4481 | 862.1% |
iPhone 16 Pro | |||
Samsung Galaxy S23 Ultra | |||
Image Super-Resolution (SP) | 8045 | 539 | 1492.6% |
iPhone 16 Pro | |||
Samsung Galaxy S23 Ultra | |||
Image Super-Resolution (HP) | 8385 | 549 | 1527.3% |
iPhone 16 Pro | |||
Samsung Galaxy S23 Ultra | |||
Image Super-Resolution (Q) | 7505 | 1242 | 604.3% |
iPhone 16 Pro | |||
Samsung Galaxy S23 Ultra | |||
Text Classification (SP) | 3407 | 315 | 1081.6% |
iPhone 16 Pro | |||
Samsung Galaxy S23 Ultra | |||
Text Classification (HP) | 5954 | 346 | 1720.8% |
iPhone 16 Pro | |||
Samsung Galaxy S23 Ultra | |||
Text Classification (Q) | 5848 | 516 | 1133.3% |
iPhone 16 Pro | |||
Samsung Galaxy S23 Ultra | |||
Machine Translation (SP) | 1204 | 767 | 157.0% |
iPhone 16 Pro | |||
Samsung Galaxy S23 Ultra | |||
Machine Translation (HP) | 1294 | 669 | 193.4% |
iPhone 16 Pro | |||
Samsung Galaxy S23 Ultra | |||
Machine Translation (Q) | 1276 | 350 | 364.6% |
iPhone 16 Pro | |||
Samsung Galaxy S23 Ultra |