iPhone 16 Pro Max | Wingtech TMRV06P5G | Difference | |
---|---|---|---|
Single Precision | 4576 | 144 | 3177.8% |
iPhone 16 Pro Max | |||
Wingtech TMRV06P5G | |||
Half Precision | 33386 | 198 | 16861.6% |
iPhone 16 Pro Max | |||
Wingtech TMRV06P5G | |||
Quantized | 46150 | 190 | 24289.5% |
iPhone 16 Pro Max | |||
Wingtech TMRV06P5G | |||
Geekbench AI 1.2.0 | Geekbench AI 1.2.0 |
iPhone 16 Pro Max | Wingtech TMRV06P5G | |
---|---|---|
AI Framework | Core ML | TensorFlow Lite |
AI Backend | Neural Engine | GPU |
AI Device | Apple A18 Pro | ARM MT6833 |
Operating System | iOS 18.5 | Android 14 |
Model | iPhone 16 Pro Max | Wingtech TMRV06P5G |
Processor |
Apple A18 Pro @ 4.04 GHz
1 Processor, 6 Cores |
ARM MT6833 @ 2.00 GHz
1 Processor, 8 Cores |
Processor ID | ARM | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
Motherboard | D94AP | S98121CA2 |
Memory | 7.45 GB | 5.54 GB |
iPhone 16 Pro Max | Wingtech TMRV06P5G | Difference | |
---|---|---|---|
Image Classification (SP) | 2049 | 96 | 2134.4% |
iPhone 16 Pro Max | |||
Wingtech TMRV06P5G | |||
Image Classification (HP) | 15074 | 175 | 8613.7% |
iPhone 16 Pro Max | |||
Wingtech TMRV06P5G | |||
Image Classification (Q) | 21028 | 158 | 13308.9% |
iPhone 16 Pro Max | |||
Wingtech TMRV06P5G | |||
Image Segmentation (SP) | 1934 | 130 | 1487.7% |
iPhone 16 Pro Max | |||
Wingtech TMRV06P5G | |||
Image Segmentation (HP) | 18258 | 232 | 7869.8% |
iPhone 16 Pro Max | |||
Wingtech TMRV06P5G | |||
Image Segmentation (Q) | 24044 | 223 | 10782.1% |
iPhone 16 Pro Max | |||
Wingtech TMRV06P5G | |||
Pose Estimation (SP) | 8937 | 89 | 10041.6% |
iPhone 16 Pro Max | |||
Wingtech TMRV06P5G | |||
Pose Estimation (HP) | 151421 | 102 | 148452.0% |
iPhone 16 Pro Max | |||
Wingtech TMRV06P5G | |||
Pose Estimation (Q) | 290980 | 101 | 288099.0% |
iPhone 16 Pro Max | |||
Wingtech TMRV06P5G | |||
Object Detection (SP) | 2327 | 71 | 3277.5% |
iPhone 16 Pro Max | |||
Wingtech TMRV06P5G | |||
Object Detection (HP) | 16272 | 114 | 14273.7% |
iPhone 16 Pro Max | |||
Wingtech TMRV06P5G | |||
Object Detection (Q) | 22647 | 110 | 20588.2% |
iPhone 16 Pro Max | |||
Wingtech TMRV06P5G | |||
Face Detection (SP) | 3871 | 282 | 1372.7% |
iPhone 16 Pro Max | |||
Wingtech TMRV06P5G | |||
Face Detection (HP) | 41202 | 403 | 10223.8% |
iPhone 16 Pro Max | |||
Wingtech TMRV06P5G | |||
Face Detection (Q) | 58205 | 359 | 16213.1% |
iPhone 16 Pro Max | |||
Wingtech TMRV06P5G | |||
Depth Estimation (SP) | 8167 | 164 | 4979.9% |
iPhone 16 Pro Max | |||
Wingtech TMRV06P5G | |||
Depth Estimation (HP) | 95193 | 214 | 44482.7% |
iPhone 16 Pro Max | |||
Wingtech TMRV06P5G | |||
Depth Estimation (Q) | 159916 | 173 | 92437.0% |
iPhone 16 Pro Max | |||
Wingtech TMRV06P5G | |||
Style Transfer (SP) | 19969 | 332 | 6014.8% |
iPhone 16 Pro Max | |||
Wingtech TMRV06P5G | |||
Style Transfer (HP) | 245549 | 460 | 53380.2% |
iPhone 16 Pro Max | |||
Wingtech TMRV06P5G | |||
Style Transfer (Q) | 301201 | 457 | 65908.3% |
iPhone 16 Pro Max | |||
Wingtech TMRV06P5G | |||
Image Super-Resolution (SP) | 5452 | 83 | 6568.7% |
iPhone 16 Pro Max | |||
Wingtech TMRV06P5G | |||
Image Super-Resolution (HP) | 51979 | 127 | 40928.3% |
iPhone 16 Pro Max | |||
Wingtech TMRV06P5G | |||
Image Super-Resolution (Q) | 85898 | 125 | 68718.4% |
iPhone 16 Pro Max | |||
Wingtech TMRV06P5G | |||
Text Classification (SP) | 3379 | 154 | 2194.2% |
iPhone 16 Pro Max | |||
Wingtech TMRV06P5G | |||
Text Classification (HP) | 5033 | 153 | 3289.5% |
iPhone 16 Pro Max | |||
Wingtech TMRV06P5G | |||
Text Classification (Q) | 4915 | 253 | 1942.7% |
iPhone 16 Pro Max | |||
Wingtech TMRV06P5G | |||
Machine Translation (SP) | 4206 | 257 | 1636.6% |
iPhone 16 Pro Max | |||
Wingtech TMRV06P5G | |||
Machine Translation (HP) | 10070 | 258 | 3903.1% |
iPhone 16 Pro Max | |||
Wingtech TMRV06P5G | |||
Machine Translation (Q) | 11113 | 182 | 6106.0% |
iPhone 16 Pro Max | |||
Wingtech TMRV06P5G |