iPhone17,5 vs samsung SM-A035M
| iPhone17,5 | samsung SM-A035M | Difference | |
|---|---|---|---|
| Single Precision | 3984 | 290 | 1373.8% |
| iPhone17,5 | |||
| samsung SM-A035M | |||
| Half Precision | 31826 | 288 | 11050.7% |
| iPhone17,5 | |||
| samsung SM-A035M | |||
| Quantized | 44620 | 432 | 10328.7% |
| iPhone17,5 | |||
| samsung SM-A035M | |||
| Geekbench AI 1.2.0 | Geekbench AI 1.5.0 | ||
System Information
| iPhone17,5 | samsung SM-A035M | |
|---|---|---|
| AI Framework | Core ML | TensorFlow Lite |
| AI Backend | Neural Engine | CPU |
| AI Device | ARM | ARM UNISOC |
| Operating System | iOS 18.4.1 | Android 13 |
| Model | iPhone17,5 | samsung SM-A035M |
| Processor |
ARM @ 4.04 GHz
1 Processor, 6 Cores |
ARM UNISOC @ 1.61 GHz
1 Processor, 8 Cores |
| Processor ID | ARM | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Motherboard | V59AP | ums9230_25c10 |
| Memory | 7.54 GB | 3.47 GB |
AI Performance
| iPhone17,5 | samsung SM-A035M | Difference | |
|---|---|---|---|
| Image Classification (SP) | 1973 | 140 | 1409.3% |
| iPhone17,5 | |||
| samsung SM-A035M | |||
| Image Classification (HP) | 15501 | 135 | 11482.2% |
| iPhone17,5 | |||
| samsung SM-A035M | |||
| Image Classification (Q) | 20717 | 309 | 6704.5% |
| iPhone17,5 | |||
| samsung SM-A035M | |||
| Image Segmentation (SP) | 1707 | 172 | 992.4% |
| iPhone17,5 | |||
| samsung SM-A035M | |||
| Image Segmentation (HP) | 18151 | 185 | 9811.4% |
| iPhone17,5 | |||
| samsung SM-A035M | |||
| Image Segmentation (Q) | 23706 | 433 | 5474.8% |
| iPhone17,5 | |||
| samsung SM-A035M | |||
| Pose Estimation (SP) | 7191 | 687 | 1046.7% |
| iPhone17,5 | |||
| samsung SM-A035M | |||
| Pose Estimation (HP) | 133482 | 673 | 19833.9% |
| iPhone17,5 | |||
| samsung SM-A035M | |||
| Pose Estimation (Q) | 280795 | 698 | 40228.5% |
| iPhone17,5 | |||
| samsung SM-A035M | |||
| Object Detection (SP) | 2103 | 137 | 1535.0% |
| iPhone17,5 | |||
| samsung SM-A035M | |||
| Object Detection (HP) | 16188 | 139 | 11646.0% |
| iPhone17,5 | |||
| samsung SM-A035M | |||
| Object Detection (Q) | 22561 | 294 | 7673.8% |
| iPhone17,5 | |||
| samsung SM-A035M | |||
| Face Detection (SP) | 3252 | 386 | 842.5% |
| iPhone17,5 | |||
| samsung SM-A035M | |||
| Face Detection (HP) | 39782 | 386 | 10306.2% |
| iPhone17,5 | |||
| samsung SM-A035M | |||
| Face Detection (Q) | 56425 | 804 | 7018.0% |
| iPhone17,5 | |||
| samsung SM-A035M | |||
| Depth Estimation (SP) | 7010 | 536 | 1307.8% |
| iPhone17,5 | |||
| samsung SM-A035M | |||
| Depth Estimation (HP) | 95377 | 477 | 19995.2% |
| iPhone17,5 | |||
| samsung SM-A035M | |||
| Depth Estimation (Q) | 160046 | 731 | 21894.1% |
| iPhone17,5 | |||
| samsung SM-A035M | |||
| Style Transfer (SP) | 15349 | 1267 | 1211.4% |
| iPhone17,5 | |||
| samsung SM-A035M | |||
| Style Transfer (HP) | 244844 | 1308 | 18719.0% |
| iPhone17,5 | |||
| samsung SM-A035M | |||
| Style Transfer (Q) | 305234 | 1725 | 17694.7% |
| iPhone17,5 | |||
| samsung SM-A035M | |||
| Image Super-Resolution (SP) | 4333 | 261 | 1660.2% |
| iPhone17,5 | |||
| samsung SM-A035M | |||
| Image Super-Resolution (HP) | 49088 | 272 | 18047.1% |
| iPhone17,5 | |||
| samsung SM-A035M | |||
| Image Super-Resolution (Q) | 83337 | 416 | 20032.9% |
| iPhone17,5 | |||
| samsung SM-A035M | |||
| Text Classification (SP) | 3380 | 133 | 2541.4% |
| iPhone17,5 | |||
| samsung SM-A035M | |||
| Text Classification (HP) | 3799 | 134 | 2835.1% |
| iPhone17,5 | |||
| samsung SM-A035M | |||
| Text Classification (Q) | 3940 | 170 | 2317.6% |
| iPhone17,5 | |||
| samsung SM-A035M | |||
| Machine Translation (SP) | 3862 | 204 | 1893.1% |
| iPhone17,5 | |||
| samsung SM-A035M | |||
| Machine Translation (HP) | 10125 | 197 | 5139.6% |
| iPhone17,5 | |||
| samsung SM-A035M | |||
| Machine Translation (Q) | 11110 | 115 | 9660.9% |
| iPhone17,5 | |||
| samsung SM-A035M | |||
