First HMD phones impress mostly Mother Nature
HMD Pulse
HMD Pulse in the news
HMD launches trio of own phones; Pulse(+) and Pulse Pro
Most important HMD Pulse specifications
| Dimensions | 163.19 x 75.02 x 8.45 mm |
| Weight | 187 grams |
| Item ID | TA-1589 |
| Fingerprint recognition | |
| Android | 14 |
| Color display | 6.55 inch, TFT, hole-punch display |
| Camera | 13 MP, dual camera sensor |
| Processor | 1.6 GHz, Unisoc T606, octa core |
| Secondary camera | 8 MP |
| Dust and waterproof | |
| Sustainable | |
| Dual SIM | |
| 4G (LTE) | |
| Internal memory | 4 GB (Size (RAM)), 64 GB (Storage) |
| Battery | 5000 mAh |
| Fast charging | |
Alternatives of the HMD Pulse
Scroll the table below to see more
 |  |  |  |  |  |
| Current product | |||||
| Fingerprint recognition | |||||
| Android | 14 | 9.0 (Pie) | 10 | 13 | |
| Color display | 6.55 inch, TFT, hole-punch display | 6.8 inch, Dynamic AMOLED Infinity-O Display | 6.7 inch, Infinity-O Display, hole-punch display | 6.28 inch, Optic AMOLED, notch | 6.8 inch, Infinity-O Display, hole-punch display |
| Camera | 13 MP, dual camera sensor | 12 MP, 12 MP, 16 MP, VGA camera | 12 MP, 12 MP, 64 MP | 16 MP, 20 MP, dual camera sensor | 10 MP, 10 MP, 12 MP, 200 MP |
| Processor | 1.6 GHz, Unisoc T606, octa core | Octa core | Octa core | 2.8 GHz, Qualcomm Snapdragon 845, octa core | Qualcomm Snapdragon 8 Gen 2, octa core |
| Secondary camera | 8 MP | 10 MP | 10 MP | 16 MP | 12 MP |
| Dust and waterproof | |||||
| Sustainable | |||||
| Dual SIM | |||||
| 4G (LTE) | |||||
| Internal memory | 4 GB (Size (RAM)), 64 GB (Storage) | 12 GB (Size (RAM)), 256 GB (Storage), 512 GB (Storage) | 12 GB (Size (RAM)), 128 GB (Storage) | 6 GB (Size (RAM)), 8 GB (Size (RAM)), 128 GB (Storage), 256 GB (Storage), 64 GB (Storage) | 12 GB (Size (RAM)), 8 GB (Size (RAM)), 1 TB (Storage), 256 GB (Storage), 512 GB (Storage) |
| Battery | 5000 mAh | 4300 mAh | 4500 mAh | 3300 mAh | 5000 mAh |
| Fast charging |
Complete comparison between the HMD Pulse and these alternatives or compare with other models