Snapdragon 7s gen 2 Antutu Score is 577891 and it was tested on Redmi 13 pro. This is the overall score of the Snapdragon 7s Gen 2.
To find the detailed Antutu score and other specifications of the 7s Gen 2, please read the entire post below. You can check all the specifications to gather comprehensive information about this processor.
Contents
Snapdragon 7s gen 2 Antutu Score
Antutu Score
| Snapdragon 7s gen 2 | |
|---|---|
| Overall | 577891 |
| CPU | 191439 |
| GPU | 116692 |
| MEM | 123858 |
| UX | 145902 |
The Antutu benchmark score you see above was conducted on the Redmi 13 pro for Snapdragon 7s gen 2. And yes, The score is influenced by the condition of the phones during the Antutu test, and each time you might not get the same score, it varies depending on various factors.
Also Read: Snapdragon 6 gen 1 vs 7s gen 2
Snapdragon 7s gen 2 Specifications
CPU
| Snapdragon 7s gen 2 | |
|---|---|
| Architecture | 4x 2.4 GHz – Cortex A78 4x 1.95 GHz – Cortex A55 |
| Cores | Octa (8) |
| Bit | 64-bit |
| Fabrication | 4 nm |
GPU
| Snapdragon 7s gen 2 | |
|---|---|
| Type | Adreno 710 |
| Video Encoding | H.265, HEVC, H.264, AVC |
| Video Playback | 4K @ 30FPS |
Display
| Snapdragon 7s gen 2 | |
|---|---|
| Resolution | 2520 x 1080 (FHD+) |
| Refresh Rate | FHD+ @ 144 Hz |
Memory and Storage
| Snapdragon 7s gen 2 | |
|---|---|
| Memory Type | LPDDR5 |
| Max Frequency | 3200 MHz |
| Max size | N/A |
| Storage Type | UFS 3.1 |
Connectivity
| Snapdragon 7s gen 2 | |
|---|---|
| Technologies | 5G mmWave, LTE support for CBRS, HSPA, sub-6 GHz, Dynamic Spectrum Sharing, TDD, LTE, WCDMA, FDD, SA (standalone), TD-SCDMA, EV-DO, NSA, mmWave-sub6 aggregation |
| Max Download Speed | Up to 2.9 Gbps |
| Max Upload Speed | N/A |
| Wi-Fi | Wi-Fi 6E 5 (a/b/g/n/ac/ax) |
| Bluetooth | 5.2 |
Camera
| Snapdragon 7s gen 2 | |
|---|---|
| Max Camera ISP | Single 200 MP Dual N/A Triple N/A |
| Max Video Capture | 4K @ 30 fps |
| Features | Multi-frame Noise Reduction, AI-Based De-Noising Engine, Deep-Learning Face Detection and Deep-Learning Facial Landmark Detection |
