Comparisons 03-12-2021
Comprehensive comparison data of Mediatek Dimensity 1200 Max vs Google Tensor, testing of graphics processors (GPU). A careful review of all the specifications of the processors, so that it can be easier to read, is made by the table. From the video comparison, you can get the results of joint testing in special test applications such as AnTuTu, Vellamo, GFXBench, Quadrant, 3DMark, Geekbench, PassMark, Neocore, PCMark, even the gaming performance of chipsets in Minecraft, Madout2, PUBG, Call of Duty, Fortnite, GTA, Asphalt 9 etc.
After reading the results of joint tests and videos, you can already make an informed decision about which processors is better to buy Dimensity 1200 Max or Tensor.
Summary benchmark resultsAs a percentage of the maximum value based on a sample from the entire base of all processors
CPU Benchmark
Based on Antutu and Geekbench score| Dimensity 1200 Max | 95% |
Tensor | 99% |
Battery life test
Power Consumption efficiency (how quickly the processor reduces the battery charge)| Dimensity 1200 Max | 87% |
Tensor | 84% |
Gaming performance
Which CPU is better for gaming| Dimensity 1200 Max | 89% |
Tensor | 94% |
Antutu 8Antutu benchmark separately tests the performance of the CPU, GPU, and memory speed | Dimensity 1200 Max |
Tensor | | Total score | 691455 | 798643 | | CPU | 163368 | 242744 | | GPU | 139627 | 264574 | | MEM | 106600 | 147863 | | UX | 93142 | 128575 |
GeekBench 5.2This benchmark shows Multi-threaded and Single-threaded processor performance | Dimensity 1200 Max |
Tensor | | Single-Core | 1470 | 1045 | | Multi-Core | 4564 | 2869 |
Comparison of specifications
CPU and Memory | Dimensity 1200 Max |
Tensor | | Frequency | 3100 MHz | 2800 MHz | | Cores | 8 | 8 | | Bit | 64 | 64 | | Lithography | 6 nm | 5 nm | | Transistors count | 5800 millions | | | Core configuration | 1x3.1 GHz ARM Cortex-A78
3x2.7 GHz ARM Cortex-A78
4x2.0 GHz ARM Cortex-A55 | 2x2.8 GHz Cortex-X1
2x2.26 GHz Cortex-A76
4x1.8 GHz Cortex-A55 | | Power consumption (TDP) | 10 W | 10 W | | Memory type | LPDDR4x | LPDDR5 (Quad Channel) | | Max. Memory | 16 Gb | 16 Gb | | Memory Frequency | 4266 | 3200 | | Memory bandwidth | 29 | 51.2 | | Neural Processor (NPU) | Yes | Yes | | L1 cache | 32 KB | 1 MB | | L2 cache | 320 KB | 2 MB | | L3 cache | 8 MB | 8 MB | | Instruction set architecture (ISA) | ARMv8-A | ARMv8.2-A |
In this comparison block, you should pay attention to the differences in clock speed and the number of cores. Here Dimensity 1200 Max is 9% better than Tensor in terms of CPU frequency. Also keep in mind that high CPU frequency affects battery life through power consumption.
GPU and Media| GPU | Mali-G77 MP11 | Mali-G78 MP22 | | GPU Frequency | 800 MHz | 650 MHz | | GFloPS | 786 | 986 | | # of Cores | 11 | 22 | | # of Shader Units | | | | Display | 2520 x 1080 pixels | 4096 x 2160 pixels |
The frequency of the GPU does not always directly indicate its performance. To fully evaluate all the capabilities of a graphics chip, you should take into account the number of Shader Units and Cores, as well as how many GFlops it has.
Gaming benchmark| Fortnite Mobile | | | | PlayerUnknown's Battlegrounds (PUBG Mobile) | | | | Garena Free Fire - The Cobra | | | | Call of Duty: Mobile | | | | Grand Theft Auto V (GTA 5 Mobile) | | | | Minecraft: Pocket Edition | | | | Real Racing 3 | | | | Sniper 3D | | | | Need for Speed No Limits | | | | Mortal Kombat X | | | | CSR Racing 2 | | |
The numbers in this table indicate the maximum FPS that was received on the device with the corresponding processor. Depending on the configuration of the gadget and graphics quality settings (Ultra, Medium, Normal), the results may differ quite significantly. We recommend that you better study the results of the Antutu 8 and GeekBench 5.2 becnmarks.
Cameras| Camera resolution | 200 MP | 240 MP | | Dual Camera resolution | 32 MP | 48 MP | | Image Signal Processor (ISP) | | Hybrid Exynos + Google ISP | | Video Encoding FPS | 240 | 60 | | Video Encoding resolution | 4K, 2K, FullHD | 8K, 4K (Ultra HD), 2K, FullHD | | Codec support | H.264, H.265/HEVC | Dolby Vision, H.264/AVC, H.265/HEVC, HDR10+, HLG, HDR10 |
Networks and Navigation| Modem | Sub 6GHz 5G Multi-Mode | Exynos Modem 5123 | | Download speed | 4700 MBit/s. | 7350 MBit/s. | | Upload speed | 2500 MBit/s. | 3670 MBit/s. | | Navigation | GPS L1CA+L5, BeiDou B1I+ B2a, Galileo E1 + E5a, QZSS L1CA+ L5, Glonass L1OF, NavIC | Beidou, NavIC, GNSS, GPS, NavIC enabled, QZSS, Dual frequency GNSS, SBAS, GLONASS, Galileo | | NFC support | Yes | Yes | | 5G support | Yes | Yes |
Result:
The number of parameters for which Mediatek Dimensity 1200 Max is better: 9
The number of parameters for which Google Tensor is better: 17
You need to understand that you should not blindly trust the software comparison of the table. It is better to just watch the full video of joint testing and hear what people think who really appreciated the capabilities of both SoCs, as well as read the test results at the links below.
• Devices lists
• Benchmarks
• PUBG mobile
• Fortnite Mobile
• Antutu 8
• 3DMark
• GeekBench 5 mobile
CPU Versus Battle
• Vs Apple M1
• Qualcomm Snapdragon G3x Gen 1 Vs Mediatek Dimensity 1200 Max
• MediaTek Dimensity 9000 Vs Mediatek Dimensity 1200 Max
• Vs Qualcomm Snapdragon 8 Gen 1
• Vs Qualcomm Snapdragon 898
• Samsung Exynos 2200 Vs Mediatek Dimensity 1200 Max
• Vs Qualcomm Snapdragon 895
• Vs Qualcomm Snapdragon 888 Pro
• Vs Qualcomm Snapdragon 888 Plus
• Vs Qualcomm Snapdragon 875
• Vs Qualcomm Snapdragon 888
• Devices lists
• Benchmarks
• PUBG mobile
• Fortnite Mobile
• Antutu 8
• 3DMark
• GeekBench 5 mobile
CPU Versus Battle
• Qualcomm Snapdragon G3x Gen 1 Vs Google Tensor
• MediaTek Dimensity 9000 Vs Google Tensor
• Qualcomm Snapdragon 8 Gen 1 Vs Google Tensor
• Samsung Exynos 2200 Vs Google Tensor
• MediaTek Dimensity 1300 Vs Google Tensor
• MediaTek Dimensity 8100 Vs Google Tensor
• MediaTek Dimensity 8000 Vs Google Tensor
• Qualcomm Snapdragon 7 Gen 1 Vs Google Tensor
• MediaTek Kompanio 1300T Vs Google Tensor
• HiSilicon Kirin 9000L Vs Google Tensor
• MediaTek Dimensity 1050 Vs Google Tensor
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