Qualcomm Snapdragon 8+ Gen 1 vs Google Tensor G2

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CPU comparison with benchmarks


Qualcomm Snapdragon 8+ Gen 1 CPU1 vs CPU2 Google Tensor G2
Qualcomm Snapdragon 8+ Gen 1 Google Tensor G2

CPU comparison

Qualcomm Snapdragon 8+ Gen 1 or Google Tensor G2 - which processor is faster? In this comparison we look at the differences and analyze which of these two CPUs is better. We compare the technical data and benchmark results.

The Qualcomm Snapdragon 8+ Gen 1 has 8 cores with 8 threads and clocks with a maximum frequency of 3.20 GHz. Up to 16 GB of memory is supported in 4 memory channels. The Qualcomm Snapdragon 8+ Gen 1 was released in Q2/2022.

The Google Tensor G2 has 8 cores with 8 threads and clocks with a maximum frequency of 2.85 GHz. The CPU supports up to 12 GB of memory in 2 memory channels. The Google Tensor G2 was released in Q4/2022.
Qualcomm Snapdragon Family Google Tensor
Qualcomm Snapdragon 7/8 Gen 1 CPU group Google Tensor G2
1 Generation 2
Cortex-X2 / -A710 / -A510 Architecture G2
Mobile Segment Mobile
Qualcomm Snapdragon 888 Predecessor Google Tensor
-- Successor --

CPU Cores and Base Frequency

In addition to the number of CPU cores and threads, you can see here whether the Qualcomm Snapdragon 8+ Gen 1 or Google Tensor G2 can be overclocked. You will also find the clock frequencies of the processor (single-core and multi-core) here. The number of CPU cores greatly affects the speed of the processor.

8 Cores 8
8 Threads 8
hybrid (Prime / big.LITTLE) Core architecture hybrid (Prime / big.LITTLE)
No Hyperthreading No
No Overclocking ? No
3.20 GHz
1x Kryo Prime
A-Core 2.85 GHz
2x Cortex-X1
2.75 GHz
3x Kryo Gold
B-Core 2.35 GHz
2x Cortex-A78
2.00 GHz
4x Kryo Silver
C-Core 1.80 GHz
4x Cortex-A55

Internal Graphics

The Qualcomm Snapdragon 8+ Gen 1 or Google Tensor G2 has integrated graphics, called iGPU for short. The iGPU uses the system's main memory as graphics memory and sits on the processor's die. A processor with integrated graphics is also called APU (Accelerated Processing Unit).

Qualcomm Adreno 730 GPU ARM Mali-G710 MP7
0.90 GHz GPU frequency 0.90 GHz
GPU (Turbo)
7 GPU Generation Vallhall 3
4 nm Technology 4 nm
0 Max. displays 1
Execution units 7
Shader
8 GB Max. GPU Memory
12.1 DirectX Version 12

Hardware codec support

A photo or video codec that is accelerated in hardware can greatly accelerate the working speed of a processor and extend the battery life of notebooks or smartphones when playing videos.

Decode / Encode Codec h265 / HEVC (8 bit) Decode / Encode
Decode / Encode Codec h265 / HEVC (10 bit) Decode / Encode
Decode / Encode Codec h264 Decode / Encode
Decode / Encode Codec VP9 Decode / Encode
Decode / Encode Codec VP8 Decode / Encode
No Codec AV1 Decode
Decode Codec AVC Decode / Encode
Decode Codec VC-1 Decode / Encode
Decode / Encode Codec JPEG Decode / Encode

Memory & PCIe

The memory type as well as the amount of memory can greatly affect the speed of the processor. The memory bandwidth depends on several factors and is given in gigabytes per second.

LPDDR5-6400 Memory LPDDR5-5500
16 GB Max. Memory 12 GB
4 (Quad Channel) Memory channels 2 (Dual Channel)
-- Bandwidth 53.0 GB/s
No ECC No
2.00 MB L2 Cache 8.00 MB
6.00 MB L3 Cache 4.00 MB
PCIe version --
PCIe lanes

Thermal Management

The Thermal Design Power (TDP for short) specifies the necessary cooling solution to cool the processor sufficiently. The TDP usually only gives a rough idea of the real consumption of a CPU.

-- TDP (PL1 / PBP) 10 W
-- TDP (PL2) --
-- TDP up --
-- TDP down --
-- Tjunction max. --

Technical details

Here you will find information on the size of the level 2 and level 3 cache of the Qualcomm Snapdragon 8+ Gen 1 or Google Tensor G2 as well as a list of the processors ISA extensions. We have documented the architecture and the manufacturing technology for you as well as the release date.

4 nm Technology 4 nm
Chiplet Chip design Chiplet
ARMv9-A64 (64 bit) Instruction set (ISA) ARMv8-A64 (64 bit)
ISA extensions
N/A Socket N/A
None Virtualization None
No AES-NI No
Android, Windows 10 (ARM) Operating systems Android
Q2/2022 Release date Q4/2022
-- Release price --
show more data show more data



Geekbench 6 (Single-Core)

Geekbench 6 is a benchmark for modern computers, notebooks and smartphones. What is new is an optimized utilization of newer CPU architectures, e.g. based on the big.LITTLE concept and combining CPU cores of different sizes. The single-core benchmark only evaluates the performance of the fastest CPU core, the number of CPU cores in a processor is irrelevant here.

Qualcomm Snapdragon 8+ Gen 1 Qualcomm Snapdragon 8+ Gen 1
8C 8T @ 3.20 GHz
1657 (100%)
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 GHz
1426 (86%)
Show all Geekbench 6 (Single-Core) results



Geekbench 6 (Multi-Core)

Geekbench 6 is a benchmark for modern computers, notebooks and smartphones. What is new is an optimized utilization of newer CPU architectures, e.g. based on the big.LITTLE concept and combining CPU cores of different sizes. The multi-core benchmark evaluates the performance of all of the processor's CPU cores. Virtual thread improvements such as AMD SMT or Intel's Hyper-Threading have a positive impact on the benchmark result.

Qualcomm Snapdragon 8+ Gen 1 Qualcomm Snapdragon 8+ Gen 1
8C 8T @ 2.75 GHz
4087 (100%)
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 GHz
3342 (82%)
Show all Geekbench 6 (Multi-Core) results



Geekbench 5, 64bit (Single-Core)

Geekbench 5 is a cross plattform benchmark that heavily uses the systems memory. A fast memory will push the result a lot. The single-core test only uses one CPU core, the amount of cores or hyperthreading ability doesn't count.

Qualcomm Snapdragon 8+ Gen 1 Qualcomm Snapdragon 8+ Gen 1
8C 8T @ 3.20 GHz
1318 (100%)
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 GHz
1068 (81%)
Show all Geekbench 5, 64bit (Single-Core) results



Geekbench 5, 64bit (Multi-Core)

Geekbench 5 is a cross plattform benchmark that heavily uses the systems memory. A fast memory will push the result a lot. The multi-core test involves all CPU cores and taks a big advantage of hyperthreading.

Qualcomm Snapdragon 8+ Gen 1 Qualcomm Snapdragon 8+ Gen 1
8C 8T @ 2.75 GHz
4219 (100%)
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 GHz
3149 (75%)
Show all Geekbench 5, 64bit (Multi-Core) results



iGPU - FP32 Performance (Single-precision GFLOPS)

The theoretical computing performance of the internal graphics unit of the processor with simple accuracy (32 bit) in GFLOPS. GFLOPS indicates how many billion floating point operations the iGPU can perform per second.

Qualcomm Snapdragon 8+ Gen 1 Qualcomm Snapdragon 8+ Gen 1
Qualcomm Adreno 730 @ 0.90 GHz
2454 (100%)
Google Tensor G2 Google Tensor G2
ARM Mali-G710 MP7 @ 0.90 GHz
700 (29%)
Show all iGPU - FP32 Performance (Single-precision GFLOPS) results



AnTuTu 9 Benchmark

The AnTuTu 9 benchmark is very well suited to measuring the performance of a smartphone. AnTuTu 9 is quite heavy on 3D graphics and can now also use the "Metal" graphics interface. In AnTuTu, memory and UX (user experience) are also tested by simulating browser and app usage. AnTuTu version 9 can compare any ARM CPU running on Android or iOS. Devices may not be directly comparable when benchmarked on different operating systems.

In the AnTuTu 9 benchmark, the single-core performance of a processor is only slightly weighted. The rating is made up of the multi-core performance of the processor, the speed of the working memory, and the performance of the internal graphics.

Qualcomm Snapdragon 8+ Gen 1 Qualcomm Snapdragon 8+ Gen 1
8C 8T @ 3.20 GHz
0 (0%)
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 GHz
801116 (100%)
Show all AnTuTu 9 Benchmark results



Devices using this processor

Qualcomm Snapdragon 8+ Gen 1 Google Tensor G2
Unknown Google Pixel 7
Google Pixel 7 Pro

News and articles for the Qualcomm Snapdragon 8+ Gen 1 and the Google Tensor G2


Leaderboards

In our leaderboards, we have clearly compiled the best processors for specific categories for you. The leaderboards are always up to date and are regularly updated by us. The best processors are selected according to popularity and speed in benchmarks as well as the price-performance ratio.


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