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Google Tensor G2 vs. Apple A15 Bionic (5-GPU)


Cpu Benchmark with benchmarks

Google Tensor G2
Apple A15 Bionic (5-GPU)
Google Tensor G2 Apple A15 Bionic (5-GPU)
2.85 GHz Frequency 3.23 GHz
2.85 GHz Turbo (1 Core) 3.23 GHz
1.80 GHz Turbo (All Cores) 2.02 GHz
8 Cores 6
No Hyperthreading ? No
No Overclocking ? No
hybrid (Prime / big.LITTLE) Core architecture hybrid (big.LITTLE)
ARM Mali-G710 MP7 GPU Apple A15 (5 GPU Cores)
DirectX Version
1 Max. displays 3
LPDDR5-5500 Memory LPDDR4X-4266
2 Memory channels 1
12 GB Max. Memory 6 GB
No ECC No
8.00 MB L2 Cache 16.00 MB
4.00 MB L3 Cache 32.00 MB
PCIe version
PCIe lanes
4 nm Technology 5 nm
N/A Socket N/A
10 W TDP 8.5 W
None Virtualization None
Q4/2022 Release date Q3/2021
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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.

Google Tensor G2 1068 (48%)
48% Complete
78% Complete

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.

Google Tensor G2 3149 (6%)
6% Complete
10% Complete

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.

Google Tensor G2 700 (3%)
3% Complete
7% Complete
Google Tensor G2 vs. Apple A15 Bionic (5-GPU) - Cpu Benchmark Specs & Test
4.2 of 44 rating(s)
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