Google Tensor G2 vs AMD EPYC 7F72

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CPU comparison with benchmarks


Google Tensor G2 CPU1 vs CPU2 AMD EPYC 7F72
Google Tensor G2 AMD EPYC 7F72

CPU comparison

Google Tensor G2 or AMD EPYC 7F72 - 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 Google Tensor G2 has 8 cores with 8 threads and clocks with a maximum frequency of 2.85 GHz. Up to 12 GB of memory is supported in 2 memory channels. The Google Tensor G2 was released in Q4/2022.

The AMD EPYC 7F72 has 24 cores with 48 threads and clocks with a maximum frequency of 3.70 GHz. The CPU supports up to GB of memory in 8 memory channels. The AMD EPYC 7F72 was released in Q2/2020.
Google Tensor (3) Family AMD EPYC (129)
Google Tensor G2 (1) CPU group AMD EPYC 7002 (24)
2 Generation 2
G2 Architecture Rome (Zen 2)
Mobile Segment Desktop / Server
Google Tensor Predecessor --
-- Successor --

CPU Cores and Base Frequency

The Google Tensor G2 has 8 CPU cores and can calculate 8 threads in parallel. The clock frequency of the Google Tensor G2 is 2.85 GHz while the AMD EPYC 7F72 has 24 CPU cores and 48 threads can calculate simultaneously. The clock frequency of the AMD EPYC 7F72 is at 3.20 GHz (3.70 GHz).

Google Tensor G2 Characteristic AMD EPYC 7F72
8 Cores 24
8 Threads 48
hybrid (Prime / big.LITTLE) Core architecture normal
No Hyperthreading Yes
No Overclocking ? No
2.85 GHz
2x Cortex-X1
A-Core 3.20 GHz (3.70 GHz)
2.35 GHz
2x Cortex-A78
B-Core --
1.80 GHz
4x Cortex-A55
C-Core --

NPU AI performance

The performance values of the processor's AI unit. The isolated NPU performance is specified here, the total AI performance (NPU+CPU+iGPU) can be higher. Processors with support for artificial intelligence (AI) and machine learning (ML) can process many calculations, especially audio, image and video processing, much faster than classic processors.

Google Tensor G2 Characteristic AMD EPYC 7F72
Google Tensor AI AI hardware --
Google Edge TPU @ 4 TOPS AI specifications --
-- NPU + CPU + iGPU --

Integrated graphics (iGPU)

The Google Tensor G2 or AMD EPYC 7F72 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.

ARM Mali-G710 MP7 GPU no iGPU
0.90 GHz GPU frequency --
-- GPU (Turbo) --
Vallhall 3 GPU Generation --
4 nm Technology
1 Max. displays
7 Compute units --
-- Shader --
No Hardware Raytracing No
No Frame Generation No
-- Max. GPU Memory --
12 DirectX Version --

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.

ARM Mali-G710 MP7 GPU no iGPU
Decode / Encode Codec h265 / HEVC (8 bit) No
Decode / Encode Codec h265 / HEVC (10 bit) No
Decode / Encode Codec h264 No
Decode / Encode Codec VP9 No
Decode / Encode Codec VP8 No
Decode Codec AV1 No
Decode / Encode Codec AVC No
Decode / Encode Codec VC-1 No
Decode / Encode Codec JPEG No

Memory & PCIe

The Google Tensor G2 can use up to 12 GB of memory in 2 memory channels. The maximum memory bandwidth is 53.0 GB/s. The AMD EPYC 7F72 supports up to GB of memory in 8 memory channels and achieves a memory bandwidth of up to 51.2 GB/s.

Google Tensor G2 Characteristic AMD EPYC 7F72
LPDDR5-5500 Memory DDR4-3200
12 GB Max. Memory
2 (Dual Channel) Memory channels 8 (Octa Channel)
53.0 GB/s Max. Bandwidth 51.2 GB/s
No ECC Yes
8.00 MB L2 Cache --
4.00 MB L3 Cache 192.00 MB
-- PCIe version 4.0
-- PCIe lanes 128
-- PCIe Bandwidth 252.0 GB/s

Thermal Management

The thermal design power (TDP for short) of the Google Tensor G2 is 10 W, while the AMD EPYC 7F72 has a TDP of 240 W. The TDP specifies the necessary cooling solution that is required to cool the processor sufficiently.

Google Tensor G2 Characteristic AMD EPYC 7F72
10 W TDP (PL1 / PBP) 240 W
-- TDP (PL2) --
-- TDP up --
-- TDP down --
-- Tjunction max. --

Technical details

The Google Tensor G2 is manufactured in 4 nm and has 12.00 MB cache. The AMD EPYC 7F72 is manufactured in 7 nm and has a 192.00 MB cache.

Google Tensor G2 Characteristic AMD EPYC 7F72
4 nm Technology 7 nm
Chiplet Chip design Chiplet
Armv8-A (64 bit) Instruction set (ISA) x86-64 (64 bit)
-- ISA extensions SSE4a, SSE4.1, SSE4.2, AVX2, FMA3
-- Socket SP3
None Virtualization AMD-V, SVM
No AES-NI Yes
Android Operating systems Windows 10, Linux
Q4/2022 Release date Q2/2020
-- Release price 2450 $
show more data show more data


Rate these processors

Here you can rate the Google Tensor G2 to help other visitors make their purchasing decisions. The average rating is 4.1 stars (25 ratings). Rate now:
Here you can rate the AMD EPYC 7F72 to help other visitors make their purchasing decisions. The average rating is 0 stars (0 ratings). Rate now:


Average performance in benchmarks

⌀ Single core performance in 2 CPU benchmarks
Google Tensor G2 (95%)
AMD EPYC 7F72 (100%)
⌀ Multi core performance in 2 CPU benchmarks
Google Tensor G2 (20%)
AMD EPYC 7F72 (100%)

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 Google Tensor G2
8C 8T @ 2.85 GHz
1068 (91%)
AMD EPYC 7F72 AMD EPYC 7F72
24C 48T @ 3.70 GHz
1175 (100%)

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 Google Tensor G2
8C 8T @ 2.85 GHz
3149 (15%)
AMD EPYC 7F72 AMD EPYC 7F72
24C 48T @ 3.50 GHz
20479 (100%)

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.
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 GHz
1426 (98%)
AMD EPYC 7F72 AMD EPYC 7F72
24C 48T @ 3.70 GHz
1454 (100%)

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.
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 GHz
3342 (24%)
AMD EPYC 7F72 AMD EPYC 7F72
24C 48T @ 3.50 GHz
13674 (100%)

Cinebench R20 (Single-Core)

Cinebench R20 is the successor of Cinebench R15 and is also based on the Cinema 4 Suite. Cinema 4 is a worldwide used software to create 3D forms. The single-core test only uses one CPU core, the amount of cores or hyperthreading ability doesn't count.
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 GHz
0 (0%)
AMD EPYC 7F72 AMD EPYC 7F72
24C 48T @ 3.70 GHz
425 (100%)

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 Google Tensor G2
ARM Mali-G710 MP7 @ 0.90 GHz
700 (100%)
AMD EPYC 7F72 AMD EPYC 7F72
@ 0.00 GHz
0 (0%)

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.
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 GHz
789419 (100%)
AMD EPYC 7F72 AMD EPYC 7F72
24C 48T @ 3.20 GHz
0 (0%)

AI performance (NPU)

The performance values of the processor's AI unit. The isolated NPU performance is given here, the total AI performance (NPU+CPU+iGPU) can be higher.

Processors with the support of artificial intelligence (AI) and machine learning (ML) can process many calculations, especially audio, image and video processing, much faster than classic processors. The performance is given in the number (trillions) of arithmetic operations per second (TOPS).
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 GHz
4 (100%)
AMD EPYC 7F72 AMD EPYC 7F72
24C 48T @ 3.20 GHz
0 (0%)

Devices using this processor

Google Tensor G2 AMD EPYC 7F72
Google Pixel 7
Google Pixel 7 Pro
Unknown

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