Google Tensor G3 Benchmark, Test and specs

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The Google Tensor G3 is a 8 core processor. It can process 8 threads concurrently and is based on the 3. gen of the Google Tensor series. The processor was released in Q3/2023. The Google Tensor G3 scores 1,267 points with one CPU core in the Geekbench 5 benchmark. When using all CPU cores, the result is 3,631 points.
Google Tensor G3

CPU lineage

Here you can see which group the Google Tensor G3 belongs to and which processor is the predecessor of the Google Tensor G3.

Name: Google Tensor G3
Family: Google Tensor (3)
CPU group: Google Tensor G3 (1)
Architecture: G3
Segment: Mobile
Generation: 3
Predecessor: Google Tensor
Successor: --

CPU Cores and Base Frequency

The 8 CPU cores of the Google Tensor G3 clock with 2.91 GHz. The number of CPU cores and the clock frequency of the processor are largely responsible for the overall performance.

CPU Cores / Threads: 8 / 8
Core architecture: hybrid (Prime / big.LITTLE)
A-Core: 1x Cortex-X3
B-Core: 4x Cortex-A715
C-Core: 4x Cortex-A510
Hyperthreading / SMT: No
Overclocking: No
A-Core Frequency: 2.91 GHz
B-Core Frequency: 2.37 GHz
C-Core Frequency: 1.70 GHz

Artificial Intelligence and Machine Learning

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. Algorithms for ML improve their performance the more data they have collected via software. ML tasks can be processed up to 10,000 times faster than with a classic processor.

AI hardware: Google Tensor AI
AI specifications: Google Edge TPU

Internal Graphics

With the ARM Immortalis-G715 MP10, the Google Tensor G3 has an build in graphic solution. It has 10 SM processors, which have a total of -- texture shaders. The iGPU not only enables games, but also significantly accelerates video playback.

GPU name: ARM Immortalis-G715 MP10
GPU frequency: 0.89 GHz
GPU (Turbo): No turbo
Compute units: 10
Shader: --
Hardware Raytracing: No
Release date: Q4/2022
Max. displays: 0
Generation: Vallhall
Direct X: 12
Technology: 4 nm
Max. GPU Memory: --
Frame Generation: No

Hardware codec support

Processors that have an integrated graphics can play videos faster and more efficiently. This can have a positive effect on the battery life of notebooks, for example.

h265 / HEVC (8 bit): Decode / Encode
h265 / HEVC (10 bit): Decode / Encode
h264: Decode / Encode
VP8: Decode / Encode
VP9: Decode / Encode
AV1: Decode / Encode
AVC: Decode / Encode
VC-1: Decode / Encode
JPEG: Decode / Encode

Memory & PCIe

The Google Tensor G3 supports up to 12 GB memory in up to 2 (Dual Channel) memory channels. This results in a maximum memory bandwidth of 53.0 GB/s.

Memory type: Memory bandwidth:
LPDDR5-5500
53.0 GB/s
Max. Memory: 12 GB
Memory channels: 2 (Dual Channel)
ECC: No
PCIe:
PCIe Bandwidth: --

Thermal Management

With the TDP, the processor manufacturer specifies the cooling solution required for the processor. The Google Tensor G3 has a TDP of 10 W.

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

Technical details

The Google Tensor G3 has a 0.00 MB large cache. The processor is manufactured in 4 nm. Modern production increases the efficiency of the processor.

Technology: 4 nm
Chip design: Chiplet
Socket: --
L2-Cache: --
L3-Cache: --
AES-NI: No
Operating systems: Android
Virtualization: None
Instruction set (ISA): Armv9-A (64 bit)
ISA extensions: --
Release date: Q3/2023
Release price: --
Part Number: --
Documents: --

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Benchmark results

Verified Benchmark results
The benchmark results for the Google Tensor G3 have been carefully checked by us. We only publish benchmark results that have been created by us or that have been submitted by a visitor and then checked by a team member. All results are based on and fullfill our benchmark guidelines.

Screenshots:

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.
Intel Xeon Gold 5317 Intel Xeon Gold 5317
12C 24T @ 3.60 GHz
1268
Intel Xeon Silver 4309Y Intel Xeon Silver 4309Y
8C 16T @ 3.60 GHz
1268
Intel Xeon W-2245 Intel Xeon W-2245
8C 16T @ 4.70 GHz
1268
Google Tensor G3 Google Tensor G3
8C 8T @ 2.91 GHz
1267
Intel Core i7-10700F Intel Core i7-10700F
8C 16T @ 4.80 GHz
1267
Intel Core i7-10700 Intel Core i7-10700
8C 16T @ 4.80 GHz
1267
AMD Ryzen Threadripper PRO 3995WX AMD Ryzen Threadripper PRO 3995WX
64C 128T @ 4.20 GHz
1266

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.
AMD Ryzen 5 1500X AMD Ryzen 5 1500X
4C 8T @ 3.30 GHz
3642
Intel Core i7-4771 Intel Core i7-4771
4C 8T @ 3.60 GHz
3640
Intel Core i5-9400T Intel Core i5-9400T
6C 6T @ 2.80 GHz
3634
Google Tensor G3 Google Tensor G3
8C 8T @ 2.91 GHz
3631
Intel Core i5-6600K Intel Core i5-6600K
4C 4T @ 3.60 GHz
3631
Intel Core i7-7920HQ Intel Core i7-7920HQ
4C 8T @ 3.70 GHz
3627
Intel Core i5-8260U Intel Core i5-8260U
4C 8T @ 2.60 GHz
3624

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.
AMD Ryzen 5 5600H AMD Ryzen 5 5600H
6C 12T @ 4.20 GHz
1764
Intel Xeon W-1290 Intel Xeon W-1290
10C 20T @ 5.20 GHz
1763
AMD Ryzen 5 5600HS AMD Ryzen 5 5600HS
6C 12T @ 4.20 GHz
1762
Google Tensor G3 Google Tensor G3
8C 8T @ 2.91 GHz
1759
AMD Ryzen 5 3600XT AMD Ryzen 5 3600XT
6C 12T @ 4.50 GHz
1759
Intel Core i7-1160G7 Intel Core i7-1160G7
4C 8T @ 4.40 GHz
1758
AMD Ryzen 9 PRO 6950H AMD Ryzen 9 PRO 6950H
8C 16T @ 4.90 GHz
1755

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.
Intel Core i5-9600T Intel Core i5-9600T
6C 6T @ 3.20 GHz
4561
Intel Xeon E5-1680 v2 Intel Xeon E5-1680 v2
8C 16T @ 3.00 GHz
4558
Intel Core i3-10305T Intel Core i3-10305T
4C 8T @ 3.70 GHz
4534
Google Tensor G3 Google Tensor G3
8C 8T @ 2.91 GHz
4533
Intel Xeon E3-1575M v5 Intel Xeon E3-1575M v5
4C 8T @ 3.00 GHz
4524
Valve Steam Deck (2023 Refresh) Valve Steam Deck (2023 Refresh)
4C 8T @ 2.80 GHz
4510
Intel Xeon E5-2620 v3 Intel Xeon E5-2620 v3
6C 12T @ 2.80 GHz
4485

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.
MediaTek MT6572M MediaTek MT6572M
ARM Mali-400 @ 0.40 GHz
4
Samsung Exynos 3110 Samsung Exynos 3110
PowerVR SGX540 @ 0.20 GHz
3
MediaTek MT6575M MediaTek MT6575M
PowerVR SGX531 @ 0.28 GHz
2
Google Tensor G3 Google Tensor G3
ARM Immortalis-G715 MP10 @ 0.89 GHz
1
MediaTek Dimensity 9200+ MediaTek Dimensity 9200+
ARM Immortalis-G715 MP11 @ 0.98 GHz
1
MediaTek Dimensity 9200 MediaTek Dimensity 9200
ARM Immortalis-G715 MP11 @ 0.98 GHz
1
MediaTek Dimensity 9000+ MediaTek Dimensity 9000+
ARM Mali-G710 MP10 @ 0.90 GHz
1

AnTuTu 10 Benchmark

The AnTuTu 10 benchmark is one of the best-known benchmarks for mobile processors, which is now available in version 10. There is a version for Android-based smartphones and tablets, as well as a version for Apple mobile devices, i.e. iPhones and iPads.

The Antutu 10 benchmark has 3 phases. In the first phase, the device's RAM is tested, in phase 2 the graphics are tested and in the final phase the entire device is pushed to its performance limits by rendering 3D graphics.

Antutu 10 is therefore ideal for comparing the performance of different devices.
MediaTek Dimensity 8300 MediaTek Dimensity 8300
8C 8T @ 3.35 GHz
1468250
Apple A16 Bionic Apple A16 Bionic
6C 6T @ 3.46 GHz
1394590
Samsung Exynos 2200 Samsung Exynos 2200
8C 8T @ 2.80 GHz
1128320
Google Tensor G3 Google Tensor G3
8C 8T @ 2.91 GHz
1106280
Qualcomm Snapdragon 7 Gen 3 Qualcomm Snapdragon 7 Gen 3
8C 8T @ 2.63 GHz
769286
Samsung Exynos 1480 Samsung Exynos 1480
8C 8T @ 2.75 GHz
742548
Qualcomm QCM6490 Qualcomm QCM6490
8C 8T @ 2.71 GHz
673946

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 @ 3.00 GHz
948574
Apple A16 Bionic Apple A16 Bionic
6C 6T @ 3.46 GHz
947502
Samsung Exynos 2200 Samsung Exynos 2200
8C 8T @ 2.80 GHz
917364
Google Tensor G3 Google Tensor G3
8C 8T @ 2.91 GHz
894587
Qualcomm Snapdragon 888+ Qualcomm Snapdragon 888+
8C 8T @ 3.00 GHz
825450
Apple A15 Bionic (5-GPU) Apple A15 Bionic (5-GPU)
6C 6T @ 3.23 GHz
825116
MediaTek Dimensity 8000 MediaTek Dimensity 8000
8C 8T @ 2.75 GHz
820000

Benchmarks





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