Apple A15 Bionic (5-GPU) vs Apple A13 Bionic

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CPU comparison with benchmarks


Apple A15 Bionic (5-GPU) CPU1 vs CPU2 Apple A13 Bionic
Apple A15 Bionic (5-GPU) Apple A13 Bionic

CPU comparison

Apple A15 Bionic (5-GPU) or Apple A13 Bionic - 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 Apple A15 Bionic (5-GPU) has 6 cores with 6 threads and clocks with a maximum frequency of 3.23 GHz. Up to 6 GB of memory is supported in 1 memory channels. The Apple A15 Bionic (5-GPU) was released in Q3/2021.

The Apple A13 Bionic has 6 cores with 6 threads and clocks with a maximum frequency of 2.65 GHz. The CPU supports up to 4 GB of memory in 1 memory channels. The Apple A13 Bionic was released in Q3/2019.
Apple A series (22) Family Apple A series (22)
Apple A15 (2) CPU group Apple A13 (1)
15 Generation 13
A15 Architecture A13 (Lightning / Thunder)
Mobile Segment Mobile
Apple A14 Bionic Predecessor Apple A12 Bionic
Apple A16 Bionic Successor Apple A14 Bionic

CPU Cores and Base Frequency

The Apple A15 Bionic (5-GPU) has 6 CPU cores and can calculate 6 threads in parallel. The clock frequency of the Apple A15 Bionic (5-GPU) is 3.23 GHz while the Apple A13 Bionic has 6 CPU cores and 6 threads can calculate simultaneously. The clock frequency of the Apple A13 Bionic is at 2.65 GHz.

Apple A15 Bionic (5-GPU) Characteristic Apple A13 Bionic
6 Cores 6
6 Threads 6
hybrid (big.LITTLE) Core architecture hybrid (big.LITTLE)
No Hyperthreading No
No Overclocking ? No
3.23 GHz
2x Avalanche
A-Core 2.65 GHz
2x Lightning
2.02 GHz
4x Blizzard
B-Core 1.80 GHz
4x Thunder

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.

Apple A15 Bionic (5-GPU) Characteristic Apple A13 Bionic
Apple Neural Engine AI hardware Apple Neural Engine
16 Neural cores @ 15.8 TOPS AI specifications 8 Neural cores @ 6 TOPS

Internal Graphics

The Apple A15 Bionic (5-GPU) or Apple A13 Bionic 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.

Apple A15 (5 GPU Cores) GPU Apple A13
1.34 GHz GPU frequency 1.35 GHz
-- GPU (Turbo) --
12 GPU Generation 10
5 nm Technology 7 nm
3 Max. displays 1
20 Compute units 16
640 Shader 256
No Hardware Raytracing No
No Frame Generation No
6 GB Max. GPU Memory 4 GB
-- 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.

Apple A15 (5 GPU Cores) GPU Apple A13
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 No
Decode Codec AVC Decode
Decode Codec VC-1 Decode
Decode / Encode Codec JPEG Decode / Encode

Memory & PCIe

The Apple A15 Bionic (5-GPU) can use up to 6 GB of memory in 1 memory channels. The maximum memory bandwidth is 34.1 GB/s. The Apple A13 Bionic supports up to 4 GB of memory in 1 memory channels and achieves a memory bandwidth of up to 34.1 GB/s.

Apple A15 Bionic (5-GPU) Characteristic Apple A13 Bionic
LPDDR4X-4266 Memory LPDDR4X-4266
6 GB Max. Memory 4 GB
1 (Single Channel) Memory channels 1 (Single Channel)
34.1 GB/s Max. Bandwidth 34.1 GB/s
No ECC No
16.00 MB L2 Cache 8.00 MB
32.00 MB L3 Cache --
-- PCIe version --
-- PCIe lanes --
-- PCIe Bandwidth --

Thermal Management

The thermal design power (TDP for short) of the Apple A15 Bionic (5-GPU) is 7.25 W, while the Apple A13 Bionic has a TDP of 6 W. The TDP specifies the necessary cooling solution that is required to cool the processor sufficiently.

Apple A15 Bionic (5-GPU) Characteristic Apple A13 Bionic
7.25 W TDP (PL1 / PBP) 6 W
-- TDP (PL2) --
-- TDP up --
-- TDP down --
-- Tjunction max. --

Technical details

The Apple A15 Bionic (5-GPU) is manufactured in 5 nm and has 48.00 MB cache. The Apple A13 Bionic is manufactured in 7 nm and has a 8.00 MB cache.

Apple A15 Bionic (5-GPU) Characteristic Apple A13 Bionic
5 nm Technology 7 nm
Chiplet Chip design Chiplet
Armv8-A (64 bit) Instruction set (ISA) Armv8-A (64 bit)
-- ISA extensions --
-- Socket --
None Virtualization None
No AES-NI No
iOS Operating systems iOS
Q3/2021 Release date Q3/2019
-- Release price --
show more data show more data


Rate these processors

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Average performance in benchmarks

⌀ Single core performance in 2 CPU benchmarks
Apple A15 Bionic (5-GPU) (100%)
Apple A13 Bionic (77%)
⌀ Multi core performance in 3 CPU benchmarks
Apple A15 Bionic (5-GPU) (100%)
Apple A13 Bionic (73%)

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.
Apple A15 Bionic (5-GPU) Apple A15 Bionic (5-GPU)
6C 6T @ 3.23 GHz
1745 (100%)
Apple A13 Bionic Apple A13 Bionic
6C 6T @ 2.65 GHz
1336 (77%)

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.
Apple A15 Bionic (5-GPU) Apple A15 Bionic (5-GPU)
6C 6T @ 3.23 GHz
4777 (100%)
Apple A13 Bionic Apple A13 Bionic
6C 6T @ 2.65 GHz
3429 (72%)

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.
Apple A15 Bionic (5-GPU) Apple A15 Bionic (5-GPU)
6C 6T @ 3.23 GHz
2245 (100%)
Apple A13 Bionic Apple A13 Bionic
6C 6T @ 2.65 GHz
1710 (76%)

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.
Apple A15 Bionic (5-GPU) Apple A15 Bionic (5-GPU)
6C 6T @ 3.23 GHz
5402 (100%)
Apple A13 Bionic Apple A13 Bionic
6C 6T @ 2.65 GHz
3599 (67%)

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.
Apple A15 Bionic (5-GPU) Apple A15 Bionic (5-GPU)
Apple A15 (5 GPU Cores) @ 1.34 GHz
1713 (100%)
Apple A13 Bionic Apple A13 Bionic
Apple A13 @ 1.35 GHz
691 (40%)

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.
Apple A15 Bionic (5-GPU) Apple A15 Bionic (5-GPU)
6C 6T @ 3.23 GHz
825116 (100%)
Apple A13 Bionic Apple A13 Bionic
6C 6T @ 2.65 GHz
648406 (79%)

Performance for Artificial Intelligence (AI) and Machine Learning (ML)

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).
Apple A15 Bionic (5-GPU) Apple A15 Bionic (5-GPU)
6C 6T @ 3.23 GHz
15.8 (100%)
Apple A13 Bionic Apple A13 Bionic
6C 6T @ 2.65 GHz
6 (38%)

AnTuTu 8 Benchmark

The AnTuTu 8 Benchmark measures the performance of a SoC. AnTuTu benchmarks the CPU, GPU, Memory as well as the UX (User Experience) by simulating browser and app usage. AnTuTu can benchmark any ARM CPU that runs under Android or iOS. Devices may not be directly compareable if the benchmark has been performed under different operating systems.

In the AnTuTu 8 benchmark, the single-core performance of a processor is only slightly weighted. The evaluation consists of the multi-core performance of the processor, the speed of the RAM and the performance of the internal graphics.
Apple A15 Bionic (5-GPU) Apple A15 Bionic (5-GPU)
6C 6T @ 3.23 GHz
0 (0%)
Apple A13 Bionic Apple A13 Bionic
6C 6T @ 2.65 GHz
523650 (100%)

Estimated results for PassMark CPU Mark

Some of the CPUs listed below have been benchmarked by CPU-monkey. However the majority of CPUs have not been tested and the results have been estimated by a CPU-monkey’s secret proprietary formula. As such they do not accurately reflect the actual Passmark CPU mark values and are not endorsed by PassMark Software Pty Ltd.
Apple A15 Bionic (5-GPU) Apple A15 Bionic (5-GPU)
6C 6T @ 3.23 GHz
0 (0%)
Apple A13 Bionic Apple A13 Bionic
6C 6T @ 2.65 GHz
5368 (100%)

Devices using this processor

Apple A15 Bionic (5-GPU) Apple A13 Bionic
Apple iPad mini (6. Gen)
Apple iPhone 13 Pro
Apple iPhone 13 Pro Max
Apple iPhone 14
Apple iPhone 14 Plus
Apple iPhone 11
Apple iPhone 11 Pro
Apple iPhone 11 Pro Max
iPhone SE

News and articles for the Apple A15 Bionic (5-GPU) and the Apple A13 Bionic

MediaTek Dimensity 9000+ vs Apple A16 and Snapdragon 8+ Gen 1
MediaTek Dimensity 9000+ vs Apple A16 and Snapdragon 8+ Gen 1
Posted by Stefan on 2022-09-22
With the Dimensity 9000+, Mediatek presents the latest of its smartphone chips. The successor to the Mediatek Dimensity 9000 achieves higher CPU and GPU clock frequencies thanks to better binning. The CPU clock of the prime core (A core) increases from 3.0 to 3.2 GHz. And the ARM Mali-G710 MP10 GPU can now clock at 0.9 GHz (previously 0.85 GHz).

Both are a good improvement over the Dimensity 9000 in theory but the increase in performance should not usually be noticeable in practice. In the end, the overall performance of the Mediatek Dimensity 9000+ is impressive: Qualcomm Snapdragon 8+ Gen 1 is beaten in Geekbench 5 in both the single-core and multi-core benchmarks.
What we know about the new Apple A16 Bionic in Apples iPhone 14
What we know about the new Apple A16 Bionic in Apples iPhone 14
Posted by Stefan on 2022-08-23
Every year Apple releases a new iPhone series and with the release of the series always the latest Apple A processor. This has become even more important in recent years, as it has also formed the basis for Apple's M processor series since 2020. The Apple M processors are based on the same core architecture as the Apple A processors, but have been significantly upgraded in many areas such as memory bandwith, amount of memory or cache.
Qualcomm Snapdragon 8+ Gen 1 is more powerful and efficient
Qualcomm Snapdragon 8+ Gen 1 is more powerful and efficient
Posted by Stefan on 2022-07-11
Qualcomm is changing the contract manufacturer from Samsung to TSMC for the Snapdragon 8+ Gen 1. By switching to the TSMC 4 nm manufacturing process, the Snapdragon 8+ Gen 1 is not only 10 percent faster but also 15 percent more efficient than its predecessor. This makes Qualcomm's TOP SoC one of the fastest smartphone chips on the market.

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