Apple A15 Bionic (4-GPU) vs NVIDIA Tegra X1
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CPU comparison with benchmarks
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| Apple A15 Bionic (4-GPU) | NVIDIA Tegra X1 | |
CPU comparisonApple A15 Bionic (4-GPU) or NVIDIA Tegra X1 - 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 (4-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 (4-GPU) was released in Q3/2021. The NVIDIA Tegra X1 has 8 cores with 8 threads and clocks with a maximum frequency of 2.00 GHz. The CPU supports up to 8 GB of memory in 2 memory channels. The NVIDIA Tegra X1 was released in Q1/2017. |
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| Apple A series (22) | Family | NVIDIA Tegra (2) |
| Apple A15 (2) | CPU group | NVIDIA Tegra X1 (2) |
| 15 | Generation | 2 |
| A15 | Architecture | Cortex-A57/-A53 |
| Mobile | Segment | Mobile |
| -- | Predecessor | -- |
| -- | Successor | -- |
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CPU Cores and Base FrequencyThe Apple A15 Bionic (4-GPU) is a 6 core processor with a clock frequency of 3.23 GHz. The NVIDIA Tegra X1 has 8 CPU cores with a clock frequency of 2.00 GHz. |
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| Apple A15 Bionic (4-GPU) | Characteristic | NVIDIA Tegra X1 |
| 6 | Cores | 8 |
| 6 | Threads | 8 |
| hybrid (big.LITTLE) | Core architecture | hybrid (big.LITTLE) |
| No | Hyperthreading | No |
| No | Overclocking ? | No |
| 3.23 GHz 2x Avalanche |
A-Core | 2.00 GHz 4x Cortex-A57 |
| 2.02 GHz 4x Blizzard |
B-Core | 2.00 GHz 4x Cortex-A53 |
Artificial Intelligence and Machine LearningProcessors 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. |
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| Apple A15 Bionic (4-GPU) | Characteristic | NVIDIA Tegra X1 |
| Apple Neural Engine | AI hardware | -- |
| 16 Neural cores @ 15.8 TOPS | AI specifications | -- |
Internal GraphicsThe integrated graphics unit of a processor is not only responsible for the pure image output on the system, but can also significantly increase the efficiency of the system with the support of modern video codecs. |
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| Apple A15 (4 GPU Cores) | GPU | NVIDIA Tegra X1 (Maxwell) |
| 1.34 GHz | GPU frequency | 0.30 GHz |
| -- | GPU (Turbo) | 1.00 GHz |
| 12 | GPU Generation | 1 |
| 5 nm | Technology | 20 nm |
| 3 | Max. displays | 1 |
| 16 | Compute units | 2 |
| 512 | Shader | 256 |
| No | Hardware Raytracing | No |
| No | Frame Generation | No |
| 6 GB | Max. GPU Memory | 2 GB |
| -- | DirectX Version | 12 |
Hardware codec supportA 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. |
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| Apple A15 (4 GPU Cores) | GPU | NVIDIA Tegra X1 (Maxwell) |
| Decode / Encode | Codec h265 / HEVC (8 bit) | Decode |
| Decode / Encode | Codec h265 / HEVC (10 bit) | Decode |
| Decode / Encode | Codec h264 | Decode / Encode |
| Decode / Encode | Codec VP9 | Decode |
| Decode / Encode | Codec VP8 | Decode |
| No | Codec AV1 | No |
| Decode | Codec AVC | Decode |
| Decode | Codec VC-1 | Decode |
| Decode / Encode | Codec JPEG | Decode / Encode |
Memory & PCIeThe Apple A15 Bionic (4-GPU) supports a maximum of 6 GB of memory in 1 memory channels. The NVIDIA Tegra X1 can connect up to 8 GB of memory in 2 memory channels. |
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| Apple A15 Bionic (4-GPU) | Characteristic | NVIDIA Tegra X1 |
| LPDDR4X-4266 | Memory | LPDDR4-3200 |
| 6 GB | Max. Memory | 8 GB |
| 1 (Single Channel) | Memory channels | 2 (Dual Channel) |
| 34.1 GB/s | Max. Bandwidth | 25.6 GB/s |
| No | ECC | No |
| 16.00 MB | L2 Cache | 2.50 MB |
| 32.00 MB | L3 Cache | -- |
| -- | PCIe version | -- |
| -- | PCIe lanes | -- |
| -- | PCIe Bandwidth | -- |
Thermal ManagementThe TDP (Thermal Design Power) of a processor specifies the required cooling solution. The Apple A15 Bionic (4-GPU) has a TDP of 7.25 W, that of the NVIDIA Tegra X1 is 7 W. |
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| Apple A15 Bionic (4-GPU) | Characteristic | NVIDIA Tegra X1 |
| 7.25 W | TDP (PL1 / PBP) | 7 W |
| -- | TDP (PL2) | -- |
| -- | TDP up | -- |
| -- | TDP down | 5 W |
| -- | Tjunction max. | -- |
Technical detailsThe Apple A15 Bionic (4-GPU) has a 48.00 MB cache, while the NVIDIA Tegra X1 cache has a total of 2.50 MB. |
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| Apple A15 Bionic (4-GPU) | Characteristic | NVIDIA Tegra X1 |
| 5 nm | Technology | 20 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 | |
| Q3/2021 | Release date | Q1/2017 |
| -- | Release price | -- |
| show more data | show more data | |
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Rate these processors
Average performance in benchmarks
⌀ Single core performance in 1 CPU benchmarks
⌀ Multi core performance in 1 CPU benchmarks
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.
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Apple A15 Bionic (4-GPU)
6C 6T @ 3.23 GHz |
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NVIDIA Tegra X1
8C 8T @ 2.00 GHz |
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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.
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Apple A15 Bionic (4-GPU)
6C 6T @ 3.23 GHz |
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NVIDIA Tegra X1
8C 8T @ 2.00 GHz |
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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.
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Apple A15 Bionic (4-GPU)
Apple A15 (4 GPU Cores) @ 1.34 GHz |
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NVIDIA Tegra X1
NVIDIA Tegra X1 (Maxwell) @ 1.00 GHz |
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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.
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Apple A15 Bionic (4-GPU)
6C 6T @ 3.23 GHz |
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NVIDIA Tegra X1
8C 8T @ 2.00 GHz |
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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.
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Apple A15 Bionic (4-GPU)
6C 6T @ 3.23 GHz |
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NVIDIA Tegra X1
8C 8T @ 2.00 GHz |
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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.
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.
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Apple A15 Bionic (4-GPU)
6C 6T @ 3.23 GHz |
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NVIDIA Tegra X1
8C 8T @ 2.00 GHz |
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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).
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Apple A15 Bionic (4-GPU)
6C 6T @ 3.23 GHz |
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NVIDIA Tegra X1
8C 8T @ 2.00 GHz |
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Devices using this processor |
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| Apple A15 Bionic (4-GPU) | NVIDIA Tegra X1 |
| Apple iPhone 13 mini Apple iPhone 13 |
NVIDIA Shield (1. Gen) Nintendo Switch |
News and articles for the Apple A15 Bionic (4-GPU) and the NVIDIA Tegra X1
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