Apple M3 (8-GPU) vs NVIDIA Tegra X1
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CPU comparison with benchmarks
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| Apple M3 (8-GPU) | NVIDIA Tegra X1 | |
CPU comparisonApple M3 (8-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 M3 (8-GPU) has 8 cores with 8 threads and clocks with a maximum frequency of 4.06 GHz. Up to 24 GB of memory is supported in 2 memory channels. The Apple M3 (8-GPU) was released in Q4/2023. 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 M series (25) | Family | NVIDIA Tegra (2) |
| Apple M3 (6) | CPU group | NVIDIA Tegra X1 (2) |
| 3 | Generation | 2 |
| M3 | Architecture | Cortex-A57/-A53 |
| Mobile | Segment | Mobile |
| Apple M2 (8-GPU) | Predecessor | -- |
| -- | Successor | -- |
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CPU Cores and Base FrequencyThe Apple M3 (8-GPU) is a 8 core processor with a clock frequency of 0.70 GHz (4.06 GHz). The NVIDIA Tegra X1 has 8 CPU cores with a clock frequency of 2.00 GHz. |
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| Apple M3 (8-GPU) | Characteristic | NVIDIA Tegra X1 |
| 8 | Cores | 8 |
| 8 | Threads | 8 |
| hybrid (big.LITTLE) | Core architecture | hybrid (big.LITTLE) |
| No | Hyperthreading | No |
| No | Overclocking ? | No |
| 0.70 GHz (4.06 GHz) 4x P-Core |
A-Core | 2.00 GHz 4x Cortex-A57 |
| 0.74 GHz (2.75 GHz) 4x E-Core |
B-Core | 2.00 GHz 4x Cortex-A53 |
NPU AI performanceThe 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. |
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| Apple M3 (8-GPU) | Characteristic | NVIDIA Tegra X1 |
| Apple Neural Engine | AI hardware | -- |
| 16 Neural cores @ 35 TOPS | AI specifications | -- |
| -- | NPU + CPU + iGPU | -- |
Integrated graphics (iGPU)The 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 M3 (8 Core) | GPU | NVIDIA Tegra X1 (Maxwell) |
| 0.39 GHz | GPU frequency | 0.30 GHz |
| 1.40 GHz | GPU (Turbo) | 1.00 GHz |
| -- | GPU Generation | 1 |
| 3 nm | Technology | 20 nm |
| 2 | Max. displays | 1 |
| 128 | Compute units | 2 |
| 1024 | Shader | 256 |
| Yes | Hardware Raytracing | No |
| No | Frame Generation | No |
| 24 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 M3 (8 Core) | 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 | Codec VP8 | Decode |
| Decode | Codec AV1 | No |
| Decode | Codec AVC | Decode |
| Decode | Codec VC-1 | Decode |
| Decode / Encode | Codec JPEG | Decode / Encode |
Memory & PCIeThe Apple M3 (8-GPU) supports a maximum of 24 GB of memory in 2 memory channels. The NVIDIA Tegra X1 can connect up to 8 GB of memory in 2 memory channels. |
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| Apple M3 (8-GPU) | Characteristic | NVIDIA Tegra X1 |
| LPDDR5-6400 | Memory | LPDDR4-3200 |
| 24 GB | Max. Memory | 8 GB |
| 2 (Dual Channel) | Memory channels | 2 (Dual Channel) |
| 102.4 GB/s | Max. Bandwidth | 25.6 GB/s |
| No | ECC | No |
| 20.00 MB | L2 Cache | 2.50 MB |
| -- | L3 Cache | -- |
| 4.0 | PCIe version | -- |
| -- | PCIe lanes | -- |
| -- | PCIe Bandwidth | -- |
Thermal ManagementThe TDP (Thermal Design Power) of a processor specifies the required cooling solution. The Apple M3 (8-GPU) has a TDP of 22 W, that of the NVIDIA Tegra X1 is 7 W. |
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| Apple M3 (8-GPU) | Characteristic | NVIDIA Tegra X1 |
| 22 W | TDP (PL1 / PBP) | 7 W |
| -- | TDP (PL2) | -- |
| -- | TDP up | -- |
| 10 W | TDP down | 5 W |
| 100 °C | Tjunction max. | -- |
Technical detailsThe Apple M3 (8-GPU) has a 20.00 MB cache, while the NVIDIA Tegra X1 cache has a total of 2.50 MB. |
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| Apple M3 (8-GPU) | Characteristic | NVIDIA Tegra X1 |
| 3 nm | Technology | 20 nm |
| Chiplet | Chip design | Chiplet |
| Armv8-A (64 bit) | Instruction set (ISA) | Armv8-A (64 bit) |
| Rosetta 2 x86-Emulation | ISA extensions | -- |
| -- | Socket | -- |
| Apple Virtualization Framework | Virtualization | None |
| Yes | AES-NI | No |
| macOS, iPadOS | Operating systems | |
| Q4/2023 | 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 M3 (8-GPU)
8C 8T @ 4.06 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 M3 (8-GPU)
8C 8T @ 4.06 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 M3 (8-GPU)
Apple M3 (8 Core) @ 1.40 GHz |
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NVIDIA Tegra X1
NVIDIA Tegra X1 (Maxwell) @ 1.00 GHz |
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Cinebench 2024 (Single-Core)
The Cinebench 2024 benchmark is based on the Redshift rendering engine, which is also used in Maxon's 3D program Cinema 4D. The benchmark runs are each 10 minutes long to test whether the processor is limited by its heat generation.
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Apple M3 (8-GPU)
8C 8T @ 4.06 GHz |
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NVIDIA Tegra X1
8C 8T @ 2.00 GHz |
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Cinebench 2024 (Multi-Core)
The Multi-Core test of the Cinebench 2024 benchmark uses all cpu cores to render using the Redshift rendering engine, which is also used in Maxons Cinema 4D. The benchmark run is 10 minutes long to test whether the processor is limited by its heat generation.
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Apple M3 (8-GPU)
8C 8T @ 4.06 GHz |
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NVIDIA Tegra X1
8C 8T @ 2.00 GHz |
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Cinebench R23 (Single-Core)
Cinebench R23 is the successor of Cinebench R20 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.
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Apple M3 (8-GPU)
8C 8T @ 4.06 GHz |
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NVIDIA Tegra X1
8C 8T @ 2.00 GHz |
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Cinebench R23 (Multi-Core)
Cinebench R23 is the successor of Cinebench R20 and is also based on the Cinema 4 Suite. Cinema 4 is a worldwide used software to create 3D forms. The multi-core test involves all CPU cores and taks a big advantage of hyperthreading.
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Apple M3 (8-GPU)
8C 8T @ 4.06 GHz |
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NVIDIA Tegra X1
8C 8T @ 2.00 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 M3 (8-GPU)
8C 8T @ 4.06 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 M3 (8-GPU)
8C 8T @ 4.06 GHz |
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NVIDIA Tegra X1
8C 8T @ 2.00 GHz |
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CPU performance per watt (efficiency)
Efficiency of the processor under full load in the Cinebench R23 (multi-core) benchmark. The benchmark result is divided by the average energy required (CPU package power in watts). The higher the value, the more efficient the CPU is under full load.
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Apple M3 (8-GPU)
10,437 CB R23 MC @ 22 W |
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NVIDIA Tegra X1
2.00 GHz |
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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).
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 M3 (8-GPU)
8C 8T @ 0.70 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 M3 (8-GPU) | NVIDIA Tegra X1 |
| Apple iMac 24 (2023) | NVIDIA Shield (1. Gen) Nintendo Switch |
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