GPUs deliver the once-esoteric technology of parallel computing. Intel NCS has a lower frame rate however the second generation, Intel NCS2 is claimed to offer up to 8X faster performance . In conclusion, an NPU is a processor that accelerates neural processing, while a GPU is a specialized processor for graphics processing. Join along for our in-depth M3 Pro/Max vs M2 Pro/Max comparison (and base M3 vs M2 too) for At first, TPU loads the parameters from memory into the matrix of multipliers and adders. Clock: 3100 MHz. Apple M1. An all-new GPU. So the output will be the summation of all multiplication result between data and parameters. 66 GHz (3. Then, the TPU loads data from memory. The Apple M2 Max (30-GPU) has 12 cores with 12 threads and clocks with a maximum Sep 19, 2023 · September 19, 2023. Considering the specifications of the Apple M1 Max chip: 10-core CPU with 8 performance cores and 2 efficiency cores; 32-core GPU; 16-core Neural Engine Core ML then seamlessly blends CPU, GPU, and ANE (if available) to create the most effective hybrid execution plan exploiting all available engines on a given device. The M1 Pro outperformed the M3 and M3 Pro but the M3 Max with 30 GPU cores pulled out in front. GPU: Apple A14 GPU. But still, I think you will get nowhere close to feeding 3000 cores beast just with evaluation function(s). Learn how Core ML works with the CPU, GPU, and Neural Engine to power on-device, privacy-preserving machine learning experiences for your apps. M2 Pro scales up the architecture of M2 to deliver an up to 12-core CPU and up to 19-core GPU, together with up to 32GB of fast unified memory. 0. Apple M3 Pro (11-CPU 14-GPU) Characteristic. Profile your app’s Core ML‑powered features using the Core ML and Neural Engine instruments. The high-performance cores are designed to offer the best Aug 2, 2023 · Central Processing Unit (CPU): The OG. 50 GHz ), has 10 CPU cores and can calculate 10 threads in parallel. 9% higher CPU clock speed (3780 vs 3460 MHz) Shows better (up to 6%) AnTuTu 10 score – 1528K vs 1446K. GPU vs. However, third party apps cannot use the Neural Engine, leading to similar neural network performance to older iPhones. The Apple M1 chip also has a 16-core Neural Engine, but it can only reach up CPU vs GPU. M4 is 23% faster than the top-tier X Elite variant. Jan 23, 2023 · The base model has a 10-core CPU and 16-core GPU, but most of the reviews out there have a step up: the full 12-core CPU and 19-core GPU. It also is more power Mar 26, 2022 · Apple is adding Neural Engines to their M1 System on a Chip (SoC) and we have recently seen Nvidia release their new Hopper H100 GPU architecture. Jun 12, 2024 · GPU: 6-core: 5-core: Neural Engine: 16-core, up to 35 trillion operations per second Apple says the CPU performance cores of the A17 Pro are up to 10% faster than the A16 Bionic and with the Sep 22, 2022 · Neural networks form the basis of deep learning (a neural network with three or more layers) and are designed to run in parallel, with each task running independently of the other. The TDP specifies the necessary cooling solution that is required to cool the processor sufficiently. 1 GB/s enabled. Mar 15, 2024 · Up to 192 GB of memory in a maximum of 8 memory channels is supported by the Apple M2 Ultra (76-GPU), while the Intel Core i9-13900KS supports a maximum of 192 GB of memory with a maximum memory bandwidth of 89. Double the Neural Engine. Tomb Raider Oct 14, 2020 · Still a six-core CPU, but faster. The single difference in render settings was GPU vs. Detection results represent the confidence score of the detection. Oct 27, 2019 · The test will compare the speed of a fairly standard task of training a Convolutional Neural Network using tensorflow==2. 1 It also delivers 50 percent more memory bandwidth compared to M1, and up to 24GB of fast unified memory. At the high end, the M1 Max's 32-core GPU is at a par with the AMD Radeon Jun 24, 2022 · Apple says that the M2 chip takes the performance per watt of the M1 even further with an 18 percent faster CPU, a 35 percent more powerful GPU, and a 40 percent faster Neural Engine. As it revealed the new iPad Air during its Time Flies event, Apple took the wraps Jun 8, 2023 · Featuring a powerful CPU, GPU, Neural Engine, high-efficiency memory architecture, and various optimizations for macOS, this chipset set a new standard for performance and power efficiency on Apple A14 Bionic. The only big factor is whether frequency is the same (and I assume they will be similar). And here the trend was again, more GPU cores means higher performance. Jun 17, 2024 · These processors integrate an advanced GPU and a neural engine that accelerates AI operations directly on the device, without the need for cloud services. It also has 16GB of RAM and a 512GB SSD for storage. The Neural Engine is also more or less the same, however, you can now get the 128GB option to run large AI models locally. Nov 1, 2023 · M3 iMac vs M1 iMac CPU, GPU, memory, neural engine. They are the world’s fastest CPU cores in low-power Jun 7, 2022 · Apple M1 vs M2: Secure Enclave and Neural Engine. It has CPU, GPU, an image processing unit (ISP), a digital signal processor, the neural engine, video encoders and decoders, a Secure Enclave, and the unified memory. Think of the CPU as the general of your computer. Only CNN benefits from GPU. The thermal design power (TDP for short) of the Apple M3 Pro (11-CPU 14-GPU) is 35 W, while the Apple M3 Pro (12-CPU 18-GPU) has a TDP of 35 W. Nov 19, 2023 · Memory & PCIe. GPU is AMD Radeon R9 M390 2GB. . In terms of NPU performance, the Snapdragon X Elite seems far more capable than Apple M3 Dec 11, 2023 · El Neural Engine de los SoC de Apple es la implementación de NPU más famosa, puesto que ya existe desde el año 2017, cuando se introdujo en el Apple A11 Bionic, el chip usado en los iPhone 8 / X. 4 teraflops. 18-core GPU featuring a next-generation AI accelerator. Apple A14 Bionic. Jan 15, 2024 · NPU vs. And the latest 16-core Neural Engine on the M2 can deliver up to 15. Nov 27, 2023 · It includes a 6-core CPU with two performance and four efficiency cores and a 16-core Neural Engine. The Apple M2 Max (38-GPU) was released in Q1/2023. Jun 29, 2019 · The GPU performance better than the CPU, by making big batches, the difference being most extreme. However, some NPUs are discrete, like the Raspberry Pi's official NPU hat. ) and logic (AND, OR, NOT, etc. Feb 2, 2024 · Qualcomm Hexagon neural processing unit (NPU) is intended to provide continuous, high-performance artificial intelligence inference while using a minimal amount of power. 8 trillion operations per second (TOPS). The neural network has ~58 million parameters and I will benchmark the performance by running it for 10 epochs on a dataset with ~10k 256x256 images loaded via generator with image Sep 26, 2023 · A neural processor, a neural processing unit ( NPU ), or simply an AI Accelerator is a specialized circuit that implements all the necessary control and arithmetic logic necessary to execute machine learning algorithms, typically by operating on predictive models such as artificial neural networks (ANNs) or random forests (RFs). Improvements beyond just the speed and efficiency of the M3 chip CPU include memory up to 24GB, a more capable media engine, and up to a 10-core 2. It lets a wide range of implementations of the same model architecture benefit from the ANE even if the entire execution cannot take place there due to idiosyncrasies of different May 9, 2024 · The Apple M4 maintains a healthy lead against the Snapdragon X Elite in CPU performance and especially, efficiency. May 17, 2024 · On the surface, the M4 is the fourth iteration of Apple's M-branded system-on-a-chip (SoC) that houses a nine or 10-core CPU, a 10-core GPU, and a 16-core Neural Engine. Apple has been increasing GPU performance by an average of around 20 percent or so with each new A-series chip, though it Feb 7, 2024 · The main thing is the neural processing unit (NPU), a specialized block on recent high-end Intel and AMD CPUs that can accelerate some kinds of generative AI and machine-learning workloads more These CPUs include a GPU instead of relying on dedicated or discrete graphics. CPU, with the CPU output on the left. NPU แตกต่างจาก CPU และ GPU อย่างไร ? Jul 19, 2015 · You would need different code for 16 cores cluster with weak GPU than on slow CPU with super fast GPU to use full capabilities of hardware. GPU. As each multiplication is executed, the result will be passed to next multipliers while taking summation at the same time. As for the M3 Max, it comes in two variants with 30-core and 40-core GPU Nov 2, 2023 · How many times M2 Max is faster than P100 for GPU Training Benefit of GPU vs CPU on M2 Max. An ALU allows arithmetic (add, subtract, etc. Mac Both CPUs and GPUs have multiple cores that execute instructions. Apple M2 Ultra (76-GPU) Characteristic. Intel Core i9-13900KS. The Neural Engine is Jun 6, 2022 · Built using second-generation 5-nanometer technology, M2 takes the industry-leading performance per watt of M1 even further with an 18 percent faster CPU, a 35 percent more powerful GPU, and a 40 percent faster Neural Engine. This difference reflects their use cases: CPUs are suited to diverse computing tasks, whereas GPUs are optimized for parallelizable workloads. Train a small neural network on a CPU to extract features from an image, then use a GPU to train a larger neural network for image classification. The graphics card is between 2X and 100X faster than the CPU. The 16-core neural engine is the same across both chips. It has 2 cores Firestorm at 3100 MHz and 4 cores Icestorm at 1800 MHz. 0-rc1 and tensorflow-gpu==2. Dec 5, 2020 · For instance, M1 memory transfer is 60% faster than the most recent iMac 27" released a few months ago equipped with a 2 666 MT/s RAM. The neural engine in the M3 is up to 60% faster than M1. Architecturally, the CPU is composed of just a few cores with lots of cache memory that can handle a few software threads at a time. It ships with Intel’s Core i7 1360P processor and Iris Xe graphics. Series 9: Series 7: Dec 27, 2023 · NPU vs. Nov 3, 2023 · Up to 36GB unified memory. Este fue evolucionando con cada generación de iPhone y iPad, llegando además a los ordenadores Mac cuando en 2020 Apple abandonó Intel y empezó Dec 13, 2022 · Topaz AI is a set of popular software tools that utilize AI and machine learning to enhance both images and video. There are two main parts of a CPU, an arithmetic-logic unit (ALU) and a control unit. Jul 12, 2022 · The M2 also receives Apple's powerful media engine and neural engine. Dec 21, 2023 · Brooks continues, "There's a lot to talk about in the GPU, but the CPU and the neural engine also get faster. At their core these systems are SIMD systems, Single-Instruction-Multiple-Data. CPU: Understanding the differences. There is also the next-generation Secure Enclave on the Apple M2 chip to provide an extra layer of security. The processor can compute 12 threads at the same time. -Apple is adding more GPU cores (which are specialised in doing well specific tasks, faster and with less energy, which increases performance per watt) other than CPUs (which are Nov 10, 2020 · The World’s Best CPU Performance per Watt. GPU for Deep Learning Nov 14, 2023 · Apple says that the M2 chip takes the performance per watt of the M1 even further with an 18 percent faster CPU, a 35 percent more powerful GPU, and a 40 percent faster Neural Engine Jan 6, 2021 · Results. Jun 20, 2024 · For example, Apple's A-Series and M-Series processors have an NPU (the so-called Apple Neural Engine) built into the CPU. 6 teraflops, therefore Aug 17, 2023 · I'm wondering if there's an option to configure it to leverage our GPU. Jun 25, 2024 · Neural processing units help support (as their name suggests) neural engines and network algorithms, and those are used in highly advanced settings like autonomous driving and natural language Testing conducted by Apple in September and October 2023 using preproduction 14-inch MacBook Pro systems with Apple M3 Max, 16-core CPU, 40-core GPU, 128GB of RAM, and 8TB SSD. Test results were slightly confounding, however. However, third-party apps cannot use the Neural Engine, leading to similar neural network performance to older iPhones. 0-rc1. Nov 1, 2023 · Moving on to the M3 Pro, it features an 18-core GPU that is 40% faster than the M1 Pro and 10% faster than the M2 Pro. 12-core CPU (6 performance cores, and 6 efficiency cores) Up to 20% faster than the M1 Pro chips. While many AI and machine learning workloads are run on GPUs, there is an important distinction between the GPU and NPU. Jan 17, 2023 · CUPERTINO, CALIFORNIA Apple today announced M2 Pro and M2 Max, two next-generation SoCs (systems on a chip) that take the breakthrough power-efficient performance of Apple silicon to new heights. Benchmarking CPU vs. M1 features an 8-core CPU consisting of four high-performance cores and four high-efficiency cores. We'll explore the latest tools for understanding and maximizing the performance of your models. Cores: 6. Oct 19, 2021 · The Nvidia equivalent would be the GeForce GTX 1660 Ti, which is slightly faster at peak performance with 5. This makes GPUs more suitable for processing the enormous data sets and complex mathematical data used to train neural networks. So a 16 core will be 10-12% faster than a 14 core. Oct 13, 2022 · CPU, GPU, and Neural Engine CPU. Activity. May 26, 2017 · One good example I've found of comparing CPU vs. Each of the high-performance cores provides industry-leading performance for single-threaded tasks, while running as efficiently as possible. From Wikipedia: The neural engine allows Apple to implement neural network and machine learning in a more energy-efficient manner than using either the main CPU or the GPU. 37 billion transistors. For GPU, it should scale linearly. Jun 7, 2022 · Apple announced its Apple Silicon M2 processors today, saying that the new second-gen chips offer up to 18% more performance in unspecified multi-threaded CPU-focused tasks, while the revamped Jul 15, 2021 · Apple now designs the on-chip GPU (rather than an on-chip GPU from Intel or separate GPU chips from NVIDIA or AMD) Custom Apple accelerators from the iPhone and iPad chips are now available on the Mac, such as the Apple Neural Engine (ANE) System RAM is soldered directly to the CPU package and shared by the CPU, GPU, and ANE cores. Much we still don’t know about A14. Apple A14 Bionic – an 6-core chipset that was announced on September 15, 2020, and is manufactured using a 5-nanometer process technology. In addition, there’s a 4-core GPU found on the iPhone 13 and iPhone 13 mini, while the Pro Sep 6, 2022 · สำหรับชื่อเรียกอื่น ๆ เช่น Neural Network Processor (NNP), Intelligence Processing Unit (IPU) หรือ Vision Processing Unit (VPU) เป็นต้น. CPU/GPUs deliver space, cost, and energy efficiency benefits over dedicated graphics processors. Final Cut Pro 10. Reading this Reddit hardly and hardly find the Jan 23, 2023 · This version comes with an M2 Pro chip featuring a 10-core CPU, 16-core GPU and 16-core neural engine. app showed the Radeon GPU was fully running for its best performance all through the But given what we know about cpu and GPU scaling, it is pretty easy to make a ball park guess. For videos, Topaz Video AI can do everything from upscaling, slow motion, deinterlacing Feb 18, 2024 · Comparison of CPU vs GPU for Model Training. 1. When gaming in Shadow of the Tomb Raider and hitting both the CPU and GPU, the M2 consumes somewhat more power than when Google Pixel 4 XL - Clearly White - 64GB -. Testing conducted by Apple in April and May 2023 using preproduction Mac Studio systems with Apple M2 Max, 12-core CPU, 38-core GPU, 96GB of RAM, and 8TB SSD. Feb 22, 2024 · Thermal Management. 6 tested using a 1-minute picture-in-picture project with 10 streams of Apple ProRes 422 video at 8192x4320 resolution and 30 frames per second. An AI accelerator, deep learning processor or neural processing unit ( NPU) is a class of specialized hardware accelerator [1] or computer system [2] [3] designed to accelerate artificial intelligence and machine learning applications, including artificial neural networks and computer vision. A CPU, or Central Processing Unit, executes instructions of a computer program or the operating system, performing most computing tasks. The peak performance of the high end variant with 8 cores is 2. It is possible Apple decided to limit Jun 13, 2022 · CPU Efficiency Cores: 4: 4: 2: 2: 4: GPU Cores: 8 or 10: 7 or 8: 14 or 16: 24 or 32: 48 or 64: When Apple introduced the M1, it brought its famous Neural Engine from the A-series chips to the Aug 10, 2022 · Apple M1 Max with 10-core CPU, 32-core GPU, 16-core Neural Engine – +$700; With the 16-inch model already starting with the top-end M1 Pro chip, the upgrades to the two M1 Max Nov 1, 2023 · M3 Pro (11-core CPU, 14-core GPU, up to 12-core CPU, 18-core GPU)) or M3 Max (14-core CPU, 30-core GPU, up to 16-core CPU, 40-core GPU) Part of that work is done by the Neural Engine on the M3 In this case, higher is better. Characteristic. In the past, with the previous version of TensorFlow, it was often observed that MLP and LSTM were more efficiently trained on the CPU than GPU. These are processors with built-in graphics and offer many benefits. Apple M2 Pro (12-CPU 19-GPU) Feb 18, 2021 · I wasn’t expecting there to be any difference in quality—just speed of processing. If the CPU is weak and GPU is strong, the user may face a bottleneck on CPU usage. 249. 9 tested using a 1-minute picture-in-picture project with multiple streams of Apple ProRes 422 video at 8192x4320 resolution and 30 frames per second Feb 17, 2023 · Apple Neural Engine is a marketing name for a cluster of highly specialized compute cores optimized for the energy-efficient execution of deep neural networks on Apple devices. Easily integrate models in your app using automatically generated Swift and Objective‑C interfaces. 6 GB/s enabled. CPU vs. In contrast, a GPU is composed of hundreds of cores that can handle thousands of threads simultaneously. NPU is distinguished from Oct 4, 2021 · The few concrete factoids about the A15 were that Apple is using new designs for their CPUs, a faster Neural engine, a new 4- or 5-core GPU depending on the iPhone variant, and a whole new display Apr 20, 2023 · Quick description of Central Processing Unit VS Graphics processing Unit VS Neural processing Unit Oct 30, 2023 · Apple compared its latest M3 CPU and GPU performance against a 12-core PC laptop, the $1,299 MSI Prestige 13Evo A13M-050US. Explore your model’s behavior and performance before writing a single line of code. 6. Currently, it is only available in two configurations (where one variant has more processing cores than the other) on the 2024 iPad Pro. Has a smaller size transistor (3 versus 4 nm) Performs 20% better in floating-point computations. Nov 7, 2023 · GPU Cores: 10: 14 or 18: 30 or 40: Neural Engine Cores: 16: 16: 16: Transistors (B) the Neural Engine is made to handle machine learning tasks better than the CPU alone. For reinforcement learning you often don't want that many layers in your neural network and we found that we only needed a few layers with few parameters. Up to 16 GB of memory in a maximum of 2 memory channels is supported by the Apple M1, while the Apple A14 Bionic supports a maximum of 6 GB of memory with a maximum memory bandwidth of 34. Dec 14, 2023 · 14- or 18-core GPU; 16-core Neural Engine; 36GB, 48GB, 128GB of RAM; Because the M-series Macs integrate the GPU, the CPU the RAM onto the same system on chip (SoC) the GPU and CPU can May 10, 2024 · While FPGAs may not be as mighty as other processors, they are typically more efficient. หน้าตา TPU ของ Google. My main machine, MacBook Pro 15” with Core i7 and Radeon Pro, worked very well. Running ML Tools on Apple Silicon Optimize your Core ML usage. The Adreno GPU on X Elite doesn't outrank the Apple M3 GPU, however, it competes with the older Apple M2 GPU. (Credit: Intel) When Intel’s “Meteor Lake” processors launch, they’ll feature not just CPU cores spread across two on-chip tiles, alongside an on-die GPU portion, but Jul 2, 2020 · Inference time is the time of objects being detected in a single frame and the CPU usage represents the co-processor utilization. According to Apple it is faster and more energy efficient as competing products (like the Tiger Lake Xe GPU ). Neural Network performance in feed-forward, backpropagation and update of parameters in GPU and CPU. The Apple Neural Engine (or ANE) is a type of NPU, which stands for Neural Processing Unit. The neural engine allows Apple to implement neural network and machine learning in a more energy-efficient manner than using either the main CPU or the GPU. Up to 96 GB of memory is supported in 4 memory channels. For the S9 GPU, Apple says it’s 30% faster than the S8 and the Neural Engine is twice as fast. There We would like to show you a description here but the site won’t allow us. It delivers moderate upgrades in CPU and GPU and has, in fact, regressed in the memory department. But now, with the recent version of TensorFlow things have changed for LSTM. Prerelease Final Cut Pro 10. However, Apple could soon add more Jul 18, 2021 · We cannot exclude CPU from any machine learning setup because CPU provides a gateway for the data to travel from source to GPU cores. On the photo and image side, Topaz offers Gigapixel AI to upscale images, Sharpen AI to sharpen images, and DeNoise AI to remove image noise. However, the FPGA’s reconfigurable cores allow for custom optimizations that may be better suited for specific applications and workloads. It accelerates machine learning (ML) and artificial intelligence (AI) algorithms, offering tremendous speed, memory, and power advantages over the main CPU or GPU. ) operations to be carried out. Mar 8, 2022 · "With its powerful CPU, massive GPU, incredible Neural Engine, ProRes hardware acceleration, and huge amount of unified memory, M1 Ultra completes the M1 family as the world’s most powerful and Xcode integration. The Media Engine, except for AV1 decode, is also the same. 95 USD (Amazon) The Apple M2 8-core GPU is an integrated graphics card offering 8 of the 10 cores designed by Apple and integrated in the Apple M2 Apr 4, 2024 · Apple Watch Series 7 vs 9 SiP – Processor, GPU, Neural Engine. Most new iPhones and iPads have a Neural Engine, a special processor that makes machine learning models really fast, but not much is publicly known about how this processor actually works. CPU cores are designed for complex, single-threaded tasks, while GPU cores handle many simpler, parallel tasks. 6 tested using a 1-minute picture-in-picture project with 22 streams of Apple ProRes 422 video at 8192x4320 resolution and 30 frames per second. Common to all these systems is that they aim to increase performance through the utilization of data parallelism. CPUs are not as powerful as specialized Jan 30, 2024 · The Apple M2 Pro (12-CPU 19-GPU) is a 12 core processor with a clock frequency of 0. Plus, they provide the horsepower to handle processing of graphics-related data and instructions for 2. The Apple M2 Pro (10-CPU 16-GPU) clocks with 0. Pros of Apple A17 Pro. Notice the jagged diagonal lines in the image on the right. Comparison, Pros and Cons. However, in NPU performance, Snapdragon X Elite delivers 45 TOPS whereas the Apple M4 Sep 7, 2022 · Taking a look at the image below, you will see that the A16 Bionic shares similarities with the same number of GPU and Neural Engine cores as the A15 Bionic. GPU performance was when I trained a poker bot using reinforcement learning. Core ML is tightly integrated with Xcode. However, something to note is that for me, anything over 25-30 tokens per second is above reading speed. We compare the technical data and benchmark results. Specifically, I'm interested in harnessing the power of the 32-core GPU and the 16-core Neural Engine in my setup. This is particularly useful for applications requiring low latency and high energy efficiency, such as voice and facial recognition, computational photography, and augmented reality applications. GPU and then running more code on the faster machine would be desirable. Stronger CPUs promises faster data transfer hence promising faster calculations. The Apple M2 Max (38-GPU) has 12 cores with 12 threads and clocks with a maximum frequency of 3. For $2,499, you can get the model May 23, 2024 · The CPU performance of Snapdragon X Elite and Apple M3 Pro is nearly matching, however, in terms of performance-per-watt, Apple has a slight lead. 50 GHz ). Nov 3, 2023 · The Apple M3 seems to be a decent upgrade over the M2. While GPUs (graphics processing units) are proficient at parallel processing and are often used in machine learning, NPUs take specialization a Simply put, the 1TB Air we tested has a 10-core GPU, while the 256GB model has only 8 cores, so lower framerates are to be expected. For cpu, it depends if the apps you run will make use of all 8 cores. Conversion settings: Gaia-CG v5, scaling 640x480 to 1440x1080, saved as MP4. The 6-core Adreno GPU on Snapdragon X Elite is no match for the 10-core GPU on Apple M4. It's like a GPU, but instead of accelerating graphics an NPU The GPU is one area where the A17 could potentially be very interesting. In artificial intelligence, CPUs can execute neural network operations such as small-scale deep learning tasks or running inference for lightweight and efficient models. For deep learning applications, such as processing large datasets, GPUs are favored. And due to the Unified Memory Architecture, it eliminates memory transfers between CPU, GPU and Neural Engine even more increasing the performances gap with Intel architectures. 50 GHz. The M1 chip includes an 8-core CPU with four high-performance cores and four high-efficiency cores. Testing conducted by Apple in April and May 2023 using preproduction Mac Studio systems with Apple M2 Ultra, 24-core CPU, 76-core GPU, 192GB of RAM, and 8TB SSD. We'll also show you how to generate reports to easily understand your model Nov 3, 2023 · With more powerful CPUs, GPUs, and media engines, the chips also support up to 128GB of unified memory.
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