NDK รองรับ ARM Advanced SIMD ซึ่งโดยทั่วไปเรียกว่า Neon ซึ่งเป็นส่วนขยายชุดคำสั่งที่ไม่บังคับสำหรับ ARMv7 และ ARMv8 Neon มีคำสั่งและรีจิสเตอร์แบบสเกลาร์/เวกเตอร์ (ใช้ร่วมกับ FPU) ที่เทียบเท่ากับ MMX/SSE/3DNow!
ในโลก x86
อุปกรณ์ Android ทั้งหมดที่ใช้ ARMv8 ("arm64") รองรับ Neon อุปกรณ์ Android ที่ใช้ ARMv7
("32 บิต") เกือบทั้งหมดรองรับ Neon รวมถึงอุปกรณ์ทั้งหมดที่จัดส่งพร้อม
API ระดับ 21 ขึ้นไป NDK จะเปิดใช้ Neon โดยค่าเริ่มต้นสำหรับทั้ง ABI ของ Arm
หากกำหนดเป้าหมายเป็นอุปกรณ์รุ่นเก่ามาก คุณสามารถกรองอุปกรณ์ที่ไม่รองรับใน
Google Play Console ได้ นอกจากนี้ คุณยังใช้คอนโซลสำหรับแอปเพื่อดูจำนวนอุปกรณ์ที่จะได้รับผลกระทบได้ด้วย
[null,null,["อัปเดตล่าสุด 2025-08-25 UTC"],[],[],null,["# Neon support\n\nThe NDK supports ARM Advanced SIMD, commonly known as Neon, an optional\ninstruction set extension for ARMv7 and ARMv8. Neon provides scalar/vector\ninstructions and registers (shared with the FPU) comparable to MMX/SSE/3DNow!\nin the x86 world.\n\nAll ARMv8-based (\"arm64\") Android devices support Neon. Almost all ARMv7-based\n(\"32-bit\") Android devices support Neon, including all devices that shipped with\nAPI level 21 or later. The NDK enables Neon by default for both Arm ABIs.\n\nIf you target very old devices, you can filter out incompatible devices on the\nGoogle Play Console. You can also use the console for your app to see how many\ndevices this would affect.\n\nAlternatively, for maximum compatibility, 32-bit code can perform runtime\ndetection to confirm that Neon code can be run on the target device. An app can\nperform this check using any of the options mentioned in\n[CPU features](/ndk/guides/cpu-features).\n\nYou should not write explicit Neon intrinsics in your C/C++ code. Clang's\n[portable vector types](https://clang.llvm.org/docs/LanguageExtensions.html#vectors-and-extended-vectors) will automatically use Neon instructions. Clang's Neon\nintrinsics are actually just a non-portable wrapper around the portable types,\nso writing Neon intrinsics will not make your code any faster than using the\nportable types, just less portable.\n\nBuild\n-----\n\n| **Note:** For NDK r21 and newer Neon is enabled by default for all API levels. If you need to disable Neon to support non-Neon devices (which are rare), invert the settings described below. Alternatively, the Play Store console can be used to [exclude CPUs](https://support.google.com/googleplay/android-developer/answer/7353455) that do not support Neon to prevent your application from being installed on those devices.\n\nDisable Neon globally\n---------------------\n\n### ndk-build\n\nndk-build does not support disabling Neon globally. To disable Neon an entire\nndk-build application, apply the per-module steps to every module in your\napplication.\n\n### CMake\n\nPass `-DANDROID_ARM_NEON=ON` when invoking CMake. If building with Android\nStudio/Gradle, set the following option in your build.gradle: \n\n android {\n defaultConfig {\n externalNativeBuild {\n cmake {\n arguments \"-DANDROID_ARM_NEON=OFF\"\n }\n }\n }\n }\n\nDisable Neon per module\n-----------------------\n\n### ndk-build\n\nTo build all the source files in an ndk-build module without Neon, add the\nfollowing to the module definition in your Android.mk: \n\n LOCAL_ARM_NEON := false\n\n### CMake\n\nTo build all the source files in a CMake target without Neon, add the\nfollowing to your CMakeLists.txt: \n\n if(ANDROID_ABI STREQUAL armeabi-v7a)\n set_target_properties(${TARGET} PROPERTIES COMPILE_FLAGS -mfpu=vfpv3-d16)\n endif()\n\nWhere `${TARGET}` is replaced with the name of your library.\n\nCross-platform support for x86\n------------------------------\n\n\nNDK supports cross-platform compilation of your existing ARM SIMD (Neon)\ninstrinsic functions into x86 SSE code, through the use of the third-party\n[NEON_2_SSE.h](https://github.com/intel/ARM_NEON_2_x86_SSE).\nFor more information on this topic, see\n[From ARM NEON to Intel SSE-the automatic porting solution, tips and tricks](http://software.intel.com/en-us/blogs/2012/12/12/from-arm-neon-to-intel-mmxsse-automatic-porting-solution-tips-and-tricks).\n\nSample code\n-----------\n\nThe [vectorization sample](https://github.com/android/ndk-samples/tree/main/vectorization) demonstrates how to use a variety of vectorization\ntools to implement a matrix multiply, and compares their performance."]]
