BENCHMARK CPU SPEED TEST CODE

FPU Julia test is HyperThreading, multi-processor (SMP) and multi-core (CMP) aware.

BENCHMARK CPU SPEED TEST CODE

The code behind this benchmark method is written in Assembly, and it is extremely optimized for every popular AMD, Intel and VIA processor core variants by utilizing the appropriate x87, 3DNow!, 3DNow!+, SSE, AVX, AVX2, FMA, FMA4 and AVX-512 instruction set extension. This benchmark measures the single precision (also known as 32-bit) floating-point performance through the computation of several frames of the popular 'Julia' fractal. CPU Hash benchmark is hardware accelerated on VIA PadLock Security Engine capable VIA C7, VIA Nano and VIA QuadCore processors. The code behind this benchmark method is written in Assembly, and it is optimized for every popular AMD, Intel and VIA processor core variants by utilizing the appropriate MMX, MMX+/SSE, SSE2, SSSE3, AVX, AVX2, XOP, BMI, BMI2 and AVX-512 instruction set extension. This benchmark measures CPU performance using the SHA1 hashing algorithm defined in the Federal Information Processing Standards Publication 180-4. The test is HyperThreading, multi-processor (SMP) and multi-core (CMP) aware. AES is used in several compression tools today, like 7z, RAR, WinZip, and also in disk encryption solutions like BitLocker, FileVault (Mac OS X), TrueCrypt.ĬPU AES test uses the appropriate x86, MMX and SSE4.1 instructions, and it's hardware accelerated on VIA PadLock Security Engine capable VIA C3, VIA C7, VIA Nano and VIA QuadCore processors and on Intel AES-NI instruction set extension and the future VAES capable processors. In cryptography AES is a symmetric-key encryption standard. This benchmark measures CPU performance using AES (Advanced Encryption Standard) data encryption. CPU ZLib test uses only the basic x86 instructions, and it is HyperThreading, multi-processor (SMP) and multi-core (CMP) aware. This integer benchmark measures combined CPU and memory subsystem performance through the public ZLib compression library. CPU PhotoWorxx test uses the appropriate x87, MMX, MMX+, 3DNow!, 3DNow!+, SSE, SSE2, SSSE3, SSE4.1, SSE4A, AVX, AVX2, XOP and AVX-512 instruction set extension and it is NUMA, HyperThreading, multi-processor (SMP) and multi-core (CMP) aware. This benchmark stresses the SIMD integer arithmetic execution units of the CPU and also the memory subsystem. Fill the image with random colored pixels.It performs the following tasks on a very large RGB image: This benchmark performs different common tasks used during digital photo processing. CPU Queen test uses integer MMX, SSE2 and SSSE3 optimizations. For example - with HyperThreading disabled - the Intel Northwood core processors get higher scores than the Intel Prescott core based ones due to the 20-step vs 31-step long pipeline. At the same clock speed theoretically the processor with the shorter pipeline and smaller misprediction penalties will attain higher benchmark scores. It finds the solutions for the classic 'Queens problem' on a 10 by 10 sized chessboard. This simple integer benchmark focuses on the branch prediction capabilities and the misprediction penalties of the CPU. Memory latency time means the penalty measured from the issuing of the read command until the data arrives to the integer registers of the CPU. The Memory Latency benchmark measures the typical delay when the CPU reads data from system memory. The code behind these benchmark methods are written in Assembly and they are extremely optimized for every popular AMD, Intel and VIA processor achieveablecore variants by utilizing the appropriate x86/圆4, x87, MMX, MMX+, 3DNow!, SSE, SSE2, SSE4.1, AVX, AVX2 and AVX-512 instruction set extension. Memory bandwidth benchmarks (Memory Read, Memory Write, Memory Copy) measure the maximum achievable memory data transfer bandwidth. Both FP32 and FP64 Ray-Trace test is HyperThreading, multi-processor (SMP) and multi-core (CMP) aware. The code behind this benchmark method is written in Assembly, and it is extremely optimized for every popular AMD, Intel and VIA processor core variants by utilizing the appropriate x87, SSE, SSE2, SSE3, SSSE3, SSE4.1, AVX, AVX2, XOP, FMA, FMA4 and AVX-512 instruction set extension. These benchmarks measure the single and double precision (also known as 32-bit and 64-bit) floating-point performance through the computation of a scene with a SIMD-enhanced ray tracing engine. It also supports multi-processor, multi-core and HyperThreading enabled systems. These benchmarks are synthetic, so their results show only the theoretical (maximum) performance of the system.ĬPU and FPU benchmarks of AIDA64 Extreme are built on the multi-threaded AIDA64 Benchmark Engine that supports up to 1280 simultaneous processing threads. Benchmark pages of AIDA64 Extreme provide several methods to measure system performance.

Benchmark cpu speed test