System Benchmarks: AIDA64 / Cinebench r11.5
In this section, we will be using a combination of synthetic benchmarks which stress the CPU and system in a number of different domains. Most of these tests are easy to acquire or are completely free to use so anyone reading this article can easily repeat our tests on their own systems.
To vary the results as much as possible, we have chosen a selection of benchmarks which focus upon varied instruction sets (SSE, SSE3, 3DNow!, AVX, etc.) and different internal CPU components like the floating point units and general processing stages.
AIDA64 Extreme Edition
AIDA64 uses a suite of benchmarks to determine general performance and has quickly become one of the de facto standards among end users for component comparisons. While it may include a great many tests, we used it for general CPU testing (CPU ZLib / CPU Hash) and floating point benchmarks (FPU VP8 / FPU SinJulia).
CPU ZLib Benchmark
This integer benchmark measures combined CPU and memory subsystem performance through the public ZLib compression library. CPU ZLib test uses only the basic x86 instructions but is nonetheless a good indicator of general system performance.
CPU Hash Benchmark
This benchmark measures CPU performance using the SHA1 hashing algorithm defined in the Federal Information Processing Standards Publication 180-3. The code behind this benchmark method is written in Assembly. More importantly, it uses MMX, MMX+/SSE, SSE2, SSSE3, AVX instruction sets, allowing for increased performance on supporting processors.
RESULTS: AMD’s APUs are able to pull ahead in these first benchmarks and sometimes lead Intel’s competing processors by a wide amount. However, the A10-5800K is only slightly faster than its predecessor despite its significantly higher clock speeds.
FPU VP8 / SinJulia Benchmarks
AIDA’s FPU VP8 benchmark measures video compression performance using the Google VP8 (WebM) video codec Version 0.9.5 and stresses the floating point unit. The test encodes 1280x720 resolution video frames in 1-pass mode at a bitrate of 8192 kbps with best quality settings. The content of the frames are then generated by the FPU Julia fractal module. The code behind this benchmark method utilizes MMX, SSE2 or SSSE3 instruction set extensions.
Meanwhile, SinJulia measures the extended precision (also known as 80-bit) floating-point performance through the computation of a single frame of a modified "Julia" fractal. The code behind this benchmark method is written in Assembly, and utilizes trigonometric and exponential x87 instructions.
RESULTS: These benchmarks provide a very yin and yang view of the new A10-5800K, mostly due to instruction set support. While x86 supporting applications allow it to pull slightly ahead of Llano and the lower end Intel processors, a lack of x87 support causes it to lag far behind every other processor in the SinJulia test.
CineBench r11.5 64-bit
The latest benchmark from MAXON, Cinebench R11.5 makes use of all your system's processing power to render a photorealistic 3D scene using various different algorithms to stress all available processor cores. The test scene contains approximately 2,000 objects containing more than 300,000 total polygons and uses sharp and blurred reflections, area lights and shadows, procedural shaders, antialiasing, and much more. This particular benchmarking can measure systems with up to 64 processor threads. The result is given in points (pts). The higher the number, the faster your processor.
RESULTS: This is another benchmark which the A10 lags behind the previous generation processors, once again due to the instruction sets and code paths being used within CineBench r11.5. While AMD may state that programs are moving towards updated programming languages, many applications still stick with older instructions which results in poor performance for Piledriver CPU cores.
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