offline
- Aco
- Moderator foruma
- Pridružio: 12 Maj 2006
- Poruke: 16823
- Gde živiš: /home/aco
|
Sandra Lite 2016 (22.10)
+ Izmene;BROAD OPERATING SYSTEM SUPPORT:
- All current OS versions supported: Windows 10 RTM, 8.1, 8, 7; Server 2016, 2012/R2 and 2008/R2
- New Benchmark Module: GPGPU Image Processing (common filters: blur, sharpen, sobel, median/de-noise) supporting all modern interfaces (CUDA, OpenCL, DirectX ComputeShader)
- New Benchmark Module: CPU Image Processing (common filters: blur, sharpen, sobel, median/de-noise) supporting all modern vectorised SIMD instruction sets (FMA, AVX, SSE2)
- New OpenGL Compute Support: Ported GPGPU benchmarks to OpenGL (4.3+) Compute Shader (Fractals, Crypto, Image Processing)
- New GPU Precision: FP16/half-float precision benchmarks (Financial, Scientific)
- New CPU Test: 64-bit Integer Dhrystone measuring 64-bit integer workload performance.
- New Transcode Test: HEVC/H.265 media transcode test, brand-new high-bitrate master AVC1 media file 1080p and UHD/4K (commercial versions) for UHD/4K, 3K, 1440p transcoding benchmarking.
- Updated Benchmark: Updated Overall Score (2016) by adding new benchmarks to the index.
- New Operating System Support: Full support for Windows 10 RTM, 8.1, 8, 7 as well as Server 2016, 2012/R2, 2008/R2.
- New Hardware Support: Modern and future hardware support.
CPU, GPGPU IMAGE PROCESSING - Common filters: blur, sharpen, sobel, median/de-noise:
Image/photo manipulation is an increasing common task with GPGPUs increasingly used to accelerate filter processing in popular programs (e.g. Photoshop). This brand-new benchmark set tests the performance of various filters:
- Blur: 3x3 Convolution Filter
- Sharpen: 5x5 Convolution Filter
- Motion Blur: 7x7 Convolution Filter
- Edge Detection: Horizontal + Vertical 5x5 Sobel Filter
- De-Noise: 5x5 Median Filter
CPU, GPGPU IMAGE PROCESSING - Modern vectorised and GPU interfaces:
Image/photo manipulation is greatly accelerated through vectorised SIMD instruction sets (FMA, AVX, SSE2) operating on multiple pixels at the same time, but also increasingly accelerated by GPGPUs in modern programs (e.g. Photoshop). This brand-new benchmark set supports all GPGPU interfaces as well as SIMD instruction sets:
- GPGPU: CUDA (7.5), OpenCL (2.0, 1.2), DirectX Compute Shader (11/10), OpenGL Compute Shader (4.3+) [future DirectX 12 support]
- CPU: FMA3, AVX, SSE2 instruction sets [future AVX512 support]
UPDATED OVERALL SCORE 2016 BENCHMARK FOR COMPLETE SYSTEM PERFORMANCE EVALUATION:
- 16 benchmarks to fully evaluate computer performance
While each benchmark measures the performance of a specific device (CPU, Memory, (GP)GPU, Storage, etc.), there is a real need for a benchmark to evaluate the overall computer performance: this new benchmark is a weighted average of the individual scores of the existing benchmarks:
- Native CPU Arithmetic, Cryptographic, Multi-Media (SIMD), Financial and Scientific: measures native processing performance using the very latest instruction sets (AVX2, FMA3, AVX, SSE2)
- Net/Java Arithmetic: measures software virtual machine performance (e.g. for .Net WPF/Silverlight/Modern applications)
- Memory and Cache Bandwidth and Latency: measures memory and caches performance
- File System/Storage Bandwidth and I/O: measures storage performance
- GP (General Processing) / HC (Heterogonous Compute) (GPU/APU) Arithmetic, Cryptographic, Financial, Scientific: measures (GP)GPU/APU processing performance
- GP (General Processing) / HC (Heterogonous Compute) (GPU/APU) Memory Bandwidth and Latency: measures (GP)GPU/APU memory performance
Download: http://www.sisoftware.co.uk
|
