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SiSoftware Official Benchmark Ranker Details for User Benno Praxmarer SiSoftware : Home | Teams | Users | Brands | Computers/Devices | Aggregated Results | Individual Results

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User Benno Praxmarer Deutschland (Germany) Name Benno Praxmarer Description Points 825 (0) Status Active Created 30 May 2016 Password Protected Yes Language German Country Deutschland (Germany) Computers/Devices 1 Individual Results 6 Report Issue | Top Users Rank Good Performance :) Global Rank #15243 Position Higher than 82.78% ranked results Qualification Good Performance :) Report Issue Team Deutschland Name Deutschland Status Active Country   Report Issue | Top Teams | Join Team Deutschland | Details for Team Deutschland

All BenchmarksProcessor ArithmeticProcessor Multi-Media.NET Arithmetic.NET Multi-MediaJava ArithmeticJava Multi-MediaProcessor Inter-Thread EfficiencyProcessor Cryptography (High Security)Processor Power Management Efficiency (ALU)Processor Power Management Efficiency (FPU)CD-ROM (Read)Data Cache/Memory Latencies (Full Random Access)DVD (Read)Data Cache/Memory Latencies (In-Page Random Access)Blu-ray (Read)Data Cache/Memory Latencies (Sequential Access)Physical Disks (Read)Physical Disks (Write)File System BandwidthFile System I/OMobile Device (Phone/Player) TransferData Cache BandwidthMemory BandwidthCode Cache/Memory Latencies (Full Random Access)Code Cache/Memory Latencies (In-Page Random Access)Code Cache/Memory Latencies (Sequential Access)Video Shader ComputeVideo Memory BandwidthMedia (Audio/Video) Transcode (AVC/H.264)GP (GPU) ProcessingGP (GPU) Memory BandwidthGP (GPU) Cryptography (High Security)Processor Cryptography (Standard Security)GP (GPU) Cryptography (Standard Security)Media (Audio/Video) Transcode (HEVC/H.265)Network (LAN)Wireless (WAN/WWAN)Internet ConnectionInternet PeerageGP (GPU) Financial Analysis (Low/Half Precision)GP (GPU) Scientific Analysis (Low/Half Precision)Internet DNSOverall Internet ScoreGP Global Data Cache/Memory Latencies (In-Page Random Access)GP Global Data Cache/Memory Latencies (Full Random Access)GP Global Data Cache/Memory Latencies (Sequential Access)GP Constant Data Cache/Memory Latencies (In-Page Random Access)GP Constant Data Cache/Memory Latencies (Full Random Access)GP Constant Data Cache/Memory Latencies (Sequential Access)GP Shared Data Cache/Memory Latencies (In-Page Random Access)GP Shared Data Cache/Memory Latencies (Full Random Access)GP Shared Data Cache/Memory Latencies (Sequential Access)GP Texture Cache/Memory Latencies (In-Page Random Access)GP Texture Cache/Memory Latencies (Full Random Access)GP Texture Cache/Memory Latencies (Sequential Access)GP Global Data Cache/Memory BandwidthGP Constant Data Cache/Memory BandwidthGP Shared Data Cache/Memory BandwidthGP Texture Cache/Memory BandwidthMemory Transaction Throughput (Database Transactional)Memory Transaction Throughput (Record Update Only)Processor Financial Analysis (Normal/Single Precision)Processor Financial Analysis (High/Double Precision)GP (GPU) Financial Analysis (Normal/Single Precision)GP (GPU) Financial Analysis (High/Double Precision)Processor Scientific Analysis (Normal/Single Precision)Processor Scientific Analysis (High/Double Precision)GP (GPU) Scientific Analysis (Normal/Single Precision)GP (GPU) Scientific Analysis (High/Double Precision)Overall Score (2014/Silver)Overall Score (2015/Gold)Processor Image Processing (Normal/Single Precision)GP (GPU) Image Processing (Normal/Single Precision)GP (GPU) Image Processing (Low/Half Precision)Overall Processor ScoreOverall Memory ScoreOverall Disk ScoreOverall Score (2016/Platinum)Overall Score (2K21-2018)Overall Graphics ScoreOverall GP (GPU) ScoreProcessor Neural Networks (Normal/Single Precision)Processor Neural Networks (High/Double Precision)GP (GPU) Neural Networks (Normal/Single Precision)GP (GPU) Neural Networks (High/Double Precision)GP (GPU) Neural Networks (Low/Half Precision)Overall Software VM ScoreProcessor Cryptography (China Security)GP (GPU) Cryptography (China Security)Crypto-Processor Performance (High Security)Crypto-Processor Performance (Standard Security) All PlatformsDesktopLaptop/NetbookPhone/PlayerTablet/PadServer/WorkStationVirtualised All Operating SystemsWindows x86Windows x64Windows Arm64 All Operational StatesNormalOverClocked Sort by PerformanceSort by NameSort by SpeedSort by OverClockSort by Date/TimeSort by PopularitySort by Operating SystemSort by Platform

Individual Results Local Rank Benchmark User Team Computer/Device Result ID Score Capacity Speed Power State Platform Operating System Created #134897 (>26.68%) GP (GPU) Processing Benno Praxmarer Deutschland Microsoft Surface Book Surface nVidia GeForce GPU (384SP 3C 993MHz, 1MB L2, 1GB 5GHz 64-bit) (CUDA) 19730Mpix/s 3CU 099GHz Normal Desktop Windows x64 10.0.5.231 29 May 2016 #125350 (>14.98%) GP (GPU) Memory Bandwidth Benno Praxmarer Deutschland Microsoft Surface Book Surface nVidia GeForce GPU (384SP 3C 993MHz, 1MB L2, 1GB 5GHz 64-bit) (CUDA) 688GB/s 1024MB 501GHz Normal Desktop Windows x64 10.0.5.231 29 May 2016 #84264 (>36.85%) GP (GPU) Cryptography (High Security) Benno Praxmarer Deutschland Microsoft Surface Book Surface nVidia GeForce GPU (384SP 3C 993MHz, 1MB L2, 1GB 5GHz 64-bit) (CUDA) 637GB/s 3CU 099GHz Normal Desktop Windows x64 10.0.5.231 29 May 2016 #30907 (>68.59%) GP Global Data Cache/Memory Latencies (In-Page Random Access) Benno Praxmarer Deutschland Microsoft Surface Book Surface nVidia GeForce GPU (384SP 3C 993MHz, 1MB L2, 1GB 5GHz 64-bit) (CUDA) 2011ns 100GB 501GHz Normal Desktop Windows x64 10.0.5.231 29 May 2016 #98888 (>38.03%) GP (GPU) Financial Analysis (Normal/Single Precision) Benno Praxmarer Deutschland Microsoft Surface Book Surface nVidia GeForce GPU (384SP 3C 993MHz, 1MB L2, 1GB 5GHz 64-bit) (CUDA) 25346kOPTS 3CU 099GHz Normal Desktop Windows x64 10.0.5.231 29 May 2016 #87303 (>39.34%) GP (GPU) Scientific Analysis (Normal/Single Precision) Benno Praxmarer Deutschland Microsoft Surface Book Surface nVidia GeForce GPU (384SP 3C 993MHz, 1MB L2, 1GB 5GHz 64-bit) (CUDA) 10986GFLOPS 3CU 099GHz Normal Desktop Windows x64 10.0.5.231 29 May 2016 0 - 1 (6)  Next > End

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