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SiSoftware Official Benchmark Ranker Details for Component NVIDIA GeForce GTX 1070 Max-Q Design SiSoftware : Home | Teams | Users | Brands | Computers/Devices | Aggregated Results | Individual Results

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Component nVidia Name NVIDIA GeForce GTX 1070 Max-Q Design Brand nVidia Average Speed 279GHz Average Power 1150W Average Capacity 2060CU Price Best Price for NVIDIA GeForce GTX 1070 Max-Q Design @ Amazon Individual Results 168 Aggregated Results 9 Top Components | Top Brands | Best Price for NVIDIA GeForce GTX 1070 Max-Q Design @ Amazon

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

Aggregated Results Local Rank Benchmark Component Average Score Average Capacity Average Speed Power State Platform Operating System Popularity #29 (>95.58%) GP (GPU) Processing NVIDIA GeForce GTX 1070 Max-Q Design 170019Mpix/s 16CU 119GHz 1150W Normal Laptop/Netbook Windows x64 10.0.20.9 36 #20 (>97.34%) GP (GPU) Memory Bandwidth NVIDIA GeForce GTX 1070 Max-Q Design 4150GB/s 8192MB 767GHz 1150W Normal Laptop/Netbook Windows x64 10.0.20.9 32 #15 (>97.63%) GP (GPU) Cryptography (High Security) NVIDIA GeForce GTX 1070 Max-Q Design 4085GB/s 16CU 121GHz 1150W Normal Laptop/Netbook Windows x64 10.0.20.9 33 #32 (>95.22%) GP Global Data Cache/Memory Latencies (In-Page Random Access) NVIDIA GeForce GTX 1070 Max-Q Design 1896ns 800GB 760GHz 1150W Normal Laptop/Netbook Windows x64 10.0.20.9 24 #21 (>96.59%) GP (GPU) Financial Analysis (Normal/Single Precision) NVIDIA GeForce GTX 1070 Max-Q Design 169397kOPTS 16CU 114GHz 1150W Normal Laptop/Netbook Windows x64 10.0.20.9 31 #20 (>96.01%) GP (GPU) Scientific Analysis (Normal/Single Precision) NVIDIA GeForce GTX 1070 Max-Q Design 65849GFLOPS 16CU 121GHz 1150W Normal Laptop/Netbook Windows x64 10.0.20.9 30 #29 (>91.11%) GP (GPU) Image Processing (Normal/Single Precision) NVIDIA GeForce GTX 1070 Max-Q Design 93124Mpix/s 16CU 119GHz 1150W Normal Laptop/Netbook Windows x64 10.0.20.9 22 #20 (>92.94%) Overall GP (GPU) Score NVIDIA GeForce GTX 1070 Max-Q Design 928kPT 16CU 110GHz 1150W Normal Laptop/Netbook Windows x64 10.0.20.9 19 0 - 1 (9)  Next > End Individual Results Benchmark User Team Computer/Device Result ID Score Capacity Speed Power State Platform Operating System Created GP (GPU) Processing Anonymous World Notebook P95_HR NVIDIA GeForce GTX 1070 with Max-Q Design (2048SP 16C 1.54GHz, 2MB L2, 8GB 7.6GHz/8GHz 256-bit) (CUDA) 157055Mpix/s 16CU 154GHz 1150W Normal Laptop/Netbook Windows x64 10.0.6.173 14 December 2017 GP (GPU) Memory Bandwidth Anonymous World Notebook P95_HR NVIDIA GeForce GTX 1070 with Max-Q Design (2048SP 16C 1.1GHz/1.54GHz, 2MB L2, 8GB 7.6GHz/8GHz 256-bit) (CUDA) 4709GB/s 8192MB 760GHz 1150W Normal Laptop/Netbook Windows x64 10.0.6.173 14 December 2017 GP (GPU) Cryptography (High Security) Anonymous World MSI GS65 Stealth Thin 8RF GS (MSI MS-16Q2) NVIDIA GeForce GTX 1070 with Max-Q Design (2048SP 16C 1.1GHz/1.54GHz, 2MB L2, 8GB 7.6GHz/8GHz 256-bit) (CUDA) 3936GB/s 16CU 110GHz 1150W Normal Laptop/Netbook Windows x64 10.0.18.3 9 November 2018 GP Global Data Cache/Memory Latencies (In-Page Random Access) Anonymous World Notebook P95_HR NVIDIA GeForce GTX 1070 with Max-Q Design (2048SP 16C 1.1GHz/1.54GHz, 2MB L2, 8GB 7.6GHz/8GHz 256-bit) (CUDA) 1598ns 800GB 760GHz 1150W Normal Laptop/Netbook Windows x64 10.0.6.173 14 December 2017 GP (GPU) Financial Analysis (Normal/Single Precision) Anonymous World Notebook P95_HR NVIDIA GeForce GTX 1070 with Max-Q Design (2048SP 16C 1.1GHz/1.54GHz, 2MB L2, 8GB 7.6GHz/8GHz 256-bit) (CUDA) 176437kOPTS 16CU 110GHz 1150W Normal Laptop/Netbook Windows x64 10.0.6.167 14 December 2017 GP (GPU) Scientific Analysis (Normal/Single Precision) Anonymous World OMEN by HP Laptop 15-dc0xxx 103C_5335KV HP OMEN (HP 84DB) NVIDIA GeForce GTX 1070 with Max-Q Design (2048SP 16C 1.22GHz/1.38GHz, 2MB L2, 8GB 7.6GHz/8GHz 256-bit) (CUDA) 69966GFLOPS 16CU 122GHz 1150W Normal Laptop/Netbook Windows x64 10.0.19.9 14 March 2020 GP (GPU) Image Processing (Normal/Single Precision) Anonymous World MSI GS65 Stealth Thin 8RF GS (MSI MS-16Q2) NVIDIA GeForce GTX 1070 with Max-Q Design (2048SP 16C 1.1GHz/1.54GHz, 2MB L2, 8GB 7.6GHz/8GHz 256-bit) (CUDA) 97800Mpix/s 16CU 110GHz 1150W Normal Laptop/Netbook Windows x64 10.0.18.3 9 November 2018 Overall GP (GPU) Score Anonymous World MSI GS65 Stealth Thin 8RF GS (MSI MS-16Q2) NVIDIA GeForce GTX 1070 with Max-Q Design (2048SP 16C 1.1GHz/1.54GHz, 2MB L2, 8GB 7.6GHz/8GHz 256-bit) (CUDA) 981kPT 16CU 110GHz 1150W Normal Laptop/Netbook Windows x64 10.0.18.3 9 November 2018 0 - 1 (168)  Next > End

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