nvidia RTX 5080 rtx 5090 compute benchmarks

Benchmarks for a future article.

HTML result view exported from: https://openbenchmarking.org/result/2501295-PTS-NVIDIART22&grr.

nvidia RTX 5080 rtx 5090 compute benchmarksProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLCompilerFile-SystemScreen ResolutionRTX 5090RTX 5080NVIDIA RTX 5080Intel Core Ultra 9 285K @ 5.10GHz (24 Cores)ASUS ROG MAXIMUS Z890 HERO (1203 BIOS)Intel Device ae7f2 x 16GB DDR5-6400MT/s Micron CP16G64C38U5B.M8D11000GB Western Digital WDS100T1X0E-00AFY0 + 4001GB Western Digital WD_BLACK SN850X 4000GBASUS NVIDIA GeForce RTX 5090 32GBIntel Device 7f50ASUS VP28URealtek Device 8126 + Intel I226-V + Intel Wi-Fi 7Ubuntu 24.106.11.0-13-generic (x86_64)GNOME Shell 47.0X Server 1.21.1.13NVIDIA 570.86.104.6.0OpenCL 3.0 CUDA 12.8.51 + OpenCL 3.0GCC 14.2.0ext43840x2160ASUS NVIDIA GeForce RTX 5080 16GB6.11.0-14-generic (x86_64)OpenCL 3.0 CUDA 12.8.51GCC 14.2.0 + CUDA 12.8OpenBenchmarking.orgKernel Details- RTX 5090: nouveau.modeset=0 - Transparent Huge Pages: madvise- RTX 5080: Transparent Huge Pages: madvise- NVIDIA RTX 5080: Transparent Huge Pages: madviseCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2,rust --enable-libphobos-checking=release --enable-libstdcxx-backtrace --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-14-zdkDXv/gcc-14-14.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-14-zdkDXv/gcc-14-14.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Processor Details- Scaling Governor: intel_pstate performance (EPP: default) - CPU Microcode: 0x114 - Thermald 2.5.8Graphics Details- RTX 5090: BAR1 / Visible vRAM Size: 32768 MiB - vBIOS Version: 98.02.2e.00.03- RTX 5080: BAR1 / Visible vRAM Size: 16384 MiB - vBIOS Version: 98.03.3b.00.01- NVIDIA RTX 5080: BAR1 / Visible vRAM Size: 16384 MiB - vBIOS Version: 98.03.3b.00.01OpenCL Details- RTX 5090: GPU Compute Cores: 21760- RTX 5080: GPU Compute Cores: 10752- NVIDIA RTX 5080: GPU Compute Cores: 10752Security Details- gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS; IBPB: conditional; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected

nvidia RTX 5080 rtx 5090 compute benchmarksncnn: Vulkan GPU - FastestDetncnn: Vulkan GPU - vision_transformerncnn: Vulkan GPU - regnety_400mncnn: Vulkan GPU - squeezenet_ssdncnn: Vulkan GPU - yolov4-tinyncnn: Vulkan GPUv2-yolov3v2-yolov3 - mobilenetv2-yolov3ncnn: Vulkan GPU - resnet50ncnn: Vulkan GPU - alexnetncnn: Vulkan GPU - resnet18ncnn: Vulkan GPU - vgg16ncnn: Vulkan GPU - googlenetncnn: Vulkan GPU - blazefacencnn: Vulkan GPU - efficientnet-b0ncnn: Vulkan GPU - mnasnetncnn: Vulkan GPU - shufflenet-v2ncnn: Vulkan GPU-v3-v3 - mobilenet-v3ncnn: Vulkan GPU-v2-v2 - mobilenet-v2ncnn: Vulkan GPU - mobilenetllama-cpp: NVIDIA CUDA - Llama-3.1-Tulu-3-8B-Q8_0 - Text Generation 128llama-cpp: NVIDIA CUDA - Mistral-7B-Instruct-v0.3-Q8_0 - Text Generation 128llama-cpp: NVIDIA CUDA - granite-3.0-3b-a800m-instruct-Q8_0 - Text Generation 128v-ray: NVIDIA CUDA GPUv-ray: NVIDIA RTX GPUindigobench: OpenCL GPU - Bedroomindigobench: OpenCL GPU - Supercarnamd-cuda: ATPase Simulation - 327,506 Atomsblender: Barbershop - NVIDIA CUDAllama-cpp: NVIDIA CUDA - granite-3.0-3b-a800m-instruct-Q8_0 - Prompt Processing 2048vkresample: 2x - Doubleblender: Barbershop - NVIDIA OptiXfluidx3d: FP32-FP32blender: Pabellon Barcelona - NVIDIA CUDAllama-cpp: NVIDIA CUDA - Llama-3.1-Tulu-3-8B-Q8_0 - Prompt Processing 2048clpeak: Transfer Bandwidth enqueueReadBufferclpeak: Transfer Bandwidth enqueueWriteBufferllama-cpp: NVIDIA CUDA - Mistral-7B-Instruct-v0.3-Q8_0 - Prompt Processing 2048llama-cpp: NVIDIA CUDA - granite-3.0-3b-a800m-instruct-Q8_0 - Prompt Processing 1024realsr-ncnn: 4x - Yesnamd-cuda: STMV with 1,066,628 Atomsfluidx3d: FP32-FP16Sfluidx3d: FP32-FP16Cblender: Fishy Cat - NVIDIA CUDAllama-cpp: NVIDIA CUDA - Llama-3.1-Tulu-3-8B-Q8_0 - Prompt Processing 1024blender: Junkshop - NVIDIA CUDAblender: Classroom - NVIDIA CUDAllama-cpp: NVIDIA CUDA - Mistral-7B-Instruct-v0.3-Q8_0 - Prompt Processing 1024hashcat: MD5llama-cpp: NVIDIA CUDA - granite-3.0-3b-a800m-instruct-Q8_0 - Prompt Processing 512blender: Pabellon Barcelona - NVIDIA OptiXhashcat: SHA-512hashcat: SHA1blender: Classroom - NVIDIA OptiXopencl-benchmark: Memory Bandwidth Coalesced Writeopencl-benchmark: Memory Bandwidth Coalesced Readopencl-benchmark: INT8 Computeopencl-benchmark: INT16 Computeopencl-benchmark: INT32 Computeopencl-benchmark: INT64 Computeopencl-benchmark: FP16 Computeopencl-benchmark: FP32 Computeopencl-benchmark: FP64 Computevkresample: 2x - Singleclpeak: Double-Precision Computeblender: Junkshop - NVIDIA OptiXhashcat: 7-Zipblender: BMW27 - NVIDIA CUDAblender: Fishy Cat - NVIDIA OptiXllama-cpp: NVIDIA CUDA - Llama-3.1-Tulu-3-8B-Q8_0 - Prompt Processing 512llama-cpp: NVIDIA CUDA - Mistral-7B-Instruct-v0.3-Q8_0 - Prompt Processing 512shoc: OpenCL - Texture Read Bandwidthhashcat: TrueCrypt RIPEMD160 + XTSnamd-cuda: ATPase with 327,506 Atomsrealsr-ncnn: 4x - Noblender: BMW27 - NVIDIA OptiXwaifu2x-ncnn: 2x - 3 - Yesclpeak: Global Memory Bandwidthshoc: OpenCL - FFT SPshoc: OpenCL - GEMM SGEMM_Nshoc: OpenCL - Triadshoc: OpenCL - Bus Speed Readbackshoc: OpenCL - Bus Speed Downloadshoc: OpenCL - S3Dshoc: OpenCL - Reductionclpeak: Single-Precision Computeclpeak: Integer Computeclpeak: Integer 24-bit Computeshoc: OpenCL - MD5 Hashclpeak: Kernel LatencyRTX 5090RTX 5080NVIDIA RTX 508011.0162.7647.922.0239.3442.4428.588.7410.9337.0513.922.6727.449.84.534.6810.2142.4448511192342.75992.70.0581035.14103.50524.33952417.3513.8318.4113.48418499191408.928.998.3810684825000078900400000688525000006.161687.491596.2441.79554.01861.7594.396122.914117.8471.955.6481976.95.6632723004.724.552870.6827760004.632.922.2991562.974398.3935937.227.832928.689528.78671117.54837.207121415.5362151.9461843.11142.4075.1543107.87165.9768.0244.0971.2744.7618.5417.4242.0136.586.4263.3937.5910.824.2241.5271.2797101.93105.092528738826.29368.34658.33705.87212.34839.48517431.556627.5913.9518.646642.523831.5318.6764.02164102761032814.47292.8413.814.087327.35994350000003878.9210.64243000000325225000009.47911.11909.6620.36827.2230.214.27659.46857.8510.9510.278962.397.8416570007.347.157804.827865.652728.64129470014.572545.2214.122.93849.232381.818948.127.846228.379828.7868591.436858.04259218.8930128.0430086.569.56354.8732.48108.87155.2268.0144.5571.0257.5717.616.3142.4742.544.0865.7729.339.75633.9671.0297.03101.84105.252528737226.27268.31758.073687.77212.31339.09517431.546630.6713.718.496653.973832.0318.644.01155102751033014.437304.8312.9414.057331.65998158000003849.7810.394265500000326331000009.43911.96910.0720.16927.25530.1974.359.46958.1160.9510.276962.457.7716645007.297.197799.247864.882734.06129420014.436035.1534.12.733849.742381.9219013.127.543828.557228.7864592.115857.86159305.8530173.7330059.4369.38684.87OpenBenchmarking.org

NCNN

Target: Vulkan GPU - Model: FastestDet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20241226Target: Vulkan GPU - Model: FastestDetRTX 5090RTX 5080NVIDIA RTX 5080102030405011.0143.0032.48MIN: 5.09 / MAX: 92.36MIN: 5.09 / MAX: 96.19MIN: 5.11 / MAX: 96.351. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: vision_transformer

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20241226Target: Vulkan GPU - Model: vision_transformerRTX 5090RTX 5080NVIDIA RTX 50802040608010062.76107.87108.87MIN: 40.3 / MAX: 105.61MIN: 40.48 / MAX: 118.93MIN: 45.11 / MAX: 120.31. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: regnety_400m

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20241226Target: Vulkan GPU - Model: regnety_400mRTX 5090RTX 5080NVIDIA RTX 5080408012016020047.90165.97155.22MIN: 21.96 / MAX: 421.33MIN: 21.95 / MAX: 492.35MIN: 21.96 / MAX: 495.671. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: squeezenet_ssd

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20241226Target: Vulkan GPU - Model: squeezenet_ssdRTX 5090RTX 5080NVIDIA RTX 5080153045607522.0268.0268.01MIN: 7.41 / MAX: 92.66MIN: 7.34 / MAX: 99.35MIN: 7.27 / MAX: 102.261. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: yolov4-tiny

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20241226Target: Vulkan GPU - Model: yolov4-tinyRTX 5090RTX 5080NVIDIA RTX 5080102030405039.3444.0944.55MIN: 15.92 / MAX: 49.04MIN: 14.62 / MAX: 49.42MIN: 13.75 / MAX: 49.721. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPUv2-yolov3v2-yolov3 - Model: mobilenetv2-yolov3

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20241226Target: Vulkan GPUv2-yolov3v2-yolov3 - Model: mobilenetv2-yolov3RTX 5090RTX 5080NVIDIA RTX 5080163248648042.4471.2771.02MIN: 8.34 / MAX: 76.17MIN: 8.2 / MAX: 79.42MIN: 8.7 / MAX: 81.031. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: resnet50

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20241226Target: Vulkan GPU - Model: resnet50RTX 5090RTX 5080NVIDIA RTX 5080132639526528.5844.7657.57MIN: 10.02 / MAX: 89.48MIN: 9.99 / MAX: 92.95MIN: 9.95 / MAX: 941. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20241226Target: Vulkan GPU - Model: alexnetRTX 5090RTX 5080NVIDIA RTX 50805101520258.7418.5417.60MIN: 3.21 / MAX: 22.23MIN: 3.21 / MAX: 22.49MIN: 3.2 / MAX: 23.031. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: resnet18

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20241226Target: Vulkan GPU - Model: resnet18RTX 5090RTX 5080NVIDIA RTX 50804812162010.9317.4216.31MIN: 4.48 / MAX: 44.35MIN: 4.48 / MAX: 44.53MIN: 4.4 / MAX: 44.981. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: vgg16

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20241226Target: Vulkan GPU - Model: vgg16RTX 5090RTX 5080NVIDIA RTX 5080102030405037.0542.0142.47MIN: 22.53 / MAX: 46.22MIN: 23.96 / MAX: 46.31MIN: 25.67 / MAX: 47.211. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: googlenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20241226Target: Vulkan GPU - Model: googlenetRTX 5090RTX 5080NVIDIA RTX 5080102030405013.9236.5842.54MIN: 7.49 / MAX: 98.37MIN: 7.53 / MAX: 102.56MIN: 7.59 / MAX: 104.851. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: blazeface

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20241226Target: Vulkan GPU - Model: blazefaceRTX 5090RTX 5080NVIDIA RTX 50802468102.676.424.08MIN: 2.4 / MAX: 41.21MIN: 2.36 / MAX: 52.25MIN: 2.36 / MAX: 52.231. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: efficientnet-b0

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20241226Target: Vulkan GPU - Model: efficientnet-b0RTX 5090RTX 5080NVIDIA RTX 5080153045607527.4463.3965.77MIN: 6.34 / MAX: 109.98MIN: 6.28 / MAX: 114.02MIN: 6.28 / MAX: 115.251. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: mnasnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20241226Target: Vulkan GPU - Model: mnasnetRTX 5090RTX 5080NVIDIA RTX 50809182736459.8037.5929.33MIN: 3.75 / MAX: 63.5MIN: 3.7 / MAX: 66.4MIN: 3.68 / MAX: 66.871. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: shufflenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20241226Target: Vulkan GPU - Model: shufflenet-v2RTX 5090RTX 5080NVIDIA RTX 508036912154.5310.829.75MIN: 3.88 / MAX: 57.59MIN: 3.9 / MAX: 74.52MIN: 3.91 / MAX: 74.731. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20241226Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3RTX 5090RTX 5080NVIDIA RTX 50802468104.684.226.00MIN: 4.08 / MAX: 57.94MIN: 4.04 / MAX: 4.96MIN: 4.05 / MAX: 791. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20241226Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2RTX 5090RTX 5080NVIDIA RTX 508091827364510.2141.5233.96MIN: 3.85 / MAX: 64.73MIN: 3.78 / MAX: 68.66MIN: 3.85 / MAX: 68.91. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: mobilenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20241226Target: Vulkan GPU - Model: mobilenetRTX 5090RTX 5080NVIDIA RTX 5080163248648042.4471.2771.02MIN: 8.34 / MAX: 76.17MIN: 8.2 / MAX: 79.42MIN: 8.7 / MAX: 81.031. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Llama.cpp

Backend: NVIDIA CUDA - Model: Llama-3.1-Tulu-3-8B-Q8_0 - Test: Text Generation 128

OpenBenchmarking.orgTokens Per Second, More Is BetterLlama.cpp b4397Backend: NVIDIA CUDA - Model: Llama-3.1-Tulu-3-8B-Q8_0 - Test: Text Generation 128RTX 5080NVIDIA RTX 50802040608010097.0097.031. (CXX) g++ options: -O3

Llama.cpp

Backend: NVIDIA CUDA - Model: Mistral-7B-Instruct-v0.3-Q8_0 - Test: Text Generation 128

OpenBenchmarking.orgTokens Per Second, More Is BetterLlama.cpp b4397Backend: NVIDIA CUDA - Model: Mistral-7B-Instruct-v0.3-Q8_0 - Test: Text Generation 128RTX 5080NVIDIA RTX 508020406080100101.93101.841. (CXX) g++ options: -O3

Llama.cpp

Backend: NVIDIA CUDA - Model: granite-3.0-3b-a800m-instruct-Q8_0 - Test: Text Generation 128

OpenBenchmarking.orgTokens Per Second, More Is BetterLlama.cpp b4397Backend: NVIDIA CUDA - Model: granite-3.0-3b-a800m-instruct-Q8_0 - Test: Text Generation 128RTX 5080NVIDIA RTX 508020406080100105.09105.251. (CXX) g++ options: -O3

Chaos Group V-RAY

Mode: NVIDIA CUDA GPU

OpenBenchmarking.orgvpaths, More Is BetterChaos Group V-RAY 6.0Mode: NVIDIA CUDA GPURTX 5090RTX 5080NVIDIA RTX 508010002000300040005000485125282528

Chaos Group V-RAY

Mode: NVIDIA RTX GPU

OpenBenchmarking.orgvpaths, More Is BetterChaos Group V-RAY 6.0Mode: NVIDIA RTX GPURTX 5090RTX 5080NVIDIA RTX 50803K6K9K12K15K1192373887372

IndigoBench

Acceleration: OpenCL GPU - Scene: Bedroom

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: OpenCL GPU - Scene: BedroomRTX 5090RTX 5080NVIDIA RTX 5080102030405042.7626.2926.27

IndigoBench

Acceleration: OpenCL GPU - Scene: Supercar

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: OpenCL GPU - Scene: SupercarRTX 5090RTX 5080NVIDIA RTX 50802040608010092.7068.3568.32

NAMD CUDA

ATPase Simulation - 327,506 Atoms

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD CUDA 2.14ATPase Simulation - 327,506 AtomsRTX 50900.01310.02620.03930.05240.06550.05810

Blender

Blend File: Barbershop - Compute: NVIDIA CUDA

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.3Blend File: Barbershop - Compute: NVIDIA CUDARTX 5090RTX 5080NVIDIA RTX 5080132639526535.1458.3058.07

Llama.cpp

Backend: NVIDIA CUDA - Model: granite-3.0-3b-a800m-instruct-Q8_0 - Test: Prompt Processing 2048

OpenBenchmarking.orgTokens Per Second, More Is BetterLlama.cpp b4397Backend: NVIDIA CUDA - Model: granite-3.0-3b-a800m-instruct-Q8_0 - Test: Prompt Processing 2048RTX 5080NVIDIA RTX 508080016002400320040003705.873687.771. (CXX) g++ options: -O3

VkResample

Upscale: 2x - Precision: Double

OpenBenchmarking.orgms, Fewer Is BetterVkResample 1.0Upscale: 2x - Precision: DoubleRTX 5090RTX 5080NVIDIA RTX 508050100150200250103.51212.35212.311. (CXX) g++ options: -O3

Blender

Blend File: Barbershop - Compute: NVIDIA OptiX

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.3Blend File: Barbershop - Compute: NVIDIA OptiXRTX 5090RTX 5080NVIDIA RTX 508091827364524.3339.4839.09

FluidX3D

Test: FP32-FP32

OpenBenchmarking.orgMLUPs/s, More Is BetterFluidX3D 3.0Test: FP32-FP32RTX 5090RTX 5080NVIDIA RTX 50802K4K6K8K10K952451745174

Blender

Blend File: Pabellon Barcelona - Compute: NVIDIA CUDA

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.3Blend File: Pabellon Barcelona - Compute: NVIDIA CUDARTX 5090RTX 5080NVIDIA RTX 508071421283517.3531.5531.54

Llama.cpp

Backend: NVIDIA CUDA - Model: Llama-3.1-Tulu-3-8B-Q8_0 - Test: Prompt Processing 2048

OpenBenchmarking.orgTokens Per Second, More Is BetterLlama.cpp b4397Backend: NVIDIA CUDA - Model: Llama-3.1-Tulu-3-8B-Q8_0 - Test: Prompt Processing 2048RTX 5080NVIDIA RTX 5080140028004200560070006627.596630.671. (CXX) g++ options: -O3

clpeak

OpenCL Test: Transfer Bandwidth enqueueReadBuffer

OpenBenchmarking.orgGBPS, More Is Betterclpeak 1.1.2OpenCL Test: Transfer Bandwidth enqueueReadBufferRTX 5090RTX 5080NVIDIA RTX 50804812162013.8313.9513.701. (CXX) g++ options: -O3

clpeak

OpenCL Test: Transfer Bandwidth enqueueWriteBuffer

OpenBenchmarking.orgGBPS, More Is Betterclpeak 1.1.2OpenCL Test: Transfer Bandwidth enqueueWriteBufferRTX 5090RTX 5080NVIDIA RTX 508051015202518.4118.6418.491. (CXX) g++ options: -O3

Llama.cpp

Backend: NVIDIA CUDA - Model: Mistral-7B-Instruct-v0.3-Q8_0 - Test: Prompt Processing 2048

OpenBenchmarking.orgTokens Per Second, More Is BetterLlama.cpp b4397Backend: NVIDIA CUDA - Model: Mistral-7B-Instruct-v0.3-Q8_0 - Test: Prompt Processing 2048RTX 5080NVIDIA RTX 5080140028004200560070006642.526653.971. (CXX) g++ options: -O3

Llama.cpp

Backend: NVIDIA CUDA - Model: granite-3.0-3b-a800m-instruct-Q8_0 - Test: Prompt Processing 1024

OpenBenchmarking.orgTokens Per Second, More Is BetterLlama.cpp b4397Backend: NVIDIA CUDA - Model: granite-3.0-3b-a800m-instruct-Q8_0 - Test: Prompt Processing 1024RTX 5080NVIDIA RTX 508080016002400320040003831.533832.031. (CXX) g++ options: -O3

RealSR-NCNN

Scale: 4x - TAA: Yes

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: YesRTX 5090RTX 5080NVIDIA RTX 508051015202513.4818.6818.64

NAMD CUDA

Input: STMV with 1,066,628 Atoms

OpenBenchmarking.orgns/day, More Is BetterNAMD CUDA 3.0.1Input: STMV with 1,066,628 AtomsRTX 5080NVIDIA RTX 50800.90491.80982.71473.61964.52454.021644.01155

FluidX3D

Test: FP32-FP16S

OpenBenchmarking.orgMLUPs/s, More Is BetterFluidX3D 3.0Test: FP32-FP16SRTX 5090RTX 5080NVIDIA RTX 50804K8K12K16K20K184991027610275

FluidX3D

Test: FP32-FP16C

OpenBenchmarking.orgMLUPs/s, More Is BetterFluidX3D 3.0Test: FP32-FP16CRTX 5090RTX 5080NVIDIA RTX 50804K8K12K16K20K191401032810330

Blender

Blend File: Fishy Cat - Compute: NVIDIA CUDA

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.3Blend File: Fishy Cat - Compute: NVIDIA CUDARTX 5090RTX 5080NVIDIA RTX 5080481216208.9214.4014.43

Llama.cpp

Backend: NVIDIA CUDA - Model: Llama-3.1-Tulu-3-8B-Q8_0 - Test: Prompt Processing 1024

OpenBenchmarking.orgTokens Per Second, More Is BetterLlama.cpp b4397Backend: NVIDIA CUDA - Model: Llama-3.1-Tulu-3-8B-Q8_0 - Test: Prompt Processing 1024RTX 5080NVIDIA RTX 5080160032004800640080007292.847304.831. (CXX) g++ options: -O3

Blender

Blend File: Junkshop - Compute: NVIDIA CUDA

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.3Blend File: Junkshop - Compute: NVIDIA CUDARTX 5090RTX 5080NVIDIA RTX 5080481216208.9913.8012.94

Blender

Blend File: Classroom - Compute: NVIDIA CUDA

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.3Blend File: Classroom - Compute: NVIDIA CUDARTX 5090RTX 5080NVIDIA RTX 5080481216208.3814.0814.05

Llama.cpp

Backend: NVIDIA CUDA - Model: Mistral-7B-Instruct-v0.3-Q8_0 - Test: Prompt Processing 1024

OpenBenchmarking.orgTokens Per Second, More Is BetterLlama.cpp b4397Backend: NVIDIA CUDA - Model: Mistral-7B-Instruct-v0.3-Q8_0 - Test: Prompt Processing 1024RTX 5080NVIDIA RTX 5080160032004800640080007327.357331.651. (CXX) g++ options: -O3

Hashcat

Benchmark: MD5

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: MD5RTX 5090RTX 5080NVIDIA RTX 508020000M40000M60000M80000M100000MSE +/- 102551750000.00, N = 21068482500009943500000099815800000

Llama.cpp

Backend: NVIDIA CUDA - Model: granite-3.0-3b-a800m-instruct-Q8_0 - Test: Prompt Processing 512

OpenBenchmarking.orgTokens Per Second, More Is BetterLlama.cpp b4397Backend: NVIDIA CUDA - Model: granite-3.0-3b-a800m-instruct-Q8_0 - Test: Prompt Processing 512RTX 5080NVIDIA RTX 508080016002400320040003878.923849.781. (CXX) g++ options: -O3

Blender

Blend File: Pabellon Barcelona - Compute: NVIDIA OptiX

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.3Blend File: Pabellon Barcelona - Compute: NVIDIA OptiXRTX 5090RTX 5080NVIDIA RTX 508036912157.0010.6010.39

Hashcat

Benchmark: SHA-512

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: SHA-512RTX 5090RTX 5080NVIDIA RTX 50802000M4000M6000M8000M10000M890040000042430000004265500000

Hashcat

Benchmark: SHA1

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: SHA1RTX 5090RTX 5080NVIDIA RTX 508015000M30000M45000M60000M75000M688525000003252250000032633100000

Blender

Blend File: Classroom - Compute: NVIDIA OptiX

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.3Blend File: Classroom - Compute: NVIDIA OptiXRTX 5090RTX 5080NVIDIA RTX 508036912156.169.479.43

ProjectPhysX OpenCL-Benchmark

Operation: Memory Bandwidth Coalesced Write

OpenBenchmarking.orgGB/s, More Is BetterProjectPhysX OpenCL-Benchmark 1.6Operation: Memory Bandwidth Coalesced WriteRTX 5090RTX 5080NVIDIA RTX 50804008001200160020001687.49911.11911.961. (CXX) g++ options: -std=c++17 -pthread -lOpenCL

ProjectPhysX OpenCL-Benchmark

Operation: Memory Bandwidth Coalesced Read

OpenBenchmarking.orgGB/s, More Is BetterProjectPhysX OpenCL-Benchmark 1.6Operation: Memory Bandwidth Coalesced ReadRTX 5090RTX 5080NVIDIA RTX 5080300600900120015001596.24909.66910.071. (CXX) g++ options: -std=c++17 -pthread -lOpenCL

ProjectPhysX OpenCL-Benchmark

Operation: INT8 Compute

OpenBenchmarking.orgTIOPs/s, More Is BetterProjectPhysX OpenCL-Benchmark 1.6Operation: INT8 ComputeRTX 5090RTX 5080NVIDIA RTX 5080102030405041.8020.3720.171. (CXX) g++ options: -std=c++17 -pthread -lOpenCL

ProjectPhysX OpenCL-Benchmark

Operation: INT16 Compute

OpenBenchmarking.orgTIOPs/s, More Is BetterProjectPhysX OpenCL-Benchmark 1.6Operation: INT16 ComputeRTX 5090RTX 5080NVIDIA RTX 5080122436486054.0227.2227.261. (CXX) g++ options: -std=c++17 -pthread -lOpenCL

ProjectPhysX OpenCL-Benchmark

Operation: INT32 Compute

OpenBenchmarking.orgTIOPs/s, More Is BetterProjectPhysX OpenCL-Benchmark 1.6Operation: INT32 ComputeRTX 5090RTX 5080NVIDIA RTX 5080142842567061.7630.2130.201. (CXX) g++ options: -std=c++17 -pthread -lOpenCL

ProjectPhysX OpenCL-Benchmark

Operation: INT64 Compute

OpenBenchmarking.orgTIOPs/s, More Is BetterProjectPhysX OpenCL-Benchmark 1.6Operation: INT64 ComputeRTX 5090RTX 5080NVIDIA RTX 50800.98911.97822.96733.95644.94554.3964.2764.3001. (CXX) g++ options: -std=c++17 -pthread -lOpenCL

ProjectPhysX OpenCL-Benchmark

Operation: FP16 Compute

OpenBenchmarking.orgTFLOPs/s, More Is BetterProjectPhysX OpenCL-Benchmark 1.6Operation: FP16 ComputeRTX 5090RTX 5080NVIDIA RTX 5080306090120150122.9159.4759.471. (CXX) g++ options: -std=c++17 -pthread -lOpenCL

ProjectPhysX OpenCL-Benchmark

Operation: FP32 Compute

OpenBenchmarking.orgTFLOPs/s, More Is BetterProjectPhysX OpenCL-Benchmark 1.6Operation: FP32 ComputeRTX 5090RTX 5080NVIDIA RTX 5080306090120150117.8557.8558.121. (CXX) g++ options: -std=c++17 -pthread -lOpenCL

ProjectPhysX OpenCL-Benchmark

Operation: FP64 Compute

OpenBenchmarking.orgTFLOPs/s, More Is BetterProjectPhysX OpenCL-Benchmark 1.6Operation: FP64 ComputeRTX 5090RTX 5080NVIDIA RTX 50800.43880.87761.31641.75522.1941.950.950.951. (CXX) g++ options: -std=c++17 -pthread -lOpenCL

VkResample

Upscale: 2x - Precision: Single

OpenBenchmarking.orgms, Fewer Is BetterVkResample 1.0Upscale: 2x - Precision: SingleRTX 5090RTX 5080NVIDIA RTX 508036912155.64810.27810.2761. (CXX) g++ options: -O3

clpeak

OpenCL Test: Double-Precision Compute

OpenBenchmarking.orgGFLOPS, More Is Betterclpeak 1.1.2OpenCL Test: Double-Precision ComputeRTX 5090RTX 5080NVIDIA RTX 50804008001200160020001976.90962.39962.451. (CXX) g++ options: -O3

Blender

Blend File: Junkshop - Compute: NVIDIA OptiX

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.3Blend File: Junkshop - Compute: NVIDIA OptiXRTX 5090RTX 5080NVIDIA RTX 50802468105.667.847.77

Hashcat

Benchmark: 7-Zip

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: 7-ZipRTX 5090RTX 5080NVIDIA RTX 5080700K1400K2100K2800K3500K327230016570001664500

Blender

Blend File: BMW27 - Compute: NVIDIA CUDA

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.3Blend File: BMW27 - Compute: NVIDIA CUDARTX 5090RTX 5080NVIDIA RTX 50802468104.727.347.29

Blender

Blend File: Fishy Cat - Compute: NVIDIA OptiX

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.3Blend File: Fishy Cat - Compute: NVIDIA OptiXRTX 5090RTX 5080NVIDIA RTX 50802468104.557.157.19

Llama.cpp

Backend: NVIDIA CUDA - Model: Llama-3.1-Tulu-3-8B-Q8_0 - Test: Prompt Processing 512

OpenBenchmarking.orgTokens Per Second, More Is BetterLlama.cpp b4397Backend: NVIDIA CUDA - Model: Llama-3.1-Tulu-3-8B-Q8_0 - Test: Prompt Processing 512RTX 5080NVIDIA RTX 50802K4K6K8K10K7804.827799.241. (CXX) g++ options: -O3

Llama.cpp

Backend: NVIDIA CUDA - Model: Mistral-7B-Instruct-v0.3-Q8_0 - Test: Prompt Processing 512

OpenBenchmarking.orgTokens Per Second, More Is BetterLlama.cpp b4397Backend: NVIDIA CUDA - Model: Mistral-7B-Instruct-v0.3-Q8_0 - Test: Prompt Processing 512RTX 5080NVIDIA RTX 50802K4K6K8K10K7865.657864.881. (CXX) g++ options: -O3

SHOC Scalable HeterOgeneous Computing

Target: OpenCL - Benchmark: Texture Read Bandwidth

OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: Texture Read BandwidthRTX 5090RTX 5080NVIDIA RTX 508060012001800240030002870.682728.642734.061. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

Hashcat

Benchmark: TrueCrypt RIPEMD160 + XTS

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: TrueCrypt RIPEMD160 + XTSRTX 5090RTX 5080NVIDIA RTX 5080600K1200K1800K2400K3000K277600012947001294200

NAMD CUDA

Input: ATPase with 327,506 Atoms

OpenBenchmarking.orgns/day, More Is BetterNAMD CUDA 3.0.1Input: ATPase with 327,506 AtomsRTX 5080NVIDIA RTX 50804812162014.5714.44

RealSR-NCNN

Scale: 4x - TAA: No

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: NoRTX 5090RTX 5080NVIDIA RTX 50801.17472.34943.52414.69885.87354.6305.2215.153

Blender

Blend File: BMW27 - Compute: NVIDIA OptiX

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.3Blend File: BMW27 - Compute: NVIDIA OptiXRTX 5090RTX 5080NVIDIA RTX 50800.9271.8542.7813.7084.6352.924.124.10

Waifu2x-NCNN Vulkan

Scale: 2x - Denoise: 3 - TAA: Yes

OpenBenchmarking.orgSeconds, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818Scale: 2x - Denoise: 3 - TAA: YesRTX 5090RTX 5080NVIDIA RTX 50800.65931.31861.97792.63723.29652.2992.9302.733

clpeak

OpenCL Test: Global Memory Bandwidth

OpenBenchmarking.orgGBPS, More Is Betterclpeak 1.1.2OpenCL Test: Global Memory BandwidthRTX 5090RTX 5080NVIDIA RTX 5080300600900120015001562.97849.23849.741. (CXX) g++ options: -O3

SHOC Scalable HeterOgeneous Computing

Target: OpenCL - Benchmark: FFT SP

OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: FFT SPRTX 5090RTX 5080NVIDIA RTX 508090018002700360045004398.392381.802381.921. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

SHOC Scalable HeterOgeneous Computing

Target: OpenCL - Benchmark: GEMM SGEMM_N

OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: GEMM SGEMM_NRTX 5090RTX 5080NVIDIA RTX 50808K16K24K32K40K35937.218948.119013.11. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

SHOC Scalable HeterOgeneous Computing

Target: OpenCL - Benchmark: Triad

OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: TriadRTX 5090RTX 5080NVIDIA RTX 508071421283527.8327.8527.541. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

SHOC Scalable HeterOgeneous Computing

Target: OpenCL - Benchmark: Bus Speed Readback

OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: Bus Speed ReadbackRTX 5090RTX 5080NVIDIA RTX 508071421283528.6928.3828.561. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

SHOC Scalable HeterOgeneous Computing

Target: OpenCL - Benchmark: Bus Speed Download

OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: Bus Speed DownloadRTX 5090RTX 5080NVIDIA RTX 508071421283528.7928.7928.791. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

SHOC Scalable HeterOgeneous Computing

Target: OpenCL - Benchmark: S3D

OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: S3DRTX 5090RTX 5080NVIDIA RTX 508020040060080010001117.54591.44592.121. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

SHOC Scalable HeterOgeneous Computing

Target: OpenCL - Benchmark: Reduction

OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: ReductionRTX 5090RTX 5080NVIDIA RTX 50802004006008001000837.21858.04857.861. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

clpeak

OpenCL Test: Single-Precision Compute

OpenBenchmarking.orgGFLOPS, More Is Betterclpeak 1.1.2OpenCL Test: Single-Precision ComputeRTX 5090RTX 5080NVIDIA RTX 508030K60K90K120K150K121415.5359218.8959305.851. (CXX) g++ options: -O3

clpeak

OpenCL Test: Integer Compute

OpenBenchmarking.orgGIOPS, More Is Betterclpeak 1.1.2OpenCL Test: Integer ComputeRTX 5090RTX 5080NVIDIA RTX 508013K26K39K52K65K62151.9430128.0430173.731. (CXX) g++ options: -O3

clpeak

OpenCL Test: Integer 24-bit Compute

OpenBenchmarking.orgGIOPS, More Is Betterclpeak 1.1.2OpenCL Test: Integer 24-bit ComputeRTX 5090RTX 5080NVIDIA RTX 508013K26K39K52K65K61843.1130086.5030059.431. (CXX) g++ options: -O3

SHOC Scalable HeterOgeneous Computing

Target: OpenCL - Benchmark: MD5 Hash

OpenBenchmarking.orgGHash/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: MD5 HashRTX 5090RTX 5080NVIDIA RTX 5080306090120150142.4169.5669.391. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

clpeak

OpenCL Test: Kernel Latency

OpenBenchmarking.orgus, Fewer Is Betterclpeak 1.1.2OpenCL Test: Kernel LatencyRTX 5090RTX 5080NVIDIA RTX 50801.15882.31763.47644.63525.7945.154.874.871. (CXX) g++ options: -O3


Phoronix Test Suite v10.8.5