nvidia RTX 5080 rtx 5090 compute benchmarks

Benchmarks for a future article.

HTML result view exported from: https://openbenchmarking.org/result/2501297-PTS-NVIDIART00&grr&sro.

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: FastestDetNVIDIA RTX 5080RTX 5080RTX 5090102030405032.4843.0011.01MIN: 5.11 / MAX: 96.35MIN: 5.09 / MAX: 96.19MIN: 5.09 / MAX: 92.361. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: vision_transformer

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20241226Target: Vulkan GPU - Model: vision_transformerNVIDIA RTX 5080RTX 5080RTX 509020406080100108.87107.8762.76MIN: 45.11 / MAX: 120.3MIN: 40.48 / MAX: 118.93MIN: 40.3 / MAX: 105.611. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: regnety_400m

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20241226Target: Vulkan GPU - Model: regnety_400mNVIDIA RTX 5080RTX 5080RTX 50904080120160200155.22165.9747.90MIN: 21.96 / MAX: 495.67MIN: 21.95 / MAX: 492.35MIN: 21.96 / MAX: 421.331. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: squeezenet_ssd

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20241226Target: Vulkan GPU - Model: squeezenet_ssdNVIDIA RTX 5080RTX 5080RTX 5090153045607568.0168.0222.02MIN: 7.27 / MAX: 102.26MIN: 7.34 / MAX: 99.35MIN: 7.41 / MAX: 92.661. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: yolov4-tiny

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20241226Target: Vulkan GPU - Model: yolov4-tinyNVIDIA RTX 5080RTX 5080RTX 5090102030405044.5544.0939.34MIN: 13.75 / MAX: 49.72MIN: 14.62 / MAX: 49.42MIN: 15.92 / MAX: 49.041. (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-yolov3NVIDIA RTX 5080RTX 5080RTX 5090163248648071.0271.2742.44MIN: 8.7 / MAX: 81.03MIN: 8.2 / MAX: 79.42MIN: 8.34 / MAX: 76.171. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: resnet50

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20241226Target: Vulkan GPU - Model: resnet50NVIDIA RTX 5080RTX 5080RTX 5090132639526557.5744.7628.58MIN: 9.95 / MAX: 94MIN: 9.99 / MAX: 92.95MIN: 10.02 / MAX: 89.481. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20241226Target: Vulkan GPU - Model: alexnetNVIDIA RTX 5080RTX 5080RTX 509051015202517.6018.548.74MIN: 3.2 / MAX: 23.03MIN: 3.21 / MAX: 22.49MIN: 3.21 / MAX: 22.231. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: resnet18

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20241226Target: Vulkan GPU - Model: resnet18NVIDIA RTX 5080RTX 5080RTX 50904812162016.3117.4210.93MIN: 4.4 / MAX: 44.98MIN: 4.48 / MAX: 44.53MIN: 4.48 / MAX: 44.351. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: vgg16

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20241226Target: Vulkan GPU - Model: vgg16NVIDIA RTX 5080RTX 5080RTX 5090102030405042.4742.0137.05MIN: 25.67 / MAX: 47.21MIN: 23.96 / MAX: 46.31MIN: 22.53 / MAX: 46.221. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: googlenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20241226Target: Vulkan GPU - Model: googlenetNVIDIA RTX 5080RTX 5080RTX 5090102030405042.5436.5813.92MIN: 7.59 / MAX: 104.85MIN: 7.53 / MAX: 102.56MIN: 7.49 / MAX: 98.371. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: blazeface

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20241226Target: Vulkan GPU - Model: blazefaceNVIDIA RTX 5080RTX 5080RTX 50902468104.086.422.67MIN: 2.36 / MAX: 52.23MIN: 2.36 / MAX: 52.25MIN: 2.4 / MAX: 41.211. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: efficientnet-b0

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20241226Target: Vulkan GPU - Model: efficientnet-b0NVIDIA RTX 5080RTX 5080RTX 5090153045607565.7763.3927.44MIN: 6.28 / MAX: 115.25MIN: 6.28 / MAX: 114.02MIN: 6.34 / MAX: 109.981. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: mnasnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20241226Target: Vulkan GPU - Model: mnasnetNVIDIA RTX 5080RTX 5080RTX 509091827364529.3337.599.80MIN: 3.68 / MAX: 66.87MIN: 3.7 / MAX: 66.4MIN: 3.75 / MAX: 63.51. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: shufflenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20241226Target: Vulkan GPU - Model: shufflenet-v2NVIDIA RTX 5080RTX 5080RTX 509036912159.7510.824.53MIN: 3.91 / MAX: 74.73MIN: 3.9 / MAX: 74.52MIN: 3.88 / MAX: 57.591. (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-v3NVIDIA RTX 5080RTX 5080RTX 50902468106.004.224.68MIN: 4.05 / MAX: 79MIN: 4.04 / MAX: 4.96MIN: 4.08 / MAX: 57.941. (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-v2NVIDIA RTX 5080RTX 5080RTX 509091827364533.9641.5210.21MIN: 3.85 / MAX: 68.9MIN: 3.78 / MAX: 68.66MIN: 3.85 / MAX: 64.731. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: mobilenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20241226Target: Vulkan GPU - Model: mobilenetNVIDIA RTX 5080RTX 5080RTX 5090163248648071.0271.2742.44MIN: 8.7 / MAX: 81.03MIN: 8.2 / MAX: 79.42MIN: 8.34 / MAX: 76.171. (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 128NVIDIA RTX 5080RTX 50802040608010097.0397.001. (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 128NVIDIA RTX 5080RTX 508020406080100101.84101.931. (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 128NVIDIA RTX 5080RTX 508020406080100105.25105.091. (CXX) g++ options: -O3

Chaos Group V-RAY

Mode: NVIDIA CUDA GPU

OpenBenchmarking.orgvpaths, More Is BetterChaos Group V-RAY 6.0Mode: NVIDIA CUDA GPUNVIDIA RTX 5080RTX 5080RTX 509010002000300040005000252825284851

Chaos Group V-RAY

Mode: NVIDIA RTX GPU

OpenBenchmarking.orgvpaths, More Is BetterChaos Group V-RAY 6.0Mode: NVIDIA RTX GPUNVIDIA RTX 5080RTX 5080RTX 50903K6K9K12K15K7372738811923

IndigoBench

Acceleration: OpenCL GPU - Scene: Bedroom

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: OpenCL GPU - Scene: BedroomNVIDIA RTX 5080RTX 5080RTX 5090102030405026.2726.2942.76

IndigoBench

Acceleration: OpenCL GPU - Scene: Supercar

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: OpenCL GPU - Scene: SupercarNVIDIA RTX 5080RTX 5080RTX 50902040608010068.3268.3592.70

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 CUDANVIDIA RTX 5080RTX 5080RTX 5090132639526558.0758.3035.14

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 2048NVIDIA RTX 5080RTX 508080016002400320040003687.773705.871. (CXX) g++ options: -O3

VkResample

Upscale: 2x - Precision: Double

OpenBenchmarking.orgms, Fewer Is BetterVkResample 1.0Upscale: 2x - Precision: DoubleNVIDIA RTX 5080RTX 5080RTX 509050100150200250212.31212.35103.511. (CXX) g++ options: -O3

Blender

Blend File: Barbershop - Compute: NVIDIA OptiX

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.3Blend File: Barbershop - Compute: NVIDIA OptiXNVIDIA RTX 5080RTX 5080RTX 509091827364539.0939.4824.33

FluidX3D

Test: FP32-FP32

OpenBenchmarking.orgMLUPs/s, More Is BetterFluidX3D 3.0Test: FP32-FP32NVIDIA RTX 5080RTX 5080RTX 50902K4K6K8K10K517451749524

Blender

Blend File: Pabellon Barcelona - Compute: NVIDIA CUDA

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.3Blend File: Pabellon Barcelona - Compute: NVIDIA CUDANVIDIA RTX 5080RTX 5080RTX 509071421283531.5431.5517.35

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 2048NVIDIA RTX 5080RTX 5080140028004200560070006630.676627.591. (CXX) g++ options: -O3

clpeak

OpenCL Test: Transfer Bandwidth enqueueReadBuffer

OpenBenchmarking.orgGBPS, More Is Betterclpeak 1.1.2OpenCL Test: Transfer Bandwidth enqueueReadBufferNVIDIA RTX 5080RTX 5080RTX 50904812162013.7013.9513.831. (CXX) g++ options: -O3

clpeak

OpenCL Test: Transfer Bandwidth enqueueWriteBuffer

OpenBenchmarking.orgGBPS, More Is Betterclpeak 1.1.2OpenCL Test: Transfer Bandwidth enqueueWriteBufferNVIDIA RTX 5080RTX 5080RTX 509051015202518.4918.6418.411. (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 2048NVIDIA RTX 5080RTX 5080140028004200560070006653.976642.521. (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 1024NVIDIA RTX 5080RTX 508080016002400320040003832.033831.531. (CXX) g++ options: -O3

RealSR-NCNN

Scale: 4x - TAA: Yes

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: YesNVIDIA RTX 5080RTX 5080RTX 509051015202518.6418.6813.48

NAMD CUDA

Input: STMV with 1,066,628 Atoms

OpenBenchmarking.orgns/day, More Is BetterNAMD CUDA 3.0.1Input: STMV with 1,066,628 AtomsNVIDIA RTX 5080RTX 50800.90491.80982.71473.61964.52454.011554.02164

FluidX3D

Test: FP32-FP16S

OpenBenchmarking.orgMLUPs/s, More Is BetterFluidX3D 3.0Test: FP32-FP16SNVIDIA RTX 5080RTX 5080RTX 50904K8K12K16K20K102751027618499

FluidX3D

Test: FP32-FP16C

OpenBenchmarking.orgMLUPs/s, More Is BetterFluidX3D 3.0Test: FP32-FP16CNVIDIA RTX 5080RTX 5080RTX 50904K8K12K16K20K103301032819140

Blender

Blend File: Fishy Cat - Compute: NVIDIA CUDA

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.3Blend File: Fishy Cat - Compute: NVIDIA CUDANVIDIA RTX 5080RTX 5080RTX 50904812162014.4314.408.92

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 1024NVIDIA RTX 5080RTX 5080160032004800640080007304.837292.841. (CXX) g++ options: -O3

Blender

Blend File: Junkshop - Compute: NVIDIA CUDA

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.3Blend File: Junkshop - Compute: NVIDIA CUDANVIDIA RTX 5080RTX 5080RTX 50904812162012.9413.808.99

Blender

Blend File: Classroom - Compute: NVIDIA CUDA

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.3Blend File: Classroom - Compute: NVIDIA CUDANVIDIA RTX 5080RTX 5080RTX 50904812162014.0514.088.38

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 1024NVIDIA RTX 5080RTX 5080160032004800640080007331.657327.351. (CXX) g++ options: -O3

Hashcat

Benchmark: MD5

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: MD5NVIDIA RTX 5080RTX 5080RTX 509020000M40000M60000M80000M100000MSE +/- 102551750000.00, N = 29981580000099435000000106848250000

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 512NVIDIA RTX 5080RTX 508080016002400320040003849.783878.921. (CXX) g++ options: -O3

Blender

Blend File: Pabellon Barcelona - Compute: NVIDIA OptiX

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.3Blend File: Pabellon Barcelona - Compute: NVIDIA OptiXNVIDIA RTX 5080RTX 5080RTX 5090369121510.3910.607.00

Hashcat

Benchmark: SHA-512

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: SHA-512NVIDIA RTX 5080RTX 5080RTX 50902000M4000M6000M8000M10000M426550000042430000008900400000

Hashcat

Benchmark: SHA1

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: SHA1NVIDIA RTX 5080RTX 5080RTX 509015000M30000M45000M60000M75000M326331000003252250000068852500000

Blender

Blend File: Classroom - Compute: NVIDIA OptiX

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.3Blend File: Classroom - Compute: NVIDIA OptiXNVIDIA RTX 5080RTX 5080RTX 509036912159.439.476.16

ProjectPhysX OpenCL-Benchmark

Operation: Memory Bandwidth Coalesced Write

OpenBenchmarking.orgGB/s, More Is BetterProjectPhysX OpenCL-Benchmark 1.6Operation: Memory Bandwidth Coalesced WriteNVIDIA RTX 5080RTX 5080RTX 5090400800120016002000911.96911.111687.491. (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 ReadNVIDIA RTX 5080RTX 5080RTX 509030060090012001500910.07909.661596.241. (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 ComputeNVIDIA RTX 5080RTX 5080RTX 5090102030405020.1720.3741.801. (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 ComputeNVIDIA RTX 5080RTX 5080RTX 5090122436486027.2627.2254.021. (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 ComputeNVIDIA RTX 5080RTX 5080RTX 5090142842567030.2030.2161.761. (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 ComputeNVIDIA RTX 5080RTX 5080RTX 50900.98911.97822.96733.95644.94554.3004.2764.3961. (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 ComputeNVIDIA RTX 5080RTX 5080RTX 509030609012015059.4759.47122.911. (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 ComputeNVIDIA RTX 5080RTX 5080RTX 509030609012015058.1257.85117.851. (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 ComputeNVIDIA RTX 5080RTX 5080RTX 50900.43880.87761.31641.75522.1940.950.951.951. (CXX) g++ options: -std=c++17 -pthread -lOpenCL

VkResample

Upscale: 2x - Precision: Single

OpenBenchmarking.orgms, Fewer Is BetterVkResample 1.0Upscale: 2x - Precision: SingleNVIDIA RTX 5080RTX 5080RTX 5090369121510.27610.2785.6481. (CXX) g++ options: -O3

clpeak

OpenCL Test: Double-Precision Compute

OpenBenchmarking.orgGFLOPS, More Is Betterclpeak 1.1.2OpenCL Test: Double-Precision ComputeNVIDIA RTX 5080RTX 5080RTX 5090400800120016002000962.45962.391976.901. (CXX) g++ options: -O3

Blender

Blend File: Junkshop - Compute: NVIDIA OptiX

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.3Blend File: Junkshop - Compute: NVIDIA OptiXNVIDIA RTX 5080RTX 5080RTX 50902468107.777.845.66

Hashcat

Benchmark: 7-Zip

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: 7-ZipNVIDIA RTX 5080RTX 5080RTX 5090700K1400K2100K2800K3500K166450016570003272300

Blender

Blend File: BMW27 - Compute: NVIDIA CUDA

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.3Blend File: BMW27 - Compute: NVIDIA CUDANVIDIA RTX 5080RTX 5080RTX 50902468107.297.344.72

Blender

Blend File: Fishy Cat - Compute: NVIDIA OptiX

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.3Blend File: Fishy Cat - Compute: NVIDIA OptiXNVIDIA RTX 5080RTX 5080RTX 50902468107.197.154.55

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 512NVIDIA RTX 5080RTX 50802K4K6K8K10K7799.247804.821. (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 512NVIDIA RTX 5080RTX 50802K4K6K8K10K7864.887865.651. (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 BandwidthNVIDIA RTX 5080RTX 5080RTX 509060012001800240030002734.062728.642870.681. (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 + XTSNVIDIA RTX 5080RTX 5080RTX 5090600K1200K1800K2400K3000K129420012947002776000

NAMD CUDA

Input: ATPase with 327,506 Atoms

OpenBenchmarking.orgns/day, More Is BetterNAMD CUDA 3.0.1Input: ATPase with 327,506 AtomsNVIDIA RTX 5080RTX 50804812162014.4414.57

RealSR-NCNN

Scale: 4x - TAA: No

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: NoNVIDIA RTX 5080RTX 5080RTX 50901.17472.34943.52414.69885.87355.1535.2214.630

Blender

Blend File: BMW27 - Compute: NVIDIA OptiX

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.3Blend File: BMW27 - Compute: NVIDIA OptiXNVIDIA RTX 5080RTX 5080RTX 50900.9271.8542.7813.7084.6354.104.122.92

Waifu2x-NCNN Vulkan

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

OpenBenchmarking.orgSeconds, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818Scale: 2x - Denoise: 3 - TAA: YesNVIDIA RTX 5080RTX 5080RTX 50900.65931.31861.97792.63723.29652.7332.9302.299

clpeak

OpenCL Test: Global Memory Bandwidth

OpenBenchmarking.orgGBPS, More Is Betterclpeak 1.1.2OpenCL Test: Global Memory BandwidthNVIDIA RTX 5080RTX 5080RTX 509030060090012001500849.74849.231562.971. (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 SPNVIDIA RTX 5080RTX 5080RTX 509090018002700360045002381.922381.804398.391. (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_NNVIDIA RTX 5080RTX 5080RTX 50908K16K24K32K40K19013.118948.135937.21. (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: TriadNVIDIA RTX 5080RTX 5080RTX 509071421283527.5427.8527.831. (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 ReadbackNVIDIA RTX 5080RTX 5080RTX 509071421283528.5628.3828.691. (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 DownloadNVIDIA RTX 5080RTX 5080RTX 509071421283528.7928.7928.791. (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: S3DNVIDIA RTX 5080RTX 5080RTX 50902004006008001000592.12591.441117.541. (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: ReductionNVIDIA RTX 5080RTX 5080RTX 50902004006008001000857.86858.04837.211. (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 ComputeNVIDIA RTX 5080RTX 5080RTX 509030K60K90K120K150K59305.8559218.89121415.531. (CXX) g++ options: -O3

clpeak

OpenCL Test: Integer Compute

OpenBenchmarking.orgGIOPS, More Is Betterclpeak 1.1.2OpenCL Test: Integer ComputeNVIDIA RTX 5080RTX 5080RTX 509013K26K39K52K65K30173.7330128.0462151.941. (CXX) g++ options: -O3

clpeak

OpenCL Test: Integer 24-bit Compute

OpenBenchmarking.orgGIOPS, More Is Betterclpeak 1.1.2OpenCL Test: Integer 24-bit ComputeNVIDIA RTX 5080RTX 5080RTX 509013K26K39K52K65K30059.4330086.5061843.111. (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 HashNVIDIA RTX 5080RTX 5080RTX 509030609012015069.3969.56142.411. (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 LatencyNVIDIA RTX 5080RTX 5080RTX 50901.15882.31763.47644.63525.7944.874.875.151. (CXX) g++ options: -O3


Phoronix Test Suite v10.8.5