NVIDIA 5090 Compute January 2025

Benchmarks for a future article.

HTML result view exported from: https://openbenchmarking.org/result/2501240-PTS-5090COMP22&grs.

NVIDIA 5090 Compute January 2025ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLCompilerFile-SystemScreen ResolutionRTX 5090Intel 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 14.2.0ext43840x2160OpenBenchmarking.org- nouveau.modeset=0 - Transparent Huge Pages: madvise- --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 - Scaling Governor: intel_pstate performance (EPP: default) - CPU Microcode: 0x114 - Thermald 2.5.8- BAR1 / Visible vRAM Size: 32768 MiB - vBIOS Version: 98.02.2e.00.03- GPU Compute Cores: 21760- 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 5090 Compute January 2025opencl-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 Computevkpeak: int16-vec4vkpeak: int16-scalarvkpeak: int32-vec4vkpeak: int32-scalarvkpeak: fp64-vec4vkpeak: fp64-scalarvkpeak: fp16-vec4vkpeak: fp16-scalarvkpeak: fp32-vec4vkpeak: fp32-scalarvkfft: FFT + iFFT C2C Bluestein benchmark in double precisionvkfft: FFT + iFFT C2C Bluestein in single precisionvkfft: FFT + iFFT R2C / C2Rvkfft: FFT + iFFT C2C 1D batched in single precision, no reshufflingvkfft: FFT + iFFT C2C multidimensional in single precisionvkfft: FFT + iFFT C2C 1D batched in half precisionvkfft: FFT + iFFT C2C 1D batched in double precisionvkfft: FFT + iFFT C2C 1D batched in single precisiongpuowl: 332220523gpuowl: 77936867gpuowl: 57885161fluidx3d: FP32-FP16Cfluidx3d: FP32-FP16Sfluidx3d: FP32-FP32hashcat: TrueCrypt RIPEMD160 + XTShashcat: 7-Ziphashcat: SHA-512hashcat: SHA1financebench: Monte-Carlo OpenCLfinancebench: Black-Scholes OpenCLfahbench: cl-mem: Copycl-mem: Writecl-mem: Readclpeak: Integer 24-bit Computeclpeak: Integer Computeclpeak: Double-Precision Computeclpeak: Single-Precision Computeclpeak: Global Memory Bandwidthshoc: OpenCL - S3Dshoc: OpenCL - MD5 Hashshoc: OpenCL - GEMM SGEMM_Nshoc: OpenCL - FFT SPshoc: OpenCL - Texture Read Bandwidthshoc: OpenCL - Max SP Flopsindigobench: OpenCL GPU - Bedroomindigobench: OpenCL GPU - Supercarv-ray: NVIDIA RTX GPUv-ray: NVIDIA CUDA GPUblender: Junkshop - NVIDIA OptiXblender: Junkshop - NVIDIA CUDAblender: Barbershop - NVIDIA OptiXblender: Barbershop - NVIDIA CUDAblender: Pabellon Barcelona - NVIDIA OptiXblender: Pabellon Barcelona - NVIDIA CUDAblender: Fishy Cat - NVIDIA OptiXblender: Fishy Cat - NVIDIA CUDAblender: Classroom - NVIDIA OptiXblender: Classroom - NVIDIA CUDAblender: BMW27 - NVIDIA OptiXblender: BMW27 - NVIDIA CUDARTX 50901690.141607.7341.52353.52661.6504.378122.630117.8021.94543825.0340041.9762007.9862182.821966.451967.6272700.5562479.9983116.5662849.5999303598216452224315314370929884263785233994417.071834.862415.46191531840095172768860326940088784500006889632500062.1447142.061478.8068350.31551.41309.061979.7662214.191973.53121683.051565.851121.87142.44335979.94403.732874.7512438742.79293.0171191848825.638.9724.5535.156.9917.334.538.906.138.362.9220.32OpenBenchmarking.org

ProjectPhysX OpenCL-Benchmark

Operation: Memory Bandwidth Coalesced Write

OpenBenchmarking.orgGB/s, More Is BetterProjectPhysX OpenCL-Benchmark 1.6Operation: Memory Bandwidth Coalesced WriteRTX 5090400800120016002000SE +/- 1.93, N = 61690.141. (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 509030060090012001500SE +/- 2.56, N = 61607.731. (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 5090918273645SE +/- 0.06, N = 641.521. (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 50901224364860SE +/- 0.07, N = 653.531. (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 50901428425670SE +/- 0.04, N = 661.651. (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 50900.98511.97022.95533.94044.9255SE +/- 0.002, N = 64.3781. (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 5090306090120150SE +/- 0.01, N = 6122.631. (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 5090306090120150SE +/- 0.06, N = 6117.801. (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 50900.43760.87521.31281.75042.188SE +/- 0.000, N = 61.9451. (CXX) g++ options: -std=c++17 -pthread -lOpenCL

vkpeak

int16-vec4

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20240505int16-vec4RTX 50909K18K27K36K45KSE +/- 74.96, N = 343825.03

vkpeak

int16-scalar

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20240505int16-scalarRTX 50909K18K27K36K45KSE +/- 92.26, N = 340041.97

vkpeak

int32-vec4

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20240505int32-vec4RTX 509013K26K39K52K65KSE +/- 104.05, N = 362007.98

vkpeak

int32-scalar

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20240505int32-scalarRTX 509013K26K39K52K65KSE +/- 16.80, N = 362182.82

vkpeak

fp64-vec4

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20240505fp64-vec4RTX 5090400800120016002000SE +/- 0.40, N = 31966.45

vkpeak

fp64-scalar

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20240505fp64-scalarRTX 5090400800120016002000SE +/- 0.05, N = 31967.62

vkpeak

fp16-vec4

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20240505fp16-vec4RTX 509016K32K48K64K80KSE +/- 68.93, N = 372700.55

vkpeak

fp16-scalar

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20240505fp16-scalarRTX 509013K26K39K52K65KSE +/- 62.98, N = 362479.99

vkpeak

fp32-vec4

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20240505fp32-vec4RTX 509020K40K60K80K100KSE +/- 74.83, N = 383116.56

vkpeak

fp32-scalar

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20240505fp32-scalarRTX 509013K26K39K52K65KSE +/- 119.36, N = 362849.59

VkFFT

Test: FFT + iFFT C2C Bluestein benchmark in double precision

OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 1.3.4Test: FFT + iFFT C2C Bluestein benchmark in double precisionRTX 50902K4K6K8K10KSE +/- 3.33, N = 399301. (CXX) g++ options: -O3

VkFFT

Test: FFT + iFFT C2C Bluestein in single precision

OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 1.3.4Test: FFT + iFFT C2C Bluestein in single precisionRTX 50908K16K24K32K40KSE +/- 3.53, N = 3359821. (CXX) g++ options: -O3

VkFFT

Test: FFT + iFFT R2C / C2R

OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 1.3.4Test: FFT + iFFT R2C / C2RRTX 509040K80K120K160K200KSE +/- 660.95, N = 61645221. (CXX) g++ options: -O3

VkFFT

Test: FFT + iFFT C2C 1D batched in single precision, no reshuffling

OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 1.3.4Test: FFT + iFFT C2C 1D batched in single precision, no reshufflingRTX 509050K100K150K200K250KSE +/- 1769.18, N = 32431531. (CXX) g++ options: -O3

VkFFT

Test: FFT + iFFT C2C multidimensional in single precision

OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 1.3.4Test: FFT + iFFT C2C multidimensional in single precisionRTX 509030K60K90K120K150KSE +/- 509.43, N = 41437091. (CXX) g++ options: -O3

VkFFT

Test: FFT + iFFT C2C 1D batched in half precision

OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 1.3.4Test: FFT + iFFT C2C 1D batched in half precisionRTX 509060K120K180K240K300KSE +/- 3063.93, N = 32988421. (CXX) g++ options: -O3

VkFFT

Test: FFT + iFFT C2C 1D batched in double precision

OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 1.3.4Test: FFT + iFFT C2C 1D batched in double precisionRTX 509014K28K42K56K70KSE +/- 487.66, N = 3637851. (CXX) g++ options: -O3

VkFFT

Test: FFT + iFFT C2C 1D batched in single precision

OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 1.3.4Test: FFT + iFFT C2C 1D batched in single precisionRTX 509050K100K150K200K250KSE +/- 2849.67, N = 42339941. (CXX) g++ options: -O3

GpuOwl

Exponent: 332220523

OpenBenchmarking.orgIterations / Second, More Is BetterGpuOwl 7.5Exponent: 332220523RTX 509090180270360450SE +/- 0.06, N = 3417.071. (CXX) g++ options: -O3 -lgmp -lOpenCL

GpuOwl

Exponent: 77936867

OpenBenchmarking.orgIterations / Second, More Is BetterGpuOwl 7.5Exponent: 77936867RTX 5090400800120016002000SE +/- 0.00, N = 31834.861. (CXX) g++ options: -O3 -lgmp -lOpenCL

GpuOwl

Exponent: 57885161

OpenBenchmarking.orgIterations / Second, More Is BetterGpuOwl 7.5Exponent: 57885161RTX 50905001000150020002500SE +/- 0.00, N = 32415.461. (CXX) g++ options: -O3 -lgmp -lOpenCL

FluidX3D

Test: FP32-FP16C

OpenBenchmarking.orgMLUPs/s, More Is BetterFluidX3D 3.0Test: FP32-FP16CRTX 50904K8K12K16K20KSE +/- 8.41, N = 519153

FluidX3D

Test: FP32-FP16S

OpenBenchmarking.orgMLUPs/s, More Is BetterFluidX3D 3.0Test: FP32-FP16SRTX 50904K8K12K16K20KSE +/- 1.14, N = 518400

FluidX3D

Test: FP32-FP32

OpenBenchmarking.orgMLUPs/s, More Is BetterFluidX3D 3.0Test: FP32-FP32RTX 50902K4K6K8K10KSE +/- 0.88, N = 39517

Hashcat

Benchmark: TrueCrypt RIPEMD160 + XTS

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: TrueCrypt RIPEMD160 + XTSRTX 5090600K1200K1800K2400K3000KSE +/- 5285.13, N = 52768860

Hashcat

Benchmark: 7-Zip

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: 7-ZipRTX 5090700K1400K2100K2800K3500KSE +/- 4312.96, N = 43269400

Hashcat

Benchmark: SHA-512

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: SHA-512RTX 50902000M4000M6000M8000M10000MSE +/- 3733072.91, N = 48878450000

Hashcat

Benchmark: SHA1

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: SHA1RTX 509015000M30000M45000M60000M75000MSE +/- 72445857.66, N = 468896325000

FinanceBench

Benchmark: Monte-Carlo OpenCL

OpenBenchmarking.orgms, Fewer Is BetterFinanceBench 2016-07-25Benchmark: Monte-Carlo OpenCLRTX 50901428425670SE +/- 0.10, N = 762.141. (CXX) g++ options: -O3 -march=native -fopenmp

FinanceBench

Benchmark: Black-Scholes OpenCL

OpenBenchmarking.orgms, Fewer Is BetterFinanceBench 2016-07-25Benchmark: Black-Scholes OpenCLRTX 50900.46370.92741.39111.85482.3185SE +/- 0.003, N = 132.0611. (CXX) g++ options: -O3 -march=native -fopenmp

FAHBench

OpenBenchmarking.orgNs Per Day, More Is BetterFAHBench 2.3.2RTX 5090100200300400500SE +/- 0.29, N = 3478.81

cl-mem

Benchmark: Copy

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: CopyRTX 509080160240320400SE +/- 0.11, N = 10350.31. (CC) gcc options: -O2 -flto -lOpenCL

cl-mem

Benchmark: Write

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: WriteRTX 509030060090012001500SE +/- 1.81, N = 101551.41. (CC) gcc options: -O2 -flto -lOpenCL

cl-mem

Benchmark: Read

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: ReadRTX 509030060090012001500SE +/- 0.69, N = 101309.01. (CC) gcc options: -O2 -flto -lOpenCL

clpeak

OpenCL Test: Integer 24-bit Compute

OpenBenchmarking.orgGIOPS, More Is Betterclpeak 1.1.2OpenCL Test: Integer 24-bit ComputeRTX 509013K26K39K52K65KSE +/- 5.50, N = 1361979.761. (CXX) g++ options: -O3

clpeak

OpenCL Test: Integer Compute

OpenBenchmarking.orgGIOPS, More Is Betterclpeak 1.1.2OpenCL Test: Integer ComputeRTX 509013K26K39K52K65KSE +/- 5.22, N = 1362214.191. (CXX) g++ options: -O3

clpeak

OpenCL Test: Double-Precision Compute

OpenBenchmarking.orgGFLOPS, More Is Betterclpeak 1.1.2OpenCL Test: Double-Precision ComputeRTX 5090400800120016002000SE +/- 0.35, N = 61973.531. (CXX) g++ options: -O3

clpeak

OpenCL Test: Single-Precision Compute

OpenBenchmarking.orgGFLOPS, More Is Betterclpeak 1.1.2OpenCL Test: Single-Precision ComputeRTX 509030K60K90K120K150KSE +/- 4.12, N = 13121683.051. (CXX) g++ options: -O3

clpeak

OpenCL Test: Global Memory Bandwidth

OpenBenchmarking.orgGBPS, More Is Betterclpeak 1.1.2OpenCL Test: Global Memory BandwidthRTX 509030060090012001500SE +/- 1.10, N = 111565.851. (CXX) g++ options: -O3

SHOC Scalable HeterOgeneous Computing

Target: OpenCL - Benchmark: S3D

OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: S3DRTX 50902004006008001000SE +/- 0.66, N = 121121.871. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

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 5090306090120150SE +/- 0.02, N = 13142.441. (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 50908K16K24K32K40KSE +/- 15.77, N = 1235979.91. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

SHOC Scalable HeterOgeneous Computing

Target: OpenCL - Benchmark: FFT SP

OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: FFT SPRTX 50909001800270036004500SE +/- 8.96, N = 154403.731. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

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 50906001200180024003000SE +/- 0.58, N = 72874.751. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

SHOC Scalable HeterOgeneous Computing

Target: OpenCL - Benchmark: Max SP Flops

OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: Max SP FlopsRTX 509030K60K90K120K150KSE +/- 20.95, N = 31243871. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

IndigoBench

Acceleration: OpenCL GPU - Scene: Bedroom

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: OpenCL GPU - Scene: BedroomRTX 50901020304050SE +/- 0.10, N = 342.79

IndigoBench

Acceleration: OpenCL GPU - Scene: Supercar

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: OpenCL GPU - Scene: SupercarRTX 509020406080100SE +/- 0.06, N = 393.02

Chaos Group V-RAY

Mode: NVIDIA RTX GPU

OpenBenchmarking.orgvpaths, More Is BetterChaos Group V-RAY 6.0Mode: NVIDIA RTX GPURTX 50903K6K9K12K15KSE +/- 5.33, N = 311918

Chaos Group V-RAY

Mode: NVIDIA CUDA GPU

OpenBenchmarking.orgvpaths, More Is BetterChaos Group V-RAY 6.0Mode: NVIDIA CUDA GPURTX 509010002000300040005000SE +/- 0.00, N = 34882

Blender

Blend File: Junkshop - Compute: NVIDIA OptiX

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.3Blend File: Junkshop - Compute: NVIDIA OptiXRTX 50901.26682.53363.80045.06726.334SE +/- 0.01, N = 75.63

Blender

Blend File: Junkshop - Compute: NVIDIA CUDA

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.3Blend File: Junkshop - Compute: NVIDIA CUDARTX 50903691215SE +/- 0.02, N = 58.97

Blender

Blend File: Barbershop - Compute: NVIDIA OptiX

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.3Blend File: Barbershop - Compute: NVIDIA OptiXRTX 5090612182430SE +/- 0.07, N = 324.55

Blender

Blend File: Barbershop - Compute: NVIDIA CUDA

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.3Blend File: Barbershop - Compute: NVIDIA CUDARTX 5090816243240SE +/- 0.07, N = 335.15

Blender

Blend File: Pabellon Barcelona - Compute: NVIDIA OptiX

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.3Blend File: Pabellon Barcelona - Compute: NVIDIA OptiXRTX 5090246810SE +/- 0.01, N = 66.99

Blender

Blend File: Pabellon Barcelona - Compute: NVIDIA CUDA

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.3Blend File: Pabellon Barcelona - Compute: NVIDIA CUDARTX 509048121620SE +/- 0.03, N = 317.33

Blender

Blend File: Fishy Cat - Compute: NVIDIA OptiX

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.3Blend File: Fishy Cat - Compute: NVIDIA OptiXRTX 50901.01932.03863.05794.07725.0965SE +/- 0.04, N = 154.53

Blender

Blend File: Fishy Cat - Compute: NVIDIA CUDA

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.3Blend File: Fishy Cat - Compute: NVIDIA CUDARTX 5090246810SE +/- 0.01, N = 58.90

Blender

Blend File: Classroom - Compute: NVIDIA OptiX

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.3Blend File: Classroom - Compute: NVIDIA OptiXRTX 5090246810SE +/- 0.01, N = 66.13

Blender

Blend File: Classroom - Compute: NVIDIA CUDA

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.3Blend File: Classroom - Compute: NVIDIA CUDARTX 5090246810SE +/- 0.01, N = 58.36

Blender

Blend File: BMW27 - Compute: NVIDIA OptiX

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.3Blend File: BMW27 - Compute: NVIDIA OptiXRTX 50900.6571.3141.9712.6283.285SE +/- 0.04, N = 152.92

ProjectPhysX OpenCL-Benchmark

GPU Temperature Monitor

MinAvgMaxRTX 509044.051.167.0OpenBenchmarking.orgCelsius, Fewer Is BetterProjectPhysX OpenCL-Benchmark 1.6GPU Temperature Monitor20406080100

ProjectPhysX OpenCL-Benchmark

GPU Power Consumption Monitor

MinAvgMaxRTX 509024.0150.9391.8OpenBenchmarking.orgWatts, Fewer Is BetterProjectPhysX OpenCL-Benchmark 1.6GPU Power Consumption Monitor100200300400500

vkpeak

GPU Temperature Monitor

MinAvgMaxRTX 509037.067.378.0OpenBenchmarking.orgCelsius, Fewer Is Bettervkpeak 20240505GPU Temperature Monitor20406080100

vkpeak

GPU Power Consumption Monitor

MinAvgMaxRTX 509017.8444.1583.2OpenBenchmarking.orgWatts, Fewer Is Bettervkpeak 20240505GPU Power Consumption Monitor160320480640800

VkFFT

GPU Temperature Monitor

MinAvgMaxRTX 509034.040.046.0OpenBenchmarking.orgCelsius, Fewer Is BetterVkFFT 1.3.4GPU Temperature Monitor1224364860

VkFFT

GPU Power Consumption Monitor

MinAvgMaxRTX 509014.8150.0280.5OpenBenchmarking.orgWatts, Fewer Is BetterVkFFT 1.3.4GPU Power Consumption Monitor70140210280350

VkFFT

GPU Temperature Monitor

MinAvgMaxRTX 509033.037.046.0OpenBenchmarking.orgCelsius, Fewer Is BetterVkFFT 1.3.4GPU Temperature Monitor1224364860

VkFFT

GPU Power Consumption Monitor

MinAvgMaxRTX 509012.2123.6284.8OpenBenchmarking.orgWatts, Fewer Is BetterVkFFT 1.3.4GPU Power Consumption Monitor70140210280350

VkFFT

GPU Temperature Monitor

MinAvgMaxRTX 509034.036.042.0OpenBenchmarking.orgCelsius, Fewer Is BetterVkFFT 1.3.4GPU Temperature Monitor1224364860

VkFFT

GPU Power Consumption Monitor

MinAvgMaxRTX 509013.894.8222.2OpenBenchmarking.orgWatts, Fewer Is BetterVkFFT 1.3.4GPU Power Consumption Monitor60120180240300

VkFFT

GPU Temperature Monitor

MinAvgMaxRTX 509032.035.940.0OpenBenchmarking.orgCelsius, Fewer Is BetterVkFFT 1.3.4GPU Temperature Monitor1122334455

VkFFT

GPU Power Consumption Monitor

MinAvgMaxRTX 509014.0110.5182.2OpenBenchmarking.orgWatts, Fewer Is BetterVkFFT 1.3.4GPU Power Consumption Monitor50100150200250

VkFFT

GPU Temperature Monitor

MinAvgMaxRTX 509031.034.439.0OpenBenchmarking.orgCelsius, Fewer Is BetterVkFFT 1.3.4GPU Temperature Monitor1122334455

VkFFT

GPU Power Consumption Monitor

MinAvgMaxRTX 509012.2101.1199.8OpenBenchmarking.orgWatts, Fewer Is BetterVkFFT 1.3.4GPU Power Consumption Monitor50100150200250

VkFFT

GPU Temperature Monitor

MinAvgMaxRTX 509031.032.634.0OpenBenchmarking.orgCelsius, Fewer Is BetterVkFFT 1.3.4GPU Temperature Monitor1020304050

VkFFT

GPU Power Consumption Monitor

MinAvgMaxRTX 509011.677.2125.0OpenBenchmarking.orgWatts, Fewer Is BetterVkFFT 1.3.4GPU Power Consumption Monitor4080120160200

VkFFT

GPU Temperature Monitor

MinAvgMaxRTX 509031.034.138.0OpenBenchmarking.orgCelsius, Fewer Is BetterVkFFT 1.3.4GPU Temperature Monitor1122334455

VkFFT

GPU Power Consumption Monitor

MinAvgMaxRTX 509012.759.5120.6OpenBenchmarking.orgWatts, Fewer Is BetterVkFFT 1.3.4GPU Power Consumption Monitor4080120160200

VkFFT

GPU Temperature Monitor

MinAvgMaxRTX 509039.042.748.0OpenBenchmarking.orgCelsius, Fewer Is BetterVkFFT 1.3.4GPU Temperature Monitor1428425670

VkFFT

GPU Power Consumption Monitor

MinAvgMaxRTX 509021.4119.3175.1OpenBenchmarking.orgWatts, Fewer Is BetterVkFFT 1.3.4GPU Power Consumption Monitor50100150200250

GpuOwl

GPU Temperature Monitor

MinAvgMaxRTX 509045.057.661.0OpenBenchmarking.orgCelsius, Fewer Is BetterGpuOwl 7.5GPU Temperature Monitor20406080100

GpuOwl

GPU Power Consumption Monitor

MinAvgMaxRTX 509018.0315.7347.6OpenBenchmarking.orgWatts, Fewer Is BetterGpuOwl 7.5GPU Power Consumption Monitor100200300400500

GpuOwl

GPU Temperature Monitor

MinAvgMaxRTX 509043.054.858.0OpenBenchmarking.orgCelsius, Fewer Is BetterGpuOwl 7.5GPU Temperature Monitor1632486480

GpuOwl

GPU Power Consumption Monitor

MinAvgMaxRTX 509015.0278.1302.4OpenBenchmarking.orgWatts, Fewer Is BetterGpuOwl 7.5GPU Power Consumption Monitor80160240320400

GpuOwl

GPU Temperature Monitor

MinAvgMaxRTX 509047.054.656.0OpenBenchmarking.orgCelsius, Fewer Is BetterGpuOwl 7.5GPU Temperature Monitor1632486480

GpuOwl

GPU Power Consumption Monitor

MinAvgMaxRTX 509018.8263.8290.1OpenBenchmarking.orgWatts, Fewer Is BetterGpuOwl 7.5GPU Power Consumption Monitor70140210280350

FluidX3D

GPU Temperature Monitor

MinAvgMaxRTX 509044.057.466.0OpenBenchmarking.orgCelsius, Fewer Is BetterFluidX3D 3.0GPU Temperature Monitor20406080100

FluidX3D

GPU Power Consumption Monitor

MinAvgMaxRTX 509018.1376.7557.2OpenBenchmarking.orgWatts, Fewer Is BetterFluidX3D 3.0GPU Power Consumption Monitor140280420560700

FluidX3D

GPU Temperature Monitor

MinAvgMaxRTX 509042.051.758.0OpenBenchmarking.orgCelsius, Fewer Is BetterFluidX3D 3.0GPU Temperature Monitor1632486480

FluidX3D

GPU Power Consumption Monitor

MinAvgMaxRTX 509019.6303.3442.4OpenBenchmarking.orgWatts, Fewer Is BetterFluidX3D 3.0GPU Power Consumption Monitor120240360480600

FluidX3D

GPU Temperature Monitor

MinAvgMaxRTX 509034.045.553.0OpenBenchmarking.orgCelsius, Fewer Is BetterFluidX3D 3.0GPU Temperature Monitor1530456075

FluidX3D

GPU Power Consumption Monitor

MinAvgMaxRTX 509015.7289.8366.3OpenBenchmarking.orgWatts, Fewer Is BetterFluidX3D 3.0GPU Power Consumption Monitor100200300400500

Hashcat

GPU Temperature Monitor

MinAvgMaxRTX 509035.037.351.0OpenBenchmarking.orgCelsius, Fewer Is BetterHashcat 6.2.4GPU Temperature Monitor1530456075

Hashcat

GPU Power Consumption Monitor

MinAvgMaxRTX 509015.3108.2504.5OpenBenchmarking.orgWatts, Fewer Is BetterHashcat 6.2.4GPU Power Consumption Monitor130260390520650

Hashcat

GPU Temperature Monitor

MinAvgMaxRTX 509037.039.251.0OpenBenchmarking.orgCelsius, Fewer Is BetterHashcat 6.2.4GPU Temperature Monitor1530456075

Hashcat

GPU Power Consumption Monitor

MinAvgMaxRTX 509017.095.7340.5OpenBenchmarking.orgWatts, Fewer Is BetterHashcat 6.2.4GPU Power Consumption Monitor80160240320400

Hashcat

GPU Temperature Monitor

MinAvgMaxRTX 509038.046.460.0OpenBenchmarking.orgCelsius, Fewer Is BetterHashcat 6.2.4GPU Temperature Monitor1632486480

Hashcat

GPU Power Consumption Monitor

MinAvgMaxRTX 509015.6232.4584.8OpenBenchmarking.orgWatts, Fewer Is BetterHashcat 6.2.4GPU Power Consumption Monitor160320480640800

Hashcat

GPU Temperature Monitor

MinAvgMaxRTX 509035.042.657.0OpenBenchmarking.orgCelsius, Fewer Is BetterHashcat 6.2.4GPU Temperature Monitor1632486480

Hashcat

GPU Power Consumption Monitor

MinAvgMaxRTX 509013.8170.6532.7OpenBenchmarking.orgWatts, Fewer Is BetterHashcat 6.2.4GPU Power Consumption Monitor140280420560700

FinanceBench

GPU Temperature Monitor

MinAvgMaxRTX 509032.034.136.0OpenBenchmarking.orgCelsius, Fewer Is BetterFinanceBench 2016-07-25GPU Temperature Monitor1020304050

FinanceBench

GPU Power Consumption Monitor

MinAvgMaxRTX 509013.240.384.1OpenBenchmarking.orgWatts, Fewer Is BetterFinanceBench 2016-07-25GPU Power Consumption Monitor20406080100

FinanceBench

GPU Temperature Monitor

MinAvgMaxRTX 509033.035.639.0OpenBenchmarking.orgCelsius, Fewer Is BetterFinanceBench 2016-07-25GPU Temperature Monitor1122334455

FinanceBench

GPU Power Consumption Monitor

MinAvgMaxRTX 509017.042.071.3OpenBenchmarking.orgWatts, Fewer Is BetterFinanceBench 2016-07-25GPU Power Consumption Monitor20406080100

FAHBench

GPU Temperature Monitor

MinAvgMaxRTX 509032.040.446.0OpenBenchmarking.orgCelsius, Fewer Is BetterFAHBench 2.3.2GPU Temperature Monitor1224364860

FAHBench

GPU Power Consumption Monitor

MinAvgMaxRTX 509015.0144.9208.5OpenBenchmarking.orgWatts, Fewer Is BetterFAHBench 2.3.2GPU Power Consumption Monitor60120180240300

cl-mem

GPU Temperature Monitor

MinAvgMaxRTX 509034.036.439.0OpenBenchmarking.orgCelsius, Fewer Is Bettercl-mem 2017-01-13GPU Temperature Monitor1122334455

cl-mem

GPU Power Consumption Monitor

MinAvgMaxRTX 509013.9115.2275.4OpenBenchmarking.orgWatts, Fewer Is Bettercl-mem 2017-01-13GPU Power Consumption Monitor70140210280350

cl-mem

GPU Temperature Monitor

MinAvgMaxRTX 509034.036.439.0OpenBenchmarking.orgCelsius, Fewer Is Bettercl-mem 2017-01-13GPU Temperature Monitor1122334455

cl-mem

GPU Power Consumption Monitor

MinAvgMaxRTX 509014.8116.8277.0OpenBenchmarking.orgWatts, Fewer Is Bettercl-mem 2017-01-13GPU Power Consumption Monitor70140210280350

cl-mem

GPU Temperature Monitor

MinAvgMaxRTX 509033.036.139.0OpenBenchmarking.orgCelsius, Fewer Is Bettercl-mem 2017-01-13GPU Temperature Monitor1122334455

cl-mem

GPU Power Consumption Monitor

MinAvgMaxRTX 509012.6116.6274.1OpenBenchmarking.orgWatts, Fewer Is Bettercl-mem 2017-01-13GPU Power Consumption Monitor70140210280350

clpeak

GPU Temperature Monitor

MinAvgMaxRTX 509034.036.948.0OpenBenchmarking.orgCelsius, Fewer Is Betterclpeak 1.1.2GPU Temperature Monitor1428425670

clpeak

GPU Power Consumption Monitor

MinAvgMaxRTX 509019.5107.9307.3OpenBenchmarking.orgWatts, Fewer Is Betterclpeak 1.1.2GPU Power Consumption Monitor80160240320400

clpeak

GPU Temperature Monitor

MinAvgMaxRTX 509035.037.651.0OpenBenchmarking.orgCelsius, Fewer Is Betterclpeak 1.1.2GPU Temperature Monitor1530456075

clpeak

GPU Power Consumption Monitor

MinAvgMaxRTX 509022.7108.0310.6OpenBenchmarking.orgWatts, Fewer Is Betterclpeak 1.1.2GPU Power Consumption Monitor80160240320400

clpeak

GPU Temperature Monitor

MinAvgMaxRTX 509033.038.842.0OpenBenchmarking.orgCelsius, Fewer Is Betterclpeak 1.1.2GPU Temperature Monitor1224364860

clpeak

GPU Power Consumption Monitor

MinAvgMaxRTX 509017.1139.1198.5OpenBenchmarking.orgWatts, Fewer Is Betterclpeak 1.1.2GPU Power Consumption Monitor50100150200250

clpeak

GPU Temperature Monitor

MinAvgMaxRTX 509034.036.845.0OpenBenchmarking.orgCelsius, Fewer Is Betterclpeak 1.1.2GPU Temperature Monitor1224364860

clpeak

GPU Power Consumption Monitor

MinAvgMaxRTX 509018.898.2266.3OpenBenchmarking.orgWatts, Fewer Is Betterclpeak 1.1.2GPU Power Consumption Monitor70140210280350

clpeak

GPU Temperature Monitor

MinAvgMaxRTX 509030.034.842.0OpenBenchmarking.orgCelsius, Fewer Is Betterclpeak 1.1.2GPU Temperature Monitor1224364860

clpeak

GPU Power Consumption Monitor

MinAvgMaxRTX 509017.392.9280.9OpenBenchmarking.orgWatts, Fewer Is Betterclpeak 1.1.2GPU Power Consumption Monitor70140210280350

SHOC Scalable HeterOgeneous Computing

GPU Temperature Monitor

MinAvgMaxRTX 509030.030.932.0OpenBenchmarking.orgCelsius, Fewer Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17GPU Temperature Monitor918273645

SHOC Scalable HeterOgeneous Computing

GPU Power Consumption Monitor

MinAvgMaxRTX 509013.845.270.8OpenBenchmarking.orgWatts, Fewer Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17GPU Power Consumption Monitor20406080100

SHOC Scalable HeterOgeneous Computing

GPU Temperature Monitor

MinAvgMaxRTX 509031.032.643.0OpenBenchmarking.orgCelsius, Fewer Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17GPU Temperature Monitor1224364860

SHOC Scalable HeterOgeneous Computing

GPU Power Consumption Monitor

MinAvgMaxRTX 509015.155.7138.0OpenBenchmarking.orgWatts, Fewer Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17GPU Power Consumption Monitor4080120160200

SHOC Scalable HeterOgeneous Computing

GPU Temperature Monitor

MinAvgMaxRTX 509033.034.238.0OpenBenchmarking.orgCelsius, Fewer Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17GPU Temperature Monitor1122334455

SHOC Scalable HeterOgeneous Computing

GPU Power Consumption Monitor

MinAvgMaxRTX 509016.970.3153.4OpenBenchmarking.orgWatts, Fewer Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17GPU Power Consumption Monitor4080120160200

SHOC Scalable HeterOgeneous Computing

GPU Temperature Monitor

MinAvgMaxRTX 509034.037.041.0OpenBenchmarking.orgCelsius, Fewer Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17GPU Temperature Monitor1122334455

SHOC Scalable HeterOgeneous Computing

GPU Power Consumption Monitor

MinAvgMaxRTX 509020.355.795.0OpenBenchmarking.orgWatts, Fewer Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17GPU Power Consumption Monitor20406080100

SHOC Scalable HeterOgeneous Computing

GPU Temperature Monitor

MinAvgMaxRTX 509040.045.651.0OpenBenchmarking.orgCelsius, Fewer Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17GPU Temperature Monitor1530456075

SHOC Scalable HeterOgeneous Computing

GPU Power Consumption Monitor

MinAvgMaxRTX 509021.0183.5316.5OpenBenchmarking.orgWatts, Fewer Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17GPU Power Consumption Monitor80160240320400

SHOC Scalable HeterOgeneous Computing

GPU Temperature Monitor

OpenBenchmarking.orgCelsius, Fewer Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17GPU Temperature MonitorRTX 50901326395265Min: 43 / Avg: 49.27 / Max: 67

SHOC Scalable HeterOgeneous Computing

GPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17GPU Power Consumption MonitorRTX 5090100200300400500Min: 23.24 / Avg: 196.48 / Max: 579.64

IndigoBench

GPU Temperature Monitor

MinAvgMaxRTX 509043.056.261.0OpenBenchmarking.orgCelsius, Fewer Is BetterIndigoBench 4.4GPU Temperature Monitor20406080100

IndigoBench

GPU Power Consumption Monitor

MinAvgMaxRTX 509021.6313.5372.2OpenBenchmarking.orgWatts, Fewer Is BetterIndigoBench 4.4GPU Power Consumption Monitor100200300400500

IndigoBench

GPU Temperature Monitor

MinAvgMaxRTX 509037.050.856.0OpenBenchmarking.orgCelsius, Fewer Is BetterIndigoBench 4.4GPU Temperature Monitor1632486480

IndigoBench

GPU Power Consumption Monitor

MinAvgMaxRTX 509021.5256.5298.5OpenBenchmarking.orgWatts, Fewer Is BetterIndigoBench 4.4GPU Power Consumption Monitor80160240320400

Chaos Group V-RAY

GPU Temperature Monitor

MinAvgMaxRTX 509039.054.864.0OpenBenchmarking.orgCelsius, Fewer Is BetterChaos Group V-RAY 6.0GPU Temperature Monitor20406080100

Chaos Group V-RAY

GPU Power Consumption Monitor

MinAvgMaxRTX 509018.4314.3439.4OpenBenchmarking.orgWatts, Fewer Is BetterChaos Group V-RAY 6.0GPU Power Consumption Monitor120240360480600

Chaos Group V-RAY

GPU Temperature Monitor

MinAvgMaxRTX 509036.046.753.0OpenBenchmarking.orgCelsius, Fewer Is BetterChaos Group V-RAY 6.0GPU Temperature Monitor1530456075

Chaos Group V-RAY

GPU Power Consumption Monitor

MinAvgMaxRTX 509013.5194.2283.4OpenBenchmarking.orgWatts, Fewer Is BetterChaos Group V-RAY 6.0GPU Power Consumption Monitor70140210280350

Blender

GPU Temperature Monitor

MinAvgMaxRTX 509041.045.451.0OpenBenchmarking.orgCelsius, Fewer Is BetterBlender 4.3GPU Temperature Monitor1530456075

Blender

GPU Power Consumption Monitor

MinAvgMaxRTX 509017.1178.6408.3OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.3GPU Power Consumption Monitor110220330440550

Blender

GPU Temperature Monitor

MinAvgMaxRTX 509045.049.255.0OpenBenchmarking.orgCelsius, Fewer Is BetterBlender 4.3GPU Temperature Monitor1530456075

Blender

GPU Power Consumption Monitor

MinAvgMaxRTX 509018.8189.4397.6OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.3GPU Power Consumption Monitor110220330440550

Blender

GPU Temperature Monitor

MinAvgMaxRTX 509046.056.062.0OpenBenchmarking.orgCelsius, Fewer Is BetterBlender 4.3GPU Temperature Monitor20406080100

Blender

GPU Power Consumption Monitor

MinAvgMaxRTX 509021.6314.9434.5OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.3GPU Power Consumption Monitor110220330440550

Blender

GPU Temperature Monitor

MinAvgMaxRTX 509042.055.964.0OpenBenchmarking.orgCelsius, Fewer Is BetterBlender 4.3GPU Temperature Monitor20406080100

Blender

GPU Power Consumption Monitor

MinAvgMaxRTX 509015.0327.8452.0OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.3GPU Power Consumption Monitor120240360480600

Blender

GPU Temperature Monitor

MinAvgMaxRTX 509044.051.257.0OpenBenchmarking.orgCelsius, Fewer Is BetterBlender 4.3GPU Temperature Monitor1632486480

Blender

GPU Power Consumption Monitor

MinAvgMaxRTX 509017.5263.0461.0OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.3GPU Power Consumption Monitor120240360480600

Blender

GPU Temperature Monitor

MinAvgMaxRTX 509040.053.561.0OpenBenchmarking.orgCelsius, Fewer Is BetterBlender 4.3GPU Temperature Monitor20406080100

Blender

GPU Power Consumption Monitor

MinAvgMaxRTX 509017.7328.6444.9OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.3GPU Power Consumption Monitor120240360480600

Blender

GPU Temperature Monitor

MinAvgMaxRTX 509041.046.955.0OpenBenchmarking.orgCelsius, Fewer Is BetterBlender 4.3GPU Temperature Monitor1530456075

Blender

GPU Power Consumption Monitor

MinAvgMaxRTX 509016.2196.8429.8OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.3GPU Power Consumption Monitor110220330440550

Blender

GPU Temperature Monitor

MinAvgMaxRTX 509042.048.856.0OpenBenchmarking.orgCelsius, Fewer Is BetterBlender 4.3GPU Temperature Monitor1632486480

Blender

GPU Power Consumption Monitor

MinAvgMaxRTX 509014.7219.4411.4OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.3GPU Power Consumption Monitor110220330440550

Blender

GPU Temperature Monitor

MinAvgMaxRTX 509042.049.056.0OpenBenchmarking.orgCelsius, Fewer Is BetterBlender 4.3GPU Temperature Monitor1632486480

Blender

GPU Power Consumption Monitor

MinAvgMaxRTX 509018.7243.6434.3OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.3GPU Power Consumption Monitor110220330440550

Blender

GPU Temperature Monitor

MinAvgMaxRTX 509037.047.956.0OpenBenchmarking.orgCelsius, Fewer Is BetterBlender 4.3GPU Temperature Monitor1632486480

Blender

GPU Power Consumption Monitor

MinAvgMaxRTX 509013.6274.0428.6OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.3GPU Power Consumption Monitor110220330440550

Blender

GPU Temperature Monitor

MinAvgMaxRTX 509038.042.247.0OpenBenchmarking.orgCelsius, Fewer Is BetterBlender 4.3GPU Temperature Monitor1428425670

Blender

GPU Power Consumption Monitor

MinAvgMaxRTX 509015.1158.5386.1OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.3GPU Power Consumption Monitor100200300400500

Blender

GPU Temperature Monitor

MinAvgMaxRTX 509030.036.352.0OpenBenchmarking.orgCelsius, Fewer Is BetterBlender 4.3GPU Temperature Monitor1530456075

Blender

GPU Power Consumption Monitor

MinAvgMaxRTX 50909.181.1407.8OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.3GPU Power Consumption Monitor110220330440550

Blender

Blend File: BMW27 - Compute: NVIDIA CUDA

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.3Blend File: BMW27 - Compute: NVIDIA CUDARTX 5090510152025SE +/- 15.68, N = 1220.32

Phoronix Test Suite v10.8.5