RTX 4070 SUPER

Intel Core i9-13900K testing with a ASUS TUF GAMING Z790-PRO WIFI (1401 BIOS) and ASUS NVIDIA GeForce RTX 4070 SUPER 12GB on EndeavourOS rolling via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2401264-NE-RTX4070SU09
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NVIDIA RTX 4070 SUPER
January 25
  27 Minutes
RTX 4070 SUPER
January 26
  5 Minutes
NVIDIA 4070 SUPER
January 26
  1 Hour, 27 Minutes
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RTX 4070 SUPEROpenBenchmarking.orgPhoronix Test SuiteIntel Core i9-13900K @ 5.50GHz (24 Cores / 32 Threads)ASUS TUF GAMING Z790-PRO WIFI (1401 BIOS)Intel Device 7a2732GB4001GB Seagate ZP4000GP304001ASUS NVIDIA GeForce RTX 4070 SUPER 12GBRealtek ALC1220ARZOPAIntel I226-V + Intel Device 7a70EndeavourOS rolling6.7.1-arch1-1 (x86_64)KDE Plasma 5.27.10X Server 1.21.1.11NVIDIA 550.40.074.6.0OpenCL 3.0 CUDA 12.4.74GCC 13.2.1 20230801GCC 13.2.1 20230801 + CUDA 12.3ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLCompilersFile-SystemScreen ResolutionRTX 4070 SUPER BenchmarksSystem Logs- Transparent Huge Pages: always- NVIDIA RTX 4070 SUPER, NVIDIA 4070 SUPER: --disable-libssp --disable-libstdcxx-pch --disable-werror --enable-__cxa_atexit --enable-bootstrap --enable-cet=auto --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-default-ssp --enable-gnu-indirect-function --enable-gnu-unique-object --enable-languages=ada,c,c++,d,fortran,go,lto,objc,obj-c++ --enable-libstdcxx-backtrace --enable-link-serialization=1 --enable-lto --enable-multilib --enable-plugin --enable-shared --enable-threads=posix --mandir=/usr/share/man --with-build-config=bootstrap-lto --with-linker-hash-style=gnu - Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x11d - NVIDIA RTX 4070 SUPER, NVIDIA 4070 SUPER: BAR1 / Visible vRAM Size: 16384 MiB - vBIOS Version: 95.04.69.00.c1 - gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: 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: SW sequence + srbds: Not affected + tsx_async_abort: Not affected - RTX 4070 SUPER, NVIDIA 4070 SUPER: Python 3.11.6- NVIDIA 4070 SUPER: NVCC_PREPEND_FLAGS="-ccbin /opt/cuda/bin"

RTX 4070 SUPERopencl-benchmark: Memory Bandwidth Coalesced Writeopencl-benchmark: INT8 Computeopencl-benchmark: Memory Bandwidth Coalesced Readopencl-benchmark: INT16 Computeopencl-benchmark: INT32 Computeopencl-benchmark: INT64 Computepytorch: NVIDIA CUDA GPU - 1 - ResNet-152pytorch: NVIDIA CUDA GPU - 16 - ResNet-50pytorch: NVIDIA CUDA GPU - 64 - ResNet-50pytorch: NVIDIA CUDA GPU - 512 - ResNet-50gpuowl: 332220523gpuowl: 57885161gpuowl: 77936867pytorch: NVIDIA CUDA GPU - 32 - ResNet-152pytorch: NVIDIA CUDA GPU - 256 - ResNet-152pytorch: NVIDIA CUDA GPU - 1 - Efficientnet_v2_lpytorch: NVIDIA CUDA GPU - 32 - Efficientnet_v2_lpytorch: NVIDIA CUDA GPU - 256 - Efficientnet_v2_lpytorch: NVIDIA CUDA GPU - 512 - Efficientnet_v2_lrodinia: OpenCL Particle Filterblender: BMW27 - NVIDIA OptiXblender: Classroom - NVIDIA OptiXblender: Fishy Cat - NVIDIA OptiXblender: Barbershop - NVIDIA OptiXblender: Pabellon Barcelona - NVIDIA OptiXneatbench: GPUindigobench: OpenCL GPU - Bedroomindigobench: OpenCL GPU - Supercarluxcorerender: DLSC - GPUluxcorerender: Danish Mood - GPUopencl-benchmark: FP32 Computeluxcorerender: Orange Juice - GPUluxcorerender: LuxCore Benchmark - GPUluxcorerender: Rainbow Colors and Prism - GPUfahbench: hashcat: MD5hashcat: SHA1hashcat: 7-Ziphashcat: SHA-512hashcat: TrueCrypt RIPEMD160 + XTSnamd-cuda: ATPase Simulation - 327,506 Atomsoctanebench: Total Scorefinancebench: Black-Scholes OpenCLcl-mem: Copycl-mem: Readcl-mem: Writeclpeak: Integer Compute INTclpeak: Single-Precision Floatclpeak: Double-Precision Doubleclpeak: Global Memory Bandwidthmandelgpu: GPUopencl-benchmark: FP64 Computeviennacl: CPU BLAS - sCOPYviennacl: CPU BLAS - sAXPYviennacl: CPU BLAS - sDOTviennacl: CPU BLAS - dCOPYviennacl: CPU BLAS - dAXPYviennacl: CPU BLAS - dDOTviennacl: CPU BLAS - dGEMV-Nviennacl: CPU BLAS - dGEMV-Tviennacl: CPU BLAS - dGEMM-NNviennacl: CPU BLAS - dGEMM-NTviennacl: CPU BLAS - dGEMM-TNviennacl: CPU BLAS - dGEMM-TTviennacl: OpenCL BLAS - sCOPYviennacl: OpenCL BLAS - sAXPYviennacl: OpenCL BLAS - sDOTviennacl: OpenCL BLAS - dCOPYviennacl: OpenCL BLAS - dAXPYviennacl: OpenCL BLAS - dDOTviennacl: OpenCL BLAS - dGEMV-Nviennacl: OpenCL BLAS - dGEMV-Tviennacl: OpenCL BLAS - dGEMM-NNviennacl: OpenCL BLAS - dGEMM-NTviennacl: OpenCL BLAS - dGEMM-TNviennacl: OpenCL BLAS - dGEMM-TTrealsr-ncnn: 4x - Norealsr-ncnn: 4x - Yesvkresample: 2x - Doublevkresample: 2x - Singlewaifu2x-ncnn: 2x - 3 - YesNVIDIA RTX 4070 SUPERRTX 4070 SUPERNVIDIA 4070 SUPER455.0114.307464.8617.17019.8894.214137.44869.07646.4138.5940.621201.94509.45507.45504.27195.39194.58106.37102.60103.17103.573.4805.5712.609.4551.3014.29407019.80152.81313.5910.5611.7212.8227.67366.05766758303333322132600000117646732327333338029670.06791720.9737895.912331.8446.2407.518170.5435492.69630.11437.65587219538.213215616570.887.296.81021091191171151223343923704234374582103895775845996136.32334.885339.59318.4892.855OpenBenchmarking.org

Betsy GPU Compressor

Betsy is an open-source GPU compressor of various GPU compression techniques. Betsy is written in GLSL for Vulkan/OpenGL (compute shader) support for GPU-based texture compression. Learn more via the OpenBenchmarking.org test page.

Codec: ETC2 RGB - Quality: Highest

NVIDIA 4070 SUPER: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: betsy: line 3: ./betsy: No such file or directory

PlaidML

This test profile uses PlaidML deep learning framework developed by Intel for offering up various benchmarks. Learn more via the OpenBenchmarking.org test page.

FP16: No - Mode: Training - Network: Mobilenet - Device: OpenCL

NVIDIA 4070 SUPER: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: plaidml: line 24: /.local/bin/plaidbench: No such file or directory

FP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCL

NVIDIA 4070 SUPER: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: plaidml: line 24: /.local/bin/plaidbench: No such file or directory

FP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCL

NVIDIA 4070 SUPER: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: plaidml: line 24: /.local/bin/plaidbench: No such file or directory

ProjectPhysX OpenCL-Benchmark

ProjectPhysX OpenCL-Benchmark provides various OpenCL compute and memory bandwidth micro-benchmarks Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is BetterProjectPhysX OpenCL-Benchmark 1.2Operation: Memory Bandwidth Coalesced WriteNVIDIA RTX 4070 SUPER100200300400500SE +/- 0.14, N = 3455.011. (CXX) g++ options: -std=c++17 -pthread -lOpenCL

PlaidML

This test profile uses PlaidML deep learning framework developed by Intel for offering up various benchmarks. Learn more via the OpenBenchmarking.org test page.

FP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCL

NVIDIA 4070 SUPER: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: plaidml: line 24: /.local/bin/plaidbench: No such file or directory

ProjectPhysX OpenCL-Benchmark

ProjectPhysX OpenCL-Benchmark provides various OpenCL compute and memory bandwidth micro-benchmarks Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTIOPs/s, More Is BetterProjectPhysX OpenCL-Benchmark 1.2Operation: INT8 ComputeNVIDIA RTX 4070 SUPER48121620SE +/- 0.05, N = 314.311. (CXX) g++ options: -std=c++17 -pthread -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterProjectPhysX OpenCL-Benchmark 1.2Operation: Memory Bandwidth Coalesced ReadNVIDIA RTX 4070 SUPER100200300400500SE +/- 0.01, N = 3464.861. (CXX) g++ options: -std=c++17 -pthread -lOpenCL

OpenBenchmarking.orgTIOPs/s, More Is BetterProjectPhysX OpenCL-Benchmark 1.2Operation: INT16 ComputeNVIDIA RTX 4070 SUPER48121620SE +/- 0.00, N = 317.171. (CXX) g++ options: -std=c++17 -pthread -lOpenCL

OpenBenchmarking.orgTIOPs/s, More Is BetterProjectPhysX OpenCL-Benchmark 1.2Operation: INT32 ComputeNVIDIA RTX 4070 SUPER510152025SE +/- 0.00, N = 319.891. (CXX) g++ options: -std=c++17 -pthread -lOpenCL

OpenBenchmarking.orgTIOPs/s, More Is BetterProjectPhysX OpenCL-Benchmark 1.2Operation: INT64 ComputeNVIDIA RTX 4070 SUPER0.94821.89642.84463.79284.741SE +/- 0.015, N = 34.2141. (CXX) g++ options: -std=c++17 -pthread -lOpenCL

Betsy GPU Compressor

Betsy is an open-source GPU compressor of various GPU compression techniques. Betsy is written in GLSL for Vulkan/OpenGL (compute shader) support for GPU-based texture compression. Learn more via the OpenBenchmarking.org test page.

Codec: ETC1 - Quality: Highest

NVIDIA 4070 SUPER: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: betsy: line 3: ./betsy: No such file or directory

PlaidML

This test profile uses PlaidML deep learning framework developed by Intel for offering up various benchmarks. Learn more via the OpenBenchmarking.org test page.

FP16: No - Mode: Inference - Network: DenseNet 201 - Device: OpenCL

NVIDIA 4070 SUPER: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: plaidml: line 24: /.local/bin/plaidbench: No such file or directory

LeelaChessZero

LeelaChessZero (lc0 / lczero) is a chess engine automated vian neural networks. This test profile can be used for OpenCL, CUDA + cuDNN, and BLAS (CPU-based) benchmarking. Learn more via the OpenBenchmarking.org test page.

Backend: OpenCL

NVIDIA 4070 SUPER: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: lczero: line 4: ./lc0: No such file or directory

PyTorch

This is a benchmark of PyTorch making use of pytorch-benchmark [https://github.com/LukasHedegaard/pytorch-benchmark]. Currently this test profile is catered to CPU-based testing. Learn more via the OpenBenchmarking.org test page.

Device: NVIDIA CUDA GPU - Batch Size: 1 - Model: ResNet-50

NVIDIA RTX 4070 SUPER: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'torch.library'

RTX 4070 SUPER: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: TypeError: 'NoneType' object is not callable

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: NVIDIA CUDA GPU - Batch Size: 1 - Model: ResNet-152RTX 4070 SUPER4080120160200201.94MIN: 183.53 / MAX: 206.5

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: NVIDIA CUDA GPU - Batch Size: 16 - Model: ResNet-50RTX 4070 SUPER110220330440550509.45MIN: 430.1 / MAX: 516.48

Device: NVIDIA CUDA GPU - Batch Size: 32 - Model: ResNet-50

RTX 4070 SUPER: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: UnboundLocalError: cannot access local variable 'aa' where it is not associated with a value

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: NVIDIA CUDA GPU - Batch Size: 64 - Model: ResNet-50RTX 4070 SUPER110220330440550SE +/- 0.92, N = 3507.45MIN: 423.41 / MAX: 512.88

Device: NVIDIA CUDA GPU - Batch Size: 16 - Model: ResNet-152

RTX 4070 SUPER: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: AttributeError: 'list_iterator' object has no attribute 'kind'

Device: NVIDIA CUDA GPU - Batch Size: 256 - Model: ResNet-50

RTX 4070 SUPER: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: TypeError: 'NoneType' object is not callable

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: NVIDIA CUDA GPU - Batch Size: 512 - Model: ResNet-50RTX 4070 SUPER110220330440550SE +/- 4.43, N = 2504.27MIN: 418.22 / MAX: 512.44

Device: NVIDIA CUDA GPU - Batch Size: 64 - Model: ResNet-152

RTX 4070 SUPER: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: UnboundLocalError: cannot access local variable 'aa' where it is not associated with a value

GpuOwl

GpuOwl is a Mersenne primality tester leveraging OpenCL for cross-vendor GPU acceleration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations / Second, More Is BetterGpuOwl 7.2.1Exponent: 332220523NVIDIA RTX 4070 SUPER306090120150SE +/- 0.00, N = 3137.44

OpenBenchmarking.orgIterations / Second, More Is BetterGpuOwl 7.2.1Exponent: 57885161NVIDIA RTX 4070 SUPER2004006008001000SE +/- 1.26, N = 3869.07

OpenBenchmarking.orgIterations / Second, More Is BetterGpuOwl 7.2.1Exponent: 77936867NVIDIA RTX 4070 SUPER140280420560700SE +/- 0.00, N = 3646.41

PyTorch

This is a benchmark of PyTorch making use of pytorch-benchmark [https://github.com/LukasHedegaard/pytorch-benchmark]. Currently this test profile is catered to CPU-based testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: NVIDIA CUDA GPU - Batch Size: 32 - Model: ResNet-152RTX 4070 SUPER4080120160200195.39MIN: 183.94 / MAX: 198.7

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: NVIDIA CUDA GPU - Batch Size: 256 - Model: ResNet-152RTX 4070 SUPER4080120160200SE +/- 1.14, N = 2194.58MIN: 183.74 / MAX: 198.52

Device: NVIDIA CUDA GPU - Batch Size: 512 - Model: ResNet-152

RTX 4070 SUPER: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status.

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: NVIDIA CUDA GPU - Batch Size: 1 - Model: Efficientnet_v2_lRTX 4070 SUPER20406080100106.37MIN: 97.91 / MAX: 108.16

Device: NVIDIA CUDA GPU - Batch Size: 16 - Model: Efficientnet_v2_l

RTX 4070 SUPER: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status.

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: NVIDIA CUDA GPU - Batch Size: 32 - Model: Efficientnet_v2_lRTX 4070 SUPER20406080100102.60MIN: 94.84 / MAX: 104.25

Device: NVIDIA CUDA GPU - Batch Size: 64 - Model: Efficientnet_v2_l

RTX 4070 SUPER: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status.

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: NVIDIA CUDA GPU - Batch Size: 256 - Model: Efficientnet_v2_lRTX 4070 SUPER20406080100103.17MIN: 95.79 / MAX: 105.15

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: NVIDIA CUDA GPU - Batch Size: 512 - Model: Efficientnet_v2_lRTX 4070 SUPER20406080100103.57MIN: 95.95 / MAX: 105.54

Caffe

This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.

Model: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 100

NVIDIA 4070 SUPER: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: caffe: line 3: ./tools/caffe: No such file or directory

Model: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 200

NVIDIA 4070 SUPER: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: caffe: line 3: ./tools/caffe: No such file or directory

Model: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 1000

NVIDIA 4070 SUPER: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: caffe: line 3: ./tools/caffe: No such file or directory

Model: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 100

NVIDIA 4070 SUPER: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: caffe: line 3: ./tools/caffe: No such file or directory

Model: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 200

NVIDIA 4070 SUPER: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: caffe: line 3: ./tools/caffe: No such file or directory

Model: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 1000

NVIDIA 4070 SUPER: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: caffe: line 3: ./tools/caffe: No such file or directory

SHOC Scalable HeterOgeneous Computing

The CUDA and OpenCL version of Vetter's Scalable HeterOgeneous Computing benchmark suite. SHOC provides a number of different benchmark programs for evaluating the performance and stability of compute devices. Learn more via the OpenBenchmarking.org test page.

Target: OpenCL - Benchmark: S3D

NVIDIA 4070 SUPER: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: shoc: line 3: ./bin/shocdriver: No such file or directory

Target: OpenCL - Benchmark: Triad

NVIDIA 4070 SUPER: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: shoc: line 3: ./bin/shocdriver: No such file or directory

Target: OpenCL - Benchmark: FFT SP

NVIDIA 4070 SUPER: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: shoc: line 3: ./bin/shocdriver: No such file or directory

Target: OpenCL - Benchmark: MD5 Hash

NVIDIA 4070 SUPER: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: shoc: line 3: ./bin/shocdriver: No such file or directory

Target: OpenCL - Benchmark: Reduction

NVIDIA 4070 SUPER: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: shoc: line 3: ./bin/shocdriver: No such file or directory

Target: OpenCL - Benchmark: GEMM SGEMM_N

NVIDIA 4070 SUPER: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: shoc: line 3: ./bin/shocdriver: No such file or directory

Target: OpenCL - Benchmark: Max SP Flops

NVIDIA 4070 SUPER: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: shoc: line 3: ./bin/shocdriver: No such file or directory

Target: OpenCL - Benchmark: Bus Speed Download

NVIDIA 4070 SUPER: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: shoc: line 3: ./bin/shocdriver: No such file or directory

Target: OpenCL - Benchmark: Bus Speed Readback

NVIDIA 4070 SUPER: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: shoc: line 3: ./bin/shocdriver: No such file or directory

Target: OpenCL - Benchmark: Texture Read Bandwidth

NVIDIA 4070 SUPER: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: shoc: line 3: ./bin/shocdriver: No such file or directory

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

Target: Vulkan GPU

NVIDIA 4070 SUPER: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ncnn: line 3: ./benchncnn: No such file or directory

GROMACS

The GROMACS (GROningen MAchine for Chemical Simulations) molecular dynamics package testing with the water_GMX50 data. This test profile allows selecting between CPU and GPU-based GROMACS builds. Learn more via the OpenBenchmarking.org test page.

Implementation: NVIDIA CUDA GPU - Input: water_GMX50_bare

NVIDIA 4070 SUPER: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: /cuda-build/run-gromacs: line 3: /cuda-build/bin/gmx: No such file or directory

Rodinia

Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenCL Particle FilterNVIDIA 4070 SUPER0.7831.5662.3493.1323.915SE +/- 0.039, N = 43.4801. (CXX) g++ options: -O2 -lOpenCL

ArrayFire

ArrayFire is an GPU and CPU numeric processing library, this test uses the built-in CPU and OpenCL ArrayFire benchmarks. Learn more via the OpenBenchmarking.org test page.

Test: Conjugate Gradient OpenCL

NVIDIA 4070 SUPER: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result. E: arrayfire: line 3: ./cg_opencl: No such file or directory

Blender

Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles performance with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported as well as HIP for AMD Radeon GPUs and Intel oneAPI for Intel Graphics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: BMW27 - Compute: NVIDIA OptiXNVIDIA 4070 SUPER1.25332.50663.75995.01326.2665SE +/- 0.06, N = 135.57

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: Classroom - Compute: NVIDIA OptiXNVIDIA 4070 SUPER3691215SE +/- 0.00, N = 312.60

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: Fishy Cat - Compute: NVIDIA OptiXNVIDIA 4070 SUPER3691215SE +/- 0.06, N = 139.45

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: Barbershop - Compute: NVIDIA OptiXNVIDIA 4070 SUPER1224364860SE +/- 0.10, N = 351.30

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: Pabellon Barcelona - Compute: NVIDIA OptiXNVIDIA 4070 SUPER48121620SE +/- 0.03, N = 314.29

NeatBench

NeatBench is a benchmark of the cross-platform Neat Video software on the CPU and optional GPU (OpenCL / CUDA) support. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterNeatBench 5Acceleration: GPUNVIDIA 4070 SUPER9001800270036004500SE +/- 0.00, N = 34070

IndigoBench

This is a test of Indigo Renderer's IndigoBench benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: OpenCL GPU - Scene: BedroomNVIDIA 4070 SUPER510152025SE +/- 0.01, N = 319.80

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: OpenCL GPU - Scene: SupercarNVIDIA 4070 SUPER1224364860SE +/- 0.03, N = 352.81

LuxCoreRender

LuxCoreRender is an open-source 3D physically based renderer formerly known as LuxRender. LuxCoreRender supports CPU-based rendering as well as GPU acceleration via OpenCL, NVIDIA CUDA, and NVIDIA OptiX interfaces. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: DLSC - Acceleration: GPUNVIDIA 4070 SUPER3691215SE +/- 0.01, N = 313.59MIN: 12.52 / MAX: 13.84

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Danish Mood - Acceleration: GPUNVIDIA 4070 SUPER3691215SE +/- 0.08, N = 310.56MIN: 3.7 / MAX: 12.17

ProjectPhysX OpenCL-Benchmark

ProjectPhysX OpenCL-Benchmark provides various OpenCL compute and memory bandwidth micro-benchmarks Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTFLOPs/s, More Is BetterProjectPhysX OpenCL-Benchmark 1.2Operation: FP32 ComputeNVIDIA RTX 4070 SUPER918273645SE +/- 0.03, N = 338.591. (CXX) g++ options: -std=c++17 -pthread -lOpenCL

LuxCoreRender

LuxCoreRender is an open-source 3D physically based renderer formerly known as LuxRender. LuxCoreRender supports CPU-based rendering as well as GPU acceleration via OpenCL, NVIDIA CUDA, and NVIDIA OptiX interfaces. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Orange Juice - Acceleration: GPUNVIDIA 4070 SUPER3691215SE +/- 0.07, N = 311.72MIN: 9.6 / MAX: 15.44

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: LuxCore Benchmark - Acceleration: GPUNVIDIA 4070 SUPER3691215SE +/- 0.02, N = 312.82MIN: 4.84 / MAX: 14.62

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Rainbow Colors and Prism - Acceleration: GPUNVIDIA 4070 SUPER714212835SE +/- 0.03, N = 327.67MIN: 24.87 / MAX: 29.03

FAHBench

FAHBench is a Folding@Home benchmark on the GPU. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNs Per Day, More Is BetterFAHBench 2.3.2NVIDIA 4070 SUPER80160240320400SE +/- 0.39, N = 3366.06

Hashcat

Hashcat is an open-source, advanced password recovery tool supporting GPU acceleration with OpenCL, NVIDIA CUDA, and Radeon ROCm. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: MD5NVIDIA 4070 SUPER14000M28000M42000M56000M70000MSE +/- 22430807.19, N = 367583033333

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: SHA1NVIDIA 4070 SUPER5000M10000M15000M20000M25000MSE +/- 5140363.15, N = 322132600000

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: 7-ZipNVIDIA 4070 SUPER300K600K900K1200K1500KSE +/- 1991.93, N = 31176467

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: SHA-512NVIDIA 4070 SUPER700M1400M2100M2800M3500MSE +/- 1530068.99, N = 33232733333

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: TrueCrypt RIPEMD160 + XTSNVIDIA 4070 SUPER200K400K600K800K1000KSE +/- 633.33, N = 3802967

Mixbench

A benchmark suite for GPUs on mixed operational intensity kernels. Learn more via the OpenBenchmarking.org test page.

Backend: OpenCL - Benchmark: Integer

NVIDIA 4070 SUPER: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: mixbench: line 3: ./mixbench-ocl-ro: No such file or directory

Backend: NVIDIA CUDA - Benchmark: Integer

NVIDIA 4070 SUPER: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: mixbench: line 3: ./mixbench-cuda-ro: No such file or directory

Backend: OpenCL - Benchmark: Double Precision

NVIDIA 4070 SUPER: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: mixbench: line 3: ./mixbench-ocl-ro: No such file or directory

Backend: OpenCL - Benchmark: Single Precision

NVIDIA 4070 SUPER: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: mixbench: line 3: ./mixbench-ocl-ro: No such file or directory

Backend: NVIDIA CUDA - Benchmark: Half Precision

NVIDIA 4070 SUPER: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: mixbench: line 3: ./mixbench-cuda-ro: No such file or directory

Backend: NVIDIA CUDA - Benchmark: Double Precision

NVIDIA 4070 SUPER: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: mixbench: line 3: ./mixbench-cuda-ro: No such file or directory

Backend: NVIDIA CUDA - Benchmark: Single Precision

NVIDIA 4070 SUPER: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: mixbench: line 3: ./mixbench-cuda-ro: No such file or directory

NAMD CUDA

NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD was developed by the Theoretical and Computational Biophysics Group in the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign. This version of the NAMD test profile uses CUDA GPU acceleration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD CUDA 2.14ATPase Simulation - 327,506 AtomsNVIDIA 4070 SUPER0.01530.03060.04590.06120.0765SE +/- 0.00031, N = 30.06791

OctaneBench

OctaneBench is a test of the OctaneRender on the GPU and requires the use of NVIDIA CUDA. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterOctaneBench 2020.1Total ScoreNVIDIA 4070 SUPER160320480640800720.97

FinanceBench

FinanceBench is a collection of financial program benchmarks with support for benchmarking on the GPU via OpenCL and CPU benchmarking with OpenMP. The FinanceBench test cases are focused on Black-Sholes-Merton Process with Analytic European Option engine, QMC (Sobol) Monte-Carlo method (Equity Option Example), Bonds Fixed-rate bond with flat forward curve, and Repo Securities repurchase agreement. FinanceBench was originally written by the Cavazos Lab at University of Delaware. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterFinanceBench 2016-07-25Benchmark: Black-Scholes OpenCLNVIDIA 4070 SUPER1.33022.66043.99065.32086.651SE +/- 0.114, N = 155.9121. (CXX) g++ options: -O3 -march=native -fopenmp

cl-mem

A basic OpenCL memory benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: CopyNVIDIA 4070 SUPER70140210280350SE +/- 0.03, N = 3331.81. (CC) gcc options: -O2 -flto -lOpenCL

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: ReadNVIDIA 4070 SUPER100200300400500SE +/- 0.12, N = 3446.21. (CC) gcc options: -O2 -flto -lOpenCL

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: WriteNVIDIA 4070 SUPER90180270360450SE +/- 1.11, N = 3407.51. (CC) gcc options: -O2 -flto -lOpenCL

clpeak

Clpeak is designed to test the peak capabilities of OpenCL devices. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGIOPS, More Is Betterclpeak 1.1.2OpenCL Test: Integer Compute INTNVIDIA 4070 SUPER4K8K12K16K20KSE +/- 3.14, N = 318170.541. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOPS, More Is Betterclpeak 1.1.2OpenCL Test: Single-Precision FloatNVIDIA 4070 SUPER8K16K24K32K40KSE +/- 0.99, N = 335492.691. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOPS, More Is Betterclpeak 1.1.2OpenCL Test: Double-Precision DoubleNVIDIA 4070 SUPER140280420560700SE +/- 0.98, N = 3630.111. (CXX) g++ options: -O3

OpenBenchmarking.orgGBPS, More Is Betterclpeak 1.1.2OpenCL Test: Global Memory BandwidthNVIDIA 4070 SUPER90180270360450SE +/- 0.02, N = 3437.651. (CXX) g++ options: -O3

MandelGPU

MandelGPU is an OpenCL benchmark and this test runs with the OpenCL rendering float4 kernel with a maximum of 4096 iterations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSamples/sec, More Is BetterMandelGPU 1.3pts1OpenCL Device: GPUNVIDIA 4070 SUPER130M260M390M520M650MSE +/- 467034.80, N = 3587219538.21. (CC) gcc options: -O3 -lm -ftree-vectorize -funroll-loops -lglut -lOpenCL -lGL

ProjectPhysX OpenCL-Benchmark

ProjectPhysX OpenCL-Benchmark provides various OpenCL compute and memory bandwidth micro-benchmarks Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTFLOPs/s, More Is BetterProjectPhysX OpenCL-Benchmark 1.2Operation: FP64 ComputeNVIDIA RTX 4070 SUPER0.13970.27940.41910.55880.6985SE +/- 0.000, N = 30.6211. (CXX) g++ options: -std=c++17 -pthread -lOpenCL

ViennaCL

ViennaCL is an open-source linear algebra library written in C++ and with support for OpenCL and OpenMP. This test profile makes use of ViennaCL's built-in benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - sCOPYNVIDIA 4070 SUPER306090120150SE +/- 1.20, N = 31321. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - sAXPYNVIDIA 4070 SUPER306090120150SE +/- 2.19, N = 31561. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - sDOTNVIDIA 4070 SUPER4080120160200SE +/- 2.73, N = 31651. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dCOPYNVIDIA 4070 SUPER1632486480SE +/- 0.32, N = 370.81. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dAXPYNVIDIA 4070 SUPER20406080100SE +/- 0.12, N = 387.21. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dDOTNVIDIA 4070 SUPER20406080100SE +/- 0.09, N = 396.81. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMV-NNVIDIA 4070 SUPER20406080100SE +/- 0.33, N = 31021. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMV-TNVIDIA 4070 SUPER20406080100SE +/- 0.33, N = 31091. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-NNNVIDIA 4070 SUPER306090120150SE +/- 4.04, N = 31191. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-NTNVIDIA 4070 SUPER306090120150SE +/- 2.08, N = 31171. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-TNNVIDIA 4070 SUPER306090120150SE +/- 1.00, N = 21151. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-TTNVIDIA 4070 SUPER306090120150SE +/- 2.08, N = 31221. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - sCOPYNVIDIA 4070 SUPER70140210280350SE +/- 0.33, N = 33341. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - sAXPYNVIDIA 4070 SUPER90180270360450SE +/- 0.00, N = 33921. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - sDOTNVIDIA 4070 SUPER80160240320400SE +/- 0.00, N = 33701. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dCOPYNVIDIA 4070 SUPER90180270360450SE +/- 0.33, N = 34231. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dAXPYNVIDIA 4070 SUPER90180270360450SE +/- 0.00, N = 34371. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dDOTNVIDIA 4070 SUPER100200300400500SE +/- 0.00, N = 34581. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMV-NNVIDIA 4070 SUPER50100150200250SE +/- 0.33, N = 32101. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMV-TNVIDIA 4070 SUPER80160240320400SE +/- 0.00, N = 33891. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMM-NNNVIDIA 4070 SUPER120240360480600SE +/- 0.00, N = 35771. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMM-NTNVIDIA 4070 SUPER130260390520650SE +/- 0.00, N = 35841. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMM-TNNVIDIA 4070 SUPER130260390520650SE +/- 0.00, N = 35991. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMM-TTNVIDIA 4070 SUPER130260390520650SE +/- 0.00, N = 36131. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

Libplacebo

Libplacebo is a multimedia rendering library based on the core rendering code of the MPV player. The libplacebo benchmark relies on the Vulkan API and tests various primitives. Learn more via the OpenBenchmarking.org test page.

NVIDIA 4070 SUPER: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: libplacebo: line 3: ./src/bench: No such file or directory

RealSR-NCNN

RealSR-NCNN is an NCNN neural network implementation of the RealSR project and accelerated using the Vulkan API. RealSR is the Real-World Super Resolution via Kernel Estimation and Noise Injection. NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. This test profile times how long it takes to increase the resolution of a sample image by a scale of 4x with Vulkan. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: NoNVIDIA 4070 SUPER246810SE +/- 0.150, N = 156.323

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: YesNVIDIA 4070 SUPER816243240SE +/- 0.02, N = 334.89

VkFFT

Test: FFT + iFFT R2C / C2R

NVIDIA 4070 SUPER: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: vkfft: line 3: ./Vulkan_FFT: No such file or directory

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

NVIDIA 4070 SUPER: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: vkfft: line 3: ./Vulkan_FFT: No such file or directory

Test: FFT + iFFT C2C Bluestein in single precision

NVIDIA 4070 SUPER: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: vkfft: line 3: ./Vulkan_FFT: No such file or directory

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

NVIDIA 4070 SUPER: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: vkfft: line 3: ./Vulkan_FFT: No such file or directory

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

NVIDIA 4070 SUPER: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: vkfft: line 3: ./Vulkan_FFT: No such file or directory

Test: FFT + iFFT C2C multidimensional in single precision

NVIDIA 4070 SUPER: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: vkfft: line 3: ./Vulkan_FFT: No such file or directory

Test: FFT + iFFT C2C Bluestein benchmark in double precision

NVIDIA 4070 SUPER: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: vkfft: line 3: ./Vulkan_FFT: No such file or directory

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

NVIDIA 4070 SUPER: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: vkfft: line 3: ./Vulkan_FFT: No such file or directory

vkpeak

Vkpeak is a Vulkan compute benchmark inspired by OpenCL's clpeak. Vkpeak provides Vulkan compute performance measurements for FP16 / FP32 / FP64 / INT16 / INT32 scalar and vec4 performance. Learn more via the OpenBenchmarking.org test page.

NVIDIA 4070 SUPER: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status.

VkResample

VkResample is a Vulkan-based image upscaling library based on VkFFT. The sample input file is upscaling a 4K image to 8K using Vulkan-based GPU acceleration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterVkResample 1.0Upscale: 2x - Precision: DoubleNVIDIA 4070 SUPER70140210280350SE +/- 0.30, N = 3339.591. (CXX) g++ options: -O3

OpenBenchmarking.orgms, Fewer Is BetterVkResample 1.0Upscale: 2x - Precision: SingleNVIDIA 4070 SUPER510152025SE +/- 0.00, N = 318.491. (CXX) g++ options: -O3

Waifu2x-NCNN Vulkan

Waifu2x-NCNN is an NCNN neural network implementation of the Waifu2x converter project and accelerated using the Vulkan API. NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. This test profile times how long it takes to increase the resolution of a sample image with Vulkan. Learn more via the OpenBenchmarking.org test page.

Scale: 2x - Denoise: 3 - TAA: No

NVIDIA 4070 SUPER: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

OpenBenchmarking.orgSeconds, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818Scale: 2x - Denoise: 3 - TAA: YesNVIDIA 4070 SUPER0.64241.28481.92722.56963.212SE +/- 0.014, N = 32.855

81 Results Shown

ProjectPhysX OpenCL-Benchmark:
  Memory Bandwidth Coalesced Write
  INT8 Compute
  Memory Bandwidth Coalesced Read
  INT16 Compute
  INT32 Compute
  INT64 Compute
PyTorch:
  NVIDIA CUDA GPU - 1 - ResNet-152
  NVIDIA CUDA GPU - 16 - ResNet-50
  NVIDIA CUDA GPU - 64 - ResNet-50
  NVIDIA CUDA GPU - 512 - ResNet-50
GpuOwl:
  332220523
  57885161
  77936867
PyTorch:
  NVIDIA CUDA GPU - 32 - ResNet-152
  NVIDIA CUDA GPU - 256 - ResNet-152
  NVIDIA CUDA GPU - 1 - Efficientnet_v2_l
  NVIDIA CUDA GPU - 32 - Efficientnet_v2_l
  NVIDIA CUDA GPU - 256 - Efficientnet_v2_l
  NVIDIA CUDA GPU - 512 - Efficientnet_v2_l
Rodinia
Blender:
  BMW27 - NVIDIA OptiX
  Classroom - NVIDIA OptiX
  Fishy Cat - NVIDIA OptiX
  Barbershop - NVIDIA OptiX
  Pabellon Barcelona - NVIDIA OptiX
NeatBench
IndigoBench:
  OpenCL GPU - Bedroom
  OpenCL GPU - Supercar
LuxCoreRender:
  DLSC - GPU
  Danish Mood - GPU
ProjectPhysX OpenCL-Benchmark
LuxCoreRender:
  Orange Juice - GPU
  LuxCore Benchmark - GPU
  Rainbow Colors and Prism - GPU
FAHBench
Hashcat:
  MD5
  SHA1
  7-Zip
  SHA-512
  TrueCrypt RIPEMD160 + XTS
NAMD CUDA
OctaneBench
FinanceBench
cl-mem:
  Copy
  Read
  Write
clpeak:
  Integer Compute INT
  Single-Precision Float
  Double-Precision Double
  Global Memory Bandwidth
MandelGPU
ProjectPhysX OpenCL-Benchmark
ViennaCL:
  CPU BLAS - sCOPY
  CPU BLAS - sAXPY
  CPU BLAS - sDOT
  CPU BLAS - dCOPY
  CPU BLAS - dAXPY
  CPU BLAS - dDOT
  CPU BLAS - dGEMV-N
  CPU BLAS - dGEMV-T
  CPU BLAS - dGEMM-NN
  CPU BLAS - dGEMM-NT
  CPU BLAS - dGEMM-TN
  CPU BLAS - dGEMM-TT
  OpenCL BLAS - sCOPY
  OpenCL BLAS - sAXPY
  OpenCL BLAS - sDOT
  OpenCL BLAS - dCOPY
  OpenCL BLAS - dAXPY
  OpenCL BLAS - dDOT
  OpenCL BLAS - dGEMV-N
  OpenCL BLAS - dGEMV-T
  OpenCL BLAS - dGEMM-NN
  OpenCL BLAS - dGEMM-NT
  OpenCL BLAS - dGEMM-TN
  OpenCL BLAS - dGEMM-TT
RealSR-NCNN:
  4x - No
  4x - Yes
VkResample:
  2x - Double
  2x - Single
Waifu2x-NCNN Vulkan