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.
HTML result view exported from: https://openbenchmarking.org/result/2401272-NE-RTX4070SU26&grr .
RTX 4070 SUPER Processor Motherboard Chipset Memory Disk Graphics Audio Monitor Network OS Kernel Desktop Display Server Display Driver OpenGL OpenCL Compiler File-System Screen Resolution NVIDIA RTX 4070 SUPER Intel Core i9-13900K @ 5.50GHz (24 Cores / 32 Threads) ASUS TUF GAMING Z790-PRO WIFI (1401 BIOS) Intel Device 7a27 32GB 4001GB Seagate ZP4000GP304001 ASUS NVIDIA GeForce RTX 4070 SUPER 12GB Realtek ALC1220 ARZOPA Intel I226-V + Intel Device 7a70 EndeavourOS rolling 6.7.1-arch1-1 (x86_64) KDE Plasma 5.27.10 X Server 1.21.1.11 NVIDIA 550.40.07 4.6.0 OpenCL 3.0 CUDA 12.4.74 GCC 13.2.1 20230801 ext4 1920x1080 OpenBenchmarking.org - Transparent Huge Pages: always - --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 - 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 tensorflow: GPU - 32 - VGG-16 tensorflow: GPU - 512 - AlexNet tensorflow: GPU - 64 - ResNet-50 tensorflow: GPU - 256 - AlexNet tensorflow: GPU - 16 - VGG-16 tensorflow: GPU - 32 - ResNet-50 tensorflow: GPU - 16 - ResNet-50 gpuowl: 77936867 gpuowl: 332220523 tensorflow: GPU - 64 - GoogLeNet tensorflow: GPU - 32 - GoogLeNet octanebench: Total Score gpuowl: 57885161 tensorflow: GPU - 16 - GoogLeNet fahbench: luxcorerender: LuxCore Benchmark - GPU luxcorerender: DLSC - GPU indigobench: OpenCL GPU - Bedroom vkresample: 2x - Double indigobench: OpenCL GPU - Supercar tensorflow: GPU - 32 - AlexNet tensorflow: GPU - 64 - AlexNet luxcorerender: Orange Juice - GPU luxcorerender: Danish Mood - GPU blender: Barbershop - NVIDIA OptiX tensorflow: GPU - 16 - AlexNet namd-cuda: ATPase Simulation - 327,506 Atoms blender: Fishy Cat - NVIDIA OptiX realsr-ncnn: 4x - Yes realsr-ncnn: 4x - No tensorflow: GPU - 1 - VGG-16 blender: BMW27 - NVIDIA OptiX viennacl: CPU BLAS - dGEMM-TT viennacl: CPU BLAS - dGEMM-TN viennacl: CPU BLAS - dGEMM-NT viennacl: CPU BLAS - dGEMM-NN viennacl: CPU BLAS - dGEMV-T viennacl: CPU BLAS - dGEMV-N viennacl: CPU BLAS - dDOT viennacl: CPU BLAS - dAXPY viennacl: CPU BLAS - dCOPY viennacl: CPU BLAS - sDOT viennacl: CPU BLAS - sAXPY viennacl: CPU BLAS - sCOPY viennacl: OpenCL BLAS - dGEMM-TT viennacl: OpenCL BLAS - dGEMM-TN viennacl: OpenCL BLAS - dGEMM-NT viennacl: OpenCL BLAS - dGEMM-NN viennacl: OpenCL BLAS - dGEMV-T viennacl: OpenCL BLAS - dGEMV-N viennacl: OpenCL BLAS - dDOT viennacl: OpenCL BLAS - dAXPY viennacl: OpenCL BLAS - dCOPY viennacl: OpenCL BLAS - sDOT viennacl: OpenCL BLAS - sAXPY viennacl: OpenCL BLAS - sCOPY pytorch: NVIDIA CUDA GPU - 64 - Efficientnet_v2_l pytorch: NVIDIA CUDA GPU - 256 - Efficientnet_v2_l blender: Pabellon Barcelona - NVIDIA OptiX pytorch: NVIDIA CUDA GPU - 64 - ResNet-152 blender: Classroom - NVIDIA OptiX opencl-benchmark: Memory Bandwidth Coalesced Write opencl-benchmark: Memory Bandwidth Coalesced Read opencl-benchmark: INT8 Compute opencl-benchmark: INT16 Compute opencl-benchmark: INT32 Compute opencl-benchmark: INT64 Compute opencl-benchmark: FP32 Compute opencl-benchmark: FP64 Compute pytorch: NVIDIA CUDA GPU - 512 - ResNet-152 pytorch: NVIDIA CUDA GPU - 256 - ResNet-152 tensorflow: GPU - 1 - ResNet-50 pytorch: NVIDIA CUDA GPU - 32 - Efficientnet_v2_l pytorch: NVIDIA CUDA GPU - 512 - Efficientnet_v2_l vkresample: 2x - Single pytorch: NVIDIA CUDA GPU - 256 - ResNet-50 pytorch: NVIDIA CUDA GPU - 64 - ResNet-50 tensorflow: GPU - 1 - GoogLeNet clpeak: Double-Precision Double luxcorerender: Rainbow Colors and Prism - GPU hashcat: SHA-512 hashcat: SHA1 hashcat: MD5 tensorflow: GPU - 1 - AlexNet pytorch: NVIDIA CUDA GPU - 1 - Efficientnet_v2_l pytorch: NVIDIA CUDA GPU - 16 - ResNet-152 pytorch: NVIDIA CUDA GPU - 32 - ResNet-152 pytorch: NVIDIA CUDA GPU - 32 - ResNet-50 pytorch: NVIDIA CUDA GPU - 512 - ResNet-50 hashcat: TrueCrypt RIPEMD160 + XTS pytorch: NVIDIA CUDA GPU - 1 - ResNet-152 rodinia: OpenCL Particle Filter pytorch: NVIDIA CUDA GPU - 16 - ResNet-50 cl-mem: Copy cl-mem: Read cl-mem: Write hashcat: 7-Zip pytorch: NVIDIA CUDA GPU - 1 - ResNet-50 waifu2x-ncnn: 2x - 3 - Yes financebench: Black-Scholes OpenCL clpeak: Global Memory Bandwidth mandelgpu: GPU clpeak: Integer Compute INT clpeak: Single-Precision Float neatbench: GPU vkfft: FFT + iFFT C2C 1D batched in single precision NVIDIA RTX 4070 SUPER 1.50 35.10 5.55 34.16 1.48 5.51 5.46 646.41 137.44 15.52 15.61 720.973789 869.07 15.67 366.0576 12.82 13.59 19.801 339.593 52.813 33.4 33.97 11.72 10.56 51.30 31.59 0.06791 9.45 34.885 6.323 1.35 5.57 122 115 117 119 109 102 96.8 87.2 70.8 165 156 132 613 599 584 577 389 210 458 437 423 370 392 334 102.60 103.17 14.29 196.07 12.60 455.01 464.86 14.307 17.170 19.889 4.214 38.594 0.621 195.30 194.58 4.35 102.60 103.57 18.489 504.67 507.45 12.62 630.11 27.67 3232733333 22132600000 67583033333 13.92 106.37 195.40 195.39 501.50 504.27 802967 201.94 3.480 509.45 331.8 446.2 407.5 1176467 557.73 2.855 5.912 437.65 587219538.2 18170.54 35492.69 4070 OpenBenchmarking.org
TensorFlow Device: GPU - Batch Size: 32 - Model: VGG-16 OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: GPU - Batch Size: 32 - Model: VGG-16 NVIDIA RTX 4070 SUPER 0.3375 0.675 1.0125 1.35 1.6875 SE +/- 0.00, N = 3 1.50
TensorFlow Device: GPU - Batch Size: 512 - Model: AlexNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: GPU - Batch Size: 512 - Model: AlexNet NVIDIA RTX 4070 SUPER 8 16 24 32 40 SE +/- 0.02, N = 2 35.10
TensorFlow Device: GPU - Batch Size: 64 - Model: ResNet-50 OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: GPU - Batch Size: 64 - Model: ResNet-50 NVIDIA RTX 4070 SUPER 1.2488 2.4976 3.7464 4.9952 6.244 SE +/- 0.01, N = 2 5.55
TensorFlow Device: GPU - Batch Size: 256 - Model: AlexNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: GPU - Batch Size: 256 - Model: AlexNet NVIDIA RTX 4070 SUPER 8 16 24 32 40 SE +/- 0.01, N = 3 34.16
TensorFlow Device: GPU - Batch Size: 16 - Model: VGG-16 OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: GPU - Batch Size: 16 - Model: VGG-16 NVIDIA RTX 4070 SUPER 0.333 0.666 0.999 1.332 1.665 SE +/- 0.00, N = 2 1.48
TensorFlow Device: GPU - Batch Size: 32 - Model: ResNet-50 OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: GPU - Batch Size: 32 - Model: ResNet-50 NVIDIA RTX 4070 SUPER 1.2398 2.4796 3.7194 4.9592 6.199 SE +/- 0.01, N = 2 5.51
TensorFlow Device: GPU - Batch Size: 16 - Model: ResNet-50 OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: GPU - Batch Size: 16 - Model: ResNet-50 NVIDIA RTX 4070 SUPER 1.2285 2.457 3.6855 4.914 6.1425 SE +/- 0.00, N = 2 5.46
GpuOwl Exponent: 77936867 OpenBenchmarking.org Iterations / Second, More Is Better GpuOwl 7.2.1 Exponent: 77936867 NVIDIA RTX 4070 SUPER 140 280 420 560 700 SE +/- 0.00, N = 3 646.41
GpuOwl Exponent: 332220523 OpenBenchmarking.org Iterations / Second, More Is Better GpuOwl 7.2.1 Exponent: 332220523 NVIDIA RTX 4070 SUPER 30 60 90 120 150 SE +/- 0.00, N = 3 137.44
TensorFlow Device: GPU - Batch Size: 64 - Model: GoogLeNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: GPU - Batch Size: 64 - Model: GoogLeNet NVIDIA RTX 4070 SUPER 4 8 12 16 20 15.52
TensorFlow Device: GPU - Batch Size: 32 - Model: GoogLeNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: GPU - Batch Size: 32 - Model: GoogLeNet NVIDIA RTX 4070 SUPER 4 8 12 16 20 SE +/- 0.01, N = 2 15.61
OctaneBench Total Score OpenBenchmarking.org Score, More Is Better OctaneBench 2020.1 Total Score NVIDIA RTX 4070 SUPER 160 320 480 640 800 720.97
GpuOwl Exponent: 57885161 OpenBenchmarking.org Iterations / Second, More Is Better GpuOwl 7.2.1 Exponent: 57885161 NVIDIA RTX 4070 SUPER 200 400 600 800 1000 SE +/- 1.26, N = 3 869.07
TensorFlow Device: GPU - Batch Size: 16 - Model: GoogLeNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: GPU - Batch Size: 16 - Model: GoogLeNet NVIDIA RTX 4070 SUPER 4 8 12 16 20 SE +/- 0.03, N = 3 15.67
FAHBench OpenBenchmarking.org Ns Per Day, More Is Better FAHBench 2.3.2 NVIDIA RTX 4070 SUPER 80 160 240 320 400 SE +/- 0.39, N = 3 366.06
LuxCoreRender Scene: LuxCore Benchmark - Acceleration: GPU OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender 2.6 Scene: LuxCore Benchmark - Acceleration: GPU NVIDIA RTX 4070 SUPER 3 6 9 12 15 SE +/- 0.02, N = 3 12.82 MIN: 4.84 / MAX: 14.62
LuxCoreRender Scene: DLSC - Acceleration: GPU OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender 2.6 Scene: DLSC - Acceleration: GPU NVIDIA RTX 4070 SUPER 3 6 9 12 15 SE +/- 0.01, N = 3 13.59 MIN: 12.52 / MAX: 13.84
IndigoBench Acceleration: OpenCL GPU - Scene: Bedroom OpenBenchmarking.org M samples/s, More Is Better IndigoBench 4.4 Acceleration: OpenCL GPU - Scene: Bedroom NVIDIA RTX 4070 SUPER 5 10 15 20 25 SE +/- 0.01, N = 3 19.80
VkResample Upscale: 2x - Precision: Double OpenBenchmarking.org ms, Fewer Is Better VkResample 1.0 Upscale: 2x - Precision: Double NVIDIA RTX 4070 SUPER 70 140 210 280 350 SE +/- 0.30, N = 3 339.59 1. (CXX) g++ options: -O3
IndigoBench Acceleration: OpenCL GPU - Scene: Supercar OpenBenchmarking.org M samples/s, More Is Better IndigoBench 4.4 Acceleration: OpenCL GPU - Scene: Supercar NVIDIA RTX 4070 SUPER 12 24 36 48 60 SE +/- 0.03, N = 3 52.81
TensorFlow Device: GPU - Batch Size: 32 - Model: AlexNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: GPU - Batch Size: 32 - Model: AlexNet NVIDIA RTX 4070 SUPER 8 16 24 32 40 SE +/- 0.15, N = 2 33.4
TensorFlow Device: GPU - Batch Size: 64 - Model: AlexNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: GPU - Batch Size: 64 - Model: AlexNet NVIDIA RTX 4070 SUPER 8 16 24 32 40 33.97
LuxCoreRender Scene: Orange Juice - Acceleration: GPU OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender 2.6 Scene: Orange Juice - Acceleration: GPU NVIDIA RTX 4070 SUPER 3 6 9 12 15 SE +/- 0.07, N = 3 11.72 MIN: 9.6 / MAX: 15.44
LuxCoreRender Scene: Danish Mood - Acceleration: GPU OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender 2.6 Scene: Danish Mood - Acceleration: GPU NVIDIA RTX 4070 SUPER 3 6 9 12 15 SE +/- 0.08, N = 3 10.56 MIN: 3.7 / MAX: 12.17
Blender Blend File: Barbershop - Compute: NVIDIA OptiX OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.0 Blend File: Barbershop - Compute: NVIDIA OptiX NVIDIA RTX 4070 SUPER 12 24 36 48 60 SE +/- 0.10, N = 3 51.30
TensorFlow Device: GPU - Batch Size: 16 - Model: AlexNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: GPU - Batch Size: 16 - Model: AlexNet NVIDIA RTX 4070 SUPER 7 14 21 28 35 SE +/- 0.17, N = 3 31.59
NAMD CUDA ATPase Simulation - 327,506 Atoms OpenBenchmarking.org days/ns, Fewer Is Better NAMD CUDA 2.14 ATPase Simulation - 327,506 Atoms NVIDIA RTX 4070 SUPER 0.0153 0.0306 0.0459 0.0612 0.0765 SE +/- 0.00031, N = 3 0.06791
Blender Blend File: Fishy Cat - Compute: NVIDIA OptiX OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.0 Blend File: Fishy Cat - Compute: NVIDIA OptiX NVIDIA RTX 4070 SUPER 3 6 9 12 15 SE +/- 0.06, N = 13 9.45
RealSR-NCNN Scale: 4x - TAA: Yes OpenBenchmarking.org Seconds, Fewer Is Better RealSR-NCNN 20200818 Scale: 4x - TAA: Yes NVIDIA RTX 4070 SUPER 8 16 24 32 40 SE +/- 0.02, N = 3 34.89
RealSR-NCNN Scale: 4x - TAA: No OpenBenchmarking.org Seconds, Fewer Is Better RealSR-NCNN 20200818 Scale: 4x - TAA: No NVIDIA RTX 4070 SUPER 2 4 6 8 10 SE +/- 0.150, N = 15 6.323
TensorFlow Device: GPU - Batch Size: 1 - Model: VGG-16 OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: GPU - Batch Size: 1 - Model: VGG-16 NVIDIA RTX 4070 SUPER 0.3038 0.6076 0.9114 1.2152 1.519 1.35
Blender Blend File: BMW27 - Compute: NVIDIA OptiX OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.0 Blend File: BMW27 - Compute: NVIDIA OptiX NVIDIA RTX 4070 SUPER 1.2533 2.5066 3.7599 5.0132 6.2665 SE +/- 0.06, N = 13 5.57
ViennaCL Test: CPU BLAS - dGEMM-TT OpenBenchmarking.org GFLOPs/s, More Is Better ViennaCL 1.7.1 Test: CPU BLAS - dGEMM-TT NVIDIA RTX 4070 SUPER 30 60 90 120 150 SE +/- 2.08, N = 3 122 1. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
ViennaCL Test: CPU BLAS - dGEMM-TN OpenBenchmarking.org GFLOPs/s, More Is Better ViennaCL 1.7.1 Test: CPU BLAS - dGEMM-TN NVIDIA RTX 4070 SUPER 30 60 90 120 150 SE +/- 1.00, N = 2 115 1. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
ViennaCL Test: CPU BLAS - dGEMM-NT OpenBenchmarking.org GFLOPs/s, More Is Better ViennaCL 1.7.1 Test: CPU BLAS - dGEMM-NT NVIDIA RTX 4070 SUPER 30 60 90 120 150 SE +/- 2.08, N = 3 117 1. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
ViennaCL Test: CPU BLAS - dGEMM-NN OpenBenchmarking.org GFLOPs/s, More Is Better ViennaCL 1.7.1 Test: CPU BLAS - dGEMM-NN NVIDIA RTX 4070 SUPER 30 60 90 120 150 SE +/- 4.04, N = 3 119 1. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
ViennaCL Test: CPU BLAS - dGEMV-T OpenBenchmarking.org GB/s, More Is Better ViennaCL 1.7.1 Test: CPU BLAS - dGEMV-T NVIDIA RTX 4070 SUPER 20 40 60 80 100 SE +/- 0.33, N = 3 109 1. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
ViennaCL Test: CPU BLAS - dGEMV-N OpenBenchmarking.org GB/s, More Is Better ViennaCL 1.7.1 Test: CPU BLAS - dGEMV-N NVIDIA RTX 4070 SUPER 20 40 60 80 100 SE +/- 0.33, N = 3 102 1. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
ViennaCL Test: CPU BLAS - dDOT OpenBenchmarking.org GB/s, More Is Better ViennaCL 1.7.1 Test: CPU BLAS - dDOT NVIDIA RTX 4070 SUPER 20 40 60 80 100 SE +/- 0.09, N = 3 96.8 1. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
ViennaCL Test: CPU BLAS - dAXPY OpenBenchmarking.org GB/s, More Is Better ViennaCL 1.7.1 Test: CPU BLAS - dAXPY NVIDIA RTX 4070 SUPER 20 40 60 80 100 SE +/- 0.12, N = 3 87.2 1. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
ViennaCL Test: CPU BLAS - dCOPY OpenBenchmarking.org GB/s, More Is Better ViennaCL 1.7.1 Test: CPU BLAS - dCOPY NVIDIA RTX 4070 SUPER 16 32 48 64 80 SE +/- 0.32, N = 3 70.8 1. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
ViennaCL Test: CPU BLAS - sDOT OpenBenchmarking.org GB/s, More Is Better ViennaCL 1.7.1 Test: CPU BLAS - sDOT NVIDIA RTX 4070 SUPER 40 80 120 160 200 SE +/- 2.73, N = 3 165 1. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
ViennaCL Test: CPU BLAS - sAXPY OpenBenchmarking.org GB/s, More Is Better ViennaCL 1.7.1 Test: CPU BLAS - sAXPY NVIDIA RTX 4070 SUPER 30 60 90 120 150 SE +/- 2.19, N = 3 156 1. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
ViennaCL Test: CPU BLAS - sCOPY OpenBenchmarking.org GB/s, More Is Better ViennaCL 1.7.1 Test: CPU BLAS - sCOPY NVIDIA RTX 4070 SUPER 30 60 90 120 150 SE +/- 1.20, N = 3 132 1. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
ViennaCL Test: OpenCL BLAS - dGEMM-TT OpenBenchmarking.org GFLOPs/s, More Is Better ViennaCL 1.7.1 Test: OpenCL BLAS - dGEMM-TT NVIDIA RTX 4070 SUPER 130 260 390 520 650 SE +/- 0.00, N = 3 613 1. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
ViennaCL Test: OpenCL BLAS - dGEMM-TN OpenBenchmarking.org GFLOPs/s, More Is Better ViennaCL 1.7.1 Test: OpenCL BLAS - dGEMM-TN NVIDIA RTX 4070 SUPER 130 260 390 520 650 SE +/- 0.00, N = 3 599 1. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
ViennaCL Test: OpenCL BLAS - dGEMM-NT OpenBenchmarking.org GFLOPs/s, More Is Better ViennaCL 1.7.1 Test: OpenCL BLAS - dGEMM-NT NVIDIA RTX 4070 SUPER 130 260 390 520 650 SE +/- 0.00, N = 3 584 1. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
ViennaCL Test: OpenCL BLAS - dGEMM-NN OpenBenchmarking.org GFLOPs/s, More Is Better ViennaCL 1.7.1 Test: OpenCL BLAS - dGEMM-NN NVIDIA RTX 4070 SUPER 120 240 360 480 600 SE +/- 0.00, N = 3 577 1. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
ViennaCL Test: OpenCL BLAS - dGEMV-T OpenBenchmarking.org GB/s, More Is Better ViennaCL 1.7.1 Test: OpenCL BLAS - dGEMV-T NVIDIA RTX 4070 SUPER 80 160 240 320 400 SE +/- 0.00, N = 3 389 1. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
ViennaCL Test: OpenCL BLAS - dGEMV-N OpenBenchmarking.org GB/s, More Is Better ViennaCL 1.7.1 Test: OpenCL BLAS - dGEMV-N NVIDIA RTX 4070 SUPER 50 100 150 200 250 SE +/- 0.33, N = 3 210 1. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
ViennaCL Test: OpenCL BLAS - dDOT OpenBenchmarking.org GB/s, More Is Better ViennaCL 1.7.1 Test: OpenCL BLAS - dDOT NVIDIA RTX 4070 SUPER 100 200 300 400 500 SE +/- 0.00, N = 3 458 1. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
ViennaCL Test: OpenCL BLAS - dAXPY OpenBenchmarking.org GB/s, More Is Better ViennaCL 1.7.1 Test: OpenCL BLAS - dAXPY NVIDIA RTX 4070 SUPER 90 180 270 360 450 SE +/- 0.00, N = 3 437 1. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
ViennaCL Test: OpenCL BLAS - dCOPY OpenBenchmarking.org GB/s, More Is Better ViennaCL 1.7.1 Test: OpenCL BLAS - dCOPY NVIDIA RTX 4070 SUPER 90 180 270 360 450 SE +/- 0.33, N = 3 423 1. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
ViennaCL Test: OpenCL BLAS - sDOT OpenBenchmarking.org GB/s, More Is Better ViennaCL 1.7.1 Test: OpenCL BLAS - sDOT NVIDIA RTX 4070 SUPER 80 160 240 320 400 SE +/- 0.00, N = 3 370 1. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
ViennaCL Test: OpenCL BLAS - sAXPY OpenBenchmarking.org GB/s, More Is Better ViennaCL 1.7.1 Test: OpenCL BLAS - sAXPY NVIDIA RTX 4070 SUPER 90 180 270 360 450 SE +/- 0.00, N = 3 392 1. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
ViennaCL Test: OpenCL BLAS - sCOPY OpenBenchmarking.org GB/s, More Is Better ViennaCL 1.7.1 Test: OpenCL BLAS - sCOPY NVIDIA RTX 4070 SUPER 70 140 210 280 350 SE +/- 0.33, N = 3 334 1. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
PyTorch Device: NVIDIA CUDA GPU - Batch Size: 64 - Model: Efficientnet_v2_l OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: NVIDIA CUDA GPU - Batch Size: 64 - Model: Efficientnet_v2_l NVIDIA RTX 4070 SUPER 20 40 60 80 100 SE +/- 1.49, N = 2 102.60 MIN: 79.69 / MAX: 105.28
PyTorch Device: NVIDIA CUDA GPU - Batch Size: 256 - Model: Efficientnet_v2_l OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: NVIDIA CUDA GPU - Batch Size: 256 - Model: Efficientnet_v2_l NVIDIA RTX 4070 SUPER 20 40 60 80 100 103.17 MIN: 95.79 / MAX: 105.15
Blender Blend File: Pabellon Barcelona - Compute: NVIDIA OptiX OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.0 Blend File: Pabellon Barcelona - Compute: NVIDIA OptiX NVIDIA RTX 4070 SUPER 4 8 12 16 20 SE +/- 0.03, N = 3 14.29
PyTorch Device: NVIDIA CUDA GPU - Batch Size: 64 - Model: ResNet-152 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: NVIDIA CUDA GPU - Batch Size: 64 - Model: ResNet-152 NVIDIA RTX 4070 SUPER 40 80 120 160 200 SE +/- 0.51, N = 3 196.07 MIN: 171.95 / MAX: 199.96
Blender Blend File: Classroom - Compute: NVIDIA OptiX OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.0 Blend File: Classroom - Compute: NVIDIA OptiX NVIDIA RTX 4070 SUPER 3 6 9 12 15 SE +/- 0.00, N = 3 12.60
ProjectPhysX OpenCL-Benchmark Operation: Memory Bandwidth Coalesced Write OpenBenchmarking.org GB/s, More Is Better ProjectPhysX OpenCL-Benchmark 1.2 Operation: Memory Bandwidth Coalesced Write NVIDIA RTX 4070 SUPER 100 200 300 400 500 SE +/- 0.14, N = 3 455.01 1. (CXX) g++ options: -std=c++17 -pthread -lOpenCL
ProjectPhysX OpenCL-Benchmark Operation: Memory Bandwidth Coalesced Read OpenBenchmarking.org GB/s, More Is Better ProjectPhysX OpenCL-Benchmark 1.2 Operation: Memory Bandwidth Coalesced Read NVIDIA RTX 4070 SUPER 100 200 300 400 500 SE +/- 0.01, N = 3 464.86 1. (CXX) g++ options: -std=c++17 -pthread -lOpenCL
ProjectPhysX OpenCL-Benchmark Operation: INT8 Compute OpenBenchmarking.org TIOPs/s, More Is Better ProjectPhysX OpenCL-Benchmark 1.2 Operation: INT8 Compute NVIDIA RTX 4070 SUPER 4 8 12 16 20 SE +/- 0.05, N = 3 14.31 1. (CXX) g++ options: -std=c++17 -pthread -lOpenCL
ProjectPhysX OpenCL-Benchmark Operation: INT16 Compute OpenBenchmarking.org TIOPs/s, More Is Better ProjectPhysX OpenCL-Benchmark 1.2 Operation: INT16 Compute NVIDIA RTX 4070 SUPER 4 8 12 16 20 SE +/- 0.00, N = 3 17.17 1. (CXX) g++ options: -std=c++17 -pthread -lOpenCL
ProjectPhysX OpenCL-Benchmark Operation: INT32 Compute OpenBenchmarking.org TIOPs/s, More Is Better ProjectPhysX OpenCL-Benchmark 1.2 Operation: INT32 Compute NVIDIA RTX 4070 SUPER 5 10 15 20 25 SE +/- 0.00, N = 3 19.89 1. (CXX) g++ options: -std=c++17 -pthread -lOpenCL
ProjectPhysX OpenCL-Benchmark Operation: INT64 Compute OpenBenchmarking.org TIOPs/s, More Is Better ProjectPhysX OpenCL-Benchmark 1.2 Operation: INT64 Compute NVIDIA RTX 4070 SUPER 0.9482 1.8964 2.8446 3.7928 4.741 SE +/- 0.015, N = 3 4.214 1. (CXX) g++ options: -std=c++17 -pthread -lOpenCL
ProjectPhysX OpenCL-Benchmark Operation: FP32 Compute OpenBenchmarking.org TFLOPs/s, More Is Better ProjectPhysX OpenCL-Benchmark 1.2 Operation: FP32 Compute NVIDIA RTX 4070 SUPER 9 18 27 36 45 SE +/- 0.03, N = 3 38.59 1. (CXX) g++ options: -std=c++17 -pthread -lOpenCL
ProjectPhysX OpenCL-Benchmark Operation: FP64 Compute OpenBenchmarking.org TFLOPs/s, More Is Better ProjectPhysX OpenCL-Benchmark 1.2 Operation: FP64 Compute NVIDIA RTX 4070 SUPER 0.1397 0.2794 0.4191 0.5588 0.6985 SE +/- 0.000, N = 3 0.621 1. (CXX) g++ options: -std=c++17 -pthread -lOpenCL
PyTorch Device: NVIDIA CUDA GPU - Batch Size: 512 - Model: ResNet-152 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: NVIDIA CUDA GPU - Batch Size: 512 - Model: ResNet-152 NVIDIA RTX 4070 SUPER 40 80 120 160 200 SE +/- 1.38, N = 2 195.30 MIN: 182 / MAX: 199.43
PyTorch Device: NVIDIA CUDA GPU - Batch Size: 256 - Model: ResNet-152 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: NVIDIA CUDA GPU - Batch Size: 256 - Model: ResNet-152 NVIDIA RTX 4070 SUPER 40 80 120 160 200 SE +/- 1.14, N = 2 194.58 MIN: 183.74 / MAX: 198.52
TensorFlow Device: GPU - Batch Size: 1 - Model: ResNet-50 OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: GPU - Batch Size: 1 - Model: ResNet-50 NVIDIA RTX 4070 SUPER 0.9788 1.9576 2.9364 3.9152 4.894 4.35
PyTorch Device: NVIDIA CUDA GPU - Batch Size: 32 - Model: Efficientnet_v2_l OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: NVIDIA CUDA GPU - Batch Size: 32 - Model: Efficientnet_v2_l NVIDIA RTX 4070 SUPER 20 40 60 80 100 102.60 MIN: 94.84 / MAX: 104.25
PyTorch Device: NVIDIA CUDA GPU - Batch Size: 512 - Model: Efficientnet_v2_l OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: NVIDIA CUDA GPU - Batch Size: 512 - Model: Efficientnet_v2_l NVIDIA RTX 4070 SUPER 20 40 60 80 100 103.57 MIN: 95.95 / MAX: 105.54
VkResample Upscale: 2x - Precision: Single OpenBenchmarking.org ms, Fewer Is Better VkResample 1.0 Upscale: 2x - Precision: Single NVIDIA RTX 4070 SUPER 5 10 15 20 25 SE +/- 0.00, N = 3 18.49 1. (CXX) g++ options: -O3
PyTorch Device: NVIDIA CUDA GPU - Batch Size: 256 - Model: ResNet-50 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: NVIDIA CUDA GPU - Batch Size: 256 - Model: ResNet-50 NVIDIA RTX 4070 SUPER 110 220 330 440 550 SE +/- 1.39, N = 3 504.67 MIN: 412.34 / MAX: 514.07
PyTorch Device: NVIDIA CUDA GPU - Batch Size: 64 - Model: ResNet-50 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: NVIDIA CUDA GPU - Batch Size: 64 - Model: ResNet-50 NVIDIA RTX 4070 SUPER 110 220 330 440 550 SE +/- 0.92, N = 3 507.45 MIN: 423.41 / MAX: 512.88
TensorFlow Device: GPU - Batch Size: 1 - Model: GoogLeNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: GPU - Batch Size: 1 - Model: GoogLeNet NVIDIA RTX 4070 SUPER 3 6 9 12 15 SE +/- 0.17, N = 2 12.62
clpeak OpenCL Test: Double-Precision Double OpenBenchmarking.org GFLOPS, More Is Better clpeak 1.1.2 OpenCL Test: Double-Precision Double NVIDIA RTX 4070 SUPER 140 280 420 560 700 SE +/- 0.98, N = 3 630.11 1. (CXX) g++ options: -O3
LuxCoreRender Scene: Rainbow Colors and Prism - Acceleration: GPU OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender 2.6 Scene: Rainbow Colors and Prism - Acceleration: GPU NVIDIA RTX 4070 SUPER 7 14 21 28 35 SE +/- 0.03, N = 3 27.67 MIN: 24.87 / MAX: 29.03
Hashcat Benchmark: SHA-512 OpenBenchmarking.org H/s, More Is Better Hashcat 6.2.4 Benchmark: SHA-512 NVIDIA RTX 4070 SUPER 700M 1400M 2100M 2800M 3500M SE +/- 1530068.99, N = 3 3232733333
Hashcat Benchmark: SHA1 OpenBenchmarking.org H/s, More Is Better Hashcat 6.2.4 Benchmark: SHA1 NVIDIA RTX 4070 SUPER 5000M 10000M 15000M 20000M 25000M SE +/- 5140363.15, N = 3 22132600000
Hashcat Benchmark: MD5 OpenBenchmarking.org H/s, More Is Better Hashcat 6.2.4 Benchmark: MD5 NVIDIA RTX 4070 SUPER 14000M 28000M 42000M 56000M 70000M SE +/- 22430807.19, N = 3 67583033333
TensorFlow Device: GPU - Batch Size: 1 - Model: AlexNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: GPU - Batch Size: 1 - Model: AlexNet NVIDIA RTX 4070 SUPER 4 8 12 16 20 SE +/- 0.22, N = 2 13.92
PyTorch Device: NVIDIA CUDA GPU - Batch Size: 1 - Model: Efficientnet_v2_l OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: NVIDIA CUDA GPU - Batch Size: 1 - Model: Efficientnet_v2_l NVIDIA RTX 4070 SUPER 20 40 60 80 100 106.37 MIN: 97.91 / MAX: 108.16
PyTorch Device: NVIDIA CUDA GPU - Batch Size: 16 - Model: ResNet-152 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: NVIDIA CUDA GPU - Batch Size: 16 - Model: ResNet-152 NVIDIA RTX 4070 SUPER 40 80 120 160 200 195.40 MIN: 186.09 / MAX: 197.7
PyTorch Device: NVIDIA CUDA GPU - Batch Size: 32 - Model: ResNet-152 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: NVIDIA CUDA GPU - Batch Size: 32 - Model: ResNet-152 NVIDIA RTX 4070 SUPER 40 80 120 160 200 195.39 MIN: 183.94 / MAX: 198.7
PyTorch Device: NVIDIA CUDA GPU - Batch Size: 32 - Model: ResNet-50 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: NVIDIA CUDA GPU - Batch Size: 32 - Model: ResNet-50 NVIDIA RTX 4070 SUPER 110 220 330 440 550 SE +/- 2.17, N = 2 501.50 MIN: 415.94 / MAX: 510.69
PyTorch Device: NVIDIA CUDA GPU - Batch Size: 512 - Model: ResNet-50 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: NVIDIA CUDA GPU - Batch Size: 512 - Model: ResNet-50 NVIDIA RTX 4070 SUPER 110 220 330 440 550 SE +/- 4.43, N = 2 504.27 MIN: 418.22 / MAX: 512.44
Hashcat Benchmark: TrueCrypt RIPEMD160 + XTS OpenBenchmarking.org H/s, More Is Better Hashcat 6.2.4 Benchmark: TrueCrypt RIPEMD160 + XTS NVIDIA RTX 4070 SUPER 200K 400K 600K 800K 1000K SE +/- 633.33, N = 3 802967
PyTorch Device: NVIDIA CUDA GPU - Batch Size: 1 - Model: ResNet-152 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: NVIDIA CUDA GPU - Batch Size: 1 - Model: ResNet-152 NVIDIA RTX 4070 SUPER 40 80 120 160 200 201.94 MIN: 183.53 / MAX: 206.5
Rodinia Test: OpenCL Particle Filter OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenCL Particle Filter NVIDIA RTX 4070 SUPER 0.783 1.566 2.349 3.132 3.915 SE +/- 0.039, N = 4 3.480 1. (CXX) g++ options: -O2 -lOpenCL
PyTorch Device: NVIDIA CUDA GPU - Batch Size: 16 - Model: ResNet-50 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: NVIDIA CUDA GPU - Batch Size: 16 - Model: ResNet-50 NVIDIA RTX 4070 SUPER 110 220 330 440 550 509.45 MIN: 430.1 / MAX: 516.48
cl-mem Benchmark: Copy OpenBenchmarking.org GB/s, More Is Better cl-mem 2017-01-13 Benchmark: Copy NVIDIA RTX 4070 SUPER 70 140 210 280 350 SE +/- 0.03, N = 3 331.8 1. (CC) gcc options: -O2 -flto -lOpenCL
cl-mem Benchmark: Read OpenBenchmarking.org GB/s, More Is Better cl-mem 2017-01-13 Benchmark: Read NVIDIA RTX 4070 SUPER 100 200 300 400 500 SE +/- 0.12, N = 3 446.2 1. (CC) gcc options: -O2 -flto -lOpenCL
cl-mem Benchmark: Write OpenBenchmarking.org GB/s, More Is Better cl-mem 2017-01-13 Benchmark: Write NVIDIA RTX 4070 SUPER 90 180 270 360 450 SE +/- 1.11, N = 3 407.5 1. (CC) gcc options: -O2 -flto -lOpenCL
Hashcat Benchmark: 7-Zip OpenBenchmarking.org H/s, More Is Better Hashcat 6.2.4 Benchmark: 7-Zip NVIDIA RTX 4070 SUPER 300K 600K 900K 1200K 1500K SE +/- 1991.93, N = 3 1176467
PyTorch Device: NVIDIA CUDA GPU - Batch Size: 1 - Model: ResNet-50 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: NVIDIA CUDA GPU - Batch Size: 1 - Model: ResNet-50 NVIDIA RTX 4070 SUPER 120 240 360 480 600 557.73 MIN: 513.63 / MAX: 563.37
Waifu2x-NCNN Vulkan Scale: 2x - Denoise: 3 - TAA: Yes OpenBenchmarking.org Seconds, Fewer Is Better Waifu2x-NCNN Vulkan 20200818 Scale: 2x - Denoise: 3 - TAA: Yes NVIDIA RTX 4070 SUPER 0.6424 1.2848 1.9272 2.5696 3.212 SE +/- 0.014, N = 3 2.855
FinanceBench Benchmark: Black-Scholes OpenCL OpenBenchmarking.org ms, Fewer Is Better FinanceBench 2016-07-25 Benchmark: Black-Scholes OpenCL NVIDIA RTX 4070 SUPER 1.3302 2.6604 3.9906 5.3208 6.651 SE +/- 0.114, N = 15 5.912 1. (CXX) g++ options: -O3 -march=native -fopenmp
clpeak OpenCL Test: Global Memory Bandwidth OpenBenchmarking.org GBPS, More Is Better clpeak 1.1.2 OpenCL Test: Global Memory Bandwidth NVIDIA RTX 4070 SUPER 90 180 270 360 450 SE +/- 0.02, N = 3 437.65 1. (CXX) g++ options: -O3
MandelGPU OpenCL Device: GPU OpenBenchmarking.org Samples/sec, More Is Better MandelGPU 1.3pts1 OpenCL Device: GPU NVIDIA RTX 4070 SUPER 130M 260M 390M 520M 650M SE +/- 467034.80, N = 3 587219538.2 1. (CC) gcc options: -O3 -lm -ftree-vectorize -funroll-loops -lglut -lOpenCL -lGL
clpeak OpenCL Test: Integer Compute INT OpenBenchmarking.org GIOPS, More Is Better clpeak 1.1.2 OpenCL Test: Integer Compute INT NVIDIA RTX 4070 SUPER 4K 8K 12K 16K 20K SE +/- 3.14, N = 3 18170.54 1. (CXX) g++ options: -O3
clpeak OpenCL Test: Single-Precision Float OpenBenchmarking.org GFLOPS, More Is Better clpeak 1.1.2 OpenCL Test: Single-Precision Float NVIDIA RTX 4070 SUPER 8K 16K 24K 32K 40K SE +/- 0.99, N = 3 35492.69 1. (CXX) g++ options: -O3
NeatBench Acceleration: GPU OpenBenchmarking.org FPS, More Is Better NeatBench 5 Acceleration: GPU NVIDIA RTX 4070 SUPER 900 1800 2700 3600 4500 SE +/- 0.00, N = 3 4070
Phoronix Test Suite v10.8.5