RTX 4070 SUPER Intel Core i9-13900K testing with a ASUS TUF GAMING Z790-PRO WIFI (1401 BIOS) and MSI NVIDIA GeForce RTX 4070 12GB on EndeavourOS rolling via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2401299-NE-2401275NE83&grw&sro .
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 NVIDIA RTX 4070 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 MSI NVIDIA GeForce RTX 4070 12GB GCC 13.2.1 20230801 + CUDA 12.3 OpenBenchmarking.org Kernel Details - Transparent Huge Pages: always Compiler Details - --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 Processor Details - Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x11d Graphics Details - NVIDIA RTX 4070 SUPER: BAR1 / Visible vRAM Size: 16384 MiB - vBIOS Version: 95.04.69.00.c1 - NVIDIA RTX 4070: BAR1 / Visible vRAM Size: 16384 MiB - vBIOS Version: 95.04.3e.40.2a Security Details - 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 Environment Details - NVIDIA RTX 4070: NVCC_PREPEND_FLAGS="-ccbin /opt/cuda/bin" Python Details - NVIDIA RTX 4070: Python 3.11.6
RTX 4070 SUPER tensorflow: GPU - 1 - VGG-16 opencl-benchmark: Memory Bandwidth Coalesced Write tensorflow: GPU - 1 - AlexNet opencl-benchmark: INT8 Compute opencl-benchmark: Memory Bandwidth Coalesced Read opencl-benchmark: INT16 Compute opencl-benchmark: INT32 Compute opencl-benchmark: INT64 Compute tensorflow: GPU - 16 - VGG-16 tensorflow: GPU - 32 - VGG-16 tensorflow: GPU - 64 - VGG-16 tensorflow: GPU - 16 - AlexNet tensorflow: GPU - 32 - AlexNet tensorflow: GPU - 64 - AlexNet tensorflow: GPU - 1 - GoogLeNet tensorflow: GPU - 1 - ResNet-50 tensorflow: GPU - 256 - AlexNet tensorflow: GPU - 512 - AlexNet tensorflow: GPU - 16 - GoogLeNet tensorflow: GPU - 16 - ResNet-50 tensorflow: GPU - 32 - GoogLeNet tensorflow: GPU - 32 - ResNet-50 tensorflow: GPU - 64 - GoogLeNet gpuowl: 332220523 gpuowl: 77936867 tensorflow: GPU - 64 - ResNet-50 pytorch: NVIDIA CUDA GPU - 1 - ResNet-50 pytorch: NVIDIA CUDA GPU - 1 - ResNet-152 pytorch: NVIDIA CUDA GPU - 16 - ResNet-50 pytorch: NVIDIA CUDA GPU - 32 - ResNet-50 pytorch: NVIDIA CUDA GPU - 64 - ResNet-50 pytorch: NVIDIA CUDA GPU - 16 - ResNet-152 pytorch: NVIDIA CUDA GPU - 256 - ResNet-50 pytorch: NVIDIA CUDA GPU - 32 - ResNet-152 pytorch: NVIDIA CUDA GPU - 512 - ResNet-50 pytorch: NVIDIA CUDA GPU - 64 - ResNet-152 pytorch: NVIDIA CUDA GPU - 256 - ResNet-152 gpuowl: 57885161 pytorch: NVIDIA CUDA GPU - 512 - ResNet-152 pytorch: NVIDIA CUDA GPU - 1 - Efficientnet_v2_l pytorch: NVIDIA CUDA GPU - 16 - Efficientnet_v2_l pytorch: NVIDIA CUDA GPU - 32 - Efficientnet_v2_l pytorch: NVIDIA CUDA GPU - 64 - Efficientnet_v2_l pytorch: NVIDIA CUDA GPU - 256 - Efficientnet_v2_l pytorch: NVIDIA CUDA GPU - 512 - Efficientnet_v2_l ncnn: Vulkan GPU - mobilenet ncnn: Vulkan GPU-v2-v2 - mobilenet-v2 ncnn: Vulkan GPU-v3-v3 - mobilenet-v3 ncnn: Vulkan GPU - shufflenet-v2 ncnn: Vulkan GPU - mnasnet ncnn: Vulkan GPU - efficientnet-b0 ncnn: Vulkan GPU - blazeface ncnn: Vulkan GPU - googlenet ncnn: Vulkan GPU - vgg16 ncnn: Vulkan GPU - resnet18 ncnn: Vulkan GPU - alexnet ncnn: Vulkan GPU - resnet50 ncnn: Vulkan GPU - yolov4-tiny ncnn: Vulkan GPU - squeezenet_ssd ncnn: Vulkan GPU - regnety_400m ncnn: Vulkan GPU - vision_transformer ncnn: Vulkan GPU - FastestDet rodinia: OpenCL Particle Filter blender: BMW27 - NVIDIA OptiX blender: Classroom - NVIDIA OptiX blender: Fishy Cat - NVIDIA OptiX blender: Barbershop - NVIDIA OptiX blender: Pabellon Barcelona - NVIDIA OptiX neatbench: GPU indigobench: OpenCL GPU - Bedroom indigobench: OpenCL GPU - Supercar luxcorerender: DLSC - GPU luxcorerender: Danish Mood - GPU luxcorerender: Orange Juice - GPU luxcorerender: LuxCore Benchmark - GPU opencl-benchmark: FP32 Compute luxcorerender: Rainbow Colors and Prism - GPU fahbench: hashcat: MD5 hashcat: SHA1 hashcat: 7-Zip hashcat: SHA-512 hashcat: TrueCrypt RIPEMD160 + XTS namd-cuda: ATPase Simulation - 327,506 Atoms octanebench: Total Score financebench: Black-Scholes OpenCL cl-mem: Copy cl-mem: Read cl-mem: Write clpeak: Integer Compute INT clpeak: Single-Precision Float clpeak: Double-Precision Double clpeak: Global Memory Bandwidth mandelgpu: GPU viennacl: CPU BLAS - sCOPY viennacl: CPU BLAS - sAXPY viennacl: CPU BLAS - sDOT viennacl: CPU BLAS - dCOPY viennacl: CPU BLAS - dAXPY viennacl: CPU BLAS - dDOT viennacl: CPU BLAS - dGEMV-N viennacl: CPU BLAS - dGEMV-T viennacl: CPU BLAS - dGEMM-NN viennacl: CPU BLAS - dGEMM-NT viennacl: CPU BLAS - dGEMM-TN viennacl: CPU BLAS - dGEMM-TT viennacl: OpenCL BLAS - sCOPY viennacl: OpenCL BLAS - sAXPY viennacl: OpenCL BLAS - sDOT viennacl: OpenCL BLAS - dCOPY viennacl: OpenCL BLAS - dAXPY viennacl: OpenCL BLAS - dDOT viennacl: OpenCL BLAS - dGEMV-N viennacl: OpenCL BLAS - dGEMV-T viennacl: OpenCL BLAS - dGEMM-NN viennacl: OpenCL BLAS - dGEMM-NT viennacl: OpenCL BLAS - dGEMM-TN opencl-benchmark: FP64 Compute viennacl: OpenCL BLAS - dGEMM-TT libplacebo: deband_heavy libplacebo: polar_nocompute libplacebo: hdr_peakdetect libplacebo: hdr_lut libplacebo: av1_grain_lap realsr-ncnn: 4x - No realsr-ncnn: 4x - Yes vkfft: FFT + iFFT R2C / C2R vkfft: FFT + iFFT C2C 1D batched in half precision vkfft: FFT + iFFT C2C Bluestein in single precision vkfft: FFT + iFFT C2C 1D batched in double precision vkfft: FFT + iFFT C2C 1D batched in single precision vkfft: FFT + iFFT C2C multidimensional in single precision vkfft: FFT + iFFT C2C Bluestein benchmark in double precision vkfft: FFT + iFFT C2C 1D batched in single precision, no reshuffling vkresample: 2x - Double vkresample: 2x - Single waifu2x-ncnn: 2x - 3 - Yes NVIDIA RTX 4070 SUPER NVIDIA RTX 4070 1.35 455.01 13.92 14.307 464.86 17.170 19.889 4.214 1.48 1.50 31.59 33.4 33.97 12.62 4.35 34.16 35.10 15.67 5.46 15.61 5.51 15.52 137.44 646.41 5.55 557.73 201.94 509.45 501.50 507.45 195.40 504.67 195.39 504.27 196.07 194.58 869.07 195.30 106.37 102.60 102.60 103.17 103.57 8.62 3.03 2.25 2.31 3.85 5.07 0.84 11.04 117.81 8.97 16.17 46.26 63.82 6.86 11.11 844.61 2.86 3.480 5.57 12.60 9.45 51.30 14.29 4070 19.801 52.813 13.59 10.56 11.72 12.82 38.594 27.67 366.0576 67583033333 22132600000 1176467 3232733333 802967 0.06791 720.973789 5.912 331.8 446.2 407.5 18170.54 35492.69 630.11 437.65 587219538.2 132 156 165 70.8 87.2 96.8 102 109 119 117 115 122 334 392 370 423 437 458 210 389 577 584 599 0.621 613 2186.70 2327.55 3292.37 3905.98 4171.00 6.323 34.885 54794 131705 15166 24317 73929 50299 4451 75078 339.593 18.489 2.855 1.36 459.43 14.04 12.116 465.18 14.284 16.377 3.443 1.50 1.5 1.50 31.45 33.32 33.93 12.78 4.34 35.21 15.66 5.49 15.63 5.55 15.54 112.61 530.32 5.55 546.76 198.18 458.39 459.94 458.36 187.26 459.93 187.69 459.27 186.63 187.27 714.80 187.51 107.59 103.68 102.90 101.55 101.24 101.43 7.20 2.48 2.15 2.08 2.24 3.59 0.84 6.06 45.52 5.11 5.78 8.72 20.74 5.18 6.21 382.82 2.67 4.098 6.21 14.86 11.03 58.44 16.55 4070 18.203 48.517 11.74 8.89 10.40 10.92 31.768 23.26 317.1952 56147866667 18202466667 976967 2673300000 660967 0.07498 647.997867 6.906 330.3 446.3 406.7 14555.19 28479.39 515.17 437.21 516770131.2 131 153 166 71.0 86.8 96.7 103 109 122 122 121 118 330 389 362 423 455 456 209 387 473 477 494 0.510 502 1843.26 1968.37 3329.26 3946.90 4152.41 7.092 42.852 47097 137762 13714 22390 77774 47212 3886 79057 415.160 18.016 3.168 OpenBenchmarking.org
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 NVIDIA RTX 4070 SUPER 0.306 0.612 0.918 1.224 1.53 SE +/- 0.01, N = 2 1.36 1.35
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 NVIDIA RTX 4070 SUPER 100 200 300 400 500 SE +/- 0.16, N = 3 SE +/- 0.14, N = 3 459.43 455.01 1. (CXX) g++ options: -std=c++17 -pthread -lOpenCL
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 NVIDIA RTX 4070 SUPER 4 8 12 16 20 SE +/- 0.16, N = 3 SE +/- 0.22, N = 2 14.04 13.92
ProjectPhysX OpenCL-Benchmark Operation: INT8 Compute OpenBenchmarking.org TIOPs/s, More Is Better ProjectPhysX OpenCL-Benchmark 1.2 Operation: INT8 Compute NVIDIA RTX 4070 NVIDIA RTX 4070 SUPER 4 8 12 16 20 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 12.12 14.31 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 NVIDIA RTX 4070 SUPER 100 200 300 400 500 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 465.18 464.86 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 NVIDIA RTX 4070 SUPER 4 8 12 16 20 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 14.28 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 NVIDIA RTX 4070 SUPER 5 10 15 20 25 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 16.38 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 NVIDIA RTX 4070 SUPER 0.9482 1.8964 2.8446 3.7928 4.741 SE +/- 0.004, N = 3 SE +/- 0.015, N = 3 3.443 4.214 1. (CXX) g++ options: -std=c++17 -pthread -lOpenCL
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 NVIDIA RTX 4070 SUPER 0.3375 0.675 1.0125 1.35 1.6875 SE +/- 0.01, N = 2 SE +/- 0.00, N = 2 1.50 1.48
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 NVIDIA RTX 4070 SUPER 0.3375 0.675 1.0125 1.35 1.6875 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 1.50 1.50
TensorFlow Device: GPU - Batch Size: 64 - Model: VGG-16 OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: GPU - Batch Size: 64 - Model: VGG-16 NVIDIA RTX 4070 0.3375 0.675 1.0125 1.35 1.6875 SE +/- 0.00, N = 3 1.50
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 NVIDIA RTX 4070 SUPER 7 14 21 28 35 SE +/- 0.17, N = 3 31.45 31.59
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 NVIDIA RTX 4070 SUPER 8 16 24 32 40 SE +/- 0.18, N = 3 SE +/- 0.15, N = 2 33.32 33.40
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 NVIDIA RTX 4070 SUPER 8 16 24 32 40 SE +/- 0.14, N = 3 33.93 33.97
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 NVIDIA RTX 4070 SUPER 3 6 9 12 15 SE +/- 0.10, N = 3 SE +/- 0.17, N = 2 12.78 12.62
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 NVIDIA RTX 4070 SUPER 0.9788 1.9576 2.9364 3.9152 4.894 SE +/- 0.01, N = 3 4.34 4.35
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: 512 - Model: AlexNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: GPU - Batch Size: 512 - Model: AlexNet NVIDIA RTX 4070 NVIDIA RTX 4070 SUPER 8 16 24 32 40 SE +/- 0.03, N = 3 SE +/- 0.02, N = 2 35.21 35.10
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 NVIDIA RTX 4070 SUPER 4 8 12 16 20 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 15.66 15.67
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 NVIDIA RTX 4070 SUPER 1.2353 2.4706 3.7059 4.9412 6.1765 SE +/- 0.02, N = 3 SE +/- 0.00, N = 2 5.49 5.46
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 NVIDIA RTX 4070 SUPER 4 8 12 16 20 SE +/- 0.03, N = 3 SE +/- 0.01, N = 2 15.63 15.61
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 NVIDIA RTX 4070 SUPER 1.2488 2.4976 3.7464 4.9952 6.244 SE +/- 0.01, N = 2 SE +/- 0.01, N = 2 5.55 5.51
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 NVIDIA RTX 4070 SUPER 4 8 12 16 20 SE +/- 0.07, N = 3 15.54 15.52
GpuOwl Exponent: 332220523 OpenBenchmarking.org Iterations / Second, More Is Better GpuOwl 7.2.1 Exponent: 332220523 NVIDIA RTX 4070 NVIDIA RTX 4070 SUPER 30 60 90 120 150 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 112.61 137.44
GpuOwl Exponent: 77936867 OpenBenchmarking.org Iterations / Second, More Is Better GpuOwl 7.2.1 Exponent: 77936867 NVIDIA RTX 4070 NVIDIA RTX 4070 SUPER 140 280 420 560 700 SE +/- 0.09, N = 3 SE +/- 0.00, N = 3 530.32 646.41
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 NVIDIA RTX 4070 SUPER 1.2488 2.4976 3.7464 4.9952 6.244 SE +/- 0.00, N = 3 SE +/- 0.01, N = 2 5.55 5.55
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 NVIDIA RTX 4070 SUPER 120 240 360 480 600 SE +/- 3.09, N = 3 546.76 557.73 MIN: 195.25 / MAX: 556.94 MIN: 513.63 / MAX: 563.37
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 NVIDIA RTX 4070 SUPER 40 80 120 160 200 SE +/- 0.36, N = 3 198.18 201.94 MIN: 181.27 / MAX: 200.06 MIN: 183.53 / MAX: 206.5
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 NVIDIA RTX 4070 SUPER 110 220 330 440 550 SE +/- 0.26, N = 3 458.39 509.45 MIN: 404.5 / MAX: 461.01 MIN: 430.1 / MAX: 516.48
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 NVIDIA RTX 4070 SUPER 110 220 330 440 550 SE +/- 0.13, N = 2 SE +/- 2.17, N = 2 459.94 501.50 MIN: 403.65 / MAX: 462.59 MIN: 415.94 / MAX: 510.69
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 NVIDIA RTX 4070 SUPER 110 220 330 440 550 SE +/- 0.27, N = 3 SE +/- 0.92, N = 3 458.36 507.45 MIN: 404.89 / MAX: 461.01 MIN: 423.41 / MAX: 512.88
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 NVIDIA RTX 4070 SUPER 40 80 120 160 200 SE +/- 0.29, N = 3 187.26 195.40 MIN: 179.81 / MAX: 188.21 MIN: 186.09 / MAX: 197.7
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 NVIDIA RTX 4070 SUPER 110 220 330 440 550 SE +/- 0.34, N = 3 SE +/- 1.39, N = 3 459.93 504.67 MIN: 403.65 / MAX: 462.74 MIN: 412.34 / MAX: 514.07
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 NVIDIA RTX 4070 SUPER 40 80 120 160 200 187.69 195.39 MIN: 182.03 / MAX: 188.31 MIN: 183.94 / MAX: 198.7
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 NVIDIA RTX 4070 SUPER 110 220 330 440 550 SE +/- 0.43, N = 2 SE +/- 4.43, N = 2 459.27 504.27 MIN: 405.48 / MAX: 461.88 MIN: 418.22 / MAX: 512.44
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 NVIDIA RTX 4070 SUPER 40 80 120 160 200 SE +/- 0.34, N = 3 SE +/- 0.51, N = 3 186.63 196.07 MIN: 180.51 / MAX: 187.79 MIN: 171.95 / MAX: 199.96
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 NVIDIA RTX 4070 SUPER 40 80 120 160 200 SE +/- 0.17, N = 3 SE +/- 1.14, N = 2 187.27 194.58 MIN: 179.9 / MAX: 188.08 MIN: 183.74 / MAX: 198.52
GpuOwl Exponent: 57885161 OpenBenchmarking.org Iterations / Second, More Is Better GpuOwl 7.2.1 Exponent: 57885161 NVIDIA RTX 4070 NVIDIA RTX 4070 SUPER 200 400 600 800 1000 SE +/- 0.00, N = 3 SE +/- 1.26, N = 3 714.80 869.07
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 NVIDIA RTX 4070 SUPER 40 80 120 160 200 SE +/- 0.05, N = 3 SE +/- 1.38, N = 2 187.51 195.30 MIN: 181.57 / MAX: 188.05 MIN: 182 / MAX: 199.43
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 NVIDIA RTX 4070 SUPER 20 40 60 80 100 SE +/- 0.55, N = 3 107.59 106.37 MIN: 98.77 / MAX: 109.43 MIN: 97.91 / MAX: 108.16
PyTorch Device: NVIDIA CUDA GPU - Batch Size: 16 - Model: Efficientnet_v2_l OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: NVIDIA CUDA GPU - Batch Size: 16 - Model: Efficientnet_v2_l NVIDIA RTX 4070 20 40 60 80 100 103.68 MIN: 96.86 / MAX: 105.56
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 NVIDIA RTX 4070 SUPER 20 40 60 80 100 102.90 102.60 MIN: 95.98 / MAX: 104.54 MIN: 94.84 / MAX: 104.25
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 NVIDIA RTX 4070 SUPER 20 40 60 80 100 SE +/- 0.45, N = 3 SE +/- 1.49, N = 2 101.55 102.60 MIN: 93.44 / MAX: 103.08 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 NVIDIA RTX 4070 SUPER 20 40 60 80 100 SE +/- 0.05, N = 2 101.24 103.17 MIN: 93.33 / MAX: 102.92 MIN: 95.79 / MAX: 105.15
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 NVIDIA RTX 4070 SUPER 20 40 60 80 100 SE +/- 0.39, N = 3 101.43 103.57 MIN: 93.27 / MAX: 103.58 MIN: 95.95 / MAX: 105.54
NCNN Target: Vulkan GPU - Model: mobilenet OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: Vulkan GPU - Model: mobilenet NVIDIA RTX 4070 NVIDIA RTX 4070 SUPER 3 6 9 12 15 SE +/- 0.21, N = 12 SE +/- 0.47, N = 9 7.20 8.62 MIN: 6.2 / MAX: 11.13 MIN: 6.42 / MAX: 1101.3 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 NVIDIA RTX 4070 NVIDIA RTX 4070 SUPER 1.0553 2.1106 3.1659 4.2212 5.2765 SE +/- 0.07, N = 12 SE +/- 0.44, N = 9 2.48 3.03 MIN: 2.02 / MAX: 5.82 MIN: 2.38 / MAX: 970.87 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 NVIDIA RTX 4070 NVIDIA RTX 4070 SUPER 2 4 6 8 10 SE +/- 0.08, N = 12 SE +/- 0.16, N = 9 2.15 2.25 MIN: 1.81 / MAX: 2.58 MIN: 1.75 / MAX: 343.7 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: shufflenet-v2 OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: Vulkan GPU - Model: shufflenet-v2 NVIDIA RTX 4070 NVIDIA RTX 4070 SUPER 0.5198 1.0396 1.5594 2.0792 2.599 SE +/- 0.09, N = 11 SE +/- 0.34, N = 8 2.08 2.31 MIN: 1.82 / MAX: 2.59 MIN: 1.76 / MAX: 421.42 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: mnasnet OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: Vulkan GPU - Model: mnasnet NVIDIA RTX 4070 NVIDIA RTX 4070 SUPER 0.8663 1.7326 2.5989 3.4652 4.3315 SE +/- 0.08, N = 8 SE +/- 1.31, N = 9 2.22 3.85 MIN: 1.83 / MAX: 2.54 MIN: 1.89 / MAX: 1093.29 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: efficientnet-b0 OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: Vulkan GPU - Model: efficientnet-b0 NVIDIA RTX 4070 NVIDIA RTX 4070 SUPER 1.1408 2.2816 3.4224 4.5632 5.704 SE +/- 0.09, N = 9 SE +/- 0.97, N = 9 3.46 5.07 MIN: 2.91 / MAX: 3.79 MIN: 3.22 / MAX: 1124.2 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: blazeface OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: Vulkan GPU - Model: blazeface NVIDIA RTX 4070 NVIDIA RTX 4070 SUPER 0.189 0.378 0.567 0.756 0.945 SE +/- 0.03, N = 9 SE +/- 0.04, N = 9 0.84 0.84 MIN: 0.64 / MAX: 0.96 MIN: 0.65 / MAX: 4.63 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: googlenet OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: Vulkan GPU - Model: googlenet NVIDIA RTX 4070 NVIDIA RTX 4070 SUPER 3 6 9 12 15 SE +/- 0.14, N = 9 SE +/- 1.21, N = 9 6.06 11.04 MIN: 5.33 / MAX: 8.36 MIN: 5.28 / MAX: 1769.19 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: vgg16 OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: Vulkan GPU - Model: vgg16 NVIDIA RTX 4070 NVIDIA RTX 4070 SUPER 30 60 90 120 150 SE +/- 13.24, N = 12 SE +/- 29.60, N = 9 45.52 117.81 MIN: 17.49 / MAX: 643.35 MIN: 17.16 / MAX: 647.67 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: resnet18 OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: Vulkan GPU - Model: resnet18 NVIDIA RTX 4070 NVIDIA RTX 4070 SUPER 3 6 9 12 15 SE +/- 0.73, N = 12 SE +/- 3.49, N = 9 5.11 8.97 MIN: 3.99 / MAX: 916.69 MIN: 3.94 / MAX: 922.04 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: alexnet OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: Vulkan GPU - Model: alexnet NVIDIA RTX 4070 NVIDIA RTX 4070 SUPER 4 8 12 16 20 SE +/- 1.70, N = 12 SE +/- 5.86, N = 9 5.78 16.17 MIN: 3.6 / MAX: 397.75 MIN: 3.52 / MAX: 436.52 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: resnet50 OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: Vulkan GPU - Model: resnet50 NVIDIA RTX 4070 NVIDIA RTX 4070 SUPER 10 20 30 40 50 SE +/- 0.10, N = 9 SE +/- 14.70, N = 9 8.24 46.26 MIN: 7.87 / MAX: 9.87 MIN: 7.71 / MAX: 1829.99 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: yolov4-tiny OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: Vulkan GPU - Model: yolov4-tiny NVIDIA RTX 4070 NVIDIA RTX 4070 SUPER 14 28 42 56 70 SE +/- 5.37, N = 12 SE +/- 10.56, N = 9 20.74 63.82 MIN: 10.3 / MAX: 854.36 MIN: 10.28 / MAX: 858.44 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: squeezenet_ssd OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: Vulkan GPU - Model: squeezenet_ssd NVIDIA RTX 4070 NVIDIA RTX 4070 SUPER 2 4 6 8 10 SE +/- 0.12, N = 12 SE +/- 1.76, N = 9 5.18 6.86 MIN: 4.67 / MAX: 6.88 MIN: 4.34 / MAX: 1630.01 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: regnety_400m OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: Vulkan GPU - Model: regnety_400m NVIDIA RTX 4070 NVIDIA RTX 4070 SUPER 3 6 9 12 15 SE +/- 0.24, N = 12 SE +/- 3.28, N = 9 6.21 11.11 MIN: 5.53 / MAX: 8.99 MIN: 5.49 / MAX: 4942.19 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: vision_transformer OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: Vulkan GPU - Model: vision_transformer NVIDIA RTX 4070 NVIDIA RTX 4070 SUPER 200 400 600 800 1000 SE +/- 61.31, N = 9 SE +/- 87.53, N = 9 281.56 844.61 MIN: 46.48 / MAX: 1913.33 MIN: 46.34 / MAX: 1866.93 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: FastestDet OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: Vulkan GPU - Model: FastestDet NVIDIA RTX 4070 NVIDIA RTX 4070 SUPER 0.6435 1.287 1.9305 2.574 3.2175 SE +/- 0.10, N = 9 SE +/- 0.29, N = 9 2.34 2.86 MIN: 2 / MAX: 3.86 MIN: 2.17 / MAX: 577.17 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Rodinia Test: OpenCL Particle Filter OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenCL Particle Filter NVIDIA RTX 4070 NVIDIA RTX 4070 SUPER 0.9221 1.8442 2.7663 3.6884 4.6105 SE +/- 0.008, N = 3 SE +/- 0.039, N = 4 4.098 3.480 1. (CXX) g++ options: -O2 -lOpenCL
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 NVIDIA RTX 4070 SUPER 2 4 6 8 10 SE +/- 0.01, N = 3 SE +/- 0.06, N = 13 6.21 5.57
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 NVIDIA RTX 4070 SUPER 4 8 12 16 20 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 14.86 12.60
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 NVIDIA RTX 4070 SUPER 3 6 9 12 15 SE +/- 0.03, N = 3 SE +/- 0.06, N = 13 11.03 9.45
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 NVIDIA RTX 4070 SUPER 13 26 39 52 65 SE +/- 0.04, N = 3 SE +/- 0.10, N = 3 58.44 51.30
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 NVIDIA RTX 4070 SUPER 4 8 12 16 20 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 16.55 14.29
NeatBench Acceleration: GPU OpenBenchmarking.org FPS, More Is Better NeatBench 5 Acceleration: GPU NVIDIA RTX 4070 NVIDIA RTX 4070 SUPER 900 1800 2700 3600 4500 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 4070 4070
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 NVIDIA RTX 4070 SUPER 5 10 15 20 25 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 18.20 19.80
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 NVIDIA RTX 4070 SUPER 12 24 36 48 60 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 48.52 52.81
LuxCoreRender Scene: DLSC - Acceleration: GPU OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender 2.6 Scene: DLSC - Acceleration: GPU NVIDIA RTX 4070 NVIDIA RTX 4070 SUPER 3 6 9 12 15 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 11.74 13.59 MIN: 11.35 / MAX: 11.83 MIN: 12.52 / MAX: 13.84
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 NVIDIA RTX 4070 SUPER 3 6 9 12 15 SE +/- 0.06, N = 3 SE +/- 0.08, N = 3 8.89 10.56 MIN: 3.32 / MAX: 10.26 MIN: 3.7 / MAX: 12.17
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 NVIDIA RTX 4070 SUPER 3 6 9 12 15 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 10.40 11.72 MIN: 8.31 / MAX: 13.9 MIN: 9.6 / MAX: 15.44
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 NVIDIA RTX 4070 SUPER 3 6 9 12 15 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 10.92 12.82 MIN: 4.45 / MAX: 12.42 MIN: 4.84 / MAX: 14.62
ProjectPhysX OpenCL-Benchmark Operation: FP32 Compute OpenBenchmarking.org TFLOPs/s, More Is Better ProjectPhysX OpenCL-Benchmark 1.2 Operation: FP32 Compute NVIDIA RTX 4070 NVIDIA RTX 4070 SUPER 9 18 27 36 45 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 31.77 38.59 1. (CXX) g++ options: -std=c++17 -pthread -lOpenCL
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 NVIDIA RTX 4070 SUPER 7 14 21 28 35 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 23.26 27.67 MIN: 20.92 / MAX: 24.3 MIN: 24.87 / MAX: 29.03
FAHBench OpenBenchmarking.org Ns Per Day, More Is Better FAHBench 2.3.2 NVIDIA RTX 4070 NVIDIA RTX 4070 SUPER 80 160 240 320 400 SE +/- 0.12, N = 3 SE +/- 0.39, N = 3 317.20 366.06
Hashcat Benchmark: MD5 OpenBenchmarking.org H/s, More Is Better Hashcat 6.2.4 Benchmark: MD5 NVIDIA RTX 4070 NVIDIA RTX 4070 SUPER 14000M 28000M 42000M 56000M 70000M SE +/- 33772046.30, N = 3 SE +/- 22430807.19, N = 3 56147866667 67583033333
Hashcat Benchmark: SHA1 OpenBenchmarking.org H/s, More Is Better Hashcat 6.2.4 Benchmark: SHA1 NVIDIA RTX 4070 NVIDIA RTX 4070 SUPER 5000M 10000M 15000M 20000M 25000M SE +/- 6318315.53, N = 3 SE +/- 5140363.15, N = 3 18202466667 22132600000
Hashcat Benchmark: 7-Zip OpenBenchmarking.org H/s, More Is Better Hashcat 6.2.4 Benchmark: 7-Zip NVIDIA RTX 4070 NVIDIA RTX 4070 SUPER 300K 600K 900K 1200K 1500K SE +/- 2062.63, N = 3 SE +/- 1991.93, N = 3 976967 1176467
Hashcat Benchmark: SHA-512 OpenBenchmarking.org H/s, More Is Better Hashcat 6.2.4 Benchmark: SHA-512 NVIDIA RTX 4070 NVIDIA RTX 4070 SUPER 700M 1400M 2100M 2800M 3500M SE +/- 1059874.21, N = 3 SE +/- 1530068.99, N = 3 2673300000 3232733333
Hashcat Benchmark: TrueCrypt RIPEMD160 + XTS OpenBenchmarking.org H/s, More Is Better Hashcat 6.2.4 Benchmark: TrueCrypt RIPEMD160 + XTS NVIDIA RTX 4070 NVIDIA RTX 4070 SUPER 200K 400K 600K 800K 1000K SE +/- 176.38, N = 3 SE +/- 633.33, N = 3 660967 802967
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 NVIDIA RTX 4070 SUPER 0.0169 0.0338 0.0507 0.0676 0.0845 SE +/- 0.00021, N = 3 SE +/- 0.00031, N = 3 0.07498 0.06791
OctaneBench Total Score OpenBenchmarking.org Score, More Is Better OctaneBench 2020.1 Total Score NVIDIA RTX 4070 NVIDIA RTX 4070 SUPER 160 320 480 640 800 648.00 720.97
FinanceBench Benchmark: Black-Scholes OpenCL OpenBenchmarking.org ms, Fewer Is Better FinanceBench 2016-07-25 Benchmark: Black-Scholes OpenCL NVIDIA RTX 4070 NVIDIA RTX 4070 SUPER 2 4 6 8 10 SE +/- 0.003, N = 3 SE +/- 0.114, N = 15 6.906 5.912 1. (CXX) g++ options: -O3 -march=native -fopenmp
cl-mem Benchmark: Copy OpenBenchmarking.org GB/s, More Is Better cl-mem 2017-01-13 Benchmark: Copy NVIDIA RTX 4070 NVIDIA RTX 4070 SUPER 70 140 210 280 350 SE +/- 0.09, N = 3 SE +/- 0.03, N = 3 330.3 331.8 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 NVIDIA RTX 4070 SUPER 100 200 300 400 500 SE +/- 0.00, N = 3 SE +/- 0.12, N = 3 446.3 446.2 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 NVIDIA RTX 4070 SUPER 90 180 270 360 450 SE +/- 0.55, N = 3 SE +/- 1.11, N = 3 406.7 407.5 1. (CC) gcc options: -O2 -flto -lOpenCL
clpeak OpenCL Test: Integer Compute INT OpenBenchmarking.org GIOPS, More Is Better clpeak 1.1.2 OpenCL Test: Integer Compute INT NVIDIA RTX 4070 NVIDIA RTX 4070 SUPER 4K 8K 12K 16K 20K SE +/- 15.26, N = 3 SE +/- 3.14, N = 3 14555.19 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 NVIDIA RTX 4070 SUPER 8K 16K 24K 32K 40K SE +/- 5.46, N = 3 SE +/- 0.99, N = 3 28479.39 35492.69 1. (CXX) g++ options: -O3
clpeak OpenCL Test: Double-Precision Double OpenBenchmarking.org GFLOPS, More Is Better clpeak 1.1.2 OpenCL Test: Double-Precision Double NVIDIA RTX 4070 NVIDIA RTX 4070 SUPER 140 280 420 560 700 SE +/- 0.21, N = 3 SE +/- 0.98, N = 3 515.17 630.11 1. (CXX) g++ options: -O3
clpeak OpenCL Test: Global Memory Bandwidth OpenBenchmarking.org GBPS, More Is Better clpeak 1.1.2 OpenCL Test: Global Memory Bandwidth NVIDIA RTX 4070 NVIDIA RTX 4070 SUPER 90 180 270 360 450 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 437.21 437.65 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 NVIDIA RTX 4070 SUPER 130M 260M 390M 520M 650M SE +/- 1783157.89, N = 3 SE +/- 467034.80, N = 3 516770131.2 587219538.2 1. (CC) gcc options: -O3 -lm -ftree-vectorize -funroll-loops -lglut -lOpenCL -lGL
ViennaCL Test: CPU BLAS - sCOPY OpenBenchmarking.org GB/s, More Is Better ViennaCL 1.7.1 Test: CPU BLAS - sCOPY NVIDIA RTX 4070 NVIDIA RTX 4070 SUPER 30 60 90 120 150 SE +/- 1.20, N = 3 SE +/- 1.20, N = 3 131 132 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 NVIDIA RTX 4070 SUPER 30 60 90 120 150 SE +/- 4.81, N = 3 SE +/- 2.19, N = 3 153 156 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 NVIDIA RTX 4070 SUPER 40 80 120 160 200 SE +/- 3.76, N = 3 SE +/- 2.73, N = 3 166 165 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 NVIDIA RTX 4070 SUPER 16 32 48 64 80 SE +/- 0.25, N = 3 SE +/- 0.32, N = 3 71.0 70.8 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 NVIDIA RTX 4070 SUPER 20 40 60 80 100 SE +/- 0.44, N = 3 SE +/- 0.12, N = 3 86.8 87.2 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 NVIDIA RTX 4070 SUPER 20 40 60 80 100 SE +/- 0.22, N = 3 SE +/- 0.09, N = 3 96.7 96.8 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 NVIDIA RTX 4070 SUPER 20 40 60 80 100 SE +/- 0.33, N = 3 SE +/- 0.33, N = 3 103 102 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 NVIDIA RTX 4070 SUPER 20 40 60 80 100 SE +/- 0.33, N = 3 SE +/- 0.33, N = 3 109 109 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 NVIDIA RTX 4070 SUPER 30 60 90 120 150 SE +/- 1.86, N = 3 SE +/- 4.04, N = 3 122 119 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 NVIDIA RTX 4070 SUPER 30 60 90 120 150 SE +/- 1.76, N = 3 SE +/- 2.08, N = 3 122 117 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 NVIDIA RTX 4070 SUPER 30 60 90 120 150 SE +/- 2.31, N = 3 SE +/- 1.00, N = 2 121 115 1. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
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 NVIDIA RTX 4070 SUPER 30 60 90 120 150 SE +/- 1.20, N = 3 SE +/- 2.08, N = 3 118 122 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 NVIDIA RTX 4070 SUPER 70 140 210 280 350 SE +/- 0.33, N = 3 SE +/- 0.33, N = 3 330 334 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 NVIDIA RTX 4070 SUPER 90 180 270 360 450 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 389 392 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 NVIDIA RTX 4070 SUPER 80 160 240 320 400 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 362 370 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 NVIDIA RTX 4070 SUPER 90 180 270 360 450 SE +/- 0.00, N = 3 SE +/- 0.33, N = 3 423 423 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 NVIDIA RTX 4070 SUPER 100 200 300 400 500 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 455 437 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 NVIDIA RTX 4070 SUPER 100 200 300 400 500 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 456 458 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 NVIDIA RTX 4070 SUPER 50 100 150 200 250 SE +/- 0.33, N = 3 SE +/- 0.33, N = 3 209 210 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 NVIDIA RTX 4070 SUPER 80 160 240 320 400 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 387 389 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 NVIDIA RTX 4070 SUPER 120 240 360 480 600 SE +/- 0.33, N = 3 SE +/- 0.00, N = 3 473 577 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 NVIDIA RTX 4070 SUPER 130 260 390 520 650 SE +/- 0.33, N = 3 SE +/- 0.00, N = 3 477 584 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 NVIDIA RTX 4070 SUPER 130 260 390 520 650 SE +/- 0.33, N = 3 SE +/- 0.00, N = 3 494 599 1. (CXX) g++ options: -fopenmp -O3 -rdynamic -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 NVIDIA RTX 4070 SUPER 0.1397 0.2794 0.4191 0.5588 0.6985 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 0.510 0.621 1. (CXX) g++ options: -std=c++17 -pthread -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 NVIDIA RTX 4070 SUPER 130 260 390 520 650 SE +/- 0.33, N = 3 SE +/- 0.00, N = 3 502 613 1. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
Libplacebo Test: deband_heavy OpenBenchmarking.org FPS, More Is Better Libplacebo 5.229.1 Test: deband_heavy NVIDIA RTX 4070 NVIDIA RTX 4070 SUPER 500 1000 1500 2000 2500 SE +/- 0.12, N = 3 SE +/- 2.26, N = 3 1843.26 2186.70 1. (CXX) g++ options: -lm -pthread -ldl -fvisibility=hidden -std=c++20 -O2 -fno-math-errno -fPIC -MD -MQ -MF
Libplacebo Test: polar_nocompute OpenBenchmarking.org FPS, More Is Better Libplacebo 5.229.1 Test: polar_nocompute NVIDIA RTX 4070 NVIDIA RTX 4070 SUPER 500 1000 1500 2000 2500 SE +/- 0.01, N = 3 SE +/- 0.24, N = 3 1968.37 2327.55 1. (CXX) g++ options: -lm -pthread -ldl -fvisibility=hidden -std=c++20 -O2 -fno-math-errno -fPIC -MD -MQ -MF
Libplacebo Test: hdr_peakdetect OpenBenchmarking.org FPS, More Is Better Libplacebo 5.229.1 Test: hdr_peakdetect NVIDIA RTX 4070 NVIDIA RTX 4070 SUPER 700 1400 2100 2800 3500 SE +/- 11.75, N = 3 SE +/- 3.65, N = 3 3310.02 3292.37 1. (CXX) g++ options: -lm -pthread -ldl -fvisibility=hidden -std=c++20 -O2 -fno-math-errno -fPIC -MD -MQ -MF
Libplacebo Test: hdr_lut OpenBenchmarking.org FPS, More Is Better Libplacebo 5.229.1 Test: hdr_lut NVIDIA RTX 4070 NVIDIA RTX 4070 SUPER 800 1600 2400 3200 4000 SE +/- 10.06, N = 3 SE +/- 12.09, N = 3 3927.11 3905.98 1. (CXX) g++ options: -lm -pthread -ldl -fvisibility=hidden -std=c++20 -O2 -fno-math-errno -fPIC -MD -MQ -MF
Libplacebo Test: av1_grain_lap OpenBenchmarking.org FPS, More Is Better Libplacebo 5.229.1 Test: av1_grain_lap NVIDIA RTX 4070 NVIDIA RTX 4070 SUPER 900 1800 2700 3600 4500 SE +/- 66.69, N = 3 SE +/- 5.52, N = 3 4103.40 4171.00 1. (CXX) g++ options: -lm -pthread -ldl -fvisibility=hidden -std=c++20 -O2 -fno-math-errno -fPIC -MD -MQ -MF
RealSR-NCNN Scale: 4x - TAA: No OpenBenchmarking.org Seconds, Fewer Is Better RealSR-NCNN 20200818 Scale: 4x - TAA: No NVIDIA RTX 4070 NVIDIA RTX 4070 SUPER 2 4 6 8 10 SE +/- 0.006, N = 3 SE +/- 0.150, N = 15 7.092 6.323
RealSR-NCNN Scale: 4x - TAA: Yes OpenBenchmarking.org Seconds, Fewer Is Better RealSR-NCNN 20200818 Scale: 4x - TAA: Yes NVIDIA RTX 4070 NVIDIA RTX 4070 SUPER 10 20 30 40 50 SE +/- 0.23, N = 3 SE +/- 0.02, N = 3 42.85 34.89
VkFFT Test: FFT + iFFT R2C / C2R OpenBenchmarking.org Benchmark Score, More Is Better VkFFT 1.2.31 Test: FFT + iFFT R2C / C2R NVIDIA RTX 4070 NVIDIA RTX 4070 SUPER 12K 24K 36K 48K 60K SE +/- 745.02, N = 13 SE +/- 702.53, N = 15 47097 54794 1. (CXX) g++ options: -O3 -lrt
VkFFT Test: FFT + iFFT C2C 1D batched in half precision OpenBenchmarking.org Benchmark Score, More Is Better VkFFT 1.2.31 Test: FFT + iFFT C2C 1D batched in half precision NVIDIA RTX 4070 NVIDIA RTX 4070 SUPER 30K 60K 90K 120K 150K SE +/- 1301.92, N = 3 SE +/- 159.17, N = 3 137762 131705 1. (CXX) g++ options: -O3 -lrt
VkFFT Test: FFT + iFFT C2C Bluestein in single precision OpenBenchmarking.org Benchmark Score, More Is Better VkFFT 1.2.31 Test: FFT + iFFT C2C Bluestein in single precision NVIDIA RTX 4070 NVIDIA RTX 4070 SUPER 3K 6K 9K 12K 15K SE +/- 52.09, N = 3 SE +/- 102.52, N = 3 13714 15166 1. (CXX) g++ options: -O3 -lrt
VkFFT Test: FFT + iFFT C2C 1D batched in double precision OpenBenchmarking.org Benchmark Score, More Is Better VkFFT 1.2.31 Test: FFT + iFFT C2C 1D batched in double precision NVIDIA RTX 4070 NVIDIA RTX 4070 SUPER 5K 10K 15K 20K 25K SE +/- 125.94, N = 3 SE +/- 146.69, N = 3 22390 24317 1. (CXX) g++ options: -O3 -lrt
VkFFT Test: FFT + iFFT C2C 1D batched in single precision OpenBenchmarking.org Benchmark Score, More Is Better VkFFT 1.2.31 Test: FFT + iFFT C2C 1D batched in single precision NVIDIA RTX 4070 NVIDIA RTX 4070 SUPER 17K 34K 51K 68K 85K SE +/- 13.72, N = 3 SE +/- 7.94, N = 3 77774 73929 1. (CXX) g++ options: -O3 -lrt
VkFFT Test: FFT + iFFT C2C multidimensional in single precision OpenBenchmarking.org Benchmark Score, More Is Better VkFFT 1.2.31 Test: FFT + iFFT C2C multidimensional in single precision NVIDIA RTX 4070 NVIDIA RTX 4070 SUPER 11K 22K 33K 44K 55K SE +/- 476.57, N = 5 SE +/- 407.19, N = 15 47212 50299 1. (CXX) g++ options: -O3 -lrt
VkFFT Test: FFT + iFFT C2C Bluestein benchmark in double precision OpenBenchmarking.org Benchmark Score, More Is Better VkFFT 1.2.31 Test: FFT + iFFT C2C Bluestein benchmark in double precision NVIDIA RTX 4070 NVIDIA RTX 4070 SUPER 1000 2000 3000 4000 5000 SE +/- 4.51, N = 3 SE +/- 12.55, N = 3 3886 4451 1. (CXX) g++ options: -O3 -lrt
VkFFT Test: FFT + iFFT C2C 1D batched in single precision, no reshuffling OpenBenchmarking.org Benchmark Score, More Is Better VkFFT 1.2.31 Test: FFT + iFFT C2C 1D batched in single precision, no reshuffling NVIDIA RTX 4070 NVIDIA RTX 4070 SUPER 20K 40K 60K 80K 100K SE +/- 5.84, N = 3 SE +/- 37.77, N = 3 79057 75078 1. (CXX) g++ options: -O3 -lrt
VkResample Upscale: 2x - Precision: Double OpenBenchmarking.org ms, Fewer Is Better VkResample 1.0 Upscale: 2x - Precision: Double NVIDIA RTX 4070 NVIDIA RTX 4070 SUPER 90 180 270 360 450 SE +/- 0.77, N = 3 SE +/- 0.30, N = 3 415.16 339.59 1. (CXX) g++ options: -O3
VkResample Upscale: 2x - Precision: Single OpenBenchmarking.org ms, Fewer Is Better VkResample 1.0 Upscale: 2x - Precision: Single NVIDIA RTX 4070 NVIDIA RTX 4070 SUPER 5 10 15 20 25 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 18.02 18.49 1. (CXX) g++ options: -O3
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 NVIDIA RTX 4070 SUPER 0.7128 1.4256 2.1384 2.8512 3.564 SE +/- 0.028, N = 3 SE +/- 0.014, N = 3 3.168 2.855
Phoronix Test Suite v10.8.5