/root/outfile

KVM testing on Debian 12 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 2403266-NE-ROOTOUTFI93
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Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
NVIDIA RTX 4000 Ada Generation
March 26
  7 Hours, 52 Minutes
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/root/outfileOpenBenchmarking.orgPhoronix Test SuiteAMD EPYC 9474F 48-Core (24 Cores)Linode Compute InstanceIntel 82G33/G31/P35/P31 + ICH98 x 16 GB RAM QEMUQEMU HDD + 2748GB QEMU HDDNVIDIA RTX 4000 Ada Generation 20GBQEMU MonitorRed Hat Virtio deviceDebian 126.1.0-18-amd64 (x86_64)X ServerNVIDIAGCC 12.2.0ext41280x800KVMProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelDisplay ServerDisplay DriverCompilerFile-SystemScreen ResolutionSystem Layer/root/outfile BenchmarksSystem Logs- Transparent Huge Pages: always- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-12-bTRWOB/gcc-12-12.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-bTRWOB/gcc-12-12.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v - CPU Microcode: 0xa101144- BAR1 / Visible vRAM Size: 256 MiB - vBIOS Version: 95.04.5c.00.0d - Python 3.11.2- 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: Mitigation of safe RET no microcode + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: disabled RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

/root/outfilencnn: Vulkan GPU - vision_transformerncnn: Vulkan GPU - resnet50ncnn: Vulkan GPU - vgg16viennacl: CPU BLAS - dGEMM-TTviennacl: CPU BLAS - dGEMM-TNviennacl: CPU BLAS - dGEMM-NTviennacl: CPU BLAS - dGEMM-NNviennacl: CPU BLAS - dGEMV-Tviennacl: CPU BLAS - dGEMV-Nviennacl: CPU BLAS - dDOTviennacl: CPU BLAS - dAXPYviennacl: CPU BLAS - dCOPYviennacl: CPU BLAS - sDOTviennacl: CPU BLAS - sAXPYluxcorerender: Rainbow Colors and Prism - GPUluxcorerender: Orange Juice - GPUluxcorerender: Danish Mood - GPUhashcat: TrueCrypt RIPEMD160 + XTShashcat: SHA-512hashcat: 7-Ziphashcat: SHA1ncnn: Vulkan GPU - FastestDetncnn: Vulkan GPU - regnety_400mncnn: Vulkan GPU - squeezenet_ssdncnn: Vulkan GPU - yolov4-tinyncnn: Vulkan GPUv2-yolov3v2-yolov3 - mobilenetv2-yolov3ncnn: Vulkan GPU - alexnetncnn: Vulkan GPU - resnet18ncnn: Vulkan GPU - googlenetncnn: Vulkan GPU - blazefacencnn: Vulkan GPU - efficientnet-b0ncnn: Vulkan GPU - mnasnetncnn: Vulkan GPU - shufflenet-v2ncnn: Vulkan GPU-v3-v3 - mobilenet-v3ncnn: Vulkan GPU-v2-v2 - mobilenet-v2ncnn: Vulkan GPU - mobilenetviennacl: CPU BLAS - sCOPYluxcorerender: LuxCore Benchmark - GPUluxcorerender: DLSC - GPUhashcat: MD5NVIDIA RTX 4000 Ada Generation54.3015.2825.6952.054.249.851.518216415023915924968362.8028.0926.37229000090965666673140033626057000007.3313.4112.4322.0914.166.267.8315.142.397.365.356.545.495.8314.1641322.5629.41119277887500OpenBenchmarking.org

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.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: vision_transformerNVIDIA RTX 4000 Ada Generation1224364860SE +/- 0.31, N = 1554.30MIN: 51.11 / MAX: 79.521. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: resnet50NVIDIA RTX 4000 Ada Generation48121620SE +/- 0.19, N = 1515.28MIN: 13.92 / MAX: 26.671. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: vgg16NVIDIA RTX 4000 Ada Generation612182430SE +/- 0.36, N = 1525.69MIN: 22.3 / MAX: 38.641. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-TTNVIDIA RTX 4000 Ada Generation1224364860SE +/- 0.03, N = 1552.01. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-TNNVIDIA RTX 4000 Ada Generation1224364860SE +/- 0.03, N = 1554.21. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-NTNVIDIA RTX 4000 Ada Generation1122334455SE +/- 0.03, N = 1549.81. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-NNNVIDIA RTX 4000 Ada Generation1224364860SE +/- 0.20, N = 1551.51. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMV-TNVIDIA RTX 4000 Ada Generation4080120160200SE +/- 1.12, N = 151821. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMV-NNVIDIA RTX 4000 Ada Generation4080120160200SE +/- 0.63, N = 151641. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dDOTNVIDIA RTX 4000 Ada Generation306090120150SE +/- 0.45, N = 151501. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dAXPYNVIDIA RTX 4000 Ada Generation50100150200250SE +/- 0.59, N = 152391. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dCOPYNVIDIA RTX 4000 Ada Generation4080120160200SE +/- 0.43, N = 151591. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - sDOTNVIDIA RTX 4000 Ada Generation50100150200250SE +/- 0.52, N = 152491. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - sAXPYNVIDIA RTX 4000 Ada Generation150300450600750SE +/- 8.67, N = 156831. (CXX) g++ options: -fopenmp -O3 -rdynamic -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: Rainbow Colors and Prism - Acceleration: GPUNVIDIA RTX 4000 Ada Generation1428425670SE +/- 0.05, N = 362.80MIN: 54.04 / MAX: 69.32

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Orange Juice - Acceleration: GPUNVIDIA RTX 4000 Ada Generation714212835SE +/- 0.32, N = 328.09MIN: 23.05 / MAX: 38.09

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Danish Mood - Acceleration: GPUNVIDIA RTX 4000 Ada Generation612182430SE +/- 0.36, N = 326.37MIN: 9.19 / MAX: 31.84

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: TrueCrypt RIPEMD160 + XTSNVIDIA RTX 4000 Ada Generation500K1000K1500K2000K2500KSE +/- 18013.70, N = 32290000

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: SHA-512NVIDIA RTX 4000 Ada Generation2000M4000M6000M8000M10000MSE +/- 17866666.67, N = 39096566667

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: 7-ZipNVIDIA RTX 4000 Ada Generation700K1400K2100K2800K3500KSE +/- 8046.60, N = 33140033

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: SHA1NVIDIA RTX 4000 Ada Generation13000M26000M39000M52000M65000MSE +/- 47379461.09, N = 362605700000

Chaos Group V-RAY

This is a test of Chaos Group's V-RAY benchmark. V-RAY is a commercial renderer that can integrate with various creator software products like SketchUp and 3ds Max. The V-RAY benchmark is standalone and supports CPU and NVIDIA CUDA/RTX based rendering. Learn more via the OpenBenchmarking.org test page.

Mode: NVIDIA CUDA GPU

NVIDIA RTX 4000 Ada Generation: The test quit with a non-zero exit status.

Mode: NVIDIA RTX GPU

NVIDIA RTX 4000 Ada Generation: The test quit with a non-zero exit status.

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.

Acceleration: GPU

NVIDIA RTX 4000 Ada Generation: The test run did not produce a result.

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.

Blend File: Pabellon Barcelona - Compute: NVIDIA OptiX

NVIDIA RTX 4000 Ada Generation: The test quit with a non-zero exit status. E: Error: Found no Cycles device of the specified type

Blend File: Barbershop - Compute: NVIDIA OptiX

NVIDIA RTX 4000 Ada Generation: The test quit with a non-zero exit status. E: Error: Not freed memory blocks: 2, total unfreed memory 0.000107 MB

Blend File: Fishy Cat - Compute: NVIDIA OptiX

NVIDIA RTX 4000 Ada Generation: The test quit with a non-zero exit status. E: Error: Found no Cycles device of the specified type

Blend File: Classroom - Compute: NVIDIA OptiX

NVIDIA RTX 4000 Ada Generation: The test quit with a non-zero exit status. E: Error: Found no Cycles device of the specified type

Blend File: BMW27 - Compute: NVIDIA OptiX

NVIDIA RTX 4000 Ada Generation: The test quit with a non-zero exit status. E: Error: Found no Cycles device of the specified type

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.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: FastestDetNVIDIA RTX 4000 Ada Generation246810SE +/- 0.58, N = 157.33MIN: 3.82 / MAX: 19.971. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: regnety_400mNVIDIA RTX 4000 Ada Generation3691215SE +/- 0.27, N = 1513.41MIN: 11.82 / MAX: 49.911. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: squeezenet_ssdNVIDIA RTX 4000 Ada Generation3691215SE +/- 0.26, N = 1512.43MIN: 10.15 / MAX: 24.751. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: yolov4-tinyNVIDIA RTX 4000 Ada Generation510152025SE +/- 0.73, N = 1522.09MIN: 17.94 / MAX: 35.81. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPUv2-yolov3v2-yolov3 - Model: mobilenetv2-yolov3NVIDIA RTX 4000 Ada Generation48121620SE +/- 0.28, N = 1514.16MIN: 12.09 / MAX: 25.621. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: alexnetNVIDIA RTX 4000 Ada Generation246810SE +/- 0.13, N = 156.26MIN: 4.81 / MAX: 17.651. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: resnet18NVIDIA RTX 4000 Ada Generation246810SE +/- 0.15, N = 157.83MIN: 6.68 / MAX: 18.971. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: googlenetNVIDIA RTX 4000 Ada Generation48121620SE +/- 0.24, N = 1515.14MIN: 12.71 / MAX: 27.471. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: blazefaceNVIDIA RTX 4000 Ada Generation0.53781.07561.61342.15122.689SE +/- 0.09, N = 152.39MIN: 1.84 / MAX: 6.031. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: efficientnet-b0NVIDIA RTX 4000 Ada Generation246810SE +/- 0.14, N = 157.36MIN: 6.42 / MAX: 23.431. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: mnasnetNVIDIA RTX 4000 Ada Generation1.20382.40763.61144.81526.019SE +/- 0.18, N = 155.35MIN: 4.17 / MAX: 16.871. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: shufflenet-v2NVIDIA RTX 4000 Ada Generation246810SE +/- 0.14, N = 156.54MIN: 5.57 / MAX: 20.671. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3NVIDIA RTX 4000 Ada Generation1.23532.47063.70594.94126.1765SE +/- 0.23, N = 155.49MIN: 4.05 / MAX: 17.111. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2NVIDIA RTX 4000 Ada Generation1.31182.62363.93545.24726.559SE +/- 0.17, N = 155.83MIN: 4.81 / MAX: 15.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: mobilenetNVIDIA RTX 4000 Ada Generation48121620SE +/- 0.28, N = 1514.16MIN: 12.09 / MAX: 25.621. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 1000

NVIDIA RTX 4000 Ada Generation: The test quit with a non-zero exit status. E: ./caffe: 3: ./tools/caffe: not found

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

NVIDIA RTX 4000 Ada Generation: The test quit with a non-zero exit status. E: ./caffe: 3: ./tools/caffe: not found

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

NVIDIA RTX 4000 Ada Generation: The test quit with a non-zero exit status. E: ./caffe: 3: ./tools/caffe: not found

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

NVIDIA RTX 4000 Ada Generation: The test quit with a non-zero exit status. E: ./caffe: 3: ./tools/caffe: not found

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

NVIDIA RTX 4000 Ada Generation: The test quit with a non-zero exit status. E: ./caffe: 3: ./tools/caffe: not found

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

NVIDIA RTX 4000 Ada Generation: The test quit with a non-zero exit status. E: ./caffe: 3: ./tools/caffe: not found

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 RTX 4000 Ada Generation90180270360450SE +/- 20.63, N = 154131. (CXX) g++ options: -fopenmp -O3 -rdynamic -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: LuxCore Benchmark - Acceleration: GPUNVIDIA RTX 4000 Ada Generation510152025SE +/- 2.05, N = 1222.56MAX: 31.86

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: DLSC - Acceleration: GPUNVIDIA RTX 4000 Ada Generation714212835SE +/- 2.67, N = 1229.41MAX: 32.52

FAHBench

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

NVIDIA RTX 4000 Ada Generation: The test run did not produce a result.

RedShift Demo

This is a test of MAXON's RedShift demo build that currently requires NVIDIA GPU acceleration. Learn more via the OpenBenchmarking.org test page.

NVIDIA RTX 4000 Ada Generation: The test quit with a non-zero exit status. E: ./redshift: 3: /usr/redshift/bin/redshiftBenchmark: not found

cl-mem

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

Benchmark: Write

NVIDIA RTX 4000 Ada Generation: The test quit with a non-zero exit status.

Benchmark: Read

NVIDIA RTX 4000 Ada Generation: The test quit with a non-zero exit status.

Benchmark: Copy

NVIDIA RTX 4000 Ada Generation: The test quit with a non-zero exit status.

Mixbench

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

Backend: NVIDIA CUDA - Benchmark: Single Precision

NVIDIA RTX 4000 Ada Generation: The test quit with a non-zero exit status. E: ./mixbench: 3: ./mixbench-cuda-ro: not found

Backend: NVIDIA CUDA - Benchmark: Double Precision

NVIDIA RTX 4000 Ada Generation: The test quit with a non-zero exit status. E: ./mixbench: 3: ./mixbench-cuda-ro: not found

Backend: NVIDIA CUDA - Benchmark: Half Precision

NVIDIA RTX 4000 Ada Generation: The test quit with a non-zero exit status. E: ./mixbench: 3: ./mixbench-cuda-ro: not found

Backend: NVIDIA CUDA - Benchmark: Integer

NVIDIA RTX 4000 Ada Generation: The test quit with a non-zero exit status. E: ./mixbench: 3: ./mixbench-cuda-ro: not found

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 RTX 4000 Ada Generation30000M60000M90000M120000M150000MSE +/- 18391087391.23, N = 16119277887500