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Rocm vs opencl benchmark
Rocm vs opencl benchmark









rocm vs opencl benchmark
  1. #Rocm vs opencl benchmark install
  2. #Rocm vs opencl benchmark driver

amdgpu-install -pro -opencl=pal -no-32įilename: /lib/modules/5.4.0-42-generic/updates/dkms/amdgpu.koĪuthor: AMD linux driver team darktable-cltest: device 0 `gfx1010' allows GPU memory allocations of up to 6949MB

#Rocm vs opencl benchmark install

ROCm with Upstream Kernel Drivers, `apt install rocm-dev`įilename: /lib/modules/5.9.0-050900rc6-generic/kernel/drivers/gpu/drm/amd/amdgpu/amdgpu.ko GeForce GTX 1070 8GB device 0 `GeForce GTX 1070' allows GPU memory allocations of up to 2029MB Most tests on current Ubuntu (though sometimes with the latest mainline kernel) and mostly stable versions of darktable.ĭarktable-cli bench.SRW test.jpg -core -disable-opencl -d perfĭarktable-cli bench.SRW test.jpg -core -d perf -d opencl CPU / GPU

rocm vs opencl benchmark

On darktable-user mailing list sometime in 2016, copies here (20 Mpx RAW from Samsung NX300). Processing RAW image file bench.srw with darktable device 0 `GeForce GTX 1050' allows GPU memory allocations of up to 498MB GeForce GTX 1050 2GB (GP107) CUDA cores: 640 Ryzen Threadripper 2970WX 24C/48T 4.2GHz, 64GB RAM, NVMe SSD, Ubuntu 19.10 (toby) TITAN X 12GB (Pascal GP102) device 1 `TITAN X (Pascal)' allows GPU memory allocations of up to 3049MB GeForce GTX 1080 8GB (GP104) device 0 `GeForce GTX 1080' allows GPU memory allocations of up to 2029MB device 0 `GeForce RTX 2070' allows GPU memory allocations of up to 1995MB Xeon E5-2643 8C/16T 3.3GHz, 128GB RAM, Linux 5.4, Ubuntu 20.04.1 (molly)ĪMDGPU-PRO 20.45-1164792, `amdgpu-install -opencl=legacy -headless -no-dkms` device 0 `Ellesmere' allows GPU memory allocations of up to 6743MBĭEVICE_VERSION: OpenCL 1.2 AMD-APP (3188.4) Compute Units: 64, Stream Processors: 4096.ĪMDGPU-PRO 20.45-1164792, `amdgpu-install -opencl=pal -headless` device 0 `gfx900' allows GPU memory allocations of up to 6949MB GeForce GTX 1070 8GB (GP104) device 0 `GeForce GTX 1070' allows GPU memory allocations of up to 2029MB Ry 6C/12T, 32GiB RAM NVMe SSD, Linux 5.8, Ubuntu 20.10 (storas) ROCm Package from a Debian Repository, `apt install rocm-dkms` device 0 `gfx1010' allows GPU memory allocations of up to 6949MB `apt install intel-opencl-icd` device 0 `Intel(R) Gen12LP HD Graphics NEO' allows GPU memory allocations of up to 4095MB GeForce RTX 2070 8GB (TU106) device 0 `NVIDIA GeForce RTX 2070' allows GPU memory allocations of up to 1993MBĬore i5-1135G7 4C/8T, 16GiB RAM, NVMe SSD, Linux 5.6, Ubuntu 20.04.2 (gimli)

rocm vs opencl benchmark

Ry 6C/12T, 32GiB RAM NVMe SSD, Linux 5.11, Ubuntu 21.04 (storas) Ryzen 9 3900X 12C/24T 16GB RAM, NVMe SSD, Linux 5.11, Ubuntu 21.04, ROCm 4.3 (hilbert)Īmdgpu driver from stock kernel + ROCm utilities `apt install rocm-dev` device 0 `gfx1010:xnack-' allows GPU memory allocations of up to 6949MB GeForce RTX 2070 8GB (TU106) device 0 `NVIDIA GeForce RTX 2070' allows GPU memory allocations of up to 1987MB Mostly stable versions of darktable, default settings in darktablerc.ĭarktable-cli arecibo.orf test.jpg -core -disable-opencl -d perfĭarktable-cli arecibo.orf test.jpg -core -d perf -d opencl CPU / GPU Most tests on current Ubuntu (though sometimes with the latest mainline kernel), Processing RAW image file arecibo.orf with darktable GPU benchmarks in darktable Random Results Using “scene-referred” darktable workflow and recommended modules











Rocm vs opencl benchmark