OpenCL NVIDIA Linux

Benchmarks by Michael Larabel.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2303114-PTS-OPENCLNV76
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GTX 1660 SUPER
March 11 2023
  1 Hour, 50 Minutes
RTX 2060
March 10 2023
  1 Hour, 18 Minutes
RTX 3060
March 10 2023
  1 Hour, 9 Minutes
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  1 Hour, 26 Minutes

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GTX 1660 SUPER

Processor: AMD Ryzen 9 7950X 16-Core @ 4.50GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG CROSSHAIR X670E HERO (9922 BIOS), Chipset: AMD Device 14d8, Memory: 32GB, Disk: Western Digital WD_BLACK SN850X 1000GB + 2000GB, Graphics: eVGA NVIDIA GeForce GTX 1660 SUPER 6GB, Audio: NVIDIA TU116 HD Audio, Monitor: ASUS MG28U, Network: Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411

OS: Ubuntu 23.04, Kernel: 6.2.2-060202-generic (x86_64), Desktop: GNOME Shell 43.2, Display Server: X Server 1.21.1.7, Display Driver: NVIDIA 530.30.02, OpenGL: 4.6.0, OpenCL: OpenCL 2.1 AMD-APP (3513.0) + OpenCL 3.0 CUDA 12.1.68, Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 3840x2160

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --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-EzbZRD/gcc-12-12.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-EzbZRD/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
Processor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa601203
Graphics Notes: BAR1 / Visible vRAM Size: 256 MiB - vBIOS Version: 90.16.42.00.86
OpenCL Notes: GPU Compute Cores: 1408
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: 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 Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

RTX 2060

Changed Graphics to NVIDIA GeForce RTX 2060 6GB.

Graphics Change: BAR1 / Visible vRAM Size: 256 MiB - vBIOS Version: 90.06.2e.00.05
OpenCL Change: GPU Compute Cores: 1920

RTX 3060

Changed Graphics to eVGA NVIDIA GeForce RTX 3060 12GB.

Graphics Change: BAR1 / Visible vRAM Size: 16384 MiB - vBIOS Version: 94.06.14.40.46
OpenCL Change: GPU Compute Cores: 3584

OpenCL NVIDIA LinuxOpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen 9 7950X 16-Core @ 4.50GHz (16 Cores / 32 Threads)ASUS ROG CROSSHAIR X670E HERO (9922 BIOS)AMD Device 14d832GBWestern Digital WD_BLACK SN850X 1000GB + 2000GBeVGA NVIDIA GeForce GTX 1660 SUPER 6GBNVIDIA GeForce RTX 2060 6GBeVGA NVIDIA GeForce RTX 3060 12GBNVIDIA TU116 HD AudioNVIDIA TU106 HD AudioNVIDIA GA106 HD AudioASUS MG28UIntel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411Ubuntu 23.046.2.2-060202-generic (x86_64)GNOME Shell 43.2X Server 1.21.1.7NVIDIA 530.30.024.6.0OpenCL 2.1 AMD-APP (3513.0) + OpenCL 3.0 CUDA 12.1.68GCC 12.2.0ext43840x2160ProcessorMotherboardChipsetMemoryDiskGraphicsAudiosMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLCompilerFile-SystemScreen ResolutionOpenCL NVIDIA Linux BenchmarksSystem Logs- Transparent Huge Pages: madvise- --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-EzbZRD/gcc-12-12.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-EzbZRD/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 - Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa601203 - GTX 1660 SUPER: BAR1 / Visible vRAM Size: 256 MiB - vBIOS Version: 90.16.42.00.86 - RTX 2060: BAR1 / Visible vRAM Size: 256 MiB - vBIOS Version: 90.06.2e.00.05- RTX 3060: BAR1 / Visible vRAM Size: 16384 MiB - vBIOS Version: 94.06.14.40.46- GTX 1660 SUPER: GPU Compute Cores: 1408- RTX 2060: GPU Compute Cores: 1920- RTX 3060: GPU Compute Cores: 3584- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: 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 Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

GTX 1660 SUPERRTX 2060RTX 3060Result OverviewPhoronix Test Suite100%132%163%195%LeelaChessZeroBlenderHashcatFluidX3DDarktable

GTX 1660 SUPERRTX 2060RTX 3060Per Watt Result OverviewPhoronix Test Suite100%120%140%160%180%LeelaChessZeroFluidX3DHashcatP.W.G.MP.W.G.MP.W.G.M

OpenCL NVIDIA Linuxhashcat: MD5hashcat: SHA1hashcat: 7-Ziphashcat: SHA-512hashcat: TrueCrypt RIPEMD160 + XTSfluidx3d: FP32-FP32fluidx3d: FP32-FP16Cfluidx3d: FP32-FP16Slczero: OpenCLdarktable: Boat - OpenCLdarktable: Masskrug - OpenCLdarktable: Server Rack - OpenCLdarktable: Server Room - OpenCLblender: BMW27 - NVIDIA CUDAblender: BMW27 - NVIDIA OptiXblender: Classroom - NVIDIA CUDAblender: Fishy Cat - NVIDIA CUDAblender: Barbershop - NVIDIA CUDAblender: Classroom - NVIDIA OptiXblender: Fishy Cat - NVIDIA OptiXblender: Barbershop - NVIDIA OptiXblender: Pabellon Barcelona - NVIDIA CUDAblender: Pabellon Barcelona - NVIDIA OptiXGTX 1660 SUPERRTX 2060RTX 306018653800000612542857133496077910000023046316042999294494282.1881.7400.1150.92137.1237.9483.2086.45347.7584.6581.09336.60235.32199.332628661428682432857144420701041633333305188181937113707135851.6531.5310.1110.68428.7914.8164.3364.00273.7841.2230.86162.28177.4949.98248757166677732200000424122980883333293825213135244213213591.6881.5380.1280.80925.7012.3554.4357.37226.2933.6725.79120.45143.4236.26OpenBenchmarking.org

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: MD5GTX 1660 SUPERRTX 2060RTX 30606000M12000M18000M24000M30000MSE +/- 25475412.98, N = 7SE +/- 41546522.57, N = 7SE +/- 20678175.56, N = 6186538000002628661428624875716667
OpenBenchmarking.orgH/s Per Watt, More Is BetterHashcat 6.2.4Benchmark: MD5GTX 1660 SUPERRTX 2060RTX 306060M120M180M240M300M254410222.96290290612.20290816761.05
MinAvgMaxGTX 1660 SUPER11.973.3128.3RTX 20609.890.6163.8RTX 306017.785.5149.4OpenBenchmarking.orgWatts, Fewer Is BetterHashcat 6.2.4GPU Power Consumption Monitor501001502002501. GTX 1660 SUPER: Approximate power consumption of 723 Joules per run.2. RTX 2060: Approximate power consumption of 893 Joules per run.3. RTX 3060: Approximate power consumption of 941 Joules per run.
OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: MD5GTX 1660 SUPERRTX 2060RTX 30605000M10000M15000M20000M25000MMin: 18505600000 / Avg: 18653800000 / Max: 18708900000Min: 26127800000 / Avg: 26286614285.71 / Max: 26419400000Min: 24812500000 / Avg: 24875716666.67 / Max: 24936900000

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: SHA1GTX 1660 SUPERRTX 2060RTX 30602000M4000M6000M8000M10000MSE +/- 5874347.55, N = 7SE +/- 16544937.78, N = 7SE +/- 5138612.00, N = 6612542857182432857147732200000
OpenBenchmarking.orgH/s Per Watt, More Is BetterHashcat 6.2.4Benchmark: SHA1GTX 1660 SUPERRTX 2060RTX 306020M40M60M80M100M82787249.2486510678.0797471636.64
MinAvgMaxGTX 1660 SUPER12.774.0126.2RTX 20609.995.3163.9RTX 306017.479.3135.3OpenBenchmarking.orgWatts, Fewer Is BetterHashcat 6.2.4GPU Power Consumption Monitor501001502002501. GTX 1660 SUPER: Approximate power consumption of 750 Joules per run.2. RTX 2060: Approximate power consumption of 966 Joules per run.3. RTX 3060: Approximate power consumption of 859 Joules per run.
OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: SHA1GTX 1660 SUPERRTX 2060RTX 30601400M2800M4200M5600M7000MMin: 6102600000 / Avg: 6125428571.43 / Max: 6136600000Min: 8164300000 / Avg: 8243285714.29 / Max: 8300900000Min: 7717500000 / Avg: 7732200000 / Max: 7744900000

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: 7-ZipGTX 1660 SUPERRTX 2060RTX 306090K180K270K360K450KSE +/- 191.02, N = 10SE +/- 232.40, N = 10SE +/- 340.66, N = 9334960442070424122
OpenBenchmarking.orgH/s Per Watt, More Is BetterHashcat 6.2.4Benchmark: 7-ZipGTX 1660 SUPERRTX 2060RTX 3060150030004500600075005940.637010.866814.32
MinAvgMaxGTX 1660 SUPER12.456.4126.9RTX 20609.863.1161.8RTX 306017.462.2174.2OpenBenchmarking.orgWatts, Fewer Is BetterHashcat 6.2.4GPU Power Consumption Monitor501001502002501. GTX 1660 SUPER: Approximate power consumption of 367 Joules per run.2. RTX 2060: Approximate power consumption of 410 Joules per run.3. RTX 3060: Approximate power consumption of 436 Joules per run.
OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: 7-ZipGTX 1660 SUPERRTX 2060RTX 306080K160K240K320K400KMin: 333800 / Avg: 334960 / Max: 335700Min: 441000 / Avg: 442070 / Max: 443300Min: 422800 / Avg: 424122.22 / Max: 425900

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: SHA-512GTX 1660 SUPERRTX 2060RTX 3060200M400M600M800M1000MSE +/- 587164.29, N = 7SE +/- 1639037.66, N = 6SE +/- 521163.23, N = 67791000001041633333980883333
OpenBenchmarking.orgH/s Per Watt, More Is BetterHashcat 6.2.4Benchmark: SHA-512GTX 1660 SUPERRTX 2060RTX 30603M6M9M12M15M10464305.9210987861.6411849647.92
MinAvgMaxGTX 1660 SUPER12.374.5123.4RTX 20609.894.8162.5RTX 306017.482.8139.0OpenBenchmarking.orgWatts, Fewer Is BetterHashcat 6.2.4GPU Power Consumption Monitor501001502002501. GTX 1660 SUPER: Approximate power consumption of 755 Joules per run.2. RTX 2060: Approximate power consumption of 980 Joules per run.3. RTX 3060: Approximate power consumption of 911 Joules per run.
OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: SHA-512GTX 1660 SUPERRTX 2060RTX 3060200M400M600M800M1000MMin: 777100000 / Avg: 779100000 / Max: 781300000Min: 1036600000 / Avg: 1041633333.33 / Max: 1046500000Min: 978800000 / Avg: 980883333.33 / Max: 982400000

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: TrueCrypt RIPEMD160 + XTSGTX 1660 SUPERRTX 2060RTX 306070K140K210K280K350KSE +/- 706.33, N = 8SE +/- 413.36, N = 8SE +/- 786.89, N = 8230463305188293825
OpenBenchmarking.orgH/s Per Watt, More Is BetterHashcat 6.2.4Benchmark: TrueCrypt RIPEMD160 + XTSGTX 1660 SUPERRTX 2060RTX 3060100020003000400050003872.964692.814436.19
MinAvgMaxGTX 1660 SUPER12.159.5127.5RTX 20609.865.0162.7RTX 306017.466.2147.2OpenBenchmarking.orgWatts, Fewer Is BetterHashcat 6.2.4GPU Power Consumption Monitor501001502002501. GTX 1660 SUPER: Approximate power consumption of 476 Joules per run.2. RTX 2060: Approximate power consumption of 512 Joules per run.3. RTX 3060: Approximate power consumption of 571 Joules per run.
OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: TrueCrypt RIPEMD160 + XTSGTX 1660 SUPERRTX 2060RTX 306050K100K150K200K250KMin: 226400 / Avg: 230462.5 / Max: 232200Min: 304200 / Avg: 305187.5 / Max: 307800Min: 289100 / Avg: 293825 / Max: 296800

FluidX3D

FluidX3D is a speedy and memory efficient Boltzmann CFD (Computational Fluid Dynamics) software package implemented using OpenCL and intended for GPU acceleration. FluidX3D is developed by Moritz Lehmann and written free for non-commercial use. This is a test profile measuring the system OpenCL performance using the FluidX3D benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMLUPs/s, More Is BetterFluidX3D 2.3Test: FP32-FP32GTX 1660 SUPERRTX 2060RTX 30605001000150020002500SE +/- 0.00, N = 3SE +/- 1.20, N = 3SE +/- 0.00, N = 3160418192131
OpenBenchmarking.orgMLUPs/s Per Watt, More Is BetterFluidX3D 2.3Test: FP32-FP32GTX 1660 SUPERRTX 2060RTX 306051015202516.4317.5520.43
MinAvgMaxGTX 1660 SUPER12.497.7101.8RTX 20609.5103.6111.7RTX 306017.7104.3110.7OpenBenchmarking.orgWatts, Fewer Is BetterFluidX3D 2.3GPU Power Consumption Monitor40801201602001. GTX 1660 SUPER: Approximate power consumption of 10579 Joules per run.2. RTX 2060: Approximate power consumption of 9950 Joules per run.3. RTX 3060: Approximate power consumption of 8624 Joules per run.
OpenBenchmarking.orgMLUPs/s, More Is BetterFluidX3D 2.3Test: FP32-FP32GTX 1660 SUPERRTX 2060RTX 3060400800120016002000Min: 1604 / Avg: 1604 / Max: 1604Min: 1817 / Avg: 1819.33 / Max: 1821Min: 2131 / Avg: 2131 / Max: 2131

OpenBenchmarking.orgMLUPs/s, More Is BetterFluidX3D 2.3Test: FP32-FP16CGTX 1660 SUPERRTX 2060RTX 30608001600240032004000SE +/- 15.01, N = 3SE +/- 0.67, N = 3SE +/- 3.33, N = 3299937113524
OpenBenchmarking.orgMLUPs/s Per Watt, More Is BetterFluidX3D 2.3Test: FP32-FP16CGTX 1660 SUPERRTX 2060RTX 306061218243025.5425.3924.44
MinAvgMaxGTX 1660 SUPER14.0117.4127.7RTX 206010.1146.2162.5RTX 306017.4144.2156.8OpenBenchmarking.orgWatts, Fewer Is BetterFluidX3D 2.3GPU Power Consumption Monitor501001502002501. GTX 1660 SUPER: Approximate power consumption of 7124 Joules per run.2. RTX 2060: Approximate power consumption of 7260 Joules per run.3. RTX 3060: Approximate power consumption of 7497 Joules per run.
OpenBenchmarking.orgMLUPs/s, More Is BetterFluidX3D 2.3Test: FP32-FP16CGTX 1660 SUPERRTX 2060RTX 30606001200180024003000Min: 2983 / Avg: 2999 / Max: 3029Min: 3710 / Avg: 3710.67 / Max: 3712Min: 3521 / Avg: 3524.33 / Max: 3531

OpenBenchmarking.orgMLUPs/s, More Is BetterFluidX3D 2.3Test: FP32-FP16SGTX 1660 SUPERRTX 2060RTX 30609001800270036004500SE +/- 0.58, N = 3SE +/- 0.67, N = 3SE +/- 0.88, N = 3294437074213
OpenBenchmarking.orgMLUPs/s Per Watt, More Is BetterFluidX3D 2.3Test: FP32-FP16SGTX 1660 SUPERRTX 2060RTX 306091827364527.6231.1337.55
MinAvgMaxGTX 1660 SUPER14.2106.6113.6RTX 206010.3119.1129.5RTX 306018.6112.2123.6OpenBenchmarking.orgWatts, Fewer Is BetterFluidX3D 2.3GPU Power Consumption Monitor40801201602001. GTX 1660 SUPER: Approximate power consumption of 6538 Joules per run.2. RTX 2060: Approximate power consumption of 5915 Joules per run.3. RTX 3060: Approximate power consumption of 4974 Joules per run.
OpenBenchmarking.orgMLUPs/s, More Is BetterFluidX3D 2.3Test: FP32-FP16SGTX 1660 SUPERRTX 2060RTX 30607001400210028003500Min: 2943 / Avg: 2944 / Max: 2945Min: 3706 / Avg: 3707.33 / Max: 3708Min: 4211 / Avg: 4212.67 / Max: 4214

LeelaChessZero

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

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.28Backend: OpenCLGTX 1660 SUPERRTX 2060RTX 30605K10K15K20K25KSE +/- 27.44, N = 3SE +/- 58.34, N = 3SE +/- 48.14, N = 3942813585213591. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterLeelaChessZero 0.28Backend: OpenCLGTX 1660 SUPERRTX 2060RTX 306030609012015077.7590.76139.59
MinAvgMaxGTX 1660 SUPER12.7121.3128.1RTX 206010.5149.7165.3RTX 306017.7153.0174.6OpenBenchmarking.orgWatts, Fewer Is BetterLeelaChessZero 0.28GPU Power Consumption Monitor501001502002501. GTX 1660 SUPER: Approximate power consumption of 42682 Joules per run.2. RTX 2060: Approximate power consumption of 53934 Joules per run.3. RTX 3060: Approximate power consumption of 54933 Joules per run.
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.28Backend: OpenCLGTX 1660 SUPERRTX 2060RTX 30604K8K12K16K20KMin: 9381 / Avg: 9427.67 / Max: 9476Min: 13468 / Avg: 13584.67 / Max: 13645Min: 21288 / Avg: 21359.33 / Max: 214511. (CXX) g++ options: -flto -pthread

Darktable

Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 4.2.1Test: Boat - Acceleration: OpenCLGTX 1660 SUPERRTX 2060RTX 30600.49230.98461.47691.96922.4615SE +/- 0.001, N = 10SE +/- 0.002, N = 10SE +/- 0.002, N = 102.1881.6531.688
MinAvgMaxGTX 1660 SUPER14.553.6127.1RTX 206010.157.1157.6OpenBenchmarking.orgWatts, Fewer Is BetterDarktable 4.2.1GPU Power Consumption Monitor40801201602001. GTX 1660 SUPER: Approximate power consumption of 365 Joules per run.2. RTX 2060: Approximate power consumption of 389 Joules per run.
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 4.2.1Test: Boat - Acceleration: OpenCLGTX 1660 SUPERRTX 2060RTX 3060246810Min: 2.18 / Avg: 2.19 / Max: 2.2Min: 1.64 / Avg: 1.65 / Max: 1.66Min: 1.68 / Avg: 1.69 / Max: 1.7

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 4.2.1Test: Masskrug - Acceleration: OpenCLGTX 1660 SUPERRTX 2060RTX 30600.39150.7831.17451.5661.9575SE +/- 0.004, N = 10SE +/- 0.005, N = 10SE +/- 0.004, N = 101.7401.5311.538
MinAvgMaxGTX 1660 SUPER12.438.2106.8RTX 20609.940.7116.1OpenBenchmarking.orgWatts, Fewer Is BetterDarktable 4.2.1GPU Power Consumption Monitor40801201602001. GTX 1660 SUPER: Approximate power consumption of 241 Joules per run.2. RTX 2060: Approximate power consumption of 248 Joules per run.
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 4.2.1Test: Masskrug - Acceleration: OpenCLGTX 1660 SUPERRTX 2060RTX 3060246810Min: 1.72 / Avg: 1.74 / Max: 1.77Min: 1.51 / Avg: 1.53 / Max: 1.57Min: 1.52 / Avg: 1.54 / Max: 1.56

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 4.2.1Test: Server Rack - Acceleration: OpenCLGTX 1660 SUPERRTX 2060RTX 30600.02880.05760.08640.11520.144SE +/- 0.000, N = 14SE +/- 0.000, N = 14SE +/- 0.000, N = 140.1150.1110.128
MinAvgMaxGTX 1660 SUPER12.224.050.6RTX 20609.723.146.7OpenBenchmarking.orgWatts, Fewer Is BetterDarktable 4.2.1GPU Power Consumption Monitor14284256701. GTX 1660 SUPER: Approximate power consumption of 113 Joules per run.2. RTX 2060: Approximate power consumption of 107 Joules per run.
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 4.2.1Test: Server Rack - Acceleration: OpenCLGTX 1660 SUPERRTX 2060RTX 306012345Min: 0.11 / Avg: 0.12 / Max: 0.12Min: 0.11 / Avg: 0.11 / Max: 0.11Min: 0.13 / Avg: 0.13 / Max: 0.13

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 4.2.1Test: Server Room - Acceleration: OpenCLGTX 1660 SUPERRTX 2060RTX 30600.20720.41440.62160.82881.036SE +/- 0.003, N = 11SE +/- 0.001, N = 12SE +/- 0.001, N = 110.9210.6840.809
MinAvgMaxGTX 1660 SUPER13.037.7108.4RTX 20609.942.1145.7OpenBenchmarking.orgWatts, Fewer Is BetterDarktable 4.2.1GPU Power Consumption Monitor40801201602001. GTX 1660 SUPER: Approximate power consumption of 216 Joules per run.2. RTX 2060: Approximate power consumption of 231 Joules per run.
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 4.2.1Test: Server Room - Acceleration: OpenCLGTX 1660 SUPERRTX 2060RTX 3060246810Min: 0.91 / Avg: 0.92 / Max: 0.94Min: 0.68 / Avg: 0.68 / Max: 0.69Min: 0.8 / Avg: 0.81 / Max: 0.81

Blender

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: BMW27 - Compute: NVIDIA CUDAGTX 1660 SUPERRTX 2060RTX 3060918273645SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 337.1228.7925.70
MinAvgMaxGTX 1660 SUPER12.595.0110.8RTX 20609.8111.4133.6RTX 306017.998.2117.4OpenBenchmarking.orgWatts, Fewer Is BetterBlender 3.4GPU Power Consumption Monitor40801201602001. GTX 1660 SUPER: Approximate power consumption of 3897 Joules per run.2. RTX 2060: Approximate power consumption of 3639 Joules per run.3. RTX 3060: Approximate power consumption of 2913 Joules per run.
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: BMW27 - Compute: NVIDIA CUDAGTX 1660 SUPERRTX 2060RTX 3060816243240Min: 37.09 / Avg: 37.12 / Max: 37.14Min: 28.69 / Avg: 28.79 / Max: 28.87Min: 25.62 / Avg: 25.7 / Max: 25.76

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: BMW27 - Compute: NVIDIA OptiXGTX 1660 SUPERRTX 2060RTX 3060918273645SE +/- 0.18, N = 3SE +/- 0.17, N = 4SE +/- 0.12, N = 637.9414.8112.35
MinAvgMaxGTX 1660 SUPER14.1100.6116.8RTX 206010.196.4121.0RTX 306017.688.4115.2OpenBenchmarking.orgWatts, Fewer Is BetterBlender 3.4GPU Power Consumption Monitor40801201602001. GTX 1660 SUPER: Approximate power consumption of 4192 Joules per run.2. RTX 2060: Approximate power consumption of 1808 Joules per run.3. RTX 3060: Approximate power consumption of 1444 Joules per run.
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: BMW27 - Compute: NVIDIA OptiXGTX 1660 SUPERRTX 2060RTX 3060816243240Min: 37.72 / Avg: 37.94 / Max: 38.3Min: 14.63 / Avg: 14.81 / Max: 15.32Min: 12.22 / Avg: 12.35 / Max: 12.95

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Classroom - Compute: NVIDIA CUDAGTX 1660 SUPERRTX 2060RTX 306020406080100SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 383.2064.3354.43
MinAvgMaxGTX 1660 SUPER13.8102.1113.3RTX 206010.1120.5131.3RTX 306017.6107.7118.1OpenBenchmarking.orgWatts, Fewer Is BetterBlender 3.4GPU Power Consumption Monitor40801201602001. GTX 1660 SUPER: Approximate power consumption of 8847 Joules per run.2. RTX 2060: Approximate power consumption of 8197 Joules per run.3. RTX 3060: Approximate power consumption of 6283 Joules per run.
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Classroom - Compute: NVIDIA CUDAGTX 1660 SUPERRTX 2060RTX 30601632486480Min: 83.09 / Avg: 83.2 / Max: 83.32Min: 64.24 / Avg: 64.33 / Max: 64.38Min: 54.41 / Avg: 54.43 / Max: 54.46

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Fishy Cat - Compute: NVIDIA CUDAGTX 1660 SUPERRTX 2060RTX 306020406080100SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 386.4564.0057.37
MinAvgMaxGTX 1660 SUPER13.794.1106.0RTX 206010.2114.2131.4RTX 306017.899.8113.9OpenBenchmarking.orgWatts, Fewer Is BetterBlender 3.4GPU Power Consumption Monitor40801201602001. GTX 1660 SUPER: Approximate power consumption of 8504 Joules per run.2. RTX 2060: Approximate power consumption of 7730 Joules per run.3. RTX 3060: Approximate power consumption of 6090 Joules per run.
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Fishy Cat - Compute: NVIDIA CUDAGTX 1660 SUPERRTX 2060RTX 30601632486480Min: 86.4 / Avg: 86.45 / Max: 86.48Min: 63.95 / Avg: 64 / Max: 64.04Min: 57.32 / Avg: 57.37 / Max: 57.46

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Barbershop - Compute: NVIDIA CUDAGTX 1660 SUPERRTX 2060RTX 306080160240320400SE +/- 0.01, N = 3SE +/- 0.29, N = 3SE +/- 0.09, N = 3347.75273.78226.29
MinAvgMaxGTX 1660 SUPER12.3103.2112.3RTX 206010.0119.9131.2RTX 306017.5108.7117.2OpenBenchmarking.orgWatts, Fewer Is BetterBlender 3.4GPU Power Consumption Monitor40801201602001. GTX 1660 SUPER: Approximate power consumption of 36074 Joules per run.2. RTX 2060: Approximate power consumption of 33121 Joules per run.3. RTX 3060: Approximate power consumption of 24922 Joules per run.
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Barbershop - Compute: NVIDIA CUDAGTX 1660 SUPERRTX 2060RTX 306060120180240300Min: 347.74 / Avg: 347.75 / Max: 347.76Min: 273.49 / Avg: 273.78 / Max: 274.36Min: 226.11 / Avg: 226.29 / Max: 226.41

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Classroom - Compute: NVIDIA OptiXGTX 1660 SUPERRTX 2060RTX 306020406080100SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 384.6541.2233.67
MinAvgMaxGTX 1660 SUPER14.1106.6115.3RTX 206010.2114.6130.5RTX 306017.6105.2119.6OpenBenchmarking.orgWatts, Fewer Is BetterBlender 3.4GPU Power Consumption Monitor40801201602001. GTX 1660 SUPER: Approximate power consumption of 9378 Joules per run.2. RTX 2060: Approximate power consumption of 5156 Joules per run.3. RTX 3060: Approximate power consumption of 3961 Joules per run.
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Classroom - Compute: NVIDIA OptiXGTX 1660 SUPERRTX 2060RTX 30601632486480Min: 84.57 / Avg: 84.65 / Max: 84.71Min: 41.21 / Avg: 41.22 / Max: 41.25Min: 33.66 / Avg: 33.67 / Max: 33.68

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Fishy Cat - Compute: NVIDIA OptiXGTX 1660 SUPERRTX 2060RTX 306020406080100SE +/- 0.24, N = 3SE +/- 0.23, N = 3SE +/- 0.25, N = 381.0930.8625.79
MinAvgMaxGTX 1660 SUPER14.4106.7122.6RTX 206010.3113.3135.6RTX 306017.698.2120.5OpenBenchmarking.orgWatts, Fewer Is BetterBlender 3.4GPU Power Consumption Monitor40801201602001. GTX 1660 SUPER: Approximate power consumption of 9035 Joules per run.2. RTX 2060: Approximate power consumption of 3966 Joules per run.3. RTX 3060: Approximate power consumption of 2947 Joules per run.
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Fishy Cat - Compute: NVIDIA OptiXGTX 1660 SUPERRTX 2060RTX 30601530456075Min: 80.71 / Avg: 81.09 / Max: 81.53Min: 30.63 / Avg: 30.86 / Max: 31.32Min: 25.51 / Avg: 25.79 / Max: 26.3

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Barbershop - Compute: NVIDIA OptiXGTX 1660 SUPERRTX 2060RTX 306070140210280350SE +/- 0.16, N = 3SE +/- 0.09, N = 3SE +/- 0.04, N = 3336.60162.28120.45
MinAvgMaxGTX 1660 SUPER12.1110.0117.3RTX 206010.1119.5131.7RTX 306017.5110.4121.1OpenBenchmarking.orgWatts, Fewer Is BetterBlender 3.4GPU Power Consumption Monitor40801201602001. GTX 1660 SUPER: Approximate power consumption of 37214 Joules per run.2. RTX 2060: Approximate power consumption of 19792 Joules per run.3. RTX 3060: Approximate power consumption of 13762 Joules per run.
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Barbershop - Compute: NVIDIA OptiXGTX 1660 SUPERRTX 2060RTX 306060120180240300Min: 336.4 / Avg: 336.6 / Max: 336.91Min: 162.11 / Avg: 162.28 / Max: 162.43Min: 120.39 / Avg: 120.45 / Max: 120.52

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Pabellon Barcelona - Compute: NVIDIA CUDAGTX 1660 SUPERRTX 2060RTX 306050100150200250SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.00, N = 3235.32177.49143.42
MinAvgMaxGTX 1660 SUPER14.1104.9116.0RTX 206010.3124.3142.0RTX 306017.9112.3128.0OpenBenchmarking.orgWatts, Fewer Is BetterBlender 3.4GPU Power Consumption Monitor40801201602001. GTX 1660 SUPER: Approximate power consumption of 24898 Joules per run.2. RTX 2060: Approximate power consumption of 22382 Joules per run.3. RTX 3060: Approximate power consumption of 16430 Joules per run.
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Pabellon Barcelona - Compute: NVIDIA CUDAGTX 1660 SUPERRTX 2060RTX 30604080120160200Min: 235.26 / Avg: 235.32 / Max: 235.35Min: 177.37 / Avg: 177.49 / Max: 177.6Min: 143.42 / Avg: 143.42 / Max: 143.43

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Pabellon Barcelona - Compute: NVIDIA OptiXGTX 1660 SUPERRTX 2060RTX 30604080120160200SE +/- 0.10, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3199.3349.9836.26
MinAvgMaxGTX 1660 SUPER14.1111.3120.7RTX 206010.2113.8131.2RTX 306017.8108.3132.1OpenBenchmarking.orgWatts, Fewer Is BetterBlender 3.4GPU Power Consumption Monitor40801201602001. GTX 1660 SUPER: Approximate power consumption of 22451 Joules per run.2. RTX 2060: Approximate power consumption of 6107 Joules per run.3. RTX 3060: Approximate power consumption of 4368 Joules per run.
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Pabellon Barcelona - Compute: NVIDIA OptiXGTX 1660 SUPERRTX 2060RTX 30604080120160200Min: 199.19 / Avg: 199.33 / Max: 199.52Min: 49.92 / Avg: 49.98 / Max: 50.01Min: 36.24 / Avg: 36.26 / Max: 36.29

GPU Power Consumption Monitor

OpenBenchmarking.orgWattsGPU Power Consumption MonitorPhoronix Test Suite System MonitoringGTX 1660 SUPERRTX 2060RTX 3060306090120150Min: 11.89 / Avg: 95.81 / Max: 128.25Min: 9.5 / Avg: 106.46 / Max: 165.25Min: 17.27 / Avg: 101.02 / Max: 174.59

GTX 1660 SUPER

Processor: AMD Ryzen 9 7950X 16-Core @ 4.50GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG CROSSHAIR X670E HERO (9922 BIOS), Chipset: AMD Device 14d8, Memory: 32GB, Disk: Western Digital WD_BLACK SN850X 1000GB + 2000GB, Graphics: eVGA NVIDIA GeForce GTX 1660 SUPER 6GB, Audio: NVIDIA TU116 HD Audio, Monitor: ASUS MG28U, Network: Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411

OS: Ubuntu 23.04, Kernel: 6.2.2-060202-generic (x86_64), Desktop: GNOME Shell 43.2, Display Server: X Server 1.21.1.7, Display Driver: NVIDIA 530.30.02, OpenGL: 4.6.0, OpenCL: OpenCL 2.1 AMD-APP (3513.0) + OpenCL 3.0 CUDA 12.1.68, Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 3840x2160

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --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-EzbZRD/gcc-12-12.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-EzbZRD/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
Processor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa601203
Graphics Notes: BAR1 / Visible vRAM Size: 256 MiB - vBIOS Version: 90.16.42.00.86
OpenCL Notes: GPU Compute Cores: 1408
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: 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 Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 11 March 2023 08:44 by user pts.

RTX 2060

Processor: AMD Ryzen 9 7950X 16-Core @ 4.50GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG CROSSHAIR X670E HERO (9922 BIOS), Chipset: AMD Device 14d8, Memory: 32GB, Disk: Western Digital WD_BLACK SN850X 1000GB + 2000GB, Graphics: NVIDIA GeForce RTX 2060 6GB, Audio: NVIDIA TU106 HD Audio, Monitor: ASUS MG28U, Network: Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411

OS: Ubuntu 23.04, Kernel: 6.2.2-060202-generic (x86_64), Desktop: GNOME Shell 43.2, Display Server: X Server 1.21.1.7, Display Driver: NVIDIA 530.30.02, OpenGL: 4.6.0, OpenCL: OpenCL 2.1 AMD-APP (3513.0) + OpenCL 3.0 CUDA 12.1.68, Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 3840x2160

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --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-EzbZRD/gcc-12-12.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-EzbZRD/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
Processor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa601203
Graphics Notes: BAR1 / Visible vRAM Size: 256 MiB - vBIOS Version: 90.06.2e.00.05
OpenCL Notes: GPU Compute Cores: 1920
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: 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 Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 10 March 2023 18:19 by user pts.

RTX 3060

Processor: AMD Ryzen 9 7950X 16-Core @ 4.50GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG CROSSHAIR X670E HERO (9922 BIOS), Chipset: AMD Device 14d8, Memory: 32GB, Disk: Western Digital WD_BLACK SN850X 1000GB + 2000GB, Graphics: eVGA NVIDIA GeForce RTX 3060 12GB, Audio: NVIDIA GA106 HD Audio, Monitor: ASUS MG28U, Network: Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411

OS: Ubuntu 23.04, Kernel: 6.2.2-060202-generic (x86_64), Desktop: GNOME Shell 43.2, Display Server: X Server 1.21.1.7, Display Driver: NVIDIA 530.30.02, OpenGL: 4.6.0, OpenCL: OpenCL 2.1 AMD-APP (3513.0) + OpenCL 3.0 CUDA 12.1.68, Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 3840x2160

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --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-EzbZRD/gcc-12-12.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-EzbZRD/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
Processor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa601203
Graphics Notes: BAR1 / Visible vRAM Size: 16384 MiB - vBIOS Version: 94.06.14.40.46
OpenCL Notes: GPU Compute Cores: 3584
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: 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 Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 10 March 2023 13:16 by user pts.