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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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

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

GTX 1660 SUPER

Changed Graphics to eVGA NVIDIA GeForce GTX 1660 SUPER 6GB.

Graphics Change: BAR1 / Visible vRAM Size: 256 MiB - vBIOS Version: 90.16.42.00.86
OpenCL Change: GPU Compute Cores: 1408

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 RTX 3060 12GBNVIDIA GeForce RTX 2060 6GBeVGA NVIDIA GeForce GTX 1660 SUPER 6GBNVIDIA GA106 HD AudioNVIDIA TU106 HD AudioNVIDIA TU116 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 - RTX 3060: BAR1 / Visible vRAM Size: 16384 MiB - vBIOS Version: 94.06.14.40.46- RTX 2060: BAR1 / Visible vRAM Size: 256 MiB - vBIOS Version: 90.06.2e.00.05- GTX 1660 SUPER: BAR1 / Visible vRAM Size: 256 MiB - vBIOS Version: 90.16.42.00.86 - RTX 3060: GPU Compute Cores: 3584- RTX 2060: GPU Compute Cores: 1920- GTX 1660 SUPER: GPU Compute Cores: 1408- 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 3060RTX 2060GTX 1660 SUPERResult OverviewPhoronix Test Suite100%132%163%195%LeelaChessZeroBlenderHashcatFluidX3DDarktable

RTX 3060RTX 2060GTX 1660 SUPERPer 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 OptiXRTX 3060RTX 2060GTX 1660 SUPER248757166677732200000424122980883333293825213135244213213591.6881.5380.1280.80925.7012.3554.4357.37226.2933.6725.79120.45143.4236.262628661428682432857144420701041633333305188181937113707135851.6531.5310.1110.68428.7914.8164.3364.00273.7841.2230.86162.28177.4949.9818653800000612542857133496077910000023046316042999294494282.1881.7400.1150.92137.1237.9483.2086.45347.7584.6581.09336.60235.32199.33OpenBenchmarking.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: MD5RTX 3060RTX 2060GTX 1660 SUPER6000M12000M18000M24000M30000MSE +/- 20678175.56, N = 6SE +/- 41546522.57, N = 7SE +/- 25475412.98, N = 7248757166672628661428618653800000
OpenBenchmarking.orgH/s Per Watt, More Is BetterHashcat 6.2.4Benchmark: MD5RTX 3060RTX 2060GTX 1660 SUPER60M120M180M240M300M290816761.05290290612.20254410222.96
MinAvgMaxRTX 306017.785.5149.4RTX 20609.890.6163.8GTX 1660 SUPER11.973.3128.3OpenBenchmarking.orgWatts, Fewer Is BetterHashcat 6.2.4GPU Power Consumption Monitor501001502002501. RTX 3060: Approximate power consumption of 941 Joules per run.2. RTX 2060: Approximate power consumption of 893 Joules per run.3. GTX 1660 SUPER: Approximate power consumption of 723 Joules per run.
OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: MD5RTX 3060RTX 2060GTX 1660 SUPER5000M10000M15000M20000M25000MMin: 24812500000 / Avg: 24875716666.67 / Max: 24936900000Min: 26127800000 / Avg: 26286614285.71 / Max: 26419400000Min: 18505600000 / Avg: 18653800000 / Max: 18708900000

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: SHA1RTX 3060RTX 2060GTX 1660 SUPER2000M4000M6000M8000M10000MSE +/- 5138612.00, N = 6SE +/- 16544937.78, N = 7SE +/- 5874347.55, N = 7773220000082432857146125428571
OpenBenchmarking.orgH/s Per Watt, More Is BetterHashcat 6.2.4Benchmark: SHA1RTX 3060RTX 2060GTX 1660 SUPER20M40M60M80M100M97471636.6486510678.0782787249.24
MinAvgMaxRTX 306017.479.3135.3RTX 20609.995.3163.9GTX 1660 SUPER12.774.0126.2OpenBenchmarking.orgWatts, Fewer Is BetterHashcat 6.2.4GPU Power Consumption Monitor501001502002501. RTX 3060: Approximate power consumption of 859 Joules per run.2. RTX 2060: Approximate power consumption of 966 Joules per run.3. GTX 1660 SUPER: Approximate power consumption of 750 Joules per run.
OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: SHA1RTX 3060RTX 2060GTX 1660 SUPER1400M2800M4200M5600M7000MMin: 7717500000 / Avg: 7732200000 / Max: 7744900000Min: 8164300000 / Avg: 8243285714.29 / Max: 8300900000Min: 6102600000 / Avg: 6125428571.43 / Max: 6136600000

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: 7-ZipRTX 3060RTX 2060GTX 1660 SUPER90K180K270K360K450KSE +/- 340.66, N = 9SE +/- 232.40, N = 10SE +/- 191.02, N = 10424122442070334960
OpenBenchmarking.orgH/s Per Watt, More Is BetterHashcat 6.2.4Benchmark: 7-ZipRTX 3060RTX 2060GTX 1660 SUPER150030004500600075006814.327010.865940.63
MinAvgMaxRTX 306017.462.2174.2RTX 20609.863.1161.8GTX 1660 SUPER12.456.4126.9OpenBenchmarking.orgWatts, Fewer Is BetterHashcat 6.2.4GPU Power Consumption Monitor501001502002501. RTX 3060: Approximate power consumption of 436 Joules per run.2. RTX 2060: Approximate power consumption of 410 Joules per run.3. GTX 1660 SUPER: Approximate power consumption of 367 Joules per run.
OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: 7-ZipRTX 3060RTX 2060GTX 1660 SUPER80K160K240K320K400KMin: 422800 / Avg: 424122.22 / Max: 425900Min: 441000 / Avg: 442070 / Max: 443300Min: 333800 / Avg: 334960 / Max: 335700

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: SHA-512RTX 3060RTX 2060GTX 1660 SUPER200M400M600M800M1000MSE +/- 521163.23, N = 6SE +/- 1639037.66, N = 6SE +/- 587164.29, N = 79808833331041633333779100000
OpenBenchmarking.orgH/s Per Watt, More Is BetterHashcat 6.2.4Benchmark: SHA-512RTX 3060RTX 2060GTX 1660 SUPER3M6M9M12M15M11849647.9210987861.6410464305.92
MinAvgMaxRTX 306017.482.8139.0RTX 20609.894.8162.5GTX 1660 SUPER12.374.5123.4OpenBenchmarking.orgWatts, Fewer Is BetterHashcat 6.2.4GPU Power Consumption Monitor501001502002501. RTX 3060: Approximate power consumption of 911 Joules per run.2. RTX 2060: Approximate power consumption of 980 Joules per run.3. GTX 1660 SUPER: Approximate power consumption of 755 Joules per run.
OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: SHA-512RTX 3060RTX 2060GTX 1660 SUPER200M400M600M800M1000MMin: 978800000 / Avg: 980883333.33 / Max: 982400000Min: 1036600000 / Avg: 1041633333.33 / Max: 1046500000Min: 777100000 / Avg: 779100000 / Max: 781300000

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: TrueCrypt RIPEMD160 + XTSRTX 3060RTX 2060GTX 1660 SUPER70K140K210K280K350KSE +/- 786.89, N = 8SE +/- 413.36, N = 8SE +/- 706.33, N = 8293825305188230463
OpenBenchmarking.orgH/s Per Watt, More Is BetterHashcat 6.2.4Benchmark: TrueCrypt RIPEMD160 + XTSRTX 3060RTX 2060GTX 1660 SUPER100020003000400050004436.194692.813872.96
MinAvgMaxRTX 306017.466.2147.2RTX 20609.865.0162.7GTX 1660 SUPER12.159.5127.5OpenBenchmarking.orgWatts, Fewer Is BetterHashcat 6.2.4GPU Power Consumption Monitor501001502002501. RTX 3060: Approximate power consumption of 571 Joules per run.2. RTX 2060: Approximate power consumption of 512 Joules per run.3. GTX 1660 SUPER: Approximate power consumption of 476 Joules per run.
OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: TrueCrypt RIPEMD160 + XTSRTX 3060RTX 2060GTX 1660 SUPER50K100K150K200K250KMin: 289100 / Avg: 293825 / Max: 296800Min: 304200 / Avg: 305187.5 / Max: 307800Min: 226400 / Avg: 230462.5 / Max: 232200

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-FP32RTX 3060RTX 2060GTX 1660 SUPER5001000150020002500SE +/- 0.00, N = 3SE +/- 1.20, N = 3SE +/- 0.00, N = 3213118191604
OpenBenchmarking.orgMLUPs/s Per Watt, More Is BetterFluidX3D 2.3Test: FP32-FP32RTX 3060RTX 2060GTX 1660 SUPER51015202520.4317.5516.43
MinAvgMaxRTX 306017.7104.3110.7RTX 20609.5103.6111.7GTX 1660 SUPER12.497.7101.8OpenBenchmarking.orgWatts, Fewer Is BetterFluidX3D 2.3GPU Power Consumption Monitor40801201602001. RTX 3060: Approximate power consumption of 8624 Joules per run.2. RTX 2060: Approximate power consumption of 9950 Joules per run.3. GTX 1660 SUPER: Approximate power consumption of 10579 Joules per run.
OpenBenchmarking.orgMLUPs/s, More Is BetterFluidX3D 2.3Test: FP32-FP32RTX 3060RTX 2060GTX 1660 SUPER400800120016002000Min: 2131 / Avg: 2131 / Max: 2131Min: 1817 / Avg: 1819.33 / Max: 1821Min: 1604 / Avg: 1604 / Max: 1604

OpenBenchmarking.orgMLUPs/s, More Is BetterFluidX3D 2.3Test: FP32-FP16CRTX 3060RTX 2060GTX 1660 SUPER8001600240032004000SE +/- 3.33, N = 3SE +/- 0.67, N = 3SE +/- 15.01, N = 3352437112999
OpenBenchmarking.orgMLUPs/s Per Watt, More Is BetterFluidX3D 2.3Test: FP32-FP16CRTX 3060RTX 2060GTX 1660 SUPER61218243024.4425.3925.54
MinAvgMaxRTX 306017.4144.2156.8RTX 206010.1146.2162.5GTX 1660 SUPER14.0117.4127.7OpenBenchmarking.orgWatts, Fewer Is BetterFluidX3D 2.3GPU Power Consumption Monitor501001502002501. RTX 3060: Approximate power consumption of 7497 Joules per run.2. RTX 2060: Approximate power consumption of 7260 Joules per run.3. GTX 1660 SUPER: Approximate power consumption of 7124 Joules per run.
OpenBenchmarking.orgMLUPs/s, More Is BetterFluidX3D 2.3Test: FP32-FP16CRTX 3060RTX 2060GTX 1660 SUPER6001200180024003000Min: 3521 / Avg: 3524.33 / Max: 3531Min: 3710 / Avg: 3710.67 / Max: 3712Min: 2983 / Avg: 2999 / Max: 3029

OpenBenchmarking.orgMLUPs/s, More Is BetterFluidX3D 2.3Test: FP32-FP16SRTX 3060RTX 2060GTX 1660 SUPER9001800270036004500SE +/- 0.88, N = 3SE +/- 0.67, N = 3SE +/- 0.58, N = 3421337072944
OpenBenchmarking.orgMLUPs/s Per Watt, More Is BetterFluidX3D 2.3Test: FP32-FP16SRTX 3060RTX 2060GTX 1660 SUPER91827364537.5531.1327.62
MinAvgMaxRTX 306018.6112.2123.6RTX 206010.3119.1129.5GTX 1660 SUPER14.2106.6113.6OpenBenchmarking.orgWatts, Fewer Is BetterFluidX3D 2.3GPU Power Consumption Monitor40801201602001. RTX 3060: Approximate power consumption of 4974 Joules per run.2. RTX 2060: Approximate power consumption of 5915 Joules per run.3. GTX 1660 SUPER: Approximate power consumption of 6538 Joules per run.
OpenBenchmarking.orgMLUPs/s, More Is BetterFluidX3D 2.3Test: FP32-FP16SRTX 3060RTX 2060GTX 1660 SUPER7001400210028003500Min: 4211 / Avg: 4212.67 / Max: 4214Min: 3706 / Avg: 3707.33 / Max: 3708Min: 2943 / Avg: 2944 / Max: 2945

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: OpenCLRTX 3060RTX 2060GTX 1660 SUPER5K10K15K20K25KSE +/- 48.14, N = 3SE +/- 58.34, N = 3SE +/- 27.44, N = 3213591358594281. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterLeelaChessZero 0.28Backend: OpenCLRTX 3060RTX 2060GTX 1660 SUPER306090120150139.5990.7677.75
MinAvgMaxRTX 306017.7153.0174.6RTX 206010.5149.7165.3GTX 1660 SUPER12.7121.3128.1OpenBenchmarking.orgWatts, Fewer Is BetterLeelaChessZero 0.28GPU Power Consumption Monitor501001502002501. RTX 3060: Approximate power consumption of 54933 Joules per run.2. RTX 2060: Approximate power consumption of 53934 Joules per run.3. GTX 1660 SUPER: Approximate power consumption of 42682 Joules per run.
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.28Backend: OpenCLRTX 3060RTX 2060GTX 1660 SUPER4K8K12K16K20KMin: 21288 / Avg: 21359.33 / Max: 21451Min: 13468 / Avg: 13584.67 / Max: 13645Min: 9381 / Avg: 9427.67 / Max: 94761. (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: OpenCLRTX 3060RTX 2060GTX 1660 SUPER0.49230.98461.47691.96922.4615SE +/- 0.002, N = 10SE +/- 0.002, N = 10SE +/- 0.001, N = 101.6881.6532.188
MinAvgMaxRTX 206010.157.1157.6GTX 1660 SUPER14.553.6127.1OpenBenchmarking.orgWatts, Fewer Is BetterDarktable 4.2.1GPU Power Consumption Monitor40801201602001. RTX 2060: Approximate power consumption of 389 Joules per run.2. GTX 1660 SUPER: Approximate power consumption of 365 Joules per run.
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 4.2.1Test: Boat - Acceleration: OpenCLRTX 3060RTX 2060GTX 1660 SUPER246810Min: 1.68 / Avg: 1.69 / Max: 1.7Min: 1.64 / Avg: 1.65 / Max: 1.66Min: 2.18 / Avg: 2.19 / Max: 2.2

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 4.2.1Test: Masskrug - Acceleration: OpenCLRTX 3060RTX 2060GTX 1660 SUPER0.39150.7831.17451.5661.9575SE +/- 0.004, N = 10SE +/- 0.005, N = 10SE +/- 0.004, N = 101.5381.5311.740
MinAvgMaxRTX 20609.940.7116.1GTX 1660 SUPER12.438.2106.8OpenBenchmarking.orgWatts, Fewer Is BetterDarktable 4.2.1GPU Power Consumption Monitor40801201602001. RTX 2060: Approximate power consumption of 248 Joules per run.2. GTX 1660 SUPER: Approximate power consumption of 241 Joules per run.
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 4.2.1Test: Masskrug - Acceleration: OpenCLRTX 3060RTX 2060GTX 1660 SUPER246810Min: 1.52 / Avg: 1.54 / Max: 1.56Min: 1.51 / Avg: 1.53 / Max: 1.57Min: 1.72 / Avg: 1.74 / Max: 1.77

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 4.2.1Test: Server Rack - Acceleration: OpenCLRTX 3060RTX 2060GTX 1660 SUPER0.02880.05760.08640.11520.144SE +/- 0.000, N = 14SE +/- 0.000, N = 14SE +/- 0.000, N = 140.1280.1110.115
MinAvgMaxRTX 20609.723.146.7GTX 1660 SUPER12.224.050.6OpenBenchmarking.orgWatts, Fewer Is BetterDarktable 4.2.1GPU Power Consumption Monitor14284256701. RTX 2060: Approximate power consumption of 107 Joules per run.2. GTX 1660 SUPER: Approximate power consumption of 113 Joules per run.
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 4.2.1Test: Server Rack - Acceleration: OpenCLRTX 3060RTX 2060GTX 1660 SUPER12345Min: 0.13 / Avg: 0.13 / Max: 0.13Min: 0.11 / Avg: 0.11 / Max: 0.11Min: 0.11 / Avg: 0.12 / Max: 0.12

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 4.2.1Test: Server Room - Acceleration: OpenCLRTX 3060RTX 2060GTX 1660 SUPER0.20720.41440.62160.82881.036SE +/- 0.001, N = 11SE +/- 0.001, N = 12SE +/- 0.003, N = 110.8090.6840.921
MinAvgMaxRTX 20609.942.1145.7GTX 1660 SUPER13.037.7108.4OpenBenchmarking.orgWatts, Fewer Is BetterDarktable 4.2.1GPU Power Consumption Monitor40801201602001. RTX 2060: Approximate power consumption of 231 Joules per run.2. GTX 1660 SUPER: Approximate power consumption of 216 Joules per run.
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 4.2.1Test: Server Room - Acceleration: OpenCLRTX 3060RTX 2060GTX 1660 SUPER246810Min: 0.8 / Avg: 0.81 / Max: 0.81Min: 0.68 / Avg: 0.68 / Max: 0.69Min: 0.91 / Avg: 0.92 / Max: 0.94

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 CUDARTX 3060RTX 2060GTX 1660 SUPER918273645SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 325.7028.7937.12
MinAvgMaxRTX 306017.998.2117.4RTX 20609.8111.4133.6GTX 1660 SUPER12.595.0110.8OpenBenchmarking.orgWatts, Fewer Is BetterBlender 3.4GPU Power Consumption Monitor40801201602001. RTX 3060: Approximate power consumption of 2913 Joules per run.2. RTX 2060: Approximate power consumption of 3639 Joules per run.3. GTX 1660 SUPER: Approximate power consumption of 3897 Joules per run.
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: BMW27 - Compute: NVIDIA CUDARTX 3060RTX 2060GTX 1660 SUPER816243240Min: 25.62 / Avg: 25.7 / Max: 25.76Min: 28.69 / Avg: 28.79 / Max: 28.87Min: 37.09 / Avg: 37.12 / Max: 37.14

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: BMW27 - Compute: NVIDIA OptiXRTX 3060RTX 2060GTX 1660 SUPER918273645SE +/- 0.12, N = 6SE +/- 0.17, N = 4SE +/- 0.18, N = 312.3514.8137.94
MinAvgMaxRTX 306017.688.4115.2RTX 206010.196.4121.0GTX 1660 SUPER14.1100.6116.8OpenBenchmarking.orgWatts, Fewer Is BetterBlender 3.4GPU Power Consumption Monitor40801201602001. RTX 3060: Approximate power consumption of 1444 Joules per run.2. RTX 2060: Approximate power consumption of 1808 Joules per run.3. GTX 1660 SUPER: Approximate power consumption of 4192 Joules per run.
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: BMW27 - Compute: NVIDIA OptiXRTX 3060RTX 2060GTX 1660 SUPER816243240Min: 12.22 / Avg: 12.35 / Max: 12.95Min: 14.63 / Avg: 14.81 / Max: 15.32Min: 37.72 / Avg: 37.94 / Max: 38.3

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Classroom - Compute: NVIDIA CUDARTX 3060RTX 2060GTX 1660 SUPER20406080100SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 354.4364.3383.20
MinAvgMaxRTX 306017.6107.7118.1RTX 206010.1120.5131.3GTX 1660 SUPER13.8102.1113.3OpenBenchmarking.orgWatts, Fewer Is BetterBlender 3.4GPU Power Consumption Monitor40801201602001. RTX 3060: Approximate power consumption of 6283 Joules per run.2. RTX 2060: Approximate power consumption of 8197 Joules per run.3. GTX 1660 SUPER: Approximate power consumption of 8847 Joules per run.
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Classroom - Compute: NVIDIA CUDARTX 3060RTX 2060GTX 1660 SUPER1632486480Min: 54.41 / Avg: 54.43 / Max: 54.46Min: 64.24 / Avg: 64.33 / Max: 64.38Min: 83.09 / Avg: 83.2 / Max: 83.32

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Fishy Cat - Compute: NVIDIA CUDARTX 3060RTX 2060GTX 1660 SUPER20406080100SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 357.3764.0086.45
MinAvgMaxRTX 306017.899.8113.9RTX 206010.2114.2131.4GTX 1660 SUPER13.794.1106.0OpenBenchmarking.orgWatts, Fewer Is BetterBlender 3.4GPU Power Consumption Monitor40801201602001. RTX 3060: Approximate power consumption of 6090 Joules per run.2. RTX 2060: Approximate power consumption of 7730 Joules per run.3. GTX 1660 SUPER: Approximate power consumption of 8504 Joules per run.
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Fishy Cat - Compute: NVIDIA CUDARTX 3060RTX 2060GTX 1660 SUPER1632486480Min: 57.32 / Avg: 57.37 / Max: 57.46Min: 63.95 / Avg: 64 / Max: 64.04Min: 86.4 / Avg: 86.45 / Max: 86.48

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Barbershop - Compute: NVIDIA CUDARTX 3060RTX 2060GTX 1660 SUPER80160240320400SE +/- 0.09, N = 3SE +/- 0.29, N = 3SE +/- 0.01, N = 3226.29273.78347.75
MinAvgMaxRTX 306017.5108.7117.2RTX 206010.0119.9131.2GTX 1660 SUPER12.3103.2112.3OpenBenchmarking.orgWatts, Fewer Is BetterBlender 3.4GPU Power Consumption Monitor40801201602001. RTX 3060: Approximate power consumption of 24922 Joules per run.2. RTX 2060: Approximate power consumption of 33121 Joules per run.3. GTX 1660 SUPER: Approximate power consumption of 36074 Joules per run.
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Barbershop - Compute: NVIDIA CUDARTX 3060RTX 2060GTX 1660 SUPER60120180240300Min: 226.11 / Avg: 226.29 / Max: 226.41Min: 273.49 / Avg: 273.78 / Max: 274.36Min: 347.74 / Avg: 347.75 / Max: 347.76

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Classroom - Compute: NVIDIA OptiXRTX 3060RTX 2060GTX 1660 SUPER20406080100SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 333.6741.2284.65
MinAvgMaxRTX 306017.6105.2119.6RTX 206010.2114.6130.5GTX 1660 SUPER14.1106.6115.3OpenBenchmarking.orgWatts, Fewer Is BetterBlender 3.4GPU Power Consumption Monitor40801201602001. RTX 3060: Approximate power consumption of 3961 Joules per run.2. RTX 2060: Approximate power consumption of 5156 Joules per run.3. GTX 1660 SUPER: Approximate power consumption of 9378 Joules per run.
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Classroom - Compute: NVIDIA OptiXRTX 3060RTX 2060GTX 1660 SUPER1632486480Min: 33.66 / Avg: 33.67 / Max: 33.68Min: 41.21 / Avg: 41.22 / Max: 41.25Min: 84.57 / Avg: 84.65 / Max: 84.71

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Fishy Cat - Compute: NVIDIA OptiXRTX 3060RTX 2060GTX 1660 SUPER20406080100SE +/- 0.25, N = 3SE +/- 0.23, N = 3SE +/- 0.24, N = 325.7930.8681.09
MinAvgMaxRTX 306017.698.2120.5RTX 206010.3113.3135.6GTX 1660 SUPER14.4106.7122.6OpenBenchmarking.orgWatts, Fewer Is BetterBlender 3.4GPU Power Consumption Monitor40801201602001. RTX 3060: Approximate power consumption of 2947 Joules per run.2. RTX 2060: Approximate power consumption of 3966 Joules per run.3. GTX 1660 SUPER: Approximate power consumption of 9035 Joules per run.
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Fishy Cat - Compute: NVIDIA OptiXRTX 3060RTX 2060GTX 1660 SUPER1530456075Min: 25.51 / Avg: 25.79 / Max: 26.3Min: 30.63 / Avg: 30.86 / Max: 31.32Min: 80.71 / Avg: 81.09 / Max: 81.53

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Barbershop - Compute: NVIDIA OptiXRTX 3060RTX 2060GTX 1660 SUPER70140210280350SE +/- 0.04, N = 3SE +/- 0.09, N = 3SE +/- 0.16, N = 3120.45162.28336.60
MinAvgMaxRTX 306017.5110.4121.1RTX 206010.1119.5131.7GTX 1660 SUPER12.1110.0117.3OpenBenchmarking.orgWatts, Fewer Is BetterBlender 3.4GPU Power Consumption Monitor40801201602001. RTX 3060: Approximate power consumption of 13762 Joules per run.2. RTX 2060: Approximate power consumption of 19792 Joules per run.3. GTX 1660 SUPER: Approximate power consumption of 37214 Joules per run.
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Barbershop - Compute: NVIDIA OptiXRTX 3060RTX 2060GTX 1660 SUPER60120180240300Min: 120.39 / Avg: 120.45 / Max: 120.52Min: 162.11 / Avg: 162.28 / Max: 162.43Min: 336.4 / Avg: 336.6 / Max: 336.91

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Pabellon Barcelona - Compute: NVIDIA CUDARTX 3060RTX 2060GTX 1660 SUPER50100150200250SE +/- 0.00, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3143.42177.49235.32
MinAvgMaxRTX 306017.9112.3128.0RTX 206010.3124.3142.0GTX 1660 SUPER14.1104.9116.0OpenBenchmarking.orgWatts, Fewer Is BetterBlender 3.4GPU Power Consumption Monitor40801201602001. RTX 3060: Approximate power consumption of 16430 Joules per run.2. RTX 2060: Approximate power consumption of 22382 Joules per run.3. GTX 1660 SUPER: Approximate power consumption of 24898 Joules per run.
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Pabellon Barcelona - Compute: NVIDIA CUDARTX 3060RTX 2060GTX 1660 SUPER4080120160200Min: 143.42 / Avg: 143.42 / Max: 143.43Min: 177.37 / Avg: 177.49 / Max: 177.6Min: 235.26 / Avg: 235.32 / Max: 235.35

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Pabellon Barcelona - Compute: NVIDIA OptiXRTX 3060RTX 2060GTX 1660 SUPER4080120160200SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.10, N = 336.2649.98199.33
MinAvgMaxRTX 306017.8108.3132.1RTX 206010.2113.8131.2GTX 1660 SUPER14.1111.3120.7OpenBenchmarking.orgWatts, Fewer Is BetterBlender 3.4GPU Power Consumption Monitor40801201602001. RTX 3060: Approximate power consumption of 4368 Joules per run.2. RTX 2060: Approximate power consumption of 6107 Joules per run.3. GTX 1660 SUPER: Approximate power consumption of 22451 Joules per run.
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Pabellon Barcelona - Compute: NVIDIA OptiXRTX 3060RTX 2060GTX 1660 SUPER4080120160200Min: 36.24 / Avg: 36.26 / Max: 36.29Min: 49.92 / Avg: 49.98 / Max: 50.01Min: 199.19 / Avg: 199.33 / Max: 199.52

GPU Power Consumption Monitor

OpenBenchmarking.orgWattsGPU Power Consumption MonitorPhoronix Test Suite System MonitoringRTX 3060RTX 2060GTX 1660 SUPER306090120150Min: 17.27 / Avg: 101.02 / Max: 174.59Min: 9.5 / Avg: 106.46 / Max: 165.25Min: 11.89 / Avg: 95.81 / Max: 128.25

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.

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.

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.