NVIDIA GeForce RTX SUPER Linux OpenCL/CUDA GPU compute benchmarks by Michael Larabel for a future article.
RTX 2070 SUPER Processor: Intel Core i9-9900K @ 5.00GHz (8 Cores / 16 Threads), Motherboard: ASUS PRIME Z390-A (0802 BIOS), Chipset: Intel Cannon Lake PCH, Memory: 16384MB, Disk: Samsung SSD 970 EVO 250GB, Graphics: NVIDIA GeForce RTX 2070 SUPER 8GB (1605/7000MHz), Audio: Realtek ALC1220, Monitor: Acer B286HK, Network: Intel I219-V
OS: Ubuntu 19.04, Kernel: 5.3.0-999-generic (x86_64) 20190914, Desktop: GNOME Shell 3.32.2, Display Server: X Server 1.20.4, Display Driver: NVIDIA 435.21, OpenGL: 4.6.0, Compiler: GCC 8.3.0, File-System: ext4, Screen Resolution: 3840x2160
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++ --enable-libmpx --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none --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 --with-tune=generic --without-cuda-driver -vProcessor Notes: Scaling Governor: intel_pstate performanceOpenCL Notes: GPU Compute Cores: 2560Python Notes: Python 2.7.16 + Python 3.7.3Security Notes: l1tf: Not affected + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling
RTX 2060 SUPER Changed Graphics to NVIDIA GeForce RTX 2060 SUPER 8GB (1470/7000MHz) .
OpenCL Change: GPU Compute Cores: 2176
GTX 980 Ti Changed Graphics to NVIDIA GeForce GTX 980 Ti 6GB (999/3505MHz) .
OpenCL Change: GPU Compute Cores: 2816
RTX 2080 SUPER Changed Graphics to NVIDIA GeForce RTX 2080 SUPER 8GB (1650/7750MHz) .
OpenCL Change: GPU Compute Cores: 3072
TITAN RTX Changed Graphics to NVIDIA TITAN RTX 24GB (1350/7000MHz) .
OpenCL Change: GPU Compute Cores: 4608
RTX 2070 Processor: Intel Core i9-9900K @ 5.00GHz (8 Cores / 16 Threads), Motherboard: ASUS PRIME Z390-A (0802 BIOS), Chipset: Intel Cannon Lake PCH, Memory: 16384MB, Disk: Samsung SSD 970 EVO 250GB, Graphics: ASUS NVIDIA GeForce RTX 2070 8GB (1410/7000MHz)Audio: Realtek ALC1220, Monitor: Acer B286HK, Network: Intel I219-V
OS: Ubuntu 19.04, Kernel: 5.0.0-29-generic (x86_64), Desktop: GNOME Shell 3.32.2, Display Server: X Server 1.20.4, Display Driver: NVIDIA 435.21, OpenGL: 4.6.0, Compiler: GCC 8.3.0, File-System: ext4, Screen Resolution: 3840x2160
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++ --enable-libmpx --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none --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 --with-tune=generic --without-cuda-driver -vProcessor Notes: Scaling Governor: intel_pstate performanceOpenCL Notes: GPU Compute Cores: 2304Python Notes: Python 2.7.16 + Python 3.7.3Security Notes: l1tf: Not affected + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling
GTX 1070 Ti Changed Graphics to Zotac NVIDIA GeForce GTX 1070 Ti 8GB (1607/4006MHz) .
OpenCL Change: GPU Compute Cores: 2432
RTX 2080 Changed Graphics to Zotac NVIDIA GeForce RTX 2080 8GB (795/810MHz) .
OpenCL Change: GPU Compute Cores: 2944
RTX 2060 Changed Graphics to NVIDIA GeForce RTX 2060 6GB (1365/7000MHz) .
OpenCL Change: GPU Compute Cores: 1920
GTX 1060 Changed Graphics to NVIDIA GeForce GTX 1060 6GB (1506/4006MHz) .
OpenCL Change: GPU Compute Cores: 1280
GTX 1080 Changed Graphics to NVIDIA GeForce GTX 1080 8GB (1607/5005MHz) .
OpenCL Change: GPU Compute Cores: 2560
GTX 1080 Ti Changed Graphics to NVIDIA GeForce GTX 1080 Ti 11GB (1480/5508MHz) .
OpenCL Change: GPU Compute Cores: 3584
GTX 1660 Ti Changed Graphics to eVGA NVIDIA GeForce GTX 1660 Ti 6GB (1500/6000MHz) .
OpenCL Change: GPU Compute Cores: 1536
GTX 980 Changed Graphics to NVIDIA GeForce GTX 980 4GB (1126/3505MHz) .
OpenCL Change: GPU Compute Cores: 2048
GTX 1660 Changed Graphics to ASUS NVIDIA GeForce GTX 1660 6GB (1530/4001MHz) .
OpenCL Change: GPU Compute Cores: 1408
GTX 1070 Changed Graphics to NVIDIA GeForce GTX 1070 8GB (1506/4006MHz) .
OpenCL Change: GPU Compute Cores: 1920
GTX 970 Changed Graphics to eVGA NVIDIA GeForce GTX 970 4GB (1163/3505MHz) .
OpenCL Change: GPU Compute Cores: 1664
RTX 2080 Ti Changed Graphics to NVIDIA GeForce RTX 2080 Ti 11GB (1350/7000MHz) .
OpenCL Change: GPU Compute Cores: 4352
NVIDIA Linux OpenCL CUDA RTX SUPER Compute OpenBenchmarking.org Phoronix Test Suite Intel Core i9-9900K @ 5.00GHz (8 Cores / 16 Threads) ASUS PRIME Z390-A (0802 BIOS) Intel Cannon Lake PCH 16384MB Samsung SSD 970 EVO 250GB NVIDIA GeForce RTX 2070 SUPER 8GB (1605/7000MHz) NVIDIA GeForce RTX 2060 SUPER 8GB (1470/7000MHz) NVIDIA GeForce GTX 980 Ti 6GB (999/3505MHz) NVIDIA GeForce RTX 2080 SUPER 8GB (1650/7750MHz) NVIDIA TITAN RTX 24GB (1350/7000MHz) ASUS NVIDIA GeForce RTX 2070 8GB (1410/7000MHz) Zotac NVIDIA GeForce GTX 1070 Ti 8GB (1607/4006MHz) Zotac NVIDIA GeForce RTX 2080 8GB (795/810MHz) NVIDIA GeForce RTX 2060 6GB (1365/7000MHz) NVIDIA GeForce GTX 1060 6GB (1506/4006MHz) NVIDIA GeForce GTX 1080 8GB (1607/5005MHz) NVIDIA GeForce GTX 1080 Ti 11GB (1480/5508MHz) eVGA NVIDIA GeForce GTX 1660 Ti 6GB (1500/6000MHz) NVIDIA GeForce GTX 980 4GB (1126/3505MHz) ASUS NVIDIA GeForce GTX 1660 6GB (1530/4001MHz) NVIDIA GeForce GTX 1070 8GB (1506/4006MHz) eVGA NVIDIA GeForce GTX 970 4GB (1163/3505MHz) NVIDIA GeForce RTX 2080 Ti 11GB (1350/7000MHz) Realtek ALC1220 Acer B286HK Intel I219-V Ubuntu 19.04 5.3.0-999-generic (x86_64) 20190914 5.0.0-29-generic (x86_64) GNOME Shell 3.32.2 X Server 1.20.4 NVIDIA 435.21 4.6.0 GCC 8.3.0 ext4 3840x2160 Processor Motherboard Chipset Memory Disk Graphics Audio Monitor Network OS Kernels Desktop Display Server Display Driver OpenGL Compiler File-System Screen Resolution NVIDIA Linux OpenCL CUDA RTX SUPER Compute Benchmarks System Logs - --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++ --enable-libmpx --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none --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 --with-tune=generic --without-cuda-driver -v - Scaling Governor: intel_pstate performance - RTX 2070 SUPER: GPU Compute Cores: 2560 - RTX 2060 SUPER: GPU Compute Cores: 2176 - GTX 980 Ti: GPU Compute Cores: 2816 - RTX 2080 SUPER: GPU Compute Cores: 3072 - TITAN RTX: GPU Compute Cores: 4608 - RTX 2070: GPU Compute Cores: 2304 - GTX 1070 Ti: GPU Compute Cores: 2432 - RTX 2080: GPU Compute Cores: 2944 - RTX 2060: GPU Compute Cores: 1920 - GTX 1060: GPU Compute Cores: 1280 - GTX 1080: GPU Compute Cores: 2560 - GTX 1080 Ti: GPU Compute Cores: 3584 - GTX 1660 Ti: GPU Compute Cores: 1536 - GTX 980: GPU Compute Cores: 2048 - GTX 1660: GPU Compute Cores: 1408 - GTX 1070: GPU Compute Cores: 1920 - GTX 970: GPU Compute Cores: 1664 - RTX 2080 Ti: GPU Compute Cores: 4352 - RTX 2070 SUPER, GTX 980 Ti, RTX 2080 SUPER, TITAN RTX, RTX 2070, GTX 1070 Ti, RTX 2080, RTX 2060, GTX 1060, GTX 1080, GTX 1080 Ti, GTX 1660 Ti, GTX 980, GTX 1660, GTX 1070, GTX 970, RTX 2080 Ti: Python 2.7.16 + Python 3.7.3 - l1tf: Not affected + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling
RTX 2070 SUPER RTX 2060 SUPER GTX 980 Ti RTX 2080 SUPER TITAN RTX RTX 2070 GTX 1070 Ti RTX 2080 RTX 2060 GTX 1060 GTX 1080 GTX 1080 Ti GTX 1660 Ti GTX 980 GTX 1660 GTX 1070 GTX 970 RTX 2080 Ti Logarithmic Result Overview Phoronix Test Suite clpeak SHOC Scalable HeterOgeneous Computing LuxMark PlaidML OctaneBench cl-mem FAHBench Darktable Rodinia LeelaChessZero NAMD CUDA JuliaGPU ViennaCL
RTX 2070 SUPER RTX 2060 SUPER GTX 980 Ti RTX 2080 SUPER TITAN RTX RTX 2070 GTX 1070 Ti RTX 2080 RTX 2060 GTX 1060 GTX 1080 GTX 1080 Ti GTX 1660 Ti GTX 980 GTX 1660 GTX 1070 GTX 970 RTX 2080 Ti Logarithmic Per Watt Result Overview Phoronix Test Suite clpeak PlaidML cl-mem SHOC Scalable HeterOgeneous Computing JuliaGPU ViennaCL FAHBench LuxMark LeelaChessZero OctaneBench P.W.G.M P.W.G.M P.W.G.M P.W.G.M P.W.G.M P.W.G.M P.W.G.M P.W.G.M P.W.G.M P.W.G.M
NVIDIA Linux OpenCL CUDA RTX SUPER Compute shoc: OpenCL - MD5 Hash shoc: OpenCL - FFT SP luxmark: GPU - Microphone darktable: Server Room - OpenCL plaidml: Yes - Inference - Inception V3 - OpenCL plaidml: Yes - Inference - VGG19 - OpenCL plaidml: No - Inference - VGG19 - OpenCL plaidml: Yes - Inference - VGG16 - OpenCL plaidml: No - Inference - VGG16 - OpenCL plaidml: Yes - Inference - NASNer Large - OpenCL cl-mem: Read clpeak: Double-Precision Double shoc: OpenCL - Max SP Flops luxmark: GPU - Luxball HDR plaidml: No - Inference - IMDB LSTM - OpenCL plaidml: Yes - Inference - ResNet 50 - OpenCL cl-mem: Write luxmark: GPU - Hotel clpeak: Global Memory Bandwidth plaidml: No - Inference - Mobilenet - OpenCL plaidml: No - Inference - Inception V3 - OpenCL clpeak: Single-Precision Float plaidml: No - Inference - ResNet 50 - OpenCL octanebench: Total Score plaidml: Yes - Inference - Mobilenet - OpenCL plaidml: Yes - Inference - DenseNet 201 - OpenCL fahbench: rodinia: OpenCL Particle Filter darktable: Boat - OpenCL cl-mem: Copy lczero: OpenCL clpeak: Integer Compute INT namd-cuda: ATPase Simulation - 327,506 Atoms juliagpu: GPU rodinia: OpenCL Myocyte darktable: Masskrug - OpenCL viennacl: OpenCL LU Factorization RTX 2070 SUPER RTX 2060 SUPER GTX 980 Ti RTX 2080 SUPER TITAN RTX RTX 2070 GTX 1070 Ti RTX 2080 RTX 2060 GTX 1060 GTX 1080 GTX 1080 Ti GTX 1660 Ti GTX 980 GTX 1660 GTX 1070 GTX 970 RTX 2080 Ti 21.78 1088.17 20499 0.80 239.61 97.82 122.32 123.20 154.64 55.24 395.67 310.27 9869.34 29734 499.69 283.98 319.57 6565 369.11 1649.17 215.85 8502.71 421.58 220.76 2264.97 190.01 229.12 6.82 1.93 291.87 1604.21 8570.60 0.19501 275868151.17 30.76 3.71 70.45 18.22 971.24 18509 0.75 219.76 80.82 101.17 102.58 128.22 48.96 395.67 263.11 8378.87 30093 440.79 250.98 333.20 6148 367.92 1531.01 199.43 7089.50 374.71 205.23 1983.82 179.51 205.20 7.87 1.95 287.80 998.17 7023.07 0.19336 264172441.47 30.42 3.68 69.17 9.22 725.98 11096 1.51 116.31 56.13 68.47 71.26 87.39 30.64 265.33 196.60 6213.97 16871 270.00 162.63 241.50 3885 263.22 990.12 135.14 5538.75 247.47 142.20 1202.77 111.46 116.02 9.95 3.27 216.83 466.84 1610.28 0.28675 195653728.47 52.13 4.12 62.01 26.56 1203.57 20164 0.79 301.11 115.44 143.02 145.65 180.45 64.80 436.27 378.98 12015.50 30179 589.86 327.80 345.77 6839 405.00 1762.00 259.26 10335.50 468.70 233.56 2437.48 200.38 256.83 5.74 1.82 301.23 2105.26 10404.71 0.19385 286818331.27 30.63 3.69 71.47 36.39 1578.29 30756 0.74 373.71 162.05 196.44 204.67 247.83 87.17 566.70 547.97 17334.00 46546 790.77 433.81 495.37 9836 528.89 2466.66 347.93 14203.87 648.36 322.76 2842.38 263.13 301.93 4.24 1.64 322.20 3126.48 13841.25 0.18867 303198573.97 31.69 3.66 72.96 18.77 976.78 18441 0.75 220.99 83.56 103.89 105.60 131.54 49.94 395.70 268.32 8528.70 30097 446.23 251.07 322.67 6150 368.96 1516.96 198.03 7198.64 376.73 206.88 1969.50 176.49 204.71 7.75 1.93 284.43 999.75 7161.48 0.19440 267086274.53 31.64 3.67 69.41 11.70 525.89 10259 1.17 147.04 73.12 90.34 92.03 114.03 35.41 205.27 242.63 7715.42 16925 333.03 205.85 190.03 4170 197.26 1009.26 153.34 6770.97 294.36 141.35 1371.21 130.15 138.21 7.88 2.93 182.70 753.69 2076.93 0.22269 220447755.87 38.70 3.97 64.68 24.07 1100.00 19916 0.80 268.33 105.54 129.58 133.20 164.05 58.47 395.70 345.81 10952.77 29164 548.83 305.76 331.50 6590 368.47 1663.87 238.73 8883.90 441.24 222.88 2292.38 189.28 242.75 6.22 1.90 289.20 1879.99 9660.92 0.19307 280162469.67 31.65 3.71 70.96 16.04 818.44 13754 0.83 193.75 71.07 88.04 89.55 110.93 41.11 296.20 231.44 7320.73 21683 389.40 220.44 241.20 4833 275.86 1232.47 167.87 5329.07 319.25 164.52 1694.07 154.19 183.41 8.90 2.22 237.77 704.69 5269.01 0.20250 251925176.90 31.11 3.73 67.92 7.26 326.68 7086 1.28 97.83 44.37 54.78 56.07 69.31 23.16 153.50 149.58 4788.92 12245 224.89 130.64 144.57 2648 146.62 726.30 104.44 4199.71 196.00 91.44 908.43 91.07 102.61 11.93 3.65 137.20 262.41 1267.89 0.31789 182188318.67 34.69 4.07 58.67 14.25 614.69 8716 1.09 173.79 83.83 101.00 106.09 128.05 40.38 228.80 297.94 9407.75 13788 399.00 240.62 214.67 3807 222.09 1123.85 184.80 8314.29 337.47 147.98 1544.50 143.53 155.22 6.49 2.72 205.93 1146.75 2430.74 0.20978 237914974.40 34.87 3.94 66.67 19.72 982.23 13721 1.05 228.68 115.03 138.68 145.42 175.37 56.64 337.53 414.96 13230.77 21689 523.98 333.54 340.27 5649 328.90 1672.73 257.55 11720.57 496.24 212.04 2162.58 191.31 198.25 4.96 2.29 283.20 1886.30 3301.89 0.19669 262248899.33 35.91 3.92 69.09 12.98 665.66 11003 1.15 161.33 58.03 73.35 73.18 92.45 34.12 250.23 185.12 5893.41 16147 315.83 172.68 208.67 3805 234.67 1002.00 140.05 4793.66 259.43 132.28 1394.05 114.58 139.81 10.82 2.92 208.50 420.04 4775.45 0.23185 239300837.60 30.67 4.02 66.06 7.49 458.35 8914 3.10 101.92 43.63 53.49 55.70 68.95 24.24 164.50 159.68 5052.73 13246 231.66 142.14 151.50 3048 164.25 759.43 105.64 4476.69 203.91 109.70 973.39 92.92 102.86 11.69 3.92 143.40 280.99 1312.06 0.33110 181882709.77 47.38 5.74 59.21 11.87 452.89 9794 1.18 137.66 52.52 67.24 66.24 84.83 28.99 162.90 168.44 5329.84 15162 287.68 156.50 148.87 3733 157.60 814.65 116.90 4610.01 228.14 118.49 1160.52 102.83 126.64 11.87 3.35 145.37 335.86 4657.79 0.25031 230919642.13 30.97 4.01 65.10 10.61 478.54 9983 1.11 141.55 63.56 76.89 80.27 97.32 33.07 205.27 223.91 7115.39 17290 315.37 196.01 190.90 3870 196.47 987.69 147.17 6269.49 276.89 132.86 1288.94 127.02 140.29 8.26 2.89 182.00 642.12 1685.05 0.23957 216942144.93 35.10 3.92 63.86 6.50 411.29 7985 3.16 88.16 39.34 47.70 49.76 60.32 21.42 142.10 137.47 4362.31 11732 204.32 116.05 132.60 2730 143.48 671.49 94.72 3888.16 181.87 95.60 841.48 79.71 91.53 12.99 4.42 124.77 207.84 1140.29 0.36368 169258044.90 45.48 5.78 56.95 34.91 1485.73 28631 0.75 363.16 154.20 186.19 194.83 234.65 84.97 544.33 521.90 16656.20 42974 758.21 424.07 441.23 9215 506.33 2335.46 343.49 13532.74 634.09 309.04 2750.57 254.45 301.89 4.39 1.64 324.40 3032.10 13609.33 0.18909 299834728.80 31.05 3.66 72.71 OpenBenchmarking.org
SHOC Scalable HeterOgeneous Computing OpenBenchmarking.org GHash/s Per Watt, More Is Better SHOC Scalable HeterOgeneous Computing 2015-11-10 Target: OpenCL - Benchmark: MD5 Hash GTX 970 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2070 SUPER 0.0833 0.1666 0.2499 0.3332 0.4165 0.05 0.26 0.08 0.26 0.15 0.11 0.12 0.21 0.15 0.37 0.32 0.04 0.30
NAMD CUDA OpenBenchmarking.org Watts, Fewer Is Better NAMD CUDA 2.13 System Power Consumption Monitor RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 70 140 210 280 350 Min: 53.9 / Avg: 251.92 / Max: 374 Min: 51.3 / Avg: 258.19 / Max: 306.3 Min: 48.2 / Avg: 206.59 / Max: 286.9 Min: 44.9 / Avg: 177.54 / Max: 262.4 Min: 52.6 / Avg: 238.95 / Max: 329.4 Min: 47.7 / Avg: 177.22 / Max: 273.9 Min: 55.3 / Avg: 266.23 / Max: 380 Min: 48.6 / Avg: 253.18 / Max: 326.9 Min: 45.2 / Avg: 198.8 / Max: 269.5 Min: 46.1 / Avg: 197.89 / Max: 303.8 Min: 52.9 / Avg: 238.49 / Max: 342.9 Min: 50.3 / Avg: 198.82 / Max: 259.9 Min: 50 / Avg: 202.69 / Max: 321.3 Min: 54.3 / Avg: 214.96 / Max: 367.7 Min: 48.8 / Avg: 219.44 / Max: 330.5 Min: 55.9 / Avg: 272.91 / Max: 370.3 Min: 48.4 / Avg: 233.81 / Max: 312 Min: 47.2 / Avg: 198.42 / Max: 323.3
SHOC Scalable HeterOgeneous Computing OpenBenchmarking.org Watts, Fewer Is Better SHOC Scalable HeterOgeneous Computing 2015-11-10 System Power Consumption Monitor RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 70 140 210 280 350 Min: 51.3 / Avg: 217.17 / Max: 360 Min: 80.6 / Avg: 148.92 / Max: 222.7 Min: 78 / Avg: 141.46 / Max: 206.4 Min: 44.5 / Avg: 106.24 / Max: 161 Min: 97.6 / Avg: 160.93 / Max: 243.5 Min: 46.4 / Avg: 118.75 / Max: 170.7 Min: 49.6 / Avg: 199.67 / Max: 326.6 Min: 94 / Avg: 157.13 / Max: 259.6 Min: 74.8 / Avg: 119.53 / Max: 184.8 Min: 47 / Avg: 145.37 / Max: 229.5 Min: 48.7 / Avg: 171.33 / Max: 292.2 Min: 50.5 / Avg: 125.61 / Max: 179.8 Min: 47.9 / Avg: 149.29 / Max: 251.7 Min: 52 / Avg: 223.03 / Max: 367 Min: 47 / Avg: 164.08 / Max: 318.6 Min: 126.9 / Avg: 193.91 / Max: 298.6 Min: 46.8 / Avg: 148.63 / Max: 238 Min: 47.1 / Avg: 150.09 / Max: 265.5
LeelaChessZero OpenBenchmarking.org Watts, Fewer Is Better LeelaChessZero 0.22.0 System Power Consumption Monitor GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 70 140 210 280 350 Min: 82.3 / Avg: 164.63 / Max: 252.9 Min: 71.9 / Avg: 152.4 / Max: 214.7 Min: 46.5 / Avg: 118.46 / Max: 180.4 Min: 51.8 / Avg: 153.94 / Max: 247.5 Min: 47.9 / Avg: 134.26 / Max: 195.9 Min: 106.6 / Avg: 215.46 / Max: 320.5 Min: 48.8 / Avg: 161.47 / Max: 252.9 Min: 47.2 / Avg: 138.37 / Max: 187.2 Min: 49.1 / Avg: 147.07 / Max: 231.4 Min: 52.8 / Avg: 175.13 / Max: 286.6 Min: 52 / Avg: 128.59 / Max: 197.7 Min: 48.6 / Avg: 172.95 / Max: 253.7 Min: 53.3 / Avg: 197.7 / Max: 371.4 Min: 47.5 / Avg: 170.9 / Max: 315 Min: 59.1 / Avg: 216.14 / Max: 319.4 Min: 45.5 / Avg: 151.83 / Max: 241.9 Min: 47.2 / Avg: 178.69 / Max: 276
LuxMark OpenBenchmarking.org Watts, Fewer Is Better LuxMark 3.1 System Power Consumption Monitor RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 70 140 210 280 350 Min: 54.2 / Avg: 341.41 / Max: 361 Min: 50.9 / Avg: 198.98 / Max: 206.3 Min: 48.8 / Avg: 197.56 / Max: 206 Min: 46.7 / Avg: 154.16 / Max: 157.9 Min: 51.4 / Avg: 215.19 / Max: 226.6 Min: 47.2 / Avg: 169.1 / Max: 176.4 Min: 55.9 / Avg: 282.16 / Max: 295.6 Min: 47.9 / Avg: 205.71 / Max: 214.4 Min: 45.7 / Avg: 155.74 / Max: 161.6 Min: 50.4 / Avg: 210.86 / Max: 220.4 Min: 52.6 / Avg: 269.03 / Max: 281.5 Min: 51.1 / Avg: 162.66 / Max: 167.9 Min: 51.8 / Avg: 241 / Max: 251.5 Min: 57.7 / Avg: 358.16 / Max: 371 Min: 50.8 / Avg: 249.5 / Max: 264.2 Min: 57.2 / Avg: 255.39 / Max: 271.7 Min: 47.9 / Avg: 233.07 / Max: 242.2 Min: 47.6 / Avg: 241.53 / Max: 254.1
PlaidML OpenBenchmarking.org Watts, Fewer Is Better PlaidML System Power Consumption Monitor RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 60 120 180 240 300 Min: 52.9 / Avg: 251.39 / Max: 354 Min: 75.4 / Avg: 201.26 / Max: 220.7 Min: 84.2 / Avg: 180.68 / Max: 209.8 Min: 46 / Avg: 160.67 / Max: 185.8 Min: 55.7 / Avg: 208.34 / Max: 246.7 Min: 48.3 / Avg: 167.7 / Max: 196.3 Min: 55.7 / Avg: 245.95 / Max: 321.1 Min: 89.9 / Avg: 209.47 / Max: 253.5 Min: 45.1 / Avg: 170.04 / Max: 188.8 Min: 50.1 / Avg: 192.21 / Max: 230.7 Min: 49.9 / Avg: 230.45 / Max: 288.2 Min: 52.4 / Avg: 180.41 / Max: 207.7 Min: 49.7 / Avg: 197.21 / Max: 252.5 Min: 53.2 / Avg: 260.22 / Max: 361.7 Min: 49.5 / Avg: 224.18 / Max: 302.6 Min: 119.7 / Avg: 273.57 / Max: 330.8 Min: 55 / Avg: 193.52 / Max: 240.6 Min: 47.5 / Avg: 199.98 / Max: 276.8
OctaneBench OpenBenchmarking.org Watts, Fewer Is Better OctaneBench 4.00c System Power Consumption Monitor RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 60 120 180 240 300 Min: 51.7 / Avg: 322.94 / Max: 355.5 Min: 50.8 / Avg: 160.22 / Max: 180 Min: 86 / Avg: 157.88 / Max: 173.8 Min: 46.3 / Avg: 127.11 / Max: 144.7 Min: 53.6 / Avg: 178.66 / Max: 203.2 Min: 47.1 / Avg: 145.79 / Max: 161.1 Min: 130.6 / Avg: 236.94 / Max: 265 Min: 48.3 / Avg: 167.77 / Max: 228.3 Min: 44.9 / Avg: 120.33 / Max: 135.2 Min: 49.8 / Avg: 188.5 / Max: 218.2 Min: 50 / Avg: 239.21 / Max: 278.1 Min: 52.2 / Avg: 132.45 / Max: 182.7 Min: 47.1 / Avg: 215.17 / Max: 242.1 Min: 55.3 / Avg: 326.69 / Max: 357.7 Min: 47.8 / Avg: 225.1 / Max: 261.8 Min: 128.3 / Avg: 220.62 / Max: 240 Min: 46.5 / Avg: 210.53 / Max: 232.6 Min: 49 / Avg: 211.57 / Max: 245.6
PlaidML OpenBenchmarking.org Watts, Fewer Is Better PlaidML System Power Consumption Monitor RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 60 120 180 240 300 Min: 52.7 / Avg: 239.16 / Max: 354.3 Min: 94.5 / Avg: 195.88 / Max: 219.3 Min: 50 / Avg: 172.78 / Max: 208.8 Min: 45.6 / Avg: 146.27 / Max: 182 Min: 90.4 / Avg: 213.83 / Max: 251.4 Min: 46.4 / Avg: 163.81 / Max: 195.7 Min: 51.8 / Avg: 234.29 / Max: 318.4 Min: 46.2 / Avg: 209.24 / Max: 254.3 Min: 69.4 / Avg: 166.46 / Max: 190 Min: 48.4 / Avg: 179.22 / Max: 228.5 Min: 48.9 / Avg: 201.23 / Max: 285.7 Min: 52.3 / Avg: 169.99 / Max: 205.7 Min: 48.4 / Avg: 193.79 / Max: 250.6 Min: 52.4 / Avg: 239.94 / Max: 363 Min: 47.7 / Avg: 218.91 / Max: 299.1 Min: 56.5 / Avg: 270.73 / Max: 328.7 Min: 53.3 / Avg: 181.51 / Max: 239.5 Min: 47.2 / Avg: 191.71 / Max: 276.3
clpeak OpenBenchmarking.org Watts, Fewer Is Better clpeak System Power Consumption Monitor GTX 1660 Ti GTX 1080 Ti GTX 1060 RTX 2070 TITAN RTX RTX 2080 SUPER RTX 2060 SUPER RTX 2070 SUPER 70 140 210 280 350 Min: 46.4 / Avg: 77.81 / Max: 158.1 Min: 52.4 / Avg: 199.89 / Max: 328.7 Min: 66.2 / Avg: 117.06 / Max: 191 Min: 47.8 / Avg: 135.68 / Max: 254.5 Min: 52.5 / Avg: 207.88 / Max: 366.7 Min: 47.9 / Avg: 144.19 / Max: 288.8 Min: 47.4 / Avg: 86.98 / Max: 242.5 Min: 47.5 / Avg: 141.91 / Max: 279.4
LuxMark OpenBenchmarking.org Watts, Fewer Is Better LuxMark 3.1 System Power Consumption Monitor RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 60 120 180 240 300 Min: 53.9 / Avg: 326.39 / Max: 340.7 Min: 52.2 / Avg: 180.29 / Max: 185.6 Min: 48.6 / Avg: 181.94 / Max: 188.2 Min: 45.9 / Avg: 139.49 / Max: 144 Min: 87.7 / Avg: 195.16 / Max: 205 Min: 48.2 / Avg: 157.16 / Max: 163.8 Min: 107.7 / Avg: 245.73 / Max: 254 Min: 75.8 / Avg: 180.11 / Max: 185.5 Min: 76 / Avg: 146.92 / Max: 152 Min: 47.4 / Avg: 192.86 / Max: 200.8 Min: 52.5 / Avg: 244.9 / Max: 255.3 Min: 52.3 / Avg: 151.74 / Max: 155.9 Min: 50.1 / Avg: 230.98 / Max: 243.5 Min: 53.7 / Avg: 338.9 / Max: 360.6 Min: 49.4 / Avg: 230.52 / Max: 238 Min: 130.4 / Avg: 238.82 / Max: 247.5 Min: 47.2 / Avg: 229.14 / Max: 241 Min: 47.5 / Avg: 217.27 / Max: 227.7
PlaidML OpenBenchmarking.org Watts, Fewer Is Better PlaidML System Power Consumption Monitor RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 60 120 180 240 300 Min: 52.9 / Avg: 210.77 / Max: 350.6 Min: 89.6 / Avg: 193.7 / Max: 220.3 Min: 70.7 / Avg: 170.23 / Max: 208.9 Min: 45.5 / Avg: 136.67 / Max: 171.6 Min: 53.3 / Avg: 201.25 / Max: 246.9 Min: 48.2 / Avg: 154.23 / Max: 191.6 Min: 120.6 / Avg: 236.48 / Max: 318.6 Min: 91.2 / Avg: 194.23 / Max: 252.2 Min: 45.9 / Avg: 157.15 / Max: 187.3 Min: 48.9 / Avg: 179.62 / Max: 228 Min: 52.6 / Avg: 181.66 / Max: 277.7 Min: 51.9 / Avg: 158.16 / Max: 196.1 Min: 48.7 / Avg: 189.06 / Max: 250.5 Min: 52.8 / Avg: 227.24 / Max: 356.3 Min: 49.1 / Avg: 194.92 / Max: 278.5 Min: 71.2 / Avg: 244.52 / Max: 316.6 Min: 57.1 / Avg: 209.61 / Max: 237.5 Min: 47.2 / Avg: 198.27 / Max: 271.7
LuxMark OpenBenchmarking.org Watts, Fewer Is Better LuxMark 3.1 System Power Consumption Monitor RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 60 120 180 240 300 Min: 55.9 / Avg: 318.95 / Max: 337.2 Min: 51.9 / Avg: 177.8 / Max: 184.4 Min: 49 / Avg: 170.27 / Max: 177.6 Min: 46 / Avg: 137.52 / Max: 142.7 Min: 51 / Avg: 193.46 / Max: 203.7 Min: 48 / Avg: 156.46 / Max: 161.4 Min: 52.7 / Avg: 237.89 / Max: 245.4 Min: 49.1 / Avg: 173.32 / Max: 180.3 Min: 45.6 / Avg: 138.57 / Max: 144.8 Min: 48.6 / Avg: 190.73 / Max: 198.4 Min: 53.8 / Avg: 241.11 / Max: 251.4 Min: 50.1 / Avg: 145.89 / Max: 150.4 Min: 51.5 / Avg: 219.74 / Max: 234.1 Min: 60.2 / Avg: 337.98 / Max: 356.9 Min: 47.8 / Avg: 225.09 / Max: 235.4 Min: 112.5 / Avg: 234.81 / Max: 244.3 Min: 49.8 / Avg: 222.76 / Max: 232.3 Min: 47.6 / Avg: 220.93 / Max: 232.4
PlaidML OpenBenchmarking.org Watts, Fewer Is Better PlaidML System Power Consumption Monitor RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 60 120 180 240 300 Min: 52.7 / Avg: 188.04 / Max: 345.4 Min: 51.5 / Avg: 184.27 / Max: 233.4 Min: 47.7 / Avg: 162.2 / Max: 207.3 Min: 45.6 / Avg: 137.8 / Max: 169.2 Min: 69.1 / Avg: 196.2 / Max: 247.2 Min: 47.3 / Avg: 151.58 / Max: 191.5 Min: 118 / Avg: 235.58 / Max: 316.5 Min: 88.2 / Avg: 189.28 / Max: 251.8 Min: 45.8 / Avg: 152.31 / Max: 187.6 Min: 48.1 / Avg: 163.79 / Max: 226.4 Min: 54.1 / Avg: 173.35 / Max: 273.1 Min: 95.2 / Avg: 160.1 / Max: 191.4 Min: 48.1 / Avg: 174.02 / Max: 249.3 Min: 53.8 / Avg: 216.91 / Max: 353.5 Min: 49.4 / Avg: 181.31 / Max: 274.6 Min: 55.1 / Avg: 244.29 / Max: 316.2 Min: 54 / Avg: 187.95 / Max: 233.7 Min: 46.7 / Avg: 187.65 / Max: 267.6
OpenBenchmarking.org Watts, Fewer Is Better PlaidML System Power Consumption Monitor RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 60 120 180 240 300 Min: 50.4 / Avg: 231.53 / Max: 336 Min: 94.8 / Avg: 192.64 / Max: 216.8 Min: 83.7 / Avg: 182.29 / Max: 211.2 Min: 44.8 / Avg: 135.27 / Max: 159.9 Min: 99.4 / Avg: 199.9 / Max: 241.3 Min: 46.5 / Avg: 154.44 / Max: 184.5 Min: 107 / Avg: 238.78 / Max: 315.7 Min: 48.2 / Avg: 203.49 / Max: 246 Min: 75.4 / Avg: 157.49 / Max: 178.6 Min: 48.1 / Avg: 176.3 / Max: 224.1 Min: 49.7 / Avg: 201.32 / Max: 272.7 Min: 51.4 / Avg: 151.49 / Max: 175.5 Min: 48 / Avg: 190.9 / Max: 247 Min: 51.3 / Avg: 235.38 / Max: 341.7 Min: 46.7 / Avg: 204.84 / Max: 277 Min: 124.3 / Avg: 237.03 / Max: 284.6 Min: 54.2 / Avg: 192.58 / Max: 235.4 Min: 46.5 / Avg: 184.51 / Max: 249.7
FAHBench OpenBenchmarking.org Watts, Fewer Is Better FAHBench 2.3.2 System Power Consumption Monitor RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 60 120 180 240 300 Min: 49.7 / Avg: 218.05 / Max: 323.3 Min: 48.8 / Avg: 147.69 / Max: 193 Min: 43.8 / Avg: 145.58 / Max: 193.2 Min: 46.5 / Avg: 114.3 / Max: 152.8 Min: 49.8 / Avg: 159.19 / Max: 211.9 Min: 47.6 / Avg: 127.19 / Max: 170.3 Min: 77.6 / Avg: 195.24 / Max: 264.4 Min: 44.9 / Avg: 154.62 / Max: 208.2 Min: 66.3 / Avg: 124.04 / Max: 159.6 Min: 45.7 / Avg: 151.46 / Max: 214.2 Min: 47.5 / Avg: 176.01 / Max: 263 Min: 49.1 / Avg: 125.16 / Max: 155 Min: 46 / Avg: 158.7 / Max: 226.7 Min: 52.5 / Avg: 226.18 / Max: 324.2 Min: 64 / Avg: 177.55 / Max: 252.2 Min: 56.3 / Avg: 186.17 / Max: 244.4 Min: 48.5 / Avg: 161.35 / Max: 226.3 Min: 46.6 / Avg: 161.4 / Max: 230
PlaidML OpenBenchmarking.org Watts, Fewer Is Better PlaidML System Power Consumption Monitor RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 60 120 180 240 300 Min: 51.8 / Avg: 206.66 / Max: 321.6 Min: 81.4 / Avg: 182.54 / Max: 219.9 Min: 84.3 / Avg: 149.15 / Max: 206.1 Min: 46.3 / Avg: 123.06 / Max: 152.7 Min: 56.7 / Avg: 188.31 / Max: 242.7 Min: 46.3 / Avg: 136.65 / Max: 177.5 Min: 128 / Avg: 191.53 / Max: 304 Min: 84.7 / Avg: 196.13 / Max: 242.5 Min: 46.9 / Avg: 150.12 / Max: 180 Min: 47.6 / Avg: 150.66 / Max: 214.3 Min: 49.4 / Avg: 176.08 / Max: 254.9 Min: 51.1 / Avg: 141.76 / Max: 172.5 Min: 49.8 / Avg: 167.7 / Max: 230.4 Min: 56.2 / Avg: 178.56 / Max: 327.6 Min: 49.6 / Avg: 170.73 / Max: 255.1 Min: 126.5 / Avg: 220.09 / Max: 281.6 Min: 54.4 / Avg: 162.79 / Max: 223.8 Min: 49.5 / Avg: 161.34 / Max: 234.9
OpenBenchmarking.org Watts, Fewer Is Better PlaidML System Power Consumption Monitor GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 60 120 180 240 300 Min: 83.3 / Avg: 172.91 / Max: 233.2 Min: 89.6 / Avg: 153.55 / Max: 208.4 Min: 46.3 / Avg: 119.8 / Max: 159.7 Min: 53 / Avg: 176.69 / Max: 244.6 Min: 47.9 / Avg: 141.14 / Max: 182.8 Min: 56.4 / Avg: 186.43 / Max: 312.7 Min: 48.4 / Avg: 149.71 / Max: 246.6 Min: 45.9 / Avg: 132.6 / Max: 182.3 Min: 48.6 / Avg: 147.64 / Max: 221.8 Min: 52 / Avg: 137.63 / Max: 231.8 Min: 52.2 / Avg: 140.17 / Max: 177.3 Min: 47.5 / Avg: 122.1 / Max: 239.9 Min: 52.7 / Avg: 128.84 / Max: 167.9 Min: 49.4 / Avg: 162.94 / Max: 270.3 Min: 129.1 / Avg: 233.7 / Max: 292 Min: 55.4 / Avg: 144.71 / Max: 231.4 Min: 46.8 / Avg: 145.98 / Max: 249.6
clpeak OpenBenchmarking.org Watts, Fewer Is Better clpeak System Power Consumption Monitor GTX 970 GTX 980 GTX 1660 Ti RTX 2070 TITAN RTX GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 60 120 180 240 300 Min: 51.4 / Avg: 98.78 / Max: 148.8 Min: 52.5 / Avg: 122.69 / Max: 181.1 Min: 45.5 / Avg: 67.18 / Max: 127.1 Min: 48.2 / Avg: 96.86 / Max: 180.2 Min: 50.6 / Avg: 137.09 / Max: 308.7 Min: 54.9 / Avg: 131.87 / Max: 194.2 Min: 46.6 / Avg: 63.45 / Max: 103 Min: 47.5 / Avg: 69.91 / Max: 138.9
PlaidML OpenBenchmarking.org Watts, Fewer Is Better PlaidML System Power Consumption Monitor RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 50 100 150 200 250 Min: 51.5 / Avg: 167.74 / Max: 291.7 Min: 81.7 / Avg: 163.48 / Max: 201.2 Min: 77.9 / Avg: 157.58 / Max: 202.6 Min: 44.8 / Avg: 109.89 / Max: 143.5 Min: 52.8 / Avg: 183.08 / Max: 228.8 Min: 47.3 / Avg: 117.8 / Max: 162 Min: 55.7 / Avg: 189.84 / Max: 284.9 Min: 94.6 / Avg: 159.56 / Max: 227.4 Min: 68.7 / Avg: 129.36 / Max: 164 Min: 47.9 / Avg: 142.09 / Max: 199.4 Min: 50.7 / Avg: 139.72 / Max: 234.8 Min: 51.5 / Avg: 131.42 / Max: 162.8 Min: 49 / Avg: 148.17 / Max: 210.6 Min: 55.6 / Avg: 169.21 / Max: 293 Min: 48.5 / Avg: 147.96 / Max: 225.2 Min: 127.5 / Avg: 205.03 / Max: 260.5 Min: 54.4 / Avg: 144.26 / Max: 207.2 Min: 47.9 / Avg: 135.09 / Max: 211.7
OpenBenchmarking.org Watts, Fewer Is Better PlaidML System Power Consumption Monitor RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 50 100 150 200 250 Min: 50.7 / Avg: 178.03 / Max: 280 Min: 72.9 / Avg: 158.81 / Max: 190.7 Min: 70.5 / Avg: 148.83 / Max: 185.2 Min: 44.4 / Avg: 112.99 / Max: 143 Min: 99.3 / Avg: 168.06 / Max: 211.7 Min: 46.7 / Avg: 122.59 / Max: 164 Min: 125.6 / Avg: 201.87 / Max: 257 Min: 84.5 / Avg: 158.48 / Max: 204.6 Min: 55.5 / Avg: 124.66 / Max: 155.7 Min: 48.8 / Avg: 144.1 / Max: 197.4 Min: 49 / Avg: 153.24 / Max: 230.1 Min: 51 / Avg: 131.33 / Max: 154.1 Min: 47.6 / Avg: 141.04 / Max: 207.9 Min: 51.1 / Avg: 182.86 / Max: 282.6 Min: 48.4 / Avg: 151.02 / Max: 226.9 Min: 128.3 / Avg: 193.81 / Max: 239.9 Min: 53 / Avg: 147.84 / Max: 203.6 Min: 46.6 / Avg: 139.53 / Max: 205.1
clpeak OpenBenchmarking.org GFLOPS Per Watt, More Is Better clpeak OpenCL Test: Single-Precision Float RTX 2080 Ti GTX 970 GTX 1070 GTX 980 GTX 1660 Ti GTX 1080 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 50 100 150 200 250 222.09 39.36 70.63 36.49 71.35 89.11 109.20 79.25 84.46 74.32 103.61 84.49 42.00 111.74 121.62
PlaidML OpenBenchmarking.org Watts, Fewer Is Better PlaidML System Power Consumption Monitor RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 50 100 150 200 250 Min: 52.4 / Avg: 173.16 / Max: 273 Min: 52.1 / Avg: 148.78 / Max: 190.2 Min: 48.3 / Avg: 135.38 / Max: 188.6 Min: 45.8 / Avg: 106.92 / Max: 138.1 Min: 53.5 / Avg: 157.67 / Max: 213.1 Min: 48.2 / Avg: 115.16 / Max: 152 Min: 109.8 / Avg: 203.83 / Max: 255.3 Min: 49.1 / Avg: 151.63 / Max: 200.9 Min: 45.7 / Avg: 125.77 / Max: 157.6 Min: 49 / Avg: 134.34 / Max: 190.3 Min: 51.5 / Avg: 146.49 / Max: 216.5 Min: 53.5 / Avg: 128.35 / Max: 157.6 Min: 51.5 / Avg: 138.71 / Max: 203.8 Min: 52.7 / Avg: 173.29 / Max: 277.5 Min: 48.8 / Avg: 141.86 / Max: 214.3 Min: 57 / Avg: 191.08 / Max: 247.4 Min: 55.8 / Avg: 142.16 / Max: 204.9 Min: 49.1 / Avg: 124.58 / Max: 203.3
clpeak OpenBenchmarking.org GBPS Per Watt, More Is Better clpeak OpenCL Test: Global Memory Bandwidth RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 3 6 9 12 15 9.15 1.52 2.63 3.16 1.65 2.24 2.73 2.26 1.84 5.09 1.92 3.33 6.18 4.86 2.02 4.88 5.41
PlaidML OpenBenchmarking.org Watts, Fewer Is Better PlaidML System Power Consumption Monitor RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 50 100 150 200 250 Min: 52.6 / Avg: 166.27 / Max: 275.3 Min: 94.4 / Avg: 160.18 / Max: 203.4 Min: 50.4 / Avg: 132.86 / Max: 187.3 Min: 46.3 / Avg: 96.5 / Max: 135.8 Min: 100 / Avg: 162.49 / Max: 218.7 Min: 46.6 / Avg: 100.43 / Max: 150.5 Min: 48.5 / Avg: 142.23 / Max: 208.8 Min: 46.3 / Avg: 122.88 / Max: 159.6 Min: 49.2 / Avg: 125.65 / Max: 186.5 Min: 56.5 / Avg: 138.96 / Max: 215.1 Min: 52.4 / Avg: 128.8 / Max: 152 Min: 51.8 / Avg: 130.6 / Max: 207.8 Min: 57.1 / Avg: 192.1 / Max: 249.1 Min: 54.9 / Avg: 136.39 / Max: 187.2 Min: 49.2 / Avg: 136.18 / Max: 192.6
SHOC Scalable HeterOgeneous Computing The CUDA and OpenCL version of Vetter's Scalable HeterOgeneous Computing benchmark suite. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org GHash/s, More Is Better SHOC Scalable HeterOgeneous Computing 2015-11-10 Target: OpenCL - Benchmark: MD5 Hash RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 8 16 24 32 40 SE +/- 0.12, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 34.91 6.50 10.61 11.87 7.49 12.98 19.72 14.25 7.26 16.04 24.07 11.70 18.77 36.39 26.56 9.22 18.22 21.78 1. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi Result Confidence
OpenBenchmarking.org GHash/s, More Is Better SHOC Scalable HeterOgeneous Computing 2015-11-10 Target: OpenCL - Benchmark: MD5 Hash RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 8 16 24 32 40 Min: 34.68 / Avg: 34.91 / Max: 35.05 Min: 6.5 / Avg: 6.5 / Max: 6.5 Min: 10.59 / Avg: 10.61 / Max: 10.65 Min: 11.87 / Avg: 11.87 / Max: 11.88 Min: 7.49 / Avg: 7.49 / Max: 7.5 Min: 12.97 / Avg: 12.98 / Max: 12.98 Min: 19.66 / Avg: 19.72 / Max: 19.8 Min: 14.22 / Avg: 14.25 / Max: 14.3 Min: 7.26 / Avg: 7.26 / Max: 7.27 Min: 16 / Avg: 16.04 / Max: 16.09 Min: 24.05 / Avg: 24.07 / Max: 24.09 Min: 11.69 / Avg: 11.7 / Max: 11.7 Min: 18.71 / Avg: 18.77 / Max: 18.81 Min: 36.32 / Avg: 36.39 / Max: 36.51 Min: 26.52 / Avg: 26.56 / Max: 26.57 Min: 9.22 / Avg: 9.22 / Max: 9.23 Min: 18.18 / Avg: 18.22 / Max: 18.24 Min: 21.72 / Avg: 21.78 / Max: 21.89 1. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi
Rodinia OpenBenchmarking.org Watts, Fewer Is Better Rodinia 2.4 System Power Consumption Monitor GTX 970 GTX 1660 GTX 980 GTX 1660 Ti GTX 1060 RTX 2060 GTX 1070 Ti GTX 980 Ti RTX 2070 SUPER 40 80 120 160 200 Min: 50.5 / Avg: 141.83 / Max: 190 Min: 45.1 / Avg: 88.85 / Max: 116.6 Min: 52.6 / Avg: 156.47 / Max: 203.2 Min: 46 / Avg: 107.04 / Max: 129.7 Min: 44.7 / Avg: 111.27 / Max: 154.1 Min: 47.6 / Avg: 121.91 / Max: 156.6 Min: 50.3 / Avg: 101.74 / Max: 149.4 Min: 54.7 / Avg: 167.04 / Max: 233.5 Min: 47 / Avg: 103.36 / Max: 166
clpeak OpenBenchmarking.org Watts, Fewer Is Better clpeak System Power Consumption Monitor RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 40 80 120 160 200 Min: 50.3 / Avg: 197 / Max: 217.1 Min: 93.6 / Avg: 140.29 / Max: 146.2 Min: 46 / Avg: 117.77 / Max: 137.1 Min: 43.9 / Avg: 97.25 / Max: 106.6 Min: 51.6 / Avg: 146.12 / Max: 159.1 Min: 46.4 / Avg: 107.92 / Max: 119.4 Min: 51.6 / Avg: 166.5 / Max: 193 Min: 46.2 / Avg: 135.52 / Max: 152.6 Min: 44.7 / Avg: 102.22 / Max: 117.3 Min: 47.9 / Avg: 126.06 / Max: 143 Min: 49.8 / Avg: 153.89 / Max: 172.5 Min: 51 / Avg: 113.26 / Max: 124.1 Min: 46.9 / Avg: 137.5 / Max: 151.9 Min: 51.5 / Avg: 203.24 / Max: 225.1 Min: 47.6 / Avg: 151.43 / Max: 166.9 Min: 128.4 / Avg: 179.97 / Max: 191.4 Min: 47.1 / Avg: 142.14 / Max: 150.8 Min: 47 / Avg: 137.66 / Max: 150.3
SHOC Scalable HeterOgeneous Computing The CUDA and OpenCL version of Vetter's Scalable HeterOgeneous Computing benchmark suite. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org GFLOPS, More Is Better SHOC Scalable HeterOgeneous Computing 2015-11-10 Target: OpenCL - Benchmark: FFT SP RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 300 600 900 1200 1500 SE +/- 2.79, N = 3 SE +/- 0.48, N = 3 SE +/- 6.42, N = 4 SE +/- 0.27, N = 3 SE +/- 1.09, N = 3 SE +/- 1.57, N = 3 SE +/- 1.06, N = 3 SE +/- 3.58, N = 3 SE +/- 3.50, N = 7 SE +/- 0.56, N = 3 SE +/- 0.39, N = 3 SE +/- 0.19, N = 3 SE +/- 2.90, N = 3 SE +/- 1.38, N = 3 SE +/- 0.78, N = 3 SE +/- 3.01, N = 3 SE +/- 3.09, N = 3 SE +/- 0.27, N = 3 1485.73 411.29 478.54 452.89 458.35 665.66 982.23 614.69 326.68 818.44 1100.00 525.89 976.78 1578.29 1203.57 725.98 971.24 1088.17 1. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi Result Confidence
OpenBenchmarking.org GFLOPS, More Is Better SHOC Scalable HeterOgeneous Computing 2015-11-10 Target: OpenCL - Benchmark: FFT SP RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 300 600 900 1200 1500 Min: 1480.57 / Avg: 1485.73 / Max: 1490.16 Min: 410.33 / Avg: 411.29 / Max: 411.91 Min: 459.83 / Avg: 478.54 / Max: 488.17 Min: 452.56 / Avg: 452.89 / Max: 453.44 Min: 457.19 / Avg: 458.35 / Max: 460.54 Min: 662.55 / Avg: 665.66 / Max: 667.51 Min: 980.36 / Avg: 982.23 / Max: 984.05 Min: 607.91 / Avg: 614.69 / Max: 620.06 Min: 306.72 / Avg: 326.68 / Max: 334.81 Min: 817.33 / Avg: 818.44 / Max: 819.12 Min: 1099.29 / Avg: 1100 / Max: 1100.65 Min: 525.56 / Avg: 525.89 / Max: 526.22 Min: 973.65 / Avg: 976.78 / Max: 982.57 Min: 1576.6 / Avg: 1578.29 / Max: 1581.03 Min: 1202.34 / Avg: 1203.57 / Max: 1205.01 Min: 719.96 / Avg: 725.98 / Max: 729.08 Min: 968.1 / Avg: 971.24 / Max: 977.42 Min: 1087.63 / Avg: 1088.17 / Max: 1088.49 1. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi
PlaidML OpenBenchmarking.org FPS Per Watt, More Is Better PlaidML FP16: No - Mode: Inference - Network: ResNet 50 - Device: OpenCL RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 1.1318 2.2636 3.3954 4.5272 5.659 3.70 1.05 1.80 1.90 1.15 1.84 2.66 2.25 1.48 2.16 3.21 2.10 3.09 5.03 3.18 1.06 2.59 2.89
OpenBenchmarking.org FPS Per Watt, More Is Better PlaidML FP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCL RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 6 12 18 24 30 22.63 5.20 9.65 9.56 5.53 11.20 10.22 9.35 7.59 11.67 14.16 11.30 14.84 23.23 16.60 6.64 12.98 19.70
SHOC Scalable HeterOgeneous Computing OpenBenchmarking.org GFLOPS Per Watt, More Is Better SHOC Scalable HeterOgeneous Computing 2015-11-10 Target: OpenCL - Benchmark: FFT SP RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 4 8 12 16 20 11.54 5.12 6.23 5.70 5.45 12.25 7.97 7.87 4.00 13.23 15.46 6.36 8.67 6.92 17.59 15.58
LuxMark LuxMark is a multi-platform OpenGL benchmark using LuxRender. LuxMark supports targeting different OpenCL devices and has multiple scenes available for rendering. LuxMark is a fully open-source OpenCL program with real-world rendering examples. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Score, More Is Better LuxMark 3.1 OpenCL Device: GPU - Scene: Microphone RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 7K 14K 21K 28K 35K SE +/- 21.50, N = 3 SE +/- 2.00, N = 3 SE +/- 4.91, N = 3 SE +/- 1.33, N = 3 SE +/- 18.25, N = 3 SE +/- 2.33, N = 3 SE +/- 19.33, N = 3 SE +/- 1.20, N = 3 SE +/- 1.53, N = 3 SE +/- 3.84, N = 3 SE +/- 11.68, N = 3 SE +/- 15.50, N = 3 SE +/- 26.44, N = 3 SE +/- 168.12, N = 3 SE +/- 108.17, N = 3 SE +/- 49.74, N = 3 SE +/- 43.34, N = 3 SE +/- 16.84, N = 3 28631 7985 9983 9794 8914 11003 13721 8716 7086 13754 19916 10259 18441 30756 20164 11096 18509 20499 Result Confidence
OpenBenchmarking.org Score, More Is Better LuxMark 3.1 OpenCL Device: GPU - Scene: Microphone RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 5K 10K 15K 20K 25K Min: 28609 / Avg: 28631 / Max: 28674 Min: 7983 / Avg: 7985 / Max: 7989 Min: 9973 / Avg: 9982.67 / Max: 9989 Min: 9793 / Avg: 9794.33 / Max: 9797 Min: 8881 / Avg: 8914 / Max: 8944 Min: 11001 / Avg: 11003.33 / Max: 11008 Min: 13702 / Avg: 13721.33 / Max: 13760 Min: 8714 / Avg: 8715.67 / Max: 8718 Min: 7084 / Avg: 7086 / Max: 7089 Min: 13750 / Avg: 13754.33 / Max: 13762 Min: 19901 / Avg: 19916 / Max: 19939 Min: 10228 / Avg: 10259 / Max: 10275 Min: 18404 / Avg: 18440.67 / Max: 18492 Min: 30577 / Avg: 30756 / Max: 31092 Min: 19948 / Avg: 20164.33 / Max: 20273 Min: 11036 / Avg: 11096.33 / Max: 11195 Min: 18444 / Avg: 18508.67 / Max: 18591 Min: 20465 / Avg: 20498.67 / Max: 20516
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.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Darktable 2.6.0 Test: Server Room - Acceleration: OpenCL RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 0.711 1.422 2.133 2.844 3.555 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 4 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 8 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 0.75 3.16 1.11 1.18 3.10 1.15 1.05 1.09 1.28 0.83 0.80 1.17 0.75 0.74 0.79 1.51 0.75 0.80 Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Darktable 2.6.0 Test: Server Room - Acceleration: OpenCL RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 2 4 6 8 10 Min: 0.74 / Avg: 0.75 / Max: 0.75 Min: 3.14 / Avg: 3.16 / Max: 3.18 Min: 1.1 / Avg: 1.11 / Max: 1.12 Min: 1.18 / Avg: 1.18 / Max: 1.18 Min: 3.09 / Avg: 3.1 / Max: 3.11 Min: 1.15 / Avg: 1.15 / Max: 1.16 Min: 1.03 / Avg: 1.05 / Max: 1.09 Min: 1.08 / Avg: 1.09 / Max: 1.1 Min: 1.27 / Avg: 1.28 / Max: 1.3 Min: 0.83 / Avg: 0.83 / Max: 0.83 Min: 0.8 / Avg: 0.8 / Max: 0.81 Min: 1.16 / Avg: 1.17 / Max: 1.18 Min: 0.75 / Avg: 0.75 / Max: 0.75 Min: 0.74 / Avg: 0.74 / Max: 0.75 Min: 0.78 / Avg: 0.79 / Max: 0.8 Min: 1.5 / Avg: 1.51 / Max: 1.51 Min: 0.75 / Avg: 0.75 / Max: 0.76 Min: 0.8 / Avg: 0.8 / Max: 0.81
PlaidML This test profile uses PlaidML deep learning framework developed by Intel for offering up various benchmarks. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org FPS, More Is Better PlaidML FP16: Yes - Mode: Inference - Network: Inception V3 - Device: OpenCL RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 80 160 240 320 400 SE +/- 0.44, N = 3 SE +/- 0.01, N = 3 SE +/- 0.18, N = 3 SE +/- 0.27, N = 3 SE +/- 0.27, N = 3 SE +/- 0.05, N = 3 SE +/- 0.21, N = 3 SE +/- 0.30, N = 3 SE +/- 0.20, N = 3 SE +/- 0.37, N = 3 SE +/- 0.59, N = 3 SE +/- 0.06, N = 3 SE +/- 0.43, N = 3 SE +/- 0.48, N = 3 SE +/- 0.23, N = 3 SE +/- 0.26, N = 3 SE +/- 0.44, N = 3 SE +/- 0.10, N = 3 363.16 88.16 141.55 137.66 101.92 161.33 228.68 173.79 97.83 193.75 268.33 147.04 220.99 373.71 301.11 116.31 219.76 239.61 Result Confidence
OpenBenchmarking.org FPS, More Is Better PlaidML FP16: Yes - Mode: Inference - Network: Inception V3 - Device: OpenCL RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 70 140 210 280 350 Min: 362.35 / Avg: 363.16 / Max: 363.85 Min: 88.15 / Avg: 88.16 / Max: 88.17 Min: 141.28 / Avg: 141.55 / Max: 141.89 Min: 137.22 / Avg: 137.66 / Max: 138.15 Min: 101.39 / Avg: 101.92 / Max: 102.29 Min: 161.27 / Avg: 161.33 / Max: 161.43 Min: 228.33 / Avg: 228.68 / Max: 229.07 Min: 173.4 / Avg: 173.79 / Max: 174.38 Min: 97.49 / Avg: 97.83 / Max: 98.17 Min: 193.27 / Avg: 193.75 / Max: 194.47 Min: 267.37 / Avg: 268.33 / Max: 269.4 Min: 146.97 / Avg: 147.04 / Max: 147.16 Min: 220.47 / Avg: 220.99 / Max: 221.85 Min: 372.76 / Avg: 373.71 / Max: 374.29 Min: 300.74 / Avg: 301.11 / Max: 301.52 Min: 115.91 / Avg: 116.31 / Max: 116.79 Min: 218.98 / Avg: 219.76 / Max: 220.51 Min: 239.45 / Avg: 239.61 / Max: 239.78
Result
OpenBenchmarking.org FPS, More Is Better PlaidML FP16: Yes - Mode: Inference - Network: VGG19 - Device: OpenCL RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 40 80 120 160 200 SE +/- 0.36, N = 3 SE +/- 0.18, N = 3 SE +/- 0.19, N = 3 SE +/- 0.08, N = 3 SE +/- 0.62, N = 4 SE +/- 0.12, N = 3 SE +/- 0.44, N = 3 SE +/- 0.28, N = 3 SE +/- 0.12, N = 3 SE +/- 0.19, N = 3 SE +/- 0.44, N = 3 SE +/- 0.03, N = 3 SE +/- 0.35, N = 3 SE +/- 0.48, N = 3 SE +/- 0.21, N = 3 SE +/- 0.77, N = 3 SE +/- 0.23, N = 3 SE +/- 0.16, N = 3 154.20 39.34 63.56 52.52 43.63 58.03 115.03 83.83 44.37 71.07 105.54 73.12 83.56 162.05 115.44 56.13 80.82 97.82 Result Confidence
OpenBenchmarking.org FPS, More Is Better PlaidML FP16: Yes - Mode: Inference - Network: VGG19 - Device: OpenCL RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 30 60 90 120 150 Min: 153.63 / Avg: 154.2 / Max: 154.86 Min: 39.15 / Avg: 39.34 / Max: 39.7 Min: 63.33 / Avg: 63.56 / Max: 63.94 Min: 52.4 / Avg: 52.52 / Max: 52.67 Min: 42.84 / Avg: 43.63 / Max: 45.49 Min: 57.88 / Avg: 58.03 / Max: 58.26 Min: 114.45 / Avg: 115.03 / Max: 115.89 Min: 83.37 / Avg: 83.83 / Max: 84.34 Min: 44.21 / Avg: 44.37 / Max: 44.6 Min: 70.82 / Avg: 71.07 / Max: 71.44 Min: 104.87 / Avg: 105.54 / Max: 106.37 Min: 73.08 / Avg: 73.12 / Max: 73.18 Min: 82.97 / Avg: 83.56 / Max: 84.19 Min: 161.31 / Avg: 162.05 / Max: 162.94 Min: 115.07 / Avg: 115.44 / Max: 115.8 Min: 55.19 / Avg: 56.13 / Max: 57.65 Min: 80.49 / Avg: 80.82 / Max: 81.26 Min: 97.51 / Avg: 97.82 / Max: 98.02
Result
OpenBenchmarking.org FPS, More Is Better PlaidML FP16: No - Mode: Inference - Network: VGG19 - Device: OpenCL RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 40 80 120 160 200 SE +/- 0.41, N = 3 SE +/- 0.01, N = 3 SE +/- 0.11, N = 3 SE +/- 0.17, N = 3 SE +/- 0.47, N = 3 SE +/- 0.12, N = 3 SE +/- 0.35, N = 3 SE +/- 0.16, N = 3 SE +/- 0.08, N = 3 SE +/- 0.17, N = 3 SE +/- 0.42, N = 3 SE +/- 0.06, N = 3 SE +/- 0.25, N = 3 SE +/- 0.54, N = 3 SE +/- 0.22, N = 3 SE +/- 0.65, N = 3 SE +/- 0.19, N = 3 SE +/- 0.23, N = 3 186.19 47.70 76.89 67.24 53.49 73.35 138.68 101.00 54.78 88.04 129.58 90.34 103.89 196.44 143.02 68.47 101.17 122.32 Result Confidence
OpenBenchmarking.org FPS, More Is Better PlaidML FP16: No - Mode: Inference - Network: VGG19 - Device: OpenCL RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 40 80 120 160 200 Min: 185.53 / Avg: 186.19 / Max: 186.93 Min: 47.69 / Avg: 47.7 / Max: 47.73 Min: 76.7 / Avg: 76.89 / Max: 77.08 Min: 66.99 / Avg: 67.24 / Max: 67.55 Min: 52.98 / Avg: 53.49 / Max: 54.44 Min: 73.18 / Avg: 73.35 / Max: 73.59 Min: 138.17 / Avg: 138.68 / Max: 139.34 Min: 100.78 / Avg: 101 / Max: 101.31 Min: 54.68 / Avg: 54.78 / Max: 54.94 Min: 87.77 / Avg: 88.04 / Max: 88.35 Min: 128.93 / Avg: 129.58 / Max: 130.36 Min: 90.27 / Avg: 90.34 / Max: 90.45 Min: 103.47 / Avg: 103.89 / Max: 104.34 Min: 195.58 / Avg: 196.44 / Max: 197.44 Min: 142.65 / Avg: 143.02 / Max: 143.42 Min: 67.58 / Avg: 68.47 / Max: 69.74 Min: 100.84 / Avg: 101.17 / Max: 101.51 Min: 121.92 / Avg: 122.32 / Max: 122.72
Result
OpenBenchmarking.org FPS, More Is Better PlaidML FP16: Yes - Mode: Inference - Network: VGG16 - Device: OpenCL RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 40 80 120 160 200 SE +/- 0.51, N = 3 SE +/- 0.21, N = 3 SE +/- 0.30, N = 3 SE +/- 0.17, N = 3 SE +/- 0.83, N = 4 SE +/- 0.14, N = 3 SE +/- 0.62, N = 3 SE +/- 0.40, N = 3 SE +/- 0.18, N = 3 SE +/- 0.23, N = 3 SE +/- 0.57, N = 3 SE +/- 0.08, N = 3 SE +/- 0.39, N = 3 SE +/- 0.57, N = 3 SE +/- 0.29, N = 3 SE +/- 1.12, N = 3 SE +/- 0.35, N = 3 SE +/- 0.28, N = 3 194.83 49.76 80.27 66.24 55.70 73.18 145.42 106.09 56.07 89.55 133.20 92.03 105.60 204.67 145.65 71.26 102.58 123.20 Result Confidence
OpenBenchmarking.org FPS, More Is Better PlaidML FP16: Yes - Mode: Inference - Network: VGG16 - Device: OpenCL RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 40 80 120 160 200 Min: 194.12 / Avg: 194.83 / Max: 195.83 Min: 49.35 / Avg: 49.76 / Max: 50 Min: 79.81 / Avg: 80.27 / Max: 80.83 Min: 66.03 / Avg: 66.24 / Max: 66.58 Min: 54.49 / Avg: 55.7 / Max: 58.05 Min: 72.93 / Avg: 73.18 / Max: 73.43 Min: 144.46 / Avg: 145.42 / Max: 146.59 Min: 105.5 / Avg: 106.09 / Max: 106.86 Min: 55.8 / Avg: 56.07 / Max: 56.41 Min: 89.19 / Avg: 89.55 / Max: 89.98 Min: 132.33 / Avg: 133.2 / Max: 134.28 Min: 91.93 / Avg: 92.03 / Max: 92.19 Min: 105.06 / Avg: 105.6 / Max: 106.36 Min: 203.85 / Avg: 204.67 / Max: 205.76 Min: 145.22 / Avg: 145.65 / Max: 146.21 Min: 69.37 / Avg: 71.26 / Max: 73.24 Min: 102.1 / Avg: 102.58 / Max: 103.26 Min: 122.7 / Avg: 123.2 / Max: 123.67
Result
OpenBenchmarking.org FPS, More Is Better PlaidML FP16: No - Mode: Inference - Network: VGG16 - Device: OpenCL RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 50 100 150 200 250 SE +/- 0.50, N = 3 SE +/- 0.05, N = 3 SE +/- 0.17, N = 3 SE +/- 0.21, N = 3 SE +/- 0.79, N = 3 SE +/- 0.24, N = 3 SE +/- 0.62, N = 3 SE +/- 0.38, N = 3 SE +/- 0.12, N = 3 SE +/- 0.32, N = 3 SE +/- 0.73, N = 3 SE +/- 0.06, N = 3 SE +/- 0.43, N = 3 SE +/- 0.40, N = 3 SE +/- 0.28, N = 3 SE +/- 1.36, N = 3 SE +/- 0.34, N = 3 SE +/- 0.29, N = 3 234.65 60.32 97.32 84.83 68.95 92.45 175.37 128.05 69.31 110.93 164.05 114.03 131.54 247.83 180.45 87.39 128.22 154.64 Result Confidence
OpenBenchmarking.org FPS, More Is Better PlaidML FP16: No - Mode: Inference - Network: VGG16 - Device: OpenCL RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 40 80 120 160 200 Min: 233.84 / Avg: 234.65 / Max: 235.55 Min: 60.26 / Avg: 60.32 / Max: 60.42 Min: 97.01 / Avg: 97.32 / Max: 97.59 Min: 84.49 / Avg: 84.83 / Max: 85.21 Min: 67.57 / Avg: 68.95 / Max: 70.31 Min: 92.08 / Avg: 92.45 / Max: 92.91 Min: 174.34 / Avg: 175.37 / Max: 176.48 Min: 127.45 / Avg: 128.05 / Max: 128.75 Min: 69.14 / Avg: 69.31 / Max: 69.55 Min: 110.47 / Avg: 110.93 / Max: 111.54 Min: 162.9 / Avg: 164.05 / Max: 165.4 Min: 113.94 / Avg: 114.03 / Max: 114.15 Min: 130.9 / Avg: 131.54 / Max: 132.37 Min: 247.23 / Avg: 247.83 / Max: 248.59 Min: 180.02 / Avg: 180.45 / Max: 180.98 Min: 85.16 / Avg: 87.39 / Max: 89.84 Min: 127.68 / Avg: 128.22 / Max: 128.86 Min: 154.27 / Avg: 154.64 / Max: 155.2
Result
OpenBenchmarking.org FPS, More Is Better PlaidML FP16: Yes - Mode: Inference - Network: NASNer Large - Device: OpenCL RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 20 40 60 80 100 SE +/- 0.21, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.15, N = 3 SE +/- 0.03, N = 3 SE +/- 0.11, N = 3 SE +/- 0.08, N = 3 SE +/- 0.03, N = 3 SE +/- 0.08, N = 3 SE +/- 0.15, N = 3 SE +/- 0.02, N = 3 SE +/- 0.13, N = 3 SE +/- 0.25, N = 3 SE +/- 0.08, N = 3 SE +/- 0.10, N = 3 SE +/- 0.14, N = 3 SE +/- 0.05, N = 3 84.97 21.42 33.07 28.99 24.24 34.12 56.64 40.38 23.16 41.11 58.47 35.41 49.94 87.17 64.80 30.64 48.96 55.24 Result Confidence
OpenBenchmarking.org FPS, More Is Better PlaidML FP16: Yes - Mode: Inference - Network: NASNer Large - Device: OpenCL RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 20 40 60 80 100 Min: 84.64 / Avg: 84.97 / Max: 85.36 Min: 21.38 / Avg: 21.42 / Max: 21.48 Min: 32.99 / Avg: 33.07 / Max: 33.17 Min: 28.95 / Avg: 28.99 / Max: 29.05 Min: 24.05 / Avg: 24.24 / Max: 24.53 Min: 34.07 / Avg: 34.12 / Max: 34.18 Min: 56.5 / Avg: 56.64 / Max: 56.87 Min: 40.24 / Avg: 40.38 / Max: 40.52 Min: 23.12 / Avg: 23.16 / Max: 23.23 Min: 41.01 / Avg: 41.11 / Max: 41.26 Min: 58.27 / Avg: 58.47 / Max: 58.77 Min: 35.38 / Avg: 35.41 / Max: 35.46 Min: 49.78 / Avg: 49.94 / Max: 50.19 Min: 86.77 / Avg: 87.17 / Max: 87.63 Min: 64.64 / Avg: 64.8 / Max: 64.88 Min: 30.54 / Avg: 30.64 / Max: 30.84 Min: 48.73 / Avg: 48.96 / Max: 49.22 Min: 55.17 / Avg: 55.24 / Max: 55.33
cl-mem A basic OpenCL memory benchmark. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org GB/s, More Is Better cl-mem 2017-01-13 Benchmark: Read RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 120 240 360 480 600 SE +/- 0.38, N = 3 SE +/- 1.50, N = 8 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.10, N = 3 SE +/- 0.07, N = 3 SE +/- 0.20, N = 3 SE +/- 0.12, N = 3 SE +/- 0.00, N = 3 SE +/- 0.20, N = 3 SE +/- 0.25, N = 3 SE +/- 0.07, N = 3 SE +/- 0.25, N = 3 SE +/- 0.40, N = 3 SE +/- 0.27, N = 3 SE +/- 0.12, N = 3 SE +/- 0.22, N = 3 SE +/- 0.22, N = 3 544.33 142.10 205.27 162.90 164.50 250.23 337.53 228.80 153.50 296.20 395.70 205.27 395.70 566.70 436.27 265.33 395.67 395.67 1. (CC) gcc options: -O2 -flto -lOpenCL Result Confidence
OpenBenchmarking.org GB/s, More Is Better cl-mem 2017-01-13 Benchmark: Read RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 100 200 300 400 500 Min: 543.7 / Avg: 544.33 / Max: 545 Min: 131.6 / Avg: 142.1 / Max: 143.7 Min: 205.2 / Avg: 205.27 / Max: 205.3 Min: 162.9 / Avg: 162.9 / Max: 162.9 Min: 164.3 / Avg: 164.5 / Max: 164.6 Min: 250.1 / Avg: 250.23 / Max: 250.3 Min: 337.2 / Avg: 337.53 / Max: 337.9 Min: 228.6 / Avg: 228.8 / Max: 229 Min: 153.5 / Avg: 153.5 / Max: 153.5 Min: 296 / Avg: 296.2 / Max: 296.6 Min: 395.4 / Avg: 395.7 / Max: 396.2 Min: 205.2 / Avg: 205.27 / Max: 205.4 Min: 395.4 / Avg: 395.7 / Max: 396.2 Min: 566 / Avg: 566.7 / Max: 567.4 Min: 436 / Avg: 436.27 / Max: 436.8 Min: 265.1 / Avg: 265.33 / Max: 265.5 Min: 395.4 / Avg: 395.67 / Max: 396.1 Min: 395.4 / Avg: 395.67 / Max: 396.1 1. (CC) gcc options: -O2 -flto -lOpenCL
clpeak Clpeak is designed to test the peak capabilities of OpenCL devices. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org GFLOPS, More Is Better clpeak OpenCL Test: Double-Precision Double RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 120 240 360 480 600 SE +/- 1.46, N = 3 SE +/- 0.03, N = 3 SE +/- 0.71, N = 3 SE +/- 0.00, N = 3 SE +/- 0.07, N = 3 SE +/- 0.01, N = 3 SE +/- 1.14, N = 3 SE +/- 0.76, N = 3 SE +/- 0.14, N = 3 SE +/- 0.01, N = 3 SE +/- 0.92, N = 3 SE +/- 0.02, N = 3 SE +/- 0.81, N = 3 SE +/- 1.16, N = 3 SE +/- 0.03, N = 3 SE +/- 0.35, N = 3 SE +/- 0.71, N = 3 SE +/- 0.77, N = 3 521.90 137.47 223.91 168.44 159.68 185.12 414.96 297.94 149.58 231.44 345.81 242.63 268.32 547.97 378.98 196.60 263.11 310.27 1. (CXX) g++ options: -O3 -rdynamic -lOpenCL Result Confidence
OpenBenchmarking.org GFLOPS, More Is Better clpeak OpenCL Test: Double-Precision Double RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 100 200 300 400 500 Min: 520.32 / Avg: 521.9 / Max: 524.82 Min: 137.43 / Avg: 137.47 / Max: 137.52 Min: 222.79 / Avg: 223.91 / Max: 225.23 Min: 168.44 / Avg: 168.44 / Max: 168.44 Min: 159.57 / Avg: 159.68 / Max: 159.81 Min: 185.1 / Avg: 185.12 / Max: 185.13 Min: 413.44 / Avg: 414.96 / Max: 417.19 Min: 296.99 / Avg: 297.94 / Max: 299.44 Min: 149.42 / Avg: 149.58 / Max: 149.86 Min: 231.43 / Avg: 231.44 / Max: 231.45 Min: 343.96 / Avg: 345.81 / Max: 346.75 Min: 242.6 / Avg: 242.63 / Max: 242.65 Min: 266.7 / Avg: 268.32 / Max: 269.18 Min: 546.71 / Avg: 547.97 / Max: 550.28 Min: 378.93 / Avg: 378.98 / Max: 379.02 Min: 196.17 / Avg: 196.6 / Max: 197.3 Min: 262.4 / Avg: 263.11 / Max: 264.52 Min: 308.73 / Avg: 310.27 / Max: 311.06 1. (CXX) g++ options: -O3 -rdynamic -lOpenCL
PlaidML OpenBenchmarking.org FPS Per Watt, More Is Better PlaidML FP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCL RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 1.1453 2.2906 3.4359 4.5812 5.7265 4.56 1.28 2.37 2.98 1.43 3.14 3.00 2.81 1.83 3.10 3.95 2.59 3.68 5.09 4.52 1.41 3.23 3.67
SHOC Scalable HeterOgeneous Computing The CUDA and OpenCL version of Vetter's Scalable HeterOgeneous Computing benchmark suite. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org GFLOPS, More Is Better SHOC Scalable HeterOgeneous Computing 2015-11-10 Target: OpenCL - Benchmark: Max SP Flops RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 4K 8K 12K 16K 20K SE +/- 87.95, N = 3 SE +/- 0.74, N = 3 SE +/- 1.89, N = 3 SE +/- 13.79, N = 3 SE +/- 3.92, N = 3 SE +/- 0.04, N = 3 SE +/- 3.93, N = 3 SE +/- 3.00, N = 3 SE +/- 6.34, N = 3 SE +/- 19.13, N = 3 SE +/- 29.32, N = 3 SE +/- 0.84, N = 3 SE +/- 45.97, N = 3 SE +/- 91.95, N = 3 SE +/- 61.30, N = 3 SE +/- 11.70, N = 3 SE +/- 27.40, N = 3 SE +/- 51.02, N = 3 16656.20 4362.31 7115.39 5329.84 5052.73 5893.41 13230.77 9407.75 4788.92 7320.73 10952.77 7715.42 8528.70 17334.00 12015.50 6213.97 8378.87 9869.34 1. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi Result Confidence
OpenBenchmarking.org GFLOPS, More Is Better SHOC Scalable HeterOgeneous Computing 2015-11-10 Target: OpenCL - Benchmark: Max SP Flops RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 3K 6K 9K 12K 15K Min: 16568 / Avg: 16656.2 / Max: 16832.1 Min: 4361.4 / Avg: 4362.31 / Max: 4363.77 Min: 7112.49 / Avg: 7115.39 / Max: 7118.95 Min: 5315.74 / Avg: 5329.84 / Max: 5357.41 Min: 5047.71 / Avg: 5052.73 / Max: 5060.46 Min: 5893.36 / Avg: 5893.41 / Max: 5893.5 Min: 13226.2 / Avg: 13230.77 / Max: 13238.6 Min: 9404.45 / Avg: 9407.75 / Max: 9413.75 Min: 4776.25 / Avg: 4788.92 / Max: 4795.3 Min: 7301.6 / Avg: 7320.73 / Max: 7358.98 Min: 10923.4 / Avg: 10952.77 / Max: 11011.4 Min: 7713.79 / Avg: 7715.42 / Max: 7716.58 Min: 8482.71 / Avg: 8528.7 / Max: 8620.63 Min: 17242 / Avg: 17334 / Max: 17517.9 Min: 11954.1 / Avg: 12015.5 / Max: 12138.1 Min: 6201.96 / Avg: 6213.97 / Max: 6237.37 Min: 8351.43 / Avg: 8378.87 / Max: 8433.66 Min: 9818.31 / Avg: 9869.34 / Max: 9971.38 1. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi
LuxMark LuxMark is a multi-platform OpenGL benchmark using LuxRender. LuxMark supports targeting different OpenCL devices and has multiple scenes available for rendering. LuxMark is a fully open-source OpenCL program with real-world rendering examples. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Score, More Is Better LuxMark 3.1 OpenCL Device: GPU - Scene: Luxball HDR RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 10K 20K 30K 40K 50K SE +/- 166.33, N = 3 SE +/- 6.23, N = 3 SE +/- 1.00, N = 3 SE +/- 35.04, N = 3 SE +/- 26.16, N = 3 SE +/- 19.86, N = 3 SE +/- 7.67, N = 3 SE +/- 17.98, N = 3 SE +/- 4.00, N = 3 SE +/- 0.67, N = 3 SE +/- 7.51, N = 3 SE +/- 36.50, N = 3 SE +/- 7.54, N = 3 SE +/- 20.92, N = 3 SE +/- 0.88, N = 3 SE +/- 39.15, N = 3 SE +/- 4.93, N = 3 SE +/- 98.93, N = 3 42974 11732 17290 15162 13246 16147 21689 13788 12245 21683 29164 16925 30097 46546 30179 16871 30093 29734 Result Confidence
OpenBenchmarking.org Score, More Is Better LuxMark 3.1 OpenCL Device: GPU - Scene: Luxball HDR RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 8K 16K 24K 32K 40K Min: 42708 / Avg: 42974 / Max: 43280 Min: 11724 / Avg: 11731.67 / Max: 11744 Min: 17289 / Avg: 17290 / Max: 17292 Min: 15094 / Avg: 15162.33 / Max: 15210 Min: 13215 / Avg: 13246 / Max: 13298 Min: 16109 / Avg: 16147 / Max: 16176 Min: 21681 / Avg: 21688.67 / Max: 21704 Min: 13759 / Avg: 13788.33 / Max: 13821 Min: 12241 / Avg: 12245 / Max: 12253 Min: 21682 / Avg: 21682.67 / Max: 21684 Min: 29156 / Avg: 29164 / Max: 29179 Min: 16888 / Avg: 16925 / Max: 16998 Min: 30087 / Avg: 30097.33 / Max: 30112 Min: 46506 / Avg: 46545.67 / Max: 46577 Min: 30178 / Avg: 30179.33 / Max: 30181 Min: 16814 / Avg: 16871 / Max: 16946 Min: 30084 / Avg: 30093 / Max: 30101 Min: 29554 / Avg: 29734.33 / Max: 29895
PlaidML This test profile uses PlaidML deep learning framework developed by Intel for offering up various benchmarks. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org FPS, More Is Better PlaidML FP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCL RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 200 400 600 800 1000 SE +/- 1.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.13, N = 3 SE +/- 0.01, N = 3 SE +/- 0.50, N = 3 SE +/- 0.15, N = 3 SE +/- 0.74, N = 3 SE +/- 0.31, N = 3 SE +/- 0.17, N = 3 SE +/- 0.37, N = 3 SE +/- 1.63, N = 3 SE +/- 0.49, N = 3 SE +/- 0.21, N = 3 SE +/- 2.25, N = 3 SE +/- 1.47, N = 3 SE +/- 0.56, N = 3 SE +/- 0.31, N = 3 SE +/- 0.67, N = 3 758.21 204.32 315.37 287.68 231.66 315.83 523.98 399.00 224.89 389.40 548.83 333.03 446.23 790.77 589.86 270.00 440.79 499.69 Result Confidence
OpenBenchmarking.org FPS, More Is Better PlaidML FP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCL RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 140 280 420 560 700 Min: 756.33 / Avg: 758.21 / Max: 759.78 Min: 204.27 / Avg: 204.32 / Max: 204.36 Min: 315.2 / Avg: 315.37 / Max: 315.63 Min: 287.66 / Avg: 287.68 / Max: 287.71 Min: 230.69 / Avg: 231.66 / Max: 232.35 Min: 315.54 / Avg: 315.83 / Max: 316.06 Min: 522.59 / Avg: 523.98 / Max: 525.11 Min: 398.38 / Avg: 399 / Max: 399.37 Min: 224.54 / Avg: 224.89 / Max: 225.07 Min: 389.01 / Avg: 389.4 / Max: 390.13 Min: 545.63 / Avg: 548.83 / Max: 550.96 Min: 332.49 / Avg: 333.03 / Max: 334 Min: 445.83 / Avg: 446.23 / Max: 446.55 Min: 786.44 / Avg: 790.77 / Max: 793.98 Min: 587.12 / Avg: 589.86 / Max: 592.17 Min: 269.37 / Avg: 270 / Max: 271.13 Min: 440.29 / Avg: 440.79 / Max: 441.37 Min: 498.72 / Avg: 499.69 / Max: 500.98
OpenBenchmarking.org FPS Per Watt, More Is Better PlaidML FP16: Yes - Mode: Inference - Network: VGG16 - Device: OpenCL RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 0.234 0.468 0.702 0.936 1.17 1.04 0.27 0.49 0.48 0.28 0.48 0.62 0.56 0.37 0.55 0.77 0.57 0.61 0.94 0.80 0.29 0.55 0.66
OpenBenchmarking.org FPS Per Watt, More Is Better PlaidML FP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCL RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 6 12 18 24 30 26.71 6.98 12.35 14.79 7.17 16.06 15.21 14.02 9.57 18.20 26.21 14.16 21.35 22.19 25.06 7.67 20.68 24.75
OpenBenchmarking.org FPS Per Watt, More Is Better PlaidML FP16: No - Mode: Inference - Network: Inception V3 - Device: OpenCL RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 0.4388 0.8776 1.3164 1.7552 2.194 1.66 0.52 0.99 0.95 0.56 1.02 1.34 0.94 0.70 1.11 1.36 1.08 1.18 1.95 1.52 0.61 1.23 1.34
Result
OpenBenchmarking.org FPS, More Is Better PlaidML FP16: Yes - Mode: Inference - Network: ResNet 50 - Device: OpenCL RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 90 180 270 360 450 SE +/- 1.04, N = 3 SE +/- 0.00, N = 3 SE +/- 0.28, N = 3 SE +/- 0.31, N = 3 SE +/- 0.26, N = 3 SE +/- 0.06, N = 3 SE +/- 0.42, N = 3 SE +/- 0.11, N = 3 SE +/- 0.16, N = 3 SE +/- 0.16, N = 3 SE +/- 0.60, N = 3 SE +/- 0.08, N = 3 SE +/- 0.53, N = 3 SE +/- 0.70, N = 3 SE +/- 0.12, N = 3 SE +/- 0.06, N = 3 SE +/- 0.48, N = 3 SE +/- 0.71, N = 3 424.07 116.05 196.01 156.50 142.14 172.68 333.54 240.62 130.64 220.44 305.76 205.85 251.07 433.81 327.80 162.63 250.98 283.98 Result Confidence
OpenBenchmarking.org FPS, More Is Better PlaidML FP16: Yes - Mode: Inference - Network: ResNet 50 - Device: OpenCL RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 80 160 240 320 400 Min: 422.83 / Avg: 424.07 / Max: 426.14 Min: 116.05 / Avg: 116.05 / Max: 116.05 Min: 195.53 / Avg: 196.01 / Max: 196.51 Min: 156.03 / Avg: 156.5 / Max: 157.08 Min: 141.87 / Avg: 142.14 / Max: 142.66 Min: 172.61 / Avg: 172.68 / Max: 172.81 Min: 332.77 / Avg: 333.54 / Max: 334.21 Min: 240.5 / Avg: 240.62 / Max: 240.84 Min: 130.32 / Avg: 130.64 / Max: 130.86 Min: 220.26 / Avg: 220.44 / Max: 220.76 Min: 305.05 / Avg: 305.76 / Max: 306.96 Min: 205.75 / Avg: 205.85 / Max: 206 Min: 250.02 / Avg: 251.07 / Max: 251.75 Min: 432.58 / Avg: 433.81 / Max: 435 Min: 327.59 / Avg: 327.8 / Max: 327.99 Min: 162.56 / Avg: 162.63 / Max: 162.74 Min: 250.26 / Avg: 250.98 / Max: 251.89 Min: 282.89 / Avg: 283.98 / Max: 285.31
cl-mem A basic OpenCL memory benchmark. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org GB/s, More Is Better cl-mem 2017-01-13 Benchmark: Write RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 110 220 330 440 550 SE +/- 0.35, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.12, N = 3 SE +/- 0.28, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.40, N = 3 SE +/- 0.15, N = 3 SE +/- 0.03, N = 3 SE +/- 1.00, N = 3 SE +/- 1.39, N = 3 SE +/- 0.54, N = 3 SE +/- 0.06, N = 3 SE +/- 0.82, N = 3 SE +/- 0.43, N = 3 441.23 132.60 190.90 148.87 151.50 208.67 340.27 214.67 144.57 241.20 331.50 190.03 322.67 495.37 345.77 241.50 333.20 319.57 1. (CC) gcc options: -O2 -flto -lOpenCL Result Confidence
OpenBenchmarking.org GB/s, More Is Better cl-mem 2017-01-13 Benchmark: Write RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 90 180 270 360 450 Min: 440.6 / Avg: 441.23 / Max: 441.8 Min: 132.6 / Avg: 132.6 / Max: 132.6 Min: 190.9 / Avg: 190.9 / Max: 190.9 Min: 148.8 / Avg: 148.87 / Max: 148.9 Min: 151.5 / Avg: 151.5 / Max: 151.5 Min: 208.5 / Avg: 208.67 / Max: 208.9 Min: 339.7 / Avg: 340.27 / Max: 340.6 Min: 214.6 / Avg: 214.67 / Max: 214.7 Min: 144.5 / Avg: 144.57 / Max: 144.6 Min: 240.4 / Avg: 241.2 / Max: 241.6 Min: 331.2 / Avg: 331.5 / Max: 331.7 Min: 190 / Avg: 190.03 / Max: 190.1 Min: 320.8 / Avg: 322.67 / Max: 324.2 Min: 492.9 / Avg: 495.37 / Max: 497.7 Min: 345 / Avg: 345.77 / Max: 346.8 Min: 241.4 / Avg: 241.5 / Max: 241.6 Min: 332.1 / Avg: 333.2 / Max: 334.8 Min: 319 / Avg: 319.57 / Max: 320.4 1. (CC) gcc options: -O2 -flto -lOpenCL
Rodinia OpenBenchmarking.org Watts, Fewer Is Better Rodinia 2.4 System Power Consumption Monitor RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 30 60 90 120 150 Min: 51.1 / Avg: 152.87 / Max: 162.6 Min: 85.4 / Avg: 117.57 / Max: 120.9 Min: 70.9 / Avg: 107.97 / Max: 112.9 Min: 45.5 / Avg: 90.35 / Max: 95.7 Min: 88.8 / Avg: 119.77 / Max: 124.7 Min: 45.9 / Avg: 98.53 / Max: 104.6 Min: 53.3 / Avg: 137.65 / Max: 146.3 Min: 47.4 / Avg: 113.6 / Max: 118.7 Min: 62.8 / Avg: 97.17 / Max: 100.8 Min: 46.6 / Avg: 112.18 / Max: 123.5 Min: 49.5 / Avg: 131.08 / Max: 142 Min: 49.1 / Avg: 105.1 / Max: 108.7 Min: 48.1 / Avg: 122.39 / Max: 128.3 Min: 51.9 / Avg: 158.82 / Max: 169.5 Min: 46.6 / Avg: 123.16 / Max: 135.3 Min: 110.1 / Avg: 153.24 / Max: 157.4 Min: 46.3 / Avg: 122.27 / Max: 129.5 Min: 46.4 / Avg: 116.19 / Max: 128.7
LuxMark LuxMark is a multi-platform OpenGL benchmark using LuxRender. LuxMark supports targeting different OpenCL devices and has multiple scenes available for rendering. LuxMark is a fully open-source OpenCL program with real-world rendering examples. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Score, More Is Better LuxMark 3.1 OpenCL Device: GPU - Scene: Hotel RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 2K 4K 6K 8K 10K SE +/- 4.37, N = 3 SE +/- 1.86, N = 3 SE +/- 1.20, N = 3 SE +/- 0.58, N = 3 SE +/- 2.73, N = 3 SE +/- 7.09, N = 3 SE +/- 0.67, N = 3 SE +/- 3.76, N = 3 SE +/- 0.67, N = 3 SE +/- 0.88, N = 3 SE +/- 3.51, N = 3 SE +/- 1.86, N = 3 SE +/- 1.73, N = 3 SE +/- 0.58, N = 3 SE +/- 8.00, N = 3 SE +/- 0.67, N = 3 9215 2730 3870 3733 3048 3805 5649 3807 2648 4833 6590 4170 6150 9836 6839 3885 6148 6565 Result Confidence
OpenBenchmarking.org Score, More Is Better LuxMark 3.1 OpenCL Device: GPU - Scene: Hotel RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 2K 4K 6K 8K 10K Min: 9206 / Avg: 9214.67 / Max: 9220 Min: 2728 / Avg: 2730.33 / Max: 2734 Min: 3868 / Avg: 3869.67 / Max: 3872 Min: 3732 / Avg: 3733 / Max: 3734 Min: 3043 / Avg: 3048.33 / Max: 3052 Min: 5640 / Avg: 5649 / Max: 5663 Min: 3806 / Avg: 3806.67 / Max: 3808 Min: 2642 / Avg: 2648.33 / Max: 2655 Min: 4832 / Avg: 4832.67 / Max: 4834 Min: 6588 / Avg: 6589.67 / Max: 6591 Min: 4166 / Avg: 4170 / Max: 4177 Min: 6148 / Avg: 6150.33 / Max: 6154 Min: 9833 / Avg: 9836 / Max: 9839 Min: 6838 / Avg: 6839 / Max: 6840 Min: 3869 / Avg: 3885 / Max: 3893 Min: 6147 / Avg: 6148.33 / Max: 6149
clpeak Clpeak is designed to test the peak capabilities of OpenCL devices. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org GBPS, More Is Better clpeak OpenCL Test: Global Memory Bandwidth RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 110 220 330 440 550 SE +/- 0.44, N = 3 SE +/- 0.06, N = 3 SE +/- 0.18, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.17, N = 3 SE +/- 0.71, N = 3 SE +/- 0.09, N = 3 SE +/- 0.06, N = 3 SE +/- 0.24, N = 3 SE +/- 0.22, N = 3 SE +/- 0.00, N = 3 SE +/- 0.07, N = 3 SE +/- 0.66, N = 3 SE +/- 0.08, N = 3 SE +/- 0.52, N = 3 SE +/- 0.11, N = 3 SE +/- 0.33, N = 3 506.33 143.48 196.47 157.60 164.25 234.67 328.90 222.09 146.62 275.86 368.47 197.26 368.96 528.89 405.00 263.22 367.92 369.11 1. (CXX) g++ options: -O3 -rdynamic -lOpenCL Result Confidence
OpenBenchmarking.org GBPS, More Is Better clpeak OpenCL Test: Global Memory Bandwidth RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 90 180 270 360 450 Min: 505.86 / Avg: 506.33 / Max: 507.2 Min: 143.36 / Avg: 143.48 / Max: 143.56 Min: 196.28 / Avg: 196.47 / Max: 196.83 Min: 157.6 / Avg: 157.6 / Max: 157.61 Min: 164.2 / Avg: 164.25 / Max: 164.28 Min: 234.41 / Avg: 234.67 / Max: 234.99 Min: 327.62 / Avg: 328.9 / Max: 330.06 Min: 221.97 / Avg: 222.09 / Max: 222.26 Min: 146.5 / Avg: 146.62 / Max: 146.69 Min: 275.39 / Avg: 275.86 / Max: 276.14 Min: 368.14 / Avg: 368.47 / Max: 368.89 Min: 197.25 / Avg: 197.26 / Max: 197.26 Min: 368.88 / Avg: 368.96 / Max: 369.1 Min: 527.56 / Avg: 528.89 / Max: 529.56 Min: 404.89 / Avg: 405 / Max: 405.16 Min: 262.17 / Avg: 263.22 / Max: 263.74 Min: 367.71 / Avg: 367.92 / Max: 368.07 Min: 368.45 / Avg: 369.11 / Max: 369.46 1. (CXX) g++ options: -O3 -rdynamic -lOpenCL
PlaidML This test profile uses PlaidML deep learning framework developed by Intel for offering up various benchmarks. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org FPS, More Is Better PlaidML FP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCL RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 500 1000 1500 2000 2500 SE +/- 6.28, N = 3 SE +/- 0.75, N = 3 SE +/- 1.57, N = 3 SE +/- 1.38, N = 3 SE +/- 0.24, N = 3 SE +/- 0.86, N = 3 SE +/- 5.20, N = 3 SE +/- 1.27, N = 3 SE +/- 0.63, N = 3 SE +/- 2.11, N = 3 SE +/- 4.17, N = 3 SE +/- 0.73, N = 3 SE +/- 1.46, N = 3 SE +/- 13.68, N = 3 SE +/- 2.80, N = 3 SE +/- 0.07, N = 3 SE +/- 1.59, N = 3 SE +/- 1.25, N = 3 2335.46 671.49 987.69 814.65 759.43 1002.00 1672.73 1123.85 726.30 1232.47 1663.87 1009.26 1516.96 2466.66 1762.00 990.12 1531.01 1649.17 Result Confidence
OpenBenchmarking.org FPS, More Is Better PlaidML FP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCL RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 400 800 1200 1600 2000 Min: 2328.06 / Avg: 2335.46 / Max: 2347.95 Min: 670.13 / Avg: 671.49 / Max: 672.71 Min: 984.63 / Avg: 987.69 / Max: 989.85 Min: 812.09 / Avg: 814.65 / Max: 816.83 Min: 759.11 / Avg: 759.43 / Max: 759.9 Min: 1000.55 / Avg: 1002 / Max: 1003.54 Min: 1662.99 / Avg: 1672.73 / Max: 1680.78 Min: 1121.42 / Avg: 1123.85 / Max: 1125.72 Min: 725.1 / Avg: 726.3 / Max: 727.2 Min: 1230.15 / Avg: 1232.47 / Max: 1236.68 Min: 1655.67 / Avg: 1663.87 / Max: 1669.26 Min: 1008.28 / Avg: 1009.26 / Max: 1010.69 Min: 1514.94 / Avg: 1516.96 / Max: 1519.79 Min: 2439.39 / Avg: 2466.66 / Max: 2482.28 Min: 1757.01 / Avg: 1762 / Max: 1766.68 Min: 990.01 / Avg: 990.12 / Max: 990.24 Min: 1529.18 / Avg: 1531.01 / Max: 1534.17 Min: 1646.69 / Avg: 1649.17 / Max: 1650.64
Result
OpenBenchmarking.org FPS, More Is Better PlaidML FP16: No - Mode: Inference - Network: Inception V3 - Device: OpenCL RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 80 160 240 320 400 SE +/- 0.38, N = 3 SE +/- 0.16, N = 3 SE +/- 0.09, N = 3 SE +/- 0.12, N = 3 SE +/- 0.17, N = 3 SE +/- 0.23, N = 3 SE +/- 0.14, N = 3 SE +/- 0.38, N = 3 SE +/- 0.10, N = 3 SE +/- 0.23, N = 3 SE +/- 0.57, N = 3 SE +/- 0.06, N = 3 SE +/- 0.29, N = 3 SE +/- 0.42, N = 3 SE +/- 0.10, N = 3 SE +/- 0.07, N = 3 SE +/- 0.25, N = 3 SE +/- 0.07, N = 3 343.49 94.72 147.17 116.90 105.64 140.05 257.55 184.80 104.44 167.87 238.73 153.34 198.03 347.93 259.26 135.14 199.43 215.85 Result Confidence
OpenBenchmarking.org FPS, More Is Better PlaidML FP16: No - Mode: Inference - Network: Inception V3 - Device: OpenCL RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 60 120 180 240 300 Min: 343.05 / Avg: 343.49 / Max: 344.25 Min: 94.51 / Avg: 94.72 / Max: 95.03 Min: 147.06 / Avg: 147.17 / Max: 147.36 Min: 116.72 / Avg: 116.9 / Max: 117.12 Min: 105.45 / Avg: 105.64 / Max: 105.99 Min: 139.71 / Avg: 140.05 / Max: 140.49 Min: 257.39 / Avg: 257.55 / Max: 257.83 Min: 184.26 / Avg: 184.8 / Max: 185.52 Min: 104.32 / Avg: 104.44 / Max: 104.65 Min: 167.48 / Avg: 167.87 / Max: 168.27 Min: 237.79 / Avg: 238.73 / Max: 239.76 Min: 153.24 / Avg: 153.34 / Max: 153.46 Min: 197.44 / Avg: 198.03 / Max: 198.36 Min: 347.16 / Avg: 347.93 / Max: 348.59 Min: 259.14 / Avg: 259.26 / Max: 259.45 Min: 135.01 / Avg: 135.14 / Max: 135.24 Min: 199.07 / Avg: 199.43 / Max: 199.9 Min: 215.74 / Avg: 215.85 / Max: 215.97
cl-mem OpenBenchmarking.org GB/s Per Watt, More Is Better cl-mem 2017-01-13 Benchmark: Read RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 0.8663 1.7326 2.5989 3.4652 4.3315 3.38 1.05 1.68 1.69 1.19 2.67 2.10 1.90 1.34 2.76 3.26 1.86 3.28 3.37 3.85 1.76 3.09 3.47
clpeak Clpeak is designed to test the peak capabilities of OpenCL devices. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org GFLOPS, More Is Better clpeak OpenCL Test: Single-Precision Float RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 3K 6K 9K 12K 15K SE +/- 207.30, N = 3 SE +/- 40.24, N = 15 SE +/- 3.03, N = 3 SE +/- 7.83, N = 3 SE +/- 46.38, N = 8 SE +/- 61.47, N = 15 SE +/- 5.50, N = 3 SE +/- 3.14, N = 3 SE +/- 1.88, N = 3 SE +/- 77.72, N = 3 SE +/- 7.41, N = 3 SE +/- 7.63, N = 3 SE +/- 81.15, N = 15 SE +/- 228.75, N = 15 SE +/- 124.22, N = 3 SE +/- 44.36, N = 15 SE +/- 84.87, N = 15 SE +/- 76.18, N = 15 13532.74 3888.16 6269.49 4610.01 4476.69 4793.66 11720.57 8314.29 4199.71 5329.07 8883.90 6770.97 7198.64 14203.87 10335.50 5538.75 7089.50 8502.71 1. (CXX) g++ options: -O3 -rdynamic -lOpenCL Result Confidence
OpenBenchmarking.org GFLOPS, More Is Better clpeak OpenCL Test: Single-Precision Float RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 2K 4K 6K 8K 10K Min: 13125.63 / Avg: 13532.74 / Max: 13804.22 Min: 3498.29 / Avg: 3888.16 / Max: 3948.46 Min: 6265.3 / Avg: 6269.49 / Max: 6275.37 Min: 4597.89 / Avg: 4610.01 / Max: 4624.67 Min: 4152.15 / Avg: 4476.69 / Max: 4525.78 Min: 4537.68 / Avg: 4793.66 / Max: 5133.4 Min: 11712.35 / Avg: 11720.57 / Max: 11731.01 Min: 8308.48 / Avg: 8314.29 / Max: 8319.28 Min: 4196.49 / Avg: 4199.71 / Max: 4202.99 Min: 5220.89 / Avg: 5329.07 / Max: 5479.82 Min: 8869.2 / Avg: 8883.9 / Max: 8892.92 Min: 6760.98 / Avg: 6770.97 / Max: 6785.95 Min: 6674.06 / Avg: 7198.64 / Max: 7696.67 Min: 13053.45 / Avg: 14203.87 / Max: 15437.95 Min: 10140.95 / Avg: 10335.5 / Max: 10566.59 Min: 5101.9 / Avg: 5538.75 / Max: 5611.95 Min: 6660.52 / Avg: 7089.5 / Max: 7602.81 Min: 8142.21 / Avg: 8502.71 / Max: 9026.44 1. (CXX) g++ options: -O3 -rdynamic -lOpenCL
PlaidML OpenBenchmarking.org FPS Per Watt, More Is Better PlaidML FP16: Yes - Mode: Inference - Network: VGG19 - Device: OpenCL RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 0.1643 0.3286 0.4929 0.6572 0.8215 0.73 0.20 0.37 0.38 0.22 0.38 0.49 0.43 0.28 0.40 0.58 0.46 0.44 0.71 0.59 0.23 0.39 0.49
OpenBenchmarking.org FPS Per Watt, More Is Better PlaidML FP16: Yes - Mode: Inference - Network: Inception V3 - Device: OpenCL RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 0.459 0.918 1.377 1.836 2.295 2.04 0.56 0.95 1.22 0.61 1.32 1.13 1.10 0.78 1.34 1.75 1.12 1.57 2.04 1.99 0.60 1.49 1.72
OpenBenchmarking.org FPS Per Watt, More Is Better PlaidML FP16: Yes - Mode: Inference - Network: ResNet 50 - Device: OpenCL RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 0.576 1.152 1.728 2.304 2.88 2.53 0.71 1.24 1.42 0.78 1.47 1.76 1.51 1.01 1.55 2.19 1.57 1.69 2.56 2.22 0.79 1.74 2.10
cl-mem OpenBenchmarking.org GB/s Per Watt, More Is Better cl-mem 2017-01-13 Benchmark: Write RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 0.8348 1.6696 2.5044 3.3392 4.174 3.46 1.07 1.54 1.61 1.03 2.33 2.02 1.64 1.44 2.24 2.74 1.76 3.71 3.13 2.85 1.48 2.61 2.60
PlaidML This test profile uses PlaidML deep learning framework developed by Intel for offering up various benchmarks. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org FPS, More Is Better PlaidML FP16: No - Mode: Inference - Network: ResNet 50 - Device: OpenCL RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 140 280 420 560 700 SE +/- 0.63, N = 3 SE +/- 0.06, N = 3 SE +/- 0.15, N = 3 SE +/- 0.16, N = 3 SE +/- 0.02, N = 3 SE +/- 0.47, N = 3 SE +/- 0.72, N = 3 SE +/- 0.32, N = 3 SE +/- 0.07, N = 3 SE +/- 0.39, N = 3 SE +/- 0.25, N = 3 SE +/- 0.09, N = 3 SE +/- 0.27, N = 3 SE +/- 0.75, N = 3 SE +/- 0.61, N = 3 SE +/- 0.58, N = 3 SE +/- 0.53, N = 3 SE +/- 0.19, N = 3 634.09 181.87 276.89 228.14 203.91 259.43 496.24 337.47 196.00 319.25 441.24 294.36 376.73 648.36 468.70 247.47 374.71 421.58 Result Confidence
OpenBenchmarking.org FPS, More Is Better PlaidML FP16: No - Mode: Inference - Network: ResNet 50 - Device: OpenCL RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 110 220 330 440 550 Min: 632.87 / Avg: 634.09 / Max: 634.95 Min: 181.81 / Avg: 181.87 / Max: 181.99 Min: 276.68 / Avg: 276.89 / Max: 277.18 Min: 227.89 / Avg: 228.14 / Max: 228.44 Min: 203.88 / Avg: 203.91 / Max: 203.94 Min: 258.64 / Avg: 259.43 / Max: 260.28 Min: 494.81 / Avg: 496.24 / Max: 497.01 Min: 337.14 / Avg: 337.47 / Max: 338.12 Min: 195.86 / Avg: 196 / Max: 196.07 Min: 318.64 / Avg: 319.25 / Max: 319.97 Min: 440.77 / Avg: 441.24 / Max: 441.62 Min: 294.22 / Avg: 294.36 / Max: 294.52 Min: 376.25 / Avg: 376.73 / Max: 377.19 Min: 646.86 / Avg: 648.36 / Max: 649.2 Min: 467.54 / Avg: 468.7 / Max: 469.59 Min: 246.32 / Avg: 247.47 / Max: 248.16 Min: 374.14 / Avg: 374.71 / Max: 375.76 Min: 421.32 / Avg: 421.58 / Max: 421.95
OctaneBench OctaneBench is a test of the OctaneRender on the GPU and requires the use of NVIDIA CUDA. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Score, More Is Better OctaneBench 4.00c Total Score RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 70 140 210 280 350 309.04 95.60 132.86 118.49 109.70 132.28 212.04 147.98 91.44 164.52 222.88 141.35 206.88 322.76 233.56 142.20 205.23 220.76
PlaidML This test profile uses PlaidML deep learning framework developed by Intel for offering up various benchmarks. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org FPS, More Is Better PlaidML FP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCL RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 600 1200 1800 2400 3000 SE +/- 13.82, N = 3 SE +/- 1.43, N = 3 SE +/- 4.57, N = 3 SE +/- 1.34, N = 3 SE +/- 2.37, N = 3 SE +/- 2.77, N = 3 SE +/- 7.35, N = 3 SE +/- 4.27, N = 3 SE +/- 2.37, N = 3 SE +/- 3.62, N = 3 SE +/- 4.68, N = 3 SE +/- 0.80, N = 3 SE +/- 5.21, N = 3 SE +/- 4.02, N = 3 SE +/- 6.75, N = 3 SE +/- 1.24, N = 3 SE +/- 10.89, N = 3 SE +/- 4.73, N = 3 2750.57 841.48 1288.94 1160.52 973.39 1394.05 2162.58 1544.50 908.43 1694.07 2292.38 1371.21 1969.50 2842.38 2437.48 1202.77 1983.82 2264.97 Result Confidence
OpenBenchmarking.org FPS, More Is Better PlaidML FP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCL RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 500 1000 1500 2000 2500 Min: 2728.29 / Avg: 2750.57 / Max: 2775.87 Min: 838.63 / Avg: 841.48 / Max: 843.09 Min: 1279.87 / Avg: 1288.94 / Max: 1294.37 Min: 1159.04 / Avg: 1160.52 / Max: 1163.2 Min: 968.67 / Avg: 973.39 / Max: 976.16 Min: 1388.53 / Avg: 1394.05 / Max: 1397.22 Min: 2147.89 / Avg: 2162.58 / Max: 2170.35 Min: 1536.07 / Avg: 1544.5 / Max: 1549.93 Min: 903.72 / Avg: 908.43 / Max: 911.3 Min: 1687.76 / Avg: 1694.07 / Max: 1700.31 Min: 2284.48 / Avg: 2292.38 / Max: 2300.69 Min: 1369.86 / Avg: 1371.21 / Max: 1372.62 Min: 1960.87 / Avg: 1969.5 / Max: 1978.86 Min: 2836.78 / Avg: 2842.38 / Max: 2850.17 Min: 2424.79 / Avg: 2437.48 / Max: 2447.82 Min: 1201.03 / Avg: 1202.77 / Max: 1205.17 Min: 1962.07 / Avg: 1983.82 / Max: 1995.82 Min: 2257.89 / Avg: 2264.97 / Max: 2273.95
cl-mem OpenBenchmarking.org GB/s Per Watt, More Is Better cl-mem 2017-01-13 Benchmark: Copy RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 0.7268 1.4536 2.1804 2.9072 3.634 3.23 0.96 1.35 1.58 1.04 1.96 1.62 1.65 1.25 2.66 2.28 1.53 2.44 2.17 2.83 1.45 2.43 2.82
PlaidML OpenBenchmarking.org FPS Per Watt, More Is Better PlaidML FP16: Yes - Mode: Inference - Network: NASNer Large - Device: OpenCL RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 0.0833 0.1666 0.2499 0.3332 0.4165 0.37 0.11 0.18 0.21 0.12 0.22 0.24 0.20 0.15 0.23 0.29 0.23 0.26 0.37 0.32 0.13 0.25 0.30
OpenBenchmarking.org FPS Per Watt, More Is Better PlaidML FP16: No - Mode: Inference - Network: VGG16 - Device: OpenCL RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 0.2318 0.4636 0.6954 0.9272 1.159 0.98 0.31 0.56 0.58 0.32 0.56 0.75 0.61 0.42 0.62 0.82 0.67 0.68 1.03 0.82 0.32 0.71 0.81
Result
OpenBenchmarking.org FPS, More Is Better PlaidML FP16: Yes - Mode: Inference - Network: DenseNet 201 - Device: OpenCL RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 60 120 180 240 300 SE +/- 0.10, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.10, N = 3 SE +/- 0.12, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.15, N = 3 SE +/- 0.05, N = 3 SE +/- 0.17, N = 3 SE +/- 0.01, N = 3 SE +/- 0.22, N = 3 SE +/- 0.18, N = 3 SE +/- 0.07, N = 3 SE +/- 0.18, N = 3 SE +/- 0.03, N = 3 SE +/- 0.14, N = 3 254.45 79.71 127.02 102.83 92.92 114.58 191.31 143.53 91.07 154.19 189.28 130.15 176.49 263.13 200.38 111.46 179.51 190.01 Result Confidence
OpenBenchmarking.org FPS, More Is Better PlaidML FP16: Yes - Mode: Inference - Network: DenseNet 201 - Device: OpenCL RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 50 100 150 200 250 Min: 254.29 / Avg: 254.45 / Max: 254.63 Min: 79.69 / Avg: 79.71 / Max: 79.72 Min: 126.92 / Avg: 127.02 / Max: 127.07 Min: 102.69 / Avg: 102.83 / Max: 103.01 Min: 92.68 / Avg: 92.92 / Max: 93.05 Min: 114.52 / Avg: 114.58 / Max: 114.63 Min: 191.25 / Avg: 191.31 / Max: 191.34 Min: 143.51 / Avg: 143.53 / Max: 143.55 Min: 90.78 / Avg: 91.07 / Max: 91.23 Min: 154.1 / Avg: 154.19 / Max: 154.26 Min: 189.08 / Avg: 189.28 / Max: 189.62 Min: 130.13 / Avg: 130.15 / Max: 130.17 Min: 176.16 / Avg: 176.49 / Max: 176.91 Min: 262.77 / Avg: 263.13 / Max: 263.32 Min: 200.26 / Avg: 200.38 / Max: 200.51 Min: 111.2 / Avg: 111.46 / Max: 111.81 Min: 179.46 / Avg: 179.51 / Max: 179.56 Min: 189.74 / Avg: 190.01 / Max: 190.2
FAHBench FAHBench is a Folding@Home benchmark on the GPU. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Ns Per Day, More Is Better FAHBench 2.3.2 RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 70 140 210 280 350 SE +/- 0.90, N = 3 SE +/- 0.03, N = 3 SE +/- 0.43, N = 3 SE +/- 0.27, N = 3 SE +/- 0.08, N = 3 SE +/- 0.15, N = 3 SE +/- 0.43, N = 3 SE +/- 0.53, N = 3 SE +/- 0.17, N = 3 SE +/- 0.61, N = 3 SE +/- 0.99, N = 3 SE +/- 0.05, N = 3 SE +/- 0.64, N = 3 SE +/- 0.71, N = 3 SE +/- 0.78, N = 3 SE +/- 0.04, N = 3 SE +/- 0.34, N = 3 SE +/- 0.60, N = 3 301.89 91.53 140.29 126.64 102.86 139.81 198.25 155.22 102.61 183.41 242.75 138.21 204.71 301.93 256.83 116.02 205.20 229.12 Result Confidence
OpenBenchmarking.org Ns Per Day, More Is Better FAHBench 2.3.2 RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 50 100 150 200 250 Min: 300.8 / Avg: 301.89 / Max: 303.68 Min: 91.49 / Avg: 91.53 / Max: 91.59 Min: 139.79 / Avg: 140.29 / Max: 141.15 Min: 126.29 / Avg: 126.64 / Max: 127.17 Min: 102.74 / Avg: 102.86 / Max: 103.02 Min: 139.61 / Avg: 139.81 / Max: 140.1 Min: 197.72 / Avg: 198.25 / Max: 199.09 Min: 154.52 / Avg: 155.22 / Max: 156.25 Min: 102.39 / Avg: 102.61 / Max: 102.95 Min: 182.65 / Avg: 183.41 / Max: 184.63 Min: 241.66 / Avg: 242.75 / Max: 244.73 Min: 138.13 / Avg: 138.21 / Max: 138.28 Min: 203.78 / Avg: 204.71 / Max: 205.93 Min: 300.74 / Avg: 301.93 / Max: 303.21 Min: 256 / Avg: 256.83 / Max: 258.38 Min: 115.97 / Avg: 116.02 / Max: 116.09 Min: 204.54 / Avg: 205.2 / Max: 205.66 Min: 228.15 / Avg: 229.12 / Max: 230.21
PlaidML OpenBenchmarking.org FPS Per Watt, More Is Better PlaidML FP16: No - Mode: Inference - Network: VGG19 - Device: OpenCL RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 0.1688 0.3376 0.5064 0.6752 0.844 0.74 0.24 0.43 0.42 0.26 0.44 0.56 0.48 0.32 0.46 0.56 0.50 0.53 0.75 0.64 0.25 0.52 0.61
Rodinia Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes the OpenCL and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 2.4 Test: OpenCL Particle Filter RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 3 6 9 12 15 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.07, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.07, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.00, N = 3 SE +/- 0.07, N = 3 4.39 12.99 8.26 11.87 11.69 10.82 4.96 6.49 11.93 8.90 6.22 7.88 7.75 4.24 5.74 9.95 7.87 6.82 1. (CXX) g++ options: -O2 -lOpenCL Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 2.4 Test: OpenCL Particle Filter RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 4 8 12 16 20 Min: 4.37 / Avg: 4.39 / Max: 4.42 Min: 12.96 / Avg: 12.99 / Max: 13.02 Min: 8.25 / Avg: 8.26 / Max: 8.27 Min: 11.86 / Avg: 11.87 / Max: 11.89 Min: 11.6 / Avg: 11.69 / Max: 11.83 Min: 10.8 / Avg: 10.82 / Max: 10.85 Min: 4.94 / Avg: 4.96 / Max: 5.01 Min: 6.48 / Avg: 6.49 / Max: 6.51 Min: 11.91 / Avg: 11.93 / Max: 11.98 Min: 8.88 / Avg: 8.9 / Max: 8.93 Min: 6.2 / Avg: 6.22 / Max: 6.24 Min: 7.78 / Avg: 7.88 / Max: 8.01 Min: 7.74 / Avg: 7.75 / Max: 7.76 Min: 4.23 / Avg: 4.24 / Max: 4.26 Min: 5.72 / Avg: 5.74 / Max: 5.75 Min: 9.89 / Avg: 9.95 / Max: 10.01 Min: 7.87 / Avg: 7.87 / Max: 7.88 Min: 6.74 / Avg: 6.82 / Max: 6.96 1. (CXX) g++ options: -O2 -lOpenCL
PlaidML OpenBenchmarking.org FPS Per Watt, More Is Better PlaidML FP16: Yes - Mode: Inference - Network: DenseNet 201 - Device: OpenCL RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 0.3443 0.6886 1.0329 1.3772 1.7215 1.47 0.54 0.94 0.96 0.59 0.99 0.94 0.95 0.72 1.15 1.29 1.01 1.27 1.52 1.41 0.58 1.26 1.53
clpeak OpenBenchmarking.org GFLOPS Per Watt, More Is Better clpeak OpenCL Test: Double-Precision Double RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 0.6075 1.215 1.8225 2.43 3.0375 2.65 0.98 1.90 1.73 1.09 1.72 2.49 2.20 1.46 1.84 2.25 2.14 1.95 2.70 2.50 1.09 1.85 2.25
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.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Darktable 2.6.0 Test: Boat - Acceleration: OpenCL RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 0.9945 1.989 2.9835 3.978 4.9725 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 1.64 4.42 2.89 3.35 3.92 2.92 2.29 2.72 3.65 2.22 1.90 2.93 1.93 1.64 1.82 3.27 1.95 1.93 Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Darktable 2.6.0 Test: Boat - Acceleration: OpenCL RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 2 4 6 8 10 Min: 1.64 / Avg: 1.64 / Max: 1.64 Min: 4.41 / Avg: 4.42 / Max: 4.43 Min: 2.88 / Avg: 2.89 / Max: 2.9 Min: 3.34 / Avg: 3.35 / Max: 3.37 Min: 3.92 / Avg: 3.92 / Max: 3.93 Min: 2.91 / Avg: 2.92 / Max: 2.92 Min: 2.28 / Avg: 2.29 / Max: 2.3 Min: 2.72 / Avg: 2.72 / Max: 2.73 Min: 3.64 / Avg: 3.65 / Max: 3.66 Min: 2.21 / Avg: 2.22 / Max: 2.23 Min: 1.9 / Avg: 1.9 / Max: 1.9 Min: 2.93 / Avg: 2.93 / Max: 2.93 Min: 1.93 / Avg: 1.93 / Max: 1.94 Min: 1.61 / Avg: 1.64 / Max: 1.67 Min: 1.81 / Avg: 1.82 / Max: 1.82 Min: 3.26 / Avg: 3.27 / Max: 3.28 Min: 1.94 / Avg: 1.95 / Max: 1.95 Min: 1.93 / Avg: 1.93 / Max: 1.94
SHOC Scalable HeterOgeneous Computing OpenBenchmarking.org GFLOPS Per Watt, More Is Better SHOC Scalable HeterOgeneous Computing 2015-11-10 Target: OpenCL - Benchmark: Max SP Flops RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 20 40 60 80 100 76.69 29.29 50.30 50.17 31.40 49.63 66.26 59.87 40.06 50.36 63.93 61.43 57.13 77.72 73.23 32.05 56.38 65.76
JuliaGPU OpenBenchmarking.org Samples/sec Per Watt, More Is Better JuliaGPU 1.2pts1 OpenCL Device: GPU RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 600K 1200K 1800K 2400K 3000K 1910018.66 1275493.93 1809790.27 2790569.69 1325997.88 2880366.36 1682592.71 1906369.99 1658141.69 2469451.17 2691799.29 2260229.90 2271141.79 1923116.67 2379445.26 1099178.25 2670026.70 2632329.69
cl-mem A basic OpenCL memory benchmark. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org GB/s, More Is Better cl-mem 2017-01-13 Benchmark: Copy RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 70 140 210 280 350 SE +/- 0.40, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.15, N = 3 SE +/- 0.25, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.12, N = 3 SE +/- 0.15, N = 3 SE +/- 0.00, N = 3 SE +/- 0.24, N = 3 SE +/- 0.67, N = 3 SE +/- 0.13, N = 3 SE +/- 0.17, N = 3 SE +/- 0.31, N = 3 SE +/- 0.17, N = 3 324.40 124.77 182.00 145.37 143.40 208.50 283.20 205.93 137.20 237.77 289.20 182.70 284.43 322.20 301.23 216.83 287.80 291.87 1. (CC) gcc options: -O2 -flto -lOpenCL Result Confidence
OpenBenchmarking.org GB/s, More Is Better cl-mem 2017-01-13 Benchmark: Copy RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 60 120 180 240 300 Min: 323.7 / Avg: 324.4 / Max: 325.1 Min: 124.7 / Avg: 124.77 / Max: 124.8 Min: 181.9 / Avg: 182 / Max: 182.1 Min: 145.3 / Avg: 145.37 / Max: 145.4 Min: 143.4 / Avg: 143.4 / Max: 143.4 Min: 208.3 / Avg: 208.5 / Max: 208.8 Min: 282.9 / Avg: 283.2 / Max: 283.7 Min: 205.9 / Avg: 205.93 / Max: 206 Min: 137.1 / Avg: 137.2 / Max: 137.3 Min: 237.6 / Avg: 237.77 / Max: 238 Min: 289 / Avg: 289.2 / Max: 289.5 Min: 182.7 / Avg: 182.7 / Max: 182.7 Min: 284.1 / Avg: 284.43 / Max: 284.9 Min: 320.9 / Avg: 322.2 / Max: 323.1 Min: 301.1 / Avg: 301.23 / Max: 301.5 Min: 216.5 / Avg: 216.83 / Max: 217 Min: 287.4 / Avg: 287.8 / Max: 288.4 Min: 291.7 / Avg: 291.87 / Max: 292.2 1. (CC) gcc options: -O2 -flto -lOpenCL
ViennaCL OpenBenchmarking.org GFLOPS Per Watt, More Is Better ViennaCL 1.4.2 OpenCL LU Factorization RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 0.315 0.63 0.945 1.26 1.575 1.31 0.66 0.80 1.08 0.79 1.10 0.59 0.70 1.00 0.73 0.71 0.71 1.35 1.35 1.18 0.60 1.40 0.90
FAHBench OpenBenchmarking.org Ns Per Day Per Watt, More Is Better FAHBench 2.3.2 RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 0.3263 0.6526 0.9789 1.3052 1.6315 1.38 0.62 0.96 1.11 0.65 1.10 1.02 1.00 0.83 1.21 1.38 1.10 1.29 1.33 1.45 0.62 1.27 1.42
LuxMark OpenBenchmarking.org Score Per Watt, More Is Better LuxMark 3.1 OpenCL Device: GPU - Scene: Luxball HDR RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 30 60 90 120 150 131.66 65.07 95.03 108.70 67.87 102.75 88.26 76.55 83.34 112.43 119.09 111.54 130.30 137.34 130.92 70.64 131.33 136.85
OpenBenchmarking.org Score Per Watt, More Is Better LuxMark 3.1 OpenCL Device: GPU - Scene: Microphone RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 20 40 60 80 100 89.77 44.91 58.63 71.22 46.08 70.33 57.68 50.29 51.14 72.11 82.60 70.32 83.92 91.00 89.58 47.25 83.09 92.78
OpenBenchmarking.org Score Per Watt, More Is Better LuxMark 3.1 OpenCL Device: GPU - Scene: Hotel RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 6 12 18 24 30 26.99 13.72 19.59 24.22 14.16 22.50 20.02 18.51 17.00 22.92 24.50 25.64 25.52 27.46 27.41 15.21 26.38 27.18
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.
Result
OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.22.0 Backend: OpenCL RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 700 1400 2100 2800 3500 SE +/- 8.77, N = 3 SE +/- 1.93, N = 15 SE +/- 12.32, N = 15 SE +/- 4.05, N = 15 SE +/- 2.79, N = 3 SE +/- 5.83, N = 15 SE +/- 32.29, N = 3 SE +/- 14.70, N = 3 SE +/- 3.68, N = 4 SE +/- 1.84, N = 3 SE +/- 21.60, N = 3 SE +/- 8.69, N = 6 SE +/- 16.93, N = 15 SE +/- 28.21, N = 3 SE +/- 29.82, N = 3 SE +/- 5.67, N = 15 SE +/- 18.12, N = 15 SE +/- 17.64, N = 7 3032.10 207.84 642.12 335.86 280.99 420.04 1886.30 1146.75 262.41 704.69 1879.99 753.69 999.75 3126.48 2105.26 466.84 998.17 1604.21 1. (CXX) g++ options: -lpthread Result Confidence
OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.22.0 Backend: OpenCL RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 500 1000 1500 2000 2500 Min: 3020.49 / Avg: 3032.1 / Max: 3049.3 Min: 196.93 / Avg: 207.84 / Max: 221.87 Min: 543.08 / Avg: 642.12 / Max: 714.76 Min: 308.55 / Avg: 335.86 / Max: 357.56 Min: 275.81 / Avg: 280.99 / Max: 285.36 Min: 375.01 / Avg: 420.04 / Max: 449.23 Min: 1835.53 / Avg: 1886.3 / Max: 1946.25 Min: 1121.3 / Avg: 1146.75 / Max: 1172.23 Min: 253.74 / Avg: 262.41 / Max: 271.07 Min: 701.95 / Avg: 704.69 / Max: 708.17 Min: 1837.67 / Avg: 1879.99 / Max: 1908.71 Min: 712.7 / Avg: 753.69 / Max: 772.31 Min: 882.9 / Avg: 999.75 / Max: 1123.7 Min: 3071.21 / Avg: 3126.48 / Max: 3163.96 Min: 2066.54 / Avg: 2105.26 / Max: 2163.91 Min: 421.15 / Avg: 466.84 / Max: 492.4 Min: 902.21 / Avg: 998.17 / Max: 1118.93 Min: 1547.69 / Avg: 1604.21 / Max: 1678.53 1. (CXX) g++ options: -lpthread
clpeak OpenBenchmarking.org GIOPS Per Watt, More Is Better clpeak OpenCL Test: Integer Compute INT RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 30 60 90 120 150 54.76 9.19 23.89 79.94 8.44 61.38 16.52 26.82 10.83 63.25 123.07 25.59 52.78 66.58 72.16 9.00 80.74 60.39
LeelaChessZero OpenBenchmarking.org Nodes Per Second Per Watt, More Is Better LeelaChessZero 0.22.0 Backend: OpenCL RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 4 8 12 16 20 14.00 1.26 4.21 2.84 1.83 3.13 8.75 7.10 1.90 4.79 10.73 5.86 5.78 15.81 12.32 2.16 6.57 8.98
clpeak Clpeak is designed to test the peak capabilities of OpenCL devices. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org GIOPS, More Is Better clpeak OpenCL Test: Integer Compute INT RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 3K 6K 9K 12K 15K SE +/- 57.62, N = 3 SE +/- 19.67, N = 3 SE +/- 24.36, N = 3 SE +/- 32.97, N = 3 SE +/- 0.38, N = 3 SE +/- 64.34, N = 15 SE +/- 29.87, N = 15 SE +/- 26.46, N = 3 SE +/- 13.36, N = 15 SE +/- 63.11, N = 3 SE +/- 4.11, N = 3 SE +/- 0.72, N = 3 SE +/- 84.78, N = 15 SE +/- 156.59, N = 15 SE +/- 83.79, N = 15 SE +/- 23.09, N = 3 SE +/- 76.65, N = 15 SE +/- 81.60, N = 15 13609.33 1140.29 1685.05 4657.79 1312.06 4775.45 3301.89 2430.74 1267.89 5269.01 9660.92 2076.93 7161.48 13841.25 10404.71 1610.28 7023.07 8570.60 1. (CXX) g++ options: -O3 -rdynamic -lOpenCL Result Confidence
OpenBenchmarking.org GIOPS, More Is Better clpeak OpenCL Test: Integer Compute INT RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 2K 4K 6K 8K 10K Min: 13496.99 / Avg: 13609.33 / Max: 13687.78 Min: 1102.57 / Avg: 1140.29 / Max: 1168.83 Min: 1639.44 / Avg: 1685.05 / Max: 1722.69 Min: 4594.53 / Avg: 4657.79 / Max: 4705.52 Min: 1311.49 / Avg: 1312.06 / Max: 1312.77 Min: 4496.99 / Avg: 4775.45 / Max: 5173.28 Min: 3000.66 / Avg: 3301.89 / Max: 3375.19 Min: 2378.04 / Avg: 2430.74 / Max: 2461.23 Min: 1126.34 / Avg: 1267.89 / Max: 1290.72 Min: 5201.92 / Avg: 5269.01 / Max: 5395.15 Min: 9656.5 / Avg: 9660.92 / Max: 9669.13 Min: 2075.79 / Avg: 2076.93 / Max: 2078.25 Min: 6785.41 / Avg: 7161.48 / Max: 7580.47 Min: 13064.83 / Avg: 13841.25 / Max: 14710.79 Min: 10047.59 / Avg: 10404.71 / Max: 10847.47 Min: 1564.12 / Avg: 1610.28 / Max: 1634.55 Min: 6574.27 / Avg: 7023.07 / Max: 7441.44 Min: 8189.47 / Avg: 8570.6 / Max: 9038.07 1. (CXX) g++ options: -O3 -rdynamic -lOpenCL
NAMD CUDA NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD was developed by the Theoretical and Computational Biophysics Group in the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign. This version of the NAMD test profile uses CUDA GPU acceleration. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org days/ns, Fewer Is Better NAMD CUDA 2.13 ATPase Simulation - 327,506 Atoms RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 0.0818 0.1636 0.2454 0.3272 0.409 SE +/- 0.00238, N = 3 SE +/- 0.00026, N = 4 SE +/- 0.00195, N = 3 SE +/- 0.00287, N = 3 SE +/- 0.00159, N = 3 SE +/- 0.00192, N = 3 SE +/- 0.00044, N = 3 SE +/- 0.00088, N = 5 SE +/- 0.00303, N = 3 SE +/- 0.00147, N = 4 SE +/- 0.00199, N = 3 SE +/- 0.00075, N = 6 SE +/- 0.00250, N = 3 SE +/- 0.00297, N = 3 SE +/- 0.00233, N = 3 SE +/- 0.00105, N = 3 SE +/- 0.00245, N = 3 SE +/- 0.00245, N = 3 0.18909 0.36368 0.23957 0.25031 0.33110 0.23185 0.19669 0.20978 0.31789 0.20250 0.19307 0.22269 0.19440 0.18867 0.19385 0.28675 0.19336 0.19501 Result Confidence
OpenBenchmarking.org days/ns, Fewer Is Better NAMD CUDA 2.13 ATPase Simulation - 327,506 Atoms RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 1 2 3 4 5 Min: 0.19 / Avg: 0.19 / Max: 0.19 Min: 0.36 / Avg: 0.36 / Max: 0.36 Min: 0.24 / Avg: 0.24 / Max: 0.24 Min: 0.24 / Avg: 0.25 / Max: 0.25 Min: 0.33 / Avg: 0.33 / Max: 0.33 Min: 0.23 / Avg: 0.23 / Max: 0.23 Min: 0.2 / Avg: 0.2 / Max: 0.2 Min: 0.21 / Avg: 0.21 / Max: 0.21 Min: 0.31 / Avg: 0.32 / Max: 0.32 Min: 0.2 / Avg: 0.2 / Max: 0.21 Min: 0.19 / Avg: 0.19 / Max: 0.2 Min: 0.22 / Avg: 0.22 / Max: 0.23 Min: 0.19 / Avg: 0.19 / Max: 0.2 Min: 0.19 / Avg: 0.19 / Max: 0.19 Min: 0.19 / Avg: 0.19 / Max: 0.2 Min: 0.29 / Avg: 0.29 / Max: 0.29 Min: 0.19 / Avg: 0.19 / Max: 0.2 Min: 0.19 / Avg: 0.2 / Max: 0.2
JuliaGPU JuliaGPU is an OpenCL benchmark with this version containing various PTS-specific enhancements. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Samples/sec, More Is Better JuliaGPU 1.2pts1 OpenCL Device: GPU RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 60M 120M 180M 240M 300M SE +/- 78810.54, N = 3 SE +/- 383961.59, N = 3 SE +/- 76295.47, N = 3 SE +/- 197521.26, N = 3 SE +/- 52667.10, N = 3 SE +/- 495295.96, N = 3 SE +/- 540298.84, N = 3 SE +/- 341457.11, N = 3 SE +/- 137674.47, N = 3 SE +/- 121354.48, N = 3 SE +/- 169596.23, N = 3 SE +/- 97519.45, N = 3 SE +/- 633693.84, N = 3 SE +/- 489061.14, N = 3 SE +/- 1165562.77, N = 3 SE +/- 78142.08, N = 3 SE +/- 369711.60, N = 3 SE +/- 389272.10, N = 3 299834728.80 169258044.90 216942144.93 230919642.13 181882709.77 239300837.60 262248899.33 237914974.40 182188318.67 251925176.90 280162469.67 220447755.87 267086274.53 303198573.97 286818331.27 195653728.47 264172441.47 275868151.17 1. (CC) gcc options: -O3 -march=native -ftree-vectorize -funroll-loops -lglut -lOpenCL -lGL -lm Result Confidence
OpenBenchmarking.org Samples/sec, More Is Better JuliaGPU 1.2pts1 OpenCL Device: GPU RTX 2080 Ti GTX 970 GTX 1070 GTX 1660 GTX 980 GTX 1660 Ti GTX 1080 Ti GTX 1080 GTX 1060 RTX 2060 RTX 2080 GTX 1070 Ti RTX 2070 TITAN RTX RTX 2080 SUPER GTX 980 Ti RTX 2060 SUPER RTX 2070 SUPER 50M 100M 150M 200M 250M Min: 299683160.1 / Avg: 299834728.8 / Max: 299947976.5 Min: 168529375.9 / Avg: 169258044.9 / Max: 169832285.6 Min: 216792281.1 / Avg: 216942144.93 / Max: 217041948.9 Min: 230528006.9 / Avg: 230919642.13 / Max: 231160296.4 Min: 181805709 / Avg: 181882709.77 / Max: 181983456.7 Min: 238659645.2 / Avg: 239300837.6 / Max: 240275351.6 Min: 261590858.5 / Avg: 262248899.33 / Max: 263320217 Min: 237311155 / Avg: 237914974.4 / Max: 238493163.8 Min: 181934715.1 / Avg: 182188318.67 / Max: 182408000.5 Min: 251682900.3 / Avg: 251925176.9 / Max: 25205