AMD Radeon VII OpenCL GPU Compute Benchmarks

Benchmarks for Radeon VII launch day by Michael Larabel for a future article. Radeon tests with ROCm 2.0 on Linux 5.0 kernel.

HTML result view exported from: https://openbenchmarking.org/result/1902066-SP-VIICOMPUT16&gru.

AMD Radeon VII OpenCL GPU Compute BenchmarksProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLOpenCLVulkanCompilerFile-SystemScreen ResolutionDisplay DriverRX 580RX 590RX Vega 56RX Vega 64Radeon VIIGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiRTX 2060RTX 2070RTX 2080RTX 2080 TiTITAN RTXIntel Core i9-9900K @ 5.00GHz (8 Cores / 16 Threads)ASUS PRIME Z390-A (0602 BIOS)Intel Cannon Lake PCH Shared SRAM16384MBSamsung SSD 970 EVO 250GB + 2000GB SABRENTMSI AMD Radeon RX 470/480/570/570X/580/580X 8GB (1366/2000MHz)Realtek ALC1220Acer B286HKIntel I219-VUbuntu 18.105.0.0-050000rc4-generic (x86_64) 20190127GNOME Shell 3.30.1X Server 1.20.14.5 Mesa 19.0.0-devel padoka PPA (LLVM 9.0.0)OpenCL 2.1 AMD-APP (2783.0)1.1.90GCC 8.2.0ext43840x2160Sapphire AMD Radeon RX 470/480/570/570X/580/580X 8GB (1560/2100MHz)AMD Radeon RX 64 8GB (1590/800MHz)AMD Radeon RX 64 8GB (1630/945MHz)AMD Vega 20 16GB (1801/1000MHz)NVIDIA GeForce GTX 1060 6GB (1506/4006MHz)4.20.3-042003-generic (x86_64)NVIDIA 415.274.6.0OpenCL 1.2 CUDA 10.0.1321.1.84NVIDIA GeForce GTX 1070 8GB (1506/4006MHz)Zotac NVIDIA GeForce GTX 1070 Ti 8GB (1607/4006MHz)NVIDIA GeForce GTX 1080 8GB (1607/5005MHz)NVIDIA GeForce GTX 1080 Ti 11GB (1480/5508MHz)NVIDIA GeForce RTX 2060 6GB (1365/7000MHz)ASUS NVIDIA GeForce RTX 2070 8GB (1410/7000MHz)Zotac NVIDIA GeForce RTX 2080 8GB (1515/7000MHz)NVIDIA GeForce RTX 2080 Ti 11GB (1350/7000MHz)NVIDIA TITAN RTX 24GB (1350/7000MHz)OpenBenchmarking.orgCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --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 Details- Scaling Governor: intel_pstate performancePython Details- Python 2.7.15+ + Python 3.6.7Security Details- __user pointer sanitization + Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + SSB disabled via prctl and seccompOpenCL Details- GTX 1060: GPU Compute Cores: 1280- GTX 1070: GPU Compute Cores: 1920- GTX 1070 Ti: GPU Compute Cores: 2432- GTX 1080: GPU Compute Cores: 2560- GTX 1080 Ti: GPU Compute Cores: 3584- RTX 2060: GPU Compute Cores: 1920- RTX 2070: GPU Compute Cores: 2304- RTX 2080: GPU Compute Cores: 2944- RTX 2080 Ti: GPU Compute Cores: 4352- TITAN RTX: GPU Compute Cores: 4608

AMD Radeon VII OpenCL GPU Compute Benchmarksplaidml: Yes - Inference - Mobilenet - OpenCLplaidml: Yes - Inference - Inception V3 - OpenCLplaidml: Yes - Inference - ResNet 50 - OpenCLplaidml: Yes - Inference - VGG16 - OpenCLplaidml: No - Training - IMDB LSTM - OpenCLplaidml: No - Inference - Mobilenet - OpenCLplaidml: No - Inference - ResNet 50 - OpenCLplaidml: No - Inference - VGG16 - OpenCLclpeak: Global Memory Bandwidthclpeak: Single-Precision Floatlczero: OpenCLluxmark: GPU - Luxball HDRRX 580RX 590RX Vega 56RX Vega 64Radeon VIIGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiRTX 2060RTX 2070RTX 2080RTX 2080 TiTITAN RTX56376.5912860.9813041413365.1820662026401527159982.7113764.0414445314268.69217706968317221575109.03195106.66178720228120.443171035775831079587120.03213119.99184835270137.623621246985632565904166.30353197.632001233403224.778071345313915557055288.8518394.6213459219494.0814542398991225666411723712615676425712919658781430172876451202371281537552621311976776147816776686132264139167801292143222793417501380377416733419418788333918932910853233321682779134282148188863309150276663014842135683015733317919810083761893657968172929532893168354192216104540020336810270225929146971211458250246129153727350515352310742787977215474264244133655628952516386327546022OpenBenchmarking.org

GPU Temperature Monitor

Phoronix Test Suite System Monitoring

OpenBenchmarking.orgCelsiusGPU Temperature MonitorPhoronix Test Suite System MonitoringRX 580RX 590RX Vega 56RX Vega 64Radeon VIIGTX 1070GTX 1070 TiGTX 1080GTX 1080 TiRTX 2060RTX 2070RTX 2080RTX 2080 TiTITAN RTX20406080100Min: 26 / Avg: 39.71 / Max: 61Min: 35 / Avg: 46.18 / Max: 73Min: 28 / Avg: 47.45 / Max: 74Min: 45 / Avg: 52.93 / Max: 65Min: 36 / Avg: 52.37 / Max: 101Min: 32 / Avg: 61.66 / Max: 76Min: 38 / Avg: 45.88 / Max: 53Min: 31 / Avg: 60.14 / Max: 74Min: 39 / Avg: 66.36 / Max: 82Min: 37 / Avg: 55.81 / Max: 70Min: 32 / Avg: 56.83 / Max: 74Min: 48 / Avg: 67.06 / Max: 83Min: 43 / Avg: 61.88 / Max: 77Min: 33 / Avg: 62.56 / Max: 79

System Power Consumption Monitor

Phoronix Test Suite System Monitoring

OpenBenchmarking.orgWattsSystem Power Consumption MonitorPhoronix Test Suite System MonitoringRX 580RX 590RX Vega 56RX Vega 64Radeon VIIGTX 1070GTX 1070 TiGTX 1080GTX 1080 TiRTX 2060RTX 2070RTX 2080RTX 2080 TiTITAN RTX70140210280350Min: 69 / Avg: 125.65 / Max: 229.5Min: 75 / Avg: 138.2 / Max: 253.3Min: 47.1 / Avg: 125.63 / Max: 271.3Min: 49.7 / Avg: 129.09 / Max: 305.4Min: 55.7 / Avg: 125.32 / Max: 337.5Min: 42.3 / Avg: 142.19 / Max: 280.5Min: 47.2 / Avg: 123.43 / Max: 255.8Min: 40.2 / Avg: 143.79 / Max: 318.2Min: 47.2 / Avg: 198.85 / Max: 370.3Min: 42.5 / Avg: 144.37 / Max: 300.1Min: 43.9 / Avg: 160.13 / Max: 317.6Min: 46 / Avg: 176.62 / Max: 334.5Min: 47.2 / Avg: 220.83 / Max: 367.7Min: 49.4 / Avg: 228.34 / Max: 363.1

PlaidML

FP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCL

OpenBenchmarking.orgExamples Per Second Per Watt, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCLRX 580RX 590RX Vega 56RX Vega 64Radeon VIIGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiRTX 2060RTX 2070RTX 2080RTX 2080 TiTITAN RTX36912155.144.746.238.4811.545.127.226.577.345.196.418.876.8210.288.82

PlaidML

FP16: Yes - Mode: Inference - Network: Inception V3 - Device: OpenCL

OpenBenchmarking.orgExamples Per Second Per Watt, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: Inception V3 - Device: OpenCLRX 580RX 590RX Vega 56RX Vega 64Radeon VIIGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiRTX 2060RTX 2070RTX 2080RTX 2080 TiTITAN RTX0.2880.5760.8641.1521.440.520.510.740.661.240.670.760.900.780.820.921.071.081.121.28

PlaidML

FP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCL

OpenBenchmarking.orgExamples Per Second, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCLRX 580RX 590RX Vega 56RX Vega 64Radeon VIIGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiRTX 2060RTX 2070RTX 2080RTX 2080 TiTITAN RTX2004006008001000SE +/- 1.03, N = 3SE +/- 1.00, N = 3SE +/- 6.73, N = 3SE +/- 9.53, N = 3SE +/- 4.52, N = 3SE +/- 0.87, N = 3SE +/- 4.06, N = 3SE +/- 3.15, N = 3SE +/- 5.02, N = 3SE +/- 3.70, N = 3SE +/- 1.27, N = 3SE +/- 1.07, N = 3SE +/- 1.63, N = 3SE +/- 2.70, N = 3SE +/- 3.45, N = 3563599575587904552664645686774779830893971977

PlaidML

FP16: Yes - Mode: Inference - Network: Inception V3 - Device: OpenCL

OpenBenchmarking.orgExamples Per Second, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: Inception V3 - Device: OpenCLRX 580RX 590RX Vega 56RX Vega 64Radeon VIIGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiRTX 2060RTX 2070RTX 2080RTX 2080 TiTITAN RTX50100150200250SE +/- 0.04, N = 3SE +/- 0.11, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.20, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.30, N = 3SE +/- 0.07, N = 3SE +/- 0.58, N = 3SE +/- 0.44, N = 3SE +/- 0.18, N = 3SE +/- 0.40, N = 3SE +/- 0.48, N = 3SE +/- 1.30, N = 376.5982.71109.03120.03166.3088.85117.00120.00132.00167.00134.00157.00168.00211.00215.00

PlaidML

FP16: Yes - Mode: Inference - Network: ResNet 50 - Device: OpenCL

OpenBenchmarking.orgExamples Per Second Per Watt, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: ResNet 50 - Device: OpenCLRX 580RX 590RX Vega 56RX Vega 64Radeon VIIGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiRTX 2060RTX 2070RTX 2080RTX 2080 TiTITAN RTX0.66381.32761.99142.65523.3190.910.891.381.242.751.491.762.081.621.781.962.512.392.952.92

PlaidML

FP16: Yes - Mode: Inference - Network: VGG16 - Device: OpenCL

OpenBenchmarking.orgExamples Per Second Per Watt, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: VGG16 - Device: OpenCLRX 580RX 590RX Vega 56RX Vega 64Radeon VIIGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiRTX 2060RTX 2070RTX 2080RTX 2080 TiTITAN RTX0.34880.69761.04641.39521.7440.410.390.700.551.550.720.921.020.801.081.081.271.211.381.50

PlaidML

FP16: No - Mode: Training - Network: IMDB LSTM - Device: OpenCL

OpenBenchmarking.orgExamples Per Second Per Watt, More Is BetterPlaidMLFP16: No - Mode: Training - Network: IMDB LSTM - Device: OpenCLRX 580RX 590RX Vega 56RX Vega 64Radeon VIIGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiRTX 2060RTX 2070RTX 2080RTX 2080 TiTITAN RTX0.36450.7291.09351.4581.82250.890.951.071.111.451.081.141.241.141.141.621.561.561.541.60

PlaidML

FP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCL

OpenBenchmarking.orgExamples Per Second Per Watt, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCLRX 580RX 590RX Vega 56RX Vega 64Radeon VIIGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiRTX 2060RTX 2070RTX 2080RTX 2080 TiTITAN RTX36912153.623.295.827.479.347.727.128.065.427.029.008.7010.678.456.67

PlaidML

FP16: No - Mode: Inference - Network: ResNet 50 - Device: OpenCL

OpenBenchmarking.orgExamples Per Second Per Watt, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: OpenCLRX 580RX 590RX Vega 56RX Vega 64Radeon VIIGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiRTX 2060RTX 2070RTX 2080RTX 2080 TiTITAN RTX0.69981.39962.09942.79923.4990.920.881.511.522.971.591.771.941.921.822.302.442.513.112.86

PlaidML

FP16: No - Mode: Inference - Network: VGG16 - Device: OpenCL

OpenBenchmarking.orgExamples Per Second Per Watt, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG16 - Device: OpenCLRX 580RX 590RX Vega 56RX Vega 64Radeon VIIGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiRTX 2060RTX 2070RTX 2080RTX 2080 TiTITAN RTX0.29250.5850.87751.171.46250.400.370.640.641.300.650.790.890.790.820.901.031.081.281.29

PlaidML

FP16: Yes - Mode: Inference - Network: ResNet 50 - Device: OpenCL

OpenBenchmarking.orgExamples Per Second, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: ResNet 50 - Device: OpenCLRX 580RX 590RX Vega 56RX Vega 64Radeon VIIGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiRTX 2060RTX 2070RTX 2080RTX 2080 TiTITAN RTX100200300400500SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.13, N = 3SE +/- 0.96, N = 3SE +/- 0.17, N = 3SE +/- 0.38, N = 3SE +/- 0.16, N = 3SE +/- 0.24, N = 3SE +/- 0.34, N = 3SE +/- 0.26, N = 3SE +/- 0.76, N = 3SE +/- 0.40, N = 3SE +/- 1.03, N = 3SE +/- 1.16, N = 3128137195213353183237237264334282333354458474

PlaidML

FP16: Yes - Mode: Inference - Network: VGG16 - Device: OpenCL

OpenBenchmarking.orgExamples Per Second, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: VGG16 - Device: OpenCLRX 580RX 590RX Vega 56RX Vega 64Radeon VIIGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiRTX 2060RTX 2070RTX 2080RTX 2080 TiTITAN RTX60120180240300SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.12, N = 3SE +/- 0.06, N = 3SE +/- 0.09, N = 3SE +/- 0.32, N = 3SE +/- 0.15, N = 3SE +/- 0.26, N = 3SE +/- 0.32, N = 3SE +/- 0.20, N = 3SE +/- 0.43, N = 360.9864.04106.66119.99197.6394.62126.00128.00139.00194.00148.00179.00192.00250.00264.00

PlaidML

FP16: No - Mode: Training - Network: IMDB LSTM - Device: OpenCL

OpenBenchmarking.orgExamples Per Second, More Is BetterPlaidMLFP16: No - Mode: Training - Network: IMDB LSTM - Device: OpenCLRX 580RX 590RX Vega 56RX Vega 64Radeon VIIGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiRTX 2060RTX 2070RTX 2080RTX 2080 TiTITAN RTX50100150200250SE +/- 0.25, N = 3SE +/- 0.19, N = 3SE +/- 0.24, N = 3SE +/- 0.19, N = 3SE +/- 0.32, N = 3SE +/- 0.17, N = 3SE +/- 0.50, N = 3SE +/- 0.03, N = 3SE +/- 0.60, N = 3SE +/- 0.49, N = 3SE +/- 0.38, N = 3SE +/- 0.82, N = 3SE +/- 0.27, N = 3SE +/- 0.72, N = 3SE +/- 0.96, N = 3130144178184200134156153167187188198216246244

PlaidML

FP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCL

OpenBenchmarking.orgExamples Per Second, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCLRX 580RX 590RX Vega 56RX Vega 64Radeon VIIGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiRTX 2060RTX 2070RTX 2080RTX 2080 TiTITAN RTX30060090012001500SE +/- 0.26, N = 3SE +/- 0.24, N = 3SE +/- 9.70, N = 3SE +/- 7.40, N = 3SE +/- 3.74, N = 3SE +/- 3.04, N = 3SE +/- 1.02, N = 3SE +/- 0.31, N = 3SE +/- 0.61, N = 3SE +/- 4.51, N = 3SE +/- 1.86, N = 3SE +/- 1.43, N = 3SE +/- 0.31, N = 3SE +/- 1.39, N = 3SE +/- 3.01, N = 341445372083512335927647558018838631008104512911336

PlaidML

FP16: No - Mode: Inference - Network: ResNet 50 - Device: OpenCL

OpenBenchmarking.orgExamples Per Second, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: OpenCLRX 580RX 590RX Vega 56RX Vega 64Radeon VIIGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiRTX 2060RTX 2070RTX 2080RTX 2080 TiTITAN RTX120240360480600SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 2.52, N = 3SE +/- 1.40, N = 3SE +/- 0.30, N = 3SE +/- 0.11, N = 3SE +/- 0.45, N = 3SE +/- 0.24, N = 3SE +/- 0.41, N = 3SE +/- 0.55, N = 3SE +/- 0.26, N = 3SE +/- 0.33, N = 3SE +/- 0.45, N = 3SE +/- 0.31, N = 3SE +/- 1.67, N = 3133142228270403194257262292339309376400537556

PlaidML

FP16: No - Mode: Inference - Network: VGG16 - Device: OpenCL

OpenBenchmarking.orgExamples Per Second, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG16 - Device: OpenCLRX 580RX 590RX Vega 56RX Vega 64Radeon VIIGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiRTX 2060RTX 2070RTX 2080RTX 2080 TiTITAN RTX60120180240300SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.18, N = 3SE +/- 0.11, N = 3SE +/- 0.38, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.12, N = 3SE +/- 0.16, N = 3SE +/- 0.27, N = 3SE +/- 0.17, N = 3SE +/- 0.36, N = 3SE +/- 0.72, N = 365.1868.69120.44137.62224.7794.08129.00131.00143.00189.00150.00189.00203.00273.00289.00

clpeak

OpenCL Test: Global Memory Bandwidth

OpenBenchmarking.orgGBPS, More Is BetterclpeakOpenCL Test: Global Memory BandwidthRX 580RX 590RX Vega 56RX Vega 64Radeon VIIGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiRTX 2060RTX 2070RTX 2080RTX 2080 TiTITAN RTX2004006008001000SE +/- 1.46, N = 3SE +/- 1.82, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.10, N = 3SE +/- 0.95, N = 3SE +/- 0.02, N = 3SE +/- 0.22, N = 3SE +/- 0.05, N = 3SE +/- 0.68, N = 3SE +/- 0.19, N = 3SE +/- 2.69, N = 3SE +/- 0.37, N = 3SE +/- 0.48, N = 3SE +/- 1.70, N = 32062173173628071451961972223292763653685055251. (CXX) g++ options: -O3 -rdynamic -lOpenCL

clpeak

OpenCL Test: Single-Precision Float

OpenBenchmarking.orgGFLOPS, More Is BetterclpeakOpenCL Test: Single-Precision FloatRX 580RX 590RX Vega 56RX Vega 64Radeon VIIGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiRTX 2060RTX 2070RTX 2080RTX 2080 TiTITAN RTX4K8K12K16K20KSE +/- 1.21, N = 3SE +/- 15.75, N = 3SE +/- 38.50, N = 3SE +/- 41.13, N = 3SE +/- 1.83, N = 3SE +/- 3.56, N = 3SE +/- 393.27, N = 3SE +/- 14.43, N = 3SE +/- 396.02, N = 3SE +/- 782.31, N = 3SE +/- 657.16, N = 3SE +/- 495.99, N = 3SE +/- 732.21, N = 3SE +/- 1065.18, N = 3SE +/- 688.69, N = 362027069103571246913453423958786776793410853663079681027015352163861. (CXX) g++ options: -O3 -rdynamic -lOpenCL

LeelaChessZero

Backend: OpenCL

OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterLeelaChessZero 0.20.1Backend: OpenCLRX 580RX 590RX Vega 56RX Vega 64Radeon VIIGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiRTX 2060RTX 2070RTX 2080RTX 2080 TiTITAN RTX5101520253.743.624.382.739.385.977.779.4511.818.807.579.2710.1315.1022.11

LeelaChessZero

Backend: OpenCL

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.20.1Backend: OpenCLRX 580RX 590RX Vega 56RX Vega 64Radeon VIIGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiRTX 2060RTX 2070RTX 2080RTX 2080 TiTITAN RTX7001400210028003500SE +/- 2.68, N = 3SE +/- 2.57, N = 3SE +/- 2.66, N = 3SE +/- 5.51, N = 3SE +/- 8.64, N = 3SE +/- 6.27, N = 3SE +/- 9.63, N = 3SE +/- 13.26, N = 3SE +/- 32.06, N = 3SE +/- 25.14, N = 3SE +/- 13.06, N = 3SE +/- 20.57, N = 3SE +/- 22.18, N = 3SE +/- 20.98, N = 3SE +/- 28.14, N = 364068375885613918991430147817502333148417292259310732751. (CXX) g++ options: -lpthread

LuxMark

OpenCL Device: GPU - Scene: Luxball HDR

OpenBenchmarking.orgScore, More Is BetterLuxMark 3.1OpenCL Device: GPU - Scene: Luxball HDRRX 580RX 590RX Vega 56RX Vega 64Radeon VIIGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiRTX 2060RTX 2070RTX 2080RTX 2080 TiTITAN RTX12K24K36K48K60KSE +/- 17.84, N = 3SE +/- 74.83, N = 3SE +/- 65.67, N = 3SE +/- 583.87, N = 3SE +/- 258.00, N = 3SE +/- 46.58, N = 3SE +/- 1.33, N = 3SE +/- 14.90, N = 3SE +/- 42.00, N = 3SE +/- 8.33, N = 3SE +/- 31.58, N = 3SE +/- 107.00, N = 3SE +/- 25.12, N = 3SE +/- 155.67, N = 3SE +/- 103.04, N = 3152711722131079325655557012256172871677613803216822135629532291464278746022

LuxMark

OpenCL Device: GPU - Scene: Luxball HDR

OpenBenchmarking.orgScore Per Watt, More Is BetterLuxMark 3.1OpenCL Device: GPU - Scene: Luxball HDRRX 580RX 590RX Vega 56RX Vega 64Radeon VIIGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiRTX 2060RTX 2070RTX 2080RTX 2080 TiTITAN RTX408012016020080.5378.90120.5898.89188.3685.5398.48114.1679.4289.34110.80131.09123.99133.42137.54

LeelaChessZero

System Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterLeelaChessZero 0.20.1System Power Consumption MonitorRX 580RX 590RX Vega 56RX Vega 64Radeon VIIGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiRTX 2060RTX 2070RTX 2080RTX 2080 TiTITAN RTX60120180240300Min: 69.3 / Avg: 171.21 / Max: 229.5Min: 75.2 / Avg: 188.72 / Max: 253.3Min: 47.2 / Avg: 173.2 / Max: 262.2Min: 50.2 / Avg: 313.27 / Max: 342.7Min: 56 / Avg: 148.33 / Max: 269Min: 41.9 / Avg: 150.59 / Max: 180Min: 42.6 / Avg: 184.04 / Max: 213.3Min: 80 / Avg: 156.39 / Max: 189.7Min: 40.2 / Avg: 148.14 / Max: 249.5Min: 96.9 / Avg: 265.17 / Max: 323.1Min: 69.4 / Avg: 196.01 / Max: 230Min: 75.1 / Avg: 186.61 / Max: 251.7Min: 88.3 / Avg: 222.99 / Max: 288.3Min: 48.2 / Avg: 205.76 / Max: 349.4Min: 97.7 / Avg: 148.16 / Max: 357.7

PlaidML

System Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLSystem Power Consumption MonitorRX 580RX 590RX Vega 56RX Vega 64Radeon VIIGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiRTX 2060RTX 2070RTX 2080RTX 2080 TiTITAN RTX4080120160200Min: 75.6 / Avg: 109.4 / Max: 179Min: 82.3 / Avg: 126.56 / Max: 194.9Min: 49.6 / Avg: 92.35 / Max: 157.7Min: 54 / Avg: 69.27 / Max: 82.4Min: 58.1 / Avg: 78.39 / Max: 92.6Min: 42.1 / Avg: 107.84 / Max: 141.6Min: 42.8 / Avg: 91.98 / Max: 117.4Min: 48.7 / Avg: 98.18 / Max: 132.6Min: 43.7 / Avg: 93.48 / Max: 127.3Min: 91.6 / Avg: 149.17 / Max: 203.2Min: 45.5 / Avg: 121.65 / Max: 166.1Min: 46 / Avg: 93.68 / Max: 129.3Min: 56.3 / Avg: 130.87 / Max: 184.7Min: 48.4 / Avg: 94.48 / Max: 113.3Min: 52.9 / Avg: 110.8 / Max: 140.2

PlaidML

System Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLSystem Power Consumption MonitorRX 580RX 590RX Vega 56RX Vega 64Radeon VIIGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiRTX 2060RTX 2070RTX 2080RTX 2080 TiTITAN RTX50100150200250Min: 73.1 / Avg: 146.45 / Max: 195.4Min: 91.8 / Avg: 163.54 / Max: 221.5Min: 58.9 / Avg: 147.82 / Max: 249.5Min: 50.6 / Avg: 181.52 / Max: 296Min: 69.7 / Avg: 134.1 / Max: 228.1Min: 87.5 / Avg: 132.19 / Max: 156.7Min: 81.8 / Avg: 153.87 / Max: 183Min: 56.1 / Avg: 132.15 / Max: 155Min: 89.5 / Avg: 168.75 / Max: 202.8Min: 120.7 / Avg: 202.56 / Max: 256.6Min: 45 / Avg: 144.95 / Max: 190.7Min: 45.8 / Avg: 146.81 / Max: 206.6Min: 47.5 / Avg: 155.97 / Max: 224.6Min: 48.4 / Avg: 188.73 / Max: 275.6Min: 51.5 / Avg: 168.92 / Max: 275.4

PlaidML

System Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLSystem Power Consumption MonitorRX 580RX 590RX Vega 56RX Vega 64Radeon VIIGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiRTX 2060RTX 2070RTX 2080RTX 2080 TiTITAN RTX60120180240300Min: 73.6 / Avg: 141.5 / Max: 187.8Min: 81.1 / Avg: 153.59 / Max: 208.6Min: 50.5 / Avg: 141.19 / Max: 254.3Min: 82.4 / Avg: 172.03 / Max: 313.6Min: 70.1 / Avg: 128.33 / Max: 243.5Min: 60.4 / Avg: 122.52 / Max: 164.5Min: 83.8 / Avg: 134.85 / Max: 189.4Min: 48.5 / Avg: 113.89 / Max: 160.8Min: 91.6 / Avg: 162.7 / Max: 211.1Min: 122.3 / Avg: 187.68 / Max: 270.3Min: 86.5 / Avg: 143.68 / Max: 202.9Min: 78.4 / Avg: 132.98 / Max: 222.4Min: 47.4 / Avg: 148.19 / Max: 240.2Min: 48.4 / Avg: 155.12 / Max: 292.5Min: 52.6 / Avg: 162.76 / Max: 301.7

PlaidML

System Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLSystem Power Consumption MonitorRX 580RX 590RX Vega 56RX Vega 64Radeon VIIGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiRTX 2060RTX 2070RTX 2080RTX 2080 TiTITAN RTX60120180240300Min: 73.2 / Avg: 147.27 / Max: 187.1Min: 79.7 / Avg: 162.83 / Max: 210.1Min: 50.2 / Avg: 151.48 / Max: 258.1Min: 53.4 / Avg: 217.55 / Max: 319.8Min: 57.5 / Avg: 127.89 / Max: 264.7Min: 58.2 / Avg: 131.14 / Max: 167.2Min: 43.1 / Avg: 136.92 / Max: 191.2Min: 48.4 / Avg: 125.32 / Max: 169.8Min: 70.3 / Avg: 172.91 / Max: 216.6Min: 65.2 / Avg: 179.46 / Max: 287.9Min: 62.3 / Avg: 137.76 / Max: 208Min: 47.2 / Avg: 141.31 / Max: 234Min: 49.8 / Avg: 158.89 / Max: 252.8Min: 47.7 / Avg: 180.78 / Max: 312Min: 58.3 / Avg: 176.01 / Max: 322.5

PlaidML

System Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLSystem Power Consumption MonitorRX 580RX 590RX Vega 56RX Vega 64Radeon VIIGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiRTX 2060RTX 2070RTX 2080RTX 2080 TiTITAN RTX50100150200250Min: 71.3 / Avg: 146.11 / Max: 185.3Min: 80.2 / Avg: 152.62 / Max: 212.4Min: 74.8 / Avg: 165.69 / Max: 271.3Min: 52.2 / Avg: 165.89 / Max: 305.6Min: 87.3 / Avg: 137.45 / Max: 192.4Min: 70.1 / Avg: 124.21 / Max: 145Min: 82.2 / Avg: 136.83 / Max: 164.9Min: 104.8 / Avg: 123.57 / Max: 135.6Min: 90.8 / Avg: 146.71 / Max: 176.8Min: 50.4 / Avg: 165.05 / Max: 214.8Min: 44.3 / Avg: 116.14 / Max: 162.7Min: 47.1 / Avg: 127.27 / Max: 169.5Min: 46.4 / Avg: 138.03 / Max: 185.4Min: 48.6 / Avg: 159.87 / Max: 223.7Min: 57.5 / Avg: 152.07 / Max: 231.9

PlaidML

System Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLSystem Power Consumption MonitorRX 580RX 590RX Vega 56RX Vega 64Radeon VIIGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiRTX 2060RTX 2070RTX 2080RTX 2080 TiTITAN RTX50100150200250Min: 71.7 / Avg: 114.33 / Max: 178.6Min: 82.4 / Avg: 137.7 / Max: 205.5Min: 72.5 / Avg: 123.7 / Max: 259.6Min: 52.5 / Avg: 111.85 / Max: 223.9Min: 92.8 / Avg: 132.03 / Max: 241.7Min: 41.8 / Avg: 76.7 / Max: 94.4Min: 45.9 / Avg: 107.3 / Max: 155.1Min: 49.7 / Avg: 93.67 / Max: 125.7Min: 44.3 / Avg: 147.75 / Max: 195.1Min: 53.3 / Avg: 125.73 / Max: 165.2Min: 43.1 / Avg: 95.9 / Max: 118.8Min: 115.1 / Avg: 115.83 / Max: 116.5Min: 52 / Avg: 97.93 / Max: 121Min: 48.2 / Avg: 152.87 / Max: 274.6Min: 54 / Avg: 200.17 / Max: 274.2

PlaidML

System Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLSystem Power Consumption MonitorRX 580RX 590RX Vega 56RX Vega 64Radeon VIIGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiRTX 2060RTX 2070RTX 2080RTX 2080 TiTITAN RTX60120180240300Min: 73 / Avg: 145.33 / Max: 194.5Min: 81 / Avg: 162.42 / Max: 220Min: 50.1 / Avg: 150.39 / Max: 271.1Min: 81.5 / Avg: 177.38 / Max: 338.2Min: 58.8 / Avg: 135.42 / Max: 277Min: 71.4 / Avg: 121.65 / Max: 172.6Min: 45.2 / Avg: 145.44 / Max: 201.2Min: 48.6 / Avg: 134.71 / Max: 168.9Min: 91.9 / Avg: 152.34 / Max: 225.3Min: 61.2 / Avg: 185.7 / Max: 280.5Min: 65 / Avg: 134.41 / Max: 208.9Min: 49.8 / Avg: 153.92 / Max: 242.3Min: 48.4 / Avg: 158.95 / Max: 257.5Min: 100.3 / Avg: 172.57 / Max: 323.3Min: 102.3 / Avg: 194.3 / Max: 332.7

PlaidML

System Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLSystem Power Consumption MonitorRX 580RX 590RX Vega 56RX Vega 64Radeon VIIGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiRTX 2060RTX 2070RTX 2080RTX 2080 TiTITAN RTX60120180240300Min: 73 / Avg: 163.55 / Max: 194.8Min: 86.9 / Avg: 184.98 / Max: 216.4Min: 78.5 / Avg: 188.36 / Max: 262.2Min: 52.7 / Avg: 216.48 / Max: 338.1Min: 58.2 / Avg: 172.91 / Max: 296.6Min: 72.7 / Avg: 144.61 / Max: 170.9Min: 43.1 / Avg: 162.78 / Max: 197.9Min: 47.9 / Avg: 146.58 / Max: 171.7Min: 45.1 / Avg: 180.6 / Max: 225Min: 127.7 / Avg: 231.45 / Max: 296.9Min: 44 / Avg: 167.51 / Max: 215.1Min: 68.7 / Avg: 183.65 / Max: 245.5Min: 50.9 / Avg: 188.45 / Max: 269.3Min: 47.6 / Avg: 212.98 / Max: 331.1Min: 55.4 / Avg: 223.68 / Max: 345.8

LuxMark

System Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterLuxMark 3.1System Power Consumption MonitorRX 580RX 590RX Vega 56RX Vega 64Radeon VIIGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiRTX 2060RTX 2070RTX 2080RTX 2080 TiTITAN RTX60120180240300Min: 71.5 / Avg: 189.63 / Max: 196.7Min: 82.1 / Avg: 218.27 / Max: 228.9Min: 60.2 / Avg: 257.74 / Max: 269.1Min: 49.5 / Avg: 329.31 / Max: 338.6Min: 87.3 / Avg: 295.02 / Max: 302.2Min: 111.3 / Avg: 143.3 / Max: 145.4Min: 82.6 / Avg: 175.54 / Max: 179.2Min: 47.6 / Avg: 146.95 / Max: 149.7Min: 89.3 / Avg: 173.79 / Max: 175.8Min: 161.6 / Avg: 242.69 / Max: 248.1Min: 44 / Avg: 192.74 / Max: 197.4Min: 46 / Avg: 225.28 / Max: 233.2Min: 48.9 / Avg: 235.08 / Max: 244.1Min: 47.7 / Avg: 320.7 / Max: 332Min: 50.6 / Avg: 334.61 / Max: 351.7

Phoronix Test Suite v10.8.4