Intel Core i9-10885H testing with a HP 8736 (S91 Ver. 01.02.01 BIOS) and NVIDIA Quadro RTX 5000 with Max-Q Design 16GB on Ubuntu 20.04 via the Phoronix Test Suite.
r1 Compiler Notes: --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++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vDisk Notes: NONE / errors=remount-ro,relatime,rw / Block Size: 4096Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xe0 - Thermald 1.9.1OpenCL Notes: GPU Compute Cores: 3072Python Notes: Python 3.8.3Security Notes: itlb_multihit: KVM: Mitigation of Split huge pages + l1tf: Not affected + mds: Not affected + 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 Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
r2 r3 Processor: Intel Core i9-10885H @ 5.30GHz (8 Cores / 16 Threads), Motherboard: HP 8736 (S91 Ver. 01.02.01 BIOS), Chipset: Intel Comet Lake PCH, Memory: 32GB, Disk: 2048GB KXG50PNV2T04 KIOXIA, Graphics: NVIDIA Quadro RTX 5000 with Max-Q Design 16GB (600/6000MHz), Audio: Intel Comet Lake PCH cAVS, Network: Intel Wi-Fi 6 AX201
OS: Ubuntu 20.04, Kernel: 5.6.0-1034-oem (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: NVIDIA 450.80.02, OpenGL: 4.6.0, OpenCL: OpenCL 1.2 CUDA 11.0.228, Vulkan: 1.2.133, Compiler: GCC 9.3.0 + CUDA 10.1, File-System: ext4, Screen Resolution: 1920x1080
HP Zbook OpenBenchmarking.org Phoronix Test Suite 10.8.4 Intel Core i9-10885H @ 5.30GHz (8 Cores / 16 Threads) HP 8736 (S91 Ver. 01.02.01 BIOS) Intel Comet Lake PCH 32GB 2048GB KXG50PNV2T04 KIOXIA NVIDIA Quadro RTX 5000 with Max-Q Design 16GB (600/6000MHz) Intel Comet Lake PCH cAVS Intel Wi-Fi 6 AX201 Ubuntu 20.04 5.6.0-1034-oem (x86_64) GNOME Shell 3.36.4 X Server 1.20.8 NVIDIA 450.80.02 4.6.0 OpenCL 1.2 CUDA 11.0.228 1.2.133 GCC 9.3.0 + CUDA 10.1 ext4 1920x1080 Processor Motherboard Chipset Memory Disk Graphics Audio Network OS Kernel Desktop Display Server Display Driver OpenGL OpenCL Vulkan Compiler File-System Screen Resolution HP Zbook Benchmarks System Logs - --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++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v - NONE / errors=remount-ro,relatime,rw / Block Size: 4096 - Scaling Governor: intel_pstate powersave - CPU Microcode: 0xe0 - Thermald 1.9.1 - GPU Compute Cores: 3072 - Python 3.8.3 - itlb_multihit: KVM: Mitigation of Split huge pages + l1tf: Not affected + mds: Not affected + 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 Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
r1 r2 r3 Result Overview Phoronix Test Suite 10.8.4 100% 112% 124% 136% CLOMP DDraceNetwork Redis ViennaCL TNN eSpeak-NG Speech Engine RNNoise NCNN Monkey Audio Encoding LuxCoreRender OpenCL Stockfish NeatBench LeelaChessZero Timed Eigen Compilation SQLite Speedtest Waifu2x-NCNN Vulkan Warsow asmFish Betsy GPU Compressor Rodinia GROMACS Cryptsetup Timed MAFFT Alignment Blender PHPBench Hashcat Node.js V8 Web Tooling Benchmark Crafty ASTC Encoder Mobile Neural Network PlaidML ArrayFire Unpacking Firefox VkFFT LZ4 Compression GraphicsMagick Unigine Superposition Numpy Benchmark NAMD CUDA VkResample LAMMPS Molecular Dynamics Simulator Unigine Heaven simdjson OpenVINO RedShift Demo Timed Linux Kernel Compilation rav1e dav1d LevelDB Build2 RawTherapee cl-mem Basis Universal RealSR-NCNN Inkscape TensorFlow Lite MandelGPU BRL-CAD DeepSpeech Embree Opus Codec Encoding clpeak Coremark Zstd Compression Timed FFmpeg Compilation High Performance Conjugate Gradient GEGL AI Benchmark Alpha OctaneBench Timed HMMer Search FAHBench oneDNN yquake2 Darktable FinanceBench IndigoBench
HP Zbook leveldb: Hot Read leveldb: Fill Sync leveldb: Fill Sync leveldb: Overwrite leveldb: Overwrite leveldb: Rand Fill leveldb: Rand Fill leveldb: Rand Read leveldb: Seek Rand leveldb: Rand Delete leveldb: Seq Fill leveldb: Seq Fill realsr-ncnn: 4x - No realsr-ncnn: 4x - Yes waifu2x-ncnn: 2x - 3 - Yes vkfft: hashcat: MD5 hashcat: SHA1 hashcat: 7-Zip hashcat: SHA-512 hashcat: TrueCrypt RIPEMD160 + XTS financebench: Black-Scholes OpenCL viennacl: OpenCL LU Factorization cl-mem: Copy cl-mem: Read cl-mem: Write namd-cuda: ATPase Simulation - 327,506 Atoms betsy: ETC1 - Highest betsy: ETC2 RGB - Highest vkresample: 2x - Double vkresample: 2x - Single ddnet: 1920 x 1080 - Fullscreen - OpenGL 3.0 - Default - RaiNyMore2 ddnet: 1920 x 1080 - Fullscreen - OpenGL 3.3 - Default - RaiNyMore2 ddnet: 1920 x 1080 - Fullscreen - OpenGL 3.0 - Default - Multeasymap ddnet: 1920 x 1080 - Fullscreen - OpenGL 3.3 - Default - Multeasymap unigine-heaven: 1920 x 1080 - Fullscreen - OpenGL unigine-super: 1920 x 1080 - Fullscreen - Low - OpenGL unigine-super: 1920 x 1080 - Fullscreen - High - OpenGL unigine-super: 1920 x 1080 - Fullscreen - Ultra - OpenGL unigine-super: 1920 x 1080 - Fullscreen - Medium - OpenGL warsow: 1920 x 1080 yquake2: OpenGL 1.x - 1920 x 1080 yquake2: OpenGL 3.x - 1920 x 1080 yquake2: Software CPU - 1920 x 1080 octanebench: Total Score redshift: luxcorerender-cl: DLSC luxcorerender-cl: Food luxcorerender-cl: LuxCore Benchmark luxcorerender-cl: Rainbow Colors and Prism fahbench: hpcg: lczero: OpenCL rodinia: OpenCL Particle Filter clomp: Static OMP Speedup hmmer: Pfam Database Search mafft: Multiple Sequence Alignment - LSU RNA lammps: Rhodopsin Protein simdjson: Kostya simdjson: LargeRand simdjson: PartialTweets simdjson: DistinctUserID compress-lz4: 1 - Compression Speed compress-lz4: 1 - Decompression Speed compress-lz4: 3 - Compression Speed compress-lz4: 3 - Decompression Speed compress-lz4: 9 - Compression Speed compress-lz4: 9 - Decompression Speed compress-zstd: 3 compress-zstd: 19 crafty: Elapsed Time arrayfire: Conjugate Gradient OpenCL graphics-magick: Swirl graphics-magick: Rotate graphics-magick: Sharpen graphics-magick: Enhanced graphics-magick: Resizing graphics-magick: Noise-Gaussian graphics-magick: HWB Color Space onednn: IP Shapes 1D - f32 - CPU onednn: IP Shapes 3D - f32 - CPU onednn: IP Shapes 1D - u8s8f32 - CPU onednn: IP Shapes 3D - u8s8f32 - CPU onednn: Convolution Batch Shapes Auto - f32 - CPU onednn: Deconvolution Batch shapes_1d - f32 - CPU onednn: Deconvolution Batch shapes_3d - f32 - CPU onednn: Convolution Batch Shapes Auto - u8s8f32 - CPU onednn: Deconvolution Batch shapes_1d - u8s8f32 - CPU onednn: Deconvolution Batch shapes_3d - u8s8f32 - CPU onednn: Recurrent Neural Network Training - f32 - CPU onednn: Recurrent Neural Network Inference - f32 - CPU onednn: Recurrent Neural Network Training - u8s8f32 - CPU onednn: Recurrent Neural Network Inference - u8s8f32 - CPU onednn: Matrix Multiply Batch Shapes Transformer - f32 - CPU onednn: Recurrent Neural Network Training - bf16bf16bf16 - CPU onednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPU onednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPU dav1d: Chimera 1080p dav1d: Summer Nature 4K dav1d: Summer Nature 1080p dav1d: Chimera 1080p 10-bit embree: Pathtracer - Crown embree: Pathtracer ISPC - Crown embree: Pathtracer - Asian Dragon embree: Pathtracer ISPC - Asian Dragon rav1e: 1 rav1e: 5 rav1e: 6 rav1e: 10 coremark: CoreMark Size 666 - Iterations Per Second stockfish: Total Time asmfish: 1024 Hash Memory, 26 Depth build-ffmpeg: Time To Compile build-linux-kernel: Time To Compile build2: Time To Compile numpy: build-eigen: Time To Compile deepspeech: CPU encode-ape: WAV To APE encode-opus: WAV To Opus Encode espeak: Text-To-Speech Synthesis rnnoise: node-web-tooling: cryptsetup: PBKDF2-sha512 cryptsetup: PBKDF2-whirlpool cryptsetup: AES-XTS 256b Encryption cryptsetup: AES-XTS 256b Decryption cryptsetup: Serpent-XTS 256b Encryption cryptsetup: Serpent-XTS 256b Decryption cryptsetup: Twofish-XTS 256b Encryption cryptsetup: Twofish-XTS 256b Decryption cryptsetup: AES-XTS 512b Encryption cryptsetup: AES-XTS 512b Decryption cryptsetup: Serpent-XTS 512b Encryption cryptsetup: Serpent-XTS 512b Decryption cryptsetup: Twofish-XTS 512b Decryption cryptsetup: Twofish-XTS 512b Encryption gromacs: Water Benchmark tensorflow-lite: SqueezeNet tensorflow-lite: Inception V4 tensorflow-lite: NASNet Mobile tensorflow-lite: Mobilenet Float tensorflow-lite: Mobilenet Quant tensorflow-lite: Inception ResNet V2 astcenc: Fast astcenc: Medium astcenc: Thorough astcenc: Exhaustive basis: ETC1S basis: UASTC Level 0 basis: UASTC Level 2 basis: UASTC Level 3 basis: UASTC Level 2 + RDO Post-Processing sqlite-speedtest: Timed Time - Size 1,000 darktable: Boat - CPU-only darktable: Masskrug - CPU-only darktable: Server Rack - CPU-only darktable: Server Room - CPU-only gegl: Crop gegl: Scale gegl: Cartoon gegl: Reflect gegl: Antialias gegl: Tile Glass gegl: Wavelet Blur gegl: Color Enhance gegl: Rotate 90 Degrees inkscape: SVG Files To PNG rawtherapee: Total Benchmark Time redis: LPOP redis: SADD redis: LPUSH redis: GET redis: SET mnn: SqueezeNetV1.0 mnn: resnet-v2-50 mnn: MobileNetV2_224 mnn: mobilenet-v1-1.0 mnn: inception-v3 ncnn: CPU - mobilenet ncnn: CPU-v2-v2 - mobilenet-v2 ncnn: CPU-v3-v3 - mobilenet-v3 ncnn: CPU - shufflenet-v2 ncnn: CPU - mnasnet ncnn: CPU - efficientnet-b0 ncnn: CPU - blazeface ncnn: CPU - googlenet ncnn: CPU - vgg16 ncnn: CPU - resnet18 ncnn: CPU - alexnet ncnn: CPU - resnet50 ncnn: CPU - yolov4-tiny ncnn: CPU - squeezenet_ssd ncnn: CPU - regnety_400m ncnn: Vulkan GPU - mobilenet ncnn: Vulkan GPU-v2-v2 - mobilenet-v2 ncnn: Vulkan GPU-v3-v3 - mobilenet-v3 ncnn: Vulkan GPU - shufflenet-v2 ncnn: Vulkan GPU - mnasnet ncnn: Vulkan GPU - efficientnet-b0 ncnn: Vulkan GPU - blazeface ncnn: Vulkan GPU - googlenet ncnn: Vulkan GPU - vgg16 ncnn: Vulkan GPU - resnet18 ncnn: Vulkan GPU - alexnet ncnn: Vulkan GPU - resnet50 ncnn: Vulkan GPU - yolov4-tiny ncnn: Vulkan GPU - squeezenet_ssd ncnn: Vulkan GPU - regnety_400m tnn: CPU - MobileNet v2 tnn: CPU - SqueezeNet v1.1 plaidml: No - Inference - IMDB LSTM - OpenCL plaidml: No - Inference - Mobilenet - OpenCL plaidml: Yes - Inference - Mobilenet - OpenCL plaidml: No - Inference - DenseNet 201 - OpenCL openvino: Face Detection 0106 FP16 - CPU openvino: Face Detection 0106 FP16 - CPU openvino: Face Detection 0106 FP32 - CPU openvino: Face Detection 0106 FP32 - CPU openvino: Person Detection 0106 FP16 - CPU openvino: Person Detection 0106 FP16 - CPU openvino: Person Detection 0106 FP32 - CPU openvino: Person Detection 0106 FP32 - CPU openvino: Age Gender Recognition Retail 0013 FP16 - CPU openvino: Age Gender Recognition Retail 0013 FP16 - CPU openvino: Age Gender Recognition Retail 0013 FP32 - CPU openvino: Age Gender Recognition Retail 0013 FP32 - CPU indigobench: CPU - Bedroom indigobench: CPU - Supercar blender: BMW27 - CUDA blender: Classroom - CUDA blender: Fishy Cat - CUDA blender: Barbershop - CUDA blender: BMW27 - NVIDIA OptiX blender: Classroom - NVIDIA OptiX blender: Fishy Cat - NVIDIA OptiX blender: Barbershop - NVIDIA OptiX blender: Pabellon Barcelona - CUDA blender: Pabellon Barcelona - NVIDIA OptiX mandelgpu: GPU clpeak: Integer Compute INT clpeak: Single-Precision Float clpeak: Double-Precision Double clpeak: Global Memory Bandwidth neatbench: GPU ai-benchmark: Device Inference Score ai-benchmark: Device Training Score ai-benchmark: Device AI Score phpbench: PHP Benchmark Suite unpack-firefox: firefox-84.0.source.tar.xz brl-cad: VGR Performance Metric r1 r2 r3 6.946 0.5 3361.777 43.2 40.925 43.1 41.037 9.620 12.694 47.228 37.5 47.235 14.734 99.812 6.020 25820 24334866667 8585766667 373667 1023100000 301233 17.477667 68.2924 236.6 330.3 215.7 0.22103 5.854 8.016 256.867 24.992 170.36 158.21 413.88 435.20 139.126 177.7 65.9 25.1 90.4 955.6 59.9 60 60.7 189.085068 461 2.70 1.27 2.26 5.30 186.4611 3.96177 13277 7.115 3.7 105.526 10.497 5.198 0.76 0.5 0.86 0.89 8120.67 9823.2 57.88 9676.3 55.72 9679.8 2833.6 28.8 9497414 2.549 207 902 72 115 552 146 775 7.16575 12.4721 3.17762 2.72558 21.6871 9.77594 9.87893 18.0080 8.96782 4.74772 7155.41 3795.02 7140.50 3795.81 4.36381 7144.23 3797.32 4.45564 489.84 112.75 460.02 86.08 6.0806 7.0735 7.5555 9.1343 0.347 1.069 1.444 3.422 223414.807558 9703133 15984719 100.257 151.656 210.051 419.58 68.744 81.29517 10.512 7.624 26.474 22.084 13.06 1919349 816282 4005.6 4002.4 874.1 872.3 482.0 482.5 3346.8 3348.3 878.0 871.7 482.7 483.0 0.617 354892 5163190 302594 239119 236716 4660197 5.44 7.68 54.29 447.99 57.824 7.288 55.499 110.838 840.347 49.547 15.914 7.128 0.181 4.181 8.900 6.954 86.789 28.183 36.556 28.243 57.993 54.114 37.697 20.996 80.586 3394660.2 2660539.42 2041750.08 3248596.08 2375800.25 8.899 58.161 5.239 10.646 62.568 26.62 7.31 5.74 7.93 6.67 10.00 2.54 19.98 72.09 18.62 15.50 37.81 35.95 27.64 19.16 26.52 7.23 5.74 7.92 6.63 10.01 2.55 20.05 71.96 18.62 15.44 37.25 35.52 27.58 19.16 321.420 272.907 463.34 1246.78 1819.24 110.07 1.28 3165.24 1.26 3202.53 0.80 4961.99 0.79 5069.44 3442.78 1.17 3363.55 1.21 0.939 2.147 91.00 250.78 168.87 734.81 41.47 116.76 60.35 1192.96 608.80 196.21 251986408.7 5504.35 5940.64 340.42 324.63 27.5 730 816 1546 837911 16.028 63909 7.099 0.5 3424.918 43.2 40.955 43.1 41.027 9.692 12.629 47.296 37.4 47.287 14.656 100.617 6.102 25647 24260200000 8544500000 370400 1020000000 301433 17.476 64.2335 235.4 329.9 215.6 0.22238 5.789 7.912 257.062 25.190 169.30 100.58 412.43 429.37 139.905 178.1 66.5 25.4 90.6 967.9 59.9 60 60.7 189.101719 460 2.77 1.32 2.31 5.39 186.4777 3.96068 13173 7.055 2.5 105.572 10.564 5.169 0.75 0.5 0.87 0.88 8127.78 9839.9 57.36 9653.7 56.07 9664.8 2831.0 28.7 9584148 2.531 207 875 72 115 551 147 774 7.04404 12.4447 3.16769 2.77670 21.6992 9.76468 9.77701 17.9035 9.00692 4.71457 7159.48 3797.05 7159.42 3800.41 4.37852 7154.66 3799.45 4.47062 486.46 112.03 459.61 85.83 6.0989 6.9794 7.5656 9.2596 0.346 1.064 1.440 3.404 223304.983286 9839292 15974611 100.397 152.208 210.712 419.36 67.543 81.07316 10.861 7.602 27.178 21.316 13.17 1943008 830020 4080.5 4055.1 881.4 876.6 487.4 486.3 3381.9 3388.5 882.1 878.1 485.7 486.4 0.610 356034 5168183 304756 239224 237129 4670567 5.59 7.61 54.38 449.37 58.063 7.345 55.742 110.926 840.319 50.268 15.870 7.150 0.181 4.174 8.839 6.973 87.319 28.496 36.557 28.242 57.950 54.312 37.541 21.048 80.934 2104092.33 2628039.25 2094056.31 3012560.83 2413657.0 8.982 58.530 5.291 10.675 63.180 26.63 7.22 5.81 6.95 5.96 9.05 2.60 20.01 71.91 18.71 15.46 37.30 35.59 27.51 18.91 26.53 7.22 5.73 6.98 5.86 9.02 2.29 18.20 71.82 18.33 15.53 37.34 35.51 27.52 17.15 295.547 264.948 477.39 1244.95 1823.06 109.98 1.28 3166.57 1.27 3207.35 0.80 4978.25 0.79 5079.89 3403.45 1.19 3307.53 1.23 0.938 2.150 90.82 251.90 167.96 731.67 38.07 116.15 60.18 1190.05 609.56 196.28 252826584.8 5519.39 5858.32 340.46 324.58 27.1 730 814 1544 832417 16.137 63822 7.128 0.5 3386.084 43.4 40.760 43.2 40.981 9.573 12.644 47.388 37.3 47.415 14.694 100.748 6.093 25683 24196900000 8535333333 366433 1016800000 298133 17.476333 65.9180 235.1 329.9 214.8 0.22171 5.792 7.903 257.615 25.225 151.49 130.66 412.38 434.24 139.184 177.4 66.2 25.3 90.5 968.6 59.9 60 60.6 189.316553 459 2.76 1.30 2.29 5.41 186.6158 3.95457 13416 7.027 3.6 105.505 10.608 5.179 0.75 0.5 0.86 0.88 8079.18 9810.0 58.89 9685.2 57.01 9695.2 2835.1 28.8 9560012 2.548 207 900 73 115 551 147 776 7.14574 12.6089 3.11291 2.74874 21.6210 9.73732 9.81238 18.0326 9.06628 4.73728 7169.03 3797.72 7151.58 3798.12 4.38535 7147.09 3792.87 4.46656 487.57 112.65 459.71 85.95 6.0641 6.9976 7.5496 9.1967 0.347 1.064 1.443 3.420 223892.444726 9629353 16180674 100.203 151.478 210.945 417.03 68.699 81.03983 10.592 7.616 27.713 22.044 13.18 1886103 810352 4023.0 4026.9 874.1 870.9 483.6 483.0 3336.0 3362.9 874.4 873.5 483.0 483.8 0.614 356258 5178263 304079 239537 237406 4677473 5.63 7.58 54.65 449.90 58.062 7.353 55.766 111.040 841.228 50.261 15.863 7.155 0.181 4.178 8.826 7.000 86.993 28.313 36.646 28.055 57.843 54.101 37.691 21.068 80.712 2809233.48 2634908.83 2083566.29 3009326.75 2433543.8 8.944 58.786 5.285 10.658 63.563 26.53 7.23 5.81 7.03 5.96 9.06 2.57 20.21 71.86 18.66 15.49 37.22 35.66 27.63 19.38 26.51 7.19 5.81 7.05 5.91 8.99 2.29 18.26 71.86 18.38 15.50 37.26 35.53 27.55 17.60 299.396 272.676 478.73 1247.93 1817.78 109.99 1.28 3164.51 1.27 3212.10 0.80 5006.34 0.79 5073.09 3405.92 1.19 3347.93 1.22 0.935 2.156 90.93 251.80 168.08 733.02 38.07 116.26 60.25 1192.80 608.62 196.41 252822614.4 5540.44 5892.70 340.59 324.78 27.6 730 814 1544 829705 16.103 64033 OpenBenchmarking.org
RealSR-NCNN RealSR-NCNN is an NCNN neural network implementation of the RealSR project and accelerated using the Vulkan API. RealSR is the Real-World Super Resolution via Kernel Estimation and Noise Injection. NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. This test profile times how long it takes to increase the resolution of a sample image by a scale of 4x with Vulkan. Learn more via the OpenBenchmarking.org test page.
Waifu2x-NCNN Vulkan Waifu2x-NCNN is an NCNN neural network implementation of the Waifu2x converter project and accelerated using the Vulkan API. NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. This test profile times how long it takes to increase the resolution of a sample image with Vulkan. Learn more via the OpenBenchmarking.org test page.
VkFFT VkFFT is a Fast Fourier Transform (FFT) Library that is GPU accelerated by means of the Vulkan API. The VkFFT benchmark runs FFT performance differences of many different sizes before returning an overall benchmark score. Learn more via the OpenBenchmarking.org test page.
ViennaCL ViennaCL is an open-source linear algebra library written in C++ and with support for OpenCL and OpenMP. This test profile uses ViennaCL OpenCL support and runs the included computational benchmark. Learn more via the OpenBenchmarking.org test page.
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.
Betsy GPU Compressor Betsy is an open-source GPU compressor of various GPU compression techniques. Betsy is written in GLSL for Vulkan/OpenGL (compute shader) support for GPU-based texture compression. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Milliseconds, Fewer Is Better DDraceNetwork 15.2.3 Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.0 - Zoom: Default - Demo: Multeasymap - Total Frame Time r1 r2 r3 3 6 9 12 15 Min: 2 / Avg: 2.43 / Max: 6.55 Min: 2 / Avg: 2.46 / Max: 6.5 Min: 2 / Avg: 2.39 / Max: 7.28 1. (CXX) g++ options: -O3 -rdynamic -lcrypto -lz -lrt -lpthread -lcurl -lfreetype -lSDL2 -lwavpack -lopusfile -lopus -logg -lGL -lX11 -lnotify -lgdk_pixbuf-2.0 -lgio-2.0 -lgobject-2.0 -lglib-2.0
OpenBenchmarking.org Milliseconds, Fewer Is Better DDraceNetwork 15.2.3 Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: Multeasymap - Total Frame Time r1 r2 r3 3 6 9 12 15 Min: 2 / Avg: 2.3 / Max: 10.06 Min: 2 / Avg: 2.32 / Max: 5.18 Min: 2 / Avg: 2.32 / Max: 8.68 1. (CXX) g++ options: -O3 -rdynamic -lcrypto -lz -lrt -lpthread -lcurl -lfreetype -lSDL2 -lwavpack -lopusfile -lopus -logg -lGL -lX11 -lnotify -lgdk_pixbuf-2.0 -lgio-2.0 -lgobject-2.0 -lglib-2.0
Unigine Superposition This test calculates the average frame-rate within the Superposition demo for the Unigine engine, released in 2017. This engine is extremely demanding on the system's graphics card. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better yquake2 7.45 Renderer: OpenGL 3.x - Resolution: 1920 x 1080 r1 r2 r3 13 26 39 52 65 60 60 60 1. (CC) gcc options: -lm -ldl -rdynamic -shared -lSDL2 -O2 -pipe -fomit-frame-pointer -std=gnu99 -fno-strict-aliasing -fwrapv -fvisibility=hidden -MMD -mfpmath=sse -fPIC
LuxCoreRender OpenCL LuxCoreRender is an open-source physically based renderer. This test profile is focused on running LuxCoreRender on OpenCL accelerators/GPUs. The alternative luxcorerender test profile is for CPU execution due to a difference in tests, etc. Learn more via the OpenBenchmarking.org test page.
High Performance Conjugate Gradient HPCG is the High Performance Conjugate Gradient and is a new scientific benchmark from Sandia National Lans focused for super-computer testing with modern real-world workloads compared to HPCC. Learn more via the OpenBenchmarking.org test page.
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 select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.
CLOMP CLOMP is the C version of the Livermore OpenMP benchmark developed to measure OpenMP overheads and other performance impacts due to threading in order to influence future system designs. This particular test profile configuration is currently set to look at the OpenMP static schedule speed-up across all available CPU cores using the recommended test configuration. Learn more via the OpenBenchmarking.org test page.
simdjson This is a benchmark of SIMDJSON, a high performance JSON parser. SIMDJSON aims to be the fastest JSON parser and is used by projects like Microsoft FishStore, Yandex ClickHouse, Shopify, and others. Learn more via the OpenBenchmarking.org test page.
oneDNN This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI initiative. Learn more via the OpenBenchmarking.org test page.