Coder Radio XPS 13 ML Ubuntu Benchmark

Intel Core i7-10510U testing with a LENOVO 20U9CTO1WW (N2WET24W 1.14 BIOS) and Intel UHD 3GB on Fedora 33 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2101022-AS-2101015FI37
Jump To Table - Results

View

Do Not Show Noisy Results
Do Not Show Results With Incomplete Data
Do Not Show Results With Little Change/Spread
List Notable Results
Show Result Confidence Charts

Limit displaying results to tests within:

CPU Massive 5 Tests
Creator Workloads 2 Tests
HPC - High Performance Computing 12 Tests
Machine Learning 12 Tests
NVIDIA GPU Compute 2 Tests
Python 4 Tests
Server CPU Tests 4 Tests

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
Show Geometric Means Per-Suite/Category
Show Wins / Losses Counts (Pie Chart)
Normalize Results
Remove Outliers Before Calculating Averages

Graph Settings

Force Line Graphs Where Applicable
Convert To Scalar Where Applicable
Prefer Vertical Bar Graphs

Additional Graphs

Show Perf Per Clock Calculation Graphs Where Applicable

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Hide
Result
Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
XPS 13 Tiger Lake Ubuntu 20.04
December 31 2020
  11 Hours, 14 Minutes
ThinkPad X1 Fedora Comet Lake
January 01 2021
  16 Hours, 32 Minutes
Invert Hiding All Results Option
  13 Hours, 53 Minutes
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):

XPS 13 Tiger Lake Ubuntu 20.04

Processor: Intel Core i5-1135G7 @ 4.20GHz (4 Cores / 8 Threads), Motherboard: Dell 0THX8P (1.1.1 BIOS), Chipset: Intel Device a0ef, Memory: 16GB, Disk: Micron 2300 NVMe 512GB, Graphics: Intel Xe 3GB (1300MHz), Audio: Realtek ALC289, Network: Intel Device a0f0

OS: Ubuntu 20.04, Kernel: 5.6.0-1036-oem (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.8, Vulkan: 1.2.131, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1200

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 -v
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x60 - Thermald 1.9.1
Python Notes: Python 3.8.5
Security Notes: itlb_multihit: Not affected + 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

ThinkPad X1 Fedora Comet Lake

Processor: Intel Core i7-10510U @ 4.90GHz (4 Cores / 8 Threads), Motherboard: LENOVO 20U9CTO1WW (N2WET24W 1.14 BIOS), Chipset: Intel Comet Lake PCH-LP, Memory: 2 x 8 GB LPDDR3-2133MT/s Samsung, Disk: 256GB Western Digital PC SN730 SDBQNTY-256G-1001, Graphics: Intel UHD 3GB (1150MHz), Audio: Realtek ALC285, Network: Intel + Intel Comet Lake PCH-LP CNVi WiFi

OS: Fedora 33, Kernel: 5.9.16-200.fc33.x86_64 (x86_64), Desktop: KDE Plasma 5.20.4, Display Server: X Server 1.20.10, Display Driver: modesetting 1.20.10, OpenGL: 4.6 Mesa 20.2.6, Compiler: GCC 10.2.1 20201125 + Clang 11.0.0, File-System: btrfs, Screen Resolution: 2560x1440

Compiler Notes: --build=x86_64-redhat-linux --disable-libunwind-exceptions --enable-__cxa_atexit --enable-bootstrap --enable-cet --enable-checking=release --enable-gnu-indirect-function --enable-gnu-unique-object --enable-initfini-array --enable-languages=c,c++,fortran,objc,obj-c++,ada,go,d,lto --enable-multilib --enable-offload-targets=nvptx-none --enable-plugin --enable-shared --enable-threads=posix --mandir=/usr/share/man --with-arch_32=i686 --with-gcc-major-version-only --with-isl --with-linker-hash-style=gnu --with-tune=generic --without-cuda-driver
Processor Notes: Scaling Governor: intel_pstate powersave
Python Notes: Python 3.9.1
Security Notes: SELinux + itlb_multihit: KVM: Mitigation of VMX unsupported + 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: Mitigation of TSX disabled + tsx_async_abort: Not affected

Coder Radio XPS 13 ML Ubuntu BenchmarkProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen ResolutionXPS 13 Tiger Lake Ubuntu 20.04ThinkPad X1 Fedora Comet LakeIntel Core i5-1135G7 @ 4.20GHz (4 Cores / 8 Threads)Dell 0THX8P (1.1.1 BIOS)Intel Device a0ef16GBMicron 2300 NVMe 512GBIntel Xe 3GB (1300MHz)Realtek ALC289Intel Device a0f0Ubuntu 20.045.6.0-1036-oem (x86_64)GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.84.6 Mesa 20.0.81.2.131GCC 9.3.0ext41920x1200Intel Core i7-10510U @ 4.90GHz (4 Cores / 8 Threads)LENOVO 20U9CTO1WW (N2WET24W 1.14 BIOS)Intel Comet Lake PCH-LP2 x 8 GB LPDDR3-2133MT/s Samsung256GB Western Digital PC SN730 SDBQNTY-256G-1001Intel UHD 3GB (1150MHz)Realtek ALC285Intel + Intel Comet Lake PCH-LP CNVi WiFiFedora 335.9.16-200.fc33.x86_64 (x86_64)KDE Plasma 5.20.4X Server 1.20.10modesetting 1.20.104.6 Mesa 20.2.6GCC 10.2.1 20201125 + Clang 11.0.0btrfs2560x1440OpenBenchmarking.orgCompiler Details- XPS 13 Tiger Lake Ubuntu 20.04: --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 - ThinkPad X1 Fedora Comet Lake: --build=x86_64-redhat-linux --disable-libunwind-exceptions --enable-__cxa_atexit --enable-bootstrap --enable-cet --enable-checking=release --enable-gnu-indirect-function --enable-gnu-unique-object --enable-initfini-array --enable-languages=c,c++,fortran,objc,obj-c++,ada,go,d,lto --enable-multilib --enable-offload-targets=nvptx-none --enable-plugin --enable-shared --enable-threads=posix --mandir=/usr/share/man --with-arch_32=i686 --with-gcc-major-version-only --with-isl --with-linker-hash-style=gnu --with-tune=generic --without-cuda-driver Processor Details- XPS 13 Tiger Lake Ubuntu 20.04: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x60 - Thermald 1.9.1- ThinkPad X1 Fedora Comet Lake: Scaling Governor: intel_pstate powersavePython Details- XPS 13 Tiger Lake Ubuntu 20.04: Python 3.8.5- ThinkPad X1 Fedora Comet Lake: Python 3.9.1Security Details- XPS 13 Tiger Lake Ubuntu 20.04: itlb_multihit: Not affected + 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 - ThinkPad X1 Fedora Comet Lake: SELinux + itlb_multihit: KVM: Mitigation of VMX unsupported + 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: Mitigation of TSX disabled + tsx_async_abort: Not affected

XPS 13 Tiger Lake Ubuntu 20.04 vs. ThinkPad X1 Fedora Comet Lake ComparisonPhoronix Test SuiteBaseline+160.9%+160.9%+321.8%+321.8%+482.7%+482.7%4.3%2.3%D.B.s - u8s8f32 - CPU643.6%M.M.B.S.T - u8s8f32 - CPU456.7%IP Shapes 3D - f32 - CPU172.2%C.B.S.A - u8s8f32 - CPU166.4%D.B.s - u8s8f32 - CPU160.8%IP Shapes 1D - u8s8f32 - CPU141.9%C.B.S.A - f32 - CPU90.4%R.N.N.T - bf16bf16bf16 - CPU78.8%R.N.N.T - u8s8f32 - CPU78.3%R.N.N.T - f32 - CPU77.5%R.N.N.I - u8s8f32 - CPU76.8%R.N.N.I - bf16bf16bf16 - CPU76.4%No - Inference - VGG16 - CPU73%M.M.B.S.T - f32 - CPU71.1%resnet-v2-5061.5%SqueezeNetV1.060.3%CPU - vgg1658.7%mobilenet-v1-1.058.1%Vulkan GPU - vgg1655.7%MobileNetV2_22454.2%IP Shapes 1D - f32 - CPU53.4%IP Shapes 3D - u8s8f32 - CPU50.2%DNN - D.N.N48.9%CPU - shufflenet-v245.9%R.N.N.I - f32 - CPU43.2%inception-v342.6%D.B.s - f32 - CPU41.5%CPU - alexnet39.3%CPU-v2-v2 - mobilenet-v237.1%CPU - resnet1837%CPU-v3-v3 - mobilenet-v335.6%Vulkan GPU - alexnet33.9%CPU - blazeface33.3%Vulkan GPU - mobilenet32.2%CPU - resnet5031.7%NASNet Mobile31.2%Vulkan GPU - yolov4-tiny30.2%CPU - mobilenet29.5%Vulkan GPU - resnet5028.3%CPU - yolov4-tiny27.9%Mobilenet Quant27.7%Vulkan GPU - resnet1827.3%No - Inference - ResNet 50 - CPU27.2%CPU - googlenet25.5%Vulkan GPU-v2-v2 - mobilenet-v225%Vulkan GPU - shufflenet-v224.3%Mobilenet Float23.8%Vulkan GPU-v3-v3 - mobilenet-v323.6%SqueezeNet22.6%I.R.V22.2%CPU - efficientnet-b021.5%Inception V420.8%CPU - mnasnet20.5%D.B.s - f32 - CPU18.2%Vulkan GPU - googlenet17.4%Vulkan GPU - efficientnet-b016.1%Vulkan GPU - blazeface15.7%CPU - squeezenet_ssd15.1%Vulkan GPU - squeezenet_ssd13.1%Vulkan GPU - mnasnet7.9%CPU - regnety_400m5.8%Vulkan GPU - regnety_400moneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNPlaidMLoneDNNMobile Neural NetworkMobile Neural NetworkNCNNMobile Neural NetworkNCNNMobile Neural NetworkoneDNNoneDNNOpenCVNCNNoneDNNMobile Neural NetworkoneDNNNCNNNCNNNCNNNCNNNCNNNCNNNCNNNCNNTensorFlow LiteNCNNNCNNNCNNNCNNTensorFlow LiteNCNNPlaidMLNCNNNCNNNCNNTensorFlow LiteNCNNTensorFlow LiteTensorFlow LiteNCNNTensorFlow LiteNCNNoneDNNNCNNNCNNNCNNNCNNNCNNNCNNNCNNNCNNNumpy BenchmarkXPS 13 Tiger Lake Ubuntu 20.04ThinkPad X1 Fedora Comet Lake

Coder Radio XPS 13 ML Ubuntu Benchmarknumenta-nab: EXPoSEplaidml: No - Inference - VGG16 - CPUplaidml: No - Inference - ResNet 50 - CPUncnn: CPUv2-yolov3v2-yolov3 - mobilenetv2-yolov3ai-benchmark: Device AI Scoreai-benchmark: Device Training Scoreai-benchmark: Device Inference Scoreonednn: Recurrent Neural Network Inference - f32 - CPUmnn: inception-v3mnn: mobilenet-v1-1.0mnn: MobileNetV2_224mnn: resnet-v2-50mnn: SqueezeNetV1.0onednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUnumenta-nab: Earthgecko Skylinencnn: CPU - regnety_400mncnn: CPU - squeezenet_ssdncnn: CPU - yolov4-tinyncnn: CPU - resnet50ncnn: CPU - alexnetncnn: CPU - resnet18ncnn: CPU - vgg16ncnn: CPU - googlenetncnn: CPU - blazefacencnn: CPU - efficientnet-b0ncnn: CPU - mnasnetncnn: CPU - shufflenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU - mobilenetonednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUnumpy: mlpack: scikit_qdatensorflow-lite: SqueezeNettensorflow-lite: NASNet Mobiletensorflow-lite: Mobilenet Quanttensorflow-lite: Mobilenet Floattensorflow-lite: Inception V4tensorflow-lite: Inception ResNet V2ncnn: Vulkan GPUv2-yolov3v2-yolov3 - mobilenetv2-yolov3mlpack: scikit_icancnn: Vulkan GPU - regnety_400mncnn: Vulkan GPU - squeezenet_ssdncnn: Vulkan GPU - yolov4-tinyncnn: Vulkan GPU - resnet50ncnn: Vulkan GPU - alexnetncnn: Vulkan GPU - resnet18ncnn: Vulkan GPU - vgg16ncnn: Vulkan GPU - googlenetncnn: Vulkan GPU - blazefacencnn: Vulkan GPU - efficientnet-b0ncnn: Vulkan GPU - mnasnetncnn: Vulkan GPU - shufflenet-v2ncnn: Vulkan GPU-v3-v3 - mobilenet-v3ncnn: Vulkan GPU-v2-v2 - mobilenet-v2ncnn: Vulkan GPU - mobilenetnumenta-nab: Bayesian Changepointonednn: Deconvolution Batch shapes_1d - f32 - CPUnumenta-nab: Relative Entropymlpack: scikit_linearridgeregressiononednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - bf16bf16bf16 - CPUonednn: IP Shapes 1D - f32 - CPUonednn: Deconvolution Batch shapes_1d - bf16bf16bf16 - CPUonednn: IP Shapes 1D - u8s8f32 - CPUmlpack: scikit_svmonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUrnnoise: numenta-nab: Windowed Gaussianonednn: Convolution Batch Shapes Auto - f32 - CPUopencv: DNN - Deep Neural Networkscikit-learn: onednn: IP Shapes 1D - bf16bf16bf16 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - bf16bf16bf16 - CPUonednn: IP Shapes 3D - bf16bf16bf16 - CPUonednn: IP Shapes 3D - f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Deconvolution Batch shapes_3d - bf16bf16bf16 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUonednn: Deconvolution Batch shapes_3d - f32 - CPUXPS 13 Tiger Lake Ubuntu 20.04ThinkPad X1 Fedora Comet Lake1139.2416.473.2711866305565736.4368.5238.3206.23854.69111.2568859.058875.338862.65333.63921.1139.6144.6551.0119.0622.0768.5025.012.8512.538.109.996.717.7835.034528.114516.60293.18138.2462748745552541950642430992202308329360123.2321.0139.5344.6851.1319.2322.2569.1624.582.8011.838.1310.306.707.7135.1181.06214.632648.60913.502.9426211.807210.277357.05462.4305134.663.932982.1230731.94727.70211.5632535117.90025.82822.6298152.42846.399796.593507.9345052.68243.1368413.41253.742.5745.378215.0897.7113.159.6288.3518.0415837.4115828.6615729.9622.3445.6157.1067.2026.5530.23108.7131.393.8015.229.7614.589.1010.6745.378004.417969.03299.99769601597569535897525312111344671017793346.4120.1444.7158.1665.5925.7528.33107.7028.853.2413.748.7712.808.289.6446.4120.7121.8815.775.886.7311.8222.0279683.9517.9521.148.1815.85OpenBenchmarking.org

Numenta Anomaly Benchmark

Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial timeseries data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: EXPoSEXPS 13 Tiger Lake Ubuntu 20.042004006008001000SE +/- 2.32, N = 31139.24

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.

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG16 - Device: CPUXPS 13 Tiger Lake Ubuntu 20.04ThinkPad X1 Fedora Comet Lake246810SE +/- 0.02, N = 3SE +/- 0.04, N = 76.473.74

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: CPUXPS 13 Tiger Lake Ubuntu 20.04ThinkPad X1 Fedora Comet Lake0.73581.47162.20742.94323.679SE +/- 0.01, N = 3SE +/- 0.01, N = 33.272.57

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPUv2-yolov3v2-yolov3 - Model: mobilenetv2-yolov3ThinkPad X1 Fedora Comet Lake1020304050SE +/- 0.96, N = 1245.37MIN: 36.97 / MAX: 552.341. (CXX) g++ options: -O2 -rdynamic -lgomp -lpthread

AI Benchmark Alpha

AI Benchmark Alpha is a Python library for evaluating artificial intelligence (AI) performance on diverse hardware platforms and relies upon the TensorFlow machine learning library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device AI ScoreXPS 13 Tiger Lake Ubuntu 20.04300600900120015001186

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Training ScoreXPS 13 Tiger Lake Ubuntu 20.04140280420560700630

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Inference ScoreXPS 13 Tiger Lake Ubuntu 20.04120240360480600556

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.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUXPS 13 Tiger Lake Ubuntu 20.04ThinkPad X1 Fedora Comet Lake2K4K6K8K10KSE +/- 1216.13, N = 12SE +/- 175.62, N = 125736.438215.08MIN: 4504.31-O2 - MIN: 6630.851. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Mobile Neural Network

MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by ALibaba. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: inception-v3XPS 13 Tiger Lake Ubuntu 20.04ThinkPad X1 Fedora Comet Lake20406080100SE +/- 0.25, N = 11SE +/- 4.98, N = 368.5297.71MIN: 66.62 / MAX: 223.45MIN: 80.89 / MAX: 306.211. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: mobilenet-v1-1.0XPS 13 Tiger Lake Ubuntu 20.04ThinkPad X1 Fedora Comet Lake3691215SE +/- 0.171, N = 11SE +/- 1.044, N = 38.32013.150MIN: 6.48 / MAX: 30.71MIN: 10.33 / MAX: 65.741. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: MobileNetV2_224XPS 13 Tiger Lake Ubuntu 20.04ThinkPad X1 Fedora Comet Lake3691215SE +/- 0.012, N = 11SE +/- 1.171, N = 36.2389.620MIN: 6.15 / MAX: 28.03MIN: 5.03 / MAX: 90.691. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: resnet-v2-50XPS 13 Tiger Lake Ubuntu 20.04ThinkPad X1 Fedora Comet Lake20406080100SE +/- 0.17, N = 11SE +/- 1.68, N = 354.6988.35MIN: 53.32 / MAX: 132.87MIN: 67.94 / MAX: 196.351. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: SqueezeNetV1.0XPS 13 Tiger Lake Ubuntu 20.04ThinkPad X1 Fedora Comet Lake48121620SE +/- 0.24, N = 11SE +/- 0.10, N = 311.2618.04MIN: 8.69 / MAX: 35.37MIN: 16.55 / MAX: 73.331. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

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.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPUXPS 13 Tiger Lake Ubuntu 20.04ThinkPad X1 Fedora Comet Lake3K6K9K12K15KSE +/- 1.56, N = 3SE +/- 318.55, N = 128859.0515837.41MIN: 8815.8-O2 - MIN: 13562.81. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPUXPS 13 Tiger Lake Ubuntu 20.04ThinkPad X1 Fedora Comet Lake3K6K9K12K15KSE +/- 18.79, N = 3SE +/- 292.22, N = 128875.3315828.66MIN: 8833.23-O2 - MIN: 13821.51. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUXPS 13 Tiger Lake Ubuntu 20.04ThinkPad X1 Fedora Comet Lake3K6K9K12K15KSE +/- 5.47, N = 3SE +/- 284.25, N = 128862.6515729.96MIN: 8818.95-O2 - MIN: 13106.71. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Numenta Anomaly Benchmark

Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial timeseries data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Earthgecko SkylineXPS 13 Tiger Lake Ubuntu 20.0470140210280350SE +/- 0.78, N = 3333.64

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: regnety_400mXPS 13 Tiger Lake Ubuntu 20.04ThinkPad X1 Fedora Comet Lake510152025SE +/- 0.17, N = 3SE +/- 0.62, N = 1221.1122.34-O3 - MIN: 18.89 / MAX: 41.4-O2 - MIN: 18.96 / MAX: 70.81. (CXX) g++ options: -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: squeezenet_ssdXPS 13 Tiger Lake Ubuntu 20.04ThinkPad X1 Fedora Comet Lake1020304050SE +/- 0.23, N = 3SE +/- 1.00, N = 1239.6145.61-O3 - MIN: 39.09 / MAX: 57.3-O2 - MIN: 37.69 / MAX: 158.081. (CXX) g++ options: -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: yolov4-tinyXPS 13 Tiger Lake Ubuntu 20.04ThinkPad X1 Fedora Comet Lake1326395265SE +/- 0.55, N = 3SE +/- 1.17, N = 1244.6557.10-O3 - MIN: 43.73 / MAX: 74-O2 - MIN: 48.72 / MAX: 192.161. (CXX) g++ options: -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet50XPS 13 Tiger Lake Ubuntu 20.04ThinkPad X1 Fedora Comet Lake1530456075SE +/- 0.12, N = 3SE +/- 2.13, N = 1251.0167.20-O3 - MIN: 50.55 / MAX: 116.37-O2 - MIN: 48.46 / MAX: 167.351. (CXX) g++ options: -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: alexnetXPS 13 Tiger Lake Ubuntu 20.04ThinkPad X1 Fedora Comet Lake612182430SE +/- 0.02, N = 3SE +/- 0.44, N = 1219.0626.55-O3 - MIN: 18.7 / MAX: 27.76-O2 - MIN: 22.72 / MAX: 58.371. (CXX) g++ options: -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet18XPS 13 Tiger Lake Ubuntu 20.04ThinkPad X1 Fedora Comet Lake714212835SE +/- 0.02, N = 3SE +/- 0.80, N = 1222.0730.23-O3 - MIN: 21.29 / MAX: 25.98-O2 - MIN: 24.75 / MAX: 110.111. (CXX) g++ options: -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: vgg16XPS 13 Tiger Lake Ubuntu 20.04ThinkPad X1 Fedora Comet Lake20406080100SE +/- 0.25, N = 3SE +/- 1.36, N = 1268.50108.71-O3 - MIN: 67.14 / MAX: 86.96-O2 - MIN: 101.54 / MAX: 1158.671. (CXX) g++ options: -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: googlenetXPS 13 Tiger Lake Ubuntu 20.04ThinkPad X1 Fedora Comet Lake714212835SE +/- 0.11, N = 3SE +/- 0.89, N = 1225.0131.39-O3 - MIN: 23.82 / MAX: 51.99-O2 - MIN: 26.34 / MAX: 90.631. (CXX) g++ options: -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: blazefaceXPS 13 Tiger Lake Ubuntu 20.04ThinkPad X1 Fedora Comet Lake0.8551.712.5653.424.275SE +/- 0.02, N = 3SE +/- 0.11, N = 122.853.80-O3 - MIN: 2.56 / MAX: 3.12-O2 - MIN: 3.13 / MAX: 13.741. (CXX) g++ options: -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: efficientnet-b0XPS 13 Tiger Lake Ubuntu 20.04ThinkPad X1 Fedora Comet Lake48121620SE +/- 0.04, N = 3SE +/- 0.51, N = 1212.5315.22-O3 - MIN: 12.32 / MAX: 31.52-O2 - MIN: 10.96 / MAX: 26.841. (CXX) g++ options: -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mnasnetXPS 13 Tiger Lake Ubuntu 20.04ThinkPad X1 Fedora Comet Lake3691215SE +/- 0.50, N = 3SE +/- 0.39, N = 128.109.76-O3 - MIN: 7 / MAX: 12.21-O2 - MIN: 6.72 / MAX: 21.361. (CXX) g++ options: -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: shufflenet-v2XPS 13 Tiger Lake Ubuntu 20.04ThinkPad X1 Fedora Comet Lake48121620SE +/- 0.59, N = 3SE +/- 0.67, N = 129.9914.58-O3 - MIN: 8.78 / MAX: 13.35-O2 - MIN: 8.91 / MAX: 27.371. (CXX) g++ options: -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3 - Model: mobilenet-v3XPS 13 Tiger Lake Ubuntu 20.04ThinkPad X1 Fedora Comet Lake3691215SE +/- 0.02, N = 3SE +/- 0.34, N = 126.719.10-O3 - MIN: 6.52 / MAX: 10.19-O2 - MIN: 6.6 / MAX: 12.731. (CXX) g++ options: -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2 - Model: mobilenet-v2XPS 13 Tiger Lake Ubuntu 20.04ThinkPad X1 Fedora Comet Lake3691215SE +/- 0.05, N = 3SE +/- 0.58, N = 127.7810.67-O3 - MIN: 7.55 / MAX: 25.73-O2 - MIN: 7.99 / MAX: 44.881. (CXX) g++ options: -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mobilenetXPS 13 Tiger Lake Ubuntu 20.04ThinkPad X1 Fedora Comet Lake1020304050SE +/- 0.56, N = 3SE +/- 0.96, N = 1235.0345.37-O3 - MIN: 34.13 / MAX: 54.59-O2 - MIN: 36.97 / MAX: 552.341. (CXX) g++ options: -rdynamic -lgomp -lpthread

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.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPUXPS 13 Tiger Lake Ubuntu 20.04ThinkPad X1 Fedora Comet Lake2K4K6K8K10KSE +/- 10.91, N = 3SE +/- 200.39, N = 154528.118004.41MIN: 4494.22-O2 - MIN: 6681.81. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPUXPS 13 Tiger Lake Ubuntu 20.04ThinkPad X1 Fedora Comet Lake2K4K6K8K10KSE +/- 5.17, N = 3SE +/- 202.13, N = 154516.607969.03MIN: 4500.62-O2 - MIN: 6667.751. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Numpy Benchmark

This is a test to obtain the general Numpy performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkThinkPad X1 Fedora Comet LakeXPS 13 Tiger Lake Ubuntu 20.0470140210280350SE +/- 3.17, N = 3SE +/- 0.46, N = 3299.99293.18

Mlpack Benchmark

Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qdaXPS 13 Tiger Lake Ubuntu 20.04306090120150SE +/- 0.10, N = 3138.24

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetXPS 13 Tiger Lake Ubuntu 20.04ThinkPad X1 Fedora Comet Lake160K320K480K640K800KSE +/- 7916.64, N = 5SE +/- 15694.37, N = 15627487769601

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileXPS 13 Tiger Lake Ubuntu 20.04ThinkPad X1 Fedora Comet Lake130K260K390K520K650KSE +/- 4542.22, N = 3SE +/- 10287.96, N = 15455525597569

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantXPS 13 Tiger Lake Ubuntu 20.04ThinkPad X1 Fedora Comet Lake110K220K330K440K550KSE +/- 4741.44, N = 3SE +/- 10547.34, N = 15419506535897

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatXPS 13 Tiger Lake Ubuntu 20.04ThinkPad X1 Fedora Comet Lake110K220K330K440K550KSE +/- 2876.33, N = 3SE +/- 10164.17, N = 15424309525312

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4XPS 13 Tiger Lake Ubuntu 20.04ThinkPad X1 Fedora Comet Lake2M4M6M8M10MSE +/- 32590.84, N = 3SE +/- 16976.19, N = 3922023011134467

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2XPS 13 Tiger Lake Ubuntu 20.04ThinkPad X1 Fedora Comet Lake2M4M6M8M10MSE +/- 33855.35, N = 3SE +/- 63902.46, N = 3832936010177933

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPUv2-yolov3v2-yolov3 - Model: mobilenetv2-yolov3ThinkPad X1 Fedora Comet Lake1122334455SE +/- 0.13, N = 346.41MIN: 44.19 / MAX: 58.771. (CXX) g++ options: -O2 -rdynamic -lgomp -lpthread

Mlpack Benchmark

Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_icaXPS 13 Tiger Lake Ubuntu 20.04306090120150SE +/- 1.89, N = 3123.23

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: regnety_400mThinkPad X1 Fedora Comet LakeXPS 13 Tiger Lake Ubuntu 20.04510152025SE +/- 2.18, N = 3SE +/- 0.90, N = 320.1421.01-O2 - MIN: 15.81 / MAX: 33.22-O3 - MIN: 18.85 / MAX: 41.971. (CXX) g++ options: -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: squeezenet_ssdXPS 13 Tiger Lake Ubuntu 20.04ThinkPad X1 Fedora Comet Lake1020304050SE +/- 0.23, N = 3SE +/- 2.49, N = 339.5344.71-O3 - MIN: 39 / MAX: 49.44-O2 - MIN: 38.9 / MAX: 62.291. (CXX) g++ options: -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: yolov4-tinyXPS 13 Tiger Lake Ubuntu 20.04ThinkPad X1 Fedora Comet Lake1326395265SE +/- 0.57, N = 3SE +/- 1.59, N = 344.6858.16-O3 - MIN: 43.68 / MAX: 64.97-O2 - MIN: 48.75 / MAX: 86.051. (CXX) g++ options: -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: resnet50XPS 13 Tiger Lake Ubuntu 20.04ThinkPad X1 Fedora Comet Lake1530456075SE +/- 0.13, N = 3SE +/- 5.84, N = 351.1365.59-O3 - MIN: 50.6 / MAX: 85.33-O2 - MIN: 48.53 / MAX: 137.661. (CXX) g++ options: -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: alexnetXPS 13 Tiger Lake Ubuntu 20.04ThinkPad X1 Fedora Comet Lake612182430SE +/- 0.20, N = 3SE +/- 0.92, N = 319.2325.75-O3 - MIN: 18.73 / MAX: 22.46-O2 - MIN: 23.88 / MAX: 46.021. (CXX) g++ options: -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: resnet18XPS 13 Tiger Lake Ubuntu 20.04ThinkPad X1 Fedora Comet Lake714212835SE +/- 0.17, N = 3SE +/- 1.78, N = 322.2528.33-O3 - MIN: 21.22 / MAX: 66.35-O2 - MIN: 24.76 / MAX: 38.341. (CXX) g++ options: -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: vgg16XPS 13 Tiger Lake Ubuntu 20.04ThinkPad X1 Fedora Comet Lake20406080100SE +/- 0.54, N = 3SE +/- 1.75, N = 369.16107.70-O3 - MIN: 67.22 / MAX: 89.29-O2 - MIN: 103.24 / MAX: 139.51. (CXX) g++ options: -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: googlenetXPS 13 Tiger Lake Ubuntu 20.04ThinkPad X1 Fedora Comet Lake714212835SE +/- 0.60, N = 3SE +/- 2.51, N = 324.5828.85-O3 - MIN: 20.79 / MAX: 125.42-O2 - MIN: 22.37 / MAX: 44.421. (CXX) g++ options: -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: blazefaceXPS 13 Tiger Lake Ubuntu 20.04ThinkPad X1 Fedora Comet Lake0.7291.4582.1872.9163.645SE +/- 0.06, N = 3SE +/- 0.52, N = 32.803.24-O3 - MIN: 2.58 / MAX: 5.23-O2 - MIN: 2.22 / MAX: 5.151. (CXX) g++ options: -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: efficientnet-b0XPS 13 Tiger Lake Ubuntu 20.04ThinkPad X1 Fedora Comet Lake48121620SE +/- 0.66, N = 3SE +/- 1.57, N = 311.8313.74-O3 - MIN: 10.35 / MAX: 14.92-O2 - MIN: 10.93 / MAX: 18.121. (CXX) g++ options: -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: mnasnetXPS 13 Tiger Lake Ubuntu 20.04ThinkPad X1 Fedora Comet Lake246810SE +/- 0.54, N = 3SE +/- 1.15, N = 38.138.77-O3 - MIN: 6.99 / MAX: 27.68-O2 - MIN: 6.73 / MAX: 11.941. (CXX) g++ options: -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: shufflenet-v2XPS 13 Tiger Lake Ubuntu 20.04ThinkPad X1 Fedora Comet Lake3691215SE +/- 0.67, N = 3SE +/- 2.09, N = 310.3012.80-O3 - MIN: 8.76 / MAX: 26.22-O2 - MIN: 8.9 / MAX: 18.091. (CXX) g++ options: -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3XPS 13 Tiger Lake Ubuntu 20.04ThinkPad X1 Fedora Comet Lake246810SE +/- 0.01, N = 3SE +/- 0.97, N = 36.708.28-O3 - MIN: 6.52 / MAX: 9.63-O2 - MIN: 6.56 / MAX: 11.291. (CXX) g++ options: -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2XPS 13 Tiger Lake Ubuntu 20.04ThinkPad X1 Fedora Comet Lake3691215SE +/- 0.03, N = 3SE +/- 1.35, N = 37.719.64-O3 - MIN: 7.52 / MAX: 10.75-O2 - MIN: 7.97 / MAX: 19.41. (CXX) g++ options: -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: mobilenetXPS 13 Tiger Lake Ubuntu 20.04ThinkPad X1 Fedora Comet Lake1122334455SE +/- 0.48, N = 3SE +/- 0.13, N = 335.1146.41-O3 - MIN: 34.07 / MAX: 62.97-O2 - MIN: 44.19 / MAX: 58.771. (CXX) g++ options: -rdynamic -lgomp -lpthread

Numenta Anomaly Benchmark

Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial timeseries data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Bayesian ChangepointXPS 13 Tiger Lake Ubuntu 20.0420406080100SE +/- 1.06, N = 481.06

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.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPUXPS 13 Tiger Lake Ubuntu 20.04ThinkPad X1 Fedora Comet Lake510152025SE +/- 0.12, N = 13SE +/- 0.74, N = 1514.6320.71MIN: 13.05-O2 - MIN: 15.711. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Numenta Anomaly Benchmark

Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial timeseries data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Relative EntropyXPS 13 Tiger Lake Ubuntu 20.041122334455SE +/- 0.59, N = 648.61

Mlpack Benchmark

Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregressionXPS 13 Tiger Lake Ubuntu 20.043691215SE +/- 0.02, N = 313.50

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.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPUXPS 13 Tiger Lake Ubuntu 20.04ThinkPad X1 Fedora Comet Lake510152025SE +/- 0.02862, N = 12SE +/- 0.09223, N = 32.9426221.88000-O2 - MIN: 19.111. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPUXPS 13 Tiger Lake Ubuntu 20.043691215SE +/- 0.12, N = 1211.81MIN: 10.581. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: f32 - Engine: CPUXPS 13 Tiger Lake Ubuntu 20.04ThinkPad X1 Fedora Comet Lake48121620SE +/- 0.06, N = 3SE +/- 0.62, N = 1510.2815.77MIN: 9.23-O2 - MIN: 9.111. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPUXPS 13 Tiger Lake Ubuntu 20.041326395265SE +/- 0.64, N = 657.05MIN: 54.121. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPUXPS 13 Tiger Lake Ubuntu 20.04ThinkPad X1 Fedora Comet Lake1.3232.6463.9695.2926.615SE +/- 0.02334, N = 14SE +/- 0.02743, N = 32.430515.88000MIN: 1.9-O2 - MIN: 5.151. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Mlpack Benchmark

Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmXPS 13 Tiger Lake Ubuntu 20.04816243240SE +/- 0.04, N = 334.66

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.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPUXPS 13 Tiger Lake Ubuntu 20.04ThinkPad X1 Fedora Comet Lake246810SE +/- 0.01624, N = 3SE +/- 0.16653, N = 153.932986.73000MIN: 3.57-O2 - MIN: 5.421. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPUXPS 13 Tiger Lake Ubuntu 20.04ThinkPad X1 Fedora Comet Lake3691215SE +/- 0.00736, N = 3SE +/- 0.36808, N = 152.1230711.82000-O2 - MIN: 9.181. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

RNNoise

RNNoise is a recurrent neural network for audio noise reduction developed by Mozilla and Xiph.Org. This test profile is a single-threaded test measuring the time to denoise a sample 26 minute long 16-bit RAW audio file using this recurrent neural network noise suppression library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28XPS 13 Tiger Lake Ubuntu 20.04714212835SE +/- 0.01, N = 331.951. (CC) gcc options: -O2 -pedantic -fvisibility=hidden

Numenta Anomaly Benchmark

Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial timeseries data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Windowed GaussianXPS 13 Tiger Lake Ubuntu 20.04714212835SE +/- 0.41, N = 327.70

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.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUXPS 13 Tiger Lake Ubuntu 20.04ThinkPad X1 Fedora Comet Lake510152025SE +/- 0.13, N = 15SE +/- 0.02, N = 311.5622.02MIN: 10.07-O2 - MIN: 21.811. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenCV

This is a benchmark of the OpenCV (Computer Vision) library's built-in performance tests. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.4Test: DNN - Deep Neural NetworkXPS 13 Tiger Lake Ubuntu 20.04ThinkPad X1 Fedora Comet Lake2K4K6K8K10KSE +/- 87.51, N = 3SE +/- 973.85, N = 1253517968-O3-O21. (CXX) g++ options: -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -ldl -lm -lpthread -lrt

Scikit-Learn

Scikit-learn is a Python module for machine learning Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 0.22.1XPS 13 Tiger Lake Ubuntu 20.0448121620SE +/- 0.15, N = 317.90

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.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPUXPS 13 Tiger Lake Ubuntu 20.04612182430SE +/- 0.10, N = 325.83MIN: 25.211. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPUXPS 13 Tiger Lake Ubuntu 20.04ThinkPad X1 Fedora Comet Lake0.88881.77762.66643.55524.444SE +/- 0.00152, N = 3SE +/- 0.05749, N = 32.629813.95000MIN: 2.56-O2 - MIN: 3.461. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPUXPS 13 Tiger Lake Ubuntu 20.041224364860SE +/- 0.02, N = 352.43MIN: 52.311. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPUXPS 13 Tiger Lake Ubuntu 20.04246810SE +/- 0.06267, N = 36.39979MIN: 5.731. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: f32 - Engine: CPUXPS 13 Tiger Lake Ubuntu 20.04ThinkPad X1 Fedora Comet Lake48121620SE +/- 0.01444, N = 3SE +/- 0.01158, N = 36.5935017.95000MIN: 6.09-O2 - MIN: 13.821. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPUXPS 13 Tiger Lake Ubuntu 20.04ThinkPad X1 Fedora Comet Lake510152025SE +/- 0.02049, N = 3SE +/- 0.16335, N = 37.9345021.14000MIN: 7.85-O2 - MIN: 20.411. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPUXPS 13 Tiger Lake Ubuntu 20.041224364860SE +/- 0.07, N = 352.68MIN: 52.491. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPUXPS 13 Tiger Lake Ubuntu 20.04ThinkPad X1 Fedora Comet Lake246810SE +/- 0.00316, N = 3SE +/- 0.08942, N = 33.136848.18000MIN: 3.11-O2 - MIN: 7.761. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPUXPS 13 Tiger Lake Ubuntu 20.04ThinkPad X1 Fedora Comet Lake48121620SE +/- 0.05, N = 3SE +/- 0.27, N = 313.4115.85MIN: 13.24-O2 - MIN: 14.871. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

85 Results Shown

Numenta Anomaly Benchmark
PlaidML:
  No - Inference - VGG16 - CPU
  No - Inference - ResNet 50 - CPU
NCNN
AI Benchmark Alpha:
  Device AI Score
  Device Training Score
  Device Inference Score
oneDNN
Mobile Neural Network:
  inception-v3
  mobilenet-v1-1.0
  MobileNetV2_224
  resnet-v2-50
  SqueezeNetV1.0
oneDNN:
  Recurrent Neural Network Training - bf16bf16bf16 - CPU
  Recurrent Neural Network Training - u8s8f32 - CPU
  Recurrent Neural Network Training - f32 - CPU
Numenta Anomaly Benchmark
NCNN:
  CPU - regnety_400m
  CPU - squeezenet_ssd
  CPU - yolov4-tiny
  CPU - resnet50
  CPU - alexnet
  CPU - resnet18
  CPU - vgg16
  CPU - googlenet
  CPU - blazeface
  CPU - efficientnet-b0
  CPU - mnasnet
  CPU - shufflenet-v2
  CPU-v3-v3 - mobilenet-v3
  CPU-v2-v2 - mobilenet-v2
  CPU - mobilenet
oneDNN:
  Recurrent Neural Network Inference - u8s8f32 - CPU
  Recurrent Neural Network Inference - bf16bf16bf16 - CPU
Numpy Benchmark
Mlpack Benchmark
TensorFlow Lite:
  SqueezeNet
  NASNet Mobile
  Mobilenet Quant
  Mobilenet Float
  Inception V4
  Inception ResNet V2
NCNN
Mlpack Benchmark
NCNN:
  Vulkan GPU - regnety_400m
  Vulkan GPU - squeezenet_ssd
  Vulkan GPU - yolov4-tiny
  Vulkan GPU - resnet50
  Vulkan GPU - alexnet
  Vulkan GPU - resnet18
  Vulkan GPU - vgg16
  Vulkan GPU - googlenet
  Vulkan GPU - blazeface
  Vulkan GPU - efficientnet-b0
  Vulkan GPU - mnasnet
  Vulkan GPU - shufflenet-v2
  Vulkan GPU-v3-v3 - mobilenet-v3
  Vulkan GPU-v2-v2 - mobilenet-v2
  Vulkan GPU - mobilenet
Numenta Anomaly Benchmark
oneDNN
Numenta Anomaly Benchmark
Mlpack Benchmark
oneDNN:
  Deconvolution Batch shapes_1d - u8s8f32 - CPU
  Matrix Multiply Batch Shapes Transformer - bf16bf16bf16 - CPU
  IP Shapes 1D - f32 - CPU
  Deconvolution Batch shapes_1d - bf16bf16bf16 - CPU
  IP Shapes 1D - u8s8f32 - CPU
Mlpack Benchmark
oneDNN:
  Matrix Multiply Batch Shapes Transformer - f32 - CPU
  Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPU
RNNoise
Numenta Anomaly Benchmark
oneDNN
OpenCV
Scikit-Learn
oneDNN:
  IP Shapes 1D - bf16bf16bf16 - CPU
  IP Shapes 3D - u8s8f32 - CPU
  Convolution Batch Shapes Auto - bf16bf16bf16 - CPU
  IP Shapes 3D - bf16bf16bf16 - CPU
  IP Shapes 3D - f32 - CPU
  Convolution Batch Shapes Auto - u8s8f32 - CPU
  Deconvolution Batch shapes_3d - bf16bf16bf16 - CPU
  Deconvolution Batch shapes_3d - u8s8f32 - CPU
  Deconvolution Batch shapes_3d - f32 - CPU

XPS 13 Tiger Lake Ubuntu 20.04

Processor: Intel Core i5-1135G7 @ 4.20GHz (4 Cores / 8 Threads), Motherboard: Dell 0THX8P (1.1.1 BIOS), Chipset: Intel Device a0ef, Memory: 16GB, Disk: Micron 2300 NVMe 512GB, Graphics: Intel Xe 3GB (1300MHz), Audio: Realtek ALC289, Network: Intel Device a0f0

OS: Ubuntu 20.04, Kernel: 5.6.0-1036-oem (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.8, Vulkan: 1.2.131, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1200

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 -v
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x60 - Thermald 1.9.1
Python Notes: Python 3.8.5
Security Notes: itlb_multihit: Not affected + 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

Testing initiated at 31 December 2020 13:39 by user studio.

ThinkPad X1 Fedora Comet Lake

Processor: Intel Core i7-10510U @ 4.90GHz (4 Cores / 8 Threads), Motherboard: LENOVO 20U9CTO1WW (N2WET24W 1.14 BIOS), Chipset: Intel Comet Lake PCH-LP, Memory: 2 x 8 GB LPDDR3-2133MT/s Samsung, Disk: 256GB Western Digital PC SN730 SDBQNTY-256G-1001, Graphics: Intel UHD 3GB (1150MHz), Audio: Realtek ALC285, Network: Intel + Intel Comet Lake PCH-LP CNVi WiFi

OS: Fedora 33, Kernel: 5.9.16-200.fc33.x86_64 (x86_64), Desktop: KDE Plasma 5.20.4, Display Server: X Server 1.20.10, Display Driver: modesetting 1.20.10, OpenGL: 4.6 Mesa 20.2.6, Compiler: GCC 10.2.1 20201125 + Clang 11.0.0, File-System: btrfs, Screen Resolution: 2560x1440

Compiler Notes: --build=x86_64-redhat-linux --disable-libunwind-exceptions --enable-__cxa_atexit --enable-bootstrap --enable-cet --enable-checking=release --enable-gnu-indirect-function --enable-gnu-unique-object --enable-initfini-array --enable-languages=c,c++,fortran,objc,obj-c++,ada,go,d,lto --enable-multilib --enable-offload-targets=nvptx-none --enable-plugin --enable-shared --enable-threads=posix --mandir=/usr/share/man --with-arch_32=i686 --with-gcc-major-version-only --with-isl --with-linker-hash-style=gnu --with-tune=generic --without-cuda-driver
Processor Notes: Scaling Governor: intel_pstate powersave
Python Notes: Python 3.9.1
Security Notes: SELinux + itlb_multihit: KVM: Mitigation of VMX unsupported + 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: Mitigation of TSX disabled + tsx_async_abort: Not affected

Testing initiated at 1 January 2021 10:14 by user root.