dddxxx

Intel Core i7-8565U testing with a Dell 0KTW76 (1.17.0 BIOS) and Intel UHD 620 WHL GT2 15GB on Ubuntu 22.04 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 2308067-NE-DDDXXX42317
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
Allow Limiting Results To Certain Suite(s)

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
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

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Toggle/Hide
Result
Result
Identifier
View Logs
Performance Per
Dollar
Date
Run
  Test
  Duration
a
August 05 2023
  15 Hours, 4 Minutes
b
August 06 2023
  15 Hours, 10 Minutes
Invert Behavior (Only Show Selected Data)
  15 Hours, 7 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):

a

Processor: Intel Core i7-8565U @ 4.60GHz (4 Cores / 8 Threads), Motherboard: Dell 0KTW76 (1.17.0 BIOS), Chipset: Intel Cannon Point-LP, Memory: 16GB, Disk: SK hynix PC401 NVMe 256GB, Graphics: Intel UHD 620 WHL GT2 15GB (1150MHz), Audio: Realtek ALC3271, Network: Qualcomm Atheros QCA6174 802.11ac

OS: Ubuntu 22.04, Kernel: 5.19.0-rc6-phx-retbleed (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.0.1, OpenCL: OpenCL 3.0, Vulkan: 1.3.204, Compiler: GCC 11.3.0, File-System: ext4, Screen Resolution: 1920x1080

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-xKiWfi/gcc-11-11.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-xKiWfi/gcc-11-11.3.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --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
Disk Notes: NONE / errors=remount-ro,relatime,rw / Block Size: 4096
Processor Notes: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0xf0 - Thermald 2.4.9
Java Notes: OpenJDK Runtime Environment (build 11.0.18+10-post-Ubuntu-0ubuntu122.04)
Python Notes: Python 3.10.6
Security Notes: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Not affected + mmio_stale_data: Mitigation of Clear buffers; SMT vulnerable + retbleed: Mitigation of IBRS + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of IBRS IBPB: conditional RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Not affected

b

OS: Ubuntu 22.04, Kernel: 5.19.0-rc6-phx-retbleed (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.0.1, OpenCL: OpenCL 3.0, Vulkan: 1.3.204, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 1920x1080

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-XeT9lY/gcc-11-11.4.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-XeT9lY/gcc-11-11.4.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --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
Disk Notes: NONE / errors=remount-ro,relatime,rw / Block Size: 4096
Processor Notes: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0xf0 - Thermald 2.4.9
Java Notes: OpenJDK Runtime Environment (build 11.0.20+8-post-Ubuntu-1ubuntu122.04)
Python Notes: Python 3.10.12
Security Notes: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Not affected + mmio_stale_data: Mitigation of Clear buffers; SMT vulnerable + retbleed: Mitigation of IBRS + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of IBRS IBPB: conditional RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Not affected

dddxxxOpenBenchmarking.orgPhoronix Test SuiteIntel Core i7-8565U @ 4.60GHz (4 Cores / 8 Threads)Dell 0KTW76 (1.17.0 BIOS)Intel Cannon Point-LP16GBSK hynix PC401 NVMe 256GBIntel UHD 620 WHL GT2 15GB (1150MHz)Realtek ALC3271Qualcomm Atheros QCA6174 802.11acUbuntu 22.045.19.0-rc6-phx-retbleed (x86_64)GNOME Shell 42.2X Server + Wayland4.6 Mesa 22.0.1OpenCL 3.01.3.204GCC 11.3.0GCC 11.4.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerOpenGLOpenCLVulkanCompilersFile-SystemScreen ResolutionDddxxx BenchmarksSystem Logs- Transparent Huge Pages: madvise- a: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-xKiWfi/gcc-11-11.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-xKiWfi/gcc-11-11.3.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --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 - b: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-XeT9lY/gcc-11-11.4.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-XeT9lY/gcc-11-11.4.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --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 (EPP: balance_performance) - CPU Microcode: 0xf0 - Thermald 2.4.9 - a: OpenJDK Runtime Environment (build 11.0.18+10-post-Ubuntu-0ubuntu122.04) - b: OpenJDK Runtime Environment (build 11.0.20+8-post-Ubuntu-1ubuntu122.04) - a: Python 3.10.6- b: Python 3.10.12- itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Not affected + mmio_stale_data: Mitigation of Clear buffers; SMT vulnerable + retbleed: Mitigation of IBRS + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of IBRS IBPB: conditional RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Not affected

a vs. b ComparisonPhoronix Test SuiteBaseline+48%+48%+96%+96%+144%+144%+192%+192%61.2%61.1%42.1%40.2%37.1%36.4%34.9%34.6%34.5%33.9%31.1%28.4%27.1%24.3%24.1%23.8%23%21.9%21.7%20.7%19.3%19%18.4%18.4%18.2%17.8%17.6%17.6%17.1%15.5%15%14.1%13.8%13.1%12.1%12%12%11.3%9.1%8.8%8.4%8.1%7.8%7.6%7.3%7.2%6.9%6.5%5.1%5.1%4.9%4.8%4.7%4.3%4.3%4.2%4%3.9%3.7%3.5%3.4%3.3%3.2%3.2%2.8%2.6%2.3%2.3%2%1192.1%B.L.N.Q.A.S.I - A.M.SB.L.N.Q.A.S.I - A.M.SCPU - shufflenet-v2Redis - 500 - 1:5237.7%437.5%Redis - 500 - 1:10MMAPRedis - 100 - 1:5Redis - 50 - 1:5CPU - mnasnetRedis - 100 - 1:10MEMFD31.3%Redis - 50 - 1:10FutexForkingB.L.N.Q.A - A.M.SCPU CacheCryptoZlibPreset 12 - Bosphorus 4K22.5%HashB.L.N.Q.A - A.M.SPthreadCPU-v3-v3 - mobilenet-v3SENDFILEN.T.C.B.b.u.S - A.M.SN.T.C.D.m - A.M.SN.T.C.B.b.u.S - A.M.SN.T.C.D.m - A.M.SAVL TreeN.T.C.B.b.u.c - A.M.SN.T.C.B.b.u.c - A.M.SMallocPreset 8 - Bosphorus 1080p15.2%Preset 4 - Bosphorus 4K15.2%Mutexgravity_spheres_volume/dim_512/scivis/real_timeS.N.1200 - 100 - 50013.3%100 - 100 - 500100 - 100 - 50012.2%NUMAPreset 4 - Bosphorus 1080pPollAtomicPreset 13 - Bosphorus 4K9.9%200 - 100 - 500particle_volume/ao/real_time9.1%Fused Multiply-Add8.8%CPU-v2-v2 - mobilenet-v2C.S.9.P.Y.P - A.M.SV.F.PPipeCPU StressIO_uringG.Q.D.S500 - 100 - 2007.1%500 - 1 - 5007%500 - 100 - 5006.9%CloningCPU - mobilenet6.7%4 - 256 - 576.6%C.S.9.P.Y.P - A.M.SVulkan GPU - regnety_400m6%8 - 256 - 575.7%G.C.S.F5.3%S.V.M.P5.3%C.D.Y.C.S.I - A.M.SFunction Callparticle_volume/pathtracer/real_time5%CPU - resnet50gravity_spheres_volume/dim_512/pathtracer/real_time4.8%128CPU - squeezenet_ssdPathtracer ISPC - Asian Dragon Obj4.4%500 - 100 - 5008 - 256 - 32x86_64 RdRand4.3%500 - 1 - 2004.2%500 - 1 - 500Context Switching200 - 1 - 2004%500 - 100 - 200CPU - efficientnet-b0Vulkan GPU - FastestDet100 - 100 - 200Matrix 3D Math100 - 100 - 2003.3%C.D.Y.C.S.I - A.M.SVulkan GPU - squeezenet_ssd1:103.1%R.5.B - A.M.S3.1%Bosphorus 1080p - Fast3%CPU - FastestDet3%Vulkan GPU - mobilenetR.5.B - A.M.S2.7%200 - 1 - 5002.7%Floating PointTime To Compile2.5%CPU - yolov4-tiny2.4%C.C.R.5.I - A.M.S2.4%C.C.R.5.I - A.M.S2.3%Chimera 1080p8 - 256 - 512CPU - blazeface2.2%particle_volume/scivis/real_time2.2%1:1002.1%Vulkan GPU - blazeface2.1%Preset 12 - Bosphorus 1080pPathtracer - Crown2%SQLiteNeural Magic DeepSparseNeural Magic DeepSparseNCNNRedis 7.0.12 + memtier_benchmarkSQLiteSQLiteRedis 7.0.12 + memtier_benchmarkStress-NGRedis 7.0.12 + memtier_benchmarkRedis 7.0.12 + memtier_benchmarkNCNNRedis 7.0.12 + memtier_benchmarkStress-NGRedis 7.0.12 + memtier_benchmarkStress-NGStress-NGNeural Magic DeepSparseStress-NGStress-NGStress-NGSVT-AV1Stress-NGNeural Magic DeepSparseStress-NGNCNNStress-NGNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseStress-NGNeural Magic DeepSparseNeural Magic DeepSparseStress-NGSVT-AV1SVT-AV1Stress-NGOSPRaydav1dApache IoTDBApache IoTDBApache IoTDBStress-NGSVT-AV1Stress-NGStress-NGSVT-AV1Apache IoTDBOSPRayStress-NGNCNNNeural Magic DeepSparseStress-NGStress-NGStress-NGStress-NGStress-NGApache IoTDBApache IoTDBApache IoTDBStress-NGNCNNLiquid-DSPNeural Magic DeepSparseNCNNLiquid-DSPStress-NGStress-NGNeural Magic DeepSparseStress-NGOSPRayNCNNOSPRaylibxsmmNCNNEmbreeApache IoTDBLiquid-DSPStress-NGApache IoTDBApache IoTDBStress-NGApache IoTDBApache IoTDBNCNNNCNNApache IoTDBStress-NGApache IoTDBNeural Magic DeepSparseNCNNMemcachedNeural Magic DeepSparseVVenCNCNNNCNNNeural Magic DeepSparseApache IoTDBStress-NGBuild2NCNNNeural Magic DeepSparseNeural Magic DeepSparsedav1dLiquid-DSPNCNNOSPRayMemcachedNCNNSVT-AV1Embreeab

dddxxxapache-iotdb: 100 - 1 - 200apache-iotdb: 100 - 1 - 500apache-iotdb: 200 - 1 - 200apache-iotdb: 200 - 1 - 500apache-iotdb: 500 - 1 - 200apache-iotdb: 500 - 1 - 500apache-iotdb: 100 - 100 - 200apache-iotdb: 100 - 100 - 500apache-iotdb: 200 - 100 - 200apache-iotdb: 200 - 100 - 500apache-iotdb: 500 - 100 - 200apache-iotdb: 500 - 100 - 500stress-ng: Hashstress-ng: MMAPstress-ng: NUMAstress-ng: Pipestress-ng: Pollstress-ng: Zlibstress-ng: Futexstress-ng: MEMFDstress-ng: Mutexstress-ng: Atomicstress-ng: Cryptostress-ng: Mallocstress-ng: Cloningstress-ng: Forkingstress-ng: Pthreadstress-ng: AVL Treestress-ng: IO_uringstress-ng: SENDFILEstress-ng: CPU Cachestress-ng: CPU Stressstress-ng: Semaphoresstress-ng: Matrix Mathstress-ng: Vector Mathstress-ng: Function Callstress-ng: x86_64 RdRandstress-ng: Floating Pointstress-ng: Matrix 3D Mathstress-ng: Memory Copyingstress-ng: Vector Shufflestress-ng: Socket Activitystress-ng: Wide Vector Mathstress-ng: Context Switchingstress-ng: Fused Multiply-Addstress-ng: Vector Floating Pointstress-ng: Glibc C String Functionsstress-ng: Glibc Qsort Data Sortingstress-ng: System V Message Passingdav1d: Chimera 1080pdav1d: Summer Nature 4Kdav1d: Summer Nature 1080pdav1d: Chimera 1080p 10-bitxonotic: 1920 x 1080 - Lowxonotic: 1920 x 1080 - Highxonotic: 1920 x 1080 - Ultraxonotic: 1920 x 1080 - Ultimateembree: Pathtracer - Crownembree: Pathtracer ISPC - Crownembree: Pathtracer - Asian Dragonembree: Pathtracer - Asian Dragon Objembree: Pathtracer ISPC - Asian Dragonembree: Pathtracer ISPC - Asian Dragon Objsvt-av1: Preset 4 - Bosphorus 4Ksvt-av1: Preset 8 - Bosphorus 4Ksvt-av1: Preset 12 - Bosphorus 4Ksvt-av1: Preset 13 - Bosphorus 4Ksvt-av1: Preset 4 - Bosphorus 1080psvt-av1: Preset 8 - Bosphorus 1080psvt-av1: Preset 12 - Bosphorus 1080psvt-av1: Preset 13 - Bosphorus 1080pvvenc: Bosphorus 4K - Fastvvenc: Bosphorus 4K - Fastervvenc: Bosphorus 1080p - Fastvvenc: Bosphorus 1080p - Fastervkpeak: fp32-scalarlibxsmm: 128libxsmm: 32libxsmm: 64oidn: RT.hdr_alb_nrm.3840x2160 - CPU-Onlyoidn: RT.ldr_alb_nrm.3840x2160 - CPU-Onlyoidn: RTLightmap.hdr.4096x4096 - CPU-Onlyospray: particle_volume/ao/real_timeospray: particle_volume/scivis/real_timeospray: particle_volume/pathtracer/real_timeospray: gravity_spheres_volume/dim_512/ao/real_timeospray: gravity_spheres_volume/dim_512/scivis/real_timeospray: gravity_spheres_volume/dim_512/pathtracer/real_timedeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Asynchronous Multi-Streamdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Streamdeepsparse: ResNet-50, Baseline - Asynchronous Multi-Streamdeepsparse: ResNet-50, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Streamdeepsparse: BERT-Large, NLP Question Answering - Asynchronous Multi-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamdeepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Streamdeepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamquantlib: cassandra: Writesmemcached: 1:5memcached: 1:10memcached: 1:100memtier-benchmark: Redis - 50 - 1:5memtier-benchmark: Redis - 100 - 1:5memtier-benchmark: Redis - 50 - 1:10memtier-benchmark: Redis - 500 - 1:5memtier-benchmark: Redis - 100 - 1:10memtier-benchmark: Redis - 500 - 1:10apache-iotdb: 100 - 1 - 200apache-iotdb: 100 - 1 - 500apache-iotdb: 200 - 1 - 200apache-iotdb: 200 - 1 - 500apache-iotdb: 500 - 1 - 200apache-iotdb: 500 - 1 - 500apache-iotdb: 100 - 100 - 200apache-iotdb: 100 - 100 - 500apache-iotdb: 200 - 100 - 200apache-iotdb: 200 - 100 - 500apache-iotdb: 500 - 100 - 200apache-iotdb: 500 - 100 - 500liquid-dsp: 1 - 256 - 32liquid-dsp: 1 - 256 - 57liquid-dsp: 2 - 256 - 32liquid-dsp: 2 - 256 - 57liquid-dsp: 4 - 256 - 32liquid-dsp: 4 - 256 - 57liquid-dsp: 8 - 256 - 32liquid-dsp: 8 - 256 - 57liquid-dsp: 1 - 256 - 512liquid-dsp: 2 - 256 - 512liquid-dsp: 4 - 256 - 512liquid-dsp: 8 - 256 - 512ncnn: CPU - mobilenetncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU - shufflenet-v2ncnn: CPU - mnasnetncnn: CPU - efficientnet-b0ncnn: CPU - blazefacencnn: CPU - googlenetncnn: CPU - vgg16ncnn: CPU - resnet18ncnn: CPU - alexnetncnn: CPU - resnet50ncnn: CPU - yolov4-tinyncnn: CPU - squeezenet_ssdncnn: CPU - regnety_400mncnn: CPU - vision_transformerncnn: CPU - FastestDetncnn: Vulkan GPU - mobilenetncnn: Vulkan GPU-v2-v2 - mobilenet-v2ncnn: Vulkan GPU-v3-v3 - mobilenet-v3ncnn: Vulkan GPU - shufflenet-v2ncnn: Vulkan GPU - mnasnetncnn: Vulkan GPU - efficientnet-b0ncnn: Vulkan GPU - blazefacencnn: Vulkan GPU - googlenetncnn: Vulkan GPU - vgg16ncnn: Vulkan GPU - resnet18ncnn: Vulkan GPU - alexnetncnn: Vulkan GPU - resnet50ncnn: Vulkan GPU - yolov4-tinyncnn: Vulkan GPU - squeezenet_ssdncnn: Vulkan GPU - regnety_400mncnn: Vulkan GPU - vision_transformerncnn: Vulkan GPU - FastestDetdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Asynchronous Multi-Streamdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Streamdeepsparse: ResNet-50, Baseline - Asynchronous Multi-Streamdeepsparse: ResNet-50, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Streamdeepsparse: BERT-Large, NLP Question Answering - Asynchronous Multi-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamdeepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Streamdeepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamsqlite: 1sqlite: 2sqlite: 4z3: 1.smt2z3: 2.smt2build-godot: Time To Compilebuild-llvm: Ninjabuild-llvm: Unix Makefilesbuild2: Time To Compileencode-opus: WAV To Opus Encodeab22.6234.8117.3429.6515.7575.4107.84342.21144.53550.47212.43984.7523699.7020.8653.951422109.84284300.80273.05486078.6856.59604156.72224.514590.53375933.99669.419551.7934974.2616.41170492.1636779.86929178.437310.053218725.5117318.712666.192058.703267.31743.83383.491078.732431.222495.57147314.85705297.962978232.737289.322485856.0769.132652462.62244.1267.01273.35191.30205.606232691.114598977.933873659.17088823.52183.73694.21833.82294.78834.16701.0929.49035.49734.0494.26035.739154.597202.8521.1802.6933.9059.882268.3379.947.790.90.120.120.061.493341.3739952.59040.7451460.6221821.061642.352765.425028.91858.300930.5673196.784314.67202.667729.658512.544117.51242.981521.29859.45532.03092379.826422525368.39502050.43496309.761039311.121016703.271109812.44890374.231028641.19914462.02529599996242.81816344.21333775.591036429.93611157.7315017343.4913467917.3112613348.938609112.978900311.034948660.1946516500434290008555050073795500140280000119590000177945000140345000772180015179500258305003571900025.936.695.144.296.049.780.9116.2397.4212.6111.6836.0238.3716.5510.03233.965.3928.156.675.113.665.239.220.9416.2997.7012.7311.6733.1839.3915.979.82240.035.66855.676930.539869.5593244.561765.951710.2465137.9489764.267668.0491162.1647116.2683669.180993.8482211.9830979.179730.327123.465125.83043.973130.9411372.6042892.0882967.528555.93635.39622.9334.4816.6829.7515.1170.46104.43387.15143.24485.93198.411026.93638650.5128.4660.491533355.11318466.50335.91624014.1743.09694562.47249.995684.53434156.10715.5812140.6042229.6119.3182936.6843752.371153192.757866.43241408.2117116.7912444.332164.203134.04762.86396.031088.752431.012508.63148388.79733269.792737483.307877.702360589.1074.132519916.10249.6266.38310.94190.87205.448626090.908009577.519588758.94993913.45423.69624.19983.85034.76363.99230.9489.43628.97830.9754.77331.014157.692206.7691.1702.6723.7909.868268.3383.748.090.80.120.120.061.36921.3446750.08290.7347830.7099861.0129532.335265.356428.46408.283229.7603195.485814.60693.246128.962212.950220.72643.232034.323111.17192.38832404.826438518308.20486807.49485922.631398883.011372033.181455171.861248610.701377833.481253523.69524660.181009840.28812170.861298988.311040683.13637041.6215526243.8412006039.14124640739394851.379246224.424629287.7946825000434275008566400073620500139950000112205000185540000132830000771085015023500258125003652300027.686.154.313.024.499.430.9316.1998.7512.6211.6434.3339.3115.8010.12232.175.5527.386.675.113.675.269.340.9616.1996.2612.5611.6933.6039.1715.4810.41235.515.47864.993230.566470.8213245.643068.000310.336139.0475614.679369.6181154.258698.7143628.363958.2368179.0772835.851788.585170.014173.04543.419131.4051384.7662908.8782929.911569.60935.426OpenBenchmarking.org

Apache IoTDB

OpenBenchmarking.orgAverage Latency, More Is BetterApache IoTDB 1.1.2Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 200ab51015202522.6222.93MAX: 1174.88MAX: 1216.89

OpenBenchmarking.orgAverage Latency, More Is BetterApache IoTDB 1.1.2Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 500ba81624324034.4834.81MAX: 1495.07MAX: 1426.89

OpenBenchmarking.orgAverage Latency, More Is BetterApache IoTDB 1.1.2Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 200ba4812162016.6817.34MAX: 1251.48MAX: 866.08

OpenBenchmarking.orgAverage Latency, More Is BetterApache IoTDB 1.1.2Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 500ab71421283529.6529.75MAX: 1193.78MAX: 1271.26

OpenBenchmarking.orgAverage Latency, More Is BetterApache IoTDB 1.1.2Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 200ba4812162015.1115.75MAX: 1458.64MAX: 1425.54

OpenBenchmarking.orgAverage Latency, More Is BetterApache IoTDB 1.1.2Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 500ba2040608010070.4675.40MAX: 1429.13MAX: 1528.52

OpenBenchmarking.orgAverage Latency, More Is BetterApache IoTDB 1.1.2Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 200ba20406080100104.43107.84MAX: 2007.51MAX: 1809.87

OpenBenchmarking.orgAverage Latency, More Is BetterApache IoTDB 1.1.2Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 500ab80160240320400342.21387.15MAX: 2349.14MAX: 2248.18

OpenBenchmarking.orgAverage Latency, More Is BetterApache IoTDB 1.1.2Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 200ba306090120150143.24144.53MAX: 2073.51MAX: 1992.27

OpenBenchmarking.orgAverage Latency, More Is BetterApache IoTDB 1.1.2Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 500ba120240360480600485.93550.47MAX: 2859.52MAX: 3020.53

OpenBenchmarking.orgAverage Latency, More Is BetterApache IoTDB 1.1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200ba50100150200250198.41212.43MAX: 2427.81MAX: 2080.14

OpenBenchmarking.orgAverage Latency, More Is BetterApache IoTDB 1.1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500ab2004006008001000984.701026.93MAX: 4944.15MAX: 6211.26

Stress-NG

Stress-NG is a Linux stress tool developed by Colin Ian King. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Hashab140K280K420K560K700KSE +/- 38337.11, N = 2SE +/- 38690.57, N = 2523699.70638650.511. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: MMAPab714212835SE +/- 3.19, N = 2SE +/- 3.70, N = 220.8628.461. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: NUMAab1428425670SE +/- 5.63, N = 2SE +/- 5.27, N = 253.9560.491. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Pipeab300K600K900K1200K1500KSE +/- 30380.48, N = 2SE +/- 131648.17, N = 21422109.841533355.111. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Pollab70K140K210K280K350KSE +/- 20478.34, N = 2SE +/- 23847.48, N = 2284300.80318466.501. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Zlibab70140210280350SE +/- 31.94, N = 2SE +/- 21.49, N = 2273.05335.911. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Futexab130K260K390K520K650KSE +/- 36419.89, N = 2SE +/- 57507.32, N = 2486078.68624014.171. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: MEMFDba1326395265SE +/- 0.72, N = 2SE +/- 0.79, N = 243.0956.591. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Mutexab150K300K450K600K750KSE +/- 76155.40, N = 2SE +/- 20730.70, N = 2604156.72694562.471. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Atomicab50100150200250SE +/- 10.78, N = 2SE +/- 11.52, N = 2224.51249.991. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Cryptoab12002400360048006000SE +/- 47.72, N = 2SE +/- 96.10, N = 24590.535684.531. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Mallocab90K180K270K360K450KSE +/- 39637.02, N = 2SE +/- 46761.51, N = 2375933.99434156.101. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Cloningab150300450600750SE +/- 28.62, N = 2SE +/- 2.47, N = 2669.41715.581. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Forkingab3K6K9K12K15KSE +/- 301.28, N = 2SE +/- 1330.94, N = 29551.7912140.601. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Pthreadab9K18K27K36K45KSE +/- 4732.28, N = 2SE +/- 4375.87, N = 234974.2642229.611. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: AVL Treeab510152025SE +/- 0.05, N = 2SE +/- 0.15, N = 216.4119.301. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: IO_uringab40K80K120K160K200KSE +/- 2497.26, N = 2SE +/- 499.46, N = 2170492.16182936.681. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: SENDFILEab9K18K27K36K45KSE +/- 1669.87, N = 2SE +/- 1151.61, N = 236779.8643752.371. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: CPU Cacheab200K400K600K800K1000KSE +/- 244998.38, N = 2SE +/- 138960.51, N = 2929178.431153192.751. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: CPU Stressab2K4K6K8K10KSE +/- 567.82, N = 2SE +/- 158.65, N = 27310.057866.401. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Semaphoresab700K1400K2100K2800K3500KSE +/- 287315.12, N = 2SE +/- 70160.30, N = 23218725.513241408.211. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Matrix Mathba4K8K12K16K20KSE +/- 854.63, N = 2SE +/- 1025.15, N = 217116.7917318.701. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Vector Mathba3K6K9K12K15KSE +/- 913.67, N = 2SE +/- 425.64, N = 212444.3312666.191. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Function Callab5001000150020002500SE +/- 96.37, N = 2SE +/- 40.41, N = 22058.702164.201. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: x86_64 RdRandba7001400210028003500SE +/- 68.45, N = 2SE +/- 13.37, N = 23134.043267.311. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Floating Pointab160320480640800SE +/- 25.00, N = 2SE +/- 25.67, N = 2743.83762.861. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Matrix 3D Mathab90180270360450SE +/- 5.36, N = 2SE +/- 6.17, N = 2383.49396.031. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Memory Copyingab2004006008001000SE +/- 40.86, N = 2SE +/- 40.05, N = 21078.731088.751. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Vector Shuffleba5001000150020002500SE +/- 17.07, N = 2SE +/- 33.39, N = 22431.012431.221. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Socket Activityab5001000150020002500SE +/- 249.85, N = 2SE +/- 271.08, N = 22495.572508.631. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Wide Vector Mathab30K60K90K120K150KSE +/- 2993.76, N = 2SE +/- 3329.63, N = 2147314.85148388.791. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Context Switchingab160K320K480K640K800KSE +/- 53162.51, N = 2SE +/- 16234.88, N = 2705297.96733269.791. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Fused Multiply-Addba600K1200K1800K2400K3000KSE +/- 262560.86, N = 2SE +/- 63230.65, N = 22737483.302978232.731. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Vector Floating Pointab2K4K6K8K10KSE +/- 364.11, N = 2SE +/- 310.83, N = 27289.327877.701. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Glibc C String Functionsba500K1000K1500K2000K2500KSE +/- 158119.57, N = 2SE +/- 92139.37, N = 22360589.102485856.071. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Glibc Qsort Data Sortingab1632486480SE +/- 5.90, N = 2SE +/- 3.74, N = 269.1374.131. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: System V Message Passingba600K1200K1800K2400K3000KSE +/- 200089.21, N = 2SE +/- 119752.37, N = 22519916.102652462.621. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

dav1d

Dav1d is an open-source, speedy AV1 video decoder supporting modern SIMD CPU features. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is Betterdav1d 1.2.1Video Input: Chimera 1080pab50100150200250SE +/- 2.76, N = 2SE +/- 1.95, N = 2244.12249.621. (CC) gcc options: -pthread -lm

OpenBenchmarking.orgFPS, More Is Betterdav1d 1.2.1Video Input: Summer Nature 4Kba1530456075SE +/- 2.35, N = 2SE +/- 0.31, N = 266.3867.011. (CC) gcc options: -pthread -lm

OpenBenchmarking.orgFPS, More Is Betterdav1d 1.2.1Video Input: Summer Nature 1080pab70140210280350SE +/- 4.15, N = 2SE +/- 2.55, N = 2273.35310.941. (CC) gcc options: -pthread -lm

OpenBenchmarking.orgFPS, More Is Betterdav1d 1.2.1Video Input: Chimera 1080p 10-bitba4080120160200SE +/- 12.81, N = 2SE +/- 19.41, N = 2190.87191.301. (CC) gcc options: -pthread -lm

Xonotic

This is a benchmark of Xonotic, which is a fork of the DarkPlaces-based Nexuiz game. Development began in March of 2010 on the Xonotic game for this open-source first person shooter title. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.6Resolution: 1920 x 1080 - Effects Quality: Lowba50100150200250SE +/- 0.60, N = 2SE +/- 0.72, N = 2205.45205.61MIN: 95 / MAX: 334MIN: 99 / MAX: 336

OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.6Resolution: 1920 x 1080 - Effects Quality: Highba20406080100SE +/- 0.32, N = 2SE +/- 0.04, N = 290.9191.11MIN: 38 / MAX: 130MIN: 39 / MAX: 130

OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.6Resolution: 1920 x 1080 - Effects Quality: Ultraba20406080100SE +/- 0.41, N = 2SE +/- 0.16, N = 277.5277.93MIN: 32 / MAX: 120MIN: 34 / MAX: 120

OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.6Resolution: 1920 x 1080 - Effects Quality: Ultimateba1326395265SE +/- 0.06, N = 2SE +/- 0.07, N = 258.9559.17MIN: 24 / MAX: 94MIN: 24 / MAX: 94

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs (and GPUs via SYCL) and supporting instruction sets such as SSE, AVX, AVX2, and AVX-512. Embree also supports making use of the Intel SPMD Program Compiler (ISPC). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.1Binary: Pathtracer - Model: Crownba0.79241.58482.37723.16963.962SE +/- 0.0668, N = 2SE +/- 0.0068, N = 23.45423.5218MIN: 2.82 / MAX: 4.4MIN: 2.81 / MAX: 4.3

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.1Binary: Pathtracer ISPC - Model: Crownba0.84081.68162.52243.36324.204SE +/- 0.1040, N = 2SE +/- 0.0660, N = 23.69623.7369MIN: 3.06 / MAX: 4.78MIN: 3.08 / MAX: 4.7

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.1Binary: Pathtracer - Model: Asian Dragonba0.94911.89822.84733.79644.7455SE +/- 0.0239, N = 2SE +/- 0.0414, N = 24.19984.2183MIN: 3.54 / MAX: 5.43MIN: 3.54 / MAX: 5.31

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.1Binary: Pathtracer - Model: Asian Dragon Objab0.86631.73262.59893.46524.3315SE +/- 0.0521, N = 2SE +/- 0.0122, N = 23.82293.8503MIN: 3.19 / MAX: 4.76MIN: 3.22 / MAX: 4.83

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.1Binary: Pathtracer ISPC - Model: Asian Dragonba1.07742.15483.23224.30965.387SE +/- 0.0364, N = 2SE +/- 0.0697, N = 24.76364.7883MIN: 4.05 / MAX: 5.98MIN: 4.05 / MAX: 5.89

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.1Binary: Pathtracer ISPC - Model: Asian Dragon Objba0.93761.87522.81283.75044.688SE +/- 0.1882, N = 2SE +/- 0.0272, N = 23.99234.1670MIN: 3.51 / MAX: 5.03MIN: 3.5 / MAX: 5.07

SVT-AV1

This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.6Encoder Mode: Preset 4 - Input: Bosphorus 4Kba0.24570.49140.73710.98281.2285SE +/- 0.003, N = 2SE +/- 0.023, N = 20.9481.0921. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.6Encoder Mode: Preset 8 - Input: Bosphorus 4Kba3691215SE +/- 1.160, N = 2SE +/- 0.307, N = 29.4369.4901. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.6Encoder Mode: Preset 12 - Input: Bosphorus 4Kba816243240SE +/- 0.81, N = 2SE +/- 0.91, N = 228.9835.501. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.6Encoder Mode: Preset 13 - Input: Bosphorus 4Kba816243240SE +/- 2.71, N = 2SE +/- 2.10, N = 230.9834.051. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.6Encoder Mode: Preset 4 - Input: Bosphorus 1080pab1.07392.14783.22174.29565.3695SE +/- 0.495, N = 2SE +/- 0.109, N = 24.2604.7731. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.6Encoder Mode: Preset 8 - Input: Bosphorus 1080pba816243240SE +/- 2.58, N = 2SE +/- 0.87, N = 231.0135.741. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.6Encoder Mode: Preset 12 - Input: Bosphorus 1080pab306090120150SE +/- 0.24, N = 2SE +/- 0.70, N = 2154.60157.691. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.6Encoder Mode: Preset 13 - Input: Bosphorus 1080pab50100150200250SE +/- 0.66, N = 2SE +/- 0.84, N = 2202.85206.771. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

VVenC

VVenC is the Fraunhofer Versatile Video Encoder as a fast/efficient H.266/VVC encoder. The vvenc encoder makes use of SIMD Everywhere (SIMDe). The vvenc software is published under the Clear BSD License. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.9Video Input: Bosphorus 4K - Video Preset: Fastba0.26550.5310.79651.0621.3275SE +/- 0.013, N = 2SE +/- 0.013, N = 21.1701.1801. (CXX) g++ options: -O3 -flto -fno-fat-lto-objects -flto=auto

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.9Video Input: Bosphorus 4K - Video Preset: Fasterba0.60591.21181.81772.42363.0295SE +/- 0.045, N = 2SE +/- 0.052, N = 22.6722.6931. (CXX) g++ options: -O3 -flto -fno-fat-lto-objects -flto=auto

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.9Video Input: Bosphorus 1080p - Video Preset: Fastba0.87861.75722.63583.51444.393SE +/- 0.042, N = 2SE +/- 0.015, N = 23.7903.9051. (CXX) g++ options: -O3 -flto -fno-fat-lto-objects -flto=auto

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.9Video Input: Bosphorus 1080p - Video Preset: Fasterba3691215SE +/- 0.603, N = 2SE +/- 0.090, N = 29.8689.8821. (CXX) g++ options: -O3 -flto -fno-fat-lto-objects -flto=auto

vkpeak

Vkpeak is a Vulkan compute benchmark inspired by OpenCL's clpeak. Vkpeak provides Vulkan compute performance measurements for FP16 / FP32 / FP64 / INT16 / INT32 scalar and vec4 performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20230730fp32-scalarab60120180240300SE +/- 0.00, N = 2SE +/- 0.01, N = 2268.33268.33

libxsmm

Libxsmm is an open-source library for specialized dense and sparse matrix operations and deep learning primitives. Libxsmm supports making use of Intel AMX, AVX-512, and other modern CPU instruction set capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOPS/s, More Is Betterlibxsmm 2-1.17-3645M N K: 128ab20406080100SE +/- 4.60, N = 2SE +/- 4.10, N = 279.983.71. (CXX) g++ options: -dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lquadmath -lstdc++ -pthread -fPIC -std=c++14 -O2 -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden -march=core-avx2

OpenBenchmarking.orgGFLOPS/s, More Is Betterlibxsmm 2-1.17-3645M N K: 32ab1122334455SE +/- 0.35, N = 2SE +/- 0.55, N = 247.748.01. (CXX) g++ options: -dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lquadmath -lstdc++ -pthread -fPIC -std=c++14 -O2 -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden -march=core-avx2

OpenBenchmarking.orgGFLOPS/s, More Is Betterlibxsmm 2-1.17-3645M N K: 64ba20406080100SE +/- 4.80, N = 2SE +/- 4.45, N = 290.890.91. (CXX) g++ options: -dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lquadmath -lstdc++ -pthread -fPIC -std=c++14 -O2 -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden -march=core-avx2

Intel Open Image Denoise

Open Image Denoise is a denoising library for ray-tracing and part of the Intel oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.0Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Onlyab0.0270.0540.0810.1080.135SE +/- 0.00, N = 2SE +/- 0.00, N = 20.120.12

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.0Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Onlyab0.0270.0540.0810.1080.135SE +/- 0.00, N = 2SE +/- 0.00, N = 20.120.12

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.0Run: RTLightmap.hdr.4096x4096 - Device: CPU-Onlyab0.01350.0270.04050.0540.0675SE +/- 0.00, N = 2SE +/- 0.00, N = 20.060.06

OSPRay

Intel OSPRay is a portable ray-tracing engine for high-performance, high-fidelity scientific visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: particle_volume/ao/real_timeba0.3360.6721.0081.3441.68SE +/- 0.02805, N = 2SE +/- 0.09686, N = 21.369201.49334

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: particle_volume/scivis/real_timeba0.30910.61820.92731.23641.5455SE +/- 0.00287, N = 2SE +/- 0.00084, N = 21.344671.37399

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: particle_volume/pathtracer/real_timeba1224364860SE +/- 0.02, N = 2SE +/- 0.59, N = 250.0852.59

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/ao/real_timeba0.16770.33540.50310.67080.8385SE +/- 0.008961, N = 2SE +/- 0.009807, N = 20.7347830.745146

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/scivis/real_timeab0.15970.31940.47910.63880.7985SE +/- 0.014296, N = 2SE +/- 0.025213, N = 20.6221820.709986

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_timeba0.23890.47780.71670.95561.1945SE +/- 0.016867, N = 2SE +/- 0.011835, N = 21.0129531.061640

Neural Magic DeepSparse

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Streamba0.52941.05881.58822.11762.647SE +/- 0.2323, N = 2SE +/- 0.2053, N = 22.33522.3527

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Streamba1530456075SE +/- 0.29, N = 2SE +/- 0.37, N = 265.3665.43

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Streamba714212835SE +/- 2.67, N = 2SE +/- 2.30, N = 228.4628.92

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Streamba246810SE +/- 1.0939, N = 2SE +/- 1.0816, N = 28.28328.3009

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Streamba714212835SE +/- 3.30, N = 2SE +/- 2.83, N = 229.7630.57

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Streamba4080120160200SE +/- 21.75, N = 2SE +/- 20.06, N = 2195.49196.78

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Streamba48121620SE +/- 1.82, N = 2SE +/- 1.61, N = 214.6114.67

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Streamab0.73041.46082.19122.92163.652SE +/- 0.3971, N = 2SE +/- 0.0188, N = 22.66773.2461

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Streamba714212835SE +/- 2.67, N = 2SE +/- 2.87, N = 228.9629.66

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Streamab3691215SE +/- 1.68, N = 2SE +/- 0.10, N = 212.5412.95

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Streamab510152025SE +/- 2.36, N = 2SE +/- 3.12, N = 217.5120.73

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Streamab0.72721.45442.18162.90883.636SE +/- 0.0495, N = 2SE +/- 0.4116, N = 22.98153.2320

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Streamab816243240SE +/- 0.07, N = 2SE +/- 0.13, N = 221.3034.32

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Streamab3691215SE +/- 0.6045, N = 2SE +/- 0.2364, N = 29.455311.1719

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Streamab0.53741.07481.61222.14962.687SE +/- 0.0085, N = 2SE +/- 0.0327, N = 22.03092.3883

QuantLib

QuantLib is an open-source library/framework around quantitative finance for modeling, trading and risk management scenarios. QuantLib is written in C++ with Boost and its built-in benchmark used reports the QuantLib Benchmark Index benchmark score. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMFLOPS, More Is BetterQuantLib 1.30ab5001000150020002500SE +/- 210.20, N = 2SE +/- 234.25, N = 22379.82404.81. (CXX) g++ options: -O3 -march=native -fPIE -pie

Apache Cassandra

This is a benchmark of the Apache Cassandra NoSQL database management system making use of cassandra-stress. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 4.1.3Test: Writesab6K12K18K24K30KSE +/- 149.00, N = 2SE +/- 71.50, N = 22642226438

Memcached

Memcached is a high performance, distributed memory object caching system. This Memcached test profiles makes use of memtier_benchmark for excuting this CPU/memory-focused server benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps/sec, More Is BetterMemcached 1.6.19Set To Get Ratio: 1:5ba110K220K330K440K550KSE +/- 13966.62, N = 2SE +/- 12286.93, N = 2518308.20525368.391. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

OpenBenchmarking.orgOps/sec, More Is BetterMemcached 1.6.19Set To Get Ratio: 1:10ba110K220K330K440K550KSE +/- 4490.17, N = 2SE +/- 9547.84, N = 2486807.49502050.431. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

OpenBenchmarking.orgOps/sec, More Is BetterMemcached 1.6.19Set To Get Ratio: 1:100ba110K220K330K440K550KSE +/- 14781.65, N = 2SE +/- 10780.90, N = 2485922.63496309.761. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

Redis 7.0.12 + memtier_benchmark

Memtier_benchmark is a NoSQL Redis/Memcache traffic generation plus benchmarking tool developed by Redis Labs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps/sec, More Is BetterRedis 7.0.12 + memtier_benchmark 2.0Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:5ab300K600K900K1200K1500KSE +/- 43465.56, N = 2SE +/- 4729.88, N = 21039311.121398883.011. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

OpenBenchmarking.orgOps/sec, More Is BetterRedis 7.0.12 + memtier_benchmark 2.0Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5ab300K600K900K1200K1500KSE +/- 44860.53, N = 2SE +/- 39391.55, N = 21016703.271372033.181. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

OpenBenchmarking.orgOps/sec, More Is BetterRedis 7.0.12 + memtier_benchmark 2.0Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:10ab300K600K900K1200K1500KSE +/- 19181.49, N = 2SE +/- 18012.65, N = 21109812.441455171.861. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

OpenBenchmarking.orgOps/sec, More Is BetterRedis 7.0.12 + memtier_benchmark 2.0Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:5ab300K600K900K1200K1500KSE +/- 8374.42, N = 2SE +/- 25673.44, N = 2890374.231248610.701. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

OpenBenchmarking.orgOps/sec, More Is BetterRedis 7.0.12 + memtier_benchmark 2.0Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10ab300K600K900K1200K1500KSE +/- 568.99, N = 2SE +/- 8107.22, N = 21028641.191377833.481. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

OpenBenchmarking.orgOps/sec, More Is BetterRedis 7.0.12 + memtier_benchmark 2.0Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:10ab300K600K900K1200K1500KSE +/- 45279.14, N = 2SE +/- 63299.47, N = 2914462.021253523.691. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

Apache IoTDB

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.1.2Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 200ba110K220K330K440K550K524660.18529599.00

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.1.2Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 500ab200K400K600K800K1000K996242.811009840.28

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.1.2Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 200ba200K400K600K800K1000K812170.86816344.20

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.1.2Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 500ba300K600K900K1200K1500K1298988.311333775.59

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.1.2Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 200ab200K400K600K800K1000K1036429.931040683.13

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.1.2Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 500ab140K280K420K560K700K611157.73637041.62

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.1.2Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 200ab3M6M9M12M15M15017343.4915526243.84

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.1.2Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 500ba3M6M9M12M15M12006039.1413467917.31

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.1.2Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 200ba3M6M9M12M15M12464073.0012613348.93

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.1.2Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 500ab2M4M6M8M10M8609112.979394851.37

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200ab2M4M6M8M10M8900311.039246224.42

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500ba1.1M2.2M3.3M4.4M5.5M4629287.794948660.19

Liquid-DSP

LiquidSDR's Liquid-DSP is a software-defined radio (SDR) digital signal processing library. This test profile runs a multi-threaded benchmark of this SDR/DSP library focused on embedded platform usage. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 1 - Buffer Length: 256 - Filter Length: 32ab10M20M30M40M50MSE +/- 451500.00, N = 2SE +/- 77000.00, N = 246516500468250001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 1 - Buffer Length: 256 - Filter Length: 57ba9M18M27M36M45MSE +/- 154500.00, N = 2SE +/- 225000.00, N = 243427500434290001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 2 - Buffer Length: 256 - Filter Length: 32ab20M40M60M80M100MSE +/- 873500.00, N = 2SE +/- 1161000.00, N = 285550500856640001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 2 - Buffer Length: 256 - Filter Length: 57ba16M32M48M64M80MSE +/- 620500.00, N = 2SE +/- 128500.00, N = 273620500737955001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 4 - Buffer Length: 256 - Filter Length: 32ba30M60M90M120M150MSE +/- 2610000.00, N = 2SE +/- 2650000.00, N = 21399500001402800001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 4 - Buffer Length: 256 - Filter Length: 57ba30M60M90M120M150MSE +/- 3395000.00, N = 2SE +/- 6360000.00, N = 21122050001195900001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 8 - Buffer Length: 256 - Filter Length: 32ab40M80M120M160M200MSE +/- 11475000.00, N = 2SE +/- 5480000.00, N = 21779450001855400001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 8 - Buffer Length: 256 - Filter Length: 57ba30M60M90M120M150MSE +/- 7270000.00, N = 2SE +/- 5615000.00, N = 21328300001403450001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 1 - Buffer Length: 256 - Filter Length: 512ba1.7M3.4M5.1M6.8M8.5MSE +/- 20850.00, N = 2SE +/- 8100.00, N = 2771085077218001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 2 - Buffer Length: 256 - Filter Length: 512ba3M6M9M12M15MSE +/- 149500.00, N = 2SE +/- 158500.00, N = 215023500151795001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 4 - Buffer Length: 256 - Filter Length: 512ba6M12M18M24M30MSE +/- 478500.00, N = 2SE +/- 466500.00, N = 225812500258305001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 8 - Buffer Length: 256 - Filter Length: 512ab8M16M24M32M40MSE +/- 3468000.00, N = 2SE +/- 2570000.00, N = 235719000365230001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

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 20230517Target: CPU - Model: mobilenetba714212835SE +/- 0.03, N = 2SE +/- 0.19, N = 227.6825.93MIN: 24.92 / MAX: 47.55MIN: 23.82 / MAX: 45.071. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU-v2-v2 - Model: mobilenet-v2ab246810SE +/- 0.70, N = 2SE +/- 0.07, N = 26.696.15MIN: 5.6 / MAX: 28.58MIN: 5.65 / MAX: 26.381. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU-v3-v3 - Model: mobilenet-v3ab1.15652.3133.46954.6265.7825SE +/- 0.80, N = 2SE +/- 0.04, N = 25.144.31MIN: 4.05 / MAX: 26.81MIN: 4.05 / MAX: 20.171. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: shufflenet-v2ab0.96531.93062.89593.86124.8265SE +/- 0.02, N = 2SE +/- 0.01, N = 24.293.02MIN: 3.99 / MAX: 24.93MIN: 2.73 / MAX: 18.891. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: mnasnetab246810SE +/- 0.02, N = 2SE +/- 0.02, N = 26.044.49MIN: 5.41 / MAX: 26.6MIN: 4.03 / MAX: 20.381. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: efficientnet-b0ab3691215SE +/- 0.65, N = 2SE +/- 0.02, N = 29.789.43MIN: 8.38 / MAX: 32.56MIN: 8.62 / MAX: 26.51. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: blazefaceba0.20930.41860.62790.83721.0465SE +/- 0.00, N = 2SE +/- 0.01, N = 20.930.91MIN: 0.8 / MAX: 3.09MIN: 0.78 / MAX: 3.031. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: googlenetab48121620SE +/- 0.08, N = 2SE +/- 0.10, N = 216.2316.19MIN: 15.01 / MAX: 32.85MIN: 14.97 / MAX: 32.251. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: vgg16ba20406080100SE +/- 2.34, N = 2SE +/- 0.26, N = 298.7597.42MIN: 90.66 / MAX: 1242.52MIN: 94.57 / MAX: 115.911. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: resnet18ba3691215SE +/- 0.11, N = 2SE +/- 0.04, N = 212.6212.61MIN: 11.83 / MAX: 28.8MIN: 11.89 / MAX: 29.061. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: alexnetab3691215SE +/- 0.06, N = 2SE +/- 0.07, N = 211.6811.64MIN: 10.92 / MAX: 27.91MIN: 10.99 / MAX: 27.751. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: resnet50ab816243240SE +/- 0.05, N = 2SE +/- 1.96, N = 236.0234.33MIN: 31.18 / MAX: 61.6MIN: 30.77 / MAX: 59.681. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: yolov4-tinyba918273645SE +/- 0.83, N = 2SE +/- 0.08, N = 239.3138.37MIN: 36.44 / MAX: 59.39MIN: 36.54 / MAX: 54.651. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: squeezenet_ssdab48121620SE +/- 0.30, N = 2SE +/- 0.37, N = 216.5515.80MIN: 15.48 / MAX: 37.44MIN: 13.81 / MAX: 36.581. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: regnety_400mba3691215SE +/- 0.04, N = 2SE +/- 0.14, N = 210.1210.03MIN: 9.48 / MAX: 25.78MIN: 8.93 / MAX: 25.511. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: vision_transformerab50100150200250SE +/- 0.17, N = 2SE +/- 5.04, N = 2233.96232.17MIN: 196.52 / MAX: 292.9MIN: 187.55 / MAX: 291.611. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: FastestDetba1.24882.49763.74644.99526.244SE +/- 0.16, N = 2SE +/- 0.04, N = 25.555.39MIN: 5.23 / MAX: 25.23MIN: 5.09 / MAX: 24.311. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: mobilenetab714212835SE +/- 0.19, N = 2SE +/- 0.57, N = 228.1527.38MIN: 26.87 / MAX: 48.42MIN: 24.23 / MAX: 47.571. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2ba246810SE +/- 0.65, N = 2SE +/- 0.67, N = 26.676.67MIN: 5.58 / MAX: 27.94MIN: 5.54 / MAX: 27.831. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3ba1.14982.29963.44944.59925.749SE +/- 0.80, N = 2SE +/- 0.77, N = 25.115.11MIN: 4.05 / MAX: 26.7MIN: 4.07 / MAX: 20.141. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: shufflenet-v2ba0.82581.65162.47743.30324.129SE +/- 0.62, N = 2SE +/- 0.63, N = 23.673.66MIN: 2.75 / MAX: 19.08MIN: 2.74 / MAX: 16.281. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: mnasnetba1.18352.3673.55054.7345.9175SE +/- 0.78, N = 2SE +/- 0.81, N = 25.265.23MIN: 4.06 / MAX: 22.06MIN: 4.05 / MAX: 26.681. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: efficientnet-b0ba3691215SE +/- 0.02, N = 2SE +/- 0.07, N = 29.349.22MIN: 8.61 / MAX: 25.62MIN: 8.52 / MAX: 24.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: blazefaceba0.2160.4320.6480.8641.08SE +/- 0.01, N = 2SE +/- 0.00, N = 20.960.94MIN: 0.8 / MAX: 3.11MIN: 0.86 / MAX: 3.071. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: googlenetab48121620SE +/- 0.00, N = 2SE +/- 0.01, N = 216.2916.19MIN: 14.94 / MAX: 33.61MIN: 14.91 / MAX: 32.91. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: vgg16ab20406080100SE +/- 0.23, N = 2SE +/- 0.11, N = 297.7096.26MIN: 94.39 / MAX: 117.31MIN: 93.43 / MAX: 114.681. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: resnet18ab3691215SE +/- 0.04, N = 2SE +/- 0.04, N = 212.7312.56MIN: 11.94 / MAX: 28.78MIN: 11.83 / MAX: 29.031. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: alexnetba3691215SE +/- 0.04, N = 2SE +/- 0.03, N = 211.6911.67MIN: 10.95 / MAX: 28.31MIN: 11.06 / MAX: 27.751. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: resnet50ba816243240SE +/- 1.36, N = 2SE +/- 0.55, N = 233.6033.18MIN: 30.7 / MAX: 59.9MIN: 31.12 / MAX: 58.51. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: yolov4-tinyab918273645SE +/- 1.02, N = 2SE +/- 1.11, N = 239.3939.17MIN: 36.4 / MAX: 60.27MIN: 36.39 / MAX: 59.831. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: squeezenet_ssdab48121620SE +/- 0.47, N = 2SE +/- 0.84, N = 215.9715.48MIN: 13.93 / MAX: 35.68MIN: 13.66 / MAX: 36.391. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: regnety_400mba3691215SE +/- 0.07, N = 2SE +/- 0.01, N = 210.419.82MIN: 9.74 / MAX: 26.42MIN: 9.26 / MAX: 25.331. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: vision_transformerab50100150200250SE +/- 3.20, N = 2SE +/- 3.18, N = 2240.03235.51MIN: 196.33 / MAX: 300.62MIN: 187.15 / MAX: 291.281. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: FastestDetab1.27352.5473.82055.0946.3675SE +/- 0.20, N = 2SE +/- 0.04, N = 25.665.47MIN: 5.23 / MAX: 24.86MIN: 5.21 / MAX: 24.931. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Neural Magic DeepSparse

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Streamba2004006008001000SE +/- 86.04, N = 2SE +/- 75.66, N = 2864.99855.68

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Streamba714212835SE +/- 0.13, N = 2SE +/- 0.17, N = 230.5730.54

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Streamba1632486480SE +/- 6.64, N = 2SE +/- 5.54, N = 270.8269.56

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Streamba50100150200250SE +/- 32.45, N = 2SE +/- 31.56, N = 2245.64244.56

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Streamba1530456075SE +/- 7.55, N = 2SE +/- 6.09, N = 268.0065.95

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Streamba3691215SE +/- 1.15, N = 2SE +/- 1.04, N = 210.3410.25

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Streamba306090120150SE +/- 17.32, N = 2SE +/- 15.16, N = 2139.05137.95

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Streamab160320480640800SE +/- 113.73, N = 2SE +/- 2.10, N = 2764.27614.68

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Streamba1530456075SE +/- 6.42, N = 2SE +/- 6.60, N = 269.6268.05

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Streamab4080120160200SE +/- 21.74, N = 2SE +/- 1.05, N = 2162.16154.26

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Streamab306090120150SE +/- 15.66, N = 2SE +/- 14.87, N = 2116.2798.71

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Streamab140280420560700SE +/- 12.84, N = 2SE +/- 79.47, N = 2669.18628.36

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Streamab20406080100SE +/- 0.32, N = 2SE +/- 0.22, N = 293.8558.24

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Streamab50100150200250SE +/- 13.47, N = 2SE +/- 3.79, N = 2211.98179.08

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Streamab2004006008001000SE +/- 0.29, N = 2SE +/- 13.19, N = 2979.18835.85

SQLite

This is a simple benchmark of SQLite. At present this test profile just measures the time to perform a pre-defined number of insertions on an indexed database with a variable number of concurrent repetitions -- up to the maximum number of CPU threads available. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite 3.41.2Threads / Copies: 1ba20406080100SE +/- 0.19, N = 2SE +/- 0.86, N = 288.5930.331. (CC) gcc options: -O2 -lreadline -ltermcap -lz -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite 3.41.2Threads / Copies: 2ba4080120160200SE +/- 1.42, N = 2SE +/- 24.93, N = 2170.01123.471. (CC) gcc options: -O2 -lreadline -ltermcap -lz -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite 3.41.2Threads / Copies: 4ba4080120160200SE +/- 0.50, N = 2SE +/- 17.49, N = 2173.05125.831. (CC) gcc options: -O2 -lreadline -ltermcap -lz -lm

Z3 Theorem Prover

The Z3 Theorem Prover / SMT solver is developed by Microsoft Research under the MIT license. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterZ3 Theorem Prover 4.12.1SMT File: 1.smt2ab1020304050SE +/- 0.05, N = 2SE +/- 0.18, N = 243.9743.421. (CXX) g++ options: -lpthread -std=c++17 -fvisibility=hidden -mfpmath=sse -msse -msse2 -O3 -fPIC

OpenBenchmarking.orgSeconds, Fewer Is BetterZ3 Theorem Prover 4.12.1SMT File: 2.smt2ba306090120150SE +/- 0.05, N = 2SE +/- 0.11, N = 2131.41130.941. (CXX) g++ options: -lpthread -std=c++17 -fvisibility=hidden -mfpmath=sse -msse -msse2 -O3 -fPIC

Timed Godot Game Engine Compilation

This test times how long it takes to compile the Godot Game Engine. Godot is a popular, open-source, cross-platform 2D/3D game engine and is built using the SCons build system and targeting the X11 platform. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 4.0Time To Compileba30060090012001500SE +/- 12.96, N = 2SE +/- 0.29, N = 21384.771372.60

Timed LLVM Compilation

This test times how long it takes to compile/build the LLVM compiler stack. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: Ninjaba6001200180024003000SE +/- 4.95, N = 2SE +/- 4.75, N = 22908.882892.09

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: Unix Makefilesab6001200180024003000SE +/- 45.61, N = 2SE +/- 7.61, N = 22967.532929.91

Build2

This test profile measures the time to bootstrap/install the build2 C++ build toolchain from source. Build2 is a cross-platform build toolchain for C/C++ code and features Cargo-like features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.15Time To Compileba120240360480600SE +/- 4.22, N = 2SE +/- 1.14, N = 2569.61555.94

Opus Codec Encoding

Opus is an open audio codec. Opus is a lossy audio compression format designed primarily for interactive real-time applications over the Internet. This test uses Opus-Tools and measures the time required to encode a WAV file to Opus five times. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpus Codec Encoding 1.4WAV To Opus Encodeba816243240SE +/- 0.06, N = 2SE +/- 0.10, N = 235.4335.401. (CXX) g++ options: -O3 -fvisibility=hidden -logg -lm

197 Results Shown

Apache IoTDB:
  100 - 1 - 200
  100 - 1 - 500
  200 - 1 - 200
  200 - 1 - 500
  500 - 1 - 200
  500 - 1 - 500
  100 - 100 - 200
  100 - 100 - 500
  200 - 100 - 200
  200 - 100 - 500
  500 - 100 - 200
  500 - 100 - 500
Stress-NG:
  Hash
  MMAP
  NUMA
  Pipe
  Poll
  Zlib
  Futex
  MEMFD
  Mutex
  Atomic
  Crypto
  Malloc
  Cloning
  Forking
  Pthread
  AVL Tree
  IO_uring
  SENDFILE
  CPU Cache
  CPU Stress
  Semaphores
  Matrix Math
  Vector Math
  Function Call
  x86_64 RdRand
  Floating Point
  Matrix 3D Math
  Memory Copying
  Vector Shuffle
  Socket Activity
  Wide Vector Math
  Context Switching
  Fused Multiply-Add
  Vector Floating Point
  Glibc C String Functions
  Glibc Qsort Data Sorting
  System V Message Passing
dav1d:
  Chimera 1080p
  Summer Nature 4K
  Summer Nature 1080p
  Chimera 1080p 10-bit
Xonotic:
  1920 x 1080 - Low
  1920 x 1080 - High
  1920 x 1080 - Ultra
  1920 x 1080 - Ultimate
Embree:
  Pathtracer - Crown
  Pathtracer ISPC - Crown
  Pathtracer - Asian Dragon
  Pathtracer - Asian Dragon Obj
  Pathtracer ISPC - Asian Dragon
  Pathtracer ISPC - Asian Dragon Obj
SVT-AV1:
  Preset 4 - Bosphorus 4K
  Preset 8 - Bosphorus 4K
  Preset 12 - Bosphorus 4K
  Preset 13 - Bosphorus 4K
  Preset 4 - Bosphorus 1080p
  Preset 8 - Bosphorus 1080p
  Preset 12 - Bosphorus 1080p
  Preset 13 - Bosphorus 1080p
VVenC:
  Bosphorus 4K - Fast
  Bosphorus 4K - Faster
  Bosphorus 1080p - Fast
  Bosphorus 1080p - Faster
vkpeak
libxsmm:
  128
  32
  64
Intel Open Image Denoise:
  RT.hdr_alb_nrm.3840x2160 - CPU-Only
  RT.ldr_alb_nrm.3840x2160 - CPU-Only
  RTLightmap.hdr.4096x4096 - CPU-Only
OSPRay:
  particle_volume/ao/real_time
  particle_volume/scivis/real_time
  particle_volume/pathtracer/real_time
  gravity_spheres_volume/dim_512/ao/real_time
  gravity_spheres_volume/dim_512/scivis/real_time
  gravity_spheres_volume/dim_512/pathtracer/real_time
Neural Magic DeepSparse:
  NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Stream
  NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Asynchronous Multi-Stream
  NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Asynchronous Multi-Stream
  NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Stream
  ResNet-50, Baseline - Asynchronous Multi-Stream
  ResNet-50, Sparse INT8 - Asynchronous Multi-Stream
  CV Detection, YOLOv5s COCO - Asynchronous Multi-Stream
  BERT-Large, NLP Question Answering - Asynchronous Multi-Stream
  CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Stream
  CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Stream
  NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Stream
  CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Stream
  BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Stream
  NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Stream
  NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Stream
QuantLib
Apache Cassandra
Memcached:
  1:5
  1:10
  1:100
Redis 7.0.12 + memtier_benchmark:
  Redis - 50 - 1:5
  Redis - 100 - 1:5
  Redis - 50 - 1:10
  Redis - 500 - 1:5
  Redis - 100 - 1:10
  Redis - 500 - 1:10
Apache IoTDB:
  100 - 1 - 200
  100 - 1 - 500
  200 - 1 - 200
  200 - 1 - 500
  500 - 1 - 200
  500 - 1 - 500
  100 - 100 - 200
  100 - 100 - 500
  200 - 100 - 200
  200 - 100 - 500
  500 - 100 - 200
  500 - 100 - 500
Liquid-DSP:
  1 - 256 - 32
  1 - 256 - 57
  2 - 256 - 32
  2 - 256 - 57
  4 - 256 - 32
  4 - 256 - 57
  8 - 256 - 32
  8 - 256 - 57
  1 - 256 - 512
  2 - 256 - 512
  4 - 256 - 512
  8 - 256 - 512
NCNN:
  CPU - mobilenet
  CPU-v2-v2 - mobilenet-v2
  CPU-v3-v3 - mobilenet-v3
  CPU - shufflenet-v2
  CPU - mnasnet
  CPU - efficientnet-b0
  CPU - blazeface
  CPU - googlenet
  CPU - vgg16
  CPU - resnet18
  CPU - alexnet
  CPU - resnet50
  CPU - yolov4-tiny
  CPU - squeezenet_ssd
  CPU - regnety_400m
  CPU - vision_transformer
  CPU - FastestDet
  Vulkan GPU - mobilenet
  Vulkan GPU-v2-v2 - mobilenet-v2
  Vulkan GPU-v3-v3 - mobilenet-v3
  Vulkan GPU - shufflenet-v2
  Vulkan GPU - mnasnet
  Vulkan GPU - efficientnet-b0
  Vulkan GPU - blazeface
  Vulkan GPU - googlenet
  Vulkan GPU - vgg16
  Vulkan GPU - resnet18
  Vulkan GPU - alexnet
  Vulkan GPU - resnet50
  Vulkan GPU - yolov4-tiny
  Vulkan GPU - squeezenet_ssd
  Vulkan GPU - regnety_400m
  Vulkan GPU - vision_transformer
  Vulkan GPU - FastestDet
Neural Magic DeepSparse:
  NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Stream
  NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Asynchronous Multi-Stream
  NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Asynchronous Multi-Stream
  NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Stream
  ResNet-50, Baseline - Asynchronous Multi-Stream
  ResNet-50, Sparse INT8 - Asynchronous Multi-Stream
  CV Detection, YOLOv5s COCO - Asynchronous Multi-Stream
  BERT-Large, NLP Question Answering - Asynchronous Multi-Stream
  CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Stream
  CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Stream
  NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Stream
  CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Stream
  BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Stream
  NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Stream
  NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Stream
SQLite:
  1
  2
  4
Z3 Theorem Prover:
  1.smt2
  2.smt2
Timed Godot Game Engine Compilation
Timed LLVM Compilation:
  Ninja
  Unix Makefiles
Build2
Opus Codec Encoding

a

Processor: Intel Core i7-8565U @ 4.60GHz (4 Cores / 8 Threads), Motherboard: Dell 0KTW76 (1.17.0 BIOS), Chipset: Intel Cannon Point-LP, Memory: 16GB, Disk: SK hynix PC401 NVMe 256GB, Graphics: Intel UHD 620 WHL GT2 15GB (1150MHz), Audio: Realtek ALC3271, Network: Qualcomm Atheros QCA6174 802.11ac

OS: Ubuntu 22.04, Kernel: 5.19.0-rc6-phx-retbleed (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.0.1, OpenCL: OpenCL 3.0, Vulkan: 1.3.204, Compiler: GCC 11.3.0, File-System: ext4, Screen Resolution: 1920x1080

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-xKiWfi/gcc-11-11.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-xKiWfi/gcc-11-11.3.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --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
Disk Notes: NONE / errors=remount-ro,relatime,rw / Block Size: 4096
Processor Notes: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0xf0 - Thermald 2.4.9
Java Notes: OpenJDK Runtime Environment (build 11.0.18+10-post-Ubuntu-0ubuntu122.04)
Python Notes: Python 3.10.6
Security Notes: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Not affected + mmio_stale_data: Mitigation of Clear buffers; SMT vulnerable + retbleed: Mitigation of IBRS + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of IBRS IBPB: conditional RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Not affected

Testing initiated at 5 August 2023 20:16 by user phoronix.

b

Processor: Intel Core i7-8565U @ 4.60GHz (4 Cores / 8 Threads), Motherboard: Dell 0KTW76 (1.17.0 BIOS), Chipset: Intel Cannon Point-LP, Memory: 16GB, Disk: SK hynix PC401 NVMe 256GB, Graphics: Intel UHD 620 WHL GT2 15GB (1150MHz), Audio: Realtek ALC3271, Network: Qualcomm Atheros QCA6174 802.11ac

OS: Ubuntu 22.04, Kernel: 5.19.0-rc6-phx-retbleed (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.0.1, OpenCL: OpenCL 3.0, Vulkan: 1.3.204, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 1920x1080

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-XeT9lY/gcc-11-11.4.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-XeT9lY/gcc-11-11.4.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --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
Disk Notes: NONE / errors=remount-ro,relatime,rw / Block Size: 4096
Processor Notes: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0xf0 - Thermald 2.4.9
Java Notes: OpenJDK Runtime Environment (build 11.0.20+8-post-Ubuntu-1ubuntu122.04)
Python Notes: Python 3.10.12
Security Notes: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Not affected + mmio_stale_data: Mitigation of Clear buffers; SMT vulnerable + retbleed: Mitigation of IBRS + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of IBRS IBPB: conditional RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Not affected

Testing initiated at 6 August 2023 08:16 by user phoronix.