extra march

5

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2204046-PTS-EXTRAMAR22
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
Disable Color Branding
Prefer Vertical Bar Graphs

Additional Graphs

Show Perf Per Core/Thread Calculation Graphs Where Applicable
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
Toggle/Hide
Result
Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
A
March 30 2022
  1 Hour, 21 Minutes
B
March 30 2022
  1 Hour, 15 Minutes
3700X A
March 30 2022
  59 Minutes
3700X B
March 30 2022
  58 Minutes
Ryzen 5 5500
April 02 2022
  57 Minutes
5500
April 02 2022
  57 Minutes
AMD 5500
April 02 2022
  57 Minutes
AMD Ryzen 5500
April 02 2022
  3 Hours, 1 Minute
Ryzen 5500
April 03 2022
  3 Hours, 12 Minutes
AMD 5500 Ryzen
April 03 2022
  3 Hours, 1 Minute
5
April 04 2022
  3 Hours, 16 Minutes
Invert Behavior (Only Show Selected Data)
  1 Hour, 49 Minutes

Only show results where is faster than
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):


extra marchProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen ResolutionDisplay DriverAB3700X A3700X BRyzen 5 55005500AMD 5500AMD Ryzen 5500Ryzen 5500AMD 5500 Ryzen5AMD Ryzen 7 2700 Eight-Core @ 3.20GHz (8 Cores / 16 Threads)Gigabyte AB350N-Gaming WIFI-CF (F20 BIOS)AMD 17h16GB120GB ADATA SU700 + 1000GBHIS AMD Radeon HD 6450/7450/8450 / R5 230 OEM 1GBAMD Caicos HDMI AudioDELL S2409WRealtek RTL8111/8168/8411 + Intel 3165Ubuntu 21.105.16.0-051600rc8-generic (x86_64)GNOME Shell 40.5X Server 1.20.13 + Wayland3.3 Mesa 21.2.2 (LLVM 12.0.1)1.1.182GCC 11.2.0ext41920x1080AMD Ryzen 7 3700X 8-Core @ 3.60GHz (8 Cores / 16 Threads)Gigabyte A320M-S2H-CF (F52a BIOS)AMD Starship/Matisse8GB240GB TOSHIBA RC100 + 1000GBHIS AMD Radeon HD 7750/8740 / R7 250E 1GBAMD Oland/Hainan/CapeVA2431Realtek RTL8111/8168/84114.5 Mesa 21.2.2 (LLVM 12.0.1)AMD Ryzen 5 5500 @ 3.60GHz (6 Cores / 12 Threads)Gigabyte A520M DS3H (F14 BIOS)AMD Renoir/Cezanne16GB1000GB Western Digital WDS100T1X0E-00AFY0ASUS NVIDIA NV106 2GBNVIDIA GK208 HDMI/DPMX279nouveau4.3 Mesa 21.2.2OpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler Details- --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-ZPT0kp/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-ZPT0kp/gcc-11-11.2.0/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 Processor Details- A: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0x800820d- B: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0x800820d- 3700X A: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0x8701021- 3700X B: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0x8701021- Ryzen 5 5500: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa50000c- 5500: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa50000c- AMD 5500: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa50000c- AMD Ryzen 5500: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa50000c- Ryzen 5500: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa50000c- AMD 5500 Ryzen: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa50000c- 5: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa50000cPython Details- Python 3.9.7Security Details- A: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected - B: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected - 3700X A: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected - 3700X B: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected - Ryzen 5 5500: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected - 5500: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected - AMD 5500: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected - AMD Ryzen 5500: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected - Ryzen 5500: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected - AMD 5500 Ryzen: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected - 5: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected

AB3700X A3700X BRyzen 5 55005500AMD 5500AMD Ryzen 5500Ryzen 5500AMD 5500 Ryzen5Result OverviewPhoronix Test Suite100%156%212%267%323%Parallel BZIP2 Compressionlibgav1AOM AV1oneDNNTimed MPlayer CompilationOSPray StudioONNX RuntimeFacebook RocksDB

extra marchospray-studio: 3 - 1080p - 32 - Path Tracerlibgav1: Chimera 1080p 10-bitospray-studio: 2 - 1080p - 32 - Path Tracerospray-studio: 1 - 1080p - 32 - Path Tracerospray-studio: 3 - 1080p - 1 - Path Tracerospray-studio: 2 - 1080p - 1 - Path Tracerospray-studio: 1 - 1080p - 1 - Path Traceronnx: super-resolution-10 - CPUonnx: ArcFace ResNet-100 - CPUonnx: fcn-resnet101-11 - CPUonnx: GPT-2 - CPUonnx: bertsquad-12 - CPUonnx: yolov4 - CPUrocksdb: Read While Writingaom-av1: Speed 6 Two-Pass - Bosphorus 4Konednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUospray-studio: 3 - 1080p - 16 - Path Traceronednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUospray-studio: 2 - 1080p - 16 - Path Tracerospray-studio: 1 - 1080p - 16 - Path Traceronednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUaom-av1: Speed 6 Realtime - Bosphorus 1080paom-av1: Speed 6 Realtime - Bosphorus 4Klibgav1: Summer Nature 4Krocksdb: Update Randrocksdb: Read Rand Write Randrocksdb: Rand Readlibgav1: Chimera 1080pbuild-mplayer: Time To Compileonednn: Deconvolution Batch shapes_1d - f32 - CPUaom-av1: Speed 6 Two-Pass - Bosphorus 1080pmemtier-benchmark: Redisaom-av1: Speed 10 Realtime - Bosphorus 4Konednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUaom-av1: Speed 8 Realtime - Bosphorus 4Kaom-av1: Speed 9 Realtime - Bosphorus 4Klibgav1: Summer Nature 1080ponednn: IP Shapes 1D - f32 - CPUonednn: IP Shapes 1D - u8s8f32 - CPUcompress-pbzip2: FreeBSD-13.0-RELEASE-amd64-memstick.img Compressiononednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUaom-av1: Speed 8 Realtime - Bosphorus 1080paom-av1: Speed 9 Realtime - Bosphorus 1080ponednn: IP Shapes 3D - f32 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUaom-av1: Speed 10 Realtime - Bosphorus 1080ponednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUonednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: IP Shapes 3D - bf16bf16bf16 - CPUAB3700X A3700X BRyzen 5 55005500AMD 5500AMD Ryzen 5500Ryzen 5500AMD 5500 Ryzen523996424.87204384200344724562046042194759233398122916614205014.394342.714312.351227877811.467761.837778.091060691035394279.974.385.3338.5329455210696413352952783.0953.39112.19613.891585870.638.718.5147325.4436.43107.267.850226.7596729.9395.674483.5386454.0562.659.55532.9548524.39224.574673.4311.203214.349523828425.07204824200501721262016040185661833396723016313179744.564148.274120.911227467806.297756.517747.21058871034514150.434.726.1238.729789610556363279910082.9553.37912.186413.941534641.7234.968.5168525.536.59106.537.859166.7564630.4895.16733.4208951.1665.199.507932.2842824.085724.088473.5711.209914.344114828438.1712804512550944503795370159432138024917931698.012742.522742.8772983880.213933.043939.0267123657802724.577.289.8353.9543355514928954355824040.6934.7959.8345824.391992753.1539.833.5617329.0437.25157.225.321222.482369.5475.038951.2676481.75103.8810.7172.6397923.101421.6898115.034.60846.7945714851438.15127995125281444338003708104658431238224917455158.012734.112726.11775563917.283861.893905.6766921657802747.677.269.8554.8436040149864041207631130.4634.8517.3217124.721983861.9437.593.5706629.5136.04157.85.343692.485799.4344.957561.2535781.55104.1410.59562.6060823.0921.4925114.84.574716.7998517683762.84152239148824533545514443297289453442536322614279127.672488.62487.78915004140.894140.664137.8779080774692500.8310.1911.8667.67416689128373741588718227.3247.54810.162323.7652.142.5324435.7849.32271.344.910771.7699110.6144.623991.9408399.13119.1811.99783.1366422.026722.617123.684.206979.0005917769761.49152496149679531445324435301191653442036422614439837.712429.22413.33916744130.394127.464131.2278767773552395.710.0811.8967.59416685128000241790619225.6647.49.1182223.8253.212.5330736.0350.54269.74.94371.7731610.6624.603481.8565799.54120.6511.31592.9171521.644321.9898124.664.233829.0024417742662.05152222148768535745874457300191254448936922714851137.682467.832458.09918794136.134139.414137.5979013774162429.7710.0711.7567.43414471125872741524535226.1147.5379.649523.7352.072.5360235.4249.42704.915911.7688610.5974.569971.8687496.99116.8411.57473.0347221.806222.6205122.424.2278.9888617745661.60152416148977534445734471297490153441936522514390007.732472.332477.64917494158.324148.474164.5179283775702481.6510.1711.7667.23417352126600941391218224.5947.6379.3446523.5952.252.5514835.7949.92269.654.899441.7908710.3674.639311.8940797.84116.3311.59763.0496521.825722.5144122.844.291949.1224718786859.98161776159221568348724772294290051438435922313574847.384981.024980.20968047956.147974.738007.8483897821264913.269.6810.7366.05304237118254139454905219.5750.06316.857122.5449.225.0577134.0047.72263.488.533893.5691911.1037.587014.2272593.63114.5313.53063.4397325.007327.2148116.847.1396112.303518784060.51161783158161569448764768292589751439234922313300537.344791.564728.84971917917.637976.037926.1083918822074785.959.7010.7965.96305946117893039374799219.3549.99716.925822.5850.275.0234434.5247.99263.478.400663.5935211.1007.555364.2133795.36114.7412.76043.2340424.393026.3734119.087.2284512.699918734660.33161115157158566448254752293590051439435522313149897.324903.314893.45967347965.087925.507967.0683280818334855.599.7710.7565.95304828118068939615744219.7749.98817.196822.4749.515.0296533.9647.28262.568.364103.4764411.0217.615554.2113293.57121.2513.51573.4287624.966027.1911116.517.2291612.6476OpenBenchmarking.org

OSPray Studio

Intel OSPray Studio is an open-source, interactive visualization and ray-tracing software package. OSPray Studio makes use of Intel OSPray, a portable ray-tracing engine for high-performance, high-fidelity 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.orgms, Fewer Is BetterOSPray Studio 0.10Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer3700X A3700X BRyzen 5 5500AMD 5500AMD Ryzen 550055005AMD 5500 RyzenRyzen 5500BA50K100K150K200K250KSE +/- 184.38, N = 3SE +/- 405.69, N = 3SE +/- 560.52, N = 3SE +/- 246.61, N = 31482841485141768371774261774561776971873461878401878682382842399641. (CXX) g++ options: -O3 -lm -ldl

libgav1

Libgav1 is an AV1 decoder developed by Google for AV1 profile 0/1 compliance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is Betterlibgav1 0.17Video Input: Chimera 1080p 10-bitRyzen 5 5500AMD 5500AMD Ryzen 55005500AMD 5500 Ryzen5Ryzen 55003700X A3700X BBA1428425670SE +/- 0.28, N = 3SE +/- 0.33, N = 3SE +/- 0.02, N = 3SE +/- 0.26, N = 362.8462.0561.6061.4960.5160.3359.9838.1738.1525.0724.871. (CXX) g++ options: -O3 -lrt

OSPray Studio

Intel OSPray Studio is an open-source, interactive visualization and ray-tracing software package. OSPray Studio makes use of Intel OSPray, a portable ray-tracing engine for high-performance, high-fidelity 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.orgms, Fewer Is BetterOSPray Studio 0.10Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer3700X B3700X AAMD 5500Ryzen 5 5500AMD Ryzen 550055005Ryzen 5500AMD 5500 RyzenAB40K80K120K160K200KSE +/- 34.45, N = 3SE +/- 259.05, N = 3SE +/- 324.51, N = 3SE +/- 192.08, N = 31279951280451522221522391524161524961611151617761617832043842048241. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPray Studio 0.10Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer3700X B3700X AAMD 5500Ryzen 5 5500AMD Ryzen 550055005AMD 5500 RyzenRyzen 5500AB40K80K120K160K200KSE +/- 126.60, N = 3SE +/- 687.86, N = 3SE +/- 433.89, N = 3SE +/- 74.61, N = 31252811255091487681488241489771496791571581581611592212003442005011. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPray Studio 0.10Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer3700X B3700X A5500Ryzen 5 5500AMD Ryzen 5500AMD 55005Ryzen 5500AMD 5500 RyzenBA16003200480064008000SE +/- 8.57, N = 3SE +/- 13.80, N = 3SE +/- 7.57, N = 3SE +/- 19.46, N = 3444344505314533553445357566456835694721272451. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPray Studio 0.10Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer3700X A3700X B5500Ryzen 5 5500AMD Ryzen 5500AMD 55005Ryzen 5500AMD 5500 RyzenBA13002600390052006500SE +/- 3.18, N = 3SE +/- 6.98, N = 3SE +/- 14.57, N = 3SE +/- 8.82, N = 3379538004532455145734587482548724876620162041. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPray Studio 0.10Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer3700X A3700X B5500Ryzen 5 5500AMD 5500AMD Ryzen 55005AMD 5500 RyzenRyzen 5500BA13002600390052006500SE +/- 3.84, N = 3SE +/- 7.67, N = 3SE +/- 6.08, N = 3SE +/- 6.33, N = 3370137084435444344574471475247684772604060421. (CXX) g++ options: -O3 -lm -ldl

ONNX Runtime

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: super-resolution-10 - Device: CPU5500AMD 5500AMD Ryzen 5500Ryzen 5 5500Ryzen 55005AMD 5500 RyzenAB6001200180024003000SE +/- 2.67, N = 3SE +/- 7.65, N = 3SE +/- 4.36, N = 3SE +/- 10.27, N = 33011300129742972294229352925194718561. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: ArcFace ResNet-100 - Device: CPU3700X B5500AMD 5500AMD Ryzen 55005Ryzen 5500AMD 5500 RyzenRyzen 5 5500BA2004006008001000SE +/- 2.08, N = 3SE +/- 3.00, N = 3SE +/- 1.09, N = 3SE +/- 1.76, N = 310469169129019009008978946185921. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: fcn-resnet101-11 - Device: CPU3700X A3700X BAMD 5500AMD Ryzen 55005500Ryzen 5 55005AMD 5500 RyzenRyzen 5500BA1326395265SE +/- 0.00, N = 3SE +/- 0.17, N = 3SE +/- 0.17, N = 3SE +/- 0.00, N = 359585453535351515133331. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: GPT-2 - Device: CPUAMD 5500Ryzen 5 55005500AMD Ryzen 55005AMD 5500 RyzenRyzen 55003700X A3700X BAB10002000300040005000SE +/- 3.09, N = 3SE +/- 9.44, N = 3SE +/- 11.19, N = 3SE +/- 10.37, N = 3448944254420441943944392438443214312398139671. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: bertsquad-12 - Device: CPU3700X B3700X AAMD 5500AMD Ryzen 55005500Ryzen 5 5500Ryzen 55005AMD 5500 RyzenBA80160240320400SE +/- 0.60, N = 3SE +/- 0.58, N = 3SE +/- 1.36, N = 3SE +/- 1.33, N = 33823803693653643633593553492302291. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: yolov4 - Device: CPU3700X B3700X AAMD 55005500Ryzen 5 5500AMD Ryzen 55005AMD 5500 RyzenRyzen 5500AB50100150200250SE +/- 0.73, N = 3SE +/- 0.50, N = 3SE +/- 0.58, N = 3SE +/- 0.17, N = 32492492272262262252232232231661631. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

Facebook RocksDB

This is a benchmark of Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 7.0.1Test: Read While Writing3700X A3700X BAMD 55005500AMD Ryzen 5500Ryzen 5 5500ARyzen 5500AMD 5500 RyzenB5400K800K1200K1600K2000KSE +/- 11762.52, N = 9SE +/- 13431.81, N = 15SE +/- 12357.77, N = 3SE +/- 9576.29, N = 3179316917455151485113144398314390001427912142050113574841330053131797413149891. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

AOM AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.3Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K3700X B3700X AAMD Ryzen 55005500AMD 5500Ryzen 5 5500Ryzen 5500AMD 5500 Ryzen5BA246810SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 38.018.017.737.717.687.677.387.347.324.564.391. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

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 Intel oneAPI. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU5500AMD 5500AMD Ryzen 5500Ryzen 5 55003700X B3700X ABAAMD 5500 Ryzen5Ryzen 550011002200330044005500SE +/- 7.79, N = 3SE +/- 60.97, N = 3SE +/- 42.06, N = 8SE +/- 15.50, N = 32429.202467.832472.332488.602734.112742.524148.274342.714791.564903.314981.02MIN: 2422.4MIN: 2459.58MIN: 2453.56MIN: 2484.13MIN: 2728.74MIN: 2736.58MIN: 4124.64MIN: 4268.69MIN: 4560.93MIN: 4613.28MIN: 4722.191. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU5500AMD 5500AMD Ryzen 5500Ryzen 5 55003700X B3700X ABAAMD 5500 Ryzen5Ryzen 550011002200330044005500SE +/- 7.33, N = 3SE +/- 31.11, N = 3SE +/- 40.69, N = 8SE +/- 52.29, N = 32413.332458.092477.642487.782726.112742.804120.914312.354728.844893.454980.20MIN: 2408.04MIN: 2452.72MIN: 2462.52MIN: 2481.35MIN: 2720.19MIN: 2736.99MIN: 4089.18MIN: 4277.42MIN: 4543.97MIN: 4639.66MIN: 4734.621. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

OSPray Studio

Intel OSPray Studio is an open-source, interactive visualization and ray-tracing software package. OSPray Studio makes use of Intel OSPray, a portable ray-tracing engine for high-performance, high-fidelity 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.orgms, Fewer Is BetterOSPray Studio 0.10Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer3700X A3700X BRyzen 5 55005500AMD Ryzen 5500AMD 55005Ryzen 5500AMD 5500 RyzenBA30K60K90K120K150KSE +/- 64.30, N = 3SE +/- 159.48, N = 3SE +/- 358.10, N = 3SE +/- 303.51, N = 37729877556915009167491749918799673496804971911227461227871. (CXX) g++ options: -O3 -lm -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 Intel oneAPI. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU3700X A3700X B5500AMD 5500Ryzen 5 5500AMD Ryzen 5500BAAMD 5500 RyzenRyzen 550052K4K6K8K10KSE +/- 6.63, N = 3SE +/- 25.72, N = 3SE +/- 9.70, N = 3SE +/- 60.41, N = 33880.213917.284130.394136.134140.894158.327806.297811.467917.637956.147965.08MIN: 3876.78MIN: 3914.08MIN: 4123.55MIN: 4129.85MIN: 4136.68MIN: 4138.58MIN: 7773.05MIN: 7784.25MIN: 7655.68MIN: 7732.03MIN: 7668.181. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU3700X B3700X A5500AMD 5500Ryzen 5 5500AMD Ryzen 5500BA5Ryzen 5500AMD 5500 Ryzen2K4K6K8K10KSE +/- 1.96, N = 3SE +/- 14.80, N = 3SE +/- 39.37, N = 3SE +/- 55.31, N = 33861.893933.044127.464139.414140.664148.477756.517761.837925.507974.737976.03MIN: 3858.79MIN: 3929.47MIN: 4121.06MIN: 4135.83MIN: 4135.97MIN: 4138.98MIN: 7731.91MIN: 7736.5MIN: 7656.69MIN: 7722.87MIN: 7645.091. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU3700X B3700X A5500AMD 5500Ryzen 5 5500AMD Ryzen 5500BAAMD 5500 Ryzen5Ryzen 55002K4K6K8K10KSE +/- 16.09, N = 3SE +/- 12.83, N = 3SE +/- 22.49, N = 3SE +/- 40.40, N = 33905.673939.024131.224137.594137.874164.517747.207778.097926.107967.068007.84MIN: 3902.67MIN: 3935.37MIN: 4126.45MIN: 4133.35MIN: 4132.72MIN: 4133.17MIN: 7722.48MIN: 7754.17MIN: 7676.39MIN: 7707.02MIN: 7758.161. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

OSPray Studio

Intel OSPray Studio is an open-source, interactive visualization and ray-tracing software package. OSPray Studio makes use of Intel OSPray, a portable ray-tracing engine for high-performance, high-fidelity 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.orgms, Fewer Is BetterOSPray Studio 0.10Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer3700X B3700X A5500AMD 5500Ryzen 5 5500AMD Ryzen 55005Ryzen 5500AMD 5500 RyzenBA20K40K60K80K100KSE +/- 110.50, N = 3SE +/- 323.90, N = 3SE +/- 273.04, N = 3SE +/- 274.38, N = 36692167123787677901379080792838328083897839181058871060691. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPray Studio 0.10Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer3700X A3700X B5500AMD 5500Ryzen 5 5500AMD Ryzen 55005Ryzen 5500AMD 5500 RyzenBA20K40K60K80K100KSE +/- 74.14, N = 3SE +/- 245.55, N = 3SE +/- 289.21, N = 3SE +/- 90.48, N = 36578065780773557741677469775708183382126822071034511035391. (CXX) g++ options: -O3 -lm -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 Intel oneAPI. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU5500AMD 5500AMD Ryzen 5500Ryzen 5 55003700X A3700X BBAAMD 5500 Ryzen5Ryzen 550011002200330044005500SE +/- 24.45, N = 3SE +/- 32.14, N = 3SE +/- 49.77, N = 3SE +/- 28.08, N = 32395.702429.772481.652500.832724.572747.674150.434279.974785.954855.594913.26MIN: 2389.82MIN: 2424.43MIN: 2429.24MIN: 2494.9MIN: 2718.47MIN: 2742.61MIN: 4125.42MIN: 4246.28MIN: 4485.88MIN: 4639.91MIN: 4734.071. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

AOM AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.3Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080pRyzen 5 5500AMD Ryzen 55005500AMD 55005AMD 5500 RyzenRyzen 55003700X A3700X BBA3691215SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 310.1910.1710.0810.079.779.709.687.287.264.724.381. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.3Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K5500Ryzen 5 5500AMD Ryzen 5500AMD 5500AMD 5500 Ryzen5Ryzen 55003700X B3700X ABA3691215SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 311.8911.8611.7611.7510.7910.7510.739.859.836.125.331. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

libgav1

Libgav1 is an AV1 decoder developed by Google for AV1 profile 0/1 compliance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is Betterlibgav1 0.17Video Input: Summer Nature 4KRyzen 5 55005500AMD 5500AMD Ryzen 5500Ryzen 5500AMD 5500 Ryzen53700X B3700X ABA1530456075SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 367.6767.5967.4367.2366.0565.9665.9554.8053.9538.7038.531. (CXX) g++ options: -O3 -lrt

Facebook RocksDB

This is a benchmark of Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 7.0.1Test: Update Random3700X B3700X AAMD Ryzen 5500Ryzen 5 55005500AMD 5500AMD 5500 Ryzen5Ryzen 5500BA90K180K270K360K450KSE +/- 342.36, N = 3SE +/- 1101.30, N = 3SE +/- 1064.07, N = 3SE +/- 1584.96, N = 34360404335554173524166894166854144713059463048283042372978962945521. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 7.0.1Test: Read Random Write Random3700X B3700X ARyzen 5 55005500AMD Ryzen 5500AMD 5500Ryzen 55005AMD 5500 RyzenAB300K600K900K1200K1500KSE +/- 4513.97, N = 3SE +/- 1020.08, N = 3SE +/- 6514.36, N = 3SE +/- 2995.64, N = 3149864014928951283737128000212660091258727118254111806891178930106964110556361. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 7.0.1Test: Random Read3700X A5500Ryzen 5 5500AMD 5500AMD Ryzen 55003700X B5Ryzen 5500AMD 5500 RyzenAB9M18M27M36M45MSE +/- 127162.37, N = 3SE +/- 37115.13, N = 3SE +/- 92503.06, N = 3SE +/- 115264.84, N = 343558240417906194158871841524535413912184120763139615744394549053937479933529527327991001. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

libgav1

Libgav1 is an AV1 decoder developed by Google for AV1 profile 0/1 compliance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is Betterlibgav1 0.17Video Input: Chimera 1080pRyzen 5 5500AMD 55005500AMD Ryzen 55005Ryzen 5500AMD 5500 Ryzen3700X BAB3700X A50100150200250SE +/- 0.68, N = 3SE +/- 0.80, N = 3SE +/- 0.48, N = 3SE +/- 0.96, N = 3227.32226.11225.66224.59219.77219.57219.35130.4683.0982.9540.691. (CXX) g++ options: -O3 -lrt

Timed MPlayer Compilation

This test times how long it takes to build the MPlayer open-source media player program. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MPlayer Compilation 1.5Time To Compile3700X A3700X B5500AMD 5500Ryzen 5 5500AMD Ryzen 55005AMD 5500 RyzenRyzen 5500BA1224364860SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.11, N = 3SE +/- 0.14, N = 334.8034.8547.4047.5447.5547.6449.9950.0050.0653.3853.39

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 Intel oneAPI. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU3700X B5500AMD Ryzen 5500AMD 55003700X ARyzen 5 5500BARyzen 5500AMD 5500 Ryzen548121620SE +/- 0.12053, N = 15SE +/- 0.01859, N = 3SE +/- 0.12220, N = 3SE +/- 0.16356, N = 37.321719.118229.344659.649509.8345810.1623012.1864012.1960016.8571016.9258017.19680MIN: 5.96MIN: 7.57MIN: 7.55MIN: 7.59MIN: 6.92MIN: 7.56MIN: 11.33MIN: 11.32MIN: 7.89MIN: 7.75MIN: 7.931. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

AOM AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.3Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p3700X B3700X A5500Ryzen 5 5500AMD 5500AMD Ryzen 5500AMD 5500 RyzenRyzen 55005BA612182430SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 324.7224.3923.8223.7623.7323.5922.5822.5422.4713.9413.891. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

Memtier_benchmark

Memtier_benchmark is a NoSQL Redis/Memcache traffic generation plus benchmarking tool. This current test profile currently just stresses the Redis protocol and basic options exposed wotj a 1:1 Set/Get ratio, 30 pipeline, 100 clients per thread, and thread count equal to the number of CPU cores/threads present. Patches to extend the test are welcome as always. Currently this test profile uses Memtier_benchmark 1.3 and Redis 6. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps/sec, More Is BetterMemtier_benchmark 1.3Protocol: Redis3700X A3700X BAB400K800K1200K1600K2000K1992753.151983861.941585870.601534641.721. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

Protocol: Redis

Ryzen 5 5500: The test run did not produce a result.

5500: The test run did not produce a result.

AMD 5500: The test run did not produce a result.

AMD Ryzen 5500: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

Ryzen 5500: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

AMD 5500 Ryzen: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

5: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

AOM AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.3Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K5500AMD Ryzen 5500Ryzen 5 5500AMD 5500AMD 5500 Ryzen5Ryzen 55003700X AA3700X BB1224364860SE +/- 0.14, N = 3SE +/- 0.46, N = 7SE +/- 0.38, N = 10SE +/- 0.61, N = 453.2152.2552.1452.0750.2749.5149.2239.8338.7137.5934.961. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

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 Intel oneAPI. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPURyzen 5 55005500AMD 5500AMD Ryzen 55003700X A3700X BAMD 5500 Ryzen5Ryzen 5500AB246810SE +/- 0.00722, N = 3SE +/- 0.00495, N = 3SE +/- 0.00352, N = 3SE +/- 0.01376, N = 32.532442.533072.536022.551483.561733.570665.023445.029655.057718.514738.51685MIN: 2.49MIN: 2.5MIN: 2.49MIN: 2.5MIN: 3.44MIN: 3.45MIN: 2.49MIN: 2.49MIN: 2.49MIN: 8.17MIN: 8.181. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

AOM AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.3Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K5500AMD Ryzen 5500Ryzen 5 5500AMD 5500AMD 5500 RyzenRyzen 550053700X B3700X ABA816243240SE +/- 0.06, N = 3SE +/- 0.09, N = 3SE +/- 0.04, N = 3SE +/- 0.18, N = 336.0335.7935.7835.4234.5234.0033.9629.5129.0425.5025.441. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.3Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K5500AMD Ryzen 5500AMD 5500Ryzen 5 5500AMD 5500 RyzenRyzen 550053700X ABA3700X B1122334455SE +/- 0.05, N = 3SE +/- 0.45, N = 7SE +/- 0.06, N = 3SE +/- 0.37, N = 350.5449.9249.4049.3247.9947.7247.2837.2536.5936.4336.041. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

libgav1

Libgav1 is an AV1 decoder developed by Google for AV1 profile 0/1 compliance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is Betterlibgav1 0.17Video Input: Summer Nature 1080pRyzen 5 5500AMD 55005500AMD Ryzen 5500Ryzen 5500AMD 5500 Ryzen53700X B3700X AAB60120180240300SE +/- 0.45, N = 3SE +/- 0.21, N = 3SE +/- 0.23, N = 3SE +/- 0.28, N = 3271.34270.00269.70269.65263.48263.47262.56157.80157.22107.26106.531. (CXX) g++ options: -O3 -lrt

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 Intel oneAPI. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: IP Shapes 1D - Data Type: f32 - Engine: CPUAMD Ryzen 5500Ryzen 5 5500AMD 550055003700X A3700X BAB5AMD 5500 RyzenRyzen 5500246810SE +/- 0.04213, N = 3SE +/- 0.11764, N = 3SE +/- 0.06511, N = 3SE +/- 0.08920, N = 34.899444.910774.915914.943705.321225.343697.850227.859168.364108.400668.53389MIN: 4.53MIN: 4.66MIN: 4.69MIN: 4.73MIN: 5.21MIN: 5.24MIN: 7.22MIN: 7.22MIN: 4.74MIN: 4.73MIN: 4.741. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPUAMD 5500Ryzen 5 55005500AMD Ryzen 55003700X A3700X B5Ryzen 5500AMD 5500 RyzenBA246810SE +/- 0.00906, N = 3SE +/- 0.01358, N = 3SE +/- 0.04025, N = 3SE +/- 0.01277, N = 31.768861.769911.773161.790872.482362.485793.476443.569193.593526.756466.75967MIN: 1.74MIN: 1.74MIN: 1.75MIN: 1.74MIN: 2.44MIN: 2.44MIN: 1.75MIN: 1.76MIN: 1.75MIN: 6.38MIN: 6.371. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

Parallel BZIP2 Compression

This test measures the time needed to compress a file (FreeBSD-13.0-RELEASE-amd64-memstick.img) using Parallel BZIP2 compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterParallel BZIP2 Compression 1.1.13FreeBSD-13.0-RELEASE-amd64-memstick.img Compression3700X B3700X AAMD Ryzen 5500AMD 5500Ryzen 5 550055005AMD 5500 RyzenRyzen 5500AB714212835SE +/- 0.048, N = 3SE +/- 0.088, N = 3SE +/- 0.121, N = 3SE +/- 0.157, N = 39.4349.54710.36710.59710.61410.66211.02111.10011.10329.93930.4891. (CXX) g++ options: -O2 -pthread -lbz2 -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 Intel oneAPI. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPUAMD 55005500Ryzen 5 5500AMD Ryzen 55003700X B3700X ABAAMD 5500 RyzenRyzen 55005246810SE +/- 0.01220, N = 3SE +/- 0.05252, N = 3SE +/- 0.01506, N = 3SE +/- 0.01173, N = 34.569974.603484.623994.639314.957565.038955.167305.674487.555367.587017.61555MIN: 4.5MIN: 4.48MIN: 4.54MIN: 4.47MIN: 4.82MIN: 4.9MIN: 4.72MIN: 5.2MIN: 4.5MIN: 4.6MIN: 4.591. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU3700X B3700X A5500AMD 5500AMD Ryzen 5500Ryzen 5 5500BA5AMD 5500 RyzenRyzen 55000.95111.90222.85333.80444.7555SE +/- 0.00586, N = 3SE +/- 0.01571, N = 3SE +/- 0.05281, N = 3SE +/- 0.00621, N = 31.253571.267641.856571.868741.894071.940833.420893.538644.211324.213374.22725MIN: 1.14MIN: 1.17MIN: 1.81MIN: 1.82MIN: 1.81MIN: 1.87MIN: 3.03MIN: 3.11MIN: 1.83MIN: 1.83MIN: 1.831. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

AOM AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.3Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p5500Ryzen 5 5500AMD Ryzen 5500AMD 5500AMD 5500 RyzenRyzen 550053700X A3700X BAB20406080100SE +/- 0.25, N = 3SE +/- 0.07, N = 3SE +/- 0.65, N = 12SE +/- 0.51, N = 399.5499.1397.8496.9995.3693.6393.5781.7581.5554.0551.161. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.3Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p55500Ryzen 5 5500AMD 5500AMD Ryzen 5500AMD 5500 RyzenRyzen 55003700X B3700X ABA306090120150SE +/- 2.42, N = 15SE +/- 1.00, N = 3SE +/- 1.35, N = 3SE +/- 1.14, N = 6121.25120.65119.18116.84116.33114.74114.53104.14103.8865.1962.651. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

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 Intel oneAPI. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: IP Shapes 3D - Data Type: f32 - Engine: CPUBA3700X B3700X A5500AMD 5500AMD Ryzen 5500Ryzen 5 5500AMD 5500 Ryzen5Ryzen 55003691215SE +/- 0.03405, N = 3SE +/- 0.03934, N = 3SE +/- 0.14174, N = 3SE +/- 0.05708, N = 39.507939.5553010.5956010.7170011.3159011.5747011.5976011.9978012.7604013.5157013.53060MIN: 9.02MIN: 9MIN: 10.32MIN: 10.5MIN: 11.18MIN: 11.53MIN: 11.43MIN: 11.96MIN: 10.98MIN: 11.88MIN: 11.931. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPUB3700X B3700X A5500AAMD 5500AMD Ryzen 5500Ryzen 5 5500AMD 5500 Ryzen5Ryzen 55000.77391.54782.32173.09563.8695SE +/- 0.01037, N = 3SE +/- 0.03331, N = 3SE +/- 0.04816, N = 3SE +/- 0.04774, N = 32.284282.606082.639792.917152.954853.034723.049653.136643.234043.428763.43973MIN: 1.97MIN: 2.57MIN: 2.6MIN: 2.85MIN: 2.52MIN: 2.99MIN: 2.86MIN: 2.97MIN: 2.85MIN: 3.01MIN: 2.971. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU5500AMD 5500AMD Ryzen 5500Ryzen 5 55003700X B3700X ABAAMD 5500 Ryzen5Ryzen 5500612182430SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.11, N = 321.6421.8121.8322.0323.0923.1024.0924.3924.3924.9725.01MIN: 21.36MIN: 21.44MIN: 21.42MIN: 21.62MIN: 22.89MIN: 22.85MIN: 23.05MIN: 23.23MIN: 21.06MIN: 21.61MIN: 21.641. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU3700X B3700X A5500AMD Ryzen 5500Ryzen 5 5500AMD 5500BAAMD 5500 Ryzen5Ryzen 5500612182430SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.12, N = 3SE +/- 0.08, N = 321.4921.6921.9922.5122.6222.6224.0924.5726.3727.1927.21MIN: 21.38MIN: 21.6MIN: 21.36MIN: 21.9MIN: 22.11MIN: 22.35MIN: 23.11MIN: 23.58MIN: 22.09MIN: 23.03MIN: 23.081. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

AOM AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.3Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p5500Ryzen 5 5500AMD Ryzen 5500AMD 5500AMD 5500 RyzenRyzen 550053700X A3700X BBA306090120150SE +/- 0.16, N = 3SE +/- 0.85, N = 3SE +/- 0.22, N = 3SE +/- 1.11, N = 3124.66123.68122.84122.42119.08116.84116.51115.03114.8073.5773.431. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

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 Intel oneAPI. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPURyzen 5 5500AMD 55005500AMD Ryzen 55003700X B3700X ARyzen 5500AMD 5500 Ryzen5AB3691215SE +/- 0.01929, N = 3SE +/- 0.08866, N = 4SE +/- 0.05997, N = 9SE +/- 0.06092, N = 34.206974.227004.233824.291944.574714.608407.139617.228457.2291611.2032011.20990MIN: 4.04MIN: 4.14MIN: 4.13MIN: 4.06MIN: 4.45MIN: 4.49MIN: 4.13MIN: 4.09MIN: 4.08MIN: 11.1MIN: 11.091. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU3700X A3700X BAMD 5500Ryzen 5 55005500AMD Ryzen 5500Ryzen 55005AMD 5500 RyzenBA48121620SE +/- 0.07837, N = 3SE +/- 0.16803, N = 3SE +/- 0.10753, N = 3SE +/- 0.02729, N = 36.794576.799858.988869.000599.002449.1224712.3035012.6476012.6999014.3441014.34950MIN: 6.72MIN: 6.72MIN: 8.79MIN: 8.85MIN: 8.84MIN: 8.8MIN: 8.81MIN: 8.81MIN: 8.82MIN: 14.08MIN: 14.021. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU

A: The test run did not produce a result.

B: The test run did not produce a result.

3700X A: The test run did not produce a result.

3700X B: The test run did not produce a result.

Ryzen 5 5500: The test run did not produce a result.

5500: The test run did not produce a result.

AMD 5500: The test run did not produce a result.

AMD Ryzen 5500: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

Ryzen 5500: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

AMD 5500 Ryzen: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

5: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU

A: The test run did not produce a result.

B: The test run did not produce a result.

3700X A: The test run did not produce a result.

3700X B: The test run did not produce a result.

Ryzen 5 5500: The test run did not produce a result.

5500: The test run did not produce a result.

AMD 5500: The test run did not produce a result.

AMD Ryzen 5500: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

Ryzen 5500: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

AMD 5500 Ryzen: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

5: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU

A: The test run did not produce a result.

B: The test run did not produce a result.

3700X A: The test run did not produce a result.

3700X B: The test run did not produce a result.

Ryzen 5 5500: The test run did not produce a result.

5500: The test run did not produce a result.

AMD 5500: The test run did not produce a result.

AMD Ryzen 5500: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

Ryzen 5500: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

AMD 5500 Ryzen: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

5: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU

A: The test run did not produce a result.

B: The test run did not produce a result.

3700X A: The test run did not produce a result.

3700X B: The test run did not produce a result.

Ryzen 5 5500: The test run did not produce a result.

5500: The test run did not produce a result.

AMD 5500: The test run did not produce a result.

AMD Ryzen 5500: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

Ryzen 5500: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

AMD 5500 Ryzen: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

5: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU

A: The test run did not produce a result.

B: The test run did not produce a result.

3700X A: The test run did not produce a result.

3700X B: The test run did not produce a result.

Ryzen 5 5500: The test run did not produce a result.

5500: The test run did not produce a result.

AMD 5500: The test run did not produce a result.

AMD Ryzen 5500: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

Ryzen 5500: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

AMD 5500 Ryzen: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

5: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU

A: The test run did not produce a result.

B: The test run did not produce a result.

3700X A: The test run did not produce a result.

3700X B: The test run did not produce a result.

Ryzen 5 5500: The test run did not produce a result.

5500: The test run did not produce a result.

AMD 5500: The test run did not produce a result.

AMD Ryzen 5500: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

Ryzen 5500: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

AMD 5500 Ryzen: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

5: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

54 Results Shown

OSPray Studio
libgav1
OSPray Studio:
  2 - 1080p - 32 - Path Tracer
  1 - 1080p - 32 - Path Tracer
  3 - 1080p - 1 - Path Tracer
  2 - 1080p - 1 - Path Tracer
  1 - 1080p - 1 - Path Tracer
ONNX Runtime:
  super-resolution-10 - CPU
  ArcFace ResNet-100 - CPU
  fcn-resnet101-11 - CPU
  GPT-2 - CPU
  bertsquad-12 - CPU
  yolov4 - CPU
Facebook RocksDB
AOM AV1
oneDNN:
  Recurrent Neural Network Inference - u8s8f32 - CPU
  Recurrent Neural Network Inference - f32 - CPU
OSPray Studio
oneDNN:
  Recurrent Neural Network Training - u8s8f32 - CPU
  Recurrent Neural Network Training - f32 - CPU
  Recurrent Neural Network Training - bf16bf16bf16 - CPU
OSPray Studio:
  2 - 1080p - 16 - Path Tracer
  1 - 1080p - 16 - Path Tracer
oneDNN
AOM AV1:
  Speed 6 Realtime - Bosphorus 1080p
  Speed 6 Realtime - Bosphorus 4K
libgav1
Facebook RocksDB:
  Update Rand
  Read Rand Write Rand
  Rand Read
libgav1
Timed MPlayer Compilation
oneDNN
AOM AV1
Memtier_benchmark
AOM AV1
oneDNN
AOM AV1:
  Speed 8 Realtime - Bosphorus 4K
  Speed 9 Realtime - Bosphorus 4K
libgav1
oneDNN:
  IP Shapes 1D - f32 - CPU
  IP Shapes 1D - u8s8f32 - CPU
Parallel BZIP2 Compression
oneDNN:
  Matrix Multiply Batch Shapes Transformer - f32 - CPU
  Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPU
AOM AV1:
  Speed 8 Realtime - Bosphorus 1080p
  Speed 9 Realtime - Bosphorus 1080p
oneDNN:
  IP Shapes 3D - f32 - CPU
  IP Shapes 3D - u8s8f32 - CPU
  Convolution Batch Shapes Auto - f32 - CPU
  Convolution Batch Shapes Auto - u8s8f32 - CPU
AOM AV1
oneDNN:
  Deconvolution Batch shapes_3d - u8s8f32 - CPU
  Deconvolution Batch shapes_3d - f32 - CPU