onednn y 3990X

AMD Ryzen Threadripper 3990X 64-Core testing with a Gigabyte TRX40 AORUS PRO WIFI (F4p BIOS) and AMD Radeon RX 5700 8GB on Ubuntu 22.10 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 2209285-PTS-ONEDNNY340
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

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
Hide
Result
Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
A
September 28 2022
  17 Minutes
B
September 28 2022
  17 Minutes
C
September 28 2022
  17 Minutes
Invert Hiding All Results Option
  17 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):


{ "title": "onednn y 3990X", "last_modified": "2022-09-28 17:10:04", "description": "AMD Ryzen Threadripper 3990X 64-Core testing with a Gigabyte TRX40 AORUS PRO WIFI (F4p BIOS) and AMD Radeon RX 5700 8GB on Ubuntu 22.10 via the Phoronix Test Suite.", "systems": { "A": { "identifier": "A", "hardware": { "Processor": "AMD Ryzen Threadripper 3990X 64-Core @ 2.90GHz (64 Cores \/ 128 Threads)", "Motherboard": "Gigabyte TRX40 AORUS PRO WIFI (F4p BIOS)", "Chipset": "AMD Starship\/Matisse", "Memory": "128GB", "Disk": "Samsung SSD 970 EVO Plus 500GB", "Graphics": "AMD Radeon RX 5700 8GB (1750\/875MHz)", "Audio": "AMD Navi 10 HDMI Audio", "Monitor": "DELL P2415Q", "Network": "Intel I211 + Intel Wi-Fi 6 AX200" }, "software": { "OS": "Ubuntu 22.10", "Kernel": "6.0.0-060000rc7daily20220927-generic (x86_64)", "Desktop": "GNOME Shell", "Display Server": "X Server 1.21.1.3 + Wayland", "OpenGL": "4.6 Mesa 22.1.7 (LLVM 14.0.6 DRM 3.48)", "Vulkan": "1.3.211", "Compiler": "GCC 12.2.0", "File-System": "ext4", "Screen Resolution": "3840x2160" }, "user": "pts", "timestamp": "2022-09-28 15:51:43", "client_version": "10.8.4", "data": { "compiler-configuration": "--build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=\/build\/gcc-12-Wbc0TK\/gcc-12-12.2.0\/debian\/tmp-nvptx\/usr,amdgcn-amdhsa=\/build\/gcc-12-Wbc0TK\/gcc-12-12.2.0\/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-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", "cpu-scaling-governor": "acpi-cpufreq schedutil (Boost: Enabled)", "cpu-microcode": "0x8301055", "kernel-extra-details": "Transparent Huge Pages: madvise", "security": "itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Mitigation of untrained return thunk; SMT enabled with STIBP protection + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy\/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected" } }, "B": { "identifier": "B", "hardware": { "Processor": "AMD Ryzen Threadripper 3990X 64-Core @ 2.90GHz (64 Cores \/ 128 Threads)", "Motherboard": "Gigabyte TRX40 AORUS PRO WIFI (F4p BIOS)", "Chipset": "AMD Starship\/Matisse", "Memory": "128GB", "Disk": "Samsung SSD 970 EVO Plus 500GB", "Graphics": "AMD Radeon RX 5700 8GB (1750\/875MHz)", "Audio": "AMD Navi 10 HDMI Audio", "Monitor": "DELL P2415Q", "Network": "Intel I211 + Intel Wi-Fi 6 AX200" }, "software": { "OS": "Ubuntu 22.10", "Kernel": "6.0.0-060000rc7daily20220927-generic (x86_64)", "Desktop": "GNOME Shell", "Display Server": "X Server 1.21.1.3 + Wayland", "OpenGL": "4.6 Mesa 22.1.7 (LLVM 14.0.6 DRM 3.48)", "Vulkan": "1.3.211", "Compiler": "GCC 12.2.0", "File-System": "ext4", "Screen Resolution": "3840x2160" }, "user": "pts", "timestamp": "2022-09-28 16:17:29", "client_version": "10.8.4", "data": { "compiler-configuration": "--build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=\/build\/gcc-12-Wbc0TK\/gcc-12-12.2.0\/debian\/tmp-nvptx\/usr,amdgcn-amdhsa=\/build\/gcc-12-Wbc0TK\/gcc-12-12.2.0\/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-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", "cpu-scaling-governor": "acpi-cpufreq schedutil (Boost: Enabled)", "cpu-microcode": "0x8301055", "kernel-extra-details": "Transparent Huge Pages: madvise", "security": "itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Mitigation of untrained return thunk; SMT enabled with STIBP protection + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy\/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected" } }, "C": { "identifier": "C", "hardware": { "Processor": "AMD Ryzen Threadripper 3990X 64-Core @ 2.90GHz (64 Cores \/ 128 Threads)", "Motherboard": "Gigabyte TRX40 AORUS PRO WIFI (F4p BIOS)", "Chipset": "AMD Starship\/Matisse", "Memory": "128GB", "Disk": "Samsung SSD 970 EVO Plus 500GB", "Graphics": "AMD Radeon RX 5700 8GB (1750\/875MHz)", "Audio": "AMD Navi 10 HDMI Audio", "Monitor": "DELL P2415Q", "Network": "Intel I211 + Intel Wi-Fi 6 AX200" }, "software": { "OS": "Ubuntu 22.10", "Kernel": "6.0.0-060000rc7daily20220927-generic (x86_64)", "Desktop": "GNOME Shell", "Display Server": "X Server 1.21.1.3 + Wayland", "OpenGL": "4.6 Mesa 22.1.7 (LLVM 14.0.6 DRM 3.48)", "Vulkan": "1.3.211", "Compiler": "GCC 12.2.0", "File-System": "ext4", "Screen Resolution": "3840x2160" }, "user": "pts", "timestamp": "2022-09-28 16:48:45", "client_version": "10.8.4", "data": { "compiler-configuration": "--build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=\/build\/gcc-12-Wbc0TK\/gcc-12-12.2.0\/debian\/tmp-nvptx\/usr,amdgcn-amdhsa=\/build\/gcc-12-Wbc0TK\/gcc-12-12.2.0\/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-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", "cpu-scaling-governor": "acpi-cpufreq schedutil (Boost: Enabled)", "cpu-microcode": "0x8301055", "kernel-extra-details": "Transparent Huge Pages: madvise", "security": "itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Mitigation of untrained return thunk; SMT enabled with STIBP protection + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy\/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected" } } }, "results": { "5a79b49ff12c85576d75088371930b33cbe84dc8": { "identifier": "pts\/onednn-2.7.0", "title": "oneDNN", "app_version": "2.7", "arguments": "--matmul --batch=inputs\/matmul\/shapes_transformer --cfg=f32 --engine=cpu", "description": "Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "A": { "value": 6.600410000000000110276232589967548847198486328125, "min_result": [ "6.35" ], "test_run_times": [ 12.1699999999999999289457264239899814128875732421875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } }, "B": { "value": 6.25739000000000000767386154620908200740814208984375, "min_result": [ "6.01" ], "test_run_times": [ 12.17999999999999971578290569595992565155029296875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } }, "C": { "value": 10.2739999999999991331378623726777732372283935546875, "min_result": [ "9.98" ], "test_run_times": [ 12.17999999999999971578290569595992565155029296875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } } } }, "e7950bd1bb6677b2a141c14d0568a4cf2ac84cf0": { "identifier": "pts\/onednn-2.7.0", "title": "oneDNN", "app_version": "2.7", "arguments": "--ip --batch=inputs\/ip\/shapes_1d --cfg=f32 --engine=cpu", "description": "Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "A": { "value": 2.4610500000000001818989403545856475830078125, "min_result": [ "2.06" ], "test_run_times": [ 15.1199999999999992184029906638897955417633056640625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } }, "B": { "value": 1.6129100000000000658673116049612872302532196044921875, "min_result": [ "1.41" ], "test_run_times": [ 15.1199999999999992184029906638897955417633056640625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } }, "C": { "value": 1.6416299999999999226218960757250897586345672607421875, "min_result": [ "1.44" ], "test_run_times": [ 15.1199999999999992184029906638897955417633056640625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } } } }, "64e28d73ddb9c037fbcd2bdefd6a076ca6ea483d": { "identifier": "pts\/onednn-2.7.0", "title": "oneDNN", "app_version": "2.7", "arguments": "--ip --batch=inputs\/ip\/shapes_1d --cfg=u8s8f32 --engine=cpu", "description": "Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "A": { "value": 3.325559999999999849507048566010780632495880126953125, "min_result": [ "2.29" ], "test_run_times": [ 15.0800000000000000710542735760100185871124267578125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } }, "B": { "value": 2.364970000000000016626700016786344349384307861328125, "min_result": [ "1.88" ], "test_run_times": [ 15.0800000000000000710542735760100185871124267578125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } }, "C": { "value": 3.582969999999999988204990586382336914539337158203125, "min_result": [ "2.61" ], "test_run_times": [ 15.089999999999999857891452847979962825775146484375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } } } }, "c69fc3bafb5fac4043984e2c27b168868a47f144": { "identifier": "pts\/onednn-2.7.0", "title": "oneDNN", "app_version": "2.7", "arguments": "--conv --batch=inputs\/conv\/shapes_auto --cfg=f32 --engine=cpu", "description": "Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "A": { "value": 0.9639379999999999615312162859481759369373321533203125, "min_result": [ "0.89" ], "test_run_times": [ 6.230000000000000426325641456060111522674560546875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } }, "B": { "value": 0.8505279999999999507309667023946531116962432861328125, "min_result": [ "0.81" ], "test_run_times": [ 6.21999999999999975131004248396493494510650634765625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } }, "C": { "value": 0.94863299999999994849275708475033752620220184326171875, "min_result": [ "0.89" ], "test_run_times": [ 6.2400000000000002131628207280300557613372802734375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } } } }, "764d6bddd750d041b5f9cb59f81b14792e4ceb67": { "identifier": "pts\/onednn-2.7.0", "title": "oneDNN", "app_version": "2.7", "arguments": "--deconv --batch=inputs\/deconv\/shapes_1d --cfg=u8s8f32 --engine=cpu", "description": "Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "A": { "value": 1.7832600000000000672883970764814876019954681396484375, "min_result": [ "1.54" ], "test_run_times": [ 21.059999999999998721023075631819665431976318359375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } }, "B": { "value": 1.870719999999999938466999083175323903560638427734375, "min_result": [ "1.64" ], "test_run_times": [ 21.059999999999998721023075631819665431976318359375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } }, "C": { "value": 1.9253899999999999348432311307988129556179046630859375, "min_result": [ "1.58" ], "test_run_times": [ 21.059999999999998721023075631819665431976318359375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } } } }, "19c0f94696383c3cc8cd15117db11ee0d7bb7a10": { "identifier": "pts\/onednn-2.7.0", "title": "oneDNN", "app_version": "2.7", "arguments": "--deconv --batch=inputs\/deconv\/shapes_1d --cfg=f32 --engine=cpu", "description": "Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "A": { "value": 8.8499700000000007804601409588940441608428955078125, "min_result": [ "6.87" ], "test_run_times": [ 21.120000000000000994759830064140260219573974609375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } }, "B": { "value": 9.04081000000000045702108764089643955230712890625, "min_result": [ "7.43" ], "test_run_times": [ 21.1099999999999994315658113919198513031005859375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } }, "C": { "value": 8.420609999999999928377292235381901264190673828125, "min_result": [ "7.12" ], "test_run_times": [ 21.1099999999999994315658113919198513031005859375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } } } }, "5dabdccc7bd6e572ccb40a01a9974c8a4438982e": { "identifier": "pts\/onednn-2.7.0", "title": "oneDNN", "app_version": "2.7", "arguments": "--matmul --batch=inputs\/matmul\/shapes_transformer --cfg=u8s8f32 --engine=cpu", "description": "Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "A": { "value": 14.355399999999999494093572138808667659759521484375, "min_result": [ "13.65" ], "test_run_times": [ 12.1500000000000003552713678800500929355621337890625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } }, "B": { "value": 14.3408999999999995367261362844146788120269775390625, "min_result": [ "13.83" ], "test_run_times": [ 12.1699999999999999289457264239899814128875732421875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } }, "C": { "value": 13.4715000000000006963318810448981821537017822265625, "min_result": [ "12.66" ], "test_run_times": [ 12.1500000000000003552713678800500929355621337890625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } } } }, "0cf63588369ab6354860ceceb7d5f9f8aed60b3f": { "identifier": "pts\/onednn-2.7.0", "title": "oneDNN", "app_version": "2.7", "arguments": "--rnn --batch=inputs\/rnn\/perf_rnn_inference_lb --cfg=f32 --engine=cpu", "description": "Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "A": { "value": 1290.420000000000072759576141834259033203125, "min_result": [ "1257.52" ], "test_run_times": [ 76.18000000000000682121026329696178436279296875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } }, "B": { "value": 1252.430000000000063664629124104976654052734375, "min_result": [ "1220.99" ], "test_run_times": [ 76.25 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } }, "C": { "value": 1329.450000000000045474735088646411895751953125, "min_result": [ "1292.26" ], "test_run_times": [ 76.340000000000003410605131648480892181396484375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } } } }, "59d664e95c436df82004b13398e98833f9d47937": { "identifier": "pts\/onednn-2.7.0", "title": "oneDNN", "app_version": "2.7", "arguments": "--rnn --batch=inputs\/rnn\/perf_rnn_inference_lb --cfg=bf16bf16bf16 --engine=cpu", "description": "Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "A": { "value": 1311.30999999999994543031789362430572509765625, "min_result": [ "1280.37" ], "test_run_times": [ 76.5799999999999982946974341757595539093017578125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } }, "B": { "value": 1269.6199999999998908606357872486114501953125, "min_result": [ "1241.95" ], "test_run_times": [ 76.349999999999994315658113919198513031005859375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } }, "C": { "value": 1262.25, "min_result": [ "1236.18" ], "test_run_times": [ 76.68999999999999772626324556767940521240234375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } } } }, "315a6994e5fbf1179d63561d5954cf8ffe53c694": { "identifier": "pts\/onednn-2.7.0", "title": "oneDNN", "app_version": "2.7", "arguments": "--rnn --batch=inputs\/rnn\/perf_rnn_inference_lb --cfg=u8s8f32 --engine=cpu", "description": "Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "A": { "value": 1261.589999999999918145476840436458587646484375, "min_result": [ "1232.39" ], "test_run_times": [ 76.2900000000000062527760746888816356658935546875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } }, "B": { "value": 1242.98000000000001818989403545856475830078125, "min_result": [ "1218.38" ], "test_run_times": [ 76.2000000000000028421709430404007434844970703125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } }, "C": { "value": 1284.3800000000001091393642127513885498046875, "min_result": [ "1250.24" ], "test_run_times": [ 76.409999999999996589394868351519107818603515625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } } } }, "d30c554cf7d4e69400a297853e8bafb4865124a1": { "identifier": "pts\/onednn-2.7.0", "title": "oneDNN", "app_version": "2.7", "arguments": "--deconv --batch=inputs\/deconv\/shapes_3d --cfg=u8s8f32 --engine=cpu", "description": "Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "A": { "value": 0.972299000000000024357404981856234371662139892578125, "min_result": [ "0.92" ], "test_run_times": [ 3.04000000000000003552713678800500929355621337890625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } }, "B": { "value": 0.99659299999999995112176520706270821392536163330078125, "min_result": [ "0.93" ], "test_run_times": [ 3.04000000000000003552713678800500929355621337890625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } }, "C": { "value": 0.9840299999999999602806610710103996098041534423828125, "min_result": [ "0.93" ], "test_run_times": [ 3.04000000000000003552713678800500929355621337890625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } } } }, "4e75b12f3b68e3f22d2af814ef44f1b7b675e37b": { "identifier": "pts\/onednn-2.7.0", "title": "oneDNN", "app_version": "2.7", "arguments": "--rnn --batch=inputs\/rnn\/perf_rnn_training --cfg=u8s8f32 --engine=cpu", "description": "Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "A": { "value": 5170.5600000000004001776687800884246826171875, "min_result": [ "5113.2" ], "test_run_times": [ 90.340000000000003410605131648480892181396484375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } }, "B": { "value": 5089.1400000000003274180926382541656494140625, "min_result": [ "5032.11" ], "test_run_times": [ 90.43999999999999772626324556767940521240234375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } }, "C": { "value": 5096.850000000000363797880709171295166015625, "min_result": [ "5046.62" ], "test_run_times": [ 90.25 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } } } }, "d91ac58f52f19bd268ef263674247674109abe02": { "identifier": "pts\/onednn-2.7.0", "title": "oneDNN", "app_version": "2.7", "arguments": "--ip --batch=inputs\/ip\/shapes_3d --cfg=f32 --engine=cpu", "description": "Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "A": { "value": 5.34788999999999958845364744774997234344482421875, "min_result": [ "5.14" ], "test_run_times": [ 9.25 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } }, "B": { "value": 5.316810000000000258069121628068387508392333984375, "min_result": [ "5.12" ], "test_run_times": [ 9.230000000000000426325641456060111522674560546875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } }, "C": { "value": 5.3567499999999999005240169935859739780426025390625, "min_result": [ "5.16" ], "test_run_times": [ 9.2400000000000002131628207280300557613372802734375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } } } }, "7da95de2fc5e47d5258332c05697cd42513b6fe1": { "identifier": "pts\/onednn-2.7.0", "title": "oneDNN", "app_version": "2.7", "arguments": "--ip --batch=inputs\/ip\/shapes_3d --cfg=u8s8f32 --engine=cpu", "description": "Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "A": { "value": 1.1114100000000000090238927441532723605632781982421875, "min_result": [ "1.02" ], "test_run_times": [ 9.160000000000000142108547152020037174224853515625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } }, "B": { "value": 1.10315999999999991842969393474049866199493408203125, "min_result": [ "1.01" ], "test_run_times": [ 9.160000000000000142108547152020037174224853515625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } }, "C": { "value": 1.1083400000000001028865881380625069141387939453125, "min_result": [ "1.02" ], "test_run_times": [ 9.160000000000000142108547152020037174224853515625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } } } }, "f9d9888b234c3d1e2cc5e5102421207b3ce04c55": { "identifier": "pts\/onednn-2.7.0", "title": "oneDNN", "app_version": "2.7", "arguments": "--rnn --batch=inputs\/rnn\/perf_rnn_training --cfg=f32 --engine=cpu", "description": "Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "A": { "value": 5099.3900000000003274180926382541656494140625, "min_result": [ "5042.36" ], "test_run_times": [ 90.159999999999996589394868351519107818603515625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } }, "B": { "value": 5075.0500000000001818989403545856475830078125, "min_result": [ "5024.01" ], "test_run_times": [ 90.1200000000000045474735088646411895751953125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } }, "C": { "value": 5065.260000000000218278728425502777099609375, "min_result": [ "5018.58" ], "test_run_times": [ 90.599999999999994315658113919198513031005859375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } } } }, "e62b36d0f7e2eb4fae1ffa143e5c703b01c6f103": { "identifier": "pts\/onednn-2.7.0", "title": "oneDNN", "app_version": "2.7", "arguments": "--deconv --batch=inputs\/deconv\/shapes_3d --cfg=f32 --engine=cpu", "description": "Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "A": { "value": 2.084379999999999899529257163521833717823028564453125, "min_result": [ "2.03" ], "test_run_times": [ 3.04999999999999982236431605997495353221893310546875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } }, "B": { "value": 2.097799999999999887023705014144070446491241455078125, "min_result": [ "2.04" ], "test_run_times": [ 3.060000000000000053290705182007513940334320068359375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } }, "C": { "value": 2.08861000000000007759126674500294029712677001953125, "min_result": [ "2.04" ], "test_run_times": [ 3.04999999999999982236431605997495353221893310546875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } } } }, "2833dea4769979e5dde895eb7db5fafa08420dfb": { "identifier": "pts\/onednn-2.7.0", "title": "oneDNN", "app_version": "2.7", "arguments": "--rnn --batch=inputs\/rnn\/perf_rnn_training --cfg=bf16bf16bf16 --engine=cpu", "description": "Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "A": { "value": 5084.989999999999781721271574497222900390625, "min_result": [ "5029.13" ], "test_run_times": [ 90.2000000000000028421709430404007434844970703125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } }, "B": { "value": 5055.59000000000014551915228366851806640625, "min_result": [ "5000.27" ], "test_run_times": [ 90.4500000000000028421709430404007434844970703125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } }, "C": { "value": 5074.1300000000001091393642127513885498046875, "min_result": [ "5026.36" ], "test_run_times": [ 90.219999999999998863131622783839702606201171875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } } } }, "8a4574555a62d99193730400d231d615fcf6acea": { "identifier": "pts\/onednn-2.7.0", "title": "oneDNN", "app_version": "2.7", "arguments": "--conv --batch=inputs\/conv\/shapes_auto --cfg=u8s8f32 --engine=cpu", "description": "Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "A": { "value": 6.4054500000000000881072992342524230480194091796875, "min_result": [ "6.31" ], "test_run_times": [ 6.20999999999999996447286321199499070644378662109375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } }, "B": { "value": 6.412340000000000372892827726900577545166015625, "min_result": [ "6.31" ], "test_run_times": [ 6.20000000000000017763568394002504646778106689453125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } }, "C": { "value": 6.43984999999999985220711096189916133880615234375, "min_result": [ "6.34" ], "test_run_times": [ 6.17999999999999971578290569595992565155029296875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } } } }, "ae7818692a187655ad0de72a36c9a977c952c1b1": { "identifier": "pts\/y-cruncher-1.2.0", "title": "Y-Cruncher", "app_version": "0.7.10.9513", "arguments": "500m", "description": "Pi Digits To Calculate: 500M", "scale": "Seconds", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "A": { "value": 10.9990000000000005542233338928781449794769287109375, "test_run_times": [ 14.449999999999999289457264239899814128875732421875 ] }, "B": { "value": 10.9719999999999995310417943983338773250579833984375, "test_run_times": [ 14.53999999999999914734871708787977695465087890625 ] }, "C": { "value": 11.0269999999999992468247000942938029766082763671875, "test_run_times": [ 14.53999999999999914734871708787977695465087890625 ] } } }, "44b504041f13420612310e40fbc26f27fbd8822f": { "identifier": "pts\/y-cruncher-1.2.0", "title": "Y-Cruncher", "app_version": "0.7.10.9513", "arguments": "1b", "description": "Pi Digits To Calculate: 1B", "scale": "Seconds", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "A": { "value": 22.6159999999999996589394868351519107818603515625, "test_run_times": [ 26.589999999999999857891452847979962825775146484375 ] }, "B": { "value": 22.530000000000001136868377216160297393798828125, "test_run_times": [ 26.339999999999999857891452847979962825775146484375 ] }, "C": { "value": 22.58899999999999863575794734060764312744140625, "test_run_times": [ 26.3900000000000005684341886080801486968994140625 ] } } }, "8e1dd8777f5535f78605579f9206dc960be82899": { "identifier": "pts\/y-cruncher-1.2.0", "title": "Y-Cruncher", "app_version": "0.7.10.9513", "arguments": "10b", "description": "Pi Digits To Calculate: 10B", "scale": "Seconds", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "A": { "value": 277.63700000000000045474735088646411895751953125, "test_run_times": [ 299.509999999999990905052982270717620849609375 ] }, "B": { "value": 277.5, "test_run_times": [ 299.25 ] }, "C": { "value": 277.874000000000023646862246096134185791015625, "test_run_times": [ 299.779999999999972715158946812152862548828125 ] } } } } }