icelake 31 march

Intel Core i7-1065G7 testing with a Dell 06CDVY (1.0.9 BIOS) and Intel Iris Plus ICL GT2 16GB 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 2304013-NE-ICELAKE3183
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

Limit displaying results to tests within:

CPU Massive 2 Tests
Creator Workloads 2 Tests
Multi-Core 2 Tests
Server CPU Tests 2 Tests

Statistics

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

Graph Settings

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

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
View Logs
Performance Per
Dollar
Date
Run
  Test
  Duration
a
March 31 2023
  4 Hours, 29 Minutes
b
April 01 2023
  1 Hour, 13 Minutes
c
April 01 2023
  1 Hour, 14 Minutes
d
April 01 2023
  1 Hour, 14 Minutes
Invert Hiding All Results Option
  2 Hours, 2 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": "icelake 31 march", "last_modified": "2023-04-01 11:25:32", "description": "Intel Core i7-1065G7 testing with a Dell 06CDVY (1.0.9 BIOS) and Intel Iris Plus ICL GT2 16GB on Ubuntu 22.04 via the Phoronix Test Suite.", "systems": { "a": { "identifier": "a", "hardware": { "Processor": "Intel Core i7-1065G7 @ 3.90GHz (4 Cores \/ 8 Threads)", "Motherboard": "Dell 06CDVY (1.0.9 BIOS)", "Chipset": "Intel Ice Lake-LP DRAM", "Memory": "16GB", "Disk": "Toshiba KBG40ZPZ512G NVMe 512GB", "Graphics": "Intel Iris Plus ICL GT2 16GB (1100MHz)", "Audio": "Realtek ALC289", "Network": "Intel Ice Lake-LP PCH CNVi WiFi" }, "software": { "OS": "Ubuntu 22.04", "Kernel": "5.19.0-38-generic (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": "1920x1200" }, "user": "phoronix", "timestamp": "2023-03-31 21:15:25", "client_version": "10.8.4", "data": { "compiler-configuration": "--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", "cpu-scaling-governor": "intel_pstate powersave (EPP: balance_performance)", "cpu-microcode": "0xb8", "cpu-thermald": "2.4.9", "kernel-extra-details": "Transparent Huge Pages: madvise", "security": "itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Mitigation of Clear buffers; SMT vulnerable + retbleed: Mitigation of Enhanced 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 Enhanced IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Mitigation of Microcode + tsx_async_abort: Not affected" } }, "b": { "identifier": "b", "hardware": { "Processor": "Intel Core i7-1065G7 @ 3.90GHz (4 Cores \/ 8 Threads)", "Motherboard": "Dell 06CDVY (1.0.9 BIOS)", "Chipset": "Intel Ice Lake-LP DRAM", "Memory": "16GB", "Disk": "Toshiba KBG40ZPZ512G NVMe 512GB", "Graphics": "Intel Iris Plus ICL GT2 16GB (1100MHz)", "Audio": "Realtek ALC289", "Network": "Intel Ice Lake-LP PCH CNVi WiFi" }, "software": { "OS": "Ubuntu 22.04", "Kernel": "5.19.0-38-generic (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": "1920x1200" }, "user": "phoronix", "timestamp": "2023-04-01 06:28:23", "client_version": "10.8.4", "data": { "compiler-configuration": "--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", "cpu-scaling-governor": "intel_pstate powersave (EPP: balance_performance)", "cpu-microcode": "0xb8", "cpu-thermald": "2.4.9", "kernel-extra-details": "Transparent Huge Pages: madvise", "security": "itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Mitigation of Clear buffers; SMT vulnerable + retbleed: Mitigation of Enhanced 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 Enhanced IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Mitigation of Microcode + tsx_async_abort: Not affected" } }, "c": { "identifier": "c", "hardware": { "Processor": "Intel Core i7-1065G7 @ 3.90GHz (4 Cores \/ 8 Threads)", "Motherboard": "Dell 06CDVY (1.0.9 BIOS)", "Chipset": "Intel Ice Lake-LP DRAM", "Memory": "16GB", "Disk": "Toshiba KBG40ZPZ512G NVMe 512GB", "Graphics": "Intel Iris Plus ICL GT2 16GB (1100MHz)", "Audio": "Realtek ALC289", "Network": "Intel Ice Lake-LP PCH CNVi WiFi" }, "software": { "OS": "Ubuntu 22.04", "Kernel": "5.19.0-38-generic (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": "1920x1200" }, "user": "phoronix", "timestamp": "2023-04-01 08:14:51", "client_version": "10.8.4", "data": { "compiler-configuration": "--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", "cpu-scaling-governor": "intel_pstate powersave (EPP: balance_performance)", "cpu-microcode": "0xb8", "cpu-thermald": "2.4.9", "kernel-extra-details": "Transparent Huge Pages: madvise", "security": "itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Mitigation of Clear buffers; SMT vulnerable + retbleed: Mitigation of Enhanced 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 Enhanced IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Mitigation of Microcode + tsx_async_abort: Not affected" } }, "d": { "identifier": "d", "hardware": { "Processor": "Intel Core i7-1065G7 @ 3.90GHz (4 Cores \/ 8 Threads)", "Motherboard": "Dell 06CDVY (1.0.9 BIOS)", "Chipset": "Intel Ice Lake-LP DRAM", "Memory": "16GB", "Disk": "Toshiba KBG40ZPZ512G NVMe 512GB", "Graphics": "Intel Iris Plus ICL GT2 16GB (1100MHz)", "Audio": "Realtek ALC289", "Network": "Intel Ice Lake-LP PCH CNVi WiFi" }, "software": { "OS": "Ubuntu 22.04", "Kernel": "5.19.0-38-generic (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": "1920x1200" }, "user": "phoronix", "timestamp": "2023-04-01 09:33:33", "client_version": "10.8.4", "data": { "compiler-configuration": "--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", "cpu-scaling-governor": "intel_pstate powersave (EPP: balance_performance)", "cpu-microcode": "0xb8", "cpu-thermald": "2.4.9", "kernel-extra-details": "Transparent Huge Pages: madvise", "security": "itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Mitigation of Clear buffers; SMT vulnerable + retbleed: Mitigation of Enhanced 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 Enhanced IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Mitigation of Microcode + tsx_async_abort: Not affected" } } }, "results": { "a7144249cdfadcdac424ecf7f6121b2f78561cfa": { "identifier": "pts\/onednn-3.1.0", "title": "oneDNN", "app_version": "3.1", "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": 9.8218499999999995253574525122530758380889892578125, "raw_values": [ 9.83445999999999997953636921010911464691162109375, 9.8109300000000008168399290298111736774444580078125, 9.8201599999999995560528986970894038677215576171875 ], "min_result": [ "8.89" ], "test_run_times": [ 15.199999999999999289457264239899814128875732421875, 15.1899999999999995026200849679298698902130126953125, 15.17999999999999971578290569595992565155029296875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } }, "b": { "value": 10.3437000000000001165290086646564304828643798828125, "min_result": [ "9.48" ], "test_run_times": [ 15.21000000000000085265128291212022304534912109375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } }, "c": { "value": 10.1212999999999997413624441833235323429107666015625, "min_result": [ "9.49" ], "test_run_times": [ 15.2200000000000006394884621840901672840118408203125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } }, "d": { "value": 9.8432499999999993889332472463138401508331298828125, "min_result": [ "9.13" ], "test_run_times": [ 15.2200000000000006394884621840901672840118408203125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } } } }, "05cfbccad68198271d781f6f55b87475307a2326": { "identifier": "pts\/onednn-3.1.0", "title": "oneDNN", "app_version": "3.1", "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": 6.8159200000000002006572685786522924900054931640625, "raw_values": [ 6.845720000000000027284841053187847137451171875, 6.81801000000000012590817277668975293636322021484375, 6.78404000000000007020162229309789836406707763671875 ], "min_result": [ "6.46" ], "test_run_times": [ 9.4900000000000002131628207280300557613372802734375, 9.4900000000000002131628207280300557613372802734375, 9.5 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } }, "b": { "value": 6.6629599999999999937472239253111183643341064453125, "min_result": [ "6.36" ], "test_run_times": [ 9.480000000000000426325641456060111522674560546875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } }, "c": { "value": 6.65944999999999964757080306299030780792236328125, "min_result": [ "6.33" ], "test_run_times": [ 9.4900000000000002131628207280300557613372802734375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } }, "d": { "value": 6.68831000000000042149395085289143025875091552734375, "min_result": [ "6.35" ], "test_run_times": [ 9.4900000000000002131628207280300557613372802734375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } } } }, "4960548f046608e22145f323fdbb4909927f4e02": { "identifier": "pts\/onednn-3.1.0", "title": "oneDNN", "app_version": "3.1", "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": 3.56346000000000007190692485892213881015777587890625, "raw_values": [ 2.3221199999999999619149093632586300373077392578125, 3.39810999999999996390442902338691055774688720703125, 3.386649999999999938182781988871283829212188720703125, 3.40298999999999995935695551452226936817169189453125, 3.735580000000000122639676192193292081356048583984375, 3.742339999999999999857891452847979962825775146484375, 3.75180999999999986727061696001328527927398681640625, 3.715969999999999995310417943983338773250579833984375, 3.745600000000000040500935938325710594654083251953125, 3.756460000000000132303057398530654609203338623046875, 3.769420000000000214868123293854296207427978515625, 3.749330000000000051585402616183273494243621826171875, 3.756860000000000088249407781404443085193634033203125, 3.754370000000000207052153200493194162845611572265625, 3.464259999999999894981783654657192528247833251953125 ], "min_result": [ "2.09" ], "test_run_times": [ 15.160000000000000142108547152020037174224853515625, 15.230000000000000426325641456060111522674560546875, 15.25, 15.2400000000000002131628207280300557613372802734375, 15.269999999999999573674358543939888477325439453125, 15.25, 15.25, 15.25, 15.2400000000000002131628207280300557613372802734375, 15.25, 15.269999999999999573674358543939888477325439453125, 15.25, 15.25, 15.25, 15.230000000000000426325641456060111522674560546875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } }, "b": { "value": 2.165270000000000027995383788947947323322296142578125, "min_result": [ "1.95" ], "test_run_times": [ 15.1500000000000003552713678800500929355621337890625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } }, "c": { "value": 2.11974000000000017962520360015332698822021484375, "min_result": [ "1.97" ], "test_run_times": [ 15.1500000000000003552713678800500929355621337890625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } }, "d": { "value": 2.085669999999999912887460595811717212200164794921875, "min_result": [ "1.83" ], "test_run_times": [ 15.1500000000000003552713678800500929355621337890625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } } } }, "9c6aae8868a1b01d973b60c06f529b2f00021fa5": { "identifier": "pts\/onednn-3.1.0", "title": "oneDNN", "app_version": "3.1", "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": 4.22281999999999957395857563824392855167388916015625, "raw_values": [ 3.354950000000000098765440270653925836086273193359375, 4.27658999999999966945551932440139353275299072265625, 4.29751999999999956258989186608232557773590087890625, 4.3045299999999997453414835035800933837890625, 4.45624999999999982236431605997495353221893310546875, 4.2885200000000001097077984013594686985015869140625, 4.2893100000000004001776687800884246826171875, 4.25647000000000019781509763561189174652099609375, 4.2858900000000001995204002014361321926116943359375, 4.29976999999999964785502015729434788227081298828125, 4.28491999999999961801222525537014007568359375, 4.2791300000000003223021849407814443111419677734375 ], "min_result": [ "2.53" ], "test_run_times": [ 9.4399999999999995026200849679298698902130126953125, 9.7200000000000006394884621840901672840118408203125, 9.71000000000000085265128291212022304534912109375, 9.71000000000000085265128291212022304534912109375, 9.71000000000000085265128291212022304534912109375, 9.75, 9.71000000000000085265128291212022304534912109375, 9.730000000000000426325641456060111522674560546875, 9.71000000000000085265128291212022304534912109375, 9.730000000000000426325641456060111522674560546875, 9.730000000000000426325641456060111522674560546875, 9.71000000000000085265128291212022304534912109375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } }, "b": { "value": 2.659310000000000062669869294040836393833160400390625, "min_result": [ "2.55" ], "test_run_times": [ 9.4199999999999999289457264239899814128875732421875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } }, "c": { "value": 2.640730000000000021742607714259065687656402587890625, "min_result": [ "2.51" ], "test_run_times": [ 9.4199999999999999289457264239899814128875732421875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } }, "d": { "value": 2.8150800000000000267164068645797669887542724609375, "min_result": [ "2.51" ], "test_run_times": [ 9.4399999999999995026200849679298698902130126953125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } } } }, "f75392b42a361a444898a7f58512d804f8df73dd": { "identifier": "pts\/onednn-3.1.0", "title": "oneDNN", "app_version": "3.1", "arguments": "--ip --batch=inputs\/ip\/shapes_1d --cfg=bf16bf16bf16 --engine=cpu", "description": "Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 35.5551999999999992496668710373342037200927734375, "raw_values": [ 26.732600000000001472244548494927585124969482421875, 36.4566999999999978854248183779418468475341796875, 36.33460000000000178488335222937166690826416015625, 36.42360000000000042064129956997931003570556640625, 36.63519999999999754436430521309375762939453125, 34.99600000000000221689333557151257991790771484375, 36.5551999999999992496668710373342037200927734375, 36.6041000000000025238477974198758602142333984375, 36.44969999999999998863131622783839702606201171875, 36.40339999999999776036929688416421413421630859375, 36.56609999999999871533873374573886394500732421875, 36.50500000000000255795384873636066913604736328125 ], "min_result": [ "23.87" ], "test_run_times": [ 15.269999999999999573674358543939888477325439453125, 15.3699999999999992184029906638897955417633056640625, 15.3599999999999994315658113919198513031005859375, 15.3599999999999994315658113919198513031005859375, 15.3599999999999994315658113919198513031005859375, 15.2799999999999993605115378159098327159881591796875, 15.3800000000000007815970093361102044582366943359375, 15.3499999999999996447286321199499070644378662109375, 15.3599999999999994315658113919198513031005859375, 15.3900000000000005684341886080801486968994140625, 15.3900000000000005684341886080801486968994140625, 15.3699999999999992184029906638897955417633056640625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } }, "b": { "value": 24.391600000000000392219590139575302600860595703125, "min_result": [ "23.78" ], "test_run_times": [ 15.2400000000000002131628207280300557613372802734375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } }, "c": { "value": 24.09649999999999891997504164464771747589111328125, "min_result": [ "23.5" ], "test_run_times": [ 15.2400000000000002131628207280300557613372802734375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } }, "d": { "value": 24.678599999999999425881469505839049816131591796875, "min_result": [ "23.99" ], "test_run_times": [ 15.25 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } } } }, "b784887bbed4c42b45cb275988961f3356a44fb7": { "identifier": "pts\/onednn-3.1.0", "title": "oneDNN", "app_version": "3.1", "arguments": "--ip --batch=inputs\/ip\/shapes_3d --cfg=bf16bf16bf16 --engine=cpu", "description": "Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 11.7245000000000008100187187665142118930816650390625, "raw_values": [ 10.246700000000000585487214266322553157806396484375, 11.9174000000000006593836587853729724884033203125, 11.8817000000000003723243935382924973964691162109375, 11.836999999999999744204615126363933086395263671875, 11.812799999999999300825948012061417102813720703125, 11.8377999999999996560973158921115100383758544921875, 11.90090000000000003410605131648480892181396484375, 11.855000000000000426325641456060111522674560546875, 11.820299999999999585043042316101491451263427734375, 11.8193000000000001392663762089796364307403564453125, 11.89959999999999951114659779705107212066650390625, 11.8651999999999997470467860694043338298797607421875 ], "min_result": [ "6.27" ], "test_run_times": [ 9.6899999999999995026200849679298698902130126953125, 10.1699999999999999289457264239899814128875732421875, 10.1500000000000003552713678800500929355621337890625, 10.160000000000000142108547152020037174224853515625, 10.1400000000000005684341886080801486968994140625, 10.160000000000000142108547152020037174224853515625, 10.160000000000000142108547152020037174224853515625, 10.1400000000000005684341886080801486968994140625, 10.1500000000000003552713678800500929355621337890625, 10.1500000000000003552713678800500929355621337890625, 10.1500000000000003552713678800500929355621337890625, 10.1500000000000003552713678800500929355621337890625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } }, "b": { "value": 7.59194999999999975415221342700533568859100341796875, "min_result": [ "6.3" ], "test_run_times": [ 9.660000000000000142108547152020037174224853515625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } }, "c": { "value": 7.6214800000000000324007487506605684757232666015625, "min_result": [ "6.08" ], "test_run_times": [ 9.660000000000000142108547152020037174224853515625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } }, "d": { "value": 8.3599300000000003052491592825390398502349853515625, "min_result": [ "6.28" ], "test_run_times": [ 9.6899999999999995026200849679298698902130126953125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } } } }, "a342600ef31739e2aef835bedeb0930d32443788": { "identifier": "pts\/onednn-3.1.0", "title": "oneDNN", "app_version": "3.1", "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": 17.07130000000000080717654782347381114959716796875, "raw_values": [ 14.4602000000000003865352482534945011138916015625, 17.336999999999999744204615126363933086395263671875, 17.28620000000000089812601800076663494110107421875, 17.329699999999998993871486163698136806488037109375, 17.221000000000000085265128291212022304534912109375, 17.32339999999999946567186270840466022491455078125, 17.3068999999999988403942552395164966583251953125, 17.2897999999999996134647517465054988861083984375, 17.296199999999998908606357872486114501953125, 17.3355999999999994543031789362430572509765625, 17.3325999999999993406163412146270275115966796875, 17.337399999999998811972545809112489223480224609375 ], "min_result": [ "11.85" ], "test_run_times": [ 6.230000000000000426325641456060111522674560546875, 6.3300000000000000710542735760100185871124267578125, 6.36000000000000031974423109204508364200592041015625, 6.339999999999999857891452847979962825775146484375, 6.3300000000000000710542735760100185871124267578125, 6.3300000000000000710542735760100185871124267578125, 6.3300000000000000710542735760100185871124267578125, 6.339999999999999857891452847979962825775146484375, 6.339999999999999857891452847979962825775146484375, 6.339999999999999857891452847979962825775146484375, 6.339999999999999857891452847979962825775146484375, 6.339999999999999857891452847979962825775146484375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } }, "b": { "value": 12.72240000000000037516656448133289813995361328125, "min_result": [ "12.51" ], "test_run_times": [ 6.230000000000000426325641456060111522674560546875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } }, "c": { "value": 12.9215999999999997527311279554851353168487548828125, "min_result": [ "12.59" ], "test_run_times": [ 6.230000000000000426325641456060111522674560546875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } }, "d": { "value": 12.9928000000000007929656931082718074321746826171875, "min_result": [ "11.94" ], "test_run_times": [ 6.2400000000000002131628207280300557613372802734375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } } } }, "a8fcdc68a507cb05dfbcfe261fdb94af1eba8002": { "identifier": "pts\/onednn-3.1.0", "title": "oneDNN", "app_version": "3.1", "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": 23.494099999999999539568307227455079555511474609375, "raw_values": [ 23.381900000000001682565198279917240142822265625, 23.543099999999999027977537480182945728302001953125, 23.557400000000001227817847393453121185302734375 ], "min_result": [ "19.95" ], "test_run_times": [ 21.129999999999999005240169935859739780426025390625, 21.14999999999999857891452847979962825775146484375, 21.14999999999999857891452847979962825775146484375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } }, "b": { "value": 15.2277000000000004575895218295045197010040283203125, "min_result": [ "14.43" ], "test_run_times": [ 21.10000000000000142108547152020037174224853515625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } }, "c": { "value": 15.3117999999999998550492819049395620822906494140625, "min_result": [ "14.12" ], "test_run_times": [ 21.1099999999999994315658113919198513031005859375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } }, "d": { "value": 20.20700000000000073896444519050419330596923828125, "min_result": [ "18.47" ], "test_run_times": [ 21.129999999999999005240169935859739780426025390625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } } } }, "1174f6bac9b44a7ac5775edd117f55ffc956e121": { "identifier": "pts\/onednn-3.1.0", "title": "oneDNN", "app_version": "3.1", "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": 14.9885000000000001563194018672220408916473388671875, "raw_values": [ 13.143000000000000682121026329696178436279296875, 13.161899999999999266719896695576608180999755859375, 15.1060999999999996390442902338691055774688720703125, 15.275999999999999801048033987171947956085205078125, 15.295899999999999607780409860424697399139404296875, 15.300000000000000710542735760100185871124267578125, 15.2949000000000001620037437533028423786163330078125, 15.2739999999999991331378623726777732372283935546875, 15.3445999999999997953636921010911464691162109375, 15.2934999999999998721023075631819665431976318359375, 15.2623999999999995225152815692126750946044921875, 15.3027999999999995139887687400914728641510009765625, 15.332100000000000505906427861191332340240478515625, 15.2291000000000007474909580196253955364227294921875, 15.2118999999999999772626324556767940521240234375 ], "min_result": [ "12.74" ], "test_run_times": [ 3.089999999999999857891452847979962825775146484375, 3.0800000000000000710542735760100185871124267578125, 3.089999999999999857891452847979962825775146484375, 3.0800000000000000710542735760100185871124267578125, 3.089999999999999857891452847979962825775146484375, 3.089999999999999857891452847979962825775146484375, 3.089999999999999857891452847979962825775146484375, 3.089999999999999857891452847979962825775146484375, 3.0800000000000000710542735760100185871124267578125, 3.089999999999999857891452847979962825775146484375, 3.0800000000000000710542735760100185871124267578125, 3.089999999999999857891452847979962825775146484375, 3.089999999999999857891452847979962825775146484375, 3.089999999999999857891452847979962825775146484375, 3.100000000000000088817841970012523233890533447265625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } }, "b": { "value": 13.5344999999999995310417943983338773250579833984375, "min_result": [ "13.28" ], "test_run_times": [ 3.0800000000000000710542735760100185871124267578125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } }, "c": { "value": 13.5698000000000007503331289626657962799072265625, "min_result": [ "13.3" ], "test_run_times": [ 3.089999999999999857891452847979962825775146484375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } }, "d": { "value": 13.118900000000000005684341886080801486968994140625, "min_result": [ "12.87" ], "test_run_times": [ 3.0800000000000000710542735760100185871124267578125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } } } }, "a81990613d0db23761d2ead036ace98fbce50307": { "identifier": "pts\/onednn-3.1.0", "title": "oneDNN", "app_version": "3.1", "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": 12.2324000000000001620037437533028423786163330078125, "raw_values": [ 11.4594000000000004746425474877469241619110107421875, 12.3237000000000005428546501207165420055389404296875, 12.312599999999999766941982670687139034271240234375, 12.3325999999999993406163412146270275115966796875, 12.2628000000000003666400516522116959095001220703125, 12.341499999999999914734871708787977695465087890625, 12.350300000000000721911419532261788845062255859375, 12.3355999999999994543031789362430572509765625, 12.3728999999999995651478457148186862468719482421875 ], "min_result": [ "11.02" ], "test_run_times": [ 6.2400000000000002131628207280300557613372802734375, 6.339999999999999857891452847979962825775146484375, 6.339999999999999857891452847979962825775146484375, 6.339999999999999857891452847979962825775146484375, 6.339999999999999857891452847979962825775146484375, 6.339999999999999857891452847979962825775146484375, 6.3300000000000000710542735760100185871124267578125, 6.3499999999999996447286321199499070644378662109375, 6.3499999999999996447286321199499070644378662109375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } }, "b": { "value": 11.2797000000000000596855898038484156131744384765625, "min_result": [ "11.04" ], "test_run_times": [ 6.20999999999999996447286321199499070644378662109375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } }, "c": { "value": 11.251699999999999590727384202182292938232421875, "min_result": [ "11.03" ], "test_run_times": [ 6.21999999999999975131004248396493494510650634765625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } }, "d": { "value": 11.4214999999999999857891452847979962825775146484375, "min_result": [ "11.11" ], "test_run_times": [ 6.21999999999999975131004248396493494510650634765625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } } } }, "c54e17069f14f80946a27a10ad6053401529b0c2": { "identifier": "pts\/onednn-3.1.0", "title": "oneDNN", "app_version": "3.1", "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": 4.5490399999999997504573912010528147220611572265625, "raw_values": [ 4.43447999999999975528908180422149598598480224609375, 4.6131299999999999528199623455293476581573486328125, 4.59949999999999992184029906638897955417633056640625 ], "min_result": [ "3.95" ], "test_run_times": [ 21.10000000000000142108547152020037174224853515625, 21.10000000000000142108547152020037174224853515625, 21.089999999999999857891452847979962825775146484375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } }, "b": { "value": 2.671469999999999789253024573554284870624542236328125, "min_result": [ "2.6" ], "test_run_times": [ 21.07000000000000028421709430404007434844970703125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } }, "c": { "value": 2.684299999999999908339987086947076022624969482421875, "min_result": [ "2.55" ], "test_run_times": [ 21.059999999999998721023075631819665431976318359375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } }, "d": { "value": 3.919280000000000097060137704829685389995574951171875, "min_result": [ "3.44" ], "test_run_times": [ 21.0799999999999982946974341757595539093017578125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } } } }, "859926c7b11163b47d93f042a8a0a61bcdbd672d": { "identifier": "pts\/onednn-3.1.0", "title": "oneDNN", "app_version": "3.1", "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": 4.09180000000000010373923942097462713718414306640625, "raw_values": [ 3.18231000000000019412027540965937077999114990234375, 3.90735000000000010089706847793422639369964599609375, 4.1847700000000003228706191293895244598388671875, 4.16950000000000020605739337042905390262603759765625, 4.18506000000000000227373675443232059478759765625, 4.17922999999999955633711579139344394207000732421875, 4.19418999999999986272314345114864408969879150390625, 4.17438999999999982293275024858303368091583251953125, 4.1734799999999996344968167250044643878936767578125, 4.17480999999999990990318110561929643154144287109375, 4.21384000000000025210056264768354594707489013671875, 4.1861499999999995935695551452226936817169189453125, 4.175019999999999953388396534137427806854248046875, 4.18508000000000013329781722859479486942291259765625 ], "min_result": [ "3.03" ], "test_run_times": [ 3.060000000000000053290705182007513940334320068359375, 3.069999999999999840127884453977458178997039794921875, 3.069999999999999840127884453977458178997039794921875, 3.069999999999999840127884453977458178997039794921875, 3.060000000000000053290705182007513940334320068359375, 3.069999999999999840127884453977458178997039794921875, 3.060000000000000053290705182007513940334320068359375, 3.069999999999999840127884453977458178997039794921875, 3.060000000000000053290705182007513940334320068359375, 3.060000000000000053290705182007513940334320068359375, 3.089999999999999857891452847979962825775146484375, 3.089999999999999857891452847979962825775146484375, 3.069999999999999840127884453977458178997039794921875, 3.069999999999999840127884453977458178997039794921875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } }, "b": { "value": 3.219930000000000180904180524521507322788238525390625, "min_result": [ "3.14" ], "test_run_times": [ 3.060000000000000053290705182007513940334320068359375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } }, "c": { "value": 3.227189999999999781010728838737122714519500732421875, "min_result": [ "3.14" ], "test_run_times": [ 3.069999999999999840127884453977458178997039794921875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } }, "d": { "value": 3.153799999999999936761696517351083457469940185546875, "min_result": [ "3.04" ], "test_run_times": [ 3.069999999999999840127884453977458178997039794921875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } } } }, "995f098a3a702cfe522c02ed30b5e39a9e8a245a": { "identifier": "pts\/onednn-3.1.0", "title": "oneDNN", "app_version": "3.1", "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": 14822.5, "raw_values": [ 12572.29999999999927240423858165740966796875, 35174.0999999999985448084771633148193359375, 17394.4000000000014551915228366851806640625, 12519, 12530.20000000000072759576141834259033203125, 12530.29999999999927240423858165740966796875, 12555.100000000000363797880709171295166015625, 12527.600000000000363797880709171295166015625, 12495.20000000000072759576141834259033203125, 12501.600000000000363797880709171295166015625, 12529.100000000000363797880709171295166015625, 12541.399999999999636202119290828704833984375 ], "min_result": [ "12309.7" ], "test_run_times": [ 134.6100000000000136424205265939235687255859375, 274.8899999999999863575794734060764312744140625, 155.30000000000001136868377216160297393798828125, 134.5, 134.460000000000007958078640513122081756591796875, 134.330000000000012505552149377763271331787109375, 134.55000000000001136868377216160297393798828125, 134.460000000000007958078640513122081756591796875, 134.30000000000001136868377216160297393798828125, 134.210000000000007958078640513122081756591796875, 134.400000000000005684341886080801486968994140625, 134.520000000000010231815394945442676544189453125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } }, "b": { "value": 8683.309999999999490682967007160186767578125, "min_result": [ "8479.89" ], "test_run_times": [ 111.900000000000005684341886080801486968994140625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } }, "c": { "value": 8829.670000000000072759576141834259033203125, "min_result": [ "8485.03" ], "test_run_times": [ 112.7099999999999937472239253111183643341064453125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } }, "d": { "value": 11688.600000000000363797880709171295166015625, "min_result": [ "11403.4" ], "test_run_times": [ 129.1200000000000045474735088646411895751953125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } } } }, "40675d3e6e4b34da15ff991d043fd8e0a00fce06": { "identifier": "pts\/onednn-3.1.0", "title": "oneDNN", "app_version": "3.1", "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": 6396.75, "raw_values": [ 6384.6199999999998908606357872486114501953125, 6400.260000000000218278728425502777099609375, 6405.3599999999996725819073617458343505859375 ], "min_result": [ "6202.66" ], "test_run_times": [ 100.6299999999999954525264911353588104248046875, 100.9599999999999937472239253111183643341064453125, 101.68999999999999772626324556767940521240234375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } }, "b": { "value": 5454.5600000000004001776687800884246826171875, "min_result": [ "5266.44" ], "test_run_times": [ 96.8599999999999994315658113919198513031005859375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } }, "c": { "value": 5902.149999999999636202119290828704833984375, "min_result": [ "5729.58" ], "test_run_times": [ 98.3799999999999954525264911353588104248046875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } }, "d": { "value": 6177.9399999999995998223312199115753173828125, "min_result": [ "5867.3" ], "test_run_times": [ 99.349999999999994315658113919198513031005859375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } } } }, "6f770c223fdabfbc0ccff8b6cb2d8ad00defd695": { "identifier": "pts\/onednn-3.1.0", "title": "oneDNN", "app_version": "3.1", "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": 12541.899999999999636202119290828704833984375, "raw_values": [ 12547.100000000000363797880709171295166015625, 12546.29999999999927240423858165740966796875, 12532.399999999999636202119290828704833984375 ], "min_result": [ "12352.8" ], "test_run_times": [ 134.280000000000001136868377216160297393798828125, 134.509999999999990905052982270717620849609375, 134.340000000000003410605131648480892181396484375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } }, "b": { "value": 10488.70000000000072759576141834259033203125, "min_result": [ "9390.43" ], "test_run_times": [ 122.0499999999999971578290569595992565155029296875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } }, "c": { "value": 11586.70000000000072759576141834259033203125, "min_result": [ "11430.2" ], "test_run_times": [ 128.330000000000012505552149377763271331787109375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } }, "d": { "value": 12187.5, "min_result": [ "11857.4" ], "test_run_times": [ 132.009999999999990905052982270717620849609375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } } } }, "ff62d9b67dfd9c5dcc2d3197b283d87b828b5583": { "identifier": "pts\/onednn-3.1.0", "title": "oneDNN", "app_version": "3.1", "arguments": "--conv --batch=inputs\/conv\/shapes_auto --cfg=bf16bf16bf16 --engine=cpu", "description": "Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 70.3355999999999994543031789362430572509765625, "raw_values": [ 51.01570000000000248974174610339105129241943359375, 72.15149999999999863575794734060764312744140625, 71.8729000000000013415046851150691509246826171875, 72.4054000000000002046363078989088535308837890625, 72.201400000000006684786058031022548675537109375, 71.97350000000000136424205265939235687255859375, 72.01019999999999754436430521309375762939453125, 72.23120000000000118234311230480670928955078125, 72.35120000000000572981662116944789886474609375, 71.858800000000002228262019343674182891845703125, 71.9115000000000037516656448133289813995361328125, 72.0442000000000035697667044587433338165283203125 ], "min_result": [ "45.92" ], "test_run_times": [ 6.29000000000000003552713678800500929355621337890625, 6.32000000000000028421709430404007434844970703125, 6.30999999999999960920149533194489777088165283203125, 6.339999999999999857891452847979962825775146484375, 6.3300000000000000710542735760100185871124267578125, 6.32000000000000028421709430404007434844970703125, 6.3300000000000000710542735760100185871124267578125, 6.339999999999999857891452847979962825775146484375, 6.339999999999999857891452847979962825775146484375, 6.3300000000000000710542735760100185871124267578125, 6.32000000000000028421709430404007434844970703125, 6.3300000000000000710542735760100185871124267578125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } }, "b": { "value": 47.8999000000000023646862246096134185791015625, "min_result": [ "47.32" ], "test_run_times": [ 6.2400000000000002131628207280300557613372802734375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } }, "c": { "value": 47.98960000000000292175172944553196430206298828125, "min_result": [ "47.42" ], "test_run_times": [ 6.2400000000000002131628207280300557613372802734375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } }, "d": { "value": 50.89789999999999992041921359486877918243408203125, "min_result": [ "47.33" ], "test_run_times": [ 6.2599999999999997868371792719699442386627197265625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } } } }, "4b517a5b81c45da6f55cb4b4c6ef2545ed465e8e": { "identifier": "pts\/onednn-3.1.0", "title": "oneDNN", "app_version": "3.1", "arguments": "--deconv --batch=inputs\/deconv\/shapes_1d --cfg=bf16bf16bf16 --engine=cpu", "description": "Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 88.902500000000003410605131648480892181396484375, "raw_values": [ 86.69540000000000645741238258779048919677734375, 89.877399999999994406607584096491336822509765625, 90.1346999999999951569407130591571331024169921875 ], "min_result": [ "81.31" ], "test_run_times": [ 21.260000000000001563194018672220408916473388671875, 21.280000000000001136868377216160297393798828125, 21.280000000000001136868377216160297393798828125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } }, "b": { "value": 72.451200000000000045474735088646411895751953125, "min_result": [ "68.46" ], "test_run_times": [ 21.21000000000000085265128291212022304534912109375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } }, "c": { "value": 61.6623000000000018872015061788260936737060546875, "min_result": [ "58.41" ], "test_run_times": [ 21.21000000000000085265128291212022304534912109375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } }, "d": { "value": 81.90670000000000072759576141834259033203125, "min_result": [ "72.94" ], "test_run_times": [ 21.25 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } } } }, "b4d57e67c2f4fa0df3a820b8f26a8917e0eda5ef": { "identifier": "pts\/onednn-3.1.0", "title": "oneDNN", "app_version": "3.1", "arguments": "--deconv --batch=inputs\/deconv\/shapes_3d --cfg=bf16bf16bf16 --engine=cpu", "description": "Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 54.5551999999999992496668710373342037200927734375, "raw_values": [ 47.63459999999999894271240918897092342376708984375, 47.48120000000000118234311230480670928955078125, 55.464799999999996771293808706104755401611328125, 55.9412999999999982492226990871131420135498046875, 55.69539999999999935198502498678863048553466796875, 55.53670000000000328554961015470325946807861328125, 55.71430000000000148929757415316998958587646484375, 54.88969999999999771489456179551780223846435546875, 55.81860000000000354702933691442012786865234375, 55.56589999999999918145476840436458587646484375, 55.806499999999999772626324556767940521240234375, 55.53600000000000136424205265939235687255859375, 55.96929999999999694182406528852880001068115234375, 56.0082000000000022055246517993509769439697265625, 55.2659000000000020236257114447653293609619140625 ], "min_result": [ "46.76" ], "test_run_times": [ 3.12000000000000010658141036401502788066864013671875, 3.160000000000000142108547152020037174224853515625, 3.180000000000000159872115546022541821002960205078125, 3.20000000000000017763568394002504646778106689453125, 3.189999999999999946709294817992486059665679931640625, 3.180000000000000159872115546022541821002960205078125, 3.189999999999999946709294817992486059665679931640625, 3.160000000000000142108547152020037174224853515625, 3.189999999999999946709294817992486059665679931640625, 3.12999999999999989341858963598497211933135986328125, 3.20999999999999996447286321199499070644378662109375, 3.180000000000000159872115546022541821002960205078125, 3.20000000000000017763568394002504646778106689453125, 3.20000000000000017763568394002504646778106689453125, 3.160000000000000142108547152020037174224853515625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } }, "b": { "value": 48.914299999999997226041159592568874359130859375, "min_result": [ "48.35" ], "test_run_times": [ 3.149999999999999911182158029987476766109466552734375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } }, "c": { "value": 48.67309999999999803321770741604268550872802734375, "min_result": [ "48.15" ], "test_run_times": [ 3.140000000000000124344978758017532527446746826171875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } }, "d": { "value": 48.58239999999999980673237587325274944305419921875, "min_result": [ "48.09" ], "test_run_times": [ 3.140000000000000124344978758017532527446746826171875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } } } }, "135e8dd77faa26aceaa7bb3f75d2ff7506918344": { "identifier": "pts\/onednn-3.1.0", "title": "oneDNN", "app_version": "3.1", "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": 6414.1800000000002910383045673370361328125, "raw_values": [ 6414.0699999999997089616954326629638671875, 6420.77000000000043655745685100555419921875, 6407.7100000000000363797880709171295166015625 ], "min_result": [ "6217.32" ], "test_run_times": [ 100.7699999999999960209606797434389591217041015625, 100.9599999999999937472239253111183643341064453125, 101.0400000000000062527760746888816356658935546875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } }, "b": { "value": 5859.75, "min_result": [ "5713.97" ], "test_run_times": [ 98.2000000000000028421709430404007434844970703125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } }, "c": { "value": 5899.34000000000014551915228366851806640625, "min_result": [ "5743.16" ], "test_run_times": [ 98.4599999999999937472239253111183643341064453125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } }, "d": { "value": 6059.3699999999998908606357872486114501953125, "min_result": [ "5802.87" ], "test_run_times": [ 99.5100000000000051159076974727213382720947265625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } } } }, "c5f4f9bf7112ea3f2c9e2826775b0d4b1f443b6d": { "identifier": "pts\/onednn-3.1.0", "title": "oneDNN", "app_version": "3.1", "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": 12525.100000000000363797880709171295166015625, "raw_values": [ 12517.899999999999636202119290828704833984375, 12531.70000000000072759576141834259033203125, 12525.600000000000363797880709171295166015625 ], "min_result": [ "12322" ], "test_run_times": [ 134.340000000000003410605131648480892181396484375, 134.330000000000012505552149377763271331787109375, 134.479999999999989768184605054557323455810546875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } }, "b": { "value": 11598.20000000000072759576141834259033203125, "min_result": [ "11435" ], "test_run_times": [ 128.400000000000005684341886080801486968994140625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } }, "c": { "value": 11588.899999999999636202119290828704833984375, "min_result": [ "11421.2" ], "test_run_times": [ 128.30000000000001136868377216160297393798828125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } }, "d": { "value": 12146.100000000000363797880709171295166015625, "min_result": [ "11556" ], "test_run_times": [ 132.169999999999987494447850622236728668212890625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } } } }, "332c817ab104466ab01721410c6dccde4dc2edbc": { "identifier": "pts\/onednn-3.1.0", "title": "oneDNN", "app_version": "3.1", "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": 6410.8699999999998908606357872486114501953125, "raw_values": [ 6400.9700000000002546585164964199066162109375, 6417.09000000000014551915228366851806640625, 6414.5399999999999636202119290828704833984375 ], "min_result": [ "6212.61" ], "test_run_times": [ 100.840000000000003410605131648480892181396484375, 101.0199999999999960209606797434389591217041015625, 100.849999999999994315658113919198513031005859375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } }, "b": { "value": 5909, "min_result": [ "5746.69" ], "test_run_times": [ 98.5400000000000062527760746888816356658935546875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } }, "c": { "value": 5904.97999999999956344254314899444580078125, "min_result": [ "5742.42" ], "test_run_times": [ 98.43000000000000682121026329696178436279296875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } }, "d": { "value": 6148, "min_result": [ "5862.24" ], "test_run_times": [ 99.840000000000003410605131648480892181396484375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl" } } } } }, "ceec1ad1fb0d290d2e0dde080ebf3e2bcc4fbc77": { "identifier": "pts\/blender-3.5.0", "title": "Blender", "app_version": "3.5", "arguments": "-b ..\/bmw27_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU", "description": "Blend File: BMW27 - Compute: CPU-Only", "scale": "Seconds", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 667.8200000000000500222085975110530853271484375, "raw_values": [ 667.220000000000027284841053187847137451171875, 668.549999999999954525264911353588104248046875, 667.6799999999999499777914024889469146728515625 ], "test_run_times": [ 668.1200000000000045474735088646411895751953125, 668.9600000000000363797880709171295166015625, 668.0800000000000409272615797817707061767578125 ] }, "b": { "value": 607.6599999999999681676854379475116729736328125, "test_run_times": [ 608.049999999999954525264911353588104248046875 ] }, "c": { "value": 610.25, "test_run_times": [ 610.6499999999999772626324556767940521240234375 ] }, "d": { "value": 629.049999999999954525264911353588104248046875, "test_run_times": [ 629.450000000000045474735088646411895751953125 ] } } }, "586cc17618f3825983ff555b6c757a17bb3fb159": { "identifier": "pts\/blender-3.5.0", "title": "Blender", "app_version": "3.5", "arguments": "-b ..\/fishy_cat_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU", "description": "Blend File: Fishy Cat - Compute: CPU-Only", "scale": "Seconds", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 853.9299999999999499777914024889469146728515625, "raw_values": [ 849.6499999999999772626324556767940521240234375, 856.049999999999954525264911353588104248046875, 856.0900000000000318323145620524883270263671875 ], "test_run_times": [ 850.51999999999998181010596454143524169921875, 856.9199999999999590727384202182292938232421875, 856.970000000000027284841053187847137451171875 ] }, "b": { "value": 787.19000000000005456968210637569427490234375, "test_run_times": [ 788.049999999999954525264911353588104248046875 ] }, "c": { "value": 800.3700000000000045474735088646411895751953125, "test_run_times": [ 801.23000000000001818989403545856475830078125 ] }, "d": { "value": 790.5399999999999636202119290828704833984375, "test_run_times": [ 791.4099999999999681676854379475116729736328125 ] } } }, "7587cc56bdef67bdaae220b9a1082b58e47803a7": { "identifier": "pts\/blender-3.5.0", "title": "Blender", "app_version": "3.5", "arguments": "-b ..\/pavillon_barcelone_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU", "description": "Blend File: Pabellon Barcelona - Compute: CPU-Only", "scale": "Seconds", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 2258.1999999999998181010596454143524169921875, "raw_values": [ 2256.71999999999979991116560995578765869140625, 2252.42999999999983629095368087291717529296875, 2265.4600000000000363797880709171295166015625 ], "test_run_times": [ 2257.3699999999998908606357872486114501953125, 2253.09000000000014551915228366851806640625, 2266.1199999999998908606357872486114501953125 ] }, "b": { "value": 2127.09000000000014551915228366851806640625, "test_run_times": [ 2127.760000000000218278728425502777099609375 ] }, "c": { "value": 2170.73000000000001818989403545856475830078125, "test_run_times": [ 2171.40999999999985448084771633148193359375 ] }, "d": { "value": 2102.53000000000020008883439004421234130859375, "test_run_times": [ 2103.170000000000072759576141834259033203125 ] } } } } }