Tests for a future article. Intel Core i7-1065G7 testing with a Dell 06CDVY (1.0.9 BIOS) and Intel Iris Plus ICL GT2 16GB on Ubuntu 23.04 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 2312172-NE-DFGG9428382
{
"title": "dfgg",
"last_modified": "2023-12-17 12:37:27",
"description": "Tests for a future article. Intel Core i7-1065G7 testing with a Dell 06CDVY (1.0.9 BIOS) and Intel Iris Plus ICL GT2 16GB on Ubuntu 23.04 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 23.04",
"Kernel": "6.2.0-36-generic (x86_64)",
"Desktop": "GNOME Shell 44.3",
"Display Server": "X Server + Wayland",
"OpenGL": "4.6 Mesa 23.0.4-0ubuntu1~23.04.1",
"OpenCL": "OpenCL 3.0",
"Compiler": "GCC 12.3.0",
"File-System": "ext4",
"Screen Resolution": "1920x1200"
},
"user": "phoronix",
"timestamp": "2023-12-16 12:30:11",
"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-DAPbBt\/gcc-12-12.3.0\/debian\/tmp-nvptx\/usr,amdgcn-amdhsa=\/build\/gcc-12-DAPbBt\/gcc-12-12.3.0\/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-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": "0xc2",
"cpu-thermald": "2.5.2",
"kernel-extra-details": "Transparent Huge Pages: madvise",
"java": "OpenJDK Runtime Environment (build 11.0.20.1+1-post-Ubuntu-0ubuntu123.04)",
"python": "Python 3.11.4",
"security": "gather_data_sampling: Mitigation of Microcode + 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_rstack_overflow: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy\/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of 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 23.04",
"Kernel": "6.2.0-36-generic (x86_64)",
"Desktop": "GNOME Shell 44.3",
"Display Server": "X Server + Wayland",
"OpenGL": "4.6 Mesa 23.0.4-0ubuntu1~23.04.1",
"OpenCL": "OpenCL 3.0",
"Compiler": "GCC 12.3.0",
"File-System": "ext4",
"Screen Resolution": "1920x1200"
},
"user": "phoronix",
"timestamp": "2023-12-17 02:21:20",
"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-DAPbBt\/gcc-12-12.3.0\/debian\/tmp-nvptx\/usr,amdgcn-amdhsa=\/build\/gcc-12-DAPbBt\/gcc-12-12.3.0\/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-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": "0xc2",
"cpu-thermald": "2.5.2",
"kernel-extra-details": "Transparent Huge Pages: madvise",
"java": "OpenJDK Runtime Environment (build 11.0.20.1+1-post-Ubuntu-0ubuntu123.04)",
"python": "Python 3.11.4",
"security": "gather_data_sampling: Mitigation of Microcode + 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_rstack_overflow: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy\/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Mitigation of Microcode + tsx_async_abort: Not affected"
}
}
},
"results": {
"8428c1c79d7e8f2f99c001f196a0b9f7c5032d83": {
"identifier": "pts\/webp2-1.2.1",
"title": "WebP2 Image Encode",
"app_version": "20220823",
"arguments": "-q 100 -effort 9",
"description": "Encode Settings: Quality 100, Lossless Compression",
"scale": "MP\/s",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"test_run_times": [
6681.0600000000004001776687800884246826171875
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-msse4.2 -fno-rtti -O3 -ldl"
}
}
},
"b": {
"test_run_times": [
6828.579999999999927240423858165740966796875
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-msse4.2 -fno-rtti -O3 -ldl"
}
}
}
}
},
"9524205c1703ecea055ce3dff22ecbfbb11e896a": {
"identifier": "pts\/xmrig-1.2.0",
"title": "Xmrig",
"app_version": "6.21",
"arguments": "-a gr --bench=1M",
"description": "Variant: GhostRider - Hash Count: 1M",
"scale": "H\/s",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 187.400000000000005684341886080801486968994140625,
"test_run_times": [
5337.8100000000004001776687800884246826171875
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc"
}
}
},
"b": {
"value": 185.19999999999998863131622783839702606201171875,
"test_run_times": [
5399.2799999999997453414835035800933837890625
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc"
}
}
}
}
},
"5a9e80d4ba03c8d8797d684ff12cf9cae34c916a": {
"identifier": "pts\/webp2-1.2.1",
"title": "WebP2 Image Encode",
"app_version": "20220823",
"arguments": "-q 95 -effort 7",
"description": "Encode Settings: Quality 95, Compression Effort 7",
"scale": "MP\/s",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 0.01000000000000000020816681711721685132943093776702880859375,
"raw_values": [
0.0139807345477930000665622856104164384305477142333984375
],
"test_run_times": [
1716.829999999999927240423858165740966796875
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-msse4.2 -fno-rtti -O3 -ldl"
}
}
},
"b": {
"value": 0.01000000000000000020816681711721685132943093776702880859375,
"raw_values": [
0.013947317494991999520248526778232189826667308807373046875
],
"test_run_times": [
1720.94000000000005456968210637569427490234375
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-msse4.2 -fno-rtti -O3 -ldl"
}
}
}
}
},
"a6582049fae98d7b9cc6b7c2a4af7d3309598638": {
"identifier": "pts\/spark-tpch-1.0.0",
"title": "Apache Spark TPC-H",
"app_version": "3.5",
"arguments": "-s 10",
"description": "Scale Factor: 10 - Q22",
"scale": "Seconds",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"parent": "3e84b2d01ae7ee0550c9911c298ebea0678ae176",
"results": {
"a": {
"value": 12.723425869999999804349499754607677459716796875,
"test_run_times": [
1178.470000000000027284841053187847137451171875
]
},
"b": {
"value": 13.0940647099999996072483554598875343799591064453125,
"test_run_times": [
1164.529999999999972715158946812152862548828125
]
}
}
},
"671c413cfa986d985ae3d95c95bc989b74cce721": {
"identifier": "pts\/spark-tpch-1.0.0",
"title": "Apache Spark TPC-H",
"app_version": "3.5",
"arguments": "-s 10",
"description": "Scale Factor: 10 - Q21",
"scale": "Seconds",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"parent": "3e84b2d01ae7ee0550c9911c298ebea0678ae176",
"results": {
"a": {
"value": 196.2626190199999882679549045860767364501953125,
"test_run_times": [
1178.470000000000027284841053187847137451171875
]
},
"b": {
"value": 189.404434199999997190388967283070087432861328125,
"test_run_times": [
1164.529999999999972715158946812152862548828125
]
}
}
},
"17bf40d7f515e5de4f355dcc13a3c95169023a39": {
"identifier": "pts\/spark-tpch-1.0.0",
"title": "Apache Spark TPC-H",
"app_version": "3.5",
"arguments": "-s 10",
"description": "Scale Factor: 10 - Q20",
"scale": "Seconds",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"parent": "3e84b2d01ae7ee0550c9911c298ebea0678ae176",
"results": {
"a": {
"value": 49.48738861000000355261363438330590724945068359375,
"test_run_times": [
1178.470000000000027284841053187847137451171875
]
},
"b": {
"value": 47.051952360000001363005139864981174468994140625,
"test_run_times": [
1164.529999999999972715158946812152862548828125
]
}
}
},
"ee45a4d6feb8bfeb0751ae7d3f8b91859865b1a3": {
"identifier": "pts\/spark-tpch-1.0.0",
"title": "Apache Spark TPC-H",
"app_version": "3.5",
"arguments": "-s 10",
"description": "Scale Factor: 10 - Q19",
"scale": "Seconds",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"parent": "3e84b2d01ae7ee0550c9911c298ebea0678ae176",
"results": {
"a": {
"value": 39.1945571899999976039907778613269329071044921875,
"test_run_times": [
1178.470000000000027284841053187847137451171875
]
},
"b": {
"value": 38.37455750000000165300662047229707241058349609375,
"test_run_times": [
1164.529999999999972715158946812152862548828125
]
}
}
},
"5cde70bffa421086b2351dd4045b82ef5a8239c3": {
"identifier": "pts\/spark-tpch-1.0.0",
"title": "Apache Spark TPC-H",
"app_version": "3.5",
"arguments": "-s 10",
"description": "Scale Factor: 10 - Q18",
"scale": "Seconds",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"parent": "3e84b2d01ae7ee0550c9911c298ebea0678ae176",
"results": {
"a": {
"value": 106.44145202999999355597537942230701446533203125,
"test_run_times": [
1178.470000000000027284841053187847137451171875
]
},
"b": {
"value": 103.6828384399999976039907778613269329071044921875,
"test_run_times": [
1164.529999999999972715158946812152862548828125
]
}
}
},
"13e3484063423e7a90ec43acd9b12fb889a34330": {
"identifier": "pts\/spark-tpch-1.0.0",
"title": "Apache Spark TPC-H",
"app_version": "3.5",
"arguments": "-s 10",
"description": "Scale Factor: 10 - Q17",
"scale": "Seconds",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"parent": "3e84b2d01ae7ee0550c9911c298ebea0678ae176",
"results": {
"a": {
"value": 100.780128480000001900407369248569011688232421875,
"test_run_times": [
1178.470000000000027284841053187847137451171875
]
},
"b": {
"value": 94.2012863199999941343776299618184566497802734375,
"test_run_times": [
1164.529999999999972715158946812152862548828125
]
}
}
},
"65ea1b7a8a0f57598dbc9219f9db7903debad6ca": {
"identifier": "pts\/spark-tpch-1.0.0",
"title": "Apache Spark TPC-H",
"app_version": "3.5",
"arguments": "-s 10",
"description": "Scale Factor: 10 - Q16",
"scale": "Seconds",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"parent": "3e84b2d01ae7ee0550c9911c298ebea0678ae176",
"results": {
"a": {
"value": 11.408605579999999690699041821062564849853515625,
"test_run_times": [
1178.470000000000027284841053187847137451171875
]
},
"b": {
"value": 11.6129798900000000827503754408098757266998291015625,
"test_run_times": [
1164.529999999999972715158946812152862548828125
]
}
}
},
"00d6ed7fe1b7b499447943f588e88f14cff9f3bf": {
"identifier": "pts\/spark-tpch-1.0.0",
"title": "Apache Spark TPC-H",
"app_version": "3.5",
"arguments": "-s 10",
"description": "Scale Factor: 10 - Q15",
"scale": "Seconds",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"parent": "3e84b2d01ae7ee0550c9911c298ebea0678ae176",
"results": {
"a": {
"value": 37.02564620999999789319190313108265399932861328125,
"test_run_times": [
1178.470000000000027284841053187847137451171875
]
},
"b": {
"value": 35.77382659999999958699845592491328716278076171875,
"test_run_times": [
1164.529999999999972715158946812152862548828125
]
}
}
},
"3b4bc5e2641c171f4934484ef8871dcd325dfa74": {
"identifier": "pts\/spark-tpch-1.0.0",
"title": "Apache Spark TPC-H",
"app_version": "3.5",
"arguments": "-s 10",
"description": "Scale Factor: 10 - Q14",
"scale": "Seconds",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"parent": "3e84b2d01ae7ee0550c9911c298ebea0678ae176",
"results": {
"a": {
"value": 38.59869003000000020620063878595829010009765625,
"test_run_times": [
1178.470000000000027284841053187847137451171875
]
},
"b": {
"value": 38.9642410299999966127870720811188220977783203125,
"test_run_times": [
1164.529999999999972715158946812152862548828125
]
}
}
},
"a658d98ad91a5427e556aa0029dc7f8f3622c0ad": {
"identifier": "pts\/spark-tpch-1.0.0",
"title": "Apache Spark TPC-H",
"app_version": "3.5",
"arguments": "-s 10",
"description": "Scale Factor: 10 - Q13",
"scale": "Seconds",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"parent": "3e84b2d01ae7ee0550c9911c298ebea0678ae176",
"results": {
"a": {
"value": 20.439550400000001673106453381478786468505859375,
"test_run_times": [
1178.470000000000027284841053187847137451171875
]
},
"b": {
"value": 21.210420609999999896899680607020854949951171875,
"test_run_times": [
1164.529999999999972715158946812152862548828125
]
}
}
},
"c5f1c4de65e94ee007a45e3ab391ba3ee3e830e2": {
"identifier": "pts\/spark-tpch-1.0.0",
"title": "Apache Spark TPC-H",
"app_version": "3.5",
"arguments": "-s 10",
"description": "Scale Factor: 10 - Q12",
"scale": "Seconds",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"parent": "3e84b2d01ae7ee0550c9911c298ebea0678ae176",
"results": {
"a": {
"value": 48.54096985000000330501279677264392375946044921875,
"test_run_times": [
1178.470000000000027284841053187847137451171875
]
},
"b": {
"value": 47.39456177000000280941094388253986835479736328125,
"test_run_times": [
1164.529999999999972715158946812152862548828125
]
}
}
},
"96c82d982fce91111e065d1bcf9df83047ef2ff2": {
"identifier": "pts\/spark-tpch-1.0.0",
"title": "Apache Spark TPC-H",
"app_version": "3.5",
"arguments": "-s 10",
"description": "Scale Factor: 10 - Q11",
"scale": "Seconds",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"parent": "3e84b2d01ae7ee0550c9911c298ebea0678ae176",
"results": {
"a": {
"value": 10.597480770000000660502337268553674221038818359375,
"test_run_times": [
1178.470000000000027284841053187847137451171875
]
},
"b": {
"value": 10.9613199199999993282972354791127145290374755859375,
"test_run_times": [
1164.529999999999972715158946812152862548828125
]
}
}
},
"8846518ca7f29cd91d9737b16acf5f822e62c39d": {
"identifier": "pts\/spark-tpch-1.0.0",
"title": "Apache Spark TPC-H",
"app_version": "3.5",
"arguments": "-s 10",
"description": "Scale Factor: 10 - Q10",
"scale": "Seconds",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"parent": "3e84b2d01ae7ee0550c9911c298ebea0678ae176",
"results": {
"a": {
"value": 51.2323379500000015696059563197195529937744140625,
"test_run_times": [
1178.470000000000027284841053187847137451171875
]
},
"b": {
"value": 51.31714249000000194200765690766274929046630859375,
"test_run_times": [
1164.529999999999972715158946812152862548828125
]
}
}
},
"e858f84bf6f7bf851a7218fb5afd16d0aac265d9": {
"identifier": "pts\/spark-tpch-1.0.0",
"title": "Apache Spark TPC-H",
"app_version": "3.5",
"arguments": "-s 10",
"description": "Scale Factor: 10 - Q09",
"scale": "Seconds",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"parent": "3e84b2d01ae7ee0550c9911c298ebea0678ae176",
"results": {
"a": {
"value": 73.7576141400000011572046787478029727935791015625,
"test_run_times": [
1178.470000000000027284841053187847137451171875
]
},
"b": {
"value": 73.32006835999999339037458412349224090576171875,
"test_run_times": [
1164.529999999999972715158946812152862548828125
]
}
}
},
"331502f7730345bcb204fd7b25cfe689c23755a0": {
"identifier": "pts\/spark-tpch-1.0.0",
"title": "Apache Spark TPC-H",
"app_version": "3.5",
"arguments": "-s 10",
"description": "Scale Factor: 10 - Q08",
"scale": "Seconds",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"parent": "3e84b2d01ae7ee0550c9911c298ebea0678ae176",
"results": {
"a": {
"value": 62.18651581000000305721187032759189605712890625,
"test_run_times": [
1178.470000000000027284841053187847137451171875
]
},
"b": {
"value": 60.07417679000000276801074505783617496490478515625,
"test_run_times": [
1164.529999999999972715158946812152862548828125
]
}
}
},
"ffd01a08f795e70d6a02e422669bce9b91628a6f": {
"identifier": "pts\/spark-tpch-1.0.0",
"title": "Apache Spark TPC-H",
"app_version": "3.5",
"arguments": "-s 10",
"description": "Scale Factor: 10 - Q07",
"scale": "Seconds",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"parent": "3e84b2d01ae7ee0550c9911c298ebea0678ae176",
"results": {
"a": {
"value": 54.82960891999999830659362487494945526123046875,
"test_run_times": [
1178.470000000000027284841053187847137451171875
]
},
"b": {
"value": 55.6137847899999968603879096917808055877685546875,
"test_run_times": [
1164.529999999999972715158946812152862548828125
]
}
}
},
"e3fc2714676ca71af71bc0458215d2d957684c99": {
"identifier": "pts\/spark-tpch-1.0.0",
"title": "Apache Spark TPC-H",
"app_version": "3.5",
"arguments": "-s 10",
"description": "Scale Factor: 10 - Q06",
"scale": "Seconds",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"parent": "3e84b2d01ae7ee0550c9911c298ebea0678ae176",
"results": {
"a": {
"value": 36.5631408699999980171924107708036899566650390625,
"test_run_times": [
1178.470000000000027284841053187847137451171875
]
},
"b": {
"value": 37.0597267200000004550020094029605388641357421875,
"test_run_times": [
1164.529999999999972715158946812152862548828125
]
}
}
},
"4f543278efec72f5d4b5f533d14432e0173e78b4": {
"identifier": "pts\/spark-tpch-1.0.0",
"title": "Apache Spark TPC-H",
"app_version": "3.5",
"arguments": "-s 10",
"description": "Scale Factor: 10 - Q05",
"scale": "Seconds",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"parent": "3e84b2d01ae7ee0550c9911c298ebea0678ae176",
"results": {
"a": {
"value": 62.502300259999998388593667186796665191650390625,
"test_run_times": [
1178.470000000000027284841053187847137451171875
]
},
"b": {
"value": 66.5027389499999941335772746242582798004150390625,
"test_run_times": [
1164.529999999999972715158946812152862548828125
]
}
}
},
"d1a831e086894e552d0ca328e16453a050d98eb1": {
"identifier": "pts\/spark-tpch-1.0.0",
"title": "Apache Spark TPC-H",
"app_version": "3.5",
"arguments": "-s 10",
"description": "Scale Factor: 10 - Q04",
"scale": "Seconds",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"parent": "3e84b2d01ae7ee0550c9911c298ebea0678ae176",
"results": {
"a": {
"value": 48.47943115000000346981323673389852046966552734375,
"test_run_times": [
1178.470000000000027284841053187847137451171875
]
},
"b": {
"value": 48.52398681999999752179064671508967876434326171875,
"test_run_times": [
1164.529999999999972715158946812152862548828125
]
}
}
},
"0ed2cfdda734ce3fe0d7dda2440b5b40613b1f91": {
"identifier": "pts\/spark-tpch-1.0.0",
"title": "Apache Spark TPC-H",
"app_version": "3.5",
"arguments": "-s 10",
"description": "Scale Factor: 10 - Q03",
"scale": "Seconds",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"parent": "3e84b2d01ae7ee0550c9911c298ebea0678ae176",
"results": {
"a": {
"value": 55.93705750000000165300662047229707241058349609375,
"test_run_times": [
1178.470000000000027284841053187847137451171875
]
},
"b": {
"value": 55.57704926000000256181010627187788486480712890625,
"test_run_times": [
1164.529999999999972715158946812152862548828125
]
}
}
},
"2f4de7e794a4a2bf3fb33839d779a0e39380448f": {
"identifier": "pts\/spark-tpch-1.0.0",
"title": "Apache Spark TPC-H",
"app_version": "3.5",
"arguments": "-s 10",
"description": "Scale Factor: 10 - Q02",
"scale": "Seconds",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"parent": "3e84b2d01ae7ee0550c9911c298ebea0678ae176",
"results": {
"a": {
"value": 12.79198932999999982484951033256947994232177734375,
"test_run_times": [
1178.470000000000027284841053187847137451171875
]
},
"b": {
"value": 12.1880130799999992774473867029882967472076416015625,
"test_run_times": [
1164.529999999999972715158946812152862548828125
]
}
}
},
"3cbe669108b2eaf1291aaba7c9b28a3370b1ae5f": {
"identifier": "pts\/spark-tpch-1.0.0",
"title": "Apache Spark TPC-H",
"app_version": "3.5",
"arguments": "-s 10",
"description": "Scale Factor: 10 - Q01",
"scale": "Seconds",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"parent": "3e84b2d01ae7ee0550c9911c298ebea0678ae176",
"results": {
"a": {
"value": 41.60556792999999942139766062609851360321044921875,
"test_run_times": [
1178.470000000000027284841053187847137451171875
]
},
"b": {
"value": 44.68072128000000020620063878595829010009765625,
"test_run_times": [
1164.529999999999972715158946812152862548828125
]
}
}
},
"3e84b2d01ae7ee0550c9911c298ebea0678ae176": {
"identifier": "pts\/spark-tpch-1.0.0",
"title": "Apache Spark TPC-H",
"app_version": "3.5",
"arguments": "-s 10",
"description": "Scale Factor: 10 - Geometric Mean Of All Queries",
"scale": "Seconds",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 41.8201584899999971867146086879074573516845703125,
"min_result": [
"10.6"
],
"max_result": [
"196.26"
],
"test_run_times": [
1178.470000000000027284841053187847137451171875
]
},
"b": {
"value": 41.34495883999999676916559110395610332489013671875,
"min_result": [
"10.96"
],
"max_result": [
"189.4"
],
"test_run_times": [
1164.529999999999972715158946812152862548828125
]
}
}
},
"1de19da70064fa73db2a1fcca2bdd3ac7e07a0b6": {
"identifier": "pts\/webp2-1.2.1",
"title": "WebP2 Image Encode",
"app_version": "20220823",
"arguments": "-q 75 -effort 7",
"description": "Encode Settings: Quality 75, Compression Effort 7",
"scale": "MP\/s",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 0.0299999999999999988897769753748434595763683319091796875,
"raw_values": [
0.0289249325687510015769898785720215528272092342376708984375
],
"test_run_times": [
829.9099999999999681676854379475116729736328125
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-msse4.2 -fno-rtti -O3 -ldl"
}
}
},
"b": {
"value": 0.0299999999999999988897769753748434595763683319091796875,
"raw_values": [
0.0288326731852539992762007869941953686065971851348876953125
],
"test_run_times": [
832.549999999999954525264911353588104248046875
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-msse4.2 -fno-rtti -O3 -ldl"
}
}
}
}
},
"990a88e4294b8e246c7f8296e1c5431f06eb369c": {
"identifier": "pts\/xmrig-1.2.0",
"title": "Xmrig",
"app_version": "6.21",
"arguments": "-a cn-heavy\/0 --bench=1M",
"description": "Variant: CryptoNight-Heavy - Hash Count: 1M",
"scale": "H\/s",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 1298.799999999999954525264911353588104248046875,
"test_run_times": [
774.4099999999999681676854379475116729736328125
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc"
}
}
},
"b": {
"value": 1282.09999999999990905052982270717620849609375,
"test_run_times": [
784.44000000000005456968210637569427490234375
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc"
}
}
}
}
},
"818a69a5f4ebff2e4bb2c759fe2a8d0dd0452dad": {
"identifier": "pts\/xmrig-1.2.0",
"title": "Xmrig",
"app_version": "6.21",
"arguments": "-a cn\/upx2 --bench=1M",
"description": "Variant: CryptoNight-Femto UPX2 - Hash Count: 1M",
"scale": "H\/s",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 1302.299999999999954525264911353588104248046875,
"test_run_times": [
772.3600000000000136424205265939235687255859375
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc"
}
}
},
"b": {
"value": 1281.700000000000045474735088646411895751953125,
"test_run_times": [
784.6599999999999681676854379475116729736328125
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc"
}
}
}
}
},
"40e6f71b11b5fa11b51d184848040716189668b7": {
"identifier": "pts\/xmrig-1.2.0",
"title": "Xmrig",
"app_version": "6.21",
"arguments": "--bench=1M",
"description": "Variant: Monero - Hash Count: 1M",
"scale": "H\/s",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 1308.09999999999990905052982270717620849609375,
"test_run_times": [
768.9299999999999499777914024889469146728515625
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc"
}
}
},
"b": {
"value": 1290.299999999999954525264911353588104248046875,
"test_run_times": [
779.4600000000000363797880709171295166015625
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc"
}
}
}
}
},
"4f1143b9eb648135d9abf519fd418b332528343f": {
"identifier": "pts\/xmrig-1.2.0",
"title": "Xmrig",
"app_version": "6.21",
"arguments": "-a kawpow --bench=1M",
"description": "Variant: KawPow - Hash Count: 1M",
"scale": "H\/s",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 1296.40000000000009094947017729282379150390625,
"test_run_times": [
775.990000000000009094947017729282379150390625
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc"
}
}
},
"b": {
"value": 1333.90000000000009094947017729282379150390625,
"test_run_times": [
754.2100000000000363797880709171295166015625
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc"
}
}
}
}
},
"4d8e8ba34b6c45a42169dbb1384a050822d0fa72": {
"identifier": "pts\/xmrig-1.2.0",
"title": "Xmrig",
"app_version": "6.21",
"arguments": "-a rx\/wow --bench=1M",
"description": "Variant: Wownero - Hash Count: 1M",
"scale": "H\/s",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 1573.59999999999990905052982270717620849609375,
"test_run_times": [
639.970000000000027284841053187847137451171875
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc"
}
}
},
"b": {
"value": 1524.200000000000045474735088646411895751953125,
"test_run_times": [
660.549999999999954525264911353588104248046875
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc"
}
}
}
}
},
"ab7b1e284f00adf277eb0c7e548ec0276757edcf": {
"identifier": "pts\/lczero-1.7.0",
"title": "LeelaChessZero",
"app_version": "0.30",
"arguments": "-b eigen",
"description": "Backend: Eigen",
"scale": "Nodes Per Second",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 20,
"test_run_times": [
373.009999999999990905052982270717620849609375
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-flto -pthread"
}
}
},
"b": {
"value": 24,
"test_run_times": [
368.30000000000001136868377216160297393798828125
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-flto -pthread"
}
}
}
}
},
"5fa176cc50862c4db0a5446794759786be71a046": {
"identifier": "pts\/lczero-1.7.0",
"title": "LeelaChessZero",
"app_version": "0.30",
"arguments": "-b blas",
"description": "Backend: BLAS",
"scale": "Nodes Per Second",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 32,
"test_run_times": [
368.18999999999999772626324556767940521240234375
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-flto -pthread"
}
}
},
"b": {
"value": 45,
"test_run_times": [
367.6200000000000045474735088646411895751953125
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-flto -pthread"
}
}
}
}
},
"5faad2eeccf95a6c2fcf92a16ab8952107f7ac7e": {
"identifier": "pts\/svt-av1-2.11.1",
"title": "SVT-AV1",
"app_version": "1.8",
"arguments": "--preset 4 -n 160 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160",
"description": "Encoder Mode: Preset 4 - Input: Bosphorus 4K",
"scale": "Frames Per Second",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 0.89200000000000001509903313490212894976139068603515625,
"test_run_times": [
180.469999999999998863131622783839702606201171875
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq"
}
}
},
"b": {
"value": 0.85799999999999998490096686509787105023860931396484375,
"test_run_times": [
187.68999999999999772626324556767940521240234375
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq"
}
}
}
}
},
"184e034aaefabd0cbc6fc378bf2969fb7519f85f": {
"identifier": "system\/openssl-1.2.0",
"title": "OpenSSL",
"app_version": " ",
"arguments": "sha256",
"description": "Algorithm: SHA256",
"scale": "byte\/s",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 2139384230,
"test_run_times": [
180.05000000000001136868377216160297393798828125
],
"details": {
"install-footnote": "OpenSSL 3.0.8 7 Feb 2023 (Library: OpenSSL 3.0.8 7 Feb 2023)"
}
},
"b": {
"value": 2104039050,
"test_run_times": [
180.030000000000001136868377216160297393798828125
],
"details": {
"install-footnote": "OpenSSL 3.0.8 7 Feb 2023 (Library: OpenSSL 3.0.8 7 Feb 2023)"
}
}
}
},
"22c470f071aadc74c2d7f53357fefa38e3ce78f5": {
"identifier": "system\/openssl-1.2.0",
"title": "OpenSSL",
"app_version": " ",
"arguments": "-evp aes-128-gcm",
"description": "Algorithm: AES-128-GCM",
"scale": "byte\/s",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 15202890820,
"test_run_times": [
180.020000000000010231815394945442676544189453125
],
"details": {
"install-footnote": "OpenSSL 3.0.8 7 Feb 2023 (Library: OpenSSL 3.0.8 7 Feb 2023)"
}
},
"b": {
"value": 15081739060,
"test_run_times": [
180.05000000000001136868377216160297393798828125
],
"details": {
"install-footnote": "OpenSSL 3.0.8 7 Feb 2023 (Library: OpenSSL 3.0.8 7 Feb 2023)"
}
}
}
},
"2a5a79ac622e3b7ab8b42ce46109a30646604f36": {
"identifier": "system\/openssl-1.2.0",
"title": "OpenSSL",
"app_version": " ",
"arguments": "-evp chacha20-poly1305",
"description": "Algorithm: ChaCha20-Poly1305",
"scale": "byte\/s",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 10536056700,
"test_run_times": [
180.020000000000010231815394945442676544189453125
],
"details": {
"install-footnote": "OpenSSL 3.0.8 7 Feb 2023 (Library: OpenSSL 3.0.8 7 Feb 2023)"
}
},
"b": {
"value": 9830306880,
"test_run_times": [
180.020000000000010231815394945442676544189453125
],
"details": {
"install-footnote": "OpenSSL 3.0.8 7 Feb 2023 (Library: OpenSSL 3.0.8 7 Feb 2023)"
}
}
}
},
"94eb166acfb5962c3e59977001da05688830d5d4": {
"identifier": "system\/openssl-1.2.0",
"title": "OpenSSL",
"app_version": " ",
"arguments": "-evp aes-256-gcm",
"description": "Algorithm: AES-256-GCM",
"scale": "byte\/s",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 13364107950,
"test_run_times": [
180.020000000000010231815394945442676544189453125
],
"details": {
"install-footnote": "OpenSSL 3.0.8 7 Feb 2023 (Library: OpenSSL 3.0.8 7 Feb 2023)"
}
},
"b": {
"value": 12548378350,
"test_run_times": [
180.020000000000010231815394945442676544189453125
],
"details": {
"install-footnote": "OpenSSL 3.0.8 7 Feb 2023 (Library: OpenSSL 3.0.8 7 Feb 2023)"
}
}
}
},
"27266cc7415cc9d8f6e4b83f9efa24b4cc709a70": {
"identifier": "system\/openssl-1.2.0",
"title": "OpenSSL",
"app_version": " ",
"arguments": "-evp chacha20",
"description": "Algorithm: ChaCha20",
"scale": "byte\/s",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 15375647270,
"test_run_times": [
180.020000000000010231815394945442676544189453125
],
"details": {
"install-footnote": "OpenSSL 3.0.8 7 Feb 2023 (Library: OpenSSL 3.0.8 7 Feb 2023)"
}
},
"b": {
"value": 14830093930,
"test_run_times": [
180.020000000000010231815394945442676544189453125
],
"details": {
"install-footnote": "OpenSSL 3.0.8 7 Feb 2023 (Library: OpenSSL 3.0.8 7 Feb 2023)"
}
}
}
},
"494dab8e5fe54e17b767f36fdc2f26767255eef4": {
"identifier": "system\/openssl-1.2.0",
"title": "OpenSSL",
"app_version": " ",
"arguments": "sha512",
"description": "Algorithm: SHA512",
"scale": "byte\/s",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 856037790,
"test_run_times": [
180.020000000000010231815394945442676544189453125
],
"details": {
"install-footnote": "OpenSSL 3.0.8 7 Feb 2023 (Library: OpenSSL 3.0.8 7 Feb 2023)"
}
},
"b": {
"value": 813051380,
"test_run_times": [
180.020000000000010231815394945442676544189453125
],
"details": {
"install-footnote": "OpenSSL 3.0.8 7 Feb 2023 (Library: OpenSSL 3.0.8 7 Feb 2023)"
}
}
}
},
"7f21f67d7fcf3baee208ffbf7f49e4fbbe53e9e8": {
"identifier": "pts\/scylladb-1.0.0",
"title": "ScyllaDB",
"app_version": "5.2.9",
"arguments": "WRITE",
"description": "Test: Writes",
"scale": "Op\/s",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 27851,
"test_run_times": [
163.159999999999996589394868351519107818603515625
]
},
"b": {
"value": 25475,
"test_run_times": [
169.990000000000009094947017729282379150390625
]
}
}
},
"1038fd7d4a27858f5ed637bbdf8d43b0f7059120": {
"identifier": "pts\/spark-tpch-1.0.0",
"title": "Apache Spark TPC-H",
"app_version": "3.5",
"arguments": "-s 1",
"description": "Scale Factor: 1 - Q22",
"scale": "Seconds",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"parent": "3839e66866895d4c11542e19e018090618c01ed3",
"results": {
"a": {
"value": 2.249962809999999979737594912876375019550323486328125,
"test_run_times": [
135.18999999999999772626324556767940521240234375
]
},
"b": {
"value": 2.047106980000000131525439428514800965785980224609375,
"test_run_times": [
138.270000000000010231815394945442676544189453125
]
}
}
},
"667b9fec117e9447e77f309e25e3ab01a671c6ee": {
"identifier": "pts\/spark-tpch-1.0.0",
"title": "Apache Spark TPC-H",
"app_version": "3.5",
"arguments": "-s 1",
"description": "Scale Factor: 1 - Q21",
"scale": "Seconds",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"parent": "3839e66866895d4c11542e19e018090618c01ed3",
"results": {
"a": {
"value": 20.618951800000001384205461363308131694793701171875,
"test_run_times": [
135.18999999999999772626324556767940521240234375
]
},
"b": {
"value": 20.035987850000001486705514253117144107818603515625,
"test_run_times": [
138.270000000000010231815394945442676544189453125
]
}
}
},
"08f65794bab112978be073c508883a00c942420a": {
"identifier": "pts\/spark-tpch-1.0.0",
"title": "Apache Spark TPC-H",
"app_version": "3.5",
"arguments": "-s 1",
"description": "Scale Factor: 1 - Q20",
"scale": "Seconds",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"parent": "3839e66866895d4c11542e19e018090618c01ed3",
"results": {
"a": {
"value": 4.86529493000000012870032151113264262676239013671875,
"test_run_times": [
135.18999999999999772626324556767940521240234375
]
},
"b": {
"value": 5.14292621999999965964889270253479480743408203125,
"test_run_times": [
138.270000000000010231815394945442676544189453125
]
}
}
},
"b00a2d6a7ee7d6acec8c5cb332b26d05bfe84e5e": {
"identifier": "pts\/spark-tpch-1.0.0",
"title": "Apache Spark TPC-H",
"app_version": "3.5",
"arguments": "-s 1",
"description": "Scale Factor: 1 - Q19",
"scale": "Seconds",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"parent": "3839e66866895d4c11542e19e018090618c01ed3",
"results": {
"a": {
"value": 4.04202413999999965454890116234309971332550048828125,
"test_run_times": [
135.18999999999999772626324556767940521240234375
]
},
"b": {
"value": 3.573512549999999787786464366945438086986541748046875,
"test_run_times": [
138.270000000000010231815394945442676544189453125
]
}
}
},
"97d5d7b982e8495d2440dab19cd0fff3f3e1f73b": {
"identifier": "pts\/spark-tpch-1.0.0",
"title": "Apache Spark TPC-H",
"app_version": "3.5",
"arguments": "-s 1",
"description": "Scale Factor: 1 - Q18",
"scale": "Seconds",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"parent": "3839e66866895d4c11542e19e018090618c01ed3",
"results": {
"a": {
"value": 10.343193049999999999499777914024889469146728515625,
"test_run_times": [
135.18999999999999772626324556767940521240234375
]
},
"b": {
"value": 10.1979684800000001132502802647650241851806640625,
"test_run_times": [
138.270000000000010231815394945442676544189453125
]
}
}
},
"17ddcad9c750b1678e457b9bc186f966042a8265": {
"identifier": "pts\/spark-tpch-1.0.0",
"title": "Apache Spark TPC-H",
"app_version": "3.5",
"arguments": "-s 1",
"description": "Scale Factor: 1 - Q17",
"scale": "Seconds",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"parent": "3839e66866895d4c11542e19e018090618c01ed3",
"results": {
"a": {
"value": 8.404414179999999845449565327726304531097412109375,
"test_run_times": [
135.18999999999999772626324556767940521240234375
]
},
"b": {
"value": 8.57745552000000088810338638722896575927734375,
"test_run_times": [
138.270000000000010231815394945442676544189453125
]
}
}
},
"237747b84d84430f39651813934d96b4b24b5d90": {
"identifier": "pts\/spark-tpch-1.0.0",
"title": "Apache Spark TPC-H",
"app_version": "3.5",
"arguments": "-s 1",
"description": "Scale Factor: 1 - Q16",
"scale": "Seconds",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"parent": "3839e66866895d4c11542e19e018090618c01ed3",
"results": {
"a": {
"value": 1.7238117500000000870130634211818687617778778076171875,
"test_run_times": [
135.18999999999999772626324556767940521240234375
]
},
"b": {
"value": 2.04605531999999978864934746525250375270843505859375,
"test_run_times": [
138.270000000000010231815394945442676544189453125
]
}
}
},
"c2da3e2fc1946e58a884de6c031b028a19e7148d": {
"identifier": "pts\/spark-tpch-1.0.0",
"title": "Apache Spark TPC-H",
"app_version": "3.5",
"arguments": "-s 1",
"description": "Scale Factor: 1 - Q15",
"scale": "Seconds",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"parent": "3839e66866895d4c11542e19e018090618c01ed3",
"results": {
"a": {
"value": 3.910552500000000097912788987741805613040924072265625,
"test_run_times": [
135.18999999999999772626324556767940521240234375
]
},
"b": {
"value": 3.8403830499999997982740751467645168304443359375,
"test_run_times": [
138.270000000000010231815394945442676544189453125
]
}
}
},
"d27aab7b368fb9669c294cd85380a19444340749": {
"identifier": "pts\/spark-tpch-1.0.0",
"title": "Apache Spark TPC-H",
"app_version": "3.5",
"arguments": "-s 1",
"description": "Scale Factor: 1 - Q14",
"scale": "Seconds",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"parent": "3839e66866895d4c11542e19e018090618c01ed3",
"results": {
"a": {
"value": 3.693408010000000185613089342950843274593353271484375,
"test_run_times": [
135.18999999999999772626324556767940521240234375
]
},
"b": {
"value": 3.972354409999999891311972533003427088260650634765625,
"test_run_times": [
138.270000000000010231815394945442676544189453125
]
}
}
},
"edb0d0909f27a4c885f013b069f5635ccff235c5": {
"identifier": "pts\/spark-tpch-1.0.0",
"title": "Apache Spark TPC-H",
"app_version": "3.5",
"arguments": "-s 1",
"description": "Scale Factor: 1 - Q13",
"scale": "Seconds",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"parent": "3839e66866895d4c11542e19e018090618c01ed3",
"results": {
"a": {
"value": 3.23068547000000005908759703743271529674530029296875,
"test_run_times": [
135.18999999999999772626324556767940521240234375
]
},
"b": {
"value": 2.9968821999999999405872586066834628582000732421875,
"test_run_times": [
138.270000000000010231815394945442676544189453125
]
}
}
},
"2819e99ff39e485d43298a9bb585d40351727fa6": {
"identifier": "pts\/spark-tpch-1.0.0",
"title": "Apache Spark TPC-H",
"app_version": "3.5",
"arguments": "-s 1",
"description": "Scale Factor: 1 - Q12",
"scale": "Seconds",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"parent": "3839e66866895d4c11542e19e018090618c01ed3",
"results": {
"a": {
"value": 5.0253195799999996751239450532011687755584716796875,
"test_run_times": [
135.18999999999999772626324556767940521240234375
]
},
"b": {
"value": 4.83623694999999997889972291886806488037109375,
"test_run_times": [
138.270000000000010231815394945442676544189453125
]
}
}
},
"7a2634a6a9169f7c019048ed78a82af59fb59f67": {
"identifier": "pts\/spark-tpch-1.0.0",
"title": "Apache Spark TPC-H",
"app_version": "3.5",
"arguments": "-s 1",
"description": "Scale Factor: 1 - Q11",
"scale": "Seconds",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"parent": "3839e66866895d4c11542e19e018090618c01ed3",
"results": {
"a": {
"value": 1.937303659999999982943563736625947058200836181640625,
"test_run_times": [
135.18999999999999772626324556767940521240234375
]
},
"b": {
"value": 2.020401720000000178600885192281566560268402099609375,
"test_run_times": [
138.270000000000010231815394945442676544189453125
]
}
}
},
"6dca9177efb7ac022803115f9744a739bf7d2dbf": {
"identifier": "pts\/spark-tpch-1.0.0",
"title": "Apache Spark TPC-H",
"app_version": "3.5",
"arguments": "-s 1",
"description": "Scale Factor: 1 - Q10",
"scale": "Seconds",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"parent": "3839e66866895d4c11542e19e018090618c01ed3",
"results": {
"a": {
"value": 5.49699688000000019627577785286121070384979248046875,
"test_run_times": [
135.18999999999999772626324556767940521240234375
]
},
"b": {
"value": 5.9617190400000001915259417728520929813385009765625,
"test_run_times": [
138.270000000000010231815394945442676544189453125
]
}
}
},
"67667611810ce2892ec290511f056f18cc3439dc": {
"identifier": "pts\/spark-tpch-1.0.0",
"title": "Apache Spark TPC-H",
"app_version": "3.5",
"arguments": "-s 1",
"description": "Scale Factor: 1 - Q09",
"scale": "Seconds",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"parent": "3839e66866895d4c11542e19e018090618c01ed3",
"results": {
"a": {
"value": 7.872983930000000185600583790801465511322021484375,
"test_run_times": [
135.18999999999999772626324556767940521240234375
]
},
"b": {
"value": 8.69179630000000003064997144974768161773681640625,
"test_run_times": [
138.270000000000010231815394945442676544189453125
]
}
}
},
"407b816162771fc52c67783fbc7ed6e3b585f80a": {
"identifier": "pts\/spark-tpch-1.0.0",
"title": "Apache Spark TPC-H",
"app_version": "3.5",
"arguments": "-s 1",
"description": "Scale Factor: 1 - Q08",
"scale": "Seconds",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"parent": "3839e66866895d4c11542e19e018090618c01ed3",
"results": {
"a": {
"value": 4.97744513000000043945192373939789831638336181640625,
"test_run_times": [
135.18999999999999772626324556767940521240234375
]
},
"b": {
"value": 5.443890090000000014924808056093752384185791015625,
"test_run_times": [
138.270000000000010231815394945442676544189453125
]
}
}
},
"3c61476d3fe480804704309338585dd5a0d1119a": {
"identifier": "pts\/spark-tpch-1.0.0",
"title": "Apache Spark TPC-H",
"app_version": "3.5",
"arguments": "-s 1",
"description": "Scale Factor: 1 - Q07",
"scale": "Seconds",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"parent": "3839e66866895d4c11542e19e018090618c01ed3",
"results": {
"a": {
"value": 6.482258319999999685023794881999492645263671875,
"test_run_times": [
135.18999999999999772626324556767940521240234375
]
},
"b": {
"value": 5.844977379999999556048351223580539226531982421875,
"test_run_times": [
138.270000000000010231815394945442676544189453125
]
}
}
},
"6d5cb73edae5b83bc1b51474714c8fd35e52e7d7": {
"identifier": "pts\/spark-tpch-1.0.0",
"title": "Apache Spark TPC-H",
"app_version": "3.5",
"arguments": "-s 1",
"description": "Scale Factor: 1 - Q06",
"scale": "Seconds",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"parent": "3839e66866895d4c11542e19e018090618c01ed3",
"results": {
"a": {
"value": 3.51144051999999984303713063127361238002777099609375,
"test_run_times": [
135.18999999999999772626324556767940521240234375
]
},
"b": {
"value": 3.244642499999999873949718676158227026462554931640625,
"test_run_times": [
138.270000000000010231815394945442676544189453125
]
}
}
},
"8ebf347a8ee1522ca43f4048ebba480c3e2e5507": {
"identifier": "pts\/spark-tpch-1.0.0",
"title": "Apache Spark TPC-H",
"app_version": "3.5",
"arguments": "-s 1",
"description": "Scale Factor: 1 - Q05",
"scale": "Seconds",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"parent": "3839e66866895d4c11542e19e018090618c01ed3",
"results": {
"a": {
"value": 6.3854021999999996950236891279928386211395263671875,
"test_run_times": [
135.18999999999999772626324556767940521240234375
]
},
"b": {
"value": 7.1133065200000000771751729189418256282806396484375,
"test_run_times": [
138.270000000000010231815394945442676544189453125
]
}
}
},
"58d63d4818158a9293382ffec5a97490c754fe67": {
"identifier": "pts\/spark-tpch-1.0.0",
"title": "Apache Spark TPC-H",
"app_version": "3.5",
"arguments": "-s 1",
"description": "Scale Factor: 1 - Q04",
"scale": "Seconds",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"parent": "3839e66866895d4c11542e19e018090618c01ed3",
"results": {
"a": {
"value": 6.71648931999999998510020304820500314235687255859375,
"test_run_times": [
135.18999999999999772626324556767940521240234375
]
},
"b": {
"value": 7.08578300000000016467538443976081907749176025390625,
"test_run_times": [
138.270000000000010231815394945442676544189453125
]
}
}
},
"202fe1f00582439ca516dfdcd3b4b2e6e3ad41ca": {
"identifier": "pts\/spark-tpch-1.0.0",
"title": "Apache Spark TPC-H",
"app_version": "3.5",
"arguments": "-s 1",
"description": "Scale Factor: 1 - Q03",
"scale": "Seconds",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"parent": "3839e66866895d4c11542e19e018090618c01ed3",
"results": {
"a": {
"value": 6.39238787000000030502633308060467243194580078125,
"test_run_times": [
135.18999999999999772626324556767940521240234375
]
},
"b": {
"value": 7.07467793999999994269956005155108869075775146484375,
"test_run_times": [
138.270000000000010231815394945442676544189453125
]
}
}
},
"ee14afb28b163d6ab050d408069970a7f7525bb2": {
"identifier": "pts\/spark-tpch-1.0.0",
"title": "Apache Spark TPC-H",
"app_version": "3.5",
"arguments": "-s 1",
"description": "Scale Factor: 1 - Q02",
"scale": "Seconds",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"parent": "3839e66866895d4c11542e19e018090618c01ed3",
"results": {
"a": {
"value": 3.888909099999999785524096296285279095172882080078125,
"test_run_times": [
135.18999999999999772626324556767940521240234375
]
},
"b": {
"value": 3.4179732800000000025875124265439808368682861328125,
"test_run_times": [
138.270000000000010231815394945442676544189453125
]
}
}
},
"145d389a201051bdcf6cb842d2efa1d19962cbe3": {
"identifier": "pts\/spark-tpch-1.0.0",
"title": "Apache Spark TPC-H",
"app_version": "3.5",
"arguments": "-s 1",
"description": "Scale Factor: 1 - Q01",
"scale": "Seconds",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"parent": "3839e66866895d4c11542e19e018090618c01ed3",
"results": {
"a": {
"value": 7.15123463000000025857616492430679500102996826171875,
"test_run_times": [
135.18999999999999772626324556767940521240234375
]
},
"b": {
"value": 7.087840560000000067475411924533545970916748046875,
"test_run_times": [
138.270000000000010231815394945442676544189453125
]
}
}
},
"3839e66866895d4c11542e19e018090618c01ed3": {
"identifier": "pts\/spark-tpch-1.0.0",
"title": "Apache Spark TPC-H",
"app_version": "3.5",
"arguments": "-s 1",
"description": "Scale Factor: 1 - Geometric Mean Of All Queries",
"scale": "Seconds",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 4.732525700000000057343640946783125400543212890625,
"min_result": [
"1.72"
],
"max_result": [
"20.62"
],
"test_run_times": [
135.18999999999999772626324556767940521240234375
]
},
"b": {
"value": 4.8087435999999996738551999442279338836669921875,
"min_result": [
"2.02"
],
"max_result": [
"20.04"
],
"test_run_times": [
138.270000000000010231815394945442676544189453125
]
}
}
},
"c14d0b5ebcf53498668c8654883e64476ca9e6cb": {
"identifier": "pts\/svt-av1-2.11.1",
"title": "SVT-AV1",
"app_version": "1.8",
"arguments": "--preset 8 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160",
"description": "Encoder Mode: Preset 8 - Input: Bosphorus 4K",
"scale": "Frames Per Second",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 7.04399999999999959499064061674289405345916748046875,
"test_run_times": [
86.1400000000000005684341886080801486968994140625
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq"
}
}
},
"b": {
"value": 6.76499999999999968025576890795491635799407958984375,
"test_run_times": [
89.6299999999999954525264911353588104248046875
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq"
}
}
}
}
},
"9ff1e78c5264f23b5224a84b200df72830b13579": {
"identifier": "pts\/deepsparse-1.6.0",
"title": "Neural Magic DeepSparse",
"app_version": "1.6",
"arguments": "zoo:nlp\/question_answering\/obert-large\/pytorch\/huggingface\/squad\/base-none --input_shapes='[1,128]' --scenario async",
"description": "Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream",
"scale": "ms\/batch",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 737.6541999999999461579136550426483154296875,
"test_run_times": [
90.650000000000005684341886080801486968994140625
]
},
"b": {
"value": 752.23630000000002837623469531536102294921875,
"test_run_times": [
83.159999999999996589394868351519107818603515625
]
}
}
},
"110f1cc60ec0ea7c1af675f5581fd8635260d922": {
"identifier": "pts\/deepsparse-1.6.0",
"title": "Neural Magic DeepSparse",
"app_version": "1.6",
"arguments": "zoo:nlp\/question_answering\/obert-large\/pytorch\/huggingface\/squad\/base-none --input_shapes='[1,128]' --scenario async",
"description": "Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream",
"scale": "items\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 2.70469999999999988204990586382336914539337158203125,
"test_run_times": [
90.650000000000005684341886080801486968994140625
]
},
"b": {
"value": 2.65209999999999990194510246510617434978485107421875,
"test_run_times": [
83.159999999999996589394868351519107818603515625
]
}
}
},
"ef3131cb650fc5296dcb8c35cc5728d21bc68983": {
"identifier": "pts\/deepsparse-1.6.0",
"title": "Neural Magic DeepSparse",
"app_version": "1.6",
"arguments": "zoo:nlp\/question_answering\/obert-large\/pytorch\/huggingface\/squad\/base-none --input_shapes='[1,128]' --scenario sync",
"description": "Model: BERT-Large, NLP Question Answering - Scenario: Synchronous Single-Stream",
"scale": "ms\/batch",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 373.7685000000000172803993336856365203857421875,
"test_run_times": [
77.969999999999998863131622783839702606201171875
]
},
"b": {
"value": 378.90600000000000591171556152403354644775390625,
"test_run_times": [
84.18999999999999772626324556767940521240234375
]
}
}
},
"b4b0dae41eeea56982616df74c29d8fe7770a0a2": {
"identifier": "pts\/deepsparse-1.6.0",
"title": "Neural Magic DeepSparse",
"app_version": "1.6",
"arguments": "zoo:nlp\/question_answering\/obert-large\/pytorch\/huggingface\/squad\/base-none --input_shapes='[1,128]' --scenario sync",
"description": "Model: BERT-Large, NLP Question Answering - Scenario: Synchronous Single-Stream",
"scale": "items\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 2.67530000000000001136868377216160297393798828125,
"test_run_times": [
77.969999999999998863131622783839702606201171875
]
},
"b": {
"value": 2.63910000000000000142108547152020037174224853515625,
"test_run_times": [
84.18999999999999772626324556767940521240234375
]
}
}
},
"17385db8978ad240b7570ed9fb352a7d645e7241": {
"identifier": "system\/openssl-1.2.0",
"title": "OpenSSL",
"app_version": " ",
"arguments": "rsa4096",
"description": "Algorithm: RSA4096",
"scale": "verify\/s",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 45019.300000000002910383045673370361328125,
"test_run_times": [
60.03999999999999914734871708787977695465087890625
],
"details": {
"install-footnote": "OpenSSL 3.0.8 7 Feb 2023 (Library: OpenSSL 3.0.8 7 Feb 2023)"
}
},
"b": {
"value": 43229,
"test_run_times": [
60.03999999999999914734871708787977695465087890625
],
"details": {
"install-footnote": "OpenSSL 3.0.8 7 Feb 2023 (Library: OpenSSL 3.0.8 7 Feb 2023)"
}
}
}
},
"9a5d73681d043e79274c0621f2d372f824063dcc": {
"identifier": "system\/openssl-1.2.0",
"title": "OpenSSL",
"app_version": " ",
"arguments": "rsa4096",
"description": "Algorithm: RSA4096",
"scale": "sign\/s",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 769,
"test_run_times": [
60.03999999999999914734871708787977695465087890625
],
"details": {
"install-footnote": "OpenSSL 3.0.8 7 Feb 2023 (Library: OpenSSL 3.0.8 7 Feb 2023)"
}
},
"b": {
"value": 727.200000000000045474735088646411895751953125,
"test_run_times": [
60.03999999999999914734871708787977695465087890625
],
"details": {
"install-footnote": "OpenSSL 3.0.8 7 Feb 2023 (Library: OpenSSL 3.0.8 7 Feb 2023)"
}
}
}
},
"60f855709ace180c19d54e5d245b05d6b1c7fe03": {
"identifier": "pts\/deepsparse-1.6.0",
"title": "Neural Magic DeepSparse",
"app_version": "1.6",
"arguments": "zoo:nlp\/question_answering\/obert-large\/pytorch\/huggingface\/squad\/pruned97_quant-none --input_shapes='[1,128]' --scenario async",
"description": "Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream",
"scale": "ms\/batch",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 53.516199999999997771737980656325817108154296875,
"test_run_times": [
50.469999999999998863131622783839702606201171875
]
},
"b": {
"value": 54.035200000000003228706191293895244598388671875,
"test_run_times": [
50.72999999999999687361196265555918216705322265625
]
}
}
},
"c0672a4955f7b2ab1a405f869c012f764e80097e": {
"identifier": "pts\/deepsparse-1.6.0",
"title": "Neural Magic DeepSparse",
"app_version": "1.6",
"arguments": "zoo:nlp\/question_answering\/obert-large\/pytorch\/huggingface\/squad\/pruned97_quant-none --input_shapes='[1,128]' --scenario async",
"description": "Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream",
"scale": "items\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 37.33899999999999863575794734060764312744140625,
"test_run_times": [
50.469999999999998863131622783839702606201171875
]
},
"b": {
"value": 36.98190000000000310365066980011761188507080078125,
"test_run_times": [
50.72999999999999687361196265555918216705322265625
]
}
}
},
"6d1bc6324fc6f3c201d57050ed8113b8f3aaa20f": {
"identifier": "pts\/deepsparse-1.6.0",
"title": "Neural Magic DeepSparse",
"app_version": "1.6",
"arguments": "zoo:nlp\/sentiment_analysis\/oberta-base\/pytorch\/huggingface\/sst2\/pruned90_quant-none --input_shapes='[1,128]' --scenario async",
"description": "Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream",
"scale": "ms\/batch",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 23.572800000000000864019966684281826019287109375,
"test_run_times": [
49.47999999999999687361196265555918216705322265625
]
},
"b": {
"value": 23.9438999999999992951416061259806156158447265625,
"test_run_times": [
49.13000000000000255795384873636066913604736328125
]
}
}
},
"f524385817c97baf9338a7ff6f39a7c655b03295": {
"identifier": "pts\/deepsparse-1.6.0",
"title": "Neural Magic DeepSparse",
"app_version": "1.6",
"arguments": "zoo:nlp\/sentiment_analysis\/oberta-base\/pytorch\/huggingface\/sst2\/pruned90_quant-none --input_shapes='[1,128]' --scenario async",
"description": "Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream",
"scale": "items\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 84.70810000000000172803993336856365203857421875,
"test_run_times": [
49.47999999999999687361196265555918216705322265625
]
},
"b": {
"value": 83.38200000000000500222085975110530853271484375,
"test_run_times": [
49.13000000000000255795384873636066913604736328125
]
}
}
},
"45f6d0177f8c6a689eb02824f962c055c66a9292": {
"identifier": "pts\/deepsparse-1.6.0",
"title": "Neural Magic DeepSparse",
"app_version": "1.6",
"arguments": "zoo:nlp\/token_classification\/bert-base\/pytorch\/huggingface\/conll2003\/base-none --scenario async",
"description": "Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream",
"scale": "ms\/batch",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 926.222899999999981446308083832263946533203125,
"test_run_times": [
50.81000000000000227373675443232059478759765625
]
},
"b": {
"value": 931.3365999999999758074409328401088714599609375,
"test_run_times": [
46.75999999999999801048033987171947956085205078125
]
}
}
},
"94d990fdc1f5d799aaa05fc120ac31cf1220b272": {
"identifier": "pts\/deepsparse-1.6.0",
"title": "Neural Magic DeepSparse",
"app_version": "1.6",
"arguments": "zoo:nlp\/token_classification\/bert-base\/pytorch\/huggingface\/conll2003\/base-none --scenario async",
"description": "Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream",
"scale": "items\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 2.153000000000000024868995751603506505489349365234375,
"test_run_times": [
50.81000000000000227373675443232059478759765625
]
},
"b": {
"value": 2.141999999999999904076730672386474907398223876953125,
"test_run_times": [
46.75999999999999801048033987171947956085205078125
]
}
}
},
"4bdc2e856120b16bb5c7704dd9f24c0d445a7eaf": {
"identifier": "pts\/deepsparse-1.6.0",
"title": "Neural Magic DeepSparse",
"app_version": "1.6",
"arguments": "zoo:nlp\/sentiment_analysis\/oberta-base\/pytorch\/huggingface\/sst2\/pruned90_quant-none --input_shapes='[1,128]' --scenario sync",
"description": "Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Synchronous Single-Stream",
"scale": "ms\/batch",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 13.0888000000000008782308213994838297367095947265625,
"test_run_times": [
48.47999999999999687361196265555918216705322265625
]
},
"b": {
"value": 13.3089999999999992752464095246978104114532470703125,
"test_run_times": [
49
]
}
}
},
"1414e9d238abf3c69640ae7afe5a8630f728e27e": {
"identifier": "pts\/deepsparse-1.6.0",
"title": "Neural Magic DeepSparse",
"app_version": "1.6",
"arguments": "zoo:nlp\/sentiment_analysis\/oberta-base\/pytorch\/huggingface\/sst2\/pruned90_quant-none --input_shapes='[1,128]' --scenario sync",
"description": "Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Synchronous Single-Stream",
"scale": "items\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 76.321899999999999408828443847596645355224609375,
"test_run_times": [
48.47999999999999687361196265555918216705322265625
]
},
"b": {
"value": 75.06000000000000227373675443232059478759765625,
"test_run_times": [
49
]
}
}
},
"a006a3a5fe1942cc73bba310b95c090a716a2126": {
"identifier": "pts\/deepsparse-1.6.0",
"title": "Neural Magic DeepSparse",
"app_version": "1.6",
"arguments": "zoo:nlp\/question_answering\/obert-large\/pytorch\/huggingface\/squad\/pruned97_quant-none --input_shapes='[1,128]' --scenario sync",
"description": "Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Synchronous Single-Stream",
"scale": "ms\/batch",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 29.602799999999998448174665099941194057464599609375,
"test_run_times": [
47.88000000000000255795384873636066913604736328125
]
},
"b": {
"value": 29.887100000000000221689333557151257991790771484375,
"test_run_times": [
49.530000000000001136868377216160297393798828125
]
}
}
},
"4b84253f6f74267fbb2b339c2ae5a4541816768d": {
"identifier": "pts\/deepsparse-1.6.0",
"title": "Neural Magic DeepSparse",
"app_version": "1.6",
"arguments": "zoo:nlp\/question_answering\/obert-large\/pytorch\/huggingface\/squad\/pruned97_quant-none --input_shapes='[1,128]' --scenario sync",
"description": "Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Synchronous Single-Stream",
"scale": "items\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 33.75739999999999696456143283285200595855712890625,
"test_run_times": [
47.88000000000000255795384873636066913604736328125
]
},
"b": {
"value": 33.4371000000000009322320693172514438629150390625,
"test_run_times": [
49.530000000000001136868377216160297393798828125
]
}
}
},
"cfea26185bda60cf1bd972198a894017567ea66d": {
"identifier": "pts\/deepsparse-1.6.0",
"title": "Neural Magic DeepSparse",
"app_version": "1.6",
"arguments": "zoo:nlp\/document_classification\/obert-base\/pytorch\/huggingface\/imdb\/base-none --scenario async",
"description": "Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream",
"scale": "ms\/batch",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 946.7894000000000005456968210637569427490234375,
"test_run_times": [
50.6099999999999994315658113919198513031005859375
]
},
"b": {
"value": 1010.4402000000000043655745685100555419921875,
"test_run_times": [
46.590000000000003410605131648480892181396484375
]
}
}
},
"7177df0983290cc547ee8201e604768da3e0a24a": {
"identifier": "pts\/deepsparse-1.6.0",
"title": "Neural Magic DeepSparse",
"app_version": "1.6",
"arguments": "zoo:nlp\/document_classification\/obert-base\/pytorch\/huggingface\/imdb\/base-none --scenario async",
"description": "Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream",
"scale": "items\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 2.107299999999999950972551232553087174892425537109375,
"test_run_times": [
50.6099999999999994315658113919198513031005859375
]
},
"b": {
"value": 1.9736000000000000209610107049229554831981658935546875,
"test_run_times": [
46.590000000000003410605131648480892181396484375
]
}
}
},
"a2efe4ee2ae3185b2d06fce82479f0651157c55c": {
"identifier": "pts\/deepsparse-1.6.0",
"title": "Neural Magic DeepSparse",
"app_version": "1.6",
"arguments": "zoo:cv\/segmentation\/yolact-darknet53\/pytorch\/dbolya\/coco\/pruned90-none --scenario async",
"description": "Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream",
"scale": "ms\/batch",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 475.157500000000027284841053187847137451171875,
"test_run_times": [
47.9200000000000017053025658242404460906982421875
]
},
"b": {
"value": 480.04649999999998044586391188204288482666015625,
"test_run_times": [
46.86999999999999744204615126363933086395263671875
]
}
}
},
"6089d6134855343b042b5ffe9f952c461140c3ab": {
"identifier": "pts\/deepsparse-1.6.0",
"title": "Neural Magic DeepSparse",
"app_version": "1.6",
"arguments": "zoo:cv\/segmentation\/yolact-darknet53\/pytorch\/dbolya\/coco\/pruned90-none --scenario async",
"description": "Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream",
"scale": "items\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 4.20779999999999976267872625612653791904449462890625,
"test_run_times": [
47.9200000000000017053025658242404460906982421875
]
},
"b": {
"value": 4.16570000000000018047785488306544721126556396484375,
"test_run_times": [
46.86999999999999744204615126363933086395263671875
]
}
}
},
"1f417a129a26ca72098c17e5820805ce0e39abde": {
"identifier": "pts\/deepsparse-1.6.0",
"title": "Neural Magic DeepSparse",
"app_version": "1.6",
"arguments": "zoo:cv\/segmentation\/yolact-darknet53\/pytorch\/dbolya\/coco\/pruned90-none --scenario sync",
"description": "Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream",
"scale": "ms\/batch",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 229.591800000000006320988177321851253509521484375,
"test_run_times": [
45.7999999999999971578290569595992565155029296875
]
},
"b": {
"value": 234.53620000000000800355337560176849365234375,
"test_run_times": [
46.1700000000000017053025658242404460906982421875
]
}
}
},
"783e4fda90b92632a55752f151f8b54fe13bc5a4": {
"identifier": "pts\/deepsparse-1.6.0",
"title": "Neural Magic DeepSparse",
"app_version": "1.6",
"arguments": "zoo:cv\/segmentation\/yolact-darknet53\/pytorch\/dbolya\/coco\/pruned90-none --scenario sync",
"description": "Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream",
"scale": "items\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 4.355000000000000426325641456060111522674560546875,
"test_run_times": [
45.7999999999999971578290569595992565155029296875
]
},
"b": {
"value": 4.26330000000000008952838470577262341976165771484375,
"test_run_times": [
46.1700000000000017053025658242404460906982421875
]
}
}
},
"f685725c528a5d2cf742e05056ea0eefacd5a426": {
"identifier": "pts\/deepsparse-1.6.0",
"title": "Neural Magic DeepSparse",
"app_version": "1.6",
"arguments": "zoo:nlp\/token_classification\/bert-base\/pytorch\/huggingface\/conll2003\/base-none --scenario sync",
"description": "Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream",
"scale": "ms\/batch",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 465.05230000000000245563569478690624237060546875,
"test_run_times": [
45.469999999999998863131622783839702606201171875
]
},
"b": {
"value": 468.48160000000001446096575818955898284912109375,
"test_run_times": [
45.8299999999999982946974341757595539093017578125
]
}
}
},
"a7579910c8f49ef834c189504eac153d4889bd74": {
"identifier": "pts\/deepsparse-1.6.0",
"title": "Neural Magic DeepSparse",
"app_version": "1.6",
"arguments": "zoo:nlp\/token_classification\/bert-base\/pytorch\/huggingface\/conll2003\/base-none --scenario sync",
"description": "Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream",
"scale": "items\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 2.1501999999999998891553332214243710041046142578125,
"test_run_times": [
45.469999999999998863131622783839702606201171875
]
},
"b": {
"value": 2.13450000000000006394884621840901672840118408203125,
"test_run_times": [
45.8299999999999982946974341757595539093017578125
]
}
}
},
"65ae56ceea2f265276e1b95b6a6e3b53119b5ff3": {
"identifier": "pts\/deepsparse-1.6.0",
"title": "Neural Magic DeepSparse",
"app_version": "1.6",
"arguments": "zoo:nlp\/document_classification\/obert-base\/pytorch\/huggingface\/imdb\/base-none --scenario sync",
"description": "Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream",
"scale": "ms\/batch",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 465.0267000000000052750692702829837799072265625,
"test_run_times": [
45.89999999999999857891452847979962825775146484375
]
},
"b": {
"value": 476.6725999999999885403667576611042022705078125,
"test_run_times": [
45.340000000000003410605131648480892181396484375
]
}
}
},
"75b6442e296ce0e967a26cd61945f6ce4b61b99d": {
"identifier": "pts\/deepsparse-1.6.0",
"title": "Neural Magic DeepSparse",
"app_version": "1.6",
"arguments": "zoo:nlp\/document_classification\/obert-base\/pytorch\/huggingface\/imdb\/base-none --scenario sync",
"description": "Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream",
"scale": "items\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 2.150300000000000100186525742174126207828521728515625,
"test_run_times": [
45.89999999999999857891452847979962825775146484375
]
},
"b": {
"value": 2.097799999999999887023705014144070446491241455078125,
"test_run_times": [
45.340000000000003410605131648480892181396484375
]
}
}
},
"bd60d19ed572aa62476e8604a0a59c0049fea081": {
"identifier": "pts\/svt-av1-2.11.1",
"title": "SVT-AV1",
"app_version": "1.8",
"arguments": "--preset 4 -n 160 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080",
"description": "Encoder Mode: Preset 4 - Input: Bosphorus 1080p",
"scale": "Frames Per Second",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 3.68400000000000016342482922482304275035858154296875,
"test_run_times": [
43.92999999999999971578290569595992565155029296875
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq"
}
}
},
"b": {
"value": 3.604999999999999982236431605997495353221893310546875,
"test_run_times": [
44.8900000000000005684341886080801486968994140625
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq"
}
}
}
}
},
"19d426cc943b00227b564f6813b33d710c2a4615": {
"identifier": "pts\/deepsparse-1.6.0",
"title": "Neural Magic DeepSparse",
"app_version": "1.6",
"arguments": "zoo:nlp\/text_classification\/distilbert-none\/pytorch\/huggingface\/mnli\/base-none --scenario async",
"description": "Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream",
"scale": "ms\/batch",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 103.169700000000005957190296612679958343505859375,
"test_run_times": [
42.969999999999998863131622783839702606201171875
]
},
"b": {
"value": 103.498099999999993769961292855441570281982421875,
"test_run_times": [
40.42999999999999971578290569595992565155029296875
]
}
}
},
"bbe2982cef2af31b6c22d5cc1487ed124ca4ed4b": {
"identifier": "pts\/deepsparse-1.6.0",
"title": "Neural Magic DeepSparse",
"app_version": "1.6",
"arguments": "zoo:nlp\/text_classification\/distilbert-none\/pytorch\/huggingface\/mnli\/base-none --scenario async",
"description": "Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream",
"scale": "items\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 19.377300000000001745092959026806056499481201171875,
"test_run_times": [
42.969999999999998863131622783839702606201171875
]
},
"b": {
"value": 19.302099999999999369038050645031034946441650390625,
"test_run_times": [
40.42999999999999971578290569595992565155029296875
]
}
}
},
"2d13c0ebad5488ddc8b194766412ebeba7b497e0": {
"identifier": "pts\/deepsparse-1.6.0",
"title": "Neural Magic DeepSparse",
"app_version": "1.6",
"arguments": "zoo:nlp\/text_classification\/distilbert-none\/pytorch\/huggingface\/mnli\/base-none --scenario sync",
"description": "Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream",
"scale": "ms\/batch",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 54.8667999999999977944753482006490230560302734375,
"test_run_times": [
40.1400000000000005684341886080801486968994140625
]
},
"b": {
"value": 55.43299999999999982946974341757595539093017578125,
"test_run_times": [
40.4200000000000017053025658242404460906982421875
]
}
}
},
"e9ceeb6664940d8b450401aeeb6cce42adb2afe5": {
"identifier": "pts\/deepsparse-1.6.0",
"title": "Neural Magic DeepSparse",
"app_version": "1.6",
"arguments": "zoo:nlp\/text_classification\/distilbert-none\/pytorch\/huggingface\/mnli\/base-none --scenario sync",
"description": "Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream",
"scale": "items\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 18.221000000000000085265128291212022304534912109375,
"test_run_times": [
40.1400000000000005684341886080801486968994140625
]
},
"b": {
"value": 18.035000000000000142108547152020037174224853515625,
"test_run_times": [
40.4200000000000017053025658242404460906982421875
]
}
}
},
"39697168b3b50cc5be0663ce16b826085d7964b6": {
"identifier": "pts\/deepsparse-1.6.0",
"title": "Neural Magic DeepSparse",
"app_version": "1.6",
"arguments": "zoo:cv\/classification\/resnet_v1-50\/pytorch\/sparseml\/imagenet\/base-none --scenario async",
"description": "Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream",
"scale": "ms\/batch",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 58.76950000000000073896444519050419330596923828125,
"test_run_times": [
39.32000000000000028421709430404007434844970703125
]
},
"b": {
"value": 60.40859999999999985220711096189916133880615234375,
"test_run_times": [
38.2999999999999971578290569595992565155029296875
]
}
}
},
"a9114050bf9d19d8068bec56f0849556b5ad7e41": {
"identifier": "pts\/deepsparse-1.6.0",
"title": "Neural Magic DeepSparse",
"app_version": "1.6",
"arguments": "zoo:cv\/classification\/resnet_v1-50\/pytorch\/sparseml\/imagenet\/base-none --scenario async",
"description": "Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream",
"scale": "items\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 34.00150000000000005684341886080801486968994140625,
"test_run_times": [
39.32000000000000028421709430404007434844970703125
]
},
"b": {
"value": 33.0835000000000007958078640513122081756591796875,
"test_run_times": [
38.2999999999999971578290569595992565155029296875
]
}
}
},
"fe8adf6ae3796d52419bec3b9df723076023e933": {
"identifier": "pts\/deepsparse-1.6.0",
"title": "Neural Magic DeepSparse",
"app_version": "1.6",
"arguments": "zoo:cv\/classification\/resnet_v1-50\/pytorch\/sparseml\/imagenet\/pruned95_uniform_quant-none --scenario async",
"description": "Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream",
"scale": "ms\/batch",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 8.547200000000000130739863379858434200286865234375,
"test_run_times": [
38.9200000000000017053025658242404460906982421875
]
},
"b": {
"value": 8.7546999999999997044142219237983226776123046875,
"test_run_times": [
38.38000000000000255795384873636066913604736328125
]
}
}
},
"1a8f84ecf131a8f2bb9cf496b58f44a8a27991a2": {
"identifier": "pts\/deepsparse-1.6.0",
"title": "Neural Magic DeepSparse",
"app_version": "1.6",
"arguments": "zoo:cv\/classification\/resnet_v1-50\/pytorch\/sparseml\/imagenet\/pruned95_uniform_quant-none --scenario async",
"description": "Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream",
"scale": "items\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 233.268000000000000682121026329696178436279296875,
"test_run_times": [
38.9200000000000017053025658242404460906982421875
]
},
"b": {
"value": 227.725899999999995770849636755883693695068359375,
"test_run_times": [
38.38000000000000255795384873636066913604736328125
]
}
}
},
"bf5141edd92c8c1e44875bf4322842f2d565a81a": {
"identifier": "pts\/deepsparse-1.6.0",
"title": "Neural Magic DeepSparse",
"app_version": "1.6",
"arguments": "zoo:cv\/detection\/yolov5-s\/pytorch\/ultralytics\/coco\/base-none --scenario async",
"description": "Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream",
"scale": "ms\/batch",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 142.616999999999990222931955941021442413330078125,
"test_run_times": [
38.71000000000000085265128291212022304534912109375
]
},
"b": {
"value": 147.3519000000000005456968210637569427490234375,
"test_run_times": [
38.5
]
}
}
},
"30a0ae27e6fce0ebd1a53ca1cf7c2475badd4741": {
"identifier": "pts\/deepsparse-1.6.0",
"title": "Neural Magic DeepSparse",
"app_version": "1.6",
"arguments": "zoo:cv\/detection\/yolov5-s\/pytorch\/ultralytics\/coco\/base-none --scenario async",
"description": "Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream",
"scale": "items\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 14.0193999999999991956656231195665895938873291015625,
"test_run_times": [
38.71000000000000085265128291212022304534912109375
]
},
"b": {
"value": 13.5693000000000001392663762089796364307403564453125,
"test_run_times": [
38.5
]
}
}
},
"d3a51d2475684402105c9de929d898b8c318d267": {
"identifier": "pts\/deepsparse-1.6.0",
"title": "Neural Magic DeepSparse",
"app_version": "1.6",
"arguments": "zoo:cv\/detection\/yolov5-s\/pytorch\/ultralytics\/coco\/pruned85-none --scenario async",
"description": "Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream",
"scale": "ms\/batch",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 141.226499999999987267074175179004669189453125,
"test_run_times": [
38.56000000000000227373675443232059478759765625
]
},
"b": {
"value": 143.48849999999998772182152606546878814697265625,
"test_run_times": [
38.590000000000003410605131648480892181396484375
]
}
}
},
"99fe49a34e19276c2c1e1cabb81232bca03c6b56": {
"identifier": "pts\/deepsparse-1.6.0",
"title": "Neural Magic DeepSparse",
"app_version": "1.6",
"arguments": "zoo:cv\/detection\/yolov5-s\/pytorch\/ultralytics\/coco\/pruned85-none --scenario async",
"description": "Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream",
"scale": "items\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 14.1580999999999992411403582082130014896392822265625,
"test_run_times": [
38.56000000000000227373675443232059478759765625
]
},
"b": {
"value": 13.9054000000000002046363078989088535308837890625,
"test_run_times": [
38.590000000000003410605131648480892181396484375
]
}
}
},
"eca4294ef9f65f9eb7e3619864362bb782b221df": {
"identifier": "pts\/deepsparse-1.6.0",
"title": "Neural Magic DeepSparse",
"app_version": "1.6",
"arguments": "zoo:cv\/classification\/resnet_v1-50\/pytorch\/sparseml\/imagenet\/base-none --scenario async",
"description": "Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream",
"scale": "ms\/batch",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 58.3036000000000029785951483063399791717529296875,
"test_run_times": [
38.4200000000000017053025658242404460906982421875
]
},
"b": {
"value": 59.9277000000000015234036254696547985076904296875,
"test_run_times": [
38.4200000000000017053025658242404460906982421875
]
}
}
},
"59e3c791f39382e6c9e84cf0bd6166c7d7b5ba9e": {
"identifier": "pts\/deepsparse-1.6.0",
"title": "Neural Magic DeepSparse",
"app_version": "1.6",
"arguments": "zoo:cv\/classification\/resnet_v1-50\/pytorch\/sparseml\/imagenet\/base-none --scenario async",
"description": "Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream",
"scale": "items\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 34.27920000000000300133251585066318511962890625,
"test_run_times": [
38.4200000000000017053025658242404460906982421875
]
},
"b": {
"value": 33.3419999999999987494447850622236728668212890625,
"test_run_times": [
38.4200000000000017053025658242404460906982421875
]
}
}
},
"462f293f366723d6995e274ef4bcdb1bff660c2d": {
"identifier": "pts\/deepsparse-1.6.0",
"title": "Neural Magic DeepSparse",
"app_version": "1.6",
"arguments": "zoo:cv\/detection\/yolov5-s\/pytorch\/ultralytics\/coco\/base-none --scenario sync",
"description": "Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream",
"scale": "ms\/batch",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 80.287000000000006139089236967265605926513671875,
"test_run_times": [
38.32000000000000028421709430404007434844970703125
]
},
"b": {
"value": 80.5096999999999951569407130591571331024169921875,
"test_run_times": [
38.39999999999999857891452847979962825775146484375
]
}
}
},
"59d928faf884edbadd7e25d023874b40a291e0c0": {
"identifier": "pts\/deepsparse-1.6.0",
"title": "Neural Magic DeepSparse",
"app_version": "1.6",
"arguments": "zoo:cv\/detection\/yolov5-s\/pytorch\/ultralytics\/coco\/base-none --scenario sync",
"description": "Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream",
"scale": "items\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 12.4520999999999997243094185250811278820037841796875,
"test_run_times": [
38.32000000000000028421709430404007434844970703125
]
},
"b": {
"value": 12.41760000000000019326762412674725055694580078125,
"test_run_times": [
38.39999999999999857891452847979962825775146484375
]
}
}
},
"386d3c9c7501657468be0ac976a04b369aced25d": {
"identifier": "pts\/deepsparse-1.6.0",
"title": "Neural Magic DeepSparse",
"app_version": "1.6",
"arguments": "zoo:cv\/detection\/yolov5-s\/pytorch\/ultralytics\/coco\/pruned85-none --scenario sync",
"description": "Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Synchronous Single-Stream",
"scale": "ms\/batch",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 77.8061000000000007048583938740193843841552734375,
"test_run_times": [
38.28999999999999914734871708787977695465087890625
]
},
"b": {
"value": 78.71559999999999490682967007160186767578125,
"test_run_times": [
38.39999999999999857891452847979962825775146484375
]
}
}
},
"184fece0867b0c453d1ea8cbb6c3eeeca294f0fd": {
"identifier": "pts\/deepsparse-1.6.0",
"title": "Neural Magic DeepSparse",
"app_version": "1.6",
"arguments": "zoo:cv\/detection\/yolov5-s\/pytorch\/ultralytics\/coco\/pruned85-none --scenario sync",
"description": "Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Synchronous Single-Stream",
"scale": "items\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 12.8499999999999996447286321199499070644378662109375,
"test_run_times": [
38.28999999999999914734871708787977695465087890625
]
},
"b": {
"value": 12.701499999999999346300683100707828998565673828125,
"test_run_times": [
38.39999999999999857891452847979962825775146484375
]
}
}
},
"753aeb8a274f556289615ead1b33b34309049c95": {
"identifier": "pts\/deepsparse-1.6.0",
"title": "Neural Magic DeepSparse",
"app_version": "1.6",
"arguments": "zoo:cv\/classification\/resnet_v1-50\/pytorch\/sparseml\/imagenet\/base-none --scenario sync",
"description": "Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream",
"scale": "ms\/batch",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 30.018899999999998584598870365880429744720458984375,
"test_run_times": [
38.219999999999998863131622783839702606201171875
]
},
"b": {
"value": 30.51429999999999864712663111276924610137939453125,
"test_run_times": [
38.27000000000000312638803734444081783294677734375
]
}
}
},
"6cffa9ab35b6aef98adc22c9570d27e8498b2cc7": {
"identifier": "pts\/deepsparse-1.6.0",
"title": "Neural Magic DeepSparse",
"app_version": "1.6",
"arguments": "zoo:cv\/classification\/resnet_v1-50\/pytorch\/sparseml\/imagenet\/base-none --scenario sync",
"description": "Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream",
"scale": "items\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 33.29339999999999832880348549224436283111572265625,
"test_run_times": [
38.219999999999998863131622783839702606201171875
]
},
"b": {
"value": 32.75370000000000203499439521692693233489990234375,
"test_run_times": [
38.27000000000000312638803734444081783294677734375
]
}
}
},
"5dea4cb36afc2938810567625491f7b43ad557cd": {
"identifier": "pts\/deepsparse-1.6.0",
"title": "Neural Magic DeepSparse",
"app_version": "1.6",
"arguments": "zoo:cv\/classification\/resnet_v1-50\/pytorch\/sparseml\/imagenet\/base-none --scenario sync",
"description": "Model: ResNet-50, Baseline - Scenario: Synchronous Single-Stream",
"scale": "ms\/batch",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 29.977599999999998914290699758566915988922119140625,
"test_run_times": [
38.2000000000000028421709430404007434844970703125
]
},
"b": {
"value": 30.7460999999999984311216394416987895965576171875,
"test_run_times": [
38.280000000000001136868377216160297393798828125
]
}
}
},
"1654e04c4da2ac25065bfa01530180c82acb03cd": {
"identifier": "pts\/deepsparse-1.6.0",
"title": "Neural Magic DeepSparse",
"app_version": "1.6",
"arguments": "zoo:cv\/classification\/resnet_v1-50\/pytorch\/sparseml\/imagenet\/base-none --scenario sync",
"description": "Model: ResNet-50, Baseline - Scenario: Synchronous Single-Stream",
"scale": "items\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 33.3393999999999977035258780233561992645263671875,
"test_run_times": [
38.2000000000000028421709430404007434844970703125
]
},
"b": {
"value": 32.50630000000000308091330225579440593719482421875,
"test_run_times": [
38.280000000000001136868377216160297393798828125
]
}
}
},
"43a4d7c1eff55bcea48516c4a6afc01afa37a084": {
"identifier": "pts\/deepsparse-1.6.0",
"title": "Neural Magic DeepSparse",
"app_version": "1.6",
"arguments": "zoo:cv\/classification\/resnet_v1-50\/pytorch\/sparseml\/imagenet\/pruned95_uniform_quant-none --scenario sync",
"description": "Model: ResNet-50, Sparse INT8 - Scenario: Synchronous Single-Stream",
"scale": "ms\/batch",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 4.7530000000000001136868377216160297393798828125,
"test_run_times": [
38.1099999999999994315658113919198513031005859375
]
},
"b": {
"value": 5.1288000000000000255795384873636066913604736328125,
"test_run_times": [
38.11999999999999744204615126363933086395263671875
]
}
}
},
"3b440bbd8e4ccd918716ffc64aa79f6a9429dae7": {
"identifier": "pts\/deepsparse-1.6.0",
"title": "Neural Magic DeepSparse",
"app_version": "1.6",
"arguments": "zoo:cv\/classification\/resnet_v1-50\/pytorch\/sparseml\/imagenet\/pruned95_uniform_quant-none --scenario sync",
"description": "Model: ResNet-50, Sparse INT8 - Scenario: Synchronous Single-Stream",
"scale": "items\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 209.813700000000011414158507250249385833740234375,
"test_run_times": [
38.1099999999999994315658113919198513031005859375
]
},
"b": {
"value": 194.44859999999999899955582804977893829345703125,
"test_run_times": [
38.11999999999999744204615126363933086395263671875
]
}
}
},
"bea8da05927dbb3542ab3e5bba7fe5dc48856f8e": {
"identifier": "pts\/webp2-1.2.1",
"title": "WebP2 Image Encode",
"app_version": "20220823",
"arguments": "-q 100 -effort 5",
"description": "Encode Settings: Quality 100, Compression Effort 5",
"scale": "MP\/s",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 0.9499999999999999555910790149937383830547332763671875,
"raw_values": [
0.952645576152109985201832387247122824192047119140625
],
"test_run_times": [
25.379999999999999005240169935859739780426025390625
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-msse4.2 -fno-rtti -O3 -ldl"
}
}
},
"b": {
"value": 0.9499999999999999555910790149937383830547332763671875,
"raw_values": [
0.95181439619273999763748861369094811379909515380859375
],
"test_run_times": [
25.4200000000000017053025658242404460906982421875
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-msse4.2 -fno-rtti -O3 -ldl"
}
}
}
}
},
"574a081b9ae673c9ae9fb41c5d652a5396c8e699": {
"identifier": "pts\/java-scimark2-1.2.0",
"title": "Java SciMark",
"app_version": "2.2",
"arguments": "TEST_COMPOSITE",
"description": "Computational Test: Composite",
"scale": "Mflops",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 2605.9499999999998181010596454143524169921875,
"test_run_times": [
25.1700000000000017053025658242404460906982421875
]
},
"b": {
"value": 2611.98000000000001818989403545856475830078125,
"test_run_times": [
25.089999999999999857891452847979962825775146484375
]
}
}
},
"721958a2f8fa45aed4031a0de1d146143c6dea10": {
"identifier": "pts\/svt-av1-2.11.1",
"title": "SVT-AV1",
"app_version": "1.8",
"arguments": "--preset 8 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080",
"description": "Encoder Mode: Preset 8 - Input: Bosphorus 1080p",
"scale": "Frames Per Second",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 26.035000000000000142108547152020037174224853515625,
"test_run_times": [
23.489999999999998436805981327779591083526611328125
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq"
}
}
},
"b": {
"value": 26.9669999999999987494447850622236728668212890625,
"test_run_times": [
22.690000000000001278976924368180334568023681640625
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq"
}
}
}
}
},
"01b8a8423c77dc9bfd8f5cfd4ccbe2dde54dc852": {
"identifier": "pts\/svt-av1-2.11.1",
"title": "SVT-AV1",
"app_version": "1.8",
"arguments": "--preset 12 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160",
"description": "Encoder Mode: Preset 12 - Input: Bosphorus 4K",
"scale": "Frames Per Second",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 31.312999999999998834709913353435695171356201171875,
"test_run_times": [
20.910000000000000142108547152020037174224853515625
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq"
}
}
},
"b": {
"value": 28.2259999999999990905052982270717620849609375,
"test_run_times": [
23
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq"
}
}
}
}
},
"df4f25f1140a1944a4d4224142d9c532fee4c333": {
"identifier": "pts\/svt-av1-2.11.1",
"title": "SVT-AV1",
"app_version": "1.8",
"arguments": "--preset 13 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160",
"description": "Encoder Mode: Preset 13 - Input: Bosphorus 4K",
"scale": "Frames Per Second",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 33.86200000000000187583282240666449069976806640625,
"test_run_times": [
19.440000000000001278976924368180334568023681640625
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq"
}
}
},
"b": {
"value": 31.873000000000001108446667785756289958953857421875,
"test_run_times": [
20.53999999999999914734871708787977695465087890625
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq"
}
}
}
}
},
"52e9b3b537761a6a934377d6c32a67848b8fe5a0": {
"identifier": "pts\/webp2-1.2.1",
"title": "WebP2 Image Encode",
"app_version": "20220823",
"description": "Encode Settings: Default",
"scale": "MP\/s",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 2.600000000000000088817841970012523233890533447265625,
"raw_values": [
2.6033192320207998449177466682158410549163818359375
],
"test_run_times": [
9.42999999999999971578290569595992565155029296875
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-msse4.2 -fno-rtti -O3 -ldl"
}
}
},
"b": {
"value": 2.45000000000000017763568394002504646778106689453125,
"raw_values": [
2.44823013363259978092401070171035826206207275390625
],
"test_run_times": [
10
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-msse4.2 -fno-rtti -O3 -ldl"
}
}
}
}
},
"e09e6c5b9d8c57c920eea2cc0fc967c3986b4af8": {
"identifier": "pts\/svt-av1-2.11.1",
"title": "SVT-AV1",
"app_version": "1.8",
"arguments": "--preset 12 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080",
"description": "Encoder Mode: Preset 12 - Input: Bosphorus 1080p",
"scale": "Frames Per Second",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 192.188999999999992951416061259806156158447265625,
"test_run_times": [
3.600000000000000088817841970012523233890533447265625
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq"
}
}
},
"b": {
"value": 192.664999999999992041921359486877918243408203125,
"test_run_times": [
3.589999999999999857891452847979962825775146484375
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq"
}
}
}
}
},
"db8fa582a4e071550fc77ccf19f389ba388b3e8d": {
"identifier": "pts\/svt-av1-2.11.1",
"title": "SVT-AV1",
"app_version": "1.8",
"arguments": "--preset 13 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080",
"description": "Encoder Mode: Preset 13 - Input: Bosphorus 1080p",
"scale": "Frames Per Second",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 254.955000000000012505552149377763271331787109375,
"test_run_times": [
2.819999999999999840127884453977458178997039794921875
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq"
}
}
},
"b": {
"value": 256.08400000000000318323145620524883270263671875,
"test_run_times": [
2.810000000000000053290705182007513940334320068359375
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq"
}
}
}
}
},
"d4ab747c6e0dc7a4a90f81193f4d53321656f67a": {
"identifier": "pts\/java-scimark2-1.2.0",
"title": "Java SciMark",
"app_version": "2.2",
"arguments": "TEST_SOR",
"description": "Computational Test: Jacobi Successive Over-Relaxation",
"scale": "Mflops",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 1403.140000000000100044417195022106170654296875
},
"b": {
"value": 1401.220000000000027284841053187847137451171875
}
}
},
"593b182b3d63dfc072f5a5b0164386ad039e00cc": {
"identifier": "pts\/java-scimark2-1.2.0",
"title": "Java SciMark",
"app_version": "2.2",
"arguments": "TEST_DENSE",
"description": "Computational Test: Dense LU Matrix Factorization",
"scale": "Mflops",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 8173.6899999999995998223312199115753173828125
},
"b": {
"value": 8211.45000000000072759576141834259033203125
}
}
},
"bf81340647b6254688b34103040b1f9985b00386": {
"identifier": "pts\/java-scimark2-1.2.0",
"title": "Java SciMark",
"app_version": "2.2",
"arguments": "TEST_SPARSE",
"description": "Computational Test: Sparse Matrix Multiply",
"scale": "Mflops",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 1999.01999999999998181010596454143524169921875
},
"b": {
"value": 1994.160000000000081854523159563541412353515625
}
}
},
"2b08a5e27da8049c6deef7d09507ae35dd065613": {
"identifier": "pts\/java-scimark2-1.2.0",
"title": "Java SciMark",
"app_version": "2.2",
"arguments": "TEST_FFT",
"description": "Computational Test: Fast Fourier Transform",
"scale": "Mflops",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 518.5700000000000500222085975110530853271484375
},
"b": {
"value": 516.529999999999972715158946812152862548828125
}
}
},
"bc7089c548f2f22bc088fe7f65a58ed65ece8cda": {
"identifier": "pts\/java-scimark2-1.2.0",
"title": "Java SciMark",
"app_version": "2.2",
"arguments": "TEST_MONTE",
"description": "Computational Test: Monte Carlo",
"scale": "Mflops",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 935.3200000000000500222085975110530853271484375
},
"b": {
"value": 936.5399999999999636202119290828704833984375
}
}
}
}
}