AMD Ryzen Threadripper 7980X 64-Cores testing with a ASUS Pro WS TRX50-SAGE WIFI (0217 BIOS) and AMD Radeon RX 7900 XT 20GB on Ubuntu 23.10 via the Phoronix Test Suite.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 2401079-PTS-BIGBENCH30
{
"title": "big bench",
"last_modified": "2024-01-07 15:38:23",
"description": "AMD Ryzen Threadripper 7980X 64-Cores testing with a ASUS Pro WS TRX50-SAGE WIFI (0217 BIOS) and AMD Radeon RX 7900 XT 20GB on Ubuntu 23.10 via the Phoronix Test Suite.",
"systems": {
"a": {
"identifier": "a",
"hardware": {
"Processor": "AMD Ryzen Threadripper 7980X 64-Cores @ 8.21GHz (64 Cores \/ 128 Threads)",
"Motherboard": "ASUS Pro WS TRX50-SAGE WIFI (0217 BIOS)",
"Chipset": "AMD Device 14a4",
"Memory": "128GB",
"Disk": "2000GB Corsair MP700 PRO + 1000GB Western Digital WDS100T1X0E-00AFY0",
"Graphics": "AMD Radeon RX 7900 XT 20GB (2025\/1249MHz)",
"Audio": "Realtek ALC1220",
"Monitor": "DELL U2723QE",
"Network": "Aquantia Device 04c0 + Intel I226-LM + MEDIATEK MT7922 802.11ax PCI"
},
"software": {
"OS": "Ubuntu 23.10",
"Kernel": "6.7.0-060700rc2daily20231126-generic (x86_64)",
"Desktop": "GNOME Shell 45.0",
"Display Server": "X Server 1.21.1.7 + Wayland",
"OpenGL": "4.6 Mesa 23.2.1-1ubuntu3 (LLVM 15.0.7 DRM 3.56)",
"Compiler": "GCC 13.2.0",
"File-System": "ext4",
"Screen Resolution": "3840x2160"
},
"user": "pts",
"timestamp": "2024-01-07 01:35:51",
"client_version": "10.8.4",
"data": {
"compiler-configuration": "--build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=\/build\/gcc-13-XYspKM\/gcc-13-13.2.0\/debian\/tmp-nvptx\/usr,amdgcn-amdhsa=\/build\/gcc-13-XYspKM\/gcc-13-13.2.0\/debian\/tmp-gcn\/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v",
"cpu-scaling-governor": "amd-pstate-epp powersave (EPP: balance_performance)",
"cpu-microcode": "0xa108105",
"kernel-extra-details": "Transparent Huge Pages: madvise",
"python": "Python 3.11.6",
"security": "gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of Safe RET + 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 \/ Automatic IBRS IBPB: conditional STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected"
}
},
"b": {
"identifier": "b",
"hardware": {
"Processor": "AMD Ryzen Threadripper 7980X 64-Cores @ 8.21GHz (64 Cores \/ 128 Threads)",
"Motherboard": "ASUS Pro WS TRX50-SAGE WIFI (0217 BIOS)",
"Chipset": "AMD Device 14a4",
"Memory": "128GB",
"Disk": "2000GB Corsair MP700 PRO + 1000GB Western Digital WDS100T1X0E-00AFY0",
"Graphics": "AMD Radeon RX 7900 XT 20GB (2025\/1249MHz)",
"Audio": "Realtek ALC1220",
"Monitor": "DELL U2723QE",
"Network": "Aquantia Device 04c0 + Intel I226-LM + MEDIATEK MT7922 802.11ax PCI"
},
"software": {
"OS": "Ubuntu 23.10",
"Kernel": "6.7.0-060700rc2daily20231126-generic (x86_64)",
"Desktop": "GNOME Shell 45.0",
"Display Server": "X Server 1.21.1.7 + Wayland",
"OpenGL": "4.6 Mesa 23.2.1-1ubuntu3 (LLVM 15.0.7 DRM 3.56)",
"Compiler": "GCC 13.2.0",
"File-System": "ext4",
"Screen Resolution": "3840x2160"
},
"user": "pts",
"timestamp": "2024-01-07 10:50:24",
"client_version": "10.8.4",
"data": {
"compiler-configuration": "--build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=\/build\/gcc-13-XYspKM\/gcc-13-13.2.0\/debian\/tmp-nvptx\/usr,amdgcn-amdhsa=\/build\/gcc-13-XYspKM\/gcc-13-13.2.0\/debian\/tmp-gcn\/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v",
"cpu-scaling-governor": "amd-pstate-epp powersave (EPP: balance_performance)",
"cpu-microcode": "0xa108105",
"kernel-extra-details": "Transparent Huge Pages: madvise",
"python": "Python 3.11.6",
"security": "gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of Safe RET + 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 \/ Automatic IBRS IBPB: conditional STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected"
}
},
"c": {
"identifier": "c",
"hardware": {
"Processor": "AMD Ryzen Threadripper 7980X 64-Cores @ 8.21GHz (64 Cores \/ 128 Threads)",
"Motherboard": "ASUS Pro WS TRX50-SAGE WIFI (0217 BIOS)",
"Chipset": "AMD Device 14a4",
"Memory": "128GB",
"Disk": "2000GB Corsair MP700 PRO + 1000GB Western Digital WDS100T1X0E-00AFY0",
"Graphics": "AMD Radeon RX 7900 XT 20GB (2025\/1249MHz)",
"Audio": "Realtek ALC1220",
"Monitor": "DELL U2723QE",
"Network": "Aquantia Device 04c0 + Intel I226-LM + MEDIATEK MT7922 802.11ax PCI"
},
"software": {
"OS": "Ubuntu 23.10",
"Kernel": "6.7.0-060700rc2daily20231126-generic (x86_64)",
"Desktop": "GNOME Shell 45.0",
"Display Server": "X Server 1.21.1.7 + Wayland",
"OpenGL": "4.6 Mesa 23.2.1-1ubuntu3 (LLVM 15.0.7 DRM 3.56)",
"Compiler": "GCC 13.2.0",
"File-System": "ext4",
"Screen Resolution": "3840x2160"
},
"user": "pts",
"timestamp": "2024-01-07 13:45:48",
"client_version": "10.8.4",
"data": {
"compiler-configuration": "--build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=\/build\/gcc-13-XYspKM\/gcc-13-13.2.0\/debian\/tmp-nvptx\/usr,amdgcn-amdhsa=\/build\/gcc-13-XYspKM\/gcc-13-13.2.0\/debian\/tmp-gcn\/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v",
"cpu-scaling-governor": "amd-pstate-epp powersave (EPP: balance_performance)",
"cpu-microcode": "0xa108105",
"kernel-extra-details": "Transparent Huge Pages: madvise",
"python": "Python 3.11.6",
"security": "gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of Safe RET + 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 \/ Automatic IBRS IBPB: conditional STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected"
}
}
},
"results": {
"f1ec2dd132fc9df9e89d745909a69d9ea1c4ad42": {
"identifier": "local\/quicksilver",
"title": "Quicksilver",
"app_version": "20230818",
"arguments": "..\/Examples\/CTS2_Benchmark\/CTS2.inp",
"description": "Input: CTS2",
"scale": "Figure Of Merit",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 20023333,
"raw_values": [
20100000,
19960000,
20010000
],
"test_run_times": [
254.039999999999992041921359486877918243408203125,
255.900000000000005684341886080801486968994140625,
255.280000000000001136868377216160297393798828125
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-fopenmp -O3 -march=native"
}
}
},
"b": {
"value": 19973333,
"raw_values": [
20070000,
19940000,
19910000
],
"test_run_times": [
254.6100000000000136424205265939235687255859375,
256.1000000000000227373675443232059478759765625,
256.5
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-fopenmp -O3 -march=native"
}
}
},
"c": {
"value": 20090000,
"test_run_times": [
254.30000000000001136868377216160297393798828125
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-fopenmp -O3 -march=native"
}
}
}
}
},
"fbf1c75fcc6b76c61b6b73b88f20a6caecd4873d": {
"identifier": "local\/quicksilver",
"title": "Quicksilver",
"app_version": "20230818",
"arguments": "..\/Examples\/CORAL2_Benchmark\/Problem1\/Coral2_P1.inp",
"description": "Input: CORAL2 P1",
"scale": "Figure Of Merit",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 26026667,
"raw_values": [
26210000,
25960000,
25910000
],
"test_run_times": [
44.25,
44.659999999999996589394868351519107818603515625,
44.71000000000000085265128291212022304534912109375
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-fopenmp -O3 -march=native"
}
}
},
"b": {
"value": 26010000,
"raw_values": [
25890000,
25980000,
26160000
],
"test_run_times": [
44.75,
44.60000000000000142108547152020037174224853515625,
44.32000000000000028421709430404007434844970703125
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-fopenmp -O3 -march=native"
}
}
},
"c": {
"value": 25920000,
"test_run_times": [
44.659999999999996589394868351519107818603515625
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-fopenmp -O3 -march=native"
}
}
}
}
},
"da5218f017c908c47d4ee6679c6f2bc56b8639f2": {
"identifier": "local\/quicksilver",
"title": "Quicksilver",
"app_version": "20230818",
"arguments": "..\/Examples\/CORAL2_Benchmark\/Problem2\/Coral2_P2.inp",
"description": "Input: CORAL2 P2",
"scale": "Figure Of Merit",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 19776667,
"raw_values": [
19820000,
19740000,
19770000
],
"test_run_times": [
236.93000000000000682121026329696178436279296875,
237.919999999999987494447850622236728668212890625,
237.56000000000000227373675443232059478759765625
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-fopenmp -O3 -march=native"
}
}
},
"b": {
"value": 19733333,
"raw_values": [
19830000,
19630000,
19740000
],
"test_run_times": [
236.909999999999996589394868351519107818603515625,
239.18999999999999772626324556767940521240234375,
237.919999999999987494447850622236728668212890625
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-fopenmp -O3 -march=native"
}
}
},
"c": {
"value": 19820000,
"test_run_times": [
237.099999999999994315658113919198513031005859375
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-fopenmp -O3 -march=native"
}
}
}
}
},
"4c7bf00e1ffdac6120c4e7e06f896a2dcf99c6a6": {
"identifier": "pts\/pytorch-1.0.1",
"title": "PyTorch",
"app_version": "2.1",
"arguments": "cpu 1 resnet50",
"description": "Device: CPU - Batch Size: 1 - Model: ResNet-50",
"scale": "batches\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 59.03999999999999914734871708787977695465087890625,
"raw_values": [
58.12593971226500144666715641506016254425048828125,
59.0632525501579976889843237586319446563720703125,
59.935894587581998393943649716675281524658203125
],
"min_result": [
"49.45"
],
"max_result": [
"62.07"
],
"test_run_times": [
21.8900000000000005684341886080801486968994140625,
21.339999999999999857891452847979962825775146484375,
21.089999999999999857891452847979962825775146484375
]
},
"b": {
"value": 59.219999999999998863131622783839702606201171875,
"raw_values": [
58.54373297669099684981119935400784015655517578125,
59.92627764409900237296824343502521514892578125,
54.27896508408600340089833480305969715118408203125,
59.94885134898699874383964925073087215423583984375,
59.33877050983500112124602310359477996826171875,
59.32908843695199863077505142427980899810791015625,
59.36534999262899958694106317125260829925537109375,
59.82112861296000261290828348137438297271728515625,
59.84165661358999699359628721140325069427490234375,
59.78225765666299906797576113604009151458740234375,
59.8047073196560035057700588367879390716552734375,
59.54689529528800306934499531053006649017333984375,
60.13995657827400265205142204649746417999267578125,
59.41444791024100169352095690555870532989501953125
],
"min_result": [
"49.85"
],
"max_result": [
"62.35"
],
"test_run_times": [
21.3599999999999994315658113919198513031005859375,
20.96000000000000085265128291212022304534912109375,
22.800000000000000710542735760100185871124267578125,
20.8599999999999994315658113919198513031005859375,
21.0799999999999982946974341757595539093017578125,
21.050000000000000710542735760100185871124267578125,
21.230000000000000426325641456060111522674560546875,
20.92999999999999971578290569595992565155029296875,
21.050000000000000710542735760100185871124267578125,
20.910000000000000142108547152020037174224853515625,
20.940000000000001278976924368180334568023681640625,
21.10000000000000142108547152020037174224853515625,
20.870000000000000994759830064140260219573974609375,
21.030000000000001136868377216160297393798828125
]
},
"c": {
"value": 59.68999999999999772626324556767940521240234375,
"raw_values": [
59.69134511365899697921122424304485321044921875
],
"min_result": [
"53.84"
],
"max_result": [
"61.85"
],
"test_run_times": [
21.1099999999999994315658113919198513031005859375
]
}
}
},
"0f8d8cb3b9eaa2299a391dfeb4ecf8e83c675ab3": {
"identifier": "pts\/pytorch-1.0.1",
"title": "PyTorch",
"app_version": "2.1",
"arguments": "cpu 1 resnet152",
"description": "Device: CPU - Batch Size: 1 - Model: ResNet-152",
"scale": "batches\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 21.940000000000001278976924368180334568023681640625,
"raw_values": [
22.0999804029680007033675792627036571502685546875,
21.853177560923001010451116599142551422119140625,
21.867926863305999773956500575877726078033447265625
],
"min_result": [
"20.91"
],
"max_result": [
"22.35"
],
"test_run_times": [
52.81000000000000227373675443232059478759765625,
53.35000000000000142108547152020037174224853515625,
53.32000000000000028421709430404007434844970703125
]
},
"b": {
"value": 21.910000000000000142108547152020037174224853515625,
"raw_values": [
21.923565640435999313240245101042091846466064453125,
22.0357942447379997474854462780058383941650390625,
21.758492392392998482364419032819569110870361328125
],
"min_result": [
"20.97"
],
"max_result": [
"22.39"
],
"test_run_times": [
53.1700000000000017053025658242404460906982421875,
52.99000000000000198951966012828052043914794921875,
53.9500000000000028421709430404007434844970703125
]
},
"c": {
"value": 21.800000000000000710542735760100185871124267578125,
"raw_values": [
21.802294076026999647410775651223957538604736328125
],
"min_result": [
"21.22"
],
"max_result": [
"22.14"
],
"test_run_times": [
53.469999999999998863131622783839702606201171875
]
}
}
},
"594d16c50ef13421d29a77ac009ce481ebc2a82c": {
"identifier": "pts\/pytorch-1.0.1",
"title": "PyTorch",
"app_version": "2.1",
"arguments": "cpu 16 resnet50",
"description": "Device: CPU - Batch Size: 16 - Model: ResNet-50",
"scale": "batches\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 47.469999999999998863131622783839702606201171875,
"raw_values": [
47.87521815467800223586891661398112773895263671875,
47.19290198718599782523597241379320621490478515625,
47.3523969703930021069027134217321872711181640625
],
"min_result": [
"43.56"
],
"max_result": [
"48.81"
],
"test_run_times": [
44.1700000000000017053025658242404460906982421875,
45.14999999999999857891452847979962825775146484375,
45.4500000000000028421709430404007434844970703125
]
},
"b": {
"value": 47.409999999999996589394868351519107818603515625,
"raw_values": [
47.26025429849600101306350552476942539215087890625,
47.24571480930399758335624937899410724639892578125,
47.7162706138550021250921417959034442901611328125
],
"min_result": [
"43.15"
],
"max_result": [
"48.78"
],
"test_run_times": [
45.03999999999999914734871708787977695465087890625,
44.6099999999999994315658113919198513031005859375,
44.280000000000001136868377216160297393798828125
]
},
"c": {
"value": 47.60000000000000142108547152020037174224853515625,
"raw_values": [
47.5982768199090031657760846428573131561279296875
],
"min_result": [
"43.77"
],
"max_result": [
"48.91"
],
"test_run_times": [
44.31000000000000227373675443232059478759765625
]
}
}
},
"0abf31405b047991c985067ba99ea7917c482689": {
"identifier": "pts\/pytorch-1.0.1",
"title": "PyTorch",
"app_version": "2.1",
"arguments": "cpu 32 resnet50",
"description": "Device: CPU - Batch Size: 32 - Model: ResNet-50",
"scale": "batches\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 47.469999999999998863131622783839702606201171875,
"raw_values": [
47.4382384109670027783067780546844005584716796875,
47.6918439966890019832135294564068317413330078125,
47.27477897593399802644853480160236358642578125
],
"min_result": [
"43.75"
],
"max_result": [
"48.83"
],
"test_run_times": [
44.36999999999999744204615126363933086395263671875,
44.22999999999999687361196265555918216705322265625,
44.53999999999999914734871708787977695465087890625
]
},
"b": {
"value": 47.24000000000000198951966012828052043914794921875,
"raw_values": [
42.23519509382099812455635401420295238494873046875,
47.994747821174001956023857928812503814697265625,
47.3405351304920003485676716081798076629638671875,
48.25108041054900098743019043467938899993896484375,
46.8826409493729983068988076411187648773193359375,
47.27193222397699656767144915647804737091064453125,
47.6962713591500033771808375604450702667236328125,
47.63732498983200258635406498797237873077392578125,
47.88666366602900126281383563764393329620361328125,
48.359619825511998669753666035830974578857421875,
47.312421728027999279220239259302616119384765625,
47.7576795629129975395699148066341876983642578125,
47.4630333942150031134588061831891536712646484375
],
"min_result": [
"40.13"
],
"max_result": [
"49.58"
],
"test_run_times": [
49.32000000000000028421709430404007434844970703125,
44.03999999999999914734871708787977695465087890625,
44.340000000000003410605131648480892181396484375,
43.93999999999999772626324556767940521240234375,
44.60000000000000142108547152020037174224853515625,
44.75999999999999801048033987171947956085205078125,
44.280000000000001136868377216160297393798828125,
44.49000000000000198951966012828052043914794921875,
44.3299999999999982946974341757595539093017578125,
43.61999999999999744204615126363933086395263671875,
44.3599999999999994315658113919198513031005859375,
44.18999999999999772626324556767940521240234375,
44.21000000000000085265128291212022304534912109375
]
},
"c": {
"value": 48.11999999999999744204615126363933086395263671875,
"raw_values": [
48.12293703038699987928339396603405475616455078125
],
"min_result": [
"44.48"
],
"max_result": [
"49.1"
],
"test_run_times": [
44.0799999999999982946974341757595539093017578125
]
}
}
},
"b822f410294900d7f2a8b2854249b31e725cc8e9": {
"identifier": "pts\/pytorch-1.0.1",
"title": "PyTorch",
"app_version": "2.1",
"arguments": "cpu 64 resnet50",
"description": "Device: CPU - Batch Size: 64 - Model: ResNet-50",
"scale": "batches\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 47.57000000000000028421709430404007434844970703125,
"raw_values": [
47.9241274588190009353638743050396442413330078125,
47.4243486053670011415306362323462963104248046875,
47.352757959526996955901267938315868377685546875
],
"min_result": [
"43.64"
],
"max_result": [
"49.11"
],
"test_run_times": [
44.49000000000000198951966012828052043914794921875,
44.32000000000000028421709430404007434844970703125,
44.780000000000001136868377216160297393798828125
]
},
"b": {
"value": 47.219999999999998863131622783839702606201171875,
"raw_values": [
46.788846557574998996642534621059894561767578125,
47.83963645745699722056087921373546123504638671875,
47.0174266836420002846352872438728809356689453125
],
"min_result": [
"43.76"
],
"max_result": [
"48.92"
],
"test_run_times": [
44.9200000000000017053025658242404460906982421875,
43.969999999999998863131622783839702606201171875,
45.35000000000000142108547152020037174224853515625
]
},
"c": {
"value": 47.81000000000000227373675443232059478759765625,
"raw_values": [
47.80730587753799909478402696549892425537109375
],
"min_result": [
"43.73"
],
"max_result": [
"48.84"
],
"test_run_times": [
43.969999999999998863131622783839702606201171875
]
}
}
},
"4f2db05f6bebd9b371472ed1afa49f37fc27fa2a": {
"identifier": "pts\/pytorch-1.0.1",
"title": "PyTorch",
"app_version": "2.1",
"arguments": "cpu 16 resnet152",
"description": "Device: CPU - Batch Size: 16 - Model: ResNet-152",
"scale": "batches\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 18.67999999999999971578290569595992565155029296875,
"raw_values": [
18.5737967684519986732993857003748416900634765625,
18.738240036749999717358150519430637359619140625,
18.722321370182999800135803525336086750030517578125
],
"min_result": [
"18.15"
],
"max_result": [
"18.95"
],
"test_run_times": [
113.2099999999999937472239253111183643341064453125,
112.43000000000000682121026329696178436279296875,
113.2900000000000062527760746888816356658935546875
]
},
"b": {
"value": 18.64999999999999857891452847979962825775146484375,
"raw_values": [
19.003049749426001113761230953969061374664306640625,
18.485589594290001258514166693203151226043701171875,
18.473380860218998833488512900657951831817626953125
],
"min_result": [
"17.9"
],
"max_result": [
"19.22"
],
"test_run_times": [
111.659999999999996589394868351519107818603515625,
113.7699999999999960209606797434389591217041015625,
113.7099999999999937472239253111183643341064453125
]
},
"c": {
"value": 18.71000000000000085265128291212022304534912109375,
"raw_values": [
18.71231973693900130228939815424382686614990234375
],
"min_result": [
"18.25"
],
"max_result": [
"18.96"
],
"test_run_times": [
112.1700000000000017053025658242404460906982421875
]
}
}
},
"978835f6419ea069b931b1248ebb55334626a270": {
"identifier": "pts\/pytorch-1.0.1",
"title": "PyTorch",
"app_version": "2.1",
"arguments": "cpu 256 resnet50",
"description": "Device: CPU - Batch Size: 256 - Model: ResNet-50",
"scale": "batches\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 47.42999999999999971578290569595992565155029296875,
"raw_values": [
47.96968758289799694694011122919619083404541015625,
45.2740552689080004711286164820194244384765625,
47.85977062236700163566638366319239139556884765625,
47.70413054699999833019319339655339717864990234375,
48.271736894111000992779736407101154327392578125,
47.5267502303070017433128668926656246185302734375
],
"min_result": [
"39.54"
],
"max_result": [
"49.38"
],
"test_run_times": [
44.00999999999999801048033987171947956085205078125,
47.88000000000000255795384873636066913604736328125,
44.21000000000000085265128291212022304534912109375,
44.43999999999999772626324556767940521240234375,
43.7999999999999971578290569595992565155029296875,
44.32000000000000028421709430404007434844970703125
]
},
"b": {
"value": 47.24000000000000198951966012828052043914794921875,
"raw_values": [
47.95958285609300020269074593670666217803955078125,
47.832083733291000271492521278560161590576171875,
45.94231209686599726182976155541837215423583984375
],
"min_result": [
"39.04"
],
"max_result": [
"49.14"
],
"test_run_times": [
43.96000000000000085265128291212022304534912109375,
44.22999999999999687361196265555918216705322265625,
47.5499999999999971578290569595992565155029296875
]
},
"c": {
"value": 43.07000000000000028421709430404007434844970703125,
"raw_values": [
43.07090193240600228818948380649089813232421875
],
"min_result": [
"39.73"
],
"max_result": [
"45.38"
],
"test_run_times": [
48.840000000000003410605131648480892181396484375
]
}
}
},
"0907a1560e5c52798d2914d696599aa4df306187": {
"identifier": "pts\/pytorch-1.0.1",
"title": "PyTorch",
"app_version": "2.1",
"arguments": "cpu 32 resnet152",
"description": "Device: CPU - Batch Size: 32 - Model: ResNet-152",
"scale": "batches\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 18.760000000000001563194018672220408916473388671875,
"raw_values": [
18.557883293109998845693553448654711246490478515625,
19.02845054141300096262057195417582988739013671875,
18.67990515829099962274995050393044948577880859375
],
"min_result": [
"18.21"
],
"max_result": [
"19.24"
],
"test_run_times": [
113.1200000000000045474735088646411895751953125,
111.68999999999999772626324556767940521240234375,
112.6400000000000005684341886080801486968994140625
]
},
"b": {
"value": 18.6700000000000017053025658242404460906982421875,
"raw_values": [
18.67371289341900109093330684117972850799560546875
],
"min_result": [
"17.72"
],
"max_result": [
"18.87"
],
"test_run_times": [
112.7699999999999960209606797434389591217041015625
]
},
"c": {
"value": 19.019999999999999573674358543939888477325439453125,
"raw_values": [
19.0227252515879996508374460972845554351806640625
],
"min_result": [
"18.53"
],
"max_result": [
"19.21"
],
"test_run_times": [
111.409999999999996589394868351519107818603515625
]
}
}
},
"0edee3d498a90f64b0d6ee6cfc4c8eee8a3c3a6c": {
"identifier": "pts\/pytorch-1.0.1",
"title": "PyTorch",
"app_version": "2.1",
"arguments": "cpu 512 resnet50",
"description": "Device: CPU - Batch Size: 512 - Model: ResNet-50",
"scale": "batches\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 47.53999999999999914734871708787977695465087890625,
"raw_values": [
47.88703482372400088706854148767888545989990234375,
47.70229674819000109664557385258376598358154296875,
47.0433234754519986609011539258062839508056640625
],
"min_result": [
"43.78"
],
"max_result": [
"49.15"
],
"test_run_times": [
43.9500000000000028421709430404007434844970703125,
44.38000000000000255795384873636066913604736328125,
44.77000000000000312638803734444081783294677734375
]
},
"b": {
"value": 45.969999999999998863131622783839702606201171875,
"raw_values": [
45.96907721261199952778042643330991268157958984375
],
"min_result": [
"43.46"
],
"max_result": [
"48.21"
],
"test_run_times": [
45.03999999999999914734871708787977695465087890625
]
},
"c": {
"value": 46.60000000000000142108547152020037174224853515625,
"raw_values": [
46.60141265227999696207916713319718837738037109375
],
"min_result": [
"43.8"
],
"max_result": [
"47.68"
],
"test_run_times": [
45.1099999999999994315658113919198513031005859375
]
}
}
},
"460f3f52d99a6b1222fa6f3c476e002ef5f32c34": {
"identifier": "pts\/pytorch-1.0.1",
"title": "PyTorch",
"app_version": "2.1",
"arguments": "cpu 64 resnet152",
"description": "Device: CPU - Batch Size: 64 - Model: ResNet-152",
"scale": "batches\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 18.690000000000001278976924368180334568023681640625,
"raw_values": [
18.6848944689320006773414206691086292266845703125,
18.744706318401998856870704912580549716949462890625,
18.64332899293599865586656960658729076385498046875
],
"min_result": [
"18.14"
],
"max_result": [
"18.93"
],
"test_run_times": [
113.159999999999996589394868351519107818603515625,
112.4899999999999948840923025272786617279052734375,
113.0400000000000062527760746888816356658935546875
]
},
"b": {
"value": 18.620000000000000994759830064140260219573974609375,
"raw_values": [
18.6160402046919983831685385666787624359130859375
],
"min_result": [
"18.09"
],
"max_result": [
"18.8"
],
"test_run_times": [
113.1200000000000045474735088646411895751953125
]
},
"c": {
"value": 19.379999999999999005240169935859739780426025390625,
"raw_values": [
19.379897854294000580921419896185398101806640625
],
"min_result": [
"18.61"
],
"max_result": [
"19.57"
],
"test_run_times": [
109.56000000000000227373675443232059478759765625
]
}
}
},
"13d636d41dec40a015e80ae0ca58358ace25a739": {
"identifier": "pts\/pytorch-1.0.1",
"title": "PyTorch",
"app_version": "2.1",
"arguments": "cpu 256 resnet152",
"description": "Device: CPU - Batch Size: 256 - Model: ResNet-152",
"scale": "batches\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 18.989999999999998436805981327779591083526611328125,
"raw_values": [
18.98525616674800176042481325566768646240234375,
18.85636521145099919749554828740656375885009765625,
19.13516012079600159268011339008808135986328125
],
"min_result": [
"18.38"
],
"max_result": [
"19.33"
],
"test_run_times": [
110.090000000000003410605131648480892181396484375,
112.2699999999999960209606797434389591217041015625,
111.090000000000003410605131648480892181396484375
]
},
"b": {
"value": 18.800000000000000710542735760100185871124267578125,
"raw_values": [
18.80164169111500171993611729703843593597412109375
],
"min_result": [
"18.29"
],
"max_result": [
"19.02"
],
"test_run_times": [
112.349999999999994315658113919198513031005859375
]
},
"c": {
"value": 19.10000000000000142108547152020037174224853515625,
"raw_values": [
19.099774562808999434082579682581126689910888671875
],
"min_result": [
"18.59"
],
"max_result": [
"19.3"
],
"test_run_times": [
111.219999999999998863131622783839702606201171875
]
}
}
},
"7afb544279ee7a1db49b8aea8c866917dad4b860": {
"identifier": "pts\/pytorch-1.0.1",
"title": "PyTorch",
"app_version": "2.1",
"arguments": "cpu 512 resnet152",
"description": "Device: CPU - Batch Size: 512 - Model: ResNet-152",
"scale": "batches\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 18.96000000000000085265128291212022304534912109375,
"raw_values": [
18.85555838632399883181278710253536701202392578125,
18.99101968270100115887544234283268451690673828125,
19.01866810394400175709961331449449062347412109375
],
"min_result": [
"18.41"
],
"max_result": [
"19.25"
],
"test_run_times": [
111.8599999999999994315658113919198513031005859375,
110.909999999999996589394868351519107818603515625,
111.43999999999999772626324556767940521240234375
]
},
"b": {
"value": 18.489999999999998436805981327779591083526611328125,
"raw_values": [
18.4921275800760014362822403199970722198486328125
],
"min_result": [
"18.01"
],
"max_result": [
"18.69"
],
"test_run_times": [
113.0799999999999982946974341757595539093017578125
]
},
"c": {
"value": 18.82000000000000028421709430404007434844970703125,
"raw_values": [
18.820093549466999860442228964529931545257568359375
],
"min_result": [
"18.25"
],
"max_result": [
"19.03"
],
"test_run_times": [
112.6299999999999954525264911353588104248046875
]
}
}
},
"06433753eb3461ed54a6c8a439305e4be1795a41": {
"identifier": "pts\/pytorch-1.0.1",
"title": "PyTorch",
"app_version": "2.1",
"arguments": "cpu 1 efficientnet_v2_l",
"description": "Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l",
"scale": "batches\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 12.1899999999999995026200849679298698902130126953125,
"raw_values": [
12.1946338580530007078550625010393559932708740234375,
12.231890015558999351696911617182195186614990234375,
12.1410310415769995273649328737519681453704833984375
],
"min_result": [
"11.91"
],
"max_result": [
"12.38"
],
"test_run_times": [
93.9200000000000017053025658242404460906982421875,
93.75,
94.2900000000000062527760746888816356658935546875
]
},
"b": {
"value": 12.28999999999999914734871708787977695465087890625,
"raw_values": [
12.286794412466999659727662219665944576263427734375
],
"min_result": [
"12.13"
],
"max_result": [
"12.42"
],
"test_run_times": [
93.31999999999999317878973670303821563720703125
]
},
"c": {
"value": 12.269999999999999573674358543939888477325439453125,
"raw_values": [
12.269509057514000005539855919778347015380859375
],
"min_result": [
"12"
],
"max_result": [
"12.4"
],
"test_run_times": [
93.5400000000000062527760746888816356658935546875
]
}
}
},
"c2e61282c984934f432761184e26030c16efcb9a": {
"identifier": "pts\/pytorch-1.0.1",
"title": "PyTorch",
"app_version": "2.1",
"arguments": "cpu 16 efficientnet_v2_l",
"description": "Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l",
"scale": "batches\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 7.519999999999999573674358543939888477325439453125,
"raw_values": [
7.52776953112539981560757951228879392147064208984375,
7.5600573075374999376663254224695265293121337890625,
7.4762043250781999859100324101746082305908203125
],
"min_result": [
"6.92"
],
"max_result": [
"8.16"
],
"test_run_times": [
238.6399999999999863575794734060764312744140625,
239.330000000000012505552149377763271331787109375,
241.1399999999999863575794734060764312744140625
]
},
"b": {
"value": 7.45999999999999996447286321199499070644378662109375,
"raw_values": [
7.460887963687699908632566803134977817535400390625
],
"min_result": [
"6.82"
],
"max_result": [
"8.06"
],
"test_run_times": [
242.460000000000007958078640513122081756591796875
]
},
"c": {
"value": 7.5,
"raw_values": [
7.50377195404419961022313145804218947887420654296875
],
"min_result": [
"7.02"
],
"max_result": [
"8.12"
],
"test_run_times": [
240.43000000000000682121026329696178436279296875
]
}
}
},
"ad7acb19d6a0980c1f004560a7f3b80681cfbe0d": {
"identifier": "pts\/pytorch-1.0.1",
"title": "PyTorch",
"app_version": "2.1",
"arguments": "cpu 32 efficientnet_v2_l",
"description": "Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l",
"scale": "batches\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 7.4900000000000002131628207280300557613372802734375,
"raw_values": [
7.50069796941379962618157151155173778533935546875,
7.46526320680049959577218032791279256343841552734375,
7.5136669349894997793626316706649959087371826171875
],
"min_result": [
"6.96"
],
"max_result": [
"8.11"
],
"test_run_times": [
240.740000000000009094947017729282379150390625,
240.240000000000009094947017729282379150390625,
241.330000000000012505552149377763271331787109375
]
},
"b": {
"value": 7.45000000000000017763568394002504646778106689453125,
"raw_values": [
7.4465419781601998039377576787956058979034423828125
],
"min_result": [
"6.99"
],
"max_result": [
"8.1"
],
"test_run_times": [
241.55000000000001136868377216160297393798828125
]
},
"c": {
"value": 7.519999999999999573674358543939888477325439453125,
"raw_values": [
7.51902435564109961063650189316831529140472412109375
],
"min_result": [
"7.05"
],
"max_result": [
"8.13"
],
"test_run_times": [
241.159999999999996589394868351519107818603515625
]
}
}
},
"1d8b7a6381195710860ba3c50ce35ece847d32da": {
"identifier": "pts\/pytorch-1.0.1",
"title": "PyTorch",
"app_version": "2.1",
"arguments": "cpu 64 efficientnet_v2_l",
"description": "Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_l",
"scale": "batches\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 7.45999999999999996447286321199499070644378662109375,
"raw_values": [
7.46805735586279961779609948280267417430877685546875,
7.48551994273430043591588400886394083499908447265625,
7.43204895465860015946191197144798934459686279296875
],
"min_result": [
"6.94"
],
"max_result": [
"8.17"
],
"test_run_times": [
242.009999999999990905052982270717620849609375,
240.8600000000000136424205265939235687255859375,
242.330000000000012505552149377763271331787109375
]
},
"b": {
"value": 7.45000000000000017763568394002504646778106689453125,
"raw_values": [
7.45037858015080001194974101963452994823455810546875
],
"min_result": [
"6.98"
],
"max_result": [
"8.07"
],
"test_run_times": [
241.31999999999999317878973670303821563720703125
]
},
"c": {
"value": 7.519999999999999573674358543939888477325439453125,
"raw_values": [
7.5207077428849000710897598764859139919281005859375
],
"min_result": [
"5.94"
],
"max_result": [
"8.1"
],
"test_run_times": [
240.830000000000012505552149377763271331787109375
]
}
}
},
"5c0ab769b00e582c1def688c1d7584f0d38e215e": {
"identifier": "pts\/pytorch-1.0.1",
"title": "PyTorch",
"app_version": "2.1",
"arguments": "cpu 256 efficientnet_v2_l",
"description": "Device: CPU - Batch Size: 256 - Model: Efficientnet_v2_l",
"scale": "batches\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 7.46999999999999975131004248396493494510650634765625,
"raw_values": [
7.459165055296200108614357304759323596954345703125,
7.4873262708282997124342728056944906711578369140625,
7.4563417103441995692492128000594675540924072265625
],
"min_result": [
"6.98"
],
"max_result": [
"8.1"
],
"test_run_times": [
241.909999999999996589394868351519107818603515625,
240.75,
242.150000000000005684341886080801486968994140625
]
},
"b": {
"value": 7.4000000000000003552713678800500929355621337890625,
"raw_values": [
7.39928843229010002602308304631151258945465087890625
],
"min_result": [
"6.92"
],
"max_result": [
"8.06"
],
"test_run_times": [
243.25
]
},
"c": {
"value": 7.54000000000000003552713678800500929355621337890625,
"raw_values": [
7.53847738156180025015373757923953235149383544921875
],
"min_result": [
"7.01"
],
"max_result": [
"8.17"
],
"test_run_times": [
240.19999999999998863131622783839702606201171875
]
}
}
},
"929074aab4582ef1068030efa348a3181d819818": {
"identifier": "pts\/pytorch-1.0.1",
"title": "PyTorch",
"app_version": "2.1",
"arguments": "cpu 512 efficientnet_v2_l",
"description": "Device: CPU - Batch Size: 512 - Model: Efficientnet_v2_l",
"scale": "batches\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 7.46999999999999975131004248396493494510650634765625,
"raw_values": [
7.47764215283299993330956567660905420780181884765625,
7.4924697075965003278952281107194721698760986328125,
7.45158242504210033274603119934909045696258544921875
],
"min_result": [
"6.97"
],
"max_result": [
"8.13"
],
"test_run_times": [
241.719999999999998863131622783839702606201171875,
240.8899999999999863575794734060764312744140625,
242.400000000000005684341886080801486968994140625
]
},
"b": {
"value": 7.519999999999999573674358543939888477325439453125,
"raw_values": [
7.51606791533640006264249677769839763641357421875
],
"min_result": [
"7.01"
],
"max_result": [
"8.06"
],
"test_run_times": [
240.509999999999990905052982270717620849609375
]
},
"c": {
"value": 7.480000000000000426325641456060111522674560546875,
"raw_values": [
7.47883679976189963412025463185273110866546630859375
],
"min_result": [
"7.03"
],
"max_result": [
"8.13"
],
"test_run_times": [
241.280000000000001136868377216160297393798828125
]
}
}
},
"33a7b90a826a7c6d0fce4559c190319d632d5c8f": {
"identifier": "pts\/tensorflow-2.1.1",
"title": "TensorFlow",
"app_version": "2.12",
"arguments": "--device cpu --batch_size=1 --model=vgg16",
"description": "Device: CPU - Batch Size: 1 - Model: VGG-16",
"scale": "images\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 9.7400000000000002131628207280300557613372802734375,
"raw_values": [
9.7200000000000006394884621840901672840118408203125,
9.75,
9.75
],
"test_run_times": [
13.089999999999999857891452847979962825775146484375,
12.8900000000000005684341886080801486968994140625,
12.8900000000000005684341886080801486968994140625
]
},
"b": {
"value": 9.730000000000000426325641456060111522674560546875,
"test_run_times": [
12.9199999999999999289457264239899814128875732421875
]
},
"c": {
"value": 9.7200000000000006394884621840901672840118408203125,
"test_run_times": [
12.949999999999999289457264239899814128875732421875
]
}
}
},
"f7f842cc42f7e1ed869ec6ef2ce0bbeaf19bdfb9": {
"identifier": "pts\/tensorflow-2.1.1",
"title": "TensorFlow",
"app_version": "2.12",
"arguments": "--device cpu --batch_size=1 --model=alexnet",
"description": "Device: CPU - Batch Size: 1 - Model: AlexNet",
"scale": "images\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 25.719999999999998863131622783839702606201171875,
"raw_values": [
25.660000000000000142108547152020037174224853515625,
25.769999999999999573674358543939888477325439453125,
25.730000000000000426325641456060111522674560546875
],
"test_run_times": [
5.69000000000000039079850466805510222911834716796875,
5.62000000000000010658141036401502788066864013671875,
5.62999999999999989341858963598497211933135986328125
]
},
"b": {
"value": 25.809999999999998721023075631819665431976318359375,
"test_run_times": [
5.63999999999999968025576890795491635799407958984375
]
},
"c": {
"value": 25.96000000000000085265128291212022304534912109375,
"test_run_times": [
5.5999999999999996447286321199499070644378662109375
]
}
}
},
"3fbe75850075f543842076e3c2d8f292f0186e73": {
"identifier": "pts\/tensorflow-2.1.1",
"title": "TensorFlow",
"app_version": "2.12",
"arguments": "--device cpu --batch_size=16 --model=vgg16",
"description": "Device: CPU - Batch Size: 16 - Model: VGG-16",
"scale": "images\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 44.409999999999996589394868351519107818603515625,
"raw_values": [
44.39999999999999857891452847979962825775146484375,
44.4200000000000017053025658242404460906982421875,
44.39999999999999857891452847979962825775146484375
],
"test_run_times": [
41.42999999999999971578290569595992565155029296875,
41.49000000000000198951966012828052043914794921875,
41.5
]
},
"b": {
"value": 44.5,
"test_run_times": [
41.3900000000000005684341886080801486968994140625
]
},
"c": {
"value": 44.47999999999999687361196265555918216705322265625,
"test_run_times": [
41.3900000000000005684341886080801486968994140625
]
}
}
},
"cb8ce2ccb673f60de66931f3ec39f2a5e56ce93b": {
"identifier": "pts\/tensorflow-2.1.1",
"title": "TensorFlow",
"app_version": "2.12",
"arguments": "--device cpu --batch_size=32 --model=vgg16",
"description": "Device: CPU - Batch Size: 32 - Model: VGG-16",
"scale": "images\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 48.8900000000000005684341886080801486968994140625,
"raw_values": [
49.030000000000001136868377216160297393798828125,
48.85000000000000142108547152020037174224853515625,
48.780000000000001136868377216160297393798828125
],
"test_run_times": [
73.6299999999999954525264911353588104248046875,
73.8700000000000045474735088646411895751953125,
74.030000000000001136868377216160297393798828125
]
},
"b": {
"value": 48.92999999999999971578290569595992565155029296875,
"test_run_times": [
73.75
]
},
"c": {
"value": 48.81000000000000227373675443232059478759765625,
"test_run_times": [
73.93999999999999772626324556767940521240234375
]
}
}
},
"90294a061c5507051c2db267555f0c8606fbfcce": {
"identifier": "pts\/tensorflow-2.1.1",
"title": "TensorFlow",
"app_version": "2.12",
"arguments": "--device cpu --batch_size=64 --model=vgg16",
"description": "Device: CPU - Batch Size: 64 - Model: VGG-16",
"scale": "images\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 52.9500000000000028421709430404007434844970703125,
"raw_values": [
53.06000000000000227373675443232059478759765625,
52.86999999999999744204615126363933086395263671875,
52.9200000000000017053025658242404460906982421875
],
"test_run_times": [
134.75,
135.18000000000000682121026329696178436279296875,
135.1399999999999863575794734060764312744140625
]
},
"b": {
"value": 53,
"test_run_times": [
134.8700000000000045474735088646411895751953125
]
},
"c": {
"value": 52.909999999999996589394868351519107818603515625,
"test_run_times": [
135.090000000000003410605131648480892181396484375
]
}
}
},
"af6eaa334bdf76b113725dd052a9c20f8478f446": {
"identifier": "pts\/tensorflow-2.1.1",
"title": "TensorFlow",
"app_version": "2.12",
"arguments": "--device cpu --batch_size=16 --model=alexnet",
"description": "Device: CPU - Batch Size: 16 - Model: AlexNet",
"scale": "images\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 311.970000000000027284841053187847137451171875,
"raw_values": [
312.92000000000001591615728102624416351318359375,
310.06999999999999317878973670303821563720703125,
312.92000000000001591615728102624416351318359375
],
"test_run_times": [
7.11000000000000031974423109204508364200592041015625,
7.089999999999999857891452847979962825775146484375,
7.04999999999999982236431605997495353221893310546875
]
},
"b": {
"value": 312.07999999999998408384271897375583648681640625,
"test_run_times": [
7.12999999999999989341858963598497211933135986328125
]
},
"c": {
"value": 312.1399999999999863575794734060764312744140625,
"test_run_times": [
7.12999999999999989341858963598497211933135986328125
]
}
}
},
"80ca7c49ae4dd52bacaa8b78aa89ef30255567b9": {
"identifier": "pts\/tensorflow-2.1.1",
"title": "TensorFlow",
"app_version": "2.12",
"arguments": "--device cpu --batch_size=256 --model=vgg16",
"description": "Device: CPU - Batch Size: 256 - Model: VGG-16",
"scale": "images\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 57.1400000000000005684341886080801486968994140625,
"raw_values": [
57.11999999999999744204615126363933086395263671875,
57.11999999999999744204615126363933086395263671875,
57.18999999999999772626324556767940521240234375
],
"test_run_times": [
495.57999999999998408384271897375583648681640625,
495.8899999999999863575794734060764312744140625,
495.240000000000009094947017729282379150390625
]
},
"b": {
"value": 57.1099999999999994315658113919198513031005859375,
"test_run_times": [
495.8500000000000227373675443232059478759765625
]
},
"c": {
"value": 57.14999999999999857891452847979962825775146484375,
"test_run_times": [
495.42000000000001591615728102624416351318359375
]
}
}
},
"c165c49bdb1fdec71417e5acc5264e6b685b474b": {
"identifier": "pts\/tensorflow-2.1.1",
"title": "TensorFlow",
"app_version": "2.12",
"arguments": "--device cpu --batch_size=32 --model=alexnet",
"description": "Device: CPU - Batch Size: 32 - Model: AlexNet",
"scale": "images\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 510.66000000000002501110429875552654266357421875,
"raw_values": [
511.51999999999998181010596454143524169921875,
510.31999999999999317878973670303821563720703125,
510.1399999999999863575794734060764312744140625
],
"test_run_times": [
8.3599999999999994315658113919198513031005859375,
8.3599999999999994315658113919198513031005859375,
8.3599999999999994315658113919198513031005859375
]
},
"b": {
"value": 508.51999999999998181010596454143524169921875,
"test_run_times": [
8.410000000000000142108547152020037174224853515625
]
},
"c": {
"value": 510.3999999999999772626324556767940521240234375,
"test_run_times": [
8.3699999999999992184029906638897955417633056640625
]
}
}
},
"cbede16081e8711a002140888ae5bd8b4b7d9197": {
"identifier": "pts\/tensorflow-2.1.1",
"title": "TensorFlow",
"app_version": "2.12",
"arguments": "--device cpu --batch_size=512 --model=vgg16",
"description": "Device: CPU - Batch Size: 512 - Model: VGG-16",
"scale": "images\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 57.969999999999998863131622783839702606201171875,
"raw_values": [
57.99000000000000198951966012828052043914794921875,
58,
57.92999999999999971578290569595992565155029296875
],
"test_run_times": [
974.6799999999999499777914024889469146728515625,
975.1499999999999772626324556767940521240234375,
976.23000000000001818989403545856475830078125
]
},
"b": {
"value": 57.969999999999998863131622783839702606201171875,
"test_run_times": [
975.4299999999999499777914024889469146728515625
]
},
"c": {
"value": 57.99000000000000198951966012828052043914794921875,
"test_run_times": [
975.029999999999972715158946812152862548828125
]
}
}
},
"be32f134f684dcae171ed12f4f1ae73a0e2aecc1": {
"identifier": "pts\/tensorflow-2.1.1",
"title": "TensorFlow",
"app_version": "2.12",
"arguments": "--device cpu --batch_size=64 --model=alexnet",
"description": "Device: CPU - Batch Size: 64 - Model: AlexNet",
"scale": "images\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 740.4600000000000363797880709171295166015625,
"raw_values": [
741.51999999999998181010596454143524169921875,
739.94000000000005456968210637569427490234375,
739.9299999999999499777914024889469146728515625
],
"test_run_times": [
10.980000000000000426325641456060111522674560546875,
11.019999999999999573674358543939888477325439453125,
11.0600000000000004973799150320701301097869873046875
]
},
"b": {
"value": 741.76999999999998181010596454143524169921875,
"test_run_times": [
11.0299999999999993605115378159098327159881591796875
]
},
"c": {
"value": 741.0399999999999636202119290828704833984375,
"test_run_times": [
11.03999999999999914734871708787977695465087890625
]
}
}
},
"bd5f54a420eb34245418300a8e9ccf0beb3abdc5": {
"identifier": "pts\/tensorflow-2.1.1",
"title": "TensorFlow",
"app_version": "2.12",
"arguments": "--device cpu --batch_size=1 --model=googlenet",
"description": "Device: CPU - Batch Size: 1 - Model: GoogLeNet",
"scale": "images\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 21.82000000000000028421709430404007434844970703125,
"raw_values": [
22.5,
22.3900000000000005684341886080801486968994140625,
20.1400000000000005684341886080801486968994140625,
20.1400000000000005684341886080801486968994140625,
22.53999999999999914734871708787977695465087890625,
22.280000000000001136868377216160297393798828125,
22.440000000000001278976924368180334568023681640625,
22.449999999999999289457264239899814128875732421875,
22.620000000000000994759830064140260219573974609375,
22.42999999999999971578290569595992565155029296875,
22.6099999999999994315658113919198513031005859375,
22.57000000000000028421709430404007434844970703125,
22.260000000000001563194018672220408916473388671875,
19.9200000000000017053025658242404460906982421875,
20.019999999999999573674358543939888477325439453125
],
"test_run_times": [
7.019999999999999573674358543939888477325439453125,
7.0099999999999997868371792719699442386627197265625,
7.54999999999999982236431605997495353221893310546875,
7.62000000000000010658141036401502788066864013671875,
7,
7.07000000000000028421709430404007434844970703125,
6.980000000000000426325641456060111522674560546875,
7.03000000000000024868995751603506505489349365234375,
6.96999999999999975131004248396493494510650634765625,
6.9900000000000002131628207280300557613372802734375,
6.96999999999999975131004248396493494510650634765625,
6.95999999999999996447286321199499070644378662109375,
7.07000000000000028421709430404007434844970703125,
7.5999999999999996447286321199499070644378662109375,
7.55999999999999960920149533194489777088165283203125
]
},
"b": {
"value": 22.589999999999999857891452847979962825775146484375,
"test_run_times": [
6.980000000000000426325641456060111522674560546875
]
},
"c": {
"value": 22.370000000000000994759830064140260219573974609375,
"test_run_times": [
7.019999999999999573674358543939888477325439453125
]
}
}
},
"092870ce54d68f9a733b3087de8f6cac555c6faf": {
"identifier": "pts\/tensorflow-2.1.1",
"title": "TensorFlow",
"app_version": "2.12",
"arguments": "--device cpu --batch_size=1 --model=resnet50",
"description": "Device: CPU - Batch Size: 1 - Model: ResNet-50",
"scale": "images\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 7.19000000000000039079850466805510222911834716796875,
"raw_values": [
7.20999999999999996447286321199499070644378662109375,
7.11000000000000031974423109204508364200592041015625,
7.2599999999999997868371792719699442386627197265625
],
"test_run_times": [
18.10000000000000142108547152020037174224853515625,
18.379999999999999005240169935859739780426025390625,
18.03999999999999914734871708787977695465087890625
]
},
"b": {
"value": 7.2599999999999997868371792719699442386627197265625,
"test_run_times": [
18.059999999999998721023075631819665431976318359375
]
},
"c": {
"value": 7.25,
"test_run_times": [
18.019999999999999573674358543939888477325439453125
]
}
}
},
"06eac0588a71a2425d97f7d0c51391a642497364": {
"identifier": "pts\/tensorflow-2.1.1",
"title": "TensorFlow",
"app_version": "2.12",
"arguments": "--device cpu --batch_size=256 --model=alexnet",
"description": "Device: CPU - Batch Size: 256 - Model: AlexNet",
"scale": "images\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 1070.73000000000001818989403545856475830078125,
"raw_values": [
1074.6300000000001091393642127513885498046875,
1070.160000000000081854523159563541412353515625,
1067.390000000000100044417195022106170654296875
],
"test_run_times": [
27.800000000000000710542735760100185871124267578125,
27.96000000000000085265128291212022304534912109375,
27.949999999999999289457264239899814128875732421875
]
},
"b": {
"value": 1073.51999999999998181010596454143524169921875,
"test_run_times": [
27.839999999999999857891452847979962825775146484375
]
},
"c": {
"value": 1075.089999999999918145476840436458587646484375,
"test_run_times": [
27.809999999999998721023075631819665431976318359375
]
}
}
},
"7f6df21a93ba35489085a609ea69619f513d19d8": {
"identifier": "pts\/tensorflow-2.1.1",
"title": "TensorFlow",
"app_version": "2.12",
"arguments": "--device cpu --batch_size=512 --model=alexnet",
"description": "Device: CPU - Batch Size: 512 - Model: AlexNet",
"scale": "images\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 1145.660000000000081854523159563541412353515625,
"raw_values": [
1146.910000000000081854523159563541412353515625,
1146.15000000000009094947017729282379150390625,
1143.930000000000063664629124104976654052734375
],
"test_run_times": [
50.78999999999999914734871708787977695465087890625,
50.82000000000000028421709430404007434844970703125,
50.92999999999999971578290569595992565155029296875
]
},
"b": {
"value": 1148.3800000000001091393642127513885498046875,
"test_run_times": [
50.74000000000000198951966012828052043914794921875
]
},
"c": {
"value": 1151.26999999999998181010596454143524169921875,
"test_run_times": [
50.64999999999999857891452847979962825775146484375
]
}
}
},
"8830b09e158de8a9d2b1f8cc75119beba467c9be": {
"identifier": "pts\/tensorflow-2.1.1",
"title": "TensorFlow",
"app_version": "2.12",
"arguments": "--device cpu --batch_size=16 --model=googlenet",
"description": "Device: CPU - Batch Size: 16 - Model: GoogLeNet",
"scale": "images\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 187.919999999999987494447850622236728668212890625,
"raw_values": [
188.31000000000000227373675443232059478759765625,
186.81000000000000227373675443232059478759765625,
188.6299999999999954525264911353588104248046875
],
"test_run_times": [
11.5800000000000000710542735760100185871124267578125,
11.6400000000000005684341886080801486968994140625,
11.550000000000000710542735760100185871124267578125
]
},
"b": {
"value": 188.5,
"test_run_times": [
11.6199999999999992184029906638897955417633056640625
]
},
"c": {
"value": 188.520000000000010231815394945442676544189453125,
"test_run_times": [
11.5800000000000000710542735760100185871124267578125
]
}
}
},
"a19a31eae722217497dbf8e872f44816c3fc32f4": {
"identifier": "pts\/tensorflow-2.1.1",
"title": "TensorFlow",
"app_version": "2.12",
"arguments": "--device cpu --batch_size=16 --model=resnet50",
"description": "Device: CPU - Batch Size: 16 - Model: ResNet-50",
"scale": "images\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 54.7000000000000028421709430404007434844970703125,
"raw_values": [
54.57000000000000028421709430404007434844970703125,
54.74000000000000198951966012828052043914794921875,
54.78999999999999914734871708787977695465087890625
],
"test_run_times": [
35.3599999999999994315658113919198513031005859375,
35.22999999999999687361196265555918216705322265625,
35.1700000000000017053025658242404460906982421875
]
},
"b": {
"value": 54.43999999999999772626324556767940521240234375,
"test_run_times": [
35.409999999999996589394868351519107818603515625
]
},
"c": {
"value": 54.719999999999998863131622783839702606201171875,
"test_run_times": [
35.27000000000000312638803734444081783294677734375
]
}
}
},
"a33fa703650a85f1e3929a0d209ba4b531b048c2": {
"identifier": "pts\/tensorflow-2.1.1",
"title": "TensorFlow",
"app_version": "2.12",
"arguments": "--device cpu --batch_size=32 --model=googlenet",
"description": "Device: CPU - Batch Size: 32 - Model: GoogLeNet",
"scale": "images\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 226.849999999999994315658113919198513031005859375,
"raw_values": [
225.1200000000000045474735088646411895751953125,
228.340000000000003410605131648480892181396484375,
227.090000000000003410605131648480892181396484375
],
"test_run_times": [
17.92999999999999971578290569595992565155029296875,
17.6700000000000017053025658242404460906982421875,
17.780000000000001136868377216160297393798828125
]
},
"b": {
"value": 231.6100000000000136424205265939235687255859375,
"test_run_times": [
17.480000000000000426325641456060111522674560546875
]
},
"c": {
"value": 222.039999999999992041921359486877918243408203125,
"test_run_times": [
18.120000000000000994759830064140260219573974609375
]
}
}
},
"7ed50edd7b3d9b97ba98e7b3549cae2e1c4ebe62": {
"identifier": "pts\/tensorflow-2.1.1",
"title": "TensorFlow",
"app_version": "2.12",
"arguments": "--device cpu --batch_size=32 --model=resnet50",
"description": "Device: CPU - Batch Size: 32 - Model: ResNet-50",
"scale": "images\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 69.43000000000000682121026329696178436279296875,
"raw_values": [
69.3799999999999954525264911353588104248046875,
69.4899999999999948840923025272786617279052734375,
69.409999999999996589394868351519107818603515625
],
"test_run_times": [
53.9200000000000017053025658242404460906982421875,
53.88000000000000255795384873636066913604736328125,
53.96000000000000085265128291212022304534912109375
]
},
"b": {
"value": 69.4899999999999948840923025272786617279052734375,
"test_run_times": [
53.840000000000003410605131648480892181396484375
]
},
"c": {
"value": 69.1700000000000017053025658242404460906982421875,
"test_run_times": [
54.02000000000000312638803734444081783294677734375
]
}
}
},
"72d57345c2fb054a7ec83ee6fa3c8c2b85fec524": {
"identifier": "pts\/tensorflow-2.1.1",
"title": "TensorFlow",
"app_version": "2.12",
"arguments": "--device cpu --batch_size=64 --model=googlenet",
"description": "Device: CPU - Batch Size: 64 - Model: GoogLeNet",
"scale": "images\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 272.16000000000002501110429875552654266357421875,
"raw_values": [
273.470000000000027284841053187847137451171875,
270.3700000000000045474735088646411895751953125,
272.6299999999999954525264911353588104248046875
],
"test_run_times": [
28.1400000000000005684341886080801486968994140625,
28.449999999999999289457264239899814128875732421875,
28.239999999999998436805981327779591083526611328125
]
},
"b": {
"value": 272.220000000000027284841053187847137451171875,
"test_run_times": [
28.239999999999998436805981327779591083526611328125
]
},
"c": {
"value": 272.83999999999997498889570124447345733642578125,
"test_run_times": [
28.230000000000000426325641456060111522674560546875
]
}
}
},
"710d858e39b9394d3d7af3968973103c64ef880e": {
"identifier": "pts\/tensorflow-2.1.1",
"title": "TensorFlow",
"app_version": "2.12",
"arguments": "--device cpu --batch_size=64 --model=resnet50",
"description": "Device: CPU - Batch Size: 64 - Model: ResNet-50",
"scale": "images\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 80,
"raw_values": [
80.099999999999994315658113919198513031005859375,
80,
79.900000000000005684341886080801486968994140625
],
"test_run_times": [
91.2699999999999960209606797434389591217041015625,
91.3900000000000005684341886080801486968994140625,
91.4200000000000017053025658242404460906982421875
]
},
"b": {
"value": 79.7699999999999960209606797434389591217041015625,
"test_run_times": [
91.650000000000005684341886080801486968994140625
]
},
"c": {
"value": 79.8700000000000045474735088646411895751953125,
"test_run_times": [
91.43999999999999772626324556767940521240234375
]
}
}
},
"f8f6ebd058853c97c35f5d1968cb8cd618445860": {
"identifier": "pts\/tensorflow-2.1.1",
"title": "TensorFlow",
"app_version": "2.12",
"arguments": "--device cpu --batch_size=256 --model=googlenet",
"description": "Device: CPU - Batch Size: 256 - Model: GoogLeNet",
"scale": "images\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 311.6000000000000227373675443232059478759765625,
"raw_values": [
311.1100000000000136424205265939235687255859375,
312.009999999999990905052982270717620849609375,
311.68999999999999772626324556767940521240234375
],
"test_run_times": [
93.219999999999998863131622783839702606201171875,
92.93999999999999772626324556767940521240234375,
93.099999999999994315658113919198513031005859375
]
},
"b": {
"value": 311.23000000000001818989403545856475830078125,
"test_run_times": [
93.1400000000000005684341886080801486968994140625
]
},
"c": {
"value": 311.73000000000001818989403545856475830078125,
"test_run_times": [
93.0100000000000051159076974727213382720947265625
]
}
}
},
"71a4639fe47bdee738bd114dcea823f6ef79b778": {
"identifier": "pts\/tensorflow-2.1.1",
"title": "TensorFlow",
"app_version": "2.12",
"arguments": "--device cpu --batch_size=256 --model=resnet50",
"description": "Device: CPU - Batch Size: 256 - Model: ResNet-50",
"scale": "images\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 91.1200000000000045474735088646411895751953125,
"raw_values": [
91.159999999999996589394868351519107818603515625,
91.1400000000000005684341886080801486968994140625,
91.06000000000000227373675443232059478759765625
],
"test_run_times": [
313.759999999999990905052982270717620849609375,
313.68000000000000682121026329696178436279296875,
313.98000000000001818989403545856475830078125
]
},
"b": {
"value": 91.1299999999999954525264911353588104248046875,
"test_run_times": [
313.80000000000001136868377216160297393798828125
]
},
"c": {
"value": 91.1099999999999994315658113919198513031005859375,
"test_run_times": [
313.779999999999972715158946812152862548828125
]
}
}
},
"f1a363f2cb22ae937605987c15f3939f96b5bdd9": {
"identifier": "pts\/tensorflow-2.1.1",
"title": "TensorFlow",
"app_version": "2.12",
"arguments": "--device cpu --batch_size=512 --model=googlenet",
"description": "Device: CPU - Batch Size: 512 - Model: GoogLeNet",
"scale": "images\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 315.490000000000009094947017729282379150390625,
"raw_values": [
315.44999999999998863131622783839702606201171875,
315.220000000000027284841053187847137451171875,
315.81000000000000227373675443232059478759765625
],
"test_run_times": [
181.6399999999999863575794734060764312744140625,
181.75,
181.5
]
},
"b": {
"value": 315.82999999999998408384271897375583648681640625,
"test_run_times": [
181.3700000000000045474735088646411895751953125
]
},
"c": {
"value": 316.04000000000002046363078989088535308837890625,
"test_run_times": [
181.280000000000001136868377216160297393798828125
]
}
}
},
"80d14f3bce38107746885424e18fe36dcac7f7f4": {
"identifier": "pts\/tensorflow-2.1.1",
"title": "TensorFlow",
"app_version": "2.12",
"arguments": "--device cpu --batch_size=512 --model=resnet50",
"description": "Device: CPU - Batch Size: 512 - Model: ResNet-50",
"scale": "images\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 95.0499999999999971578290569595992565155029296875,
"raw_values": [
95.06999999999999317878973670303821563720703125,
95.0400000000000062527760746888816356658935546875,
95.0400000000000062527760746888816356658935546875
],
"test_run_times": [
598.8600000000000136424205265939235687255859375,
598.9600000000000363797880709171295166015625,
599.049999999999954525264911353588104248046875
]
},
"b": {
"value": 95.0799999999999982946974341757595539093017578125,
"test_run_times": [
599.0399999999999636202119290828704833984375
]
},
"c": {
"value": 95.0400000000000062527760746888816356658935546875,
"test_run_times": [
599.0900000000000318323145620524883270263671875
]
}
}
}
}
}