AMD EPYC 9684X 3D V-Cache

AMD EPYC 9684X 96-Core testing with a AMD Titanite_4G (RTI1007B BIOS) and ASPEED on Ubuntu 22.04 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2307207-NE-UPLOAD92587
Jump To Table - Results

Statistics

Remove Outliers Before Calculating Averages

Graph Settings

Prefer Vertical Bar Graphs

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Result
Identifier
View Logs
Performance Per
Dollar
Date
Run
  Test
  Duration
Default
July 17 2023
  1 Day, 8 Hours, 22 Minutes
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):

{ "title": "AMD EPYC 9684X 3D V-Cache", "last_modified": "2023-07-20 14:42:08", "description": "AMD EPYC 9684X 96-Core testing with a AMD Titanite_4G (RTI1007B BIOS) and ASPEED on Ubuntu 22.04 via the Phoronix Test Suite.", "systems": { "Default": { "identifier": "Default", "hardware": { "Processor": "AMD EPYC 9684X 96-Core @ 2.55GHz (96 Cores \/ 192 Threads)", "Motherboard": "AMD Titanite_4G (RTI1007B BIOS)", "Chipset": "AMD Device 14a4", "Memory": "768GB", "Disk": "2 x 1920GB SAMSUNG MZWLJ1T9HBJR-00007", "Graphics": "ASPEED", "Network": "Broadcom NetXtreme BCM5720 PCIe" }, "software": { "OS": "Ubuntu 22.04", "Kernel": "5.19.0-41-generic (x86_64)", "Desktop": "GNOME Shell 42.5", "Display Server": "X Server 1.21.1.4", "Vulkan": "1.3.224", "Compiler": "GCC 11.3.0", "File-System": "ext4", "Screen Resolution": "1024x768" }, "user": "phoronix", "timestamp": "2023-07-17 20:53:55", "client_version": "10.8.4", "data": { "compiler-configuration": "--build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=\/build\/gcc-11-xKiWfi\/gcc-11-11.3.0\/debian\/tmp-nvptx\/usr,amdgcn-amdhsa=\/build\/gcc-11-xKiWfi\/gcc-11-11.3.0\/debian\/tmp-gcn\/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v", "cpu-scaling-governor": "acpi-cpufreq performance (Boost: Enabled)", "cpu-microcode": "0xa101121", "kernel-extra-details": "Transparent Huge Pages: madvise", "python": "Python 3.10.6", "security": "itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: 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 Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected" } } }, "results": { "3459884f8b5648cdf1a7e25a029bbad8b0079db8": { "identifier": "pts\/stress-ng-1.10.0", "title": "Stress-NG", "app_version": "0.15.10", "arguments": "--rdrand -1 --no-rand-seed", "description": "Test: x86_64 RdRand", "display_format": "BAR_GRAPH", "results": { "Default": { "test_run_times": [ 0.01000000000000000020816681711721685132943093776702880859375, 0.01000000000000000020816681711721685132943093776702880859375, 0.01000000000000000020816681711721685132943093776702880859375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O2 -std=gnu99 -lc" }, "error": "The test run did not produce a result. E: stress-ng: error: [1283964] No stress workers invoked (one or more were unsupported)" } } } }, "a4a75f365678ce9f03d470b307f3e3f6ce801f9f": { "identifier": "pts\/stress-ng-1.10.0", "title": "Stress-NG", "app_version": "0.15.10", "arguments": "--hash -1 --no-rand-seed", "description": "Test: Hash", "scale": "Bogo Ops\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 18746640.5500000007450580596923828125, "raw_values": [ 18746919.85999999940395355224609375, 18753317.3399999998509883880615234375, 18739684.460000000894069671630859375 ], "test_run_times": [ 30.07000000000000028421709430404007434844970703125, 30.1700000000000017053025658242404460906982421875, 30.07000000000000028421709430404007434844970703125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O2 -std=gnu99 -lc" } } } } }, "da5e5818231c140850e9a212d3fb19b2a6e61202": { "identifier": "pts\/stress-ng-1.10.0", "title": "Stress-NG", "app_version": "0.15.10", "arguments": "--mmap -1 --no-rand-seed", "description": "Test: MMAP", "scale": "Bogo Ops\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 1444.920000000000072759576141834259033203125, "raw_values": [ 1446.319999999999936335370875895023345947265625, 1444.839999999999918145476840436458587646484375, 1443.609999999999899955582804977893829345703125 ], "test_run_times": [ 31.379999999999999005240169935859739780426025390625, 30.67999999999999971578290569595992565155029296875, 30.780000000000001136868377216160297393798828125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O2 -std=gnu99 -lc" } } } } }, "295bb336f137c2664e53738f941c1375aee4dfcb": { "identifier": "pts\/stress-ng-1.10.0", "title": "Stress-NG", "app_version": "0.15.10", "arguments": "--numa -1 --no-rand-seed", "description": "Test: NUMA", "scale": "Bogo Ops\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 2478.5399999999999636202119290828704833984375, "raw_values": [ 2479.84000000000014551915228366851806640625, 2466.84000000000014551915228366851806640625, 2488.9499999999998181010596454143524169921875 ], "test_run_times": [ 30.120000000000000994759830064140260219573974609375, 30.120000000000000994759830064140260219573974609375, 30.190000000000001278976924368180334568023681640625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O2 -std=gnu99 -lc" } } } } }, "3692412864b2035180913e844c20ec686e46e113": { "identifier": "pts\/stress-ng-1.10.0", "title": "Stress-NG", "app_version": "0.15.10", "arguments": "--pipe -1 --no-rand-seed", "description": "Test: Pipe", "scale": "Bogo Ops\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 60302912.67000000178813934326171875, "raw_values": [ 59322292.850000001490116119384765625, 61430058.740000002086162567138671875, 60156386.4099999964237213134765625 ], "test_run_times": [ 30.07000000000000028421709430404007434844970703125, 30.07000000000000028421709430404007434844970703125, 30.1700000000000017053025658242404460906982421875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O2 -std=gnu99 -lc" } } } } }, "ef98a2bc646d99f66b52deb5e596b84f345eeaa3": { "identifier": "pts\/stress-ng-1.10.0", "title": "Stress-NG", "app_version": "0.15.10", "arguments": "--poll -1 --no-rand-seed", "description": "Test: Poll", "scale": "Bogo Ops\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 13269096.61999999918043613433837890625, "raw_values": [ 13254791.9800000004470348358154296875, 13274764.5199999995529651641845703125, 13277733.35999999940395355224609375 ], "test_run_times": [ 30.07000000000000028421709430404007434844970703125, 30.07000000000000028421709430404007434844970703125, 30.269999999999999573674358543939888477325439453125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O2 -std=gnu99 -lc" } } } } }, "32f4f3a00c858bab844cb045d88e82464cddbd8b": { "identifier": "pts\/stress-ng-1.10.0", "title": "Stress-NG", "app_version": "0.15.10", "arguments": "--zlib -1 --no-rand-seed", "description": "Test: Zlib", "scale": "Bogo Ops\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 10471.170000000000072759576141834259033203125, "raw_values": [ 10474.25, 10473.70000000000072759576141834259033203125, 10465.5699999999997089616954326629638671875 ], "test_run_times": [ 30.39999999999999857891452847979962825775146484375, 30.3900000000000005684341886080801486968994140625, 30.42999999999999971578290569595992565155029296875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O2 -std=gnu99 -lc" } } } } }, "5088ad2c4907f85d707d80b6b1382785d0257ee8": { "identifier": "pts\/stress-ng-1.10.0", "title": "Stress-NG", "app_version": "0.15.10", "arguments": "--futex -1 --no-rand-seed", "description": "Test: Futex", "scale": "Bogo Ops\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 3985709.5600000000558793544769287109375, "raw_values": [ 4008510.2299999999813735485076904296875, 3960880.75, 3987737.700000000186264514923095703125 ], "test_run_times": [ 30.1099999999999994315658113919198513031005859375, 30.1099999999999994315658113919198513031005859375, 30.199999999999999289457264239899814128875732421875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O2 -std=gnu99 -lc" } } } } }, "78944fa0f890057c6f133f40404a095f47ebd1e3": { "identifier": "pts\/stress-ng-1.10.0", "title": "Stress-NG", "app_version": "0.15.10", "arguments": "--memfd -1 --no-rand-seed", "description": "Test: MEMFD", "scale": "Bogo Ops\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 454.75, "raw_values": [ 453.81999999999999317878973670303821563720703125, 454.01999999999998181010596454143524169921875, 456.3999999999999772626324556767940521240234375 ], "test_run_times": [ 30.67999999999999971578290569595992565155029296875, 30.67999999999999971578290569595992565155029296875, 30.67999999999999971578290569595992565155029296875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O2 -std=gnu99 -lc" } } } } }, "126869433d06523b934b03f46dd40435b087340c": { "identifier": "pts\/stress-ng-1.10.0", "title": "Stress-NG", "app_version": "0.15.10", "arguments": "--mutex -1 --no-rand-seed", "description": "Test: Mutex", "scale": "Bogo Ops\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 49736118.060000002384185791015625, "raw_values": [ 49504282.89000000059604644775390625, 50024269.939999997615814208984375, 49679801.35999999940395355224609375 ], "test_run_times": [ 30.0799999999999982946974341757595539093017578125, 30.0799999999999982946974341757595539093017578125, 30.0799999999999982946974341757595539093017578125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O2 -std=gnu99 -lc" } } } } }, "30c456ff966013d2a9f10345e1c0732843f5dfb8": { "identifier": "pts\/stress-ng-1.10.0", "title": "Stress-NG", "app_version": "0.15.10", "arguments": "--atomic -1 --no-rand-seed", "description": "Test: Atomic", "scale": "Bogo Ops\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 237.830000000000012505552149377763271331787109375, "raw_values": [ 237.8799999999999954525264911353588104248046875, 237.719999999999998863131622783839702606201171875, 237.8799999999999954525264911353588104248046875 ], "test_run_times": [ 31.60000000000000142108547152020037174224853515625, 31.64999999999999857891452847979962825775146484375, 31.6099999999999994315658113919198513031005859375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O2 -std=gnu99 -lc" } } } } }, "038c9417c9e1f12df07ac73f15f8a3159055213a": { "identifier": "pts\/stress-ng-1.10.0", "title": "Stress-NG", "app_version": "0.15.10", "arguments": "--crypt -1 --no-rand-seed", "description": "Test: Crypto", "scale": "Bogo Ops\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 202368.609999999986030161380767822265625, "raw_values": [ 202547.29000000000814907252788543701171875, 201538.48000000001047737896442413330078125, 203020.0700000000069849193096160888671875 ], "test_run_times": [ 30.07000000000000028421709430404007434844970703125, 30.07000000000000028421709430404007434844970703125, 30.1700000000000017053025658242404460906982421875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O2 -std=gnu99 -lc" } } } } }, "d49da7bec1e5f4ebf979d1e58a0a8d590b78985e": { "identifier": "pts\/stress-ng-1.10.0", "title": "Stress-NG", "app_version": "0.15.10", "arguments": "--malloc -1 --no-rand-seed", "description": "Test: Malloc", "scale": "Bogo Ops\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 360348999.64999997615814208984375, "raw_values": [ 360664574.35000002384185791015625, 361002878.180000007152557373046875, 359379546.430000007152557373046875 ], "test_run_times": [ 30.589999999999999857891452847979962825775146484375, 30.60000000000000142108547152020037174224853515625, 30.60000000000000142108547152020037174224853515625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O2 -std=gnu99 -lc" } } } } }, "6dade2e093a5bf4ad55bc9e713c5eead8da554e4": { "identifier": "pts\/stress-ng-1.10.0", "title": "Stress-NG", "app_version": "0.15.10", "arguments": "--clone -1 --no-rand-seed", "description": "Test: Cloning", "scale": "Bogo Ops\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 12478.739999999999781721271574497222900390625, "raw_values": [ 18072.9000000000014551915228366851806640625, 12795.02000000000043655745685100555419921875, 15930.9599999999991268850862979888916015625, 13709.190000000000509317032992839813232421875, 11297.639999999999417923390865325927734375, 16026.059999999999490682967007160186767578125, 11049.65999999999985448084771633148193359375, 10585.3199999999997089616954326629638671875, 14048.90999999999985448084771633148193359375, 10737.719999999999345163814723491668701171875, 9985.9599999999991268850862979888916015625, 5505.5399999999999636202119290828704833984375 ], "test_run_times": [ 30.78999999999999914734871708787977695465087890625, 30.660000000000000142108547152020037174224853515625, 30.699999999999999289457264239899814128875732421875, 30.690000000000001278976924368180334568023681640625, 30.699999999999999289457264239899814128875732421875, 30.75, 30.719999999999998863131622783839702606201171875, 30.739999999999998436805981327779591083526611328125, 30.75, 30.75, 30.780000000000001136868377216160297393798828125, 30.660000000000000142108547152020037174224853515625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O2 -std=gnu99 -lc" } } } } }, "7c795bf72e1567846977b7c1a0748a2130319eab": { "identifier": "pts\/stress-ng-1.10.0", "title": "Stress-NG", "app_version": "0.15.10", "arguments": "--fork -1 --no-rand-seed", "description": "Test: Forking", "scale": "Bogo Ops\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 40400.830000000001746229827404022216796875, "raw_values": [ 40493.3199999999997089616954326629638671875, 40446.91000000000349245965480804443359375, 40262.25 ], "test_run_times": [ 30.1400000000000005684341886080801486968994140625, 30.190000000000001278976924368180334568023681640625, 30.1400000000000005684341886080801486968994140625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O2 -std=gnu99 -lc" } } } } }, "8d755c7a78243c6a6a5f782764bb29e7b71df8b0": { "identifier": "pts\/stress-ng-1.10.0", "title": "Stress-NG", "app_version": "0.15.10", "arguments": "--pthread -1 --no-rand-seed", "description": "Test: Pthread", "scale": "Bogo Ops\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 103280.789999999993597157299518585205078125, "raw_values": [ 102395.85000000000582076609134674072265625, 103230.6799999999930150806903839111328125, 104215.830000000001746229827404022216796875 ], "test_run_times": [ 30.589999999999999857891452847979962825775146484375, 30.620000000000000994759830064140260219573974609375, 30.870000000000000994759830064140260219573974609375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O2 -std=gnu99 -lc" } } } } }, "4ccd4858f805fcfc1862141c4297bcebd4c3dbf4": { "identifier": "pts\/stress-ng-1.10.0", "title": "Stress-NG", "app_version": "0.15.10", "arguments": "--tree -1 --tree-method avl --no-rand-seed", "description": "Test: AVL Tree", "scale": "Bogo Ops\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 1665.569999999999936335370875895023345947265625, "raw_values": [ 1665.200000000000045474735088646411895751953125, 1665.140000000000100044417195022106170654296875, 1666.3800000000001091393642127513885498046875 ], "test_run_times": [ 30.1099999999999994315658113919198513031005859375, 30.120000000000000994759830064140260219573974609375, 30.14999999999999857891452847979962825775146484375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O2 -std=gnu99 -lc" } } } } }, "8a8df12638051c884cd8ad450397baa60400a710": { "identifier": "pts\/stress-ng-1.10.0", "title": "Stress-NG", "app_version": "0.15.10", "arguments": "--io-uring -1 --no-rand-seed", "description": "Test: IO_uring", "scale": "Bogo Ops\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 4790428.1600000001490116119384765625, "raw_values": [ 5532054.59999999962747097015380859375, 6010420.4800000004470348358154296875, 6706531.110000000335276126861572265625, 7564590.540000000037252902984619140625, 7594335.950000000186264514923095703125, 3749748.200000000186264514923095703125, 2693283.8599999998696148395538330078125, 2039894.65999999991618096828460693359375, 2485645.1099999998696148395538330078125, 2798051.33000000007450580596923828125, 5169442.320000000298023223876953125, 5141139.75999999977648258209228515625 ], "test_run_times": [ 35.280000000000001136868377216160297393798828125, 37.31000000000000227373675443232059478759765625, 40.50999999999999801048033987171947956085205078125, 36.5499999999999971578290569595992565155029296875, 36.10000000000000142108547152020037174224853515625, 35.4500000000000028421709430404007434844970703125, 35.2999999999999971578290569595992565155029296875, 34.22999999999999687361196265555918216705322265625, 34.21000000000000085265128291212022304534912109375, 32.8299999999999982946974341757595539093017578125, 35.50999999999999801048033987171947956085205078125, 37.63000000000000255795384873636066913604736328125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O2 -std=gnu99 -lc" } } } } }, "8729e45bdecf9d6959372526e26c9c36a396a89c": { "identifier": "pts\/stress-ng-1.10.0", "title": "Stress-NG", "app_version": "0.15.10", "arguments": "--sendfile -1 --no-rand-seed", "description": "Test: SENDFILE", "scale": "Bogo Ops\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 1517063.84000000008381903171539306640625, "raw_values": [ 821000.890000000013969838619232177734375, 809182.910000000032596290111541748046875, 913144.9799999999813735485076904296875, 1634335.86000000010244548320770263671875, 1760158.55000000004656612873077392578125, 1746574.4799999999813735485076904296875, 1747903.959999999962747097015380859375, 1749991.9799999999813735485076904296875, 1754847.4799999999813735485076904296875, 1752252.53000000002793967723846435546875, 1756206.34000000008381903171539306640625, 1759166.07000000006519258022308349609375 ], "test_run_times": [ 30.120000000000000994759830064140260219573974609375, 30.17999999999999971578290569595992565155029296875, 30.199999999999999289457264239899814128875732421875, 30.190000000000001278976924368180334568023681640625, 30.120000000000000994759830064140260219573974609375, 30.190000000000001278976924368180334568023681640625, 30.190000000000001278976924368180334568023681640625, 30.190000000000001278976924368180334568023681640625, 30.190000000000001278976924368180334568023681640625, 30.10000000000000142108547152020037174224853515625, 30.190000000000001278976924368180334568023681640625, 30.190000000000001278976924368180334568023681640625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O2 -std=gnu99 -lc" } } } } }, "fb77b8f01b3361d331ebbb6218ff547de93d9b8d": { "identifier": "pts\/stress-ng-1.10.0", "title": "Stress-NG", "app_version": "0.15.10", "arguments": "--cache -1 --no-rand-seed", "description": "Test: CPU Cache", "scale": "Bogo Ops\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 1397574.75, "raw_values": [ 1417132.8100000000558793544769287109375, 1397369.82000000006519258022308349609375, 1378221.61000000010244548320770263671875 ], "test_run_times": [ 32.4200000000000017053025658242404460906982421875, 32.49000000000000198951966012828052043914794921875, 32.42999999999999971578290569595992565155029296875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O2 -std=gnu99 -lc" } } } } }, "60ca1edd17b2961343c352b06a8860b1da05d6fe": { "identifier": "pts\/stress-ng-1.10.0", "title": "Stress-NG", "app_version": "0.15.10", "arguments": "--cpu -1 --cpu-method all --no-rand-seed", "description": "Test: CPU Stress", "scale": "Bogo Ops\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 212380.76000000000931322574615478515625, "raw_values": [ 212303.52999999999883584678173065185546875, 212019.7000000000116415321826934814453125, 212819.0599999999976716935634613037109375 ], "test_run_times": [ 30.0799999999999982946974341757595539093017578125, 30.07000000000000028421709430404007434844970703125, 30.07000000000000028421709430404007434844970703125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O2 -std=gnu99 -lc" } } } } }, "91b40c3ff2eda0d91e5707428ad96b40f53dfe3f": { "identifier": "pts\/stress-ng-1.10.0", "title": "Stress-NG", "app_version": "0.15.10", "arguments": "--sem -1 --no-rand-seed", "description": "Test: Semaphores", "scale": "Bogo Ops\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 223213939.86000001430511474609375, "raw_values": [ 227224772.6500000059604644775390625, 221619059.6599999964237213134765625, 220797987.2599999904632568359375 ], "test_run_times": [ 30.07000000000000028421709430404007434844970703125, 30.07000000000000028421709430404007434844970703125, 30.0799999999999982946974341757595539093017578125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O2 -std=gnu99 -lc" } } } } }, "0319f0545207344110c4d0719b58800e3947e920": { "identifier": "pts\/stress-ng-1.10.0", "title": "Stress-NG", "app_version": "0.15.10", "arguments": "--matrix -1 --no-rand-seed", "description": "Test: Matrix Math", "scale": "Bogo Ops\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 418033.130000000004656612873077392578125, "raw_values": [ 418102.4199999999837018549442291259765625, 418098.1599999999743886291980743408203125, 417898.7999999999883584678173065185546875 ], "test_run_times": [ 30.07000000000000028421709430404007434844970703125, 30.07000000000000028421709430404007434844970703125, 30.07000000000000028421709430404007434844970703125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O2 -std=gnu99 -lc" } } } } }, "490b28225f525b966dbc5394d1fdb1554b585f2d": { "identifier": "pts\/stress-ng-1.10.0", "title": "Stress-NG", "app_version": "0.15.10", "arguments": "--vecmath -1 --no-rand-seed", "description": "Test: Vector Math", "scale": "Bogo Ops\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 545725.7299999999813735485076904296875, "raw_values": [ 545611.30000000004656612873077392578125, 545745.51000000000931322574615478515625, 545820.369999999995343387126922607421875 ], "test_run_times": [ 30.1700000000000017053025658242404460906982421875, 30.1700000000000017053025658242404460906982421875, 30.160000000000000142108547152020037174224853515625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O2 -std=gnu99 -lc" } } } } }, "5b62a280b2dddb03506ddf2676b847e313305d03": { "identifier": "pts\/stress-ng-1.10.0", "title": "Stress-NG", "app_version": "0.15.10", "arguments": "--funccall -1 --no-rand-seed", "description": "Test: Function Call", "scale": "Bogo Ops\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 67313.389999999999417923390865325927734375, "raw_values": [ 67362.360000000000582076609134674072265625, 67258.89999999999417923390865325927734375, 67318.89999999999417923390865325927734375 ], "test_run_times": [ 30.1099999999999994315658113919198513031005859375, 30.1099999999999994315658113919198513031005859375, 30.1099999999999994315658113919198513031005859375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O2 -std=gnu99 -lc" } } } } }, "1cdf8d9416a06621c7de5bdd4e612fd3983f2f26": { "identifier": "pts\/stress-ng-1.10.0", "title": "Stress-NG", "app_version": "0.15.10", "arguments": "--fp -1 --no-rand-seed", "description": "Test: Floating Point", "scale": "Bogo Ops\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 29883.9300000000002910383045673370361328125, "raw_values": [ 29877.50999999999839928932487964630126953125, 29859.56000000000130967237055301666259765625, 29914.72000000000116415321826934814453125 ], "test_run_times": [ 30.0799999999999982946974341757595539093017578125, 30.0799999999999982946974341757595539093017578125, 30.17999999999999971578290569595992565155029296875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O2 -std=gnu99 -lc" } } } } }, "63f1854d2283007edf9260587e89d6c3a08de214": { "identifier": "pts\/stress-ng-1.10.0", "title": "Stress-NG", "app_version": "0.15.10", "arguments": "--matrix-3d -1 --no-rand-seed", "description": "Test: Matrix 3D Math", "scale": "Bogo Ops\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 16595.27999999999883584678173065185546875, "raw_values": [ 16765.13000000000101863406598567962646484375, 16734.27000000000043655745685100555419921875, 16286.440000000000509317032992839813232421875 ], "test_run_times": [ 30.21000000000000085265128291212022304534912109375, 30.309999999999998721023075631819665431976318359375, 30.309999999999998721023075631819665431976318359375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O2 -std=gnu99 -lc" } } } } }, "c0beab4d7abb82212716f563a16ce43f6ad7848b": { "identifier": "pts\/stress-ng-1.10.0", "title": "Stress-NG", "app_version": "0.15.10", "arguments": "--memcpy -1 --no-rand-seed", "description": "Test: Memory Copying", "scale": "Bogo Ops\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 32994.1800000000002910383045673370361328125, "raw_values": [ 32992.449999999997089616954326629638671875, 32993.5400000000008731149137020111083984375, 32996.5400000000008731149137020111083984375 ], "test_run_times": [ 30.0799999999999982946974341757595539093017578125, 30.0799999999999982946974341757595539093017578125, 30.17999999999999971578290569595992565155029296875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O2 -std=gnu99 -lc" } } } } }, "5ded8c24c304e7a5eb2097f5340dd3a2c9465b70": { "identifier": "pts\/stress-ng-1.10.0", "title": "Stress-NG", "app_version": "0.15.10", "arguments": "--vecshuf -1 --no-rand-seed", "description": "Test: Vector Shuffle", "scale": "Bogo Ops\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 63761.2900000000008731149137020111083984375, "raw_values": [ 63755.8499999999985448084771633148193359375, 63766.6500000000014551915228366851806640625, 63761.3700000000026193447411060333251953125 ], "test_run_times": [ 30.0799999999999982946974341757595539093017578125, 30.0799999999999982946974341757595539093017578125, 30.0799999999999982946974341757595539093017578125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O2 -std=gnu99 -lc" } } } } }, "28f656e31f7a19fc9b9c2fc265213b0f3f632e11": { "identifier": "pts\/stress-ng-1.10.0", "title": "Stress-NG", "app_version": "0.15.10", "arguments": "--sock -1 --no-rand-seed --sock-zerocopy", "description": "Test: Socket Activity", "scale": "Bogo Ops\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 2960.239999999999781721271574497222900390625, "raw_values": [ 8998.6800000000002910383045673370361328125, 17.120000000000000994759830064140260219573974609375, 7.160000000000000142108547152020037174224853515625, 8734.0699999999997089616954326629638671875, 7.089999999999999857891452847979962825775146484375, 24.010000000000001563194018672220408916473388671875, 7.12999999999999989341858963598497211933135986328125, 8736.059999999999490682967007160186767578125, 18.25, 7.36000000000000031974423109204508364200592041015625, 8830, 7.230000000000000426325641456060111522674560546875, 29.1400000000000005684341886080801486968994140625, 166.159999999999996589394868351519107818603515625, 8814.149999999999636202119290828704833984375 ], "test_run_times": [ 30.07000000000000028421709430404007434844970703125, 30.07000000000000028421709430404007434844970703125, 30.07000000000000028421709430404007434844970703125, 30.14999999999999857891452847979962825775146484375, 30.160000000000000142108547152020037174224853515625, 30.1700000000000017053025658242404460906982421875, 30.6700000000000017053025658242404460906982421875, 30.07000000000000028421709430404007434844970703125, 30.160000000000000142108547152020037174224853515625, 30.07000000000000028421709430404007434844970703125, 30.07000000000000028421709430404007434844970703125, 30.07000000000000028421709430404007434844970703125, 30.07000000000000028421709430404007434844970703125, 30.1700000000000017053025658242404460906982421875, 30.07000000000000028421709430404007434844970703125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O2 -std=gnu99 -lc" } } } } }, "34289def7da8929d8ee1b54d2913c3ff7a41214d": { "identifier": "pts\/stress-ng-1.10.0", "title": "Stress-NG", "app_version": "0.15.10", "arguments": "--vecwide -1 --no-rand-seed", "description": "Test: Wide Vector Math", "scale": "Bogo Ops\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 3485374.33000000007450580596923828125, "raw_values": [ 3486542.549999999813735485076904296875, 3483461.3500000000931322574615478515625, 3486119.08000000007450580596923828125 ], "test_run_times": [ 30.160000000000000142108547152020037174224853515625, 30.1700000000000017053025658242404460906982421875, 30.07000000000000028421709430404007434844970703125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O2 -std=gnu99 -lc" } } } } }, "ca646007042243dc8952e6d238ac6e97c2ffaf46": { "identifier": "pts\/stress-ng-1.10.0", "title": "Stress-NG", "app_version": "0.15.10", "arguments": "--switch -1 --no-rand-seed", "description": "Test: Context Switching", "scale": "Bogo Ops\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 15480601.66999999992549419403076171875, "raw_values": [ 16831651.2800000011920928955078125, 13700219.1600000001490116119384765625, 15828030.9800000004470348358154296875, 17939127.9800000004470348358154296875, 15714164.9499999992549419403076171875, 18146770.5599999986588954925537109375, 14522517.61999999918043613433837890625, 18314120.4499999992549419403076171875, 10408572.6600000001490116119384765625, 16167431.63000000081956386566162109375, 15936566.63000000081956386566162109375, 17312264.6299999989569187164306640625, 17553299.5199999995529651641845703125, 12354799.02999999932944774627685546875, 11479488.0199999995529651641845703125 ], "test_run_times": [ 30.07000000000000028421709430404007434844970703125, 30.07000000000000028421709430404007434844970703125, 30.0799999999999982946974341757595539093017578125, 30.07000000000000028421709430404007434844970703125, 30.07000000000000028421709430404007434844970703125, 30.07000000000000028421709430404007434844970703125, 30.0799999999999982946974341757595539093017578125, 30.0799999999999982946974341757595539093017578125, 30.0799999999999982946974341757595539093017578125, 30.1700000000000017053025658242404460906982421875, 30.07000000000000028421709430404007434844970703125, 30.1700000000000017053025658242404460906982421875, 30.0799999999999982946974341757595539093017578125, 30.07000000000000028421709430404007434844970703125, 30.1700000000000017053025658242404460906982421875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O2 -std=gnu99 -lc" } } } } }, "43a0f5d3f2af1f29c9761a9fb936bf19239f8511": { "identifier": "pts\/stress-ng-1.10.0", "title": "Stress-NG", "app_version": "0.15.10", "arguments": "--fma -1 --no-rand-seed", "description": "Test: Fused Multiply-Add", "scale": "Bogo Ops\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 76566577.12000000476837158203125, "raw_values": [ 76553329.98999999463558197021484375, 76545144.4699999988079071044921875, 76601256.9099999964237213134765625 ], "test_run_times": [ 30.1700000000000017053025658242404460906982421875, 30.07000000000000028421709430404007434844970703125, 30.07000000000000028421709430404007434844970703125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O2 -std=gnu99 -lc" } } } } }, "99346f945b079307a53b18e160c0670f60f006dd": { "identifier": "pts\/stress-ng-1.10.0", "title": "Stress-NG", "app_version": "0.15.10", "arguments": "--vecfp -1 --no-rand-seed", "description": "Test: Vector Floating Point", "scale": "Bogo Ops\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 257925.609999999986030161380767822265625, "raw_values": [ 258182.4400000000023283064365386962890625, 257935.67000000001280568540096282958984375, 257658.70999999999185092747211456298828125 ], "test_run_times": [ 30.089999999999999857891452847979962825775146484375, 30.089999999999999857891452847979962825775146484375, 30.089999999999999857891452847979962825775146484375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O2 -std=gnu99 -lc" } } } } }, "9d257e9fd36c503f7355714bb2c6da31e62c85eb": { "identifier": "pts\/stress-ng-1.10.0", "title": "Stress-NG", "app_version": "0.15.10", "arguments": "--str -1 --no-rand-seed", "description": "Test: Glibc C String Functions", "scale": "Bogo Ops\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 81208060.17000000178813934326171875, "raw_values": [ 80642674.7199999988079071044921875, 80751031.35999999940395355224609375, 82230474.439999997615814208984375 ], "test_run_times": [ 30.07000000000000028421709430404007434844970703125, 30.1700000000000017053025658242404460906982421875, 30.1700000000000017053025658242404460906982421875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O2 -std=gnu99 -lc" } } } } }, "caae06967b26be05c30a90ad11eca3643e2d40ce": { "identifier": "pts\/stress-ng-1.10.0", "title": "Stress-NG", "app_version": "0.15.10", "arguments": "--qsort -1 --no-rand-seed", "description": "Test: Glibc Qsort Data Sorting", "scale": "Bogo Ops\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 2108.3000000000001818989403545856475830078125, "raw_values": [ 2109.2899999999999636202119290828704833984375, 2107.53000000000020008883439004421234130859375, 2108.079999999999927240423858165740966796875 ], "test_run_times": [ 30.1700000000000017053025658242404460906982421875, 30.1700000000000017053025658242404460906982421875, 30.1700000000000017053025658242404460906982421875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O2 -std=gnu99 -lc" } } } } }, "15b5a4ec0bdac1d7a7e0ea0dbfe663fd404ebbac": { "identifier": "pts\/stress-ng-1.10.0", "title": "Stress-NG", "app_version": "0.15.10", "arguments": "--msg -1 --no-rand-seed", "description": "Test: System V Message Passing", "scale": "Bogo Ops\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 12085427.22000000067055225372314453125, "raw_values": [ 12095862.5, 12082839.960000000894069671630859375, 12077579.210000000894069671630859375 ], "test_run_times": [ 30.07000000000000028421709430404007434844970703125, 30.07000000000000028421709430404007434844970703125, 30.07000000000000028421709430404007434844970703125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O2 -std=gnu99 -lc" } } } } }, "ebcd34a5673d852b1a1ee7a107e1d3931079d4b6": { "identifier": "pts\/minife-1.0.0", "title": "miniFE", "app_version": "2.2", "arguments": "-\u2010nx 264 --ny 256 -\u2010nz 256", "description": "Problem Size: Small", "scale": "CG Mflops", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 54408.199999999997089616954326629638671875, "raw_values": [ 55241.699999999997089616954326629638671875, 54555.9000000000014551915228366851806640625, 54109.4000000000014551915228366851806640625, 54069.199999999997089616954326629638671875, 54064.699999999997089616954326629638671875 ], "test_run_times": [ 8.96000000000000085265128291212022304534912109375, 9, 9.0299999999999993605115378159098327159881591796875, 9.0600000000000004973799150320701301097869873046875, 9.0600000000000004973799150320701301097869873046875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -fopenmp -lmpi_cxx -lmpi" } } } } }, "69526d521378438e5f655dcb6fb765bcc0a1f739": { "identifier": "pts\/amg-1.1.0", "title": "Algebraic Multi-Grid Benchmark", "app_version": "1.2", "scale": "Figure Of Merit", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 2414283000, "raw_values": [ 2416217000, 2421183000, 2405449000 ], "test_run_times": [ 25.719999999999998863131622783839702606201171875, 25.57000000000000028421709430404007434844970703125, 25.82000000000000028421709430404007434844970703125 ], "details": { "compiler-options": { "compiler-type": "CC", "compiler": "gcc", "compiler-options": "-lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -lmpi" } } } } }, "469f7a39811acbe18c322af4e11111fa4331476d": { "identifier": "pts\/openvino-1.2.0", "title": "OpenVINO", "app_version": "2022.3", "arguments": "-m models\/intel\/face-detection-0206\/FP16\/face-detection-0206.xml -d CPU", "description": "Model: Face Detection FP16 - Device: CPU", "scale": "FPS", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 47.61999999999999744204615126363933086395263671875, "raw_values": [ 47.6099999999999994315658113919198513031005859375, 47.60000000000000142108547152020037174224853515625, 47.659999999999996589394868351519107818603515625 ], "test_run_times": [ 65.18999999999999772626324556767940521240234375, 65.06999999999999317878973670303821563720703125, 64.9899999999999948840923025272786617279052734375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF" } } } } }, "158f3b6ded940757a05609147b91174a37503cfc": { "identifier": "pts\/openvino-1.2.0", "title": "OpenVINO", "app_version": "2022.3", "arguments": "-m models\/intel\/person-detection-0106\/FP16\/person-detection-0106.xml -d CPU", "description": "Model: Person Detection FP16 - Device: CPU", "scale": "FPS", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 27.1099999999999994315658113919198513031005859375, "raw_values": [ 27.300000000000000710542735760100185871124267578125, 26.940000000000001278976924368180334568023681640625, 27.089999999999999857891452847979962825775146484375 ], "test_run_times": [ 65.5499999999999971578290569595992565155029296875, 66.3599999999999994315658113919198513031005859375, 66.0100000000000051159076974727213382720947265625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF" } } } } }, "71b92e334214ab0f08bce3e4e5a0a6975e7a0f76": { "identifier": "pts\/openvino-1.2.0", "title": "OpenVINO", "app_version": "2022.3", "arguments": "-m models\/intel\/person-detection-0106\/FP32\/person-detection-0106.xml -d CPU", "description": "Model: Person Detection FP32 - Device: CPU", "scale": "FPS", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 26.8900000000000005684341886080801486968994140625, "raw_values": [ 26.690000000000001278976924368180334568023681640625, 26.949999999999999289457264239899814128875732421875, 27.03999999999999914734871708787977695465087890625 ], "test_run_times": [ 66.8900000000000005684341886080801486968994140625, 66.159999999999996589394868351519107818603515625, 65.9599999999999937472239253111183643341064453125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF" } } } } }, "f2105e241dc81ef7eab63aeedce931695222e595": { "identifier": "pts\/openvino-1.2.0", "title": "OpenVINO", "app_version": "2022.3", "arguments": "-m models\/intel\/vehicle-detection-0202\/FP16\/vehicle-detection-0202.xml -d CPU", "description": "Model: Vehicle Detection FP16 - Device: CPU", "scale": "FPS", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 3860.63999999999987267074175179004669189453125, "raw_values": [ 3860.61000000000012732925824820995330810546875, 3861.170000000000072759576141834259033203125, 3860.13999999999987267074175179004669189453125 ], "test_run_times": [ 60.7000000000000028421709430404007434844970703125, 60.71000000000000085265128291212022304534912109375, 60.7000000000000028421709430404007434844970703125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF" } } } } }, "8dddb6db49604b765f0f59b7ac941cbca1a9bcb7": { "identifier": "pts\/openvino-1.2.0", "title": "OpenVINO", "app_version": "2022.3", "arguments": "-m models\/intel\/face-detection-0206\/FP16-INT8\/face-detection-0206.xml -d CPU", "description": "Model: Face Detection FP16-INT8 - Device: CPU", "scale": "FPS", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 90.3599999999999994315658113919198513031005859375, "raw_values": [ 90.3799999999999954525264911353588104248046875, 90.349999999999994315658113919198513031005859375, 90.3599999999999994315658113919198513031005859375 ], "test_run_times": [ 64.6400000000000005684341886080801486968994140625, 64.6299999999999954525264911353588104248046875, 64.6200000000000045474735088646411895751953125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF" } } } } }, "c8cd17f667e19318b1a57108c6c454e5aa2afa54": { "identifier": "pts\/openvino-1.2.0", "title": "OpenVINO", "app_version": "2022.3", "arguments": "-m models\/intel\/vehicle-detection-0202\/FP16-INT8\/vehicle-detection-0202.xml -d CPU", "description": "Model: Vehicle Detection FP16-INT8 - Device: CPU", "scale": "FPS", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 5672.0600000000004001776687800884246826171875, "raw_values": [ 5671.40999999999985448084771633148193359375, 5672.739999999999781721271574497222900390625, 5672.0399999999999636202119290828704833984375 ], "test_run_times": [ 60.840000000000003410605131648480892181396484375, 60.8299999999999982946974341757595539093017578125, 60.8299999999999982946974341757595539093017578125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF" } } } } }, "a660654194d42106c8451ca1556734f484297ee6": { "identifier": "pts\/openvino-1.2.0", "title": "OpenVINO", "app_version": "2022.3", "arguments": "-m models\/intel\/weld-porosity-detection-0001\/FP16\/weld-porosity-detection-0001.xml -d CPU", "description": "Model: Weld Porosity Detection FP16 - Device: CPU", "scale": "FPS", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 4663.9700000000002546585164964199066162109375, "raw_values": [ 4663.9700000000002546585164964199066162109375, 4663.6300000000001091393642127513885498046875, 4664.3000000000001818989403545856475830078125 ], "test_run_times": [ 60.43999999999999772626324556767940521240234375, 60.43999999999999772626324556767940521240234375, 60.4500000000000028421709430404007434844970703125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF" } } } } }, "42827eddeb97352c3142665b56da35f9c89680a1": { "identifier": "pts\/openvino-1.2.0", "title": "OpenVINO", "app_version": "2022.3", "arguments": "-m models\/intel\/machine-translation-nar-en-de-0002\/FP16\/machine-translation-nar-en-de-0002.xml -d CPU", "description": "Model: Machine Translation EN To DE FP16 - Device: CPU", "scale": "FPS", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 535.76999999999998181010596454143524169921875, "raw_values": [ 537.049999999999954525264911353588104248046875, 534.5700000000000500222085975110530853271484375, 535.69000000000005456968210637569427490234375 ], "test_run_times": [ 61.8299999999999982946974341757595539093017578125, 61.7999999999999971578290569595992565155029296875, 61.75999999999999801048033987171947956085205078125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF" } } } } }, "74d32952360b251fd74e5f1e8b147eb5e5a2b1c3": { "identifier": "pts\/openvino-1.2.0", "title": "OpenVINO", "app_version": "2022.3", "arguments": "-m models\/intel\/weld-porosity-detection-0001\/FP16-INT8\/weld-porosity-detection-0001.xml -d CPU", "description": "Model: Weld Porosity Detection FP16-INT8 - Device: CPU", "scale": "FPS", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 8846.670000000000072759576141834259033203125, "raw_values": [ 8846.70000000000072759576141834259033203125, 8846.45000000000072759576141834259033203125, 8846.860000000000582076609134674072265625 ], "test_run_times": [ 60.719999999999998863131622783839702606201171875, 60.7000000000000028421709430404007434844970703125, 60.71000000000000085265128291212022304534912109375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF" } } } } }, "685fdd06b4fc46e92f964685aa409454c46b0d47": { "identifier": "pts\/openvino-1.2.0", "title": "OpenVINO", "app_version": "2022.3", "arguments": "-m models\/intel\/person-vehicle-bike-detection-2004\/FP16\/person-vehicle-bike-detection-2004.xml -d CPU", "description": "Model: Person Vehicle Bike Detection FP16 - Device: CPU", "scale": "FPS", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 5732.75, "raw_values": [ 5734.6899999999995998223312199115753173828125, 5726.9399999999995998223312199115753173828125, 5736.6099999999996725819073617458343505859375 ], "test_run_times": [ 62, 61.99000000000000198951966012828052043914794921875, 61.99000000000000198951966012828052043914794921875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF" } } } } }, "863ff6d27cc66f6a911e7d3cef43a899a40972dc": { "identifier": "pts\/openvino-1.2.0", "title": "OpenVINO", "app_version": "2022.3", "arguments": "-m models\/intel\/age-gender-recognition-retail-0013\/FP16\/age-gender-recognition-retail-0013.xml -d CPU", "description": "Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU", "scale": "FPS", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 94505.110000000000582076609134674072265625, "raw_values": [ 94395.1900000000023283064365386962890625, 94588.889999999999417923390865325927734375, 94531.259999999994761310517787933349609375 ], "test_run_times": [ 60.840000000000003410605131648480892181396484375, 60.85000000000000142108547152020037174224853515625, 60.840000000000003410605131648480892181396484375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF" } } } } }, "cc4f7b060987d314967e70e907fe73bfa479885a": { "identifier": "pts\/openvino-1.2.0", "title": "OpenVINO", "app_version": "2022.3", "arguments": "-m models\/intel\/age-gender-recognition-retail-0013\/FP16-INT8\/age-gender-recognition-retail-0013.xml -d CPU", "description": "Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU", "scale": "FPS", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 64461.9300000000002910383045673370361328125, "raw_values": [ 64567.9000000000014551915228366851806640625, 64469.550000000002910383045673370361328125, 64348.33999999999650754034519195556640625 ], "test_run_times": [ 60.75, 60.75, 60.75 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF" } } } } }, "7a4c40872db747de6628900bdd6de28bf98dbc3d": { "identifier": "pts\/embree-1.5.0", "title": "Embree", "app_version": "4.1", "arguments": "pathtracer_ispc -c crown\/crown.ecs", "description": "Binary: Pathtracer ISPC - Model: Crown", "scale": "Frames Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 117.826099999999996725819073617458343505859375, "raw_values": [ 117.9722000000000008412825991399586200714111328125, 117.8650999999999982037479639984667301177978515625, 118.0871000000000066165739553980529308319091796875, 117.705299999999994042809703387320041656494140625, 117.439300000000002910383045673370361328125, 117.889499999999998181010596454143524169921875, 117.8242000000000047066350816749036312103271484375 ], "min_result": [ "114.92" ], "max_result": [ "122.62" ], "test_run_times": [ 5.8300000000000000710542735760100185871124267578125, 5.8499999999999996447286321199499070644378662109375, 5.86000000000000031974423109204508364200592041015625, 5.88999999999999968025576890795491635799407958984375, 5.95000000000000017763568394002504646778106689453125, 5.86000000000000031974423109204508364200592041015625, 5.8499999999999996447286321199499070644378662109375 ] } } }, "9307cbab69d1353d248cf9775eedd5d20eef793e": { "identifier": "pts\/embree-1.5.0", "title": "Embree", "app_version": "4.1", "arguments": "pathtracer_ispc -c asian_dragon\/asian_dragon.ecs", "description": "Binary: Pathtracer ISPC - Model: Asian Dragon", "scale": "Frames Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 143.995399999999989404386724345386028289794921875, "raw_values": [ 143.611400000000003274180926382541656494140625, 143.875300000000009958966984413564205169677734375, 144.236099999999993315213941968977451324462890625, 144.141300000000001091393642127513885498046875, 143.732699999999994133759173564612865447998046875, 144.374899999999996680344338528811931610107421875, 143.995800000000002683009370230138301849365234375 ], "min_result": [ "141.47" ], "max_result": [ "149.12" ], "test_run_times": [ 5, 5.03000000000000024868995751603506505489349365234375, 4.980000000000000426325641456060111522674560546875, 5.0099999999999997868371792719699442386627197265625, 5.019999999999999573674358543939888477325439453125, 4.980000000000000426325641456060111522674560546875, 5.03000000000000024868995751603506505489349365234375 ] } } }, "72548d1d3fe968838db72e9de4ac76ea43462462": { "identifier": "pts\/embree-1.5.0", "title": "Embree", "app_version": "4.1", "arguments": "pathtracer_ispc -c asian_dragon_obj\/asian_dragon.ecs", "description": "Binary: Pathtracer ISPC - Model: Asian Dragon Obj", "scale": "Frames Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 123.513499999999993406163412146270275115966796875, "raw_values": [ 123.54869999999999663486960344016551971435546875, 123.5212999999999965439201332628726959228515625, 123.6158999999999963392838253639638423919677734375, 123.36799999999999499777914024889469146728515625 ], "min_result": [ "121.61" ], "max_result": [ "126.87" ], "test_run_times": [ 14.17999999999999971578290569595992565155029296875, 14.3499999999999996447286321199499070644378662109375, 14.1899999999999995026200849679298698902130126953125, 14.2200000000000006394884621840901672840118408203125 ] } } }, "c81ff557621775939d4b0e2a67edc805e2ef5eae": { "identifier": "pts\/hpcg-1.3.0", "title": "High Performance Conjugate Gradient", "app_version": "3.1", "arguments": "--nx=104 --ny=104 --nz=104 --rt=60", "description": "X Y Z: 104 104 104 - RT: 60", "scale": "GFLOP\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 26.824999999999999289457264239899814128875732421875, "raw_values": [ 31.849299999999999499777914024889469146728515625, 23.6143000000000000682121026329696178436279296875, 28.0758000000000009777068044058978557586669921875, 25.87910000000000110276232589967548847198486328125, 23.951499999999999346300683100707828998565673828125, 27.489399999999999835154085303656756877899169921875, 26.315100000000001045918907038867473602294921875, 27.8924999999999982946974341757595539093017578125, 26.357600000000001472244548494927585124969482421875 ], "test_run_times": [ 237.06000000000000227373675443232059478759765625, 293.19999999999998863131622783839702606201171875, 275.92000000000001591615728102624416351318359375, 271.1200000000000045474735088646411895751953125, 277.69999999999998863131622783839702606201171875, 267.51999999999998181010596454143524169921875, 269.16000000000002501110429875552654266357421875, 274.509999999999990905052982270717620849609375, 278.19999999999998863131622783839702606201171875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -ffast-math -ftree-vectorize -lmpi_cxx -lmpi" } } } } }, "66dbcf8c68d162111d56f35538e520ec380dd4c8": { "identifier": "pts\/hpcg-1.3.0", "title": "High Performance Conjugate Gradient", "app_version": "3.1", "arguments": "--nx=144 --ny=144 --nz=144 --rt=60", "description": "X Y Z: 144 144 144 - RT: 60", "scale": "GFLOP\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 24.6143000000000000682121026329696178436279296875, "raw_values": [ 24.81680000000000063664629124104976654052734375, 27.42269999999999896544977673329412937164306640625, 24.079699999999998993871486163698136806488037109375, 25.977900000000001767830326571129262447357177734375, 24.45400000000000062527760746888816356658935546875, 23.26180000000000092086338554508984088897705078125, 23.4063000000000016598278307355940341949462890625, 23.9902000000000015234036254696547985076904296875, 24.118999999999999772626324556767940521240234375 ], "test_run_times": [ 743.220000000000027284841053187847137451171875, 721.029999999999972715158946812152862548828125, 763.6100000000000136424205265939235687255859375, 764.01999999999998181010596454143524169921875, 748.3500000000000227373675443232059478759765625, 782.3300000000000409272615797817707061767578125, 786.55999999999994543031789362430572509765625, 782.6499999999999772626324556767940521240234375, 778.3700000000000045474735088646411895751953125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -ffast-math -ftree-vectorize -lmpi_cxx -lmpi" } } } } }, "fc4013509c5671815bdbd9e7a5996859582d1e5c": { "identifier": "pts\/hpcg-1.3.0", "title": "High Performance Conjugate Gradient", "app_version": "3.1", "arguments": "--nx=160 --ny=160 --nz=160 --rt=60", "description": "X Y Z: 160 160 160 - RT: 60", "scale": "GFLOP\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 23.8368999999999999772626324556767940521240234375, "raw_values": [ 24.477000000000000312638803734444081783294677734375, 23.311699999999998311750459834001958370208740234375, 23.72200000000000130739863379858434200286865234375 ], "test_run_times": [ 1041.94000000000005456968210637569427490234375, 1074.470000000000027284841053187847137451171875, 1078.7100000000000363797880709171295166015625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -ffast-math -ftree-vectorize -lmpi_cxx -lmpi" } } } } }, "ef8984d402f7d31f0dbb1ad84dfc29046a3fcafd": { "identifier": "pts\/hpcg-1.3.0", "title": "High Performance Conjugate Gradient", "app_version": "3.1", "arguments": "--nx=192 --ny=192 --nz=192 --rt=60", "description": "X Y Z: 192 192 192 - RT: 60", "scale": "GFLOP\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 22.833200000000001494981916039250791072845458984375, "raw_values": [ 23.04939999999999855617716093547642230987548828125, 22.486399999999999721467247582040727138519287109375, 22.963699999999999334931999328546226024627685546875 ], "test_run_times": [ 1884.089999999999918145476840436458587646484375, 1943.240000000000009094947017729282379150390625, 1932.329999999999927240423858165740966796875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -ffast-math -ftree-vectorize -lmpi_cxx -lmpi" } } } } }, "5a0481c4ba98cd1215544e2f3756ba14712bf385": { "identifier": "pts\/heffte-1.0.0", "title": "HeFFTe - Highly Efficient FFT for Exascale", "app_version": "2.3", "arguments": "c2c fftw float 128 128 128", "description": "Test: c2c - Backend: FFTW - Precision: float - X Y Z: 128", "scale": "GFLOP\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 126.0280000000000057980287238024175167083740234375, "raw_values": [ 125.8790000000000048885340220294892787933349609375, 123.1700000000000017053025658242404460906982421875, 128.691000000000002501110429875552654266357421875, 125.409999999999996589394868351519107818603515625, 128.768000000000000682121026329696178436279296875, 124.1629999999999967030817060731351375579833984375, 127.93999999999999772626324556767940521240234375, 128.33400000000000318323145620524883270263671875, 124.1590000000000060254023992456495761871337890625, 128.05500000000000682121026329696178436279296875, 129.320999999999997953636921010911464691162109375, 120.33400000000000318323145620524883270263671875, 124.1460000000000007958078640513122081756591796875 ], "test_run_times": [ 0.8000000000000000444089209850062616169452667236328125, 0.89000000000000001332267629550187848508358001708984375, 0.85999999999999998667732370449812151491641998291015625, 0.86999999999999999555910790149937383830547332763671875, 0.84999999999999997779553950749686919152736663818359375, 0.82999999999999996003197111349436454474925994873046875, 0.81999999999999995115018691649311222136020660400390625, 0.84999999999999997779553950749686919152736663818359375, 0.92000000000000003996802888650563545525074005126953125, 0.85999999999999998667732370449812151491641998291015625, 0.82999999999999996003197111349436454474925994873046875, 0.81999999999999995115018691649311222136020660400390625, 0.91000000000000003108624468950438313186168670654296875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3" } } } } }, "a31bcb2334ced98100f05bbdc74eb9211eaabf05": { "identifier": "pts\/heffte-1.0.0", "title": "HeFFTe - Highly Efficient FFT for Exascale", "app_version": "2.3", "arguments": "c2c fftw float 256 256 256", "description": "Test: c2c - Backend: FFTW - Precision: float - X Y Z: 256", "scale": "GFLOP\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 178.441000000000002501110429875552654266357421875, "raw_values": [ 181.513000000000005229594535194337368011474609375, 174.17599999999998772182152606546878814697265625, 180.211000000000012732925824820995330810546875, 180.179000000000002046363078989088535308837890625, 180.32499999999998863131622783839702606201171875, 184.788999999999987267074175179004669189453125, 177.282999999999987039700499735772609710693359375, 172.27699999999998681232682429254055023193359375, 177.365000000000009094947017729282379150390625, 178.55000000000001136868377216160297393798828125, 176.181000000000011596057447604835033416748046875 ], "test_run_times": [ 1.8400000000000000799360577730112709105014801025390625, 1.899999999999999911182158029987476766109466552734375, 1.899999999999999911182158029987476766109466552734375, 1.8600000000000000976996261670137755572795867919921875, 1.899999999999999911182158029987476766109466552734375, 1.850000000000000088817841970012523233890533447265625, 1.939999999999999946709294817992486059665679931640625, 1.899999999999999911182158029987476766109466552734375, 1.899999999999999911182158029987476766109466552734375, 1.899999999999999911182158029987476766109466552734375, 1.8600000000000000976996261670137755572795867919921875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3" } } } } }, "6361e47bc31f75eb0fb1c57f5b092e47717a16c8": { "identifier": "pts\/heffte-1.0.0", "title": "HeFFTe - Highly Efficient FFT for Exascale", "app_version": "2.3", "arguments": "c2c fftw float 512 512 512", "description": "Test: c2c - Backend: FFTW - Precision: float - X Y Z: 512", "scale": "GFLOP\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 153.84399999999999408828443847596645355224609375, "raw_values": [ 154.7359999999999899955582804977893829345703125, 154.768000000000000682121026329696178436279296875, 151.288999999999987267074175179004669189453125, 154.5819999999999936335370875895023345947265625 ], "test_run_times": [ 13.230000000000000426325641456060111522674560546875, 13.1699999999999999289457264239899814128875732421875, 13.4700000000000006394884621840901672840118408203125, 13.2200000000000006394884621840901672840118408203125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3" } } } } }, "9d1ebf5b6070bc702088ad42cc6709a201258169": { "identifier": "pts\/heffte-1.0.0", "title": "HeFFTe - Highly Efficient FFT for Exascale", "app_version": "2.3", "arguments": "r2c fftw float 128 128 128", "description": "Test: r2c - Backend: FFTW - Precision: float - X Y Z: 128", "scale": "GFLOP\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 185.3890000000000100044417195022106170654296875, "raw_values": [ 185.104999999999989768184605054557323455810546875, 185.711000000000012732925824820995330810546875, 185.885999999999995679900166578590869903564453125, 185.270999999999986584953148849308490753173828125, 188.034999999999996589394868351519107818603515625, 185.796999999999997044142219237983226776123046875, 182.48300000000000409272615797817707061767578125, 184.902999999999991587174008600413799285888671875, 183.3700000000000045474735088646411895751953125, 187.92099999999999226929503493010997772216796875, 184.090000000000003410605131648480892181396484375, 185.63700000000000045474735088646411895751953125, 185.85300000000000864019966684281826019287109375 ], "test_run_times": [ 0.770000000000000017763568394002504646778106689453125, 0.75, 0.85999999999999998667732370449812151491641998291015625, 0.7800000000000000266453525910037569701671600341796875, 0.75, 0.85999999999999998667732370449812151491641998291015625, 0.81999999999999995115018691649311222136020660400390625, 0.91000000000000003108624468950438313186168670654296875, 0.7399999999999999911182158029987476766109466552734375, 0.7600000000000000088817841970012523233890533447265625, 0.7399999999999999911182158029987476766109466552734375, 0.8000000000000000444089209850062616169452667236328125, 0.7800000000000000266453525910037569701671600341796875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3" } } } } }, "e9585320ccdb93fcca756e2c7129e983a5e692ae": { "identifier": "pts\/heffte-1.0.0", "title": "HeFFTe - Highly Efficient FFT for Exascale", "app_version": "2.3", "arguments": "r2c fftw float 256 256 256", "description": "Test: r2c - Backend: FFTW - Precision: float - X Y Z: 256", "scale": "GFLOP\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 315.8129999999999881765688769519329071044921875, "raw_values": [ 310.98700000000002319211489520967006683349609375, 319.8690000000000281943357549607753753662109375, 322.55000000000001136868377216160297393798828125, 313.99700000000001409716787748038768768310546875, 314.78100000000000591171556152403354644775390625, 317.8500000000000227373675443232059478759765625, 314.55500000000000682121026329696178436279296875, 316.08499999999997953636921010911464691162109375, 319.66000000000002501110429875552654266357421875, 313.38700000000000045474735088646411895751953125, 312.64600000000001500666257925331592559814453125, 313.39299999999997226041159592568874359130859375 ], "test_run_times": [ 1.4099999999999999200639422269887290894985198974609375, 1.3200000000000000621724893790087662637233734130859375, 1.3200000000000000621724893790087662637233734130859375, 1.4699999999999999733546474089962430298328399658203125, 1.4499999999999999555910790149937383830547332763671875, 1.37000000000000010658141036401502788066864013671875, 1.3899999999999999023003738329862244427204132080078125, 1.479999999999999982236431605997495353221893310546875, 1.37000000000000010658141036401502788066864013671875, 1.3200000000000000621724893790087662637233734130859375, 1.3300000000000000710542735760100185871124267578125, 1.350000000000000088817841970012523233890533447265625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3" } } } } }, "4259b18e852e59ad73e7494056db2b490d714cb2": { "identifier": "pts\/heffte-1.0.0", "title": "HeFFTe - Highly Efficient FFT for Exascale", "app_version": "2.3", "arguments": "r2c fftw float 512 512 512", "description": "Test: r2c - Backend: FFTW - Precision: float - X Y Z: 512", "scale": "GFLOP\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 332.74200000000001864464138634502887725830078125, "raw_values": [ 334.2930000000000063664629124104976654052734375, 334.51100000000002410160959698259830474853515625, 329.874000000000023646862246096134185791015625, 340.29099999999999681676854379475116729736328125, 328.03100000000000591171556152403354644775390625, 329.44900000000001227817847393453121185302734375 ], "test_run_times": [ 6.6699999999999999289457264239899814128875732421875, 6.589999999999999857891452847979962825775146484375, 6.6500000000000003552713678800500929355621337890625, 6.53000000000000024868995751603506505489349365234375, 6.70000000000000017763568394002504646778106689453125, 6.70000000000000017763568394002504646778106689453125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3" } } } } }, "cf02cf1de38c411d4fe520ce76d99643d6fd3473": { "identifier": "pts\/heffte-1.0.0", "title": "HeFFTe - Highly Efficient FFT for Exascale", "app_version": "2.3", "arguments": "c2c fftw double 128 128 128", "description": "Test: c2c - Backend: FFTW - Precision: double - X Y Z: 128", "scale": "GFLOP\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 79.923799999999999954525264911353588104248046875, "raw_values": [ 79.4433999999999969077180139720439910888671875, 80.1581000000000045702108764089643955230712890625, 79.8443999999999931560523691587150096893310546875, 80.8134000000000014551915228366851806640625, 80.1843999999999965666575008071959018707275390625, 78.914500000000003865352482534945011138916015625, 79.6844999999999998863131622783839702606201171875, 80.7968000000000046156856114976108074188232421875, 77.3876000000000061618266045115888118743896484375, 82.0490999999999957026375341229140758514404296875, 79.90399999999999636202119290828704833984375, 80.20220000000000482032191939651966094970703125, 79.626499999999992951416061259806156158447265625 ], "test_run_times": [ 0.979999999999999982236431605997495353221893310546875, 0.9699999999999999733546474089962430298328399658203125, 1.0300000000000000266453525910037569701671600341796875, 1.0100000000000000088817841970012523233890533447265625, 0.939999999999999946709294817992486059665679931640625, 0.9699999999999999733546474089962430298328399658203125, 0.9699999999999999733546474089962430298328399658203125, 1.0300000000000000266453525910037569701671600341796875, 0.9899999999999999911182158029987476766109466552734375, 0.9899999999999999911182158029987476766109466552734375, 0.92000000000000003996802888650563545525074005126953125, 0.939999999999999946709294817992486059665679931640625, 0.939999999999999946709294817992486059665679931640625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3" } } } } }, "1438c9a0ba9d1b9b1acf877d0f3d2f1fb36aed7d": { "identifier": "pts\/heffte-1.0.0", "title": "HeFFTe - Highly Efficient FFT for Exascale", "app_version": "2.3", "arguments": "c2c fftw double 256 256 256", "description": "Test: c2c - Backend: FFTW - Precision: double - X Y Z: 256", "scale": "GFLOP\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 87.03919999999999390638549812138080596923828125, "raw_values": [ 87.9763999999999981582732289098203182220458984375, 87.090699999999998226485331542789936065673828125, 85.295400000000000773070496506989002227783203125, 85.7754000000000047521098167635500431060791015625, 89.403199999999998226485331542789936065673828125, 86.1221000000000032059688237495720386505126953125, 88.9361999999999994770405464805662631988525390625, 85.1090999999999979763742885552346706390380859375, 87.6443000000000012050804798491299152374267578125 ], "test_run_times": [ 3.089999999999999857891452847979962825775146484375, 3.20000000000000017763568394002504646778106689453125, 3.220000000000000195399252334027551114559173583984375, 3.20999999999999996447286321199499070644378662109375, 3.12999999999999989341858963598497211933135986328125, 3.12000000000000010658141036401502788066864013671875, 3.12999999999999989341858963598497211933135986328125, 3.180000000000000159872115546022541821002960205078125, 3.109999999999999875655021241982467472553253173828125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3" } } } } }, "79b1b19d0f13c06a42efb643a44795fe78811902": { "identifier": "pts\/heffte-1.0.0", "title": "HeFFTe - Highly Efficient FFT for Exascale", "app_version": "2.3", "arguments": "c2c fftw double 512 512 512", "description": "Test: c2c - Backend: FFTW - Precision: double - X Y Z: 512", "scale": "GFLOP\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 67.85030000000000427462509833276271820068359375, "raw_values": [ 67.94360000000000354702933691442012786865234375, 67.6573000000000064346750150434672832489013671875, 67.9501000000000061618266045115888118743896484375 ], "test_run_times": [ 28.96000000000000085265128291212022304534912109375, 29.10000000000000142108547152020037174224853515625, 29.03999999999999914734871708787977695465087890625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3" } } } } }, "93a01690a12b71acab15af0870568aec15ad4340": { "identifier": "pts\/heffte-1.0.0", "title": "HeFFTe - Highly Efficient FFT for Exascale", "app_version": "2.3", "arguments": "r2c fftw double 128 128 128", "description": "Test: r2c - Backend: FFTW - Precision: double - X Y Z: 128", "scale": "GFLOP\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 129.875, "raw_values": [ 128.027999999999991587174008600413799285888671875, 129.967999999999989313437254168093204498291015625, 129.585000000000007958078640513122081756591796875, 127.1940000000000026147972675971686840057373046875, 132.681999999999987949195201508700847625732421875, 131.86299999999999954525264911353588104248046875, 130.0049999999999954525264911353588104248046875, 129.9379999999999881765688769519329071044921875, 133.134999999999990905052982270717620849609375, 129.83699999999998908606357872486114501953125, 130.5149999999999863575794734060764312744140625, 129.102000000000003865352482534945011138916015625, 126.519000000000005456968210637569427490234375 ], "test_run_times": [ 0.85999999999999998667732370449812151491641998291015625, 0.939999999999999946709294817992486059665679931640625, 0.88000000000000000444089209850062616169452667236328125, 0.88000000000000000444089209850062616169452667236328125, 0.82999999999999996003197111349436454474925994873046875, 0.90000000000000002220446049250313080847263336181640625, 0.83999999999999996891375531049561686813831329345703125, 0.90000000000000002220446049250313080847263336181640625, 0.8000000000000000444089209850062616169452667236328125, 0.84999999999999997779553950749686919152736663818359375, 0.89000000000000001332267629550187848508358001708984375, 0.84999999999999997779553950749686919152736663818359375, 0.88000000000000000444089209850062616169452667236328125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3" } } } } }, "5f99dd507ff9301649fd200a96b5b9e47afed650": { "identifier": "pts\/heffte-1.0.0", "title": "HeFFTe - Highly Efficient FFT for Exascale", "app_version": "2.3", "arguments": "r2c fftw double 256 256 256", "description": "Test: r2c - Backend: FFTW - Precision: double - X Y Z: 256", "scale": "GFLOP\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 190.126000000000004774847184307873249053955078125, "raw_values": [ 196.71399999999999863575794734060764312744140625, 196.1390000000000100044417195022106170654296875, 188.308999999999997498889570124447345733642578125, 193.570999999999997953636921010911464691162109375, 191.43500000000000227373675443232059478759765625, 183.02699999999998681232682429254055023193359375, 185.243999999999999772626324556767940521240234375, 200.556999999999987949195201508700847625732421875, 184.5339999999999918145476840436458587646484375, 188.359000000000008867573342286050319671630859375, 197.580000000000012505552149377763271331787109375, 190.8410000000000081854523159563541412353515625, 181.921999999999997044142219237983226776123046875, 186.794000000000011141310096718370914459228515625, 186.861999999999994770405464805662631988525390625 ], "test_run_times": [ 1.8600000000000000976996261670137755572795867919921875, 1.8200000000000000621724893790087662637233734130859375, 1.8600000000000000976996261670137755572795867919921875, 1.8400000000000000799360577730112709105014801025390625, 1.9099999999999999200639422269887290894985198974609375, 1.87999999999999989341858963598497211933135986328125, 1.87000000000000010658141036401502788066864013671875, 1.7399999999999999911182158029987476766109466552734375, 1.850000000000000088817841970012523233890533447265625, 1.850000000000000088817841970012523233890533447265625, 1.8300000000000000710542735760100185871124267578125, 1.87000000000000010658141036401502788066864013671875, 1.899999999999999911182158029987476766109466552734375, 1.850000000000000088817841970012523233890533447265625, 1.8600000000000000976996261670137755572795867919921875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3" } } } } }, "9f8e3f3d60a469ef489b9d6bb6e396c5c792c9ef": { "identifier": "pts\/heffte-1.0.0", "title": "HeFFTe - Highly Efficient FFT for Exascale", "app_version": "2.3", "arguments": "r2c fftw double 512 512 512", "description": "Test: r2c - Backend: FFTW - Precision: double - X Y Z: 512", "scale": "GFLOP\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 134.81999999999999317878973670303821563720703125, "raw_values": [ 133.7359999999999899955582804977893829345703125, 133.90199999999998681232682429254055023193359375, 135.813999999999992951416061259806156158447265625, 135.825999999999993406163412146270275115966796875 ], "test_run_times": [ 15.230000000000000426325641456060111522674560546875, 15.25, 14.9900000000000002131628207280300557613372802734375, 15 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3" } } } } }, "06178cf69a3eef7655301b195b98c092d4336a7d": { "identifier": "pts\/mt-dgemm-1.2.0", "title": "ACES DGEMM", "app_version": "1.0", "description": "Sustained Floating-Point Rate", "scale": "GFLOP\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 40.5531799999999975625541992485523223876953125, "raw_values": [ 40.8112670000000008485585567541420459747314453125, 40.635672999999997045961208641529083251953125, 39.875214999999997189661371521651744842529296875, 40.9486040000000031113813747651875019073486328125, 40.427672000000001162334228865802288055419921875, 40.59263800000000088630258687771856784820556640625, 40.5811920000000014852048479951918125152587890625 ], "test_run_times": [ 5.71999999999999975131004248396493494510650634765625, 5.7400000000000002131628207280300557613372802734375, 5.8499999999999996447286321199499070644378662109375, 5.69000000000000039079850466805510222911834716796875, 5.769999999999999573674358543939888477325439453125, 5.75, 5.75 ], "details": { "compiler-options": { "compiler-type": "CC", "compiler": "gcc", "compiler-options": "-O3 -march=native -fopenmp" } } } } }, "8e8ff63ac3f15569ff25466389335ad30dd4ed1d": { "identifier": "pts\/libxsmm-1.0.1", "title": "libxsmm", "app_version": "2-1.17-3645", "arguments": "128 128 128", "description": "M N K: 128", "scale": "GFLOPS\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 2913.40000000000009094947017729282379150390625, "raw_values": [ 3065, 2864.40000000000009094947017729282379150390625, 3051.6999999999998181010596454143524169921875, 2887.59999999999990905052982270717620849609375, 2861.90000000000009094947017729282379150390625, 2875.6999999999998181010596454143524169921875, 2874.3000000000001818989403545856475830078125, 2899.40000000000009094947017729282379150390625, 2840.3000000000001818989403545856475830078125 ], "test_run_times": [ 463.29000000000002046363078989088535308837890625, 483.55000000000001136868377216160297393798828125, 470.18999999999999772626324556767940521240234375, 452.80000000000001136868377216160297393798828125, 491.06999999999999317878973670303821563720703125, 478.33999999999997498889570124447345733642578125, 481.42000000000001591615728102624416351318359375, 478.3899999999999863575794734060764312744140625, 452.8999999999999772626324556767940521240234375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lquadmath -lstdc++ -pthread -fPIC -std=c++14 -O2 -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden -msse4.2" } } } } }, "a8fc1dd7965a7a69a138b6eb021ca05f90ee8f15": { "identifier": "pts\/libxsmm-1.0.1", "title": "libxsmm", "app_version": "2-1.17-3645", "arguments": "256 256 256", "description": "M N K: 256", "scale": "GFLOPS\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 3064.40000000000009094947017729282379150390625, "raw_values": [ 2986.1999999999998181010596454143524169921875, 2982, 3126.6999999999998181010596454143524169921875, 3109, 3118.3000000000001818989403545856475830078125 ], "test_run_times": [ 165.43999999999999772626324556767940521240234375, 165.8600000000000136424205265939235687255859375, 164.990000000000009094947017729282379150390625, 165.1299999999999954525264911353588104248046875, 160.6200000000000045474735088646411895751953125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lquadmath -lstdc++ -pthread -fPIC -std=c++14 -O2 -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden -msse4.2" } } } } }, "dc0365bb1e622972e3f696a6adf87f55d7609b92": { "identifier": "pts\/libxsmm-1.0.1", "title": "libxsmm", "app_version": "2-1.17-3645", "arguments": "32 32 32", "description": "M N K: 32", "scale": "GFLOPS\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 1311.299999999999954525264911353588104248046875, "raw_values": [ 1313.700000000000045474735088646411895751953125, 1313.700000000000045474735088646411895751953125, 1310.59999999999990905052982270717620849609375, 1308.09999999999990905052982270717620849609375, 1314.299999999999954525264911353588104248046875, 1311.59999999999990905052982270717620849609375, 1302.200000000000045474735088646411895751953125, 1316.299999999999954525264911353588104248046875 ], "test_run_times": [ 4.6699999999999999289457264239899814128875732421875, 4.660000000000000142108547152020037174224853515625, 4.6699999999999999289457264239899814128875732421875, 4.70999999999999996447286321199499070644378662109375, 4.69000000000000039079850466805510222911834716796875, 4.660000000000000142108547152020037174224853515625, 4.75, 4.69000000000000039079850466805510222911834716796875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lquadmath -lstdc++ -pthread -fPIC -std=c++14 -O2 -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden -msse4.2" } } } } }, "c502ce1c8a1d2a1fac76c15b706119c82dceb50f": { "identifier": "pts\/libxsmm-1.0.1", "title": "libxsmm", "app_version": "2-1.17-3645", "arguments": "64 64 64", "description": "M N K: 64", "scale": "GFLOPS\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 2455.40000000000009094947017729282379150390625, "raw_values": [ 2458, 2470.1999999999998181010596454143524169921875, 2449, 2458.8000000000001818989403545856475830078125, 2466.3000000000001818989403545856475830078125, 2434.1999999999998181010596454143524169921875, 2451.40000000000009094947017729282379150390625 ], "test_run_times": [ 5.019999999999999573674358543939888477325439453125, 5, 5.04999999999999982236431605997495353221893310546875, 5.03000000000000024868995751603506505489349365234375, 5.0099999999999997868371792719699442386627197265625, 5.04000000000000003552713678800500929355621337890625, 5.04000000000000003552713678800500929355621337890625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lquadmath -lstdc++ -pthread -fPIC -std=c++14 -O2 -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden -msse4.2" } } } } }, "5d2144725b02c9a85f0aba3ea074277925e4cabb": { "identifier": "pts\/xmrig-1.1.0", "title": "Xmrig", "app_version": "6.18.1", "arguments": "--bench=1M", "description": "Variant: Monero - Hash Count: 1M", "scale": "H\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 69684.300000000002910383045673370361328125, "raw_values": [ 69671.800000000002910383045673370361328125, 69832.39999999999417923390865325927734375, 69454.10000000000582076609134674072265625, 69778.800000000002910383045673370361328125 ], "test_run_times": [ 15.089999999999999857891452847979962825775146484375, 15.07000000000000028421709430404007434844970703125, 15.1400000000000005684341886080801486968994140625, 15.0800000000000000710542735760100185871124267578125 ], "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" } } } } }, "971e0c0d0094618bdaf9ea0e74a96c382f824d5d": { "identifier": "pts\/xmrig-1.1.0", "title": "Xmrig", "app_version": "6.18.1", "arguments": "-a rx\/wow --bench=1M", "description": "Variant: Wownero - Hash Count: 1M", "scale": "H\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 74009.699999999997089616954326629638671875, "raw_values": [ 74074.10000000000582076609134674072265625, 74002.800000000002910383045673370361328125, 73997.300000000002910383045673370361328125, 73964.5 ], "test_run_times": [ 14.2400000000000002131628207280300557613372802734375, 14.25, 14.25, 14.25 ], "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" } } } } }, "af6eaa334bdf76b113725dd052a9c20f8478f446": { "identifier": "pts\/tensorflow-2.1.0", "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": { "Default": { "value": 303.80000000000001136868377216160297393798828125, "raw_values": [ 304.279999999999972715158946812152862548828125, 303.740000000000009094947017729282379150390625, 304.8799999999999954525264911353588104248046875, 302.8500000000000227373675443232059478759765625, 301.990000000000009094947017729282379150390625, 305.06000000000000227373675443232059478759765625 ], "test_run_times": [ 8.07000000000000028421709430404007434844970703125, 7.37000000000000010658141036401502788066864013671875, 7.339999999999999857891452847979962825775146484375, 7.37999999999999989341858963598497211933135986328125, 7.38999999999999968025576890795491635799407958984375, 7.339999999999999857891452847979962825775146484375 ] } } }, "c165c49bdb1fdec71417e5acc5264e6b685b474b": { "identifier": "pts\/tensorflow-2.1.0", "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": { "Default": { "value": 518.1499999999999772626324556767940521240234375, "raw_values": [ 518.5800000000000409272615797817707061767578125, 518.51999999999998181010596454143524169921875, 518.5800000000000409272615797817707061767578125, 515.7100000000000363797880709171295166015625, 519.3600000000000136424205265939235687255859375 ], "test_run_times": [ 8.3900000000000005684341886080801486968994140625, 8.410000000000000142108547152020037174224853515625, 8.3800000000000007815970093361102044582366943359375, 8.4399999999999995026200849679298698902130126953125, 8.3900000000000005684341886080801486968994140625 ] } } }, "be32f134f684dcae171ed12f4f1ae73a0e2aecc1": { "identifier": "pts\/tensorflow-2.1.0", "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": { "Default": { "value": 786.6000000000000227373675443232059478759765625, "raw_values": [ 791.990000000000009094947017729282379150390625, 788.1100000000000136424205265939235687255859375, 789.6200000000000045474735088646411895751953125, 783.700000000000045474735088646411895751953125, 779.5700000000000500222085975110530853271484375 ], "test_run_times": [ 10.5099999999999997868371792719699442386627197265625, 10.5600000000000004973799150320701301097869873046875, 10.5299999999999993605115378159098327159881591796875, 10.6300000000000007815970093361102044582366943359375, 10.6300000000000007815970093361102044582366943359375 ] } } }, "06eac0588a71a2425d97f7d0c51391a642497364": { "identifier": "pts\/tensorflow-2.1.0", "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": { "Default": { "value": 1196.160000000000081854523159563541412353515625, "raw_values": [ 1196.75, 1196.509999999999990905052982270717620849609375, 1195.23000000000001818989403545856475830078125 ], "test_run_times": [ 25.25, 25.21000000000000085265128291212022304534912109375, 25.219999999999998863131622783839702606201171875 ] } } }, "7f6df21a93ba35489085a609ea69619f513d19d8": { "identifier": "pts\/tensorflow-2.1.0", "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": { "Default": { "value": 1287.80999999999994543031789362430572509765625, "raw_values": [ 1287.700000000000045474735088646411895751953125, 1289.009999999999990905052982270717620849609375, 1286.7100000000000363797880709171295166015625 ], "test_run_times": [ 45.5, 45.409999999999996589394868351519107818603515625, 45.530000000000001136868377216160297393798828125 ] } } }, "8830b09e158de8a9d2b1f8cc75119beba467c9be": { "identifier": "pts\/tensorflow-2.1.0", "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": { "Default": { "value": 156.93999999999999772626324556767940521240234375, "raw_values": [ 156.909999999999996589394868351519107818603515625, 156.80000000000001136868377216160297393798828125, 157.990000000000009094947017729282379150390625, 156.06000000000000227373675443232059478759765625 ], "test_run_times": [ 13.92999999999999971578290569595992565155029296875, 13.92999999999999971578290569595992565155029296875, 13.8699999999999992184029906638897955417633056640625, 13.980000000000000426325641456060111522674560546875 ] } } }, "a19a31eae722217497dbf8e872f44816c3fc32f4": { "identifier": "pts\/tensorflow-2.1.0", "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": { "Default": { "value": 57.21000000000000085265128291212022304534912109375, "raw_values": [ 57.35000000000000142108547152020037174224853515625, 56.7999999999999971578290569595992565155029296875, 57.47999999999999687361196265555918216705322265625 ], "test_run_times": [ 34.43999999999999772626324556767940521240234375, 34.74000000000000198951966012828052043914794921875, 34.409999999999996589394868351519107818603515625 ] } } }, "a33fa703650a85f1e3929a0d209ba4b531b048c2": { "identifier": "pts\/tensorflow-2.1.0", "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": { "Default": { "value": 238.18000000000000682121026329696178436279296875, "raw_values": [ 238.580000000000012505552149377763271331787109375, 238.3799999999999954525264911353588104248046875, 237.580000000000012505552149377763271331787109375 ], "test_run_times": [ 17.530000000000001136868377216160297393798828125, 17.519999999999999573674358543939888477325439453125, 17.57000000000000028421709430404007434844970703125 ] } } }, "7ed50edd7b3d9b97ba98e7b3549cae2e1c4ebe62": { "identifier": "pts\/tensorflow-2.1.0", "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": { "Default": { "value": 78.1099999999999994315658113919198513031005859375, "raw_values": [ 78.280000000000001136868377216160297393798828125, 78.2900000000000062527760746888816356658935546875, 77.75 ], "test_run_times": [ 48.909999999999996589394868351519107818603515625, 48.909999999999996589394868351519107818603515625, 49.18999999999999772626324556767940521240234375 ] } } }, "72d57345c2fb054a7ec83ee6fa3c8c2b85fec524": { "identifier": "pts\/tensorflow-2.1.0", "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": { "Default": { "value": 296.18999999999999772626324556767940521240234375, "raw_values": [ 296.1399999999999863575794734060764312744140625, 296.18000000000000682121026329696178436279296875, 296.25 ], "test_run_times": [ 26.6099999999999994315658113919198513031005859375, 26.589999999999999857891452847979962825775146484375, 26.6099999999999994315658113919198513031005859375 ] } } }, "710d858e39b9394d3d7af3968973103c64ef880e": { "identifier": "pts\/tensorflow-2.1.0", "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": { "Default": { "value": 94.5, "raw_values": [ 94.469999999999998863131622783839702606201171875, 94.3700000000000045474735088646411895751953125, 94.659999999999996589394868351519107818603515625 ], "test_run_times": [ 78.7600000000000051159076974727213382720947265625, 78.81999999999999317878973670303821563720703125, 78.6299999999999954525264911353588104248046875 ] } } }, "f8f6ebd058853c97c35f5d1968cb8cd618445860": { "identifier": "pts\/tensorflow-2.1.0", "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": { "Default": { "value": 387.68000000000000682121026329696178436279296875, "raw_values": [ 388.16000000000002501110429875552654266357421875, 386.8899999999999863575794734060764312744140625, 387.990000000000009094947017729282379150390625 ], "test_run_times": [ 75.7399999999999948840923025272786617279052734375, 75.9599999999999937472239253111183643341064453125, 75.7900000000000062527760746888816356658935546875 ] } } }, "71a4639fe47bdee738bd114dcea823f6ef79b778": { "identifier": "pts\/tensorflow-2.1.0", "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": { "Default": { "value": 115.5100000000000051159076974727213382720947265625, "raw_values": [ 123.25, 113.56999999999999317878973670303821563720703125, 114.2999999999999971578290569595992565155029296875, 113.590000000000003410605131648480892181396484375, 114.599999999999994315658113919198513031005859375, 114.81999999999999317878973670303821563720703125, 114.25, 116.090000000000003410605131648480892181396484375, 115.1099999999999994315658113919198513031005859375 ], "test_run_times": [ 234.31999999999999317878973670303821563720703125, 252.020000000000010231815394945442676544189453125, 250.509999999999990905052982270717620849609375, 252.099999999999994315658113919198513031005859375, 250.06000000000000227373675443232059478759765625, 249.530000000000001136868377216160297393798828125, 250.740000000000009094947017729282379150390625, 247.1399999999999863575794734060764312744140625, 249 ] } } }, "f1a363f2cb22ae937605987c15f3939f96b5bdd9": { "identifier": "pts\/tensorflow-2.1.0", "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": { "Default": { "value": 409.01999999999998181010596454143524169921875, "raw_values": [ 448.43999999999999772626324556767940521240234375, 418.75, 402.6100000000000136424205265939235687255859375, 405.1299999999999954525264911353588104248046875, 405.57999999999998408384271897375583648681640625, 401.95999999999997953636921010911464691162109375, 403.720000000000027284841053187847137451171875, 402.07999999999998408384271897375583648681640625, 407.1000000000000227373675443232059478759765625, 405.8999999999999772626324556767940521240234375, 401.45999999999997953636921010911464691162109375, 405.470000000000027284841053187847137451171875 ], "test_run_times": [ 129.18000000000000682121026329696178436279296875, 137.349999999999994315658113919198513031005859375, 142.169999999999987494447850622236728668212890625, 141.349999999999994315658113919198513031005859375, 141.1299999999999954525264911353588104248046875, 142.3600000000000136424205265939235687255859375, 141.849999999999994315658113919198513031005859375, 142.400000000000005684341886080801486968994140625, 140.759999999999990905052982270717620849609375, 141.150000000000005684341886080801486968994140625, 142.599999999999994315658113919198513031005859375, 141.289999999999992041921359486877918243408203125 ] } } }, "80d14f3bce38107746885424e18fe36dcac7f7f4": { "identifier": "pts\/tensorflow-2.1.0", "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": { "Default": { "value": 116.150000000000005684341886080801486968994140625, "raw_values": [ 118, 115.2300000000000039790393202565610408782958984375, 115.219999999999998863131622783839702606201171875 ], "test_run_times": [ 479.16000000000002501110429875552654266357421875, 489.83999999999997498889570124447345733642578125, 489.8799999999999954525264911353588104248046875 ] } } }, "d7bec6d7bca28043ef7a4ec24ffbafb5fa9d7cae": { "identifier": "pts\/ospray-2.12.0", "title": "OSPRay", "app_version": "2.12", "arguments": "--benchmark_filter=particle_volume\/ao\/real_time", "description": "Benchmark: particle_volume\/ao\/real_time", "scale": "Items Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 25.1570999999999997953636921010911464691162109375, "raw_values": [ 25.1490000000000009094947017729282379150390625, 25.14750000000000085265128291212022304534912109375, 25.17490000000000094360075308941304683685302734375 ], "test_run_times": [ 92.0799999999999982946974341757595539093017578125, 92.159999999999996589394868351519107818603515625, 92.2600000000000051159076974727213382720947265625 ] } } }, "2a31ae0634dbb96a7c2974d1e2dec7f88f0b1468": { "identifier": "pts\/ospray-2.12.0", "title": "OSPRay", "app_version": "2.12", "arguments": "--benchmark_filter=particle_volume\/scivis\/real_time", "description": "Benchmark: particle_volume\/scivis\/real_time", "scale": "Items Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 25.108799999999998675548340543173253536224365234375, "raw_values": [ 25.103899999999999437250153278000652790069580078125, 25.126799999999999357669366872869431972503662109375, 25.09570000000000078443918027915060520172119140625 ], "test_run_times": [ 139.990000000000009094947017729282379150390625, 139.719999999999998863131622783839702606201171875, 139.990000000000009094947017729282379150390625 ] } } }, "c2de2d07de640d6a6ec7ede5c12f2e1fffbe33db": { "identifier": "pts\/ospray-2.12.0", "title": "OSPRay", "app_version": "2.12", "arguments": "--benchmark_filter=particle_volume\/pathtracer\/real_time", "description": "Benchmark: particle_volume\/pathtracer\/real_time", "scale": "Items Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 199.69499999999999317878973670303821563720703125, "raw_values": [ 199.6399999999999863575794734060764312744140625, 199.575999999999993406163412146270275115966796875, 199.868999999999999772626324556767940521240234375 ], "test_run_times": [ 161.740000000000009094947017729282379150390625, 161.169999999999987494447850622236728668212890625, 161.44999999999998863131622783839702606201171875 ] } } }, "f3503c240b61e21a781e05948a4fb23ef30eac3d": { "identifier": "pts\/ospray-2.12.0", "title": "OSPRay", "app_version": "2.12", "arguments": "--benchmark_filter=gravity_spheres_volume\/dim_512\/ao\/real_time", "description": "Benchmark: gravity_spheres_volume\/dim_512\/ao\/real_time", "scale": "Items Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 26.792300000000000892441676114685833454132080078125, "raw_values": [ 26.780300000000000437694325228221714496612548828125, 26.997800000000001574562702444382011890411376953125, 26.59870000000000089812601800076663494110107421875 ], "test_run_times": [ 51.49000000000000198951966012828052043914794921875, 51.0499999999999971578290569595992565155029296875, 51.7999999999999971578290569595992565155029296875 ] } } }, "271eecda32c87461e61b67c400410acd85220428": { "identifier": "pts\/ospray-2.12.0", "title": "OSPRay", "app_version": "2.12", "arguments": "--benchmark_filter=gravity_spheres_volume\/dim_512\/scivis\/real_time", "description": "Benchmark: gravity_spheres_volume\/dim_512\/scivis\/real_time", "scale": "Items Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 25.927199999999999135980033315718173980712890625, "raw_values": [ 25.8479999999999989768184605054557323455810546875, 25.959900000000001085709300241433084011077880859375, 25.973600000000001131184035330079495906829833984375 ], "test_run_times": [ 52.46000000000000085265128291212022304534912109375, 52.090000000000003410605131648480892181396484375, 51.8599999999999994315658113919198513031005859375 ] } } }, "cf6994179c89cfea6b8cf843144b1d9b65cad952": { "identifier": "pts\/ospray-2.12.0", "title": "OSPRay", "app_version": "2.12", "arguments": "--benchmark_filter=gravity_spheres_volume\/dim_512\/pathtracer\/real_time", "description": "Benchmark: gravity_spheres_volume\/dim_512\/pathtracer\/real_time", "scale": "Items Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 26.514500000000001733724275254644453525543212890625, "raw_values": [ 26.517700000000001381295078317634761333465576171875, 26.542899999999999494093572138808667659759521484375, 26.482800000000001006128513836301863193511962890625 ], "test_run_times": [ 51.3900000000000005684341886080801486968994140625, 51.340000000000003410605131648480892181396484375, 51.530000000000001136868377216160297393798828125 ] } } }, "8315d249c45b31a380a71ef2c000db2e666a90bd": { "identifier": "pts\/deepsparse-1.5.0", "title": "Neural Magic DeepSparse", "app_version": "1.5", "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": { "Default": { "value": 60.63069999999999737383404863066971302032470703125, "raw_values": [ 60.6323000000000007503331289626657962799072265625, 60.58250000000000312638803734444081783294677734375, 60.677199999999999135980033315718173980712890625 ], "test_run_times": [ 49.57000000000000028421709430404007434844970703125, 49.3299999999999982946974341757595539093017578125, 49.24000000000000198951966012828052043914794921875 ] } } }, "52650ab3f436f830a03f98d18570a098bc6a7a3b": { "identifier": "pts\/deepsparse-1.5.0", "title": "Neural Magic DeepSparse", "app_version": "1.5", "arguments": "zoo:nlp\/sentiment_analysis\/bert-base\/pytorch\/huggingface\/sst2\/12layer_pruned90-none --scenario async", "description": "Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream", "scale": "items\/sec", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 1219.495799999999917417881079018115997314453125, "raw_values": [ 1219.114600000000109503162093460559844970703125, 1218.173099999999976716935634613037109375, 1221.199699999999893407220952212810516357421875 ], "test_run_times": [ 43.0499999999999971578290569595992565155029296875, 42.77000000000000312638803734444081783294677734375, 42.75 ] } } }, "a6f79cb479021f303e5383b047b4c484b249cfe2": { "identifier": "pts\/deepsparse-1.5.0", "title": "Neural Magic DeepSparse", "app_version": "1.5", "arguments": "zoo:nlp\/question_answering\/bert-base\/pytorch\/huggingface\/squad\/12layer_pruned90-none --scenario async", "description": "Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream", "scale": "items\/sec", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 329.97730000000001382431946694850921630859375, "raw_values": [ 329.48210000000000263753463514149188995361328125, 330.2024999999999863575794734060764312744140625, 330.24740000000002737579052336513996124267578125 ], "test_run_times": [ 44.39999999999999857891452847979962825775146484375, 44.2999999999999971578290569595992565155029296875, 44.219999999999998863131622783839702606201171875 ] } } }, "04dc16cdb3e5ac095dfb8d008bb8116fa6ac559a": { "identifier": "pts\/deepsparse-1.5.0", "title": "Neural Magic DeepSparse", "app_version": "1.5", "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": { "Default": { "value": 344.4053000000000110958353616297245025634765625, "raw_values": [ 344.2504999999999881765688769519329071044921875, 343.7848000000000183717929758131504058837890625, 345.18049999999999499777914024889469146728515625 ], "test_run_times": [ 38.17999999999999971578290569595992565155029296875, 38.42999999999999971578290569595992565155029296875, 38.25999999999999801048033987171947956085205078125 ] } } }, "0ecd3fd90f51a32796ec6eaa16bbf44f503ba5c3": { "identifier": "pts\/deepsparse-1.5.0", "title": "Neural Magic DeepSparse", "app_version": "1.5", "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": { "Default": { "value": 797.9470999999999776264303363859653472900390625, "raw_values": [ 797.1219999999999572537490166723728179931640625, 798.7178000000000110958353616297245025634765625, 798.00160000000005311449058353900909423828125 ], "test_run_times": [ 37.75999999999999801048033987171947956085205078125, 42.5799999999999982946974341757595539093017578125, 37.61999999999999744204615126363933086395263671875 ] } } }, "83ed68ebf3a3a3b2b9436b45ecb77f255be36c9b": { "identifier": "pts\/deepsparse-1.5.0", "title": "Neural Magic DeepSparse", "app_version": "1.5", "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": { "Default": { "value": 513.18640000000004874891601502895355224609375, "raw_values": [ 512.6421000000000276486389338970184326171875, 513.678499999999985448084771633148193359375, 513.2386999999999943611328490078449249267578125 ], "test_run_times": [ 39.8299999999999982946974341757595539093017578125, 39.57000000000000028421709430404007434844970703125, 39.75999999999999801048033987171947956085205078125 ] } } }, "4a6fa7a8b3679b981efd8457ed37e9f3d1dc5d74": { "identifier": "pts\/deepsparse-1.5.0", "title": "Neural Magic DeepSparse", "app_version": "1.5", "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": { "Default": { "value": 114.1777000000000015234036254696547985076904296875, "raw_values": [ 114.0943999999999931560523691587150096893310546875, 114.123099999999993769961292855441570281982421875, 114.3156000000000034333424991928040981292724609375 ], "test_run_times": [ 51.27000000000000312638803734444081783294677734375, 51.22999999999999687361196265555918216705322265625, 51.36999999999999744204615126363933086395263671875 ] } } }, "171f8c3d82aa768908b7f868ef7e0a5add5c6e64": { "identifier": "pts\/deepsparse-1.5.0", "title": "Neural Magic DeepSparse", "app_version": "1.5", "arguments": "zoo:nlp\/text_classification\/bert-base\/pytorch\/huggingface\/sst2\/base-none --scenario async", "description": "Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream", "scale": "items\/sec", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 257.5711999999999761712388135492801666259765625, "raw_values": [ 257.471099999999978535925038158893585205078125, 257.5710000000000263753463514149188995361328125, 257.67140000000000554791768081486225128173828125 ], "test_run_times": [ 47.97999999999999687361196265555918216705322265625, 47.89999999999999857891452847979962825775146484375, 47.89999999999999857891452847979962825775146484375 ] } } }, "ae0eb01689f3661bfb3f5549d4f6a3b68092849c": { "identifier": "pts\/deepsparse-1.5.0", "title": "Neural Magic DeepSparse", "app_version": "1.5", "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": { "Default": { "value": 60.58400000000000318323145620524883270263671875, "raw_values": [ 60.5525999999999982037479639984667301177978515625, 60.6019000000000005456968210637569427490234375, 60.59759999999999990905052982270717620849609375 ], "test_run_times": [ 49.35000000000000142108547152020037174224853515625, 49.39999999999999857891452847979962825775146484375, 49.17999999999999971578290569595992565155029296875 ] } } }, "c212c896df8c6642f131c7904ac94dad45fedae2": { "identifier": "pts\/askap-2.1.0", "title": "ASKAP", "app_version": "1.0", "arguments": "tHogbomCleanOMP", "description": "Test: Hogbom Clean OpenMP", "scale": "Iterations Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 1212.170000000000072759576141834259033203125, "raw_values": [ 1219.509999999999990905052982270717620849609375, 1219.509999999999990905052982270717620849609375, 1204.819999999999936335370875895023345947265625, 1204.819999999999936335370875895023345947265625 ], "test_run_times": [ 13.1300000000000007815970093361102044582366943359375, 13.2400000000000002131628207280300557613372802734375, 13.269999999999999573674358543939888477325439453125, 13.17999999999999971578290569595992565155029296875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -fstrict-aliasing -fopenmp" } } } } }, "e65eb57a1360069486c098fe8d9b11e81e68b3cb": { "identifier": "pts\/laghos-1.0.0", "title": "Laghos", "app_version": "3.1", "arguments": "-p 3 -m data\/box01_hex.mesh -rs 2 -tf 5.0 -vis -pa", "description": "Test: Triple Point Problem", "scale": "Major Kernels Total Rate", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 238.8899999999999863575794734060764312744140625, "raw_values": [ 241.24464158000000679749064147472381591796875, 239.711622651800013272804790176451206207275390625, 235.715690204100013716015382669866085052490234375 ], "test_run_times": [ 47.590000000000003410605131648480892181396484375, 47.840000000000003410605131648480892181396484375, 48.5499999999999971578290569595992565155029296875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -std=c++11 -lmfem -lHYPRE -lmetis -lrt -lmpi_cxx -lmpi" } } } } }, "70c65339a870dd73538d193a2915bbb2178af09a": { "identifier": "pts\/laghos-1.0.0", "title": "Laghos", "app_version": "3.1", "arguments": "-p 1 -m data\/cube_922_hex.mesh -rs 2 -tf 0.6 -no-vis -pa", "description": "Test: Sedov Blast Wave, ube_922_hex.mesh", "scale": "Major Kernels Total Rate", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 446.93000000000000682121026329696178436279296875, "raw_values": [ 444.433017345899997962987981736660003662109375, 449.67066231879999804732506163418292999267578125, 446.678162717799978054245002567768096923828125 ], "test_run_times": [ 70.280000000000001136868377216160297393798828125, 69.530000000000001136868377216160297393798828125, 69.9500000000000028421709430404007434844970703125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -std=c++11 -lmfem -lHYPRE -lmetis -lrt -lmpi_cxx -lmpi" } } } } }, "92e099f27600322d618f7a9b5847b8dc2e449254": { "identifier": "pts\/compress-zstd-1.6.0", "title": "Zstd Compression", "app_version": "1.5.4", "arguments": "-b3", "description": "Compression Level: 3 - Compression Speed", "scale": "MB\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 3989.6999999999998181010596454143524169921875, "raw_values": [ 4003.90000000000009094947017729282379150390625, 3945.59999999999990905052982270717620849609375, 4019.5 ], "test_run_times": [ 62.49000000000000198951966012828052043914794921875, 62.67999999999999971578290569595992565155029296875, 62.43999999999999772626324556767940521240234375 ], "details": { "compiler-options": { "compiler-type": "CC", "compiler": "gcc", "compiler-options": "-O3 -pthread -lz -llzma" } } } } }, "3ea322694d582f5159d3e70725f28237a95a9fe8": { "identifier": "pts\/compress-zstd-1.6.0", "title": "Zstd Compression", "app_version": "1.5.4", "arguments": "-b3", "description": "Compression Level: 3 - Decompression Speed", "scale": "MB\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 1498.799999999999954525264911353588104248046875, "raw_values": [ 1496.5, 1499.799999999999954525264911353588104248046875, 1500.200000000000045474735088646411895751953125 ], "test_run_times": [ 62.49000000000000198951966012828052043914794921875, 62.67999999999999971578290569595992565155029296875, 62.43999999999999772626324556767940521240234375 ], "details": { "compiler-options": { "compiler-type": "CC", "compiler": "gcc", "compiler-options": "-O3 -pthread -lz -llzma" } } } } }, "395e4c20576c110d12f4519794a0f2412a6d5593": { "identifier": "pts\/compress-zstd-1.6.0", "title": "Zstd Compression", "app_version": "1.5.4", "arguments": "-b8", "description": "Compression Level: 8 - Compression Speed", "scale": "MB\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 1226.700000000000045474735088646411895751953125, "raw_values": [ 1226.799999999999954525264911353588104248046875, 1223.90000000000009094947017729282379150390625, 1229.299999999999954525264911353588104248046875 ], "test_run_times": [ 62.219999999999998863131622783839702606201171875, 62.25, 61.9200000000000017053025658242404460906982421875 ], "details": { "compiler-options": { "compiler-type": "CC", "compiler": "gcc", "compiler-options": "-O3 -pthread -lz -llzma" } } } } }, "8cb41640830d15e41c346c8212d56a54e75f7c03": { "identifier": "pts\/compress-zstd-1.6.0", "title": "Zstd Compression", "app_version": "1.5.4", "arguments": "-b8", "description": "Compression Level: 8 - Decompression Speed", "scale": "MB\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 1639.90000000000009094947017729282379150390625, "raw_values": [ 1635.40000000000009094947017729282379150390625, 1641.700000000000045474735088646411895751953125, 1642.5 ], "test_run_times": [ 62.219999999999998863131622783839702606201171875, 62.25, 61.9200000000000017053025658242404460906982421875 ], "details": { "compiler-options": { "compiler-type": "CC", "compiler": "gcc", "compiler-options": "-O3 -pthread -lz -llzma" } } } } }, "c06895abdd6b327fc95f2e22945c785655094040": { "identifier": "pts\/compress-zstd-1.6.0", "title": "Zstd Compression", "app_version": "1.5.4", "arguments": "-b12", "description": "Compression Level: 12 - Compression Speed", "scale": "MB\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 329.30000000000001136868377216160297393798828125, "raw_values": [ 328.69999999999998863131622783839702606201171875, 326.69999999999998863131622783839702606201171875, 332.6000000000000227373675443232059478759765625 ], "test_run_times": [ 62.5499999999999971578290569595992565155029296875, 62.9200000000000017053025658242404460906982421875, 63.17999999999999971578290569595992565155029296875 ], "details": { "compiler-options": { "compiler-type": "CC", "compiler": "gcc", "compiler-options": "-O3 -pthread -lz -llzma" } } } } }, "fe510ac550d603264614c576bc7060e188463c6f": { "identifier": "pts\/compress-zstd-1.6.0", "title": "Zstd Compression", "app_version": "1.5.4", "arguments": "-b12", "description": "Compression Level: 12 - Decompression Speed", "scale": "MB\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 1653.299999999999954525264911353588104248046875, "raw_values": [ 1657.40000000000009094947017729282379150390625, 1651.700000000000045474735088646411895751953125, 1650.90000000000009094947017729282379150390625 ], "test_run_times": [ 62.5499999999999971578290569595992565155029296875, 62.9200000000000017053025658242404460906982421875, 63.17999999999999971578290569595992565155029296875 ], "details": { "compiler-options": { "compiler-type": "CC", "compiler": "gcc", "compiler-options": "-O3 -pthread -lz -llzma" } } } } }, "924f3fdaa152af068eb991576ae2c472f00245af": { "identifier": "pts\/compress-zstd-1.6.0", "title": "Zstd Compression", "app_version": "1.5.4", "arguments": "-b19", "description": "Compression Level: 19 - Compression Speed", "scale": "MB\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 17.300000000000000710542735760100185871124267578125, "raw_values": [ 17.199999999999999289457264239899814128875732421875, 17.300000000000000710542735760100185871124267578125, 17.300000000000000710542735760100185871124267578125 ], "test_run_times": [ 68.650000000000005684341886080801486968994140625, 68.150000000000005684341886080801486968994140625, 68.1200000000000045474735088646411895751953125 ], "details": { "compiler-options": { "compiler-type": "CC", "compiler": "gcc", "compiler-options": "-O3 -pthread -lz -llzma" } } } } }, "b66860384b31a71bfca00bfaef4e4f3a2bffbd21": { "identifier": "pts\/compress-zstd-1.6.0", "title": "Zstd Compression", "app_version": "1.5.4", "arguments": "-b19", "description": "Compression Level: 19 - Decompression Speed", "scale": "MB\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 1433.40000000000009094947017729282379150390625, "raw_values": [ 1420.799999999999954525264911353588104248046875, 1439.09999999999990905052982270717620849609375, 1440.200000000000045474735088646411895751953125 ], "test_run_times": [ 68.650000000000005684341886080801486968994140625, 68.150000000000005684341886080801486968994140625, 68.1200000000000045474735088646411895751953125 ], "details": { "compiler-options": { "compiler-type": "CC", "compiler": "gcc", "compiler-options": "-O3 -pthread -lz -llzma" } } } } }, "09170526123916dd709fca4cd70bc6ee376105e3": { "identifier": "pts\/compress-zstd-1.6.0", "title": "Zstd Compression", "app_version": "1.5.4", "arguments": "-b3 --long", "description": "Compression Level: 3, Long Mode - Compression Speed", "scale": "MB\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 889.8999999999999772626324556767940521240234375, "raw_values": [ 912.299999999999954525264911353588104248046875, 884.1000000000000227373675443232059478759765625, 873.200000000000045474735088646411895751953125 ], "test_run_times": [ 62.17999999999999971578290569595992565155029296875, 62.2000000000000028421709430404007434844970703125, 63.31000000000000227373675443232059478759765625 ], "details": { "compiler-options": { "compiler-type": "CC", "compiler": "gcc", "compiler-options": "-O3 -pthread -lz -llzma" } } } } }, "19e608566f0b58d80fa71eaf8a725c6648a61850": { "identifier": "pts\/compress-zstd-1.6.0", "title": "Zstd Compression", "app_version": "1.5.4", "arguments": "-b3 --long", "description": "Compression Level: 3, Long Mode - Decompression Speed", "scale": "MB\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 1534.5, "raw_values": [ 1531.799999999999954525264911353588104248046875, 1532.40000000000009094947017729282379150390625, 1539.299999999999954525264911353588104248046875 ], "test_run_times": [ 62.17999999999999971578290569595992565155029296875, 62.2000000000000028421709430404007434844970703125, 63.31000000000000227373675443232059478759765625 ], "details": { "compiler-options": { "compiler-type": "CC", "compiler": "gcc", "compiler-options": "-O3 -pthread -lz -llzma" } } } } }, "937e54a95848bf955507761ced93c3ee26ceb828": { "identifier": "pts\/compress-zstd-1.6.0", "title": "Zstd Compression", "app_version": "1.5.4", "arguments": "-b8 --long", "description": "Compression Level: 8, Long Mode - Compression Speed", "scale": "MB\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 876.8999999999999772626324556767940521240234375, "raw_values": [ 882.8999999999999772626324556767940521240234375, 877.1000000000000227373675443232059478759765625, 870.6000000000000227373675443232059478759765625 ], "test_run_times": [ 62.159999999999996589394868351519107818603515625, 62.2999999999999971578290569595992565155029296875, 62.2999999999999971578290569595992565155029296875 ], "details": { "compiler-options": { "compiler-type": "CC", "compiler": "gcc", "compiler-options": "-O3 -pthread -lz -llzma" } } } } }, "198db956c2612ecb71842d7465ccabcbf67d7494": { "identifier": "pts\/compress-zstd-1.6.0", "title": "Zstd Compression", "app_version": "1.5.4", "arguments": "-b8 --long", "description": "Compression Level: 8, Long Mode - Decompression Speed", "scale": "MB\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 1648.09999999999990905052982270717620849609375, "raw_values": [ 1648.09999999999990905052982270717620849609375, 1649.200000000000045474735088646411895751953125, 1647 ], "test_run_times": [ 62.159999999999996589394868351519107818603515625, 62.2999999999999971578290569595992565155029296875, 62.2999999999999971578290569595992565155029296875 ], "details": { "compiler-options": { "compiler-type": "CC", "compiler": "gcc", "compiler-options": "-O3 -pthread -lz -llzma" } } } } }, "2234bc1084d194b919c60b912f4eb85cdecea78c": { "identifier": "pts\/compress-zstd-1.6.0", "title": "Zstd Compression", "app_version": "1.5.4", "arguments": "-b19 --long", "description": "Compression Level: 19, Long Mode - Compression Speed", "scale": "MB\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 8.519999999999999573674358543939888477325439453125, "raw_values": [ 8.519999999999999573674358543939888477325439453125, 8.4900000000000002131628207280300557613372802734375, 8.53999999999999914734871708787977695465087890625 ], "test_run_times": [ 81.8799999999999954525264911353588104248046875, 82.2300000000000039790393202565610408782958984375, 81.719999999999998863131622783839702606201171875 ], "details": { "compiler-options": { "compiler-type": "CC", "compiler": "gcc", "compiler-options": "-O3 -pthread -lz -llzma" } } } } }, "cdca4a772c3c3f0ac0072e7c4c4c91df448b3893": { "identifier": "pts\/compress-zstd-1.6.0", "title": "Zstd Compression", "app_version": "1.5.4", "arguments": "-b19 --long", "description": "Compression Level: 19, Long Mode - Decompression Speed", "scale": "MB\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 1357.799999999999954525264911353588104248046875, "raw_values": [ 1360.59999999999990905052982270717620849609375, 1353.200000000000045474735088646411895751953125, 1359.700000000000045474735088646411895751953125 ], "test_run_times": [ 81.8799999999999954525264911353588104248046875, 82.2300000000000039790393202565610408782958984375, 81.719999999999998863131622783839702606201171875 ], "details": { "compiler-options": { "compiler-type": "CC", "compiler": "gcc", "compiler-options": "-O3 -pthread -lz -llzma" } } } } }, "6e92587d405cbe461ae9bd2eab093d6af4e54f14": { "identifier": "pts\/petsc-1.0.0", "title": "PETSc", "app_version": "3.19", "arguments": "streams", "description": "Test: Streams", "scale": "MB\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 272616.799400000018067657947540283203125, "raw_values": [ 278065.88719999999739229679107666015625, 279152.6758999999728985130786895751953125, 224901.07660000000032596290111541748046875, 280459.5995000000111758708953857421875, 281195.624399999971501529216766357421875, 276104.1351000000140629708766937255859375, 274390.2925999999861232936382293701171875, 279140.4979000000166706740856170654296875, 280141.4058000000077299773693084716796875 ], "test_run_times": [ 1002.6100000000000136424205265939235687255859375, 1032.079999999999927240423858165740966796875, 1053.390000000000100044417195022106170654296875, 1050.90000000000009094947017729282379150390625, 1041.660000000000081854523159563541412353515625, 1035.94000000000005456968210637569427490234375, 1038.680000000000063664629124104976654052734375, 1053.549999999999954525264911353588104248046875, 1034.609999999999899955582804977893829345703125 ], "details": { "compiler-options": { "compiler-type": "CC", "compiler": "gcc", "compiler-options": "-fPIC -O3 -O2 -lpthread -ludev -lpciaccess -lm" } } } } }, "341cb0ab74c0de8516f076bd28a21c39c7ee1ce9": { "identifier": "pts\/srsran-2.1.0", "title": "srsRAN Project", "app_version": "23.5", "arguments": "tests\/benchmarks\/phy\/upper\/downlink_processor_benchmark -R 50000 -P pdsch_scs15_50MHz_256qam_max", "description": "Test: Downlink Processor Benchmark", "scale": "Mbps", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 721.299999999999954525264911353588104248046875, "raw_values": [ 727.799999999999954525264911353588104248046875, 707.799999999999954525264911353588104248046875, 728.200000000000045474735088646411895751953125 ], "test_run_times": [ 19.57000000000000028421709430404007434844970703125, 20.019999999999999573674358543939888477325439453125, 19.559999999999998721023075631819665431976318359375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-march=native -mfma -O3 -fno-trapping-math -fno-math-errno -lgtest" } } } } }, "fc45f909c9861ed733608939b8d5df123574729f": { "identifier": "pts\/srsran-2.1.0", "title": "srsRAN Project", "app_version": "23.5", "arguments": "tests\/benchmarks\/phy\/upper\/channel_processors\/pusch_processor_benchmark -m throughput_total -R 100 -P pusch_scs15_50MHz_256qam_max", "description": "Test: PUSCH Processor Benchmark, Throughput Total", "scale": "Mbps", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 18408.0999999999985448084771633148193359375, "raw_values": [ 18369, 18406.5, 18448.9000000000014551915228366851806640625 ], "test_run_times": [ 32.1700000000000017053025658242404460906982421875, 32.14999999999999857891452847979962825775146484375, 32.1400000000000005684341886080801486968994140625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-march=native -mfma -O3 -fno-trapping-math -fno-math-errno -lgtest" } } } } }, "fd01cbfe43d76c8dc25fcea50dce493ef6275d8a": { "identifier": "pts\/palabos-1.0.0", "title": "Palabos", "app_version": "2.3", "arguments": "100", "description": "Grid Size: 100", "scale": "Mega Site Updates Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 591.5339999999999918145476840436458587646484375, "raw_values": [ 600.6689999999999827196006663143634796142578125, 586.634000000000014551915228366851806640625, 587.298000000000001818989403545856475830078125 ], "test_run_times": [ 96.7399999999999948840923025272786617279052734375, 99.6200000000000045474735088646411895751953125, 99.0799999999999982946974341757595539093017578125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-std=c++17 -pedantic -O3 -rdynamic -lcrypto -lcurl -lsz -lz -ldl -lm" } } } } }, "6f2505daaf6c6e84a51082a4c9645026e9b9647c": { "identifier": "pts\/palabos-1.0.0", "title": "Palabos", "app_version": "2.3", "arguments": "400", "description": "Grid Size: 400", "scale": "Mega Site Updates Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 317.81999999999999317878973670303821563720703125, "raw_values": [ 349.0729999999999790816218592226505279541015625, 314.51200000000000045474735088646411895751953125, 315.25299999999998590283212251961231231689453125, 313.97300000000001318767317570745944976806640625, 314.2640000000000100044417195022106170654296875, 313.97800000000000864019966684281826019287109375, 317.423000000000001818989403545856475830078125, 315.40399999999999636202119290828704833984375, 314.6480000000000245563569478690624237060546875, 313.81400000000002137312549166381359100341796875, 315.1680000000000063664629124104976654052734375, 316.33400000000000318323145620524883270263671875 ], "test_run_times": [ 142.289999999999992041921359486877918243408203125, 184.900000000000005684341886080801486968994140625, 182.520000000000010231815394945442676544189453125, 183.509999999999990905052982270717620849609375, 183.18999999999999772626324556767940521240234375, 183.080000000000012505552149377763271331787109375, 182.30000000000001136868377216160297393798828125, 182.80000000000001136868377216160297393798828125, 183.159999999999996589394868351519107818603515625, 182.990000000000009094947017729282379150390625, 183.349999999999994315658113919198513031005859375, 181.81999999999999317878973670303821563720703125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-std=c++17 -pedantic -O3 -rdynamic -lcrypto -lcurl -lsz -lz -ldl -lm" } } } } }, "649969ce4a6954e9b5a8d9dc6b69c70635724e0b": { "identifier": "pts\/palabos-1.0.0", "title": "Palabos", "app_version": "2.3", "arguments": "500", "description": "Grid Size: 500", "scale": "Mega Site Updates Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 328.71300000000002228262019343674182891845703125, "raw_values": [ 328.60399999999998499333742074668407440185546875, 328.9189999999999827196006663143634796142578125, 328.615999999999985448084771633148193359375 ], "test_run_times": [ 166.919999999999987494447850622236728668212890625, 176.009999999999990905052982270717620849609375, 176.479999999999989768184605054557323455810546875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-std=c++17 -pedantic -O3 -rdynamic -lcrypto -lcurl -lsz -lz -ldl -lm" } } } } }, "1714df1fd98fff127eb608e6fa75511e9dc8b0f3": { "identifier": "pts\/palabos-1.0.0", "title": "Palabos", "app_version": "2.3", "arguments": "1000", "description": "Grid Size: 1000", "scale": "Mega Site Updates Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 370.18900000000002137312549166381359100341796875, "raw_values": [ 370.38700000000000045474735088646411895751953125, 370.115999999999985448084771633148193359375, 370.06499999999999772626324556767940521240234375 ], "test_run_times": [ 162.270000000000010231815394945442676544189453125, 171.1200000000000045474735088646411895751953125, 170.729999999999989768184605054557323455810546875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-std=c++17 -pedantic -O3 -rdynamic -lcrypto -lcurl -lsz -lz -ldl -lm" } } } } }, "b3f5accdf783cdc4317f5cb25284df011e720aec": { "identifier": "pts\/askap-2.1.0", "title": "ASKAP", "app_version": "1.0", "arguments": "tConvolveMT", "description": "Test: tConvolve MT - Gridding", "scale": "Million Grid Points Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 13582.79999999999927240423858165740966796875, "raw_values": [ 13581.600000000000363797880709171295166015625, 13585.20000000000072759576141834259033203125, 13581.600000000000363797880709171295166015625 ], "test_run_times": [ 299.279999999999972715158946812152862548828125, 299.220000000000027284841053187847137451171875, 299.19999999999998863131622783839702606201171875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -fstrict-aliasing -fopenmp" } } } } }, "a4ba9fc0872c3d241773d2ca646b8b8db6476329": { "identifier": "pts\/askap-2.1.0", "title": "ASKAP", "app_version": "1.0", "arguments": "tConvolveMT", "description": "Test: tConvolve MT - Degridding", "scale": "Million Grid Points Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 15603.20000000000072759576141834259033203125, "raw_values": [ 15571.5, 15609.5, 15628.600000000000363797880709171295166015625 ], "test_run_times": [ 299.279999999999972715158946812152862548828125, 299.220000000000027284841053187847137451171875, 299.19999999999998863131622783839702606201171875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -fstrict-aliasing -fopenmp" } } } } }, "7da796e74ef24635ca15c4233ab0ca445255dc09": { "identifier": "pts\/askap-2.1.0", "title": "ASKAP", "app_version": "1.0", "arguments": "tConvolveOMP", "description": "Test: tConvolve OpenMP - Gridding", "scale": "Million Grid Points Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 26625.5999999999985448084771633148193359375, "raw_values": [ 26625.5999999999985448084771633148193359375, 26625.5999999999985448084771633148193359375, 26625.5999999999985448084771633148193359375, 26625.5999999999985448084771633148193359375, 26625.5999999999985448084771633148193359375, 26625.5999999999985448084771633148193359375, 26625.5999999999985448084771633148193359375 ], "test_run_times": [ 6.13999999999999968025576890795491635799407958984375, 6.160000000000000142108547152020037174224853515625, 6.1500000000000003552713678800500929355621337890625, 6.1699999999999999289457264239899814128875732421875, 6.1500000000000003552713678800500929355621337890625, 6.480000000000000426325641456060111522674560546875, 6.13999999999999968025576890795491635799407958984375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -fstrict-aliasing -fopenmp" } } } } }, "d14c9614a777b379826298f2955d3529b3b227bb": { "identifier": "pts\/askap-2.1.0", "title": "ASKAP", "app_version": "1.0", "arguments": "tConvolveOMP", "description": "Test: tConvolve OpenMP - Degridding", "scale": "Million Grid Points Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 55153, "raw_values": [ 53251.199999999997089616954326629638671875, 53251.199999999997089616954326629638671875, 53251.199999999997089616954326629638671875, 66564, 53251.199999999997089616954326629638671875, 53251.199999999997089616954326629638671875, 53251.199999999997089616954326629638671875 ], "test_run_times": [ 6.13999999999999968025576890795491635799407958984375, 6.160000000000000142108547152020037174224853515625, 6.1500000000000003552713678800500929355621337890625, 6.1699999999999999289457264239899814128875732421875, 6.1500000000000003552713678800500929355621337890625, 6.480000000000000426325641456060111522674560546875, 6.13999999999999968025576890795491635799407958984375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -fstrict-aliasing -fopenmp" } } } } }, "1ef13e3cbacb2cbf5f2b35f6e4f037552c8625b0": { "identifier": "pts\/compress-7zip-1.10.0", "title": "7-Zip Compression", "app_version": "22.01", "description": "Test: Compression Rating", "scale": "MIPS", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 647063, "raw_values": [ 647984, 646441, 646764 ], "test_run_times": [ 33.78999999999999914734871708787977695465087890625, 33.909999999999996589394868351519107818603515625, 33.780000000000001136868377216160297393798828125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-lpthread -ldl -O2 -fPIC" } } } } }, "5df3d6fbf439145bff0866691168521bc6880a8a": { "identifier": "pts\/compress-7zip-1.10.0", "title": "7-Zip Compression", "app_version": "22.01", "description": "Test: Decompression Rating", "scale": "MIPS", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 626472, "raw_values": [ 627369, 624379, 627668 ], "test_run_times": [ 33.78999999999999914734871708787977695465087890625, 33.909999999999996589394868351519107818603515625, 33.780000000000001136868377216160297393798828125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-lpthread -ldl -O2 -fPIC" } } } } }, "1b62e35a0d9390cd9547b77371cfe592c3b7252c": { "identifier": "pts\/askap-2.1.0", "title": "ASKAP", "app_version": "1.0", "arguments": "tConvolveMPI", "description": "Test: tConvolve MPI - Degridding", "scale": "Mpix\/sec", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 59791.0999999999985448084771633148193359375, "raw_values": [ 60552.800000000002910383045673370361328125, 59410.300000000002910383045673370361328125, 59410.300000000002910383045673370361328125 ], "test_run_times": [ 29.589999999999999857891452847979962825775146484375, 29.559999999999998721023075631819665431976318359375, 29.550000000000000710542735760100185871124267578125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -fstrict-aliasing -fopenmp" } } } } }, "457882defd00666e3312f9e1142c2d5e939a3fd1": { "identifier": "pts\/askap-2.1.0", "title": "ASKAP", "app_version": "1.0", "arguments": "tConvolveMPI", "description": "Test: tConvolve MPI - Gridding", "scale": "Mpix\/sec", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 73226.699999999997089616954326629638671875, "raw_values": [ 73226.699999999997089616954326629638671875, 73226.699999999997089616954326629638671875, 73226.699999999997089616954326629638671875 ], "test_run_times": [ 29.589999999999999857891452847979962825775146484375, 29.559999999999998721023075631819665431976318359375, 29.550000000000000710542735760100185871124267578125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -fstrict-aliasing -fopenmp" } } } } }, "08aafe6c95de51fea79b5e25bca712c70a353eb9": { "identifier": "pts\/astcenc-1.4.0", "title": "ASTC Encoder", "app_version": "4.0", "arguments": "-medium -repeats 20", "description": "Preset: Medium", "scale": "MT\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 419.42649999999997589839040301740169525146484375, "raw_values": [ 419.17020000000002255546860396862030029296875, 419.53699999999997771737980656325817108154296875, 419.43389999999999417923390865325927734375, 419.60169999999999390638549812138080596923828125, 419.25749999999999317878973670303821563720703125, 419.58069999999997889972291886806488037109375, 419.37619999999998299244907684624195098876953125, 419.45490000000000918589648790657520294189453125 ], "test_run_times": [ 4.46999999999999975131004248396493494510650634765625, 4.45000000000000017763568394002504646778106689453125, 4.45000000000000017763568394002504646778106689453125, 4.46999999999999975131004248396493494510650634765625, 4.45000000000000017763568394002504646778106689453125, 4.45999999999999996447286321199499070644378662109375, 4.4900000000000002131628207280300557613372802734375, 4.5099999999999997868371792719699442386627197265625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -flto -pthread" } } } } }, "f4bab2e6e68d7e3e8a42a143b46243b969fdb7b3": { "identifier": "pts\/astcenc-1.4.0", "title": "ASTC Encoder", "app_version": "4.0", "arguments": "-thorough -repeats 10", "description": "Preset: Thorough", "scale": "MT\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 56.77799999999999869260136620141565799713134765625, "raw_values": [ 56.86829999999999785131876706145703792572021484375, 56.7633000000000009777068044058978557586669921875, 56.79860000000000042064129956997931003570556640625, 56.71470000000000055706550483591854572296142578125, 56.77080000000000126192389870993793010711669921875, 56.75240000000000151203494169749319553375244140625 ], "test_run_times": [ 8.1500000000000003552713678800500929355621337890625, 8.160000000000000142108547152020037174224853515625, 8.1500000000000003552713678800500929355621337890625, 8.17999999999999971578290569595992565155029296875, 8.17999999999999971578290569595992565155029296875, 8.1400000000000005684341886080801486968994140625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -flto -pthread" } } } } }, "82dcbd30fc64541685bca5731832cfa438cde391": { "identifier": "pts\/astcenc-1.4.0", "title": "ASTC Encoder", "app_version": "4.0", "arguments": "-exhaustive -repeats 2", "description": "Preset: Exhaustive", "scale": "MT\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 6.1410999999999997811528373858891427516937255859375, "raw_values": [ 6.1433999999999997498889570124447345733642578125, 6.1440999999999998948396751075051724910736083984375, 6.140399999999999636202119290828704833984375, 6.1364999999999998436805981327779591083526611328125 ], "test_run_times": [ 11.6500000000000003552713678800500929355621337890625, 11.6500000000000003552713678800500929355621337890625, 11.660000000000000142108547152020037174224853515625, 11.67999999999999971578290569595992565155029296875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -flto -pthread" } } } } }, "af6599136e056cb3603a463b96c4f0dbdda7e8b5": { "identifier": "pts\/lczero-1.6.0", "title": "LeelaChessZero", "app_version": "0.28", "arguments": "-b blas", "description": "Backend: BLAS", "scale": "Nodes Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 9760, "raw_values": [ 9749, 10107, 9467, 9688, 9788 ], "test_run_times": [ 367.19999999999998863131622783839702606201171875, 365.92000000000001591615728102624416351318359375, 364.98000000000001818989403545856475830078125, 368.1000000000000227373675443232059478759765625, 367.6200000000000045474735088646411895751953125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-flto -pthread" } } } } }, "feea16479792868789b2760ab610163aa7a03fbc": { "identifier": "pts\/lczero-1.6.0", "title": "LeelaChessZero", "app_version": "0.28", "arguments": "-b eigen", "description": "Backend: Eigen", "scale": "Nodes Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 11884, "raw_values": [ 11784, 12025, 11843 ], "test_run_times": [ 366.259999999999990905052982270717620849609375, 367.68999999999999772626324556767940521240234375, 367.66000000000002501110429875552654266357421875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-flto -pthread" } } } } }, "5cd4cc1946403d34b0073bdbaa2048d427c13105": { "identifier": "pts\/stockfish-1.4.0", "title": "Stockfish", "app_version": "15", "description": "Total Time", "scale": "Nodes Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 297289892, "raw_values": [ 298525568, 295206762, 298137346 ], "test_run_times": [ 75.3599999999999994315658113919198513031005859375, 69.6299999999999954525264911353588104248046875, 79.400000000000005684341886080801486968994140625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-lgcov -m64 -lpthread -fno-exceptions -std=c++17 -fno-peel-loops -fno-tracer -pedantic -O3 -msse -msse3 -mpopcnt -mavx2 -mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl -msse4.1 -mssse3 -msse2 -mbmi2 -flto -flto=jobserver" } } } } }, "fc8b6de93b7723b344a80057c04367a883bac1ec": { "identifier": "pts\/asmfish-1.1.2", "title": "asmFish", "app_version": "2018-07-23", "description": "1024 Hash Memory, 26 Depth", "scale": "Nodes\/second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 234040870, "raw_values": [ 235681806, 234990593, 231450210 ], "test_run_times": [ 129.8600000000000136424205265939235687255859375, 130.1100000000000136424205265939235687255859375, 119.849999999999994315658113919198513031005859375 ] } } }, "6d4099029e64fee92f7507ca805e1accd0de95d8": { "identifier": "pts\/gromacs-1.8.0", "title": "GROMACS", "app_version": "2023", "arguments": "mpi-build water-cut1.0_GMX50_bare\/1536", "description": "Implementation: MPI CPU - Input: water_GMX50_bare", "scale": "Ns Per Day", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 11.79299999999999926103555480949580669403076171875, "raw_values": [ 11.7720000000000002415845301584340631961822509765625, 11.79599999999999937472239253111183643341064453125, 11.81099999999999994315658113919198513031005859375 ], "test_run_times": [ 25.3599999999999994315658113919198513031005859375, 25.35000000000000142108547152020037174224853515625, 25.3599999999999994315658113919198513031005859375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3" } } } } }, "9f645f31812b139086471c2585aaa8b74e3a52c7": { "identifier": "pts\/lammps-1.4.0", "title": "LAMMPS Molecular Dynamics Simulator", "app_version": "23Jun2022", "arguments": "benchmark_20k_atoms.in", "description": "Model: 20k Atoms", "scale": "ns\/day", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 39.893000000000000682121026329696178436279296875, "raw_values": [ 39.9609999999999985220711096189916133880615234375, 39.9609999999999985220711096189916133880615234375, 39.75800000000000267164068645797669887542724609375 ], "test_run_times": [ 217.06000000000000227373675443232059478759765625, 217.039999999999992041921359486877918243408203125, 218.159999999999996589394868351519107818603515625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -lm -ldl" } } } } }, "4ba06e1a0b64c8c0f4a4cad0e4eacd63a99a7041": { "identifier": "pts\/liquid-dsp-1.6.0", "title": "Liquid-DSP", "app_version": "1.6", "arguments": "-n 64 -b 256 -f 32", "description": "Threads: 64 - Buffer Length: 256 - Filter Length: 32", "scale": "samples\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 2181266667, "raw_values": [ 2181600000, 2182800000, 2179400000 ], "test_run_times": [ 30.050000000000000710542735760100185871124267578125, 30.050000000000000710542735760100185871124267578125, 30.050000000000000710542735760100185871124267578125 ], "details": { "compiler-options": { "compiler-type": "CC", "compiler": "gcc", "compiler-options": "-O3 -pthread -lm -lc -lliquid" } } } } }, "3aecabc01c6da7b07fa8d371c030a823b4b05ff5": { "identifier": "pts\/liquid-dsp-1.6.0", "title": "Liquid-DSP", "app_version": "1.6", "arguments": "-n 64 -b 256 -f 57", "description": "Threads: 64 - Buffer Length: 256 - Filter Length: 57", "scale": "samples\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 2609466667, "raw_values": [ 2626900000, 2587500000, 2614000000 ], "test_run_times": [ 30.059999999999998721023075631819665431976318359375, 30.050000000000000710542735760100185871124267578125, 30.059999999999998721023075631819665431976318359375 ], "details": { "compiler-options": { "compiler-type": "CC", "compiler": "gcc", "compiler-options": "-O3 -pthread -lm -lc -lliquid" } } } } }, "c28d9feb71e7402117bee97e977c20a89e305408": { "identifier": "pts\/liquid-dsp-1.6.0", "title": "Liquid-DSP", "app_version": "1.6", "arguments": "-n 128 -b 256 -f 32", "description": "Threads: 128 - Buffer Length: 256 - Filter Length: 32", "scale": "samples\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 3768733333, "raw_values": [ 3765800000, 3770400000, 3770000000 ], "test_run_times": [ 30.059999999999998721023075631819665431976318359375, 30.059999999999998721023075631819665431976318359375, 30.059999999999998721023075631819665431976318359375 ], "details": { "compiler-options": { "compiler-type": "CC", "compiler": "gcc", "compiler-options": "-O3 -pthread -lm -lc -lliquid" } } } } }, "5658536dc38f18f82eccedd2478d26851ac1afaa": { "identifier": "pts\/liquid-dsp-1.6.0", "title": "Liquid-DSP", "app_version": "1.6", "arguments": "-n 128 -b 256 -f 57", "description": "Threads: 128 - Buffer Length: 256 - Filter Length: 57", "scale": "samples\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 3876733333, "raw_values": [ 3871100000, 3885700000, 3873400000 ], "test_run_times": [ 30.0799999999999982946974341757595539093017578125, 30.0799999999999982946974341757595539093017578125, 30.0799999999999982946974341757595539093017578125 ], "details": { "compiler-options": { "compiler-type": "CC", "compiler": "gcc", "compiler-options": "-O3 -pthread -lm -lc -lliquid" } } } } }, "14674b9ed8e95511073f6dfa9b263ed868786ba3": { "identifier": "pts\/liquid-dsp-1.6.0", "title": "Liquid-DSP", "app_version": "1.6", "arguments": "-n 192 -b 256 -f 32", "description": "Threads: 192 - Buffer Length: 256 - Filter Length: 32", "scale": "samples\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 4958533333, "raw_values": [ 4958500000, 4958200000, 4958900000 ], "test_run_times": [ 30.0799999999999982946974341757595539093017578125, 30.0799999999999982946974341757595539093017578125, 30.0799999999999982946974341757595539093017578125 ], "details": { "compiler-options": { "compiler-type": "CC", "compiler": "gcc", "compiler-options": "-O3 -pthread -lm -lc -lliquid" } } } } }, "90acd5f43f2fe37dcf9fe4abd07cfce60c633672": { "identifier": "pts\/liquid-dsp-1.6.0", "title": "Liquid-DSP", "app_version": "1.6", "arguments": "-n 192 -b 256 -f 57", "description": "Threads: 192 - Buffer Length: 256 - Filter Length: 57", "scale": "samples\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 4634633333, "raw_values": [ 4630600000, 4640500000, 4632800000 ], "test_run_times": [ 30.1099999999999994315658113919198513031005859375, 30.1099999999999994315658113919198513031005859375, 30.1099999999999994315658113919198513031005859375 ], "details": { "compiler-options": { "compiler-type": "CC", "compiler": "gcc", "compiler-options": "-O3 -pthread -lm -lc -lliquid" } } } } }, "eaff32f7726539ae9ccfcb9fc3eb53b0c05e2f73": { "identifier": "pts\/liquid-dsp-1.6.0", "title": "Liquid-DSP", "app_version": "1.6", "arguments": "-n 64 -b 256 -f 512", "description": "Threads: 64 - Buffer Length: 256 - Filter Length: 512", "scale": "samples\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 727523333, "raw_values": [ 727640000, 731270000, 723660000 ], "test_run_times": [ 30.230000000000000426325641456060111522674560546875, 30.21000000000000085265128291212022304534912109375, 30.230000000000000426325641456060111522674560546875 ], "details": { "compiler-options": { "compiler-type": "CC", "compiler": "gcc", "compiler-options": "-O3 -pthread -lm -lc -lliquid" } } } } }, "db1a00017dfe792af99a2597edf7c74edfb483cc": { "identifier": "pts\/liquid-dsp-1.6.0", "title": "Liquid-DSP", "app_version": "1.6", "arguments": "-n 128 -b 256 -f 512", "description": "Threads: 128 - Buffer Length: 256 - Filter Length: 512", "scale": "samples\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 1081100000, "raw_values": [ 1079400000, 1082700000, 1081200000 ], "test_run_times": [ 30.42999999999999971578290569595992565155029296875, 30.379999999999999005240169935859739780426025390625, 30.42999999999999971578290569595992565155029296875 ], "details": { "compiler-options": { "compiler-type": "CC", "compiler": "gcc", "compiler-options": "-O3 -pthread -lm -lc -lliquid" } } } } }, "101436a00d4d6b4dfb8d1ee07dba148468a8cbaf": { "identifier": "pts\/liquid-dsp-1.6.0", "title": "Liquid-DSP", "app_version": "1.6", "arguments": "-n 192 -b 256 -f 512", "description": "Threads: 192 - Buffer Length: 256 - Filter Length: 512", "scale": "samples\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 1287866667, "raw_values": [ 1287600000, 1286700000, 1289300000 ], "test_run_times": [ 30.620000000000000994759830064140260219573974609375, 30.629999999999999005240169935859739780426025390625, 30.629999999999999005240169935859739780426025390625 ], "details": { "compiler-options": { "compiler-type": "CC", "compiler": "gcc", "compiler-options": "-O3 -pthread -lm -lc -lliquid" } } } } }, "12916313a24be49739ae0974e3763b30474b135e": { "identifier": "pts\/numpy-1.2.1", "title": "Numpy Benchmark", "scale": "Score", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 586.5, "raw_values": [ 588.4099999999999681676854379475116729736328125, 585.3300000000000409272615797817707061767578125, 585.759999999999990905052982270717620849609375 ], "test_run_times": [ 154.340000000000003410605131648480892181396484375, 154.270000000000010231815394945442676544189453125, 155.3600000000000136424205265939235687255859375 ] } } }, "5ed437f7c0ad98c5647c03ecbde3826536b1e733": { "identifier": "pts\/kripke-1.2.0", "title": "Kripke", "app_version": "1.2.6", "scale": "Throughput FoM", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "test_run_times": [ 1.6100000000000000976996261670137755572795867919921875, 1.5800000000000000710542735760100185871124267578125, 1.62000000000000010658141036401502788066864013671875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -fopenmp -ldl" }, "error": "The test quit with a non-zero exit status." } } } }, "f064c797101abf4e04a529424171e3fab504ccc5": { "identifier": "pts\/npb-1.4.5", "title": "NAS Parallel Benchmarks", "app_version": "3.4", "arguments": "bt.C", "description": "Test \/ Class: BT.C", "scale": "Total Mop\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 314777.900000000023283064365386962890625, "raw_values": [ 315423.6599999999743886291980743408203125, 308849.599999999976716935634613037109375, 313909.4099999999743886291980743408203125, 317270.5200000000186264514923095703125, 318436.2999999999883584678173065185546875 ], "test_run_times": [ 9.8599999999999994315658113919198513031005859375, 10.1199999999999992184029906638897955417633056640625, 9.910000000000000142108547152020037174224853515625, 9.8300000000000000710542735760100185871124267578125, 9.78999999999999914734871708787977695465087890625 ], "details": { "compiler-options": { "compiler-type": "F9X", "compiler": "gfortran", "compiler-options": "-O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz" }, "install-footnote": "Open MPI 4.1.2" } } } }, "c8f192a50d81e6d02b8d517c44e8ba17bf32f67a": { "identifier": "pts\/npb-1.4.5", "title": "NAS Parallel Benchmarks", "app_version": "3.4", "arguments": "cg.C", "description": "Test \/ Class: CG.C", "scale": "Total Mop\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 59737.9400000000023283064365386962890625, "raw_values": [ 62290.52999999999883584678173065185546875, 57728.9899999999979627318680286407470703125, 60437.1800000000002910383045673370361328125, 57373.27999999999883584678173065185546875, 60094.77999999999883584678173065185546875, 59738.0400000000008731149137020111083984375, 58814.16000000000349245965480804443359375, 61073.080000000001746229827404022216796875, 59454.2300000000032014213502407073974609375, 60375.139999999999417923390865325927734375 ], "test_run_times": [ 3.04999999999999982236431605997495353221893310546875, 3.2400000000000002131628207280300557613372802734375, 3.1699999999999999289457264239899814128875732421875, 3.2599999999999997868371792719699442386627197265625, 3.20000000000000017763568394002504646778106689453125, 3.189999999999999946709294817992486059665679931640625, 3.20000000000000017763568394002504646778106689453125, 3.109999999999999875655021241982467472553253173828125, 3.20999999999999996447286321199499070644378662109375, 3.140000000000000124344978758017532527446746826171875 ], "details": { "compiler-options": { "compiler-type": "F9X", "compiler": "gfortran", "compiler-options": "-O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz" }, "install-footnote": "Open MPI 4.1.2" } } } }, "0cec26a5393160ef8243b95e52be31c3659d5aed": { "identifier": "pts\/npb-1.4.5", "title": "NAS Parallel Benchmarks", "app_version": "3.4", "arguments": "ep.D", "description": "Test \/ Class: EP.D", "scale": "Total Mop\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 10697.899999999999636202119290828704833984375, "raw_values": [ 10753.600000000000363797880709171295166015625, 10578.100000000000363797880709171295166015625, 10717.7099999999991268850862979888916015625, 10742.20000000000072759576141834259033203125 ], "test_run_times": [ 13.4399999999999995026200849679298698902130126953125, 13.67999999999999971578290569595992565155029296875, 13.53999999999999914734871708787977695465087890625, 13.5099999999999997868371792719699442386627197265625 ], "details": { "compiler-options": { "compiler-type": "F9X", "compiler": "gfortran", "compiler-options": "-O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz" }, "install-footnote": "Open MPI 4.1.2" } } } }, "7347403bed6650f7252155cf23f1bfe7a74538dc": { "identifier": "pts\/npb-1.4.5", "title": "NAS Parallel Benchmarks", "app_version": "3.4", "arguments": "ft.C", "description": "Test \/ Class: FT.C", "scale": "Total Mop\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 118831.889999999999417923390865325927734375, "raw_values": [ 119030.919999999998253770172595977783203125, 118856.199999999997089616954326629638671875, 118473.91000000000349245965480804443359375, 119474.5700000000069849193096160888671875, 118229.66000000000349245965480804443359375, 120551.5, 117367.449999999997089616954326629638671875, 118670.91000000000349245965480804443359375 ], "test_run_times": [ 4.29999999999999982236431605997495353221893310546875, 4.29999999999999982236431605997495353221893310546875, 4.29999999999999982236431605997495353221893310546875, 4.3300000000000000710542735760100185871124267578125, 4.28000000000000024868995751603506505489349365234375, 4.28000000000000024868995751603506505489349365234375, 4.410000000000000142108547152020037174224853515625, 4.29000000000000003552713678800500929355621337890625 ], "details": { "compiler-options": { "compiler-type": "F9X", "compiler": "gfortran", "compiler-options": "-O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz" }, "install-footnote": "Open MPI 4.1.2" } } } }, "fd0a014e4a2f1b3b12c87db47835481940aa676a": { "identifier": "pts\/npb-1.4.5", "title": "NAS Parallel Benchmarks", "app_version": "3.4", "arguments": "is.D", "description": "Test \/ Class: IS.D", "scale": "Total Mop\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 5696.510000000000218278728425502777099609375, "raw_values": [ 5637.510000000000218278728425502777099609375, 5762.1199999999998908606357872486114501953125, 5753.0600000000004001776687800884246826171875, 5712.4300000000002910383045673370361328125, 5617.4499999999998181010596454143524169921875 ], "test_run_times": [ 8.5299999999999993605115378159098327159881591796875, 8.449999999999999289457264239899814128875732421875, 8.519999999999999573674358543939888477325439453125, 8.53999999999999914734871708787977695465087890625, 8.6199999999999992184029906638897955417633056640625 ], "details": { "compiler-options": { "compiler-type": "F9X", "compiler": "gfortran", "compiler-options": "-O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz" }, "install-footnote": "Open MPI 4.1.2" } } } }, "ba3f658ca7dab1f564799cc79064b873d78a8ec8": { "identifier": "pts\/npb-1.4.5", "title": "NAS Parallel Benchmarks", "app_version": "3.4", "arguments": "lu.C", "description": "Test \/ Class: LU.C", "scale": "Total Mop\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 337910.640000000013969838619232177734375, "raw_values": [ 337695.98999999999068677425384521484375, 334483.900000000023283064365386962890625, 339207.51000000000931322574615478515625, 338795.5499999999883584678173065185546875, 343221.7100000000209547579288482666015625, 334059.1599999999743886291980743408203125 ], "test_run_times": [ 6.7400000000000002131628207280300557613372802734375, 6.78000000000000024868995751603506505489349365234375, 6.69000000000000039079850466805510222911834716796875, 6.69000000000000039079850466805510222911834716796875, 6.5999999999999996447286321199499070644378662109375, 6.769999999999999573674358543939888477325439453125 ], "details": { "compiler-options": { "compiler-type": "F9X", "compiler": "gfortran", "compiler-options": "-O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz" }, "install-footnote": "Open MPI 4.1.2" } } } }, "70c1e63a5270f3ae72dd5303c66fac6834a735e4": { "identifier": "pts\/npb-1.4.5", "title": "NAS Parallel Benchmarks", "app_version": "3.4", "arguments": "mg.C", "description": "Test \/ Class: MG.C", "scale": "Total Mop\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 137308.26999999998952262103557586669921875, "raw_values": [ 134892.89999999999417923390865325927734375, 141586.359999999986030161380767822265625, 139919.17000000001280568540096282958984375, 148883.33999999999650754034519195556640625, 138672.52999999999883584678173065185546875, 132148.07999999998719431459903717041015625, 142822.26000000000931322574615478515625, 144395.23999999999068677425384521484375, 141918.45999999999185092747211456298828125, 136487.390000000013969838619232177734375, 129491.58999999999650754034519195556640625, 137809.130000000004656612873077392578125, 133484.57999999998719431459903717041015625, 132617.6900000000023283064365386962890625, 124495.380000000004656612873077392578125 ], "test_run_times": [ 1.95999999999999996447286321199499070644378662109375, 1.939999999999999946709294817992486059665679931640625, 1.9499999999999999555910790149937383830547332763671875, 1.850000000000000088817841970012523233890533447265625, 1.9299999999999999378275106209912337362766265869140625, 2.020000000000000017763568394002504646778106689453125, 1.939999999999999946709294817992486059665679931640625, 1.9299999999999999378275106209912337362766265869140625, 1.939999999999999946709294817992486059665679931640625, 1.979999999999999982236431605997495353221893310546875, 2.04999999999999982236431605997495353221893310546875, 1.9499999999999999555910790149937383830547332763671875, 1.95999999999999996447286321199499070644378662109375, 1.979999999999999982236431605997495353221893310546875, 2.100000000000000088817841970012523233890533447265625 ], "details": { "compiler-options": { "compiler-type": "F9X", "compiler": "gfortran", "compiler-options": "-O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz" }, "install-footnote": "Open MPI 4.1.2" } } } }, "2b2af4e2c32516d71a77a5a9539bed60079cff2a": { "identifier": "pts\/npb-1.4.5", "title": "NAS Parallel Benchmarks", "app_version": "3.4", "arguments": "sp.C", "description": "Test \/ Class: SP.C", "scale": "Total Mop\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 207614.7000000000116415321826934814453125, "raw_values": [ 204859.70999999999185092747211456298828125, 212234.42000000001280568540096282958984375, 205759.45999999999185092747211456298828125, 202806.89999999999417923390865325927734375, 207854.109999999986030161380767822265625, 212173.609999999986030161380767822265625 ], "test_run_times": [ 7.79999999999999982236431605997495353221893310546875, 7.57000000000000028421709430404007434844970703125, 7.7599999999999997868371792719699442386627197265625, 7.94000000000000039079850466805510222911834716796875, 7.7400000000000002131628207280300557613372802734375, 7.55999999999999960920149533194489777088165283203125 ], "details": { "compiler-options": { "compiler-type": "F9X", "compiler": "gfortran", "compiler-options": "-O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz" }, "install-footnote": "Open MPI 4.1.2" } } } }, "8ee4e11d08ab2343f788f516c90f1ff18011b3ae": { "identifier": "pts\/lulesh-1.1.1", "title": "LULESH", "app_version": "2.0.3", "scale": "z\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 30715.3280000000013387762010097503662109375, "raw_values": [ 30272.23800000000119325704872608184814453125, 31134.39500000000043655745685100555419921875, 30606.11500000000160071067512035369873046875, 30848.563999999998486600816249847412109375 ], "test_run_times": [ 15.4199999999999999289457264239899814128875732421875, 15.03999999999999914734871708787977695465087890625, 15.3100000000000004973799150320701301097869873046875, 15.1899999999999995026200849679298698902130126953125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -fopenmp -lm -lmpi_cxx -lmpi" } } } } }, "f0551be1b7bac9af382e7b7aa818d1816c616fe6": { "identifier": "pts\/namd-1.2.1", "title": "NAMD", "app_version": "2.14", "description": "ATPase Simulation - 327,506 Atoms", "scale": "days\/ns", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 0.247329999999999994297894545525196008384227752685546875, "raw_values": [ 0.2475449999999999872724032456972054205834865570068359375, 0.2478829999999999922355442549815052188932895660400390625, 0.246562000000000003385736135896877385675907135009765625 ], "test_run_times": [ 54.92999999999999971578290569595992565155029296875, 15.5999999999999996447286321199499070644378662109375, 15.53999999999999914734871708787977695465087890625 ] } } }, "da2e0f2d117fb6b94c21346b54716bb318cb265b": { "identifier": "pts\/ospray-studio-1.1.0", "title": "OSPRay Studio", "app_version": "0.11", "arguments": "--cameras 1 1 --resolution 3840 2160 --spp 1 --renderer pathtracer", "description": "Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 1059, "raw_values": [ 1057, 1059, 1061 ], "test_run_times": [ 111.5799999999999982946974341757595539093017578125, 111.1700000000000017053025658242404460906982421875, 110.7900000000000062527760746888816356658935546875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -lm -ldl" } } } } }, "ae691728b90f6e15ad0aa0302fa3d2a00dd629bf": { "identifier": "pts\/ospray-studio-1.1.0", "title": "OSPRay Studio", "app_version": "0.11", "arguments": "--cameras 2 2 --resolution 3840 2160 --spp 1 --renderer pathtracer", "description": "Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 1065, "raw_values": [ 1063, 1070, 1063 ], "test_run_times": [ 112.06000000000000227373675443232059478759765625, 111.469999999999998863131622783839702606201171875, 111.7099999999999937472239253111183643341064453125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -lm -ldl" } } } } }, "e1a8ca9bcd71804ccb525395a8592a11924d1abb": { "identifier": "pts\/ospray-studio-1.1.0", "title": "OSPRay Studio", "app_version": "0.11", "arguments": "--cameras 3 3 --resolution 3840 2160 --spp 1 --renderer pathtracer", "description": "Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 1261, "raw_values": [ 1261, 1260, 1261 ], "test_run_times": [ 114.7699999999999960209606797434389591217041015625, 113.43000000000000682121026329696178436279296875, 114.6400000000000005684341886080801486968994140625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -lm -ldl" } } } } }, "cb53068dc64d8439538e0602304fdebfa9ecb59b": { "identifier": "pts\/ospray-studio-1.1.0", "title": "OSPRay Studio", "app_version": "0.11", "arguments": "--cameras 1 1 --resolution 3840 2160 --spp 16 --renderer pathtracer", "description": "Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 16953, "raw_values": [ 16956, 16864, 17038 ], "test_run_times": [ 97.5, 97.31000000000000227373675443232059478759765625, 97.840000000000003410605131648480892181396484375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -lm -ldl" } } } } }, "8169695515381db2677938481212af3c51f22785": { "identifier": "pts\/ospray-studio-1.1.0", "title": "OSPRay Studio", "app_version": "0.11", "arguments": "--cameras 1 1 --resolution 3840 2160 --spp 32 --renderer pathtracer", "description": "Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 34007, "raw_values": [ 33962, 34029, 34031 ], "test_run_times": [ 114.68000000000000682121026329696178436279296875, 115.0499999999999971578290569595992565155029296875, 114.659999999999996589394868351519107818603515625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -lm -ldl" } } } } }, "49cc9568eafb604cff8302249c82b753a729fafc": { "identifier": "pts\/ospray-studio-1.1.0", "title": "OSPRay Studio", "app_version": "0.11", "arguments": "--cameras 2 2 --resolution 3840 2160 --spp 16 --renderer pathtracer", "description": "Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 17078, "raw_values": [ 17071, 17073, 17090 ], "test_run_times": [ 98.5499999999999971578290569595992565155029296875, 98.56999999999999317878973670303821563720703125, 98.6700000000000017053025658242404460906982421875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -lm -ldl" } } } } }, "8f6985a5d16b5635271ec61ef9dcc526e8b31e63": { "identifier": "pts\/ospray-studio-1.1.0", "title": "OSPRay Studio", "app_version": "0.11", "arguments": "--cameras 2 2 --resolution 3840 2160 --spp 32 --renderer pathtracer", "description": "Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 34341, "raw_values": [ 34242, 34366, 34415 ], "test_run_times": [ 115.2999999999999971578290569595992565155029296875, 115.4800000000000039790393202565610408782958984375, 115.81000000000000227373675443232059478759765625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -lm -ldl" } } } } }, "100af841d4be7b4bef6c2d40053fa908a5756cf2": { "identifier": "pts\/ospray-studio-1.1.0", "title": "OSPRay Studio", "app_version": "0.11", "arguments": "--cameras 3 3 --resolution 3840 2160 --spp 16 --renderer pathtracer", "description": "Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 20223, "raw_values": [ 20273, 20122, 20275 ], "test_run_times": [ 94.2900000000000062527760746888816356658935546875, 93.2000000000000028421709430404007434844970703125, 94.2099999999999937472239253111183643341064453125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -lm -ldl" } } } } }, "89642ca95004441cf63e8f646da7a7f00f541466": { "identifier": "pts\/ospray-studio-1.1.0", "title": "OSPRay Studio", "app_version": "0.11", "arguments": "--cameras 3 3 --resolution 3840 2160 --spp 32 --renderer pathtracer", "description": "Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 40392, "raw_values": [ 40382, 40471, 40323 ], "test_run_times": [ 134.1200000000000045474735088646411895751953125, 133.719999999999998863131622783839702606201171875, 134.479999999999989768184605054557323455810546875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -lm -ldl" } } } } }, "f6124ad8f9966a9fca6124ac8f3ce8e74420f735": { "identifier": "pts\/draco-1.6.0", "title": "Google Draco", "app_version": "1.5.6", "arguments": "-i lion.ply", "description": "Model: Lion", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 5011, "raw_values": [ 5006, 5018, 5010, 4996, 5010, 5018, 5016 ], "test_run_times": [ 6.21999999999999975131004248396493494510650634765625, 6.2400000000000002131628207280300557613372802734375, 6.230000000000000426325641456060111522674560546875, 6.20999999999999996447286321199499070644378662109375, 6.230000000000000426325641456060111522674560546875, 6.2400000000000002131628207280300557613372802734375, 6.230000000000000426325641456060111522674560546875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3" } } } } }, "c2182c1656777f7fc05206b18918c42e97f0d45b": { "identifier": "pts\/draco-1.6.0", "title": "Google Draco", "app_version": "1.5.6", "arguments": "-i church.ply", "description": "Model: Church Facade", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 6043, "raw_values": [ 6037, 6051, 6030, 6053, 6051, 6038 ], "test_run_times": [ 7.230000000000000426325641456060111522674560546875, 7.25, 7.230000000000000426325641456060111522674560546875, 7.2599999999999997868371792719699442386627197265625, 7.2599999999999997868371792719699442386627197265625, 7.2400000000000002131628207280300557613372802734375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3" } } } } }, "451a25f7bb6e4b740d602701070fc626f3adc155": { "identifier": "pts\/openvino-1.2.0", "title": "OpenVINO", "app_version": "2022.3", "arguments": "-m models\/intel\/face-detection-0206\/FP16\/face-detection-0206.xml -d CPU", "description": "Model: Face Detection FP16 - Device: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 1003.509999999999990905052982270717620849609375, "raw_values": [ 1002.80999999999994543031789362430572509765625, 1003.94000000000005456968210637569427490234375, 1003.779999999999972715158946812152862548828125 ], "min_result": [ "498.16" ], "max_result": [ "1059.95" ], "test_run_times": [ 65.18999999999999772626324556767940521240234375, 65.06999999999999317878973670303821563720703125, 64.9899999999999948840923025272786617279052734375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF" } } } } }, "8e49dbfd0edfba9293d0b344ceb30be56239bfc3": { "identifier": "pts\/openvino-1.2.0", "title": "OpenVINO", "app_version": "2022.3", "arguments": "-m models\/intel\/person-detection-0106\/FP16\/person-detection-0106.xml -d CPU", "description": "Model: Person Detection FP16 - Device: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 1753.6300000000001091393642127513885498046875, "raw_values": [ 1745.5, 1761.579999999999927240423858165740966796875, 1753.799999999999954525264911353588104248046875 ], "min_result": [ "955.99" ], "max_result": [ "2502.09" ], "test_run_times": [ 65.5499999999999971578290569595992565155029296875, 66.3599999999999994315658113919198513031005859375, 66.0100000000000051159076974727213382720947265625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF" } } } } }, "5f12cacdbe3f6a48b49a6a3d34fe1eff085ba5bb": { "identifier": "pts\/openvino-1.2.0", "title": "OpenVINO", "app_version": "2022.3", "arguments": "-m models\/intel\/person-detection-0106\/FP32\/person-detection-0106.xml -d CPU", "description": "Model: Person Detection FP32 - Device: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 1766.5399999999999636202119290828704833984375, "raw_values": [ 1778.0399999999999636202119290828704833984375, 1766.7100000000000363797880709171295166015625, 1754.8800000000001091393642127513885498046875 ], "min_result": [ "966.02" ], "max_result": [ "2507.19" ], "test_run_times": [ 66.8900000000000005684341886080801486968994140625, 66.159999999999996589394868351519107818603515625, 65.9599999999999937472239253111183643341064453125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF" } } } } }, "298939e4c2a6078157af450b90028818254fef5d": { "identifier": "pts\/openvino-1.2.0", "title": "OpenVINO", "app_version": "2022.3", "arguments": "-m models\/intel\/vehicle-detection-0202\/FP16\/vehicle-detection-0202.xml -d CPU", "description": "Model: Vehicle Detection FP16 - Device: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 12.4199999999999999289457264239899814128875732421875, "raw_values": [ 12.4199999999999999289457264239899814128875732421875, 12.4199999999999999289457264239899814128875732421875, 12.4199999999999999289457264239899814128875732421875 ], "min_result": [ "5.8" ], "max_result": [ "47.23" ], "test_run_times": [ 60.7000000000000028421709430404007434844970703125, 60.71000000000000085265128291212022304534912109375, 60.7000000000000028421709430404007434844970703125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF" } } } } }, "61b589db5aad42010567809d699fd1abd0e1a9bf": { "identifier": "pts\/openvino-1.2.0", "title": "OpenVINO", "app_version": "2022.3", "arguments": "-m models\/intel\/face-detection-0206\/FP16-INT8\/face-detection-0206.xml -d CPU", "description": "Model: Face Detection FP16-INT8 - Device: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 529.6799999999999499777914024889469146728515625, "raw_values": [ 529.6299999999999954525264911353588104248046875, 529.76999999999998181010596454143524169921875, 529.6399999999999863575794734060764312744140625 ], "min_result": [ "257.02" ], "max_result": [ "560.93" ], "test_run_times": [ 64.6400000000000005684341886080801486968994140625, 64.6299999999999954525264911353588104248046875, 64.6200000000000045474735088646411895751953125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF" } } } } }, "d0ff35e66c189f71866116a914ff556cedc2c3ae": { "identifier": "pts\/openvino-1.2.0", "title": "OpenVINO", "app_version": "2022.3", "arguments": "-m models\/intel\/vehicle-detection-0202\/FP16-INT8\/vehicle-detection-0202.xml -d CPU", "description": "Model: Vehicle Detection FP16-INT8 - Device: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 8.449999999999999289457264239899814128875732421875, "raw_values": [ 8.449999999999999289457264239899814128875732421875, 8.449999999999999289457264239899814128875732421875, 8.449999999999999289457264239899814128875732421875 ], "min_result": [ "4.5" ], "max_result": [ "30.54" ], "test_run_times": [ 60.840000000000003410605131648480892181396484375, 60.8299999999999982946974341757595539093017578125, 60.8299999999999982946974341757595539093017578125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF" } } } } }, "f76ba92b7fcbf2624e0223efd2b8d456ed107108": { "identifier": "pts\/openvino-1.2.0", "title": "OpenVINO", "app_version": "2022.3", "arguments": "-m models\/intel\/weld-porosity-detection-0001\/FP16\/weld-porosity-detection-0001.xml -d CPU", "description": "Model: Weld Porosity Detection FP16 - Device: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 10.2799999999999993605115378159098327159881591796875, "raw_values": [ 10.2799999999999993605115378159098327159881591796875, 10.2799999999999993605115378159098327159881591796875, 10.2799999999999993605115378159098327159881591796875 ], "min_result": [ "5.38" ], "max_result": [ "28.56" ], "test_run_times": [ 60.43999999999999772626324556767940521240234375, 60.43999999999999772626324556767940521240234375, 60.4500000000000028421709430404007434844970703125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF" } } } } }, "b3a8131fefe6128aa91a19d21376c4b9dbe300bf": { "identifier": "pts\/openvino-1.2.0", "title": "OpenVINO", "app_version": "2022.3", "arguments": "-m models\/intel\/machine-translation-nar-en-de-0002\/FP16\/machine-translation-nar-en-de-0002.xml -d CPU", "description": "Model: Machine Translation EN To DE FP16 - Device: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 89.5, "raw_values": [ 89.2999999999999971578290569595992565155029296875, 89.68999999999999772626324556767940521240234375, 89.5 ], "min_result": [ "39.21" ], "max_result": [ "143.98" ], "test_run_times": [ 61.8299999999999982946974341757595539093017578125, 61.7999999999999971578290569595992565155029296875, 61.75999999999999801048033987171947956085205078125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF" } } } } }, "9fb2dbd336b6ecf44756df5e51a5e021c87b0a75": { "identifier": "pts\/openvino-1.2.0", "title": "OpenVINO", "app_version": "2022.3", "arguments": "-m models\/intel\/weld-porosity-detection-0001\/FP16-INT8\/weld-porosity-detection-0001.xml -d CPU", "description": "Model: Weld Porosity Detection FP16-INT8 - Device: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 10.839999999999999857891452847979962825775146484375, "raw_values": [ 10.839999999999999857891452847979962825775146484375, 10.839999999999999857891452847979962825775146484375, 10.839999999999999857891452847979962825775146484375 ], "min_result": [ "5.62" ], "max_result": [ "24.41" ], "test_run_times": [ 60.719999999999998863131622783839702606201171875, 60.7000000000000028421709430404007434844970703125, 60.71000000000000085265128291212022304534912109375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF" } } } } }, "837eb56d12e5c5271e059c1a290c3be29289be36": { "identifier": "pts\/openvino-1.2.0", "title": "OpenVINO", "app_version": "2022.3", "arguments": "-m models\/intel\/person-vehicle-bike-detection-2004\/FP16\/person-vehicle-bike-detection-2004.xml -d CPU", "description": "Model: Person Vehicle Bike Detection FP16 - Device: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 8.3599999999999994315658113919198513031005859375, "raw_values": [ 8.3599999999999994315658113919198513031005859375, 8.3699999999999992184029906638897955417633056640625, 8.3599999999999994315658113919198513031005859375 ], "min_result": [ "4.99" ], "max_result": [ "31.02" ], "test_run_times": [ 62, 61.99000000000000198951966012828052043914794921875, 61.99000000000000198951966012828052043914794921875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF" } } } } }, "15de2c35a1fa2ef31cca8fa03dd9423a2a25b8ce": { "identifier": "pts\/openvino-1.2.0", "title": "OpenVINO", "app_version": "2022.3", "arguments": "-m models\/intel\/age-gender-recognition-retail-0013\/FP16\/age-gender-recognition-retail-0013.xml -d CPU", "description": "Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 0.83999999999999996891375531049561686813831329345703125, "raw_values": [ 0.83999999999999996891375531049561686813831329345703125, 0.83999999999999996891375531049561686813831329345703125, 0.83999999999999996891375531049561686813831329345703125 ], "min_result": [ "0.3" ], "max_result": [ "12.71" ], "test_run_times": [ 60.840000000000003410605131648480892181396484375, 60.85000000000000142108547152020037174224853515625, 60.840000000000003410605131648480892181396484375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF" } } } } }, "73a4f017a448c8d2e4e528576fe7f0a74f31bdf1": { "identifier": "pts\/openvino-1.2.0", "title": "OpenVINO", "app_version": "2022.3", "arguments": "-m models\/intel\/age-gender-recognition-retail-0013\/FP16-INT8\/age-gender-recognition-retail-0013.xml -d CPU", "description": "Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 1.3300000000000000710542735760100185871124267578125, "raw_values": [ 1.3300000000000000710542735760100185871124267578125, 1.3300000000000000710542735760100185871124267578125, 1.3200000000000000621724893790087662637233734130859375 ], "min_result": [ "0.47" ], "max_result": [ "14.67" ], "test_run_times": [ 60.75, 60.75, 60.75 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF" } } } } }, "132dca3d993c38d5a37de8fc72f4591ac7eb1ddd": { "identifier": "pts\/deepsparse-1.5.0", "title": "Neural Magic DeepSparse", "app_version": "1.5", "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": { "Default": { "value": 783.5757999999999583451426587998867034912109375, "raw_values": [ 785.1588000000000420186552219092845916748046875, 785.7377000000000180079950951039791107177734375, 779.8310000000000172803993336856365203857421875 ], "test_run_times": [ 49.57000000000000028421709430404007434844970703125, 49.3299999999999982946974341757595539093017578125, 49.24000000000000198951966012828052043914794921875 ] } } }, "e98d7f3e55dd7556d5a7e285d585b1f332155a2c": { "identifier": "pts\/deepsparse-1.5.0", "title": "Neural Magic DeepSparse", "app_version": "1.5", "arguments": "zoo:nlp\/sentiment_analysis\/bert-base\/pytorch\/huggingface\/sst2\/12layer_pruned90-none --scenario async", "description": "Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream", "scale": "ms\/batch", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 39.30749999999999744204615126363933086395263671875, "raw_values": [ 39.3147000000000019781509763561189174652099609375, 39.3558000000000021145751816220581531524658203125, 39.25200000000000244426701101474463939666748046875 ], "test_run_times": [ 43.0499999999999971578290569595992565155029296875, 42.77000000000000312638803734444081783294677734375, 42.75 ] } } }, "de579f577d229f0340544ebabc145df4a03b1185": { "identifier": "pts\/deepsparse-1.5.0", "title": "Neural Magic DeepSparse", "app_version": "1.5", "arguments": "zoo:nlp\/question_answering\/bert-base\/pytorch\/huggingface\/squad\/12layer_pruned90-none --scenario async", "description": "Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream", "scale": "ms\/batch", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 145.0543999999999869032762944698333740234375, "raw_values": [ 145.18639999999999190549715422093868255615234375, 144.947800000000000864019966684281826019287109375, 145.02899999999999636202119290828704833984375 ], "test_run_times": [ 44.39999999999999857891452847979962825775146484375, 44.2999999999999971578290569595992565155029296875, 44.219999999999998863131622783839702606201171875 ] } } }, "4eaee16613e7ebe05edc8651c848b583666fb211": { "identifier": "pts\/deepsparse-1.5.0", "title": "Neural Magic DeepSparse", "app_version": "1.5", "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": { "Default": { "value": 139.015700000000009595169103704392910003662109375, "raw_values": [ 139.001800000000002910383045673370361328125, 139.241800000000012005330063402652740478515625, 138.803500000000013869794202037155628204345703125 ], "test_run_times": [ 38.17999999999999971578290569595992565155029296875, 38.42999999999999971578290569595992565155029296875, 38.25999999999999801048033987171947956085205078125 ] } } }, "a206800656ca18c80dcdf9fcf46e5a86b142079b": { "identifier": "pts\/deepsparse-1.5.0", "title": "Neural Magic DeepSparse", "app_version": "1.5", "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": { "Default": { "value": 60.0636999999999972033037920482456684112548828125, "raw_values": [ 60.11540000000000105728759081102907657623291015625, 60.02720000000000055706550483591854572296142578125, 60.0484000000000008867573342286050319671630859375 ], "test_run_times": [ 37.75999999999999801048033987171947956085205078125, 42.5799999999999982946974341757595539093017578125, 37.61999999999999744204615126363933086395263671875 ] } } }, "3fe07981233683701958382bf8ad2a4f73d4b77e": { "identifier": "pts\/deepsparse-1.5.0", "title": "Neural Magic DeepSparse", "app_version": "1.5", "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": { "Default": { "value": 93.3229000000000041836756281554698944091796875, "raw_values": [ 93.35980000000000700310920365154743194580078125, 93.2870999999999952478901832364499568939208984375, 93.321899999999999408828443847596645355224609375 ], "test_run_times": [ 39.8299999999999982946974341757595539093017578125, 39.57000000000000028421709430404007434844970703125, 39.75999999999999801048033987171947956085205078125 ] } } }, "69f7a9e17c576c747b057ded335a977ba6460c5f": { "identifier": "pts\/deepsparse-1.5.0", "title": "Neural Magic DeepSparse", "app_version": "1.5", "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": { "Default": { "value": 417.85840000000001737134880386292934417724609375, "raw_values": [ 418.49979999999999336068867705762386322021484375, 417.76600000000001955413608811795711517333984375, 417.3093999999999823558027856051921844482421875 ], "test_run_times": [ 51.27000000000000312638803734444081783294677734375, 51.22999999999999687361196265555918216705322265625, 51.36999999999999744204615126363933086395263671875 ] } } }, "d31524f6194cfdf8c23837e5d8ab99bb92fe55ea": { "identifier": "pts\/deepsparse-1.5.0", "title": "Neural Magic DeepSparse", "app_version": "1.5", "arguments": "zoo:nlp\/text_classification\/bert-base\/pytorch\/huggingface\/sst2\/base-none --scenario async", "description": "Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream", "scale": "ms\/batch", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 185.850599999999985811882652342319488525390625, "raw_values": [ 185.84399999999999408828443847596645355224609375, 185.9261999999999943611328490078449249267578125, 185.781599999999997407940099947154521942138671875 ], "test_run_times": [ 47.97999999999999687361196265555918216705322265625, 47.89999999999999857891452847979962825775146484375, 47.89999999999999857891452847979962825775146484375 ] } } }, "85372d2cddb591feb38946fd4fac427c4412616c": { "identifier": "pts\/deepsparse-1.5.0", "title": "Neural Magic DeepSparse", "app_version": "1.5", "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": { "Default": { "value": 785.2122000000000525687937624752521514892578125, "raw_values": [ 785.4842999999999619831214658915996551513671875, 784.944799999999986539478413760662078857421875, 785.207599999999956708052195608615875244140625 ], "test_run_times": [ 49.35000000000000142108547152020037174224853515625, 49.39999999999999857891452847979962825775146484375, 49.17999999999999971578290569595992565155029296875 ] } } }, "68b49514e9090ad994857bb83dfc42cdd4f59af2": { "identifier": "pts\/cloverleaf-1.1.0", "title": "CloverLeaf", "description": "Lagrangian-Eulerian Hydrodynamics", "scale": "Seconds", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 10.28999999999999914734871708787977695465087890625, "raw_values": [ 10.2588200569150007623875353601761162281036376953125, 10.1810259819029997885309057892300188541412353515625, 10.365280151366999206175023573450744152069091796875, 10.386933088302999550478489254601299762725830078125, 10.276291847229000353536321199499070644378662109375 ], "test_run_times": [ 10.28999999999999914734871708787977695465087890625, 10.2200000000000006394884621840901672840118408203125, 10.4000000000000003552713678800500929355621337890625, 10.4199999999999999289457264239899814128875732421875, 10.3100000000000004973799150320701301097869873046875 ], "details": { "compiler-options": { "compiler-type": "F9X", "compiler": "gfortran", "compiler-options": "-O3 -march=native -funroll-loops -fopenmp" } } } } }, "d6955f143408caaac163925a8d62308dcb631951": { "identifier": "pts\/incompact3d-2.0.2", "title": "Xcompact3d Incompact3d", "app_version": "2021-03-11", "arguments": "input_129_nodes.i3d", "description": "Input: input.i3d 129 Cells Per Direction", "scale": "Seconds", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 2.17521612999999991444610714097507297992706298828125, "raw_values": [ 2.281465049999999994412291925982572138309478759765625, 2.11254310999999983522457114304415881633758544921875, 2.027106049999999992650145941297523677349090576171875, 2.017741920000000188650801646872423589229583740234375, 1.9627189599999999014556806287146173417568206787109375, 2.29640293000000017542561181471683084964752197265625, 2.322215079999999876037009016727097332477569580078125, 2.3686060900000001083753886632621288299560546875, 1.877064939999999904074456935632042586803436279296875, 2.259778020000000164912989930598996579647064208984375, 2.39050387999999980337406668695621192455291748046875, 2.143388030000000110675273390370421111583709716796875, 2.111479999999999801474359628628008067607879638671875, 2.366705889999999978812184053822420537471771240234375, 2.090522050000000131575461637112312018871307373046875 ], "test_run_times": [ 2.970000000000000195399252334027551114559173583984375, 2.79000000000000003552713678800500929355621337890625, 2.720000000000000195399252334027551114559173583984375, 2.7599999999999997868371792719699442386627197265625, 2.70000000000000017763568394002504646778106689453125, 3.04999999999999982236431605997495353221893310546875, 3.069999999999999840127884453977458178997039794921875, 3.060000000000000053290705182007513940334320068359375, 2.680000000000000159872115546022541821002960205078125, 3.029999999999999804600747665972448885440826416015625, 3.180000000000000159872115546022541821002960205078125, 2.87000000000000010658141036401502788066864013671875, 2.899999999999999911182158029987476766109466552734375, 3.140000000000000124344978758017532527446746826171875, 2.770000000000000017763568394002504646778106689453125 ], "details": { "compiler-options": { "compiler-type": "F9X", "compiler": "gfortran", "compiler-options": "-cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz" } } } } }, "9e1e570761b20ecb53d8e74e14a11779dfa61f94": { "identifier": "pts\/incompact3d-2.0.2", "title": "Xcompact3d Incompact3d", "app_version": "2021-03-11", "arguments": "input_193_nodes.i3d", "description": "Input: input.i3d 193 Cells Per Direction", "scale": "Seconds", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 7.68528681000000002399019649601541459560394287109375, "raw_values": [ 7.60852813999999977312427290598861873149871826171875, 7.58563899999999957657337290584109723567962646484375, 7.603098870000000175650711753405630588531494140625, 7.68593692999999955617340674507431685924530029296875, 7.94323111000000015025079846964217722415924072265625 ], "test_run_times": [ 8.42999999999999971578290569595992565155029296875, 8.46000000000000085265128291212022304534912109375, 8.42999999999999971578290569595992565155029296875, 8.5299999999999993605115378159098327159881591796875, 8.7599999999999997868371792719699442386627197265625 ], "details": { "compiler-options": { "compiler-type": "F9X", "compiler": "gfortran", "compiler-options": "-cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz" } } } } }, "d5b38cf9e36679a04b1e40c6637143d773c06f2b": { "identifier": "pts\/mocassin-1.1.0", "title": "Monte Carlo Simulations of Ionised Nebulae", "app_version": "2.02.73.3", "arguments": "gas\/HII40", "description": "Input: Gas HII40", "scale": "Seconds", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 13.2780000000000004689582056016661226749420166015625, "raw_values": [ 13.3149999999999995026200849679298698902130126953125, 13.3010000000000001563194018672220408916473388671875, 13.3040000000000002700062395888380706310272216796875, 13.1910000000000007247535904753021895885467529296875 ], "test_run_times": [ 13.32000000000000028421709430404007434844970703125, 13.300000000000000710542735760100185871124267578125, 13.300000000000000710542735760100185871124267578125, 13.1899999999999995026200849679298698902130126953125 ], "details": { "compiler-options": { "compiler-type": "F9X", "compiler": "gfortran", "compiler-options": "-cpp -Jsource\/ -ffree-line-length-0 -lm -std=legacy -O2 -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lz" } } } } }, "08fb74ee41b507613336fb2117e67ef7f13e0954": { "identifier": "pts\/mocassin-1.1.0", "title": "Monte Carlo Simulations of Ionised Nebulae", "app_version": "2.02.73.3", "arguments": "dust\/2D\/tau100.0", "description": "Input: Dust 2D tau100.0", "scale": "Seconds", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 190.070999999999997953636921010911464691162109375, "raw_values": [ 187.95900000000000318323145620524883270263671875, 188.828000000000002955857780762016773223876953125, 193.42500000000001136868377216160297393798828125 ], "test_run_times": [ 187.960000000000007958078640513122081756591796875, 188.830000000000012505552149377763271331787109375, 193.419999999999987494447850622236728668212890625 ], "details": { "compiler-options": { "compiler-type": "F9X", "compiler": "gfortran", "compiler-options": "-cpp -Jsource\/ -ffree-line-length-0 -lm -std=legacy -O2 -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lz" } } } } }, "bffb8365b4dfc188c6b5a53407101cf62fd793f0": { "identifier": "pts\/openfoam-1.2.0", "title": "OpenFOAM", "app_version": "10", "arguments": "incompressible\/simpleFoam\/drivaerFastback\/ -m L", "description": "Input: drivaerFastback, Large Mesh Size - Mesh Time", "scale": "Seconds", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 585.136619999999993524397723376750946044921875, "test_run_times": [ 9600.72999999999956344254314899444580078125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfiniteVolume -lmeshTools -lparallel -llagrangian -lregionModels -lgenericPatchFields -lOpenFOAM -ldl -lm" } } } } }, "ecaf0d797e41d4110edf7e15f99c1409669a5e45": { "identifier": "pts\/openfoam-1.2.0", "title": "OpenFOAM", "app_version": "10", "arguments": "incompressible\/simpleFoam\/drivaerFastback\/ -m L", "description": "Input: drivaerFastback, Large Mesh Size - Execution Time", "scale": "Seconds", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 8994.465099999999438296072185039520263671875, "test_run_times": [ 9600.72999999999956344254314899444580078125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfiniteVolume -lmeshTools -lparallel -llagrangian -lregionModels -lgenericPatchFields -lOpenFOAM -ldl -lm" } } } } }, "50fc4d4b5c4b29095b3e0aa0a1c3cab468af9be9": { "identifier": "pts\/openfoam-1.2.0", "title": "OpenFOAM", "app_version": "10", "arguments": "incompressible\/simpleFoam\/drivaerFastback\/ -m S", "description": "Input: drivaerFastback, Small Mesh Size - Mesh Time", "scale": "Seconds", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 22.97411699999999967758412822149693965911865234375, "test_run_times": [ 57.11999999999999744204615126363933086395263671875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfiniteVolume -lmeshTools -lparallel -llagrangian -lregionModels -lgenericPatchFields -lOpenFOAM -ldl -lm" } } } } }, "71fa59d0188c21d8c8be6b645cd8c22e2f516244": { "identifier": "pts\/openfoam-1.2.0", "title": "OpenFOAM", "app_version": "10", "arguments": "incompressible\/simpleFoam\/drivaerFastback\/ -m S", "description": "Input: drivaerFastback, Small Mesh Size - Execution Time", "scale": "Seconds", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 29.87796300000000115915099740959703922271728515625, "test_run_times": [ 57.11999999999999744204615126363933086395263671875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfiniteVolume -lmeshTools -lparallel -llagrangian -lregionModels -lgenericPatchFields -lOpenFOAM -ldl -lm" } } } } }, "e945012a32dc8b18d74c4b494c42ab3f8ef46355": { "identifier": "pts\/openfoam-1.2.0", "title": "OpenFOAM", "app_version": "10", "arguments": "incompressible\/simpleFoam\/drivaerFastback\/ -m M", "description": "Input: drivaerFastback, Medium Mesh Size - Mesh Time", "scale": "Seconds", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 108.3682299999999969486452755518257617950439453125, "test_run_times": [ 296.029999999999972715158946812152862548828125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfiniteVolume -lmeshTools -lparallel -llagrangian -lregionModels -lgenericPatchFields -lOpenFOAM -ldl -lm" } } } } }, "6960fd799d22af64e372d2b9ee63a1261380ecda": { "identifier": "pts\/openfoam-1.2.0", "title": "OpenFOAM", "app_version": "10", "arguments": "incompressible\/simpleFoam\/drivaerFastback\/ -m M", "description": "Input: drivaerFastback, Medium Mesh Size - Execution Time", "scale": "Seconds", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 181.017590000000012651071301661431789398193359375, "test_run_times": [ 296.029999999999972715158946812152862548828125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfiniteVolume -lmeshTools -lparallel -llagrangian -lregionModels -lgenericPatchFields -lOpenFOAM -ldl -lm" } } } } }, "65b2848f49bc1d461712e3defeecaee109226330": { "identifier": "pts\/remhos-1.0.0", "title": "Remhos", "app_version": "1.0", "arguments": "-m .\/data\/inline-quad.mesh -p 14 -rs 2 -rp 1 -dt 0.0005 -tf 0.6 -ho 1 -lo 2 -fct 3", "description": "Test: Sample Remap Example", "scale": "Seconds", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 10.29299999999999926103555480949580669403076171875, "raw_values": [ 10.7200000000000006394884621840901672840118408203125, 10.135999999999999232613845379091799259185791015625, 10.08200000000000073896444519050419330596923828125, 10.422000000000000596855898038484156131744384765625, 10.1039999999999992041921359486877918243408203125, 10.29599999999999937472239253111183643341064453125 ], "test_run_times": [ 10.7200000000000006394884621840901672840118408203125, 10.1400000000000005684341886080801486968994140625, 10.0800000000000000710542735760100185871124267578125, 10.4199999999999999289457264239899814128875732421875, 10.0999999999999996447286321199499070644378662109375, 10.300000000000000710542735760100185871124267578125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -std=c++11 -lmfem -lHYPRE -lmetis -lrt -lmpi_cxx -lmpi" } } } } }, "012b8a85f6a8fcc5de04ddd5c0dac405489ff52d": { "identifier": "pts\/specfem3d-1.0.0", "title": "SPECFEM3D", "app_version": "4.0", "arguments": "Mount_StHelens", "description": "Model: Mount St. Helens", "scale": "Seconds", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 8.8981452399999998448265614570118486881256103515625, "raw_values": [ 9.2096072600000002950082489405758678913116455078125, 8.9237584559999998390367181855253875255584716796875, 8.7502359199999997230179360485635697841644287109375, 8.888813139999999890505932853557169437408447265625, 8.71831142199999931108322925865650177001953125 ], "test_run_times": [ 11.230000000000000426325641456060111522674560546875, 10.9900000000000002131628207280300557613372802734375, 10.7400000000000002131628207280300557613372802734375, 10.9900000000000002131628207280300557613372802734375, 10.6400000000000005684341886080801486968994140625 ], "details": { "compiler-options": { "compiler-type": "F9X", "compiler": "gfortran", "compiler-options": "-O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz" } } } } }, "b1499f6b4e88c6caecffc43156a95d1043ff44ed": { "identifier": "pts\/specfem3d-1.0.0", "title": "SPECFEM3D", "app_version": "4.0", "arguments": "layered_halfspace", "description": "Model: Layered Halfspace", "scale": "Seconds", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 21.347969289000001680278728599660098552703857421875, "raw_values": [ 21.55150193200000074966737884096801280975341796875, 21.2069685969999994767931639216840267181396484375, 21.28543733800000126166196423582732677459716796875 ], "test_run_times": [ 24.190000000000001278976924368180334568023681640625, 23.9200000000000017053025658242404460906982421875, 23.980000000000000426325641456060111522674560546875 ], "details": { "compiler-options": { "compiler-type": "F9X", "compiler": "gfortran", "compiler-options": "-O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz" } } } } }, "1ab9ac03c763525745a7dbd27a09ed2a46a84609": { "identifier": "pts\/specfem3d-1.0.0", "title": "SPECFEM3D", "app_version": "4.0", "arguments": "tomographic_model", "description": "Model: Tomographic Model", "scale": "Seconds", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 8.738903584999999196725184447132050991058349609375, "raw_values": [ 8.65690580100000062202525441534817218780517578125, 8.8147797459999992497614584863185882568359375, 8.736573526000000811109202913939952850341796875, 8.7153579620000005689917088602669537067413330078125, 8.770900887999999895328073762357234954833984375 ], "test_run_times": [ 10.910000000000000142108547152020037174224853515625, 11.1199999999999992184029906638897955417633056640625, 11.050000000000000710542735760100185871124267578125, 11.160000000000000142108547152020037174224853515625, 11.1300000000000007815970093361102044582366943359375 ], "details": { "compiler-options": { "compiler-type": "F9X", "compiler": "gfortran", "compiler-options": "-O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz" } } } } }, "3ea521b4ea3cea9e8083eb484343bbfff1cd5891": { "identifier": "pts\/specfem3d-1.0.0", "title": "SPECFEM3D", "app_version": "4.0", "arguments": "homogeneous_halfspace", "description": "Model: Homogeneous Halfspace", "scale": "Seconds", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 11.32314013599999924508665571920573711395263671875, "raw_values": [ 11.5300336649999994875770426006056368350982666015625, 11.136632567999999565699908998794853687286376953125, 11.0319437160000006770133040845394134521484375, 11.5939505950000008027700459933839738368988037109375 ], "test_run_times": [ 13.6699999999999999289457264239899814128875732421875, 13.3699999999999992184029906638897955417633056640625, 13.3900000000000005684341886080801486968994140625, 13.92999999999999971578290569595992565155029296875 ], "details": { "compiler-options": { "compiler-type": "F9X", "compiler": "gfortran", "compiler-options": "-O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz" } } } } }, "a7bb214b190a7ecc900abc3b5a245a6c4945283f": { "identifier": "pts\/specfem3d-1.0.0", "title": "SPECFEM3D", "app_version": "4.0", "arguments": "waterlayered_halfspace", "description": "Model: Water-layered Halfspace", "scale": "Seconds", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 21.11805134800000161021671374328434467315673828125, "raw_values": [ 20.769458144000001453832737752236425876617431640625, 21.1516576880000002347514964640140533447265625, 21.4330382119999995893522282131016254425048828125 ], "test_run_times": [ 23.809999999999998721023075631819665431976318359375, 24.1700000000000017053025658242404460906982421875, 24.6099999999999994315658113919198513031005859375 ], "details": { "compiler-options": { "compiler-type": "F9X", "compiler": "gfortran", "compiler-options": "-O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz" } } } } }, "b9b1befce41604fd39956719f25d5f2956e05d26": { "identifier": "pts\/build-gem5-1.0.0", "title": "Timed Gem5 Compilation", "app_version": "21.2", "description": "Time To Compile", "scale": "Seconds", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 137.691000000000002501110429875552654266357421875, "raw_values": [ 137.491000000000013869794202037155628204345703125, 136.5579999999999927240423858165740966796875, 139.022999999999996134647517465054988861083984375 ], "test_run_times": [ 137.490000000000009094947017729282379150390625, 136.56000000000000227373675443232059478759765625, 139.020000000000010231815394945442676544189453125 ] } } }, "5ec9b8c8c1d88d740398b4fe81fa1f518eae03ef": { "identifier": "pts\/build-godot-4.0.0", "title": "Timed Godot Game Engine Compilation", "app_version": "4.0", "description": "Time To Compile", "scale": "Seconds", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 88.3840000000000003410605131648480892181396484375, "raw_values": [ 88.5090000000000003410605131648480892181396484375, 88.2960000000000064801497501321136951446533203125, 88.34600000000000363797880709171295166015625 ], "test_run_times": [ 88.5100000000000051159076974727213382720947265625, 88.2999999999999971578290569595992565155029296875, 88.349999999999994315658113919198513031005859375 ] } } }, "9cdcd82c9c47af9df17263e4312f634338dbf476": { "identifier": "pts\/build-linux-kernel-1.15.0", "title": "Timed Linux Kernel Compilation", "app_version": "6.1", "arguments": "defconfig", "description": "Build: defconfig", "scale": "Seconds", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 22.919000000000000483169060316868126392364501953125, "raw_values": [ 23.925999999999998379962562466971576213836669921875, 22.63700000000000045474735088646411895751953125, 22.675000000000000710542735760100185871124267578125, 22.768000000000000682121026329696178436279296875, 22.58800000000000096633812063373625278472900390625 ], "test_run_times": [ 23.92999999999999971578290569595992565155029296875, 22.6400000000000005684341886080801486968994140625, 22.6700000000000017053025658242404460906982421875, 22.769999999999999573674358543939888477325439453125, 22.589999999999999857891452847979962825775146484375 ] } } }, "f06bdc65d8d218e96da2676cdcc292140486c21c": { "identifier": "pts\/build-linux-kernel-1.15.0", "title": "Timed Linux Kernel Compilation", "app_version": "6.1", "arguments": "allmodconfig", "description": "Build: allmodconfig", "scale": "Seconds", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 202.556999999999987949195201508700847625732421875, "raw_values": [ 203.4950000000000045474735088646411895751953125, 202.688999999999992951416061259806156158447265625, 201.4859999999999899955582804977893829345703125 ], "test_run_times": [ 203.490000000000009094947017729282379150390625, 202.68999999999999772626324556767940521240234375, 201.490000000000009094947017729282379150390625 ] } } }, "bf1f35ed79342701259794a6b00d4ab6c70f07e1": { "identifier": "pts\/build-llvm-1.5.0", "title": "Timed LLVM Compilation", "app_version": "16.0", "arguments": "Ninja", "description": "Build System: Ninja", "scale": "Seconds", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 112.88700000000000045474735088646411895751953125, "raw_values": [ 112.3900000000000005684341886080801486968994140625, 113.445999999999997953636921010911464691162109375, 112.8239999999999980673237587325274944305419921875 ], "test_run_times": [ 112.3900000000000005684341886080801486968994140625, 113.4500000000000028421709430404007434844970703125, 112.81999999999999317878973670303821563720703125 ] } } }, "2511712c8344060f8de440e01689a5f6879d3048": { "identifier": "pts\/build-llvm-1.5.0", "title": "Timed LLVM Compilation", "app_version": "16.0", "description": "Build System: Unix Makefiles", "scale": "Seconds", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 184.046999999999997044142219237983226776123046875, "raw_values": [ 182.201999999999998181010596454143524169921875, 185.919999999999987494447850622236728668212890625, 184.018000000000000682121026329696178436279296875 ], "test_run_times": [ 182.19999999999998863131622783839702606201171875, 185.919999999999987494447850622236728668212890625, 184.020000000000010231815394945442676544189453125 ] } } }, "79e80b296dc3a852ed1e87d634a0f20615348356": { "identifier": "pts\/build-nodejs-1.3.0", "title": "Timed Node.js Compilation", "app_version": "19.8.1", "description": "Time To Compile", "scale": "Seconds", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 105.227000000000003865352482534945011138916015625, "raw_values": [ 105.38700000000000045474735088646411895751953125, 104.9210000000000064801497501321136951446533203125, 105.373999999999995225152815692126750946044921875 ], "test_run_times": [ 105.3900000000000005684341886080801486968994140625, 104.9200000000000017053025658242404460906982421875, 105.3700000000000045474735088646411895751953125 ] } } }, "316d54449852f46d2c759a45a6fe4432d0b53b0d": { "identifier": "pts\/build-php-1.6.0", "title": "Timed PHP Compilation", "app_version": "8.1.9", "description": "Time To Compile", "scale": "Seconds", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 33.445999999999997953636921010911464691162109375, "raw_values": [ 33.98599999999999710098563809879124164581298828125, 33.256000000000000227373675443232059478759765625, 33.09599999999999653255144949071109294891357421875 ], "test_run_times": [ 33.99000000000000198951966012828052043914794921875, 33.25999999999999801048033987171947956085205078125, 33.10000000000000142108547152020037174224853515625 ] } } }, "127b1aac0429a8929c2c3fac94dedafb584f1da9": { "identifier": "pts\/ngspice-1.0.0", "title": "Ngspice", "app_version": "34", "arguments": "~\/iscas85Circuits\/85\/c2670\/c2670_ann.net", "description": "Circuit: C2670", "scale": "Seconds", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 118.394000000000005456968210637569427490234375, "raw_values": [ 118.6460000000000007958078640513122081756591796875, 118.6680000000000063664629124104976654052734375, 117.86799999999999499777914024889469146728515625 ], "test_run_times": [ 119.6099999999999994315658113919198513031005859375, 119.6400000000000005684341886080801486968994140625, 118.8299999999999982946974341757595539093017578125 ], "details": { "compiler-options": { "compiler-type": "CC", "compiler": "gcc", "compiler-options": "-O0 -fopenmp -lm -lstdc++ -lfftw3 -lXaw -lXmu -lXt -lXext -lX11 -lXft -lfontconfig -lXrender -lfreetype -lSM -lICE" } } } } }, "a58e066249276859fb52a3f9d1903a2dd6ff64e8": { "identifier": "pts\/ngspice-1.0.0", "title": "Ngspice", "app_version": "34", "arguments": "~\/iscas85Circuits\/85\/c7552p\/c7552_ann.net", "description": "Circuit: C7552", "scale": "Seconds", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 100.849999999999994315658113919198513031005859375, "raw_values": [ 100.9759999999999990905052982270717620849609375, 100.8589999999999946567186270840466022491455078125, 100.71399999999999863575794734060764312744140625 ], "test_run_times": [ 105.1400000000000005684341886080801486968994140625, 105.030000000000001136868377216160297393798828125, 104.93000000000000682121026329696178436279296875 ], "details": { "compiler-options": { "compiler-type": "CC", "compiler": "gcc", "compiler-options": "-O0 -fopenmp -lm -lstdc++ -lfftw3 -lXaw -lXmu -lXt -lXext -lX11 -lXft -lfontconfig -lXrender -lfreetype -lSM -lICE" } } } } }, "000491b6954aa4ca7a90f7caa6fe0a6a6ae7d525": { "identifier": "pts\/wrf-1.0.1", "title": "WRF", "app_version": "4.2.2", "arguments": "-i conus 2.5km", "description": "Input: conus 2.5km", "scale": "Seconds", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 11269.262000000000625732354819774627685546875, "test_run_times": [ 11269.260000000000218278728425502777099609375 ], "details": { "compiler-options": { "compiler-type": "F9X", "compiler": "gfortran", "compiler-options": "-O2 -ftree-vectorize -funroll-loops -ffree-form -fconvert=big-endian -frecord-marker=4 -fallow-invalid-boz -lesmf_time -lwrfio_nf -lnetcdff -lnetcdf -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz" } } } } }, "6781f9595e1ef890246bbbe0c74f87f683d41c17": { "identifier": "pts\/gpaw-1.2.0", "title": "GPAW", "app_version": "23.6", "arguments": "carbon-nanotube", "description": "Input: Carbon Nanotube", "scale": "Seconds", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 34.7740000000000009094947017729282379150390625, "raw_values": [ 34.594999999999998863131622783839702606201171875, 34.6009999999999990905052982270717620849609375, 35.12599999999999766941982670687139034271240234375 ], "test_run_times": [ 35.7999999999999971578290569595992565155029296875, 35.6700000000000017053025658242404460906982421875, 36.18999999999999772626324556767940521240234375 ], "details": { "compiler-options": { "compiler-type": "CC", "compiler": "gcc", "compiler-options": "-shared -fwrapv -O2 -lxc -lblas -lmpi" } } } } }, "351f556195f128aec13f5c66c67fbf70f78ab21a": { "identifier": "pts\/blender-3.6.0", "title": "Blender", "app_version": "3.6", "arguments": "-b ..\/bmw27_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU", "description": "Blend File: BMW27 - Compute: CPU-Only", "scale": "Seconds", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 16.280000000000001136868377216160297393798828125, "raw_values": [ 16.260000000000001563194018672220408916473388671875, 16.1099999999999994315658113919198513031005859375, 16.46000000000000085265128291212022304534912109375 ], "test_run_times": [ 17.3299999999999982946974341757595539093017578125, 16.5, 16.839999999999999857891452847979962825775146484375 ] } } }, "2c548f2af84ef1dbd95bf756cd644be502a7f366": { "identifier": "pts\/blender-3.6.0", "title": "Blender", "app_version": "3.6", "arguments": "-b ..\/classroom_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU", "description": "Blend File: Classroom - Compute: CPU-Only", "scale": "Seconds", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 40.50999999999999801048033987171947956085205078125, "raw_values": [ 40.3599999999999994315658113919198513031005859375, 40.46000000000000085265128291212022304534912109375, 40.719999999999998863131622783839702606201171875 ], "test_run_times": [ 40.77000000000000312638803734444081783294677734375, 40.8299999999999982946974341757595539093017578125, 41.10000000000000142108547152020037174224853515625 ] } } }, "588a47d7b846a429886849ab34c1b1b922e347e1": { "identifier": "pts\/blender-3.6.0", "title": "Blender", "app_version": "3.6", "arguments": "-b ..\/fishy_cat_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU", "description": "Blend File: Fishy Cat - Compute: CPU-Only", "scale": "Seconds", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 20.620000000000000994759830064140260219573974609375, "raw_values": [ 20.730000000000000426325641456060111522674560546875, 20.67999999999999971578290569595992565155029296875, 20.449999999999999289457264239899814128875732421875 ], "test_run_times": [ 21.440000000000001278976924368180334568023681640625, 21.379999999999999005240169935859739780426025390625, 21.1400000000000005684341886080801486968994140625 ] } } }, "183e901ae00912487a56d83fffbd8270c582ca7a": { "identifier": "pts\/blender-3.6.0", "title": "Blender", "app_version": "3.6", "arguments": "-b ..\/barbershop_interior_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU", "description": "Blend File: Barbershop - Compute: CPU-Only", "scale": "Seconds", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 142.030000000000001136868377216160297393798828125, "raw_values": [ 142.039999999999992041921359486877918243408203125, 142.039999999999992041921359486877918243408203125, 142.020000000000010231815394945442676544189453125 ], "test_run_times": [ 143.740000000000009094947017729282379150390625, 143.5, 143.460000000000007958078640513122081756591796875 ] } } }, "a496aea62829d000b6c9e48cf6119133a70311b8": { "identifier": "pts\/blender-3.6.0", "title": "Blender", "app_version": "3.6", "arguments": "-b ..\/pavillon_barcelone_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU", "description": "Blend File: Pabellon Barcelona - Compute: CPU-Only", "scale": "Seconds", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 49.6099999999999994315658113919198513031005859375, "raw_values": [ 49.5499999999999971578290569595992565155029296875, 49.52000000000000312638803734444081783294677734375, 49.77000000000000312638803734444081783294677734375 ], "test_run_times": [ 50.1099999999999994315658113919198513031005859375, 50.0799999999999982946974341757595539093017578125, 50.340000000000003410605131648480892181396484375 ] } } }, "da96a0fb13a80f8f427d264b294143bcbe76301b": { "identifier": "pts\/pyhpc-3.0.0", "title": "PyHPC Benchmarks", "app_version": "3.0", "arguments": "--device cpu -b jax -s 4194304 benchmarks\/equation_of_state\/", "description": "Device: CPU - Backend: JAX - Project Size: 4194304 - Benchmark: Equation of State", "scale": "Seconds", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "Default": { "test_run_times": [ 0.0899999999999999966693309261245303787291049957275390625, 0.0899999999999999966693309261245303787291049957275390625, 0.0899999999999999966693309261245303787291049957275390625 ], "details": { "error": "The test run did not produce a result." } } } }, "e52c787b78045b107f8c07173c85d871df1a59fc": { "identifier": "pts\/pyhpc-3.0.0", "title": "PyHPC Benchmarks", "app_version": "3.0", "arguments": "--device cpu -b jax -s 4194304 benchmarks\/isoneutral_mixing\/", "description": "Device: CPU - Backend: JAX - Project Size: 4194304 - Benchmark: Isoneutral Mixing", "scale": "Seconds", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "Default": { "test_run_times": [ 0.0899999999999999966693309261245303787291049957275390625, 0.0899999999999999966693309261245303787291049957275390625, 0.0899999999999999966693309261245303787291049957275390625 ], "details": { "error": "The test run did not produce a result." } } } }, "098811a6518dcd05174cbca7c229ab86b4ea6186": { "identifier": "pts\/pyhpc-3.0.0", "title": "PyHPC Benchmarks", "app_version": "3.0", "arguments": "--device cpu -b numba -s 4194304 benchmarks\/equation_of_state\/", "description": "Device: CPU - Backend: Numba - Project Size: 4194304 - Benchmark: Equation of State", "scale": "Seconds", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "Default": { "test_run_times": [ 0.08000000000000000166533453693773481063544750213623046875, 0.08000000000000000166533453693773481063544750213623046875, 0.0899999999999999966693309261245303787291049957275390625 ], "details": { "error": "The test run did not produce a result." } } } }, "651e10aafbf3119b8959f01c0d7404e96c3f04da": { "identifier": "pts\/pyhpc-3.0.0", "title": "PyHPC Benchmarks", "app_version": "3.0", "arguments": "--device cpu -b numba -s 4194304 benchmarks\/isoneutral_mixing\/", "description": "Device: CPU - Backend: Numba - Project Size: 4194304 - Benchmark: Isoneutral Mixing", "scale": "Seconds", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "Default": { "test_run_times": [ 0.0899999999999999966693309261245303787291049957275390625, 0.0899999999999999966693309261245303787291049957275390625, 0.0899999999999999966693309261245303787291049957275390625 ], "details": { "error": "The test run did not produce a result." } } } }, "86fc395db128ecc129a824c8b96c1fb8ee0d326f": { "identifier": "pts\/pyhpc-3.0.0", "title": "PyHPC Benchmarks", "app_version": "3.0", "arguments": "--device cpu -b numpy -s 4194304 benchmarks\/equation_of_state\/", "description": "Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Equation of State", "scale": "Seconds", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 0.76700000000000001509903313490212894976139068603515625, "raw_values": [ 0.7660000000000000142108547152020037174224853515625, 0.762000000000000010658141036401502788066864013671875, 0.77400000000000002131628207280300557613372802734375 ], "test_run_times": [ 27.300000000000000710542735760100185871124267578125, 27.160000000000000142108547152020037174224853515625, 27.559999999999998721023075631819665431976318359375 ] } } }, "7297d7eca156c81a578a538ca9030dcb20b7c454": { "identifier": "pts\/pyhpc-3.0.0", "title": "PyHPC Benchmarks", "app_version": "3.0", "arguments": "--device cpu -b numpy -s 4194304 benchmarks\/isoneutral_mixing\/", "description": "Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Isoneutral Mixing", "scale": "Seconds", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 1.5780000000000000692779167366097681224346160888671875, "raw_values": [ 1.5789999999999999591437926937942393124103546142578125, 1.5769999999999999573674358543939888477325439453125, 1.5780000000000000692779167366097681224346160888671875 ], "test_run_times": [ 83.3900000000000005684341886080801486968994140625, 83.18999999999999772626324556767940521240234375, 83.2399999999999948840923025272786617279052734375 ] } } }, "ea77cfb486a6e681b9c732b2d162a22d8223a91b": { "identifier": "pts\/pyhpc-3.0.0", "title": "PyHPC Benchmarks", "app_version": "3.0", "arguments": "--device cpu -b aesara -s 4194304 benchmarks\/equation_of_state\/", "description": "Device: CPU - Backend: Aesara - Project Size: 4194304 - Benchmark: Equation of State", "scale": "Seconds", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "Default": { "test_run_times": [ 0.0899999999999999966693309261245303787291049957275390625, 0.0899999999999999966693309261245303787291049957275390625, 0.0899999999999999966693309261245303787291049957275390625 ], "details": { "error": "The test run did not produce a result." } } } }, "2c3f0cc8173cbf81bad0a5f792917f3d4a806632": { "identifier": "pts\/pyhpc-3.0.0", "title": "PyHPC Benchmarks", "app_version": "3.0", "arguments": "--device cpu -b aesara -s 4194304 benchmarks\/isoneutral_mixing\/", "description": "Device: CPU - Backend: Aesara - Project Size: 4194304 - Benchmark: Isoneutral Mixing", "scale": "Seconds", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "Default": { "test_run_times": [ 0.0899999999999999966693309261245303787291049957275390625, 0.0899999999999999966693309261245303787291049957275390625, 0.0899999999999999966693309261245303787291049957275390625 ], "details": { "error": "The test run did not produce a result." } } } }, "ba0a5162ff31077e0f6b0f51e2295597f79752d1": { "identifier": "pts\/pyhpc-3.0.0", "title": "PyHPC Benchmarks", "app_version": "3.0", "arguments": "--device cpu -b pytorch -s 4194304 benchmarks\/equation_of_state\/", "description": "Device: CPU - Backend: PyTorch - Project Size: 4194304 - Benchmark: Equation of State", "scale": "Seconds", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "Default": { "test_run_times": [ 0.0899999999999999966693309261245303787291049957275390625, 0.08000000000000000166533453693773481063544750213623046875, 0.08000000000000000166533453693773481063544750213623046875 ], "details": { "error": "The test run did not produce a result." } } } }, "5ea8ab1aec8492f1c6099544e55720c74e76e00d": { "identifier": "pts\/pyhpc-3.0.0", "title": "PyHPC Benchmarks", "app_version": "3.0", "arguments": "--device cpu -b pytorch -s 4194304 benchmarks\/isoneutral_mixing\/", "description": "Device: CPU - Backend: PyTorch - Project Size: 4194304 - Benchmark: Isoneutral Mixing", "scale": "Seconds", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "Default": { "test_run_times": [ 0.0899999999999999966693309261245303787291049957275390625, 0.0899999999999999966693309261245303787291049957275390625, 0.0899999999999999966693309261245303787291049957275390625 ], "details": { "error": "The test run did not produce a result." } } } }, "0a71fa60e910c889b9a1864c7b0bbc98736ee7c2": { "identifier": "pts\/pyhpc-3.0.0", "title": "PyHPC Benchmarks", "app_version": "3.0", "arguments": "--device cpu -b tensorflow -s 4194304 benchmarks\/equation_of_state\/", "description": "Device: CPU - Backend: TensorFlow - Project Size: 4194304 - Benchmark: Equation of State", "scale": "Seconds", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "Default": { "test_run_times": [ 0.0899999999999999966693309261245303787291049957275390625, 0.0899999999999999966693309261245303787291049957275390625, 0.0899999999999999966693309261245303787291049957275390625 ], "details": { "error": "The test run did not produce a result." } } } }, "bf4fe3ee8e7c04a68c12e80c3764f531fcb9c148": { "identifier": "pts\/pyhpc-3.0.0", "title": "PyHPC Benchmarks", "app_version": "3.0", "arguments": "--device cpu -b tensorflow -s 4194304 benchmarks\/isoneutral_mixing\/", "description": "Device: CPU - Backend: TensorFlow - Project Size: 4194304 - Benchmark: Isoneutral Mixing", "scale": "Seconds", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "Default": { "test_run_times": [ 0.08000000000000000166533453693773481063544750213623046875, 0.08000000000000000166533453693773481063544750213623046875, 0.08000000000000000166533453693773481063544750213623046875 ], "details": { "error": "The test run did not produce a result." } } } }, "bba40be5b54aebfa2f7be27b6d5384dadef5d6d0": { "identifier": "pts\/whisper-cpp-1.0.0", "title": "Whisper.cpp", "app_version": "1.4", "arguments": "-m models\/ggml-base.en.bin -f ..\/2016-state-of-the-union.wav", "description": "Model: ggml-base.en - Input: 2016 State of the Union", "scale": "Seconds", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 332.01513999999997395207174122333526611328125, "raw_values": [ 335.1181199999999762439983896911144256591796875, 331.5470900000000256113708019256591796875, 329.3802200000000084401108324527740478515625 ], "test_run_times": [ 335.1399999999999863575794734060764312744140625, 331.56999999999999317878973670303821563720703125, 329.41000000000002501110429875552654266357421875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -std=c++11 -fPIC -pthread" } } } } }, "9427c8eadfbd027f2325b58d19eaa69b58154661": { "identifier": "pts\/whisper-cpp-1.0.0", "title": "Whisper.cpp", "app_version": "1.4", "arguments": "-m models\/ggml-small.en.bin -f ..\/2016-state-of-the-union.wav", "description": "Model: ggml-small.en - Input: 2016 State of the Union", "scale": "Seconds", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 769.1138099999999440115061588585376739501953125, "raw_values": [ 764.80456000000003768946044147014617919921875, 766.86238000000003012246452271938323974609375, 775.6744999999999663486960344016551971435546875 ], "test_run_times": [ 764.8400000000000318323145620524883270263671875, 766.8999999999999772626324556767940521240234375, 775.7100000000000363797880709171295166015625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -std=c++11 -fPIC -pthread" } } } } }, "3c29953508ddea872bc62ee23738005156210c1a": { "identifier": "pts\/whisper-cpp-1.0.0", "title": "Whisper.cpp", "app_version": "1.4", "arguments": "-m models\/ggml-medium.en.bin -f ..\/2016-state-of-the-union.wav", "description": "Model: ggml-medium.en - Input: 2016 State of the Union", "scale": "Seconds", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "Default": { "value": 1444.135829999999941719579510390758514404296875, "raw_values": [ 1444.264619999999922583810985088348388671875, 1454.0878800000000410364009439945220947265625, 1434.055000000000063664629124104976654052734375 ], "test_run_times": [ 1444.329999999999927240423858165740966796875, 1454.15000000000009094947017729282379150390625, 1434.1199999999998908606357872486114501953125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -std=c++11 -fPIC -pthread" } } } } } } }