Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 2405092-NE-ONEDNN19342
{
"title": "onednn1",
"last_modified": "2024-05-09 13:47:16",
"description": "fbsd",
"systems": {
"fbsd": {
"identifier": "fbsd",
"hardware": {
"Processor": "AMD Ryzen 9 5950X 16-Core @ 3.40GHz (16 Cores)",
"Motherboard": "X570S PG Riptide",
"Chipset": "AMD [AMD] Starship\/Matisse Root Complex",
"Memory": "64GB",
"Disk": "2 x Generic NVMe Device",
"Graphics": "NVIDIA RTX A2000 6GB",
"Audio": "NVIDIA (0x228e) HDA",
"Monitor": "Art M"
},
"software": {
"OS": "FreeBSD",
"Kernel": "14.1-STABLE (x86_64)",
"Desktop": "KDE Plasma 5.27.11",
"Display Server": "X Server 1.21.1.13",
"Display Driver": "NVIDIA 550.54.14",
"OpenGL": "4.6.0",
"Compiler": "Clang 18.1.5",
"File-System": "zfs",
"Screen Resolution": "9216x2880"
},
"user": "user",
"timestamp": "2024-05-09 13:31:42",
"client_version": "10.8.5",
"data": {
"environment-variables": "RUSTFLAGS=\"-C target-cpu=native\" CGO_LDFLAGS=\"-s -w\""
}
}
},
"results": {
"8f240080f4a9e0a0dc2c41137a7d1437c7ffdcbc": {
"identifier": "pts\/onednn-3.4.0",
"title": "oneDNN",
"app_version": "3.4",
"arguments": "--ip --batch=inputs\/ip\/shapes_1d --engine=cpu",
"description": "Harness: IP Shapes 1D - Engine: CPU",
"scale": "ms",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"results": {
"fbsd": {
"value": 2.71600000000000019184653865522705018520355224609375,
"raw_values": [
2.715409999999999879349843467934988439083099365234375,
2.7160799999999998277644408517517149448394775390625,
2.716509999999999980246911945869214832782745361328125
],
"min_result": [
"2.54"
],
"test_run_times": [
15.1400000000000005684341886080801486968994140625,
15.1500000000000003552713678800500929355621337890625,
15.1400000000000005684341886080801486968994140625
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "clang++",
"compiler-options": "-O3 -march=native -fopenmp=libomp -msse4.1 -fPIC -pie -lpthread"
}
}
}
}
},
"71fb2672401eac9e14360f0d24b0dac568d4e27d": {
"identifier": "pts\/onednn-3.4.0",
"title": "oneDNN",
"app_version": "3.4",
"arguments": "--ip --batch=inputs\/ip\/shapes_3d --engine=cpu",
"description": "Harness: IP Shapes 3D - Engine: CPU",
"scale": "ms",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"results": {
"fbsd": {
"value": 9.62256000000000000227373675443232059478759765625,
"raw_values": [
9.7142300000000005866240826435387134552001953125,
10.65390000000000014779288903810083866119384765625,
10.8051999999999992496668710373342037200927734375,
10.0808999999999997498889570124447345733642578125,
9.4535699999999991405275068245828151702880859375,
10.1546000000000002927436071331612765789031982421875,
9.8732500000000005258016244624741375446319580078125,
9.5841399999999996595079210237599909305572509765625,
9.20506999999999919737092568539083003997802734375,
9.145759999999999223518898361362516880035400390625,
9.1409800000000007713651939411647617816925048828125,
9.162150000000000460431692772544920444488525390625,
9.1337299999999999045030563138425350189208984375,
9.195100000000000051159076974727213382720947265625,
9.035830000000000694626578479073941707611083984375
],
"min_result": [
"8.82"
],
"test_run_times": [
9.410000000000000142108547152020037174224853515625,
9.4199999999999999289457264239899814128875732421875,
9.42999999999999971578290569595992565155029296875,
9.410000000000000142108547152020037174224853515625,
9.410000000000000142108547152020037174224853515625,
9.4199999999999999289457264239899814128875732421875,
9.4700000000000006394884621840901672840118408203125,
9.5099999999999997868371792719699442386627197265625,
9.410000000000000142108547152020037174224853515625,
9.4000000000000003552713678800500929355621337890625,
9.4199999999999999289457264239899814128875732421875,
9.410000000000000142108547152020037174224853515625,
9.4199999999999999289457264239899814128875732421875,
9.410000000000000142108547152020037174224853515625,
9.4199999999999999289457264239899814128875732421875
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "clang++",
"compiler-options": "-O3 -march=native -fopenmp=libomp -msse4.1 -fPIC -pie -lpthread"
}
}
}
}
},
"0ef6103275fbe37507d64e861136b8757d7fa5c6": {
"identifier": "pts\/onednn-3.4.0",
"title": "oneDNN",
"app_version": "3.4",
"arguments": "--conv --batch=inputs\/conv\/shapes_auto --engine=cpu",
"description": "Harness: Convolution Batch Shapes Auto - Engine: CPU",
"scale": "ms",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"results": {
"fbsd": {
"value": 9.549070000000000391082721762359142303466796875,
"raw_values": [
9.5287500000000004973799150320701301097869873046875,
9.5754800000000006576783562195487320423126220703125,
9.54298000000000001818989403545856475830078125
],
"min_result": [
"9.18"
],
"test_run_times": [
6.20000000000000017763568394002504646778106689453125,
6.19000000000000039079850466805510222911834716796875,
6.20000000000000017763568394002504646778106689453125
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "clang++",
"compiler-options": "-O3 -march=native -fopenmp=libomp -msse4.1 -fPIC -pie -lpthread"
}
}
}
}
},
"d8a158c9d5cf7db0d9c36abbcd79d2f6c457c0e8": {
"identifier": "pts\/onednn-3.4.0",
"title": "oneDNN",
"app_version": "3.4",
"arguments": "--deconv --batch=inputs\/deconv\/shapes_1d --engine=cpu",
"description": "Harness: Deconvolution Batch shapes_1d - Engine: CPU",
"scale": "ms",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"results": {
"fbsd": {
"value": 3.78453999999999979308995534665882587432861328125,
"raw_values": [
3.781759999999999788400373290642164647579193115234375,
3.788349999999999884181534071103669703006744384765625,
3.783510000000000150777168528293259441852569580078125
],
"min_result": [
"3.51"
],
"test_run_times": [
21.1099999999999994315658113919198513031005859375,
21.10000000000000142108547152020037174224853515625,
21.10000000000000142108547152020037174224853515625
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "clang++",
"compiler-options": "-O3 -march=native -fopenmp=libomp -msse4.1 -fPIC -pie -lpthread"
}
}
}
}
},
"b98add05d66e1331f141db44b09d1130a8b17f20": {
"identifier": "pts\/onednn-3.4.0",
"title": "oneDNN",
"app_version": "3.4",
"arguments": "--deconv --batch=inputs\/deconv\/shapes_3d --engine=cpu",
"description": "Harness: Deconvolution Batch shapes_3d - Engine: CPU",
"scale": "ms",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"results": {
"fbsd": {
"value": 4.45955000000000012505552149377763271331787109375,
"raw_values": [
4.4657999999999997697841536137275397777557373046875,
4.45418999999999964956032272311858832836151123046875,
4.4586699999999996890664988313801586627960205078125
],
"min_result": [
"4.44"
],
"test_run_times": [
3.04999999999999982236431605997495353221893310546875,
3.04999999999999982236431605997495353221893310546875,
3.04999999999999982236431605997495353221893310546875
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "clang++",
"compiler-options": "-O3 -march=native -fopenmp=libomp -msse4.1 -fPIC -pie -lpthread"
}
}
}
}
},
"d9548296a130d41521408adebd2110bf646bed60": {
"identifier": "pts\/onednn-3.4.0",
"title": "oneDNN",
"app_version": "3.4",
"arguments": "--rnn --batch=inputs\/rnn\/perf_rnn_training --engine=cpu",
"description": "Harness: Recurrent Neural Network Training - Engine: CPU",
"scale": "ms",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"results": {
"fbsd": {
"value": 1927.410000000000081854523159563541412353515625,
"raw_values": [
1926.5,
1927.25,
1928.48000000000001818989403545856475830078125
],
"min_result": [
"1917.14"
],
"test_run_times": [
76.7900000000000062527760746888816356658935546875,
77.1700000000000017053025658242404460906982421875,
77
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "clang++",
"compiler-options": "-O3 -march=native -fopenmp=libomp -msse4.1 -fPIC -pie -lpthread"
}
}
}
}
},
"421721b6ff3ad3e06131ca5667bb283fe7e7415d": {
"identifier": "pts\/onednn-3.4.0",
"title": "oneDNN",
"app_version": "3.4",
"arguments": "--rnn --batch=inputs\/rnn\/perf_rnn_inference_lb --engine=cpu",
"description": "Harness: Recurrent Neural Network Inference - Engine: CPU",
"scale": "ms",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"results": {
"fbsd": {
"value": 994.05999999999994543031789362430572509765625,
"raw_values": [
993.53800000000001091393642127513885498046875,
995.26800000000002910383045673370361328125,
993.375
],
"min_result": [
"985.42"
],
"test_run_times": [
74.7099999999999937472239253111183643341064453125,
74.7900000000000062527760746888816356658935546875,
74.75
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "clang++",
"compiler-options": "-O3 -march=native -fopenmp=libomp -msse4.1 -fPIC -pie -lpthread"
}
}
}
}
}
}
}