9654 new

2 x AMD EPYC 9654 96-Core testing with a AMD Titanite_4G (RTI1004D BIOS) and llvmpipe on Red Hat Enterprise Linux 9.1 via the Phoronix Test Suite.

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Timed Code Compilation 2 Tests
C/C++ Compiler Tests 5 Tests
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  Test
  Duration
a
March 09 2023
  2 Hours, 22 Minutes
b
March 10 2023
  2 Hours, 23 Minutes
c
March 10 2023
  2 Hours, 22 Minutes
no smt a
March 10 2023
  2 Hours, 24 Minutes
no smt b
March 10 2023
  2 Hours, 24 Minutes
smt a
March 11 2023
  2 Hours, 30 Minutes
smt b
March 11 2023
  2 Hours, 30 Minutes
smt c
March 11 2023
  2 Hours, 30 Minutes
smt d
March 11 2023
  2 Hours, 30 Minutes
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  2 Hours, 26 Minutes

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9654 new 2 x AMD EPYC 9654 96-Core testing with a AMD Titanite_4G (RTI1004D BIOS) and llvmpipe on Red Hat Enterprise Linux 9.1 via the Phoronix Test Suite. ,,"a","b","c","no smt a","no smt b","smt a","smt b","smt c","smt d" Processor,,AMD EPYC 9654 96-Core @ 2.40GHz (96 Cores / 192 Threads),AMD EPYC 9654 96-Core @ 2.40GHz (96 Cores / 192 Threads),AMD EPYC 9654 96-Core @ 2.40GHz (96 Cores / 192 Threads),2 x AMD EPYC 9654 96-Core @ 2.40GHz (192 Cores),2 x AMD EPYC 9654 96-Core @ 2.40GHz (192 Cores),2 x AMD EPYC 9654 96-Core @ 2.40GHz (192 Cores / 384 Threads),2 x AMD EPYC 9654 96-Core @ 2.40GHz (192 Cores / 384 Threads),2 x AMD EPYC 9654 96-Core @ 2.40GHz (192 Cores / 384 Threads),2 x AMD EPYC 9654 96-Core @ 2.40GHz (192 Cores / 384 Threads) Motherboard,,AMD Titanite_4G (RTI1004D BIOS),AMD Titanite_4G (RTI1004D BIOS),AMD Titanite_4G (RTI1004D BIOS),AMD Titanite_4G (RTI1004D BIOS),AMD Titanite_4G (RTI1004D BIOS),AMD Titanite_4G (RTI1004D BIOS),AMD Titanite_4G (RTI1004D BIOS),AMD Titanite_4G (RTI1004D BIOS),AMD Titanite_4G (RTI1004D BIOS) Chipset,,AMD Device 14a4,AMD Device 14a4,AMD Device 14a4,AMD Device 14a4,AMD Device 14a4,AMD Device 14a4,AMD Device 14a4,AMD Device 14a4,AMD Device 14a4 Memory,,768GB,768GB,768GB,1520GB,1520GB,1520GB,1520GB,1520GB,1520GB Disk,,2 x 1920GB SAMSUNG MZWLJ1T9HBJR-00007,2 x 1920GB SAMSUNG MZWLJ1T9HBJR-00007,2 x 1920GB SAMSUNG MZWLJ1T9HBJR-00007,2 x 1920GB SAMSUNG MZWLJ1T9HBJR-00007,2 x 1920GB SAMSUNG MZWLJ1T9HBJR-00007,2 x 1920GB SAMSUNG MZWLJ1T9HBJR-00007,2 x 1920GB SAMSUNG MZWLJ1T9HBJR-00007,2 x 1920GB SAMSUNG MZWLJ1T9HBJR-00007,2 x 1920GB SAMSUNG MZWLJ1T9HBJR-00007 Graphics,,ASPEED,ASPEED,ASPEED,llvmpipe,llvmpipe,llvmpipe,llvmpipe,llvmpipe,llvmpipe Monitor,,VGA HDMI,VGA HDMI,VGA HDMI,VGA HDMI,VGA HDMI,VGA HDMI,VGA HDMI,VGA HDMI,VGA HDMI Network,,Broadcom NetXtreme BCM5720 PCIe,Broadcom NetXtreme BCM5720 PCIe,Broadcom NetXtreme BCM5720 PCIe,Broadcom NetXtreme BCM5720 PCIe,Broadcom NetXtreme BCM5720 PCIe,Broadcom NetXtreme BCM5720 PCIe,Broadcom NetXtreme BCM5720 PCIe,Broadcom NetXtreme BCM5720 PCIe,Broadcom NetXtreme BCM5720 PCIe OS,,Red Hat Enterprise Linux 9.1,Red Hat Enterprise Linux 9.1,Red Hat Enterprise Linux 9.1,Red Hat Enterprise Linux 9.1,Red Hat Enterprise Linux 9.1,Red Hat Enterprise Linux 9.1,Red Hat Enterprise Linux 9.1,Red Hat Enterprise Linux 9.1,Red Hat Enterprise Linux 9.1 Kernel,,5.14.0-162.6.1.el9_1.x86_64 (x86_64),5.14.0-162.6.1.el9_1.x86_64 (x86_64),5.14.0-162.6.1.el9_1.x86_64 (x86_64),5.14.0-162.6.1.el9_1.x86_64 (x86_64),5.14.0-162.6.1.el9_1.x86_64 (x86_64),5.14.0-162.6.1.el9_1.x86_64 (x86_64),5.14.0-162.6.1.el9_1.x86_64 (x86_64),5.14.0-162.6.1.el9_1.x86_64 (x86_64),5.14.0-162.6.1.el9_1.x86_64 (x86_64) Desktop,,GNOME Shell 40.10,GNOME Shell 40.10,GNOME Shell 40.10,GNOME Shell 40.10,GNOME Shell 40.10,GNOME Shell 40.10,GNOME Shell 40.10,GNOME Shell 40.10,GNOME Shell 40.10 Display Server,,X Server 1.20.11,X Server 1.20.11,X Server 1.20.11,X Server 1.20.11,X Server 1.20.11,X Server 1.20.11,X Server 1.20.11,X Server 1.20.11,X Server 1.20.11 Compiler,,GCC 11.3.1 20220421,GCC 11.3.1 20220421,GCC 11.3.1 20220421,GCC 11.3.1 20220421,GCC 11.3.1 20220421,GCC 11.3.1 20220421,GCC 11.3.1 20220421,GCC 11.3.1 20220421,GCC 11.3.1 20220421 File-System,,xfs,xfs,xfs,xfs,xfs,xfs,xfs,xfs,xfs Screen Resolution,,1600x1200,1600x1200,1600x1200,1024x768,1024x768,1024x768,1024x768,1024x768,1024x768 OpenGL,,,,,4.5 Mesa 22.1.5 (LLVM 14.0.6 256 bits),4.5 Mesa 22.1.5 (LLVM 14.0.6 256 bits),4.5 Mesa 22.1.5 (LLVM 14.0.6 256 bits),4.5 Mesa 22.1.5 (LLVM 14.0.6 256 bits),4.5 Mesa 22.1.5 (LLVM 14.0.6 256 bits),4.5 Mesa 22.1.5 (LLVM 14.0.6 256 bits) ,,"a","b","c","no smt a","no smt b","smt a","smt b","smt c","smt d" "Stress-NG - Test: MMAP (Bogo Ops/s)",HIB,1663.08,1664.75,1668.92,4520.48,3591.71,8360.76,9017.12,7633.16,7273.19 "oneDNN - Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,8.74576,9.1957,3.83017,6.19257,7.98861,15.421,19.549,18.6594,11.7573 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU (ms)",LIB,674.088,671.654,669.146,930.257,901.044,3187,3034.62,3011.21,3349.36 "oneDNN - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU (ms)",LIB,2.01581,1.9234,1.88686,2.04003,1.93126,7.60566,7.4227,9.34981,8.26078 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,671.69,670.202,671.233,913.201,903.358,3269.05,3249.28,3153.22,3171.15 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,675.915,668.952,667.95,973.318,939.547,3133.65,3222.93,3185.64,3172.19 "oneDNN - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,3.11497,4.27858,4.3972,4.87883,4.79302,11.4326,7.30147,12.013,12.1571 "Stress-NG - Test: Context Switching (Bogo Ops/s)",HIB,18941003.97,16313126.86,16862185.54,47222624.49,44683906.68,12895047.73,12221058.34,12328933.65,12728401.45 "Stress-NG - Test: NUMA (Bogo Ops/s)",HIB,483.9,498.67,478.05,20.51,19.78,24.82,24.77,24.79,24.71 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU (ms)",LIB,7.35746,7.28243,7.38116,9.25292,9.31751,20.2695,20.572,21.0301,20.9726 "OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (ms)",LIB,16.3,15.54,15.1,6.01,6.01,6.02,6.03,5.99,6 "OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (FPS)",HIB,2941.47,3085.53,3174.04,7979.05,7979.82,7953.21,7949.05,7993.18,7990.47 "Stress-NG - Test: Pthread (Bogo Ops/s)",HIB,109397.78,109356.78,109609.15,68076.03,67451.3,74978.51,180407.59,77834.39,91735.75 "RocksDB - Test: Random Read (Op/s)",HIB,468231434,466888888,468069792,1209611055,1213540299,1225662852,1231168093,1234570512,1231916197 "Stress-NG - Test: Matrix Math (Bogo Ops/s)",HIB,382305.69,382304.04,382328.5,932248.18,925984.24,946032.88,946660.88,952461.48,951700.17 "Stress-NG - Test: CPU Cache (Bogo Ops/s)",HIB,77.51,67.21,97.04,40.94,55.84,47.58,44.38,42.55,40.56 "Stress-NG - Test: CPU Stress (Bogo Ops/s)",HIB,205134.87,217072.27,217304.19,328297.04,326819.72,487359.39,487987.32,490300.48,489998.75 "Stress-NG - Test: Vector Math (Bogo Ops/s)",HIB,556875.59,556797.27,556833.5,920216.27,920642.34,1291689.33,1291704.57,1295970.28,1300693.93 "Stress-NG - Test: Mutex (Bogo Ops/s)",HIB,59479783.64,60031543.97,59929401.4,63581395.67,65500297.73,136339636.91,135855921.28,138939958.5,137579874.56 "Stress-NG - Test: Crypto (Bogo Ops/s)",HIB,203073.15,203147.15,203095.44,435615.35,437065.75,466292.12,466609.22,468159.21,468006 "oneDNN - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU (ms)",LIB,1.56461,1.56257,1.56742,2.19645,2.12379,3.39151,3.49453,3.60194,3.50563 "Stress-NG - Test: SENDFILE (Bogo Ops/s)",HIB,1950323.96,1913590.77,1891202.37,3284433.2,3282827.5,4329963.26,4329824.38,4351871.12,4351920.42 "Stress-NG - Test: Function Call (Bogo Ops/s)",HIB,621015.34,621003.92,621041.93,829106.63,829445.38,1414423.65,1413555.44,1422505.51,1425621.44 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.263997,0.263373,0.26292,0.316665,0.293564,0.591738,0.600199,0.593299,0.602831 "Stress-NG - Test: Atomic (Bogo Ops/s)",HIB,174.72,223.29,183.33,400.03,395.95,184.34,186.64,184.24,182.8 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,42.9581,42.8348,42.9152,97.3996,97.3441,97.2916,97.3528,96.9077,97.8908 "Stress-NG - Test: Glibc Qsort Data Sorting (Bogo Ops/s)",HIB,1122.39,1132.35,1125.86,1978.8,1963.75,2564.48,2520.38,2517.26,2516.09 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,42.9893,42.897,42.7433,97.4442,97.3838,97.0249,96.906,96.9975,96.7169 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.555277,0.551966,0.556851,0.664359,0.670574,1.20049,1.18135,1.20146,1.2334 "Stress-NG - Test: Glibc C String Functions (Bogo Ops/s)",HIB,16257100.25,16168655.17,16537965.14,26755146.69,28009942.56,35687958.37,35996976.13,34602827.77,36111781.82 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,1009.8486,1012.3494,1013.7357,2204.7533,2203.1573,2230.3099,2245.8036,2253.1411,2255.422 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,0.2902,0.291387,0.285432,0.316779,0.340498,0.621776,0.620907,0.634992,0.627133 "Stress-NG - Test: Hash (Bogo Ops/s)",HIB,18954936,18955118.1,18961773.18,27408413.1,27422305.53,41966139.67,41989522.68,41972765.93,41965286.06 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (FPS)",HIB,95.76,95.48,95.59,208.82,210.14,208.13,208.19,210.19,209.24 "OpenVINO - Model: Face Detection FP16 - Device: CPU (ms)",LIB,962.1,962.63,962.15,438.29,438.99,439.41,439.5,437.51,437.68 "OpenVINO - Model: Face Detection FP16 - Device: CPU (FPS)",HIB,49.72,49.72,49.77,109.08,109.04,108.93,108.89,109.36,109.23 "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS)",HIB,9494.22,9496.95,9485.65,20836.1,20849.75,20610.23,20610.62,20684.29,20679.68 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (ms)",LIB,499.32,500.83,500.3,229.46,228.01,230.21,230.06,227.93,228.94 "oneDNN - Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,1.87777,1.72975,1.6386,2.02286,2.02833,3.38833,3.59643,3.36535,2.97427 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,907.489,903.272,906.139,1148.26,1124.75,1912.16,1890.28,1888.21,1957.77 "OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (FPS)",HIB,4914.17,4915.42,4910.13,10556.93,10549.24,10544.03,10549.15,10603.84,10587.3 "OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (ms)",LIB,9.76,9.75,9.76,4.54,4.54,4.54,4.54,4.52,4.52 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,440.8533,439.0373,438.4372,941.2443,938.9084,929.0246,927.679,937.992,931.8223 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,911.245,912.114,915.084,1151.25,1119.17,1830.41,1937.65,1926.15,1883.76 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,909.691,917.077,911.762,1147.34,1139.63,1888.1,1894.07,1925.68,1912.74 "Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,149.7446,149.8207,149.6905,308.4294,308.3033,314.6186,314.2452,315.3318,316.0328 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,619.7531,619.9442,625.5512,1291.9733,1292.8038,1306.6677,1306.5839,1305.7137,1301.1811 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,314.8361,316.2907,316.6282,649.302,647.7596,658.2111,658.341,662.2585,660.2132 "OpenVINO - Model: Person Detection FP32 - Device: CPU (FPS)",HIB,27.97,28.23,27.89,57.18,57.19,57.29,57.31,57.71,57.62 "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (ms)",LIB,8.11,8.13,8.13,3.95,3.95,3.95,3.96,3.93,3.93 "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS)",HIB,5908.89,5894.27,5898.79,12119.66,12128.38,12117.16,12109.64,12168.05,12172.92 "OpenVINO - Model: Person Detection FP32 - Device: CPU (ms)",LIB,1701.7,1685.26,1704.02,833.99,834.17,833.15,832.7,826.67,828.01 "Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,401.7766,401.2053,400.0427,813.9832,817.6313,817.7536,822.1552,818.6037,816.7562 "Stress-NG - Test: Malloc (Bogo Ops/s)",HIB,312709034.05,314418461.02,313768771.26,456657338.84,456651508.04,634718750.41,634995429.66,639757070.52,640853365.54 "OpenVINO - Model: Person Detection FP16 - Device: CPU (FPS)",HIB,28.47,28.42,28.33,57.58,57.49,57.72,57.67,58.05,58 "OpenVINO - Model: Person Detection FP16 - Device: CPU (ms)",LIB,1671.46,1675.96,1679.03,828.67,830.04,827.07,827.03,821.93,822.5 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (FPS)",HIB,74495.17,74353.41,74486.08,127833.52,127770.39,148316.88,147582.87,148047.13,149647.68 "RocksDB - Test: Read While Writing (Op/s)",HIB,9296185,8620352,8316379,7643831,7913568,15317250,13830689,13948914,13098097 "Neural Magic DeepSparse - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,1566.564,1573.7496,1571.8281,3107.2957,3086.3591,3114.6848,3114.4293,3132.3838,3116.0909 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,0.415446,0.578466,0.417188,0.291687,0.291229,0.451472,0.450261,0.44782,0.457554 "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (FPS)",HIB,540.41,541.03,535.78,1045.81,1048.74,1049.16,1050.37,1058.57,1057.74 "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (ms)",LIB,88.71,88.61,89.46,45.86,45.73,45.71,45.66,45.31,45.34 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU (ms)",LIB,0.357017,0.356875,0.353175,0.342836,0.347231,0.674455,0.675664,0.676124,0.672115 "oneDNN - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.53445,0.513068,0.546991,0.556069,0.629026,0.975357,0.971704,0.99571,0.975091 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.304972,0.305731,0.305599,0.160361,0.164845,0.279638,0.291087,0.275917,0.247825 "Stress-NG - Test: MEMFD (Bogo Ops/s)",HIB,518.46,507.74,507.97,303.56,308.67,464.7,564.05,413.34,394.49 "Stress-NG - Test: Memory Copying (Bogo Ops/s)",HIB,20106.51,20340.4,20297.91,11342.69,10949.9,15914.1,15430.18,15077.69,13370.33 "Stress-NG - Test: Forking (Bogo Ops/s)",HIB,58156.36,58664.97,64299.62,43094.96,45685.28,36266.02,36020.16,34917.39,34685.85 "Stress-NG - Test: Futex (Bogo Ops/s)",HIB,2794694.37,2805836.52,2794473.75,3746361.52,3802292.6,2333781.39,2396325.93,2067499.58,2077119.76 "GROMACS - Implementation: MPI CPU - Input: water_GMX50_bare (Ns/Day)",HIB,10.569,10.609,10.587,19.175,18.837,18.818,19.015,19.045,19.077 "RocksDB - Test: Read Random Write Random (Op/s)",HIB,2926458,2891962,2910023,2079804,2063831,1787682,1761416,1613913,1752904 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU (ms)",LIB,1.17004,1.16696,1.16919,0.664295,0.651301,0.97859,0.973555,0.972863,0.973984 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,0.693367,0.689064,0.692667,0.40359,0.400325,0.538539,0.551783,0.545118,0.63063 "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS)",HIB,5750.74,5720.9,5724.81,9784.09,9758.74,9746.08,9680.44,9773.26,9767.99 "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (ms)",LIB,8.34,8.38,8.37,4.9,4.91,4.92,4.95,4.9,4.91 "Memcached - Set To Get Ratio: 1:5 (Ops/sec)",HIB,4143044.21,4162812.47,4155273.46,2444886.82,2460416.33,2520253,2507331.29,2517750.47,2527084.87 "Stress-NG - Test: System V Message Passing (Bogo Ops/s)",HIB,10473084.09,10471889.97,10475486.39,7402514.74,7372780.72,10103952.13,8586858.51,8609357.68,12418451.71 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,1.83147,1.84172,1.82264,1.65041,1.70057,2.70807,2.7614,2.70235,2.67303 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Slow (FPS)",HIB,40.63,40.86,40.76,47.13,47.43,64.63,66.22,65.49,66.08 "Memcached - Set To Get Ratio: 1:10 (Ops/sec)",HIB,6861088.89,6792746.34,6839975.87,4244908.83,4220522.49,4530948.62,4392934.75,4549313.42,4569476.86 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.311405,0.312721,0.312289,0.254845,0.255796,0.40743,0.408074,0.394377,0.389223 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Medium (FPS)",HIB,41.4,41.39,41.47,47.97,47.93,65.56,65.69,65.59,65.49 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Slow (FPS)",HIB,29.37,29.29,29.41,34.59,34.68,45.56,46.25,46.34,46.25 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (FPS)",HIB,112346.36,111378.39,112186.25,160545.41,162294.47,173926.92,175754.35,173620.31,172228.34 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,0.711588,0.712495,0.708563,0.462386,0.461174,0.672585,0.672768,0.676798,0.680395 "Memcached - Set To Get Ratio: 1:100 (Ops/sec)",HIB,4878860,4876951.36,4852421.67,3192061.68,3216133.91,4383314.65,4357453.76,4394194.49,4403267.42 "Stress-NG - Test: Semaphores (Bogo Ops/s)",HIB,18128283.29,18100474.36,18088584.67,13141129.68,13192391.85,20047519.05,19927313.52,19866440.86,19842969.28 "Timed Linux Kernel Compilation - Build: defconfig (sec)",LIB,25.768,25.749,25.68,17.606,17.586,17.376,17.017,17.053,17.079 "Stress-NG - Test: Poll (Bogo Ops/s)",HIB,12653709.64,12661687.46,12676101.41,10458275.24,10393402.01,15359471.73,15341564.16,15228320.07,15403597.24 "OpenVKL - Benchmark: vklBenchmark Scalar (Items / Sec)",HIB,556,557,549,647,652,764,810,793,781 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream (ms/batch)",LIB,5.1812,5.1633,5.1696,7.5856,6.4174,7.5225,6.8844,7.355,7.064 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream (items/sec)",HIB,192.8806,193.5305,193.3119,131.7586,155.7357,132.8655,145.1736,135.8907,141.4705 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Medium (FPS)",HIB,33.03,33.13,33.1,38.38,38.65,47.56,46.62,46.57,46.21 "Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream (items/sec)",HIB,99.1493,98.6175,98.5922,72.1298,71.8878,77.8827,77.4096,70.1418,75.524 "Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,10.0811,10.136,10.1384,13.8559,13.9039,12.8322,12.9106,14.2486,13.2331 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream (ms/batch)",LIB,5.3018,5.498,5.5007,6.0118,6.065,7.1865,7.3054,6.1057,7.149 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream (items/sec)",HIB,188.5378,181.8123,181.7243,166.2725,164.8126,139.0973,136.8324,163.7111,139.8241 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,11.362,11.1872,11.1605,14.4638,14.4178,13.637,14.6356,14.2011,15.126 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream (items/sec)",HIB,87.9631,89.3355,89.547,69.1063,69.3266,73.2924,68.2924,70.3828,66.083 "uvg266 - Video Input: Bosphorus 1080p - Video Preset: Super Fast (FPS)",HIB,238.68,239.92,237.96,181.67,216.15,178.49,220.79,178.78,218.91 "uvg266 - Video Input: Bosphorus 1080p - Video Preset: Ultra Fast (FPS)",HIB,240.98,240.91,238.77,186.24,209.85,216.15,179.56,218.28,224.31 "Zstd Compression - Compression Level: 12 - Compression Speed (MB/s)",HIB,330.8,332,330.1,279.9,278.2,254.1,259.1,249.8,256.2 "RocksDB - Test: Update Random (Op/s)",HIB,544384,545556,543572,462018,452228,413199,411513,419985,420514 "RocksDB - Test: Sequential Fill (Op/s)",HIB,542256,545396,544565,465700,464044,414168,413708,414282,414047 "Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream (ms/batch)",LIB,16.5828,16.6745,16.5185,20.7385,20.4223,21.0323,21.7398,20.4884,21.3593 "Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream (items/sec)",HIB,60.2522,59.9222,60.4884,48.1849,48.9257,47.506,45.9642,48.772,46.7815 "uvg266 - Video Input: Bosphorus 1080p - Video Preset: Very Fast (FPS)",HIB,234.95,234.68,237.44,196.25,183.75,183.99,209.55,192.25,181.83 "ClickHouse - 100M Rows Hits Dataset, Second Run (Queries/min, Geo Mean)",HIB,625.91,627.20,621.88,666.43,649.52,524.04,527.88,524.75,515.11 "RocksDB - Test: Random Fill (Op/s)",HIB,533927,534681,536551,478629,468210,423027,417882,416006,415428 "ClickHouse - 100M Rows Hits Dataset, First Run / Cold Cache (Queries/min, Geo Mean)",HIB,600.70,610.79,614.24,635.48,622.73,500.13,516.09,495.85,500.118340751 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream (ms/batch)",LIB,9.5962,9.5793,8.8004,9.8899,9.9395,8.1914,8.3506,10.3852,9.3656 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream (items/sec)",HIB,104.1178,104.2908,113.5057,101.0095,100.509,121.9232,119.5964,96.1737,106.6518 "ClickHouse - 100M Rows Hits Dataset, Third Run (Queries/min, Geo Mean)",HIB,625.16,628.37,636.18,665.00,662.01,534.82,538.63,530.47,527.80 "VP9 libvpx Encoding - Speed: Speed 5 - Input: Bosphorus 4K (FPS)",HIB,17.36,17.37,17.46,14.48,14.5,13.9,14.27,15.38,15.11 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (ms)",LIB,0.65,0.66,0.66,0.57,0.58,0.53,0.53,0.53,0.53 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Ultra Fast (FPS)",HIB,70.56,70.68,71.13,57.78,57.23,57.96,57.51,57.33,58.76 "OpenVKL - Benchmark: vklBenchmark ISPC (Items / Sec)",HIB,1089,1075,1066,1098,1108,1318,1243,1235,1238 "Zstd Compression - Compression Level: 8 - Compression Speed (MB/s)",HIB,1233.8,1239.3,1241.1,1227.5,1234.2,1023.9,1122.4,1005.8,1024.8 "Zstd Compression - Compression Level: 3 - Compression Speed (MB/s)",HIB,3033.9,3095,3049.4,2804.2,2865.9,2795.1,2513.4,2604.6,2528.7 "Timed FFmpeg Compilation - Time To Compile (sec)",LIB,12.569,12.434,12.465,10.597,10.662,10.381,10.259,10.407,10.373 "Kvazaar - Video Input: Bosphorus 1080p - Video Preset: Very Fast (FPS)",HIB,296.93,290.59,291.03,269.62,268.77,250.71,274.63,243.36,270.76 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Very Fast (FPS)",HIB,68.82,68.79,69.04,57.13,58.09,59.3,57.86,57.44,57.52 "Kvazaar - Video Input: Bosphorus 1080p - Video Preset: Slow (FPS)",HIB,139.92,139.07,140.1,155.56,159.79,132.67,136.33,135.8,135.56 "Kvazaar - Video Input: Bosphorus 1080p - Video Preset: Super Fast (FPS)",HIB,307.49,303.99,301.4,288.41,280.18,296.72,267.04,288.09,256.45 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Super Fast (FPS)",HIB,69.33,69,69.92,59.83,58.33,59.06,59.2,58.34,58.66 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,28.6233,28.7137,28.5698,31.9229,32.1778,32.2956,32.2415,33.9879,32.1758 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream (items/sec)",HIB,34.9289,34.8189,34.9937,31.3187,31.07,30.9572,31.0093,29.4163,31.0727 "Zstd Compression - Compression Level: 3, Long Mode - Compression Speed (MB/s)",HIB,892.7,909.4,916.9,955.6,1032.3,1051.4,1038.9,1046.6,1059 "Kvazaar - Video Input: Bosphorus 1080p - Video Preset: Medium (FPS)",HIB,143.31,144.21,143.81,159.63,161.4,140.78,138.33,140.89,136.42 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream (items/sec)",HIB,34.8262,35.0962,35.1188,31.9146,29.7544,31.7592,31.7806,31.9277,30.2494 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream (ms/batch)",LIB,28.7077,28.4866,28.4687,31.327,33.6012,31.4805,31.4593,31.3146,33.0514 "RocksDB - Test: Random Fill Sync (Op/s)",HIB,376601,373002,356922,350673,344040,388052,401295,394852,404463 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,1115.7602,1118.4383,1122.0584,955.1631,955.2386,972.5163,975.504,971.8988,974.985 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,1116.426,1116.2899,1117.7323,956.0088,955.3438,970.2202,969.2122,971.6677,966.7606 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Very Fast (FPS)",HIB,80.9,81.61,80.31,70.02,69.94,75.91,74.11,73.57,73.24 "Kvazaar - Video Input: Bosphorus 1080p - Video Preset: Ultra Fast (FPS)",HIB,310.73,305.52,309.64,278.62,271.45,302.55,295.18,303.43,303.63 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Super Fast (FPS)",HIB,81.9,80.68,84.55,75.5,74.03,76.64,76.7,78.72,75.5 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Ultra Fast (FPS)",HIB,83.45,84.77,82.7,76.05,74.37,77.96,77,76.14,78.85 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (ms)",LIB,1.09,1.09,1.09,1.01,1.01,0.97,0.97,0.96,0.97 "Neural Magic DeepSparse - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream (items/sec)",HIB,197.1018,196.5414,197.6601,191.2605,175.3199,188.5826,188.4147,189.4054,183.949 "Neural Magic DeepSparse - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream (ms/batch)",LIB,5.0715,5.0859,5.0573,5.2262,5.7015,5.3004,5.3053,5.2773,5.4341 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,47.464,47.3532,47.2942,42.805,42.8393,42.9515,42.6536,42.5521,42.4798 "VP9 libvpx Encoding - Speed: Speed 0 - Input: Bosphorus 4K (FPS)",HIB,7.68,7.71,7.7,7.04,7.16,7.24,6.97,6.92,7.15 "uvg266 - Video Input: Bosphorus 1080p - Video Preset: Slow (FPS)",HIB,81.16,81.41,81.1,87.15,88.13,80.17,79.95,79.63,80 "uvg266 - Video Input: Bosphorus 1080p - Video Preset: Medium (FPS)",HIB,91.37,91.47,91.29,98.21,96.67,89.4,89.7,89.16,88.91 "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (ms)",LIB,10.1,10.1,10.11,9.18,9.18,9.28,9.28,9.25,9.26 "Zstd Compression - Compression Level: 8, Long Mode - Compression Speed (MB/s)",HIB,938.5,910.8,926.9,859.9,892,853.8,852.7,860.8,879.6 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,108.6775,109.1129,109.2467,100.2418,100.4198,103.0888,103.1902,102.0999,102.7646 "VP9 libvpx Encoding - Speed: Speed 0 - Input: Bosphorus 1080p (FPS)",HIB,14.69,14.67,14.76,14.28,13.72,14.08,13.57,13.97,13.68 "Zstd Compression - Compression Level: 19, Long Mode - Compression Speed (MB/s)",HIB,9.22,9.29,9.3,9.39,9.76,9.78,9.87,9.82,9.81 "Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,319.9815,319.9648,320.0504,304.2075,303.7377,303.3272,304.0782,303.2549,301.9192 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,77.3363,77.305,76.6181,73.1993,73.2087,73.306,73.3496,73.3407,73.6196 "VVenC - Video Input: Bosphorus 1080p - Video Preset: Faster (FPS)",HIB,30.039,29.845,30.081,28.689,28.52,,,, "Zstd Compression - Compression Level: 19 - Compression Speed (MB/s)",HIB,19.1,19.1,19.1,19.8,19.8,18.8,19.5,19.2,19.6 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,152.1377,151.6003,151.3899,145.3548,145.3627,145.3966,145.2745,144.4661,144.9144 "Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,119.2067,119.3799,119.7026,116.1532,115.6369,117.1233,116.4813,116.9689,117.2219 "Stress-NG - Test: Socket Activity (Bogo Ops/s)",HIB,8873.58,8851.65,8876.1,8968.28,8924.1,8748.99,8750.61,8747.83,8864.78 "Zstd Compression - Compression Level: 19 - Decompression Speed (MB/s)",HIB,1472.6,1467.8,1470.5,1483.1,1483.8,1495.2,1483.5,1475.2,1479.1 "Zstd Compression - Compression Level: 12 - Decompression Speed (MB/s)",HIB,1704.8,1716.7,1715.6,1728,1727.8,1723.7,1726.3,1732.3,1731.2 "VVenC - Video Input: Bosphorus 4K - Video Preset: Fast (FPS)",HIB,5.82,5.809,5.808,5.89,5.895,,,, "Zstd Compression - Compression Level: 19, Long Mode - Decompression Speed (MB/s)",HIB,1383.7,1378.2,1384,1395.8,1397.6,1393.5,1392.4,1389,1391.7 "VVenC - Video Input: Bosphorus 4K - Video Preset: Faster (FPS)",HIB,12.336,12.391,12.399,12.477,12.31,,,, "Zstd Compression - Compression Level: 3 - Decompression Speed (MB/s)",HIB,1514.8,1516.6,1517.4,1500.4,1511.5,1515.6,1519.1,1516.2,1513.5 "Zstd Compression - Compression Level: 8 - Decompression Speed (MB/s)",HIB,1669.3,1651,1661.9,1669.7,1667.6,1664.3,1671,1664,1664.2 "VP9 libvpx Encoding - Speed: Speed 5 - Input: Bosphorus 1080p (FPS)",HIB,29.37,29.5,29.46,29.62,29.71,29.54,29.6,29.54,29.66 "Neural Magic DeepSparse - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,30.5924,30.4608,30.4911,30.4213,30.6403,30.7462,30.7508,30.5784,30.7247 "VVenC - Video Input: Bosphorus 1080p - Video Preset: Fast (FPS)",HIB,12.44,12.399,12.441,12.357,12.374,,,, "Zstd Compression - Compression Level: 8, Long Mode - Decompression Speed (MB/s)",HIB,1677.9,1673.7,1675.4,1684.8,1682.8,1682.5,1676.5,1683.7,1677.6 "Zstd Compression - Compression Level: 3, Long Mode - Decompression Speed (MB/s)",HIB,1536.6,1537.5,1540.9,1542.5,1538.8,1539.5,1540.4,1540.9,1543.6 "Stress-NG - Test: x86_64 RdRand ()",,,,,,,,,, "Stress-NG - Test: IO_uring ()",,,,,,,,,, "Stress-NG - Test: Zlib ()",,,,,,,,,, "Timed Linux Kernel Compilation - Build: allmodconfig (sec)",LIB,,,,,,,,, "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon Obj (FPS)",HIB,,,,,,,,, "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon (FPS)",HIB,,,,,,,,, "Embree - Binary: Pathtracer - Model: Asian Dragon Obj (FPS)",HIB,,,,,,,,, "Embree - Binary: Pathtracer - Model: Asian Dragon (FPS)",HIB,,,,,,,,, "Embree - Binary: Pathtracer ISPC - Model: Crown (FPS)",HIB,,,,,,,,, "Embree - Binary: Pathtracer - Model: Crown (FPS)",HIB,,,,,,,,,