new-sat

2 x Intel Xeon Platinum 8490H testing with a Quanta Cloud S6Q-MB-MPS (3A10.uh BIOS) and ASPEED on Ubuntu 23.10 via the Phoronix Test Suite.

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C++ Boost Tests 2 Tests
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Date
Run
  Test
  Duration
a
October 28 2023
  1 Hour, 15 Minutes
b
October 28 2023
  49 Minutes
c
October 29 2023
  6 Minutes
d
October 29 2023
  2 Hours, 26 Minutes
e
November 01 2023
  1 Hour, 17 Minutes
f
November 01 2023
  24 Minutes
g
November 02 2023
  1 Hour, 15 Minutes
h
November 02 2023
  1 Hour, 15 Minutes
i
November 02 2023
  1 Minute
j
November 02 2023
  1 Hour, 43 Minutes
k
November 02 2023
  1 Hour, 49 Minutes
l
November 05 2023
  1 Hour, 30 Minutes
m
November 05 2023
  1 Hour, 30 Minutes
n
November 06 2023
  2 Hours, 8 Minutes
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new-sat 2 x Intel Xeon Platinum 8490H testing with a Quanta Cloud S6Q-MB-MPS (3A10.uh BIOS) and ASPEED on Ubuntu 23.10 via the Phoronix Test Suite. ,,"a","b","c","d","e","f","g","h","i","j","k","l","m","n" Processor,,2 x Intel Xeon Platinum 8490H @ 3.50GHz (120 Cores / 240 Threads),2 x Intel Xeon Platinum 8490H @ 3.50GHz (120 Cores / 240 Threads),2 x Intel Xeon Platinum 8490H @ 3.50GHz (120 Cores / 240 Threads),2 x Intel Xeon Platinum 8490H @ 3.50GHz (120 Cores / 240 Threads),Intel Xeon Platinum 8490H @ 3.50GHz (60 Cores / 120 Threads),Intel Xeon Platinum 8490H @ 3.50GHz (60 Cores / 120 Threads),Intel Xeon Max 9468 @ 3.50GHz (48 Cores / 96 Threads),Intel Xeon Max 9468 @ 3.50GHz (48 Cores / 96 Threads),Intel Xeon Max 9468 @ 3.50GHz (48 Cores / 96 Threads),2 x Intel Xeon Max 9468 @ 3.50GHz (96 Cores / 192 Threads),2 x Intel Xeon Max 9468 @ 3.50GHz (96 Cores / 192 Threads),2 x Intel Xeon Platinum 8490H @ 3.50GHz (120 Cores / 240 Threads),2 x Intel Xeon Platinum 8490H @ 3.50GHz (120 Cores / 240 Threads),2 x Intel Xeon Platinum 8490H @ 3.50GHz (120 Cores / 240 Threads) Motherboard,,Quanta Cloud S6Q-MB-MPS (3A10.uh BIOS),Quanta Cloud S6Q-MB-MPS (3A10.uh BIOS),Quanta Cloud S6Q-MB-MPS (3A10.uh BIOS),Quanta Cloud S6Q-MB-MPS (3A10.uh BIOS),Quanta Cloud S6Q-MB-MPS (3A10.uh BIOS),Quanta Cloud S6Q-MB-MPS (3A10.uh BIOS),Quanta Cloud S6Q-MB-MPS (3A10.uh BIOS),Quanta Cloud S6Q-MB-MPS (3A10.uh BIOS),Quanta Cloud S6Q-MB-MPS (3A10.uh BIOS),Quanta Cloud S6Q-MB-MPS (3A10.uh BIOS),Quanta Cloud S6Q-MB-MPS (3A10.uh BIOS),Quanta Cloud S6Q-MB-MPS (3A10.uh BIOS),Quanta Cloud S6Q-MB-MPS (3A10.uh BIOS),Quanta Cloud S6Q-MB-MPS (3A10.uh BIOS) Chipset,,Intel Device 1bce,Intel Device 1bce,Intel Device 1bce,Intel Device 1bce,Intel Device 1bce,Intel Device 1bce,Intel Device 1bce,Intel Device 1bce,Intel Device 1bce,Intel Device 1bce,Intel Device 1bce,Intel Device 1bce,Intel Device 1bce,Intel Device 1bce Memory,,1008GB,1008GB,1008GB,1008GB,512GB,512GB,512GB,512GB,512GB,1008GB,1008GB,1008GB,1008GB,1008GB Disk,,3201GB Micron_7450_MTFDKCC3T2TFS,3201GB Micron_7450_MTFDKCC3T2TFS,3201GB Micron_7450_MTFDKCC3T2TFS,3201GB Micron_7450_MTFDKCC3T2TFS,3201GB Micron_7450_MTFDKCC3T2TFS,3201GB Micron_7450_MTFDKCC3T2TFS,3201GB Micron_7450_MTFDKCC3T2TFS,3201GB Micron_7450_MTFDKCC3T2TFS,3201GB Micron_7450_MTFDKCC3T2TFS,3201GB Micron_7450_MTFDKCC3T2TFS,3201GB Micron_7450_MTFDKCC3T2TFS,3201GB Micron_7450_MTFDKCC3T2TFS,3201GB Micron_7450_MTFDKCC3T2TFS,3201GB Micron_7450_MTFDKCC3T2TFS Graphics,,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED Network,,2 x Intel X710 for 10GBASE-T,2 x Intel X710 for 10GBASE-T,2 x Intel X710 for 10GBASE-T,2 x Intel X710 for 10GBASE-T,,,,,,2 x Intel X710 for 10GBASE-T,2 x Intel X710 for 10GBASE-T,2 x Intel X710 for 10GBASE-T,2 x Intel X710 for 10GBASE-T,2 x Intel X710 for 10GBASE-T OS,,Ubuntu 23.10,Ubuntu 23.10,Ubuntu 23.10,Ubuntu 23.10,Ubuntu 23.10,Ubuntu 23.10,Ubuntu 23.10,Ubuntu 23.10,Ubuntu 23.10,Ubuntu 23.10,Ubuntu 23.10,Ubuntu 23.10,Ubuntu 23.10,Ubuntu 23.10 Kernel,,6.6.0-rc5-phx-patched (x86_64),6.6.0-rc5-phx-patched (x86_64),6.6.0-rc5-phx-patched (x86_64),6.6.0-rc5-phx-patched (x86_64),6.6.0-rc5-phx-patched (x86_64),6.6.0-rc5-phx-patched (x86_64),6.6.0-rc5-phx-patched (x86_64),6.6.0-rc5-phx-patched (x86_64),6.6.0-rc5-phx-patched (x86_64),6.6.0-rc5-phx-patched (x86_64),6.6.0-rc5-phx-patched (x86_64),6.6.0-rc5-phx-patched (x86_64),6.6.0-rc5-phx-patched (x86_64),6.6.0-rc5-phx-patched (x86_64) Desktop,,GNOME Shell 45.0,GNOME Shell 45.0,GNOME Shell 45.0,GNOME Shell 45.0,GNOME Shell 45.0,GNOME Shell 45.0,GNOME Shell 45.0,GNOME Shell 45.0,GNOME Shell 45.0,GNOME Shell 45.0,GNOME Shell 45.0,GNOME Shell 45.0,GNOME Shell 45.0,GNOME Shell 45.0 Display Server,,X Server 1.21.1.7,X Server 1.21.1.7,X Server 1.21.1.7,X Server 1.21.1.7,X Server 1.21.1.7,X Server 1.21.1.7,X Server 1.21.1.7,X Server 1.21.1.7,X Server 1.21.1.7,X Server 1.21.1.7,X Server 1.21.1.7,X Server 1.21.1.7,X Server 1.21.1.7,X Server 1.21.1.7 Compiler,,GCC 13.2.0,GCC 13.2.0,GCC 13.2.0,GCC 13.2.0,GCC 13.2.0,GCC 13.2.0,GCC 13.2.0,GCC 13.2.0,GCC 13.2.0,GCC 13.2.0,GCC 13.2.0,GCC 13.2.0,GCC 13.2.0,GCC 13.2.0 File-System,,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4 Screen Resolution,,1920x1200,1920x1200,1920x1200,1920x1200,1920x1200,1920x1200,1920x1200,1920x1200,1920x1200,1920x1200,1920x1200,1920x1200,1920x1200,1920x1200 ,,"a","b","c","d","e","f","g","h","i","j","k","l","m","n" "CloverLeaf - Input: clover_bm16 (sec)",LIB,224.98,214.08,218.67,303.86,323.53,323.38,183.71,182.63,,1584.37,1812.17,,,222.01 "CloverLeaf - Input: clover_bm (sec)",LIB,14.03,13.69,14.05,19.28,8.74,8.68,10.00,9.87,9.94,78.70,63.32,,,14.07 "CloverLeaf - Input: clover_bm64_short (sec)",LIB,24.34,24.97,24.12,32.19,38.96,38.94,20.86,20.99,,117.20,73.01,,,24.90 "OpenVINO - Model: Face Detection FP16 - Device: CPU (ms)",LIB,,,,,385.45,,114.95,115.13,,124.17,125.39,137.34,137.23,137.61 "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: FFTW - Precision: double-long - X Y Z: 128 (GFLOP/s)",HIB,29.7765,92.731,,,,,,,,,,,, "Cpuminer-Opt - Algorithm: Ringcoin (kH/s)",HIB,5799.03,5933.75,,5770.26,5867.89,,5205,5300.21,,15560,15770,,,7748.29 "OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (FPS)",HIB,,,,,9078.33,,10978.58,11783.36,,21815.71,21635.47,27232.91,27109.5,27112.85 "OpenVINO - Model: Person Detection FP16 - Device: CPU (ms)",LIB,,,,,103.21,,35.35,35.35,,37.93,38.26,47.07,46.98,46.94 "OpenVINO - Model: Person Detection FP32 - Device: CPU (ms)",LIB,,,,,103.01,,35.39,35.41,,37.98,38.23,47.1,46.87,47.14 "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS)",HIB,,,,,16489.33,,19358.98,19208.93,,35303.47,34620.99,47357.41,47468.22,47369.39 "OpenVINO - Model: Handwritten English Recognition FP16 - Device: CPU (FPS)",HIB,,,,,1545.36,,1979.56,1988.3,,3910.94,3918.19,4387.28,4379.43,4433.69 "Cpuminer-Opt - Algorithm: LBC, LBRY Credits (kH/s)",HIB,58960,59690,,58620,29550,,21190,21180,,42230,42230,,,59060 "OpenVINO - Model: Face Detection FP16 - Device: CPU (FPS)",HIB,,,,,77.69,,104.31,104.12,,193.11,191.2,218.22,218.39,217.79 "Cpuminer-Opt - Algorithm: Skeincoin (kH/s)",HIB,133860,133600,,134140,67000,,50420,48010,,95670,95990,,,133840 "Cpuminer-Opt - Algorithm: Blake-2 S (kH/s)",HIB,535240,535430,,533880,267760,,191940,191940,,382680,382610,,,534840 "Cpuminer-Opt - Algorithm: Magi (kH/s)",HIB,2683.56,2681.44,,2672.68,1370.86,,968.45,986.33,,1946.4,1946.34,,,2694.61 "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: FFTW - Precision: double - X Y Z: 128 (GFLOP/s)",HIB,89.7639,41.5556,115.397,,,,,,,,,,, "Cpuminer-Opt - Algorithm: Quad SHA-256, Pyrite (kH/s)",HIB,267960,269860,,267450,136700,,97890,97960,,195710,196100,,,271570 "Cpuminer-Opt - Algorithm: Deepcoin (kH/s)",HIB,32300,32320,,32317,16340,,11730,12140,,23390,23850,,,32400 "Cpuminer-Opt - Algorithm: Triple SHA-256, Onecoin (kH/s)",HIB,384930,384820,,384423,194980,,139540,140170,,278140,278150,,,385290 "Cpuminer-Opt - Algorithm: Myriad-Groestl (kH/s)",HIB,47950,46280,,47623,25310,,17860,18010,,35700,35610,,,46430 "Cpuminer-Opt - Algorithm: scrypt (kH/s)",HIB,1220.91,1194.3,,1189.10,618.59,,472.76,456.46,,939.58,900.68,,,1201.63 "OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,14067,13991,,14042,30876,30951,36833,36575,,31587,21000,,,14017 "OSPRay Studio - Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,14223,14248,,14338,31373,31194,36770,36787,,22407,22062,,,14289 "OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,16770,16786,,16765,36028,36109,42592,42412,,30736,34459,,,16672 "OpenVINO - Model: Handwritten English Recognition FP16-INT8 - Device: CPU (FPS)",HIB,,,,,1224.11,,1200.82,1192.76,,2375.2,2377.19,3004.85,3004.85,2991.51 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (FPS)",HIB,,,,,165.82,,196.21,196.28,,370.5,365.91,415.38,415.53,414.39 "OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (ms)",LIB,,,,,15.86,,6.35,6.34,,6.87,6.9,7.69,7.69,7.69 "OpenVINO - Model: Face Detection Retail FP16 - Device: CPU (FPS)",HIB,,,,,6106.91,,6581.71,6566.24,,12561.59,12534.63,14938.83,14932.7,14888.49 "OpenVINO - Model: Face Detection Retail FP16-INT8 - Device: CPU (FPS)",HIB,,,,,9344.43,,8871.46,8855.95,,16935.65,16935.03,21075.26,21071.09,21033.04 "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (ms)",LIB,,,,,64.66,,27.53,27.75,,29.63,29.75,40.61,40.04,40.9 "OpenVINO - Model: Road Segmentation ADAS FP16 - Device: CPU (ms)",LIB,,,,,39.86,,17.55,17.58,,18.68,18.82,19.58,19.57,19.58 "OSPRay Studio - Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,4239,4213,,4258,7892,,9424,9487,,6496,7011,,,4206 "OSPRay Studio - Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,7076,7113,,7142,13272,13231,15955,15942,,10852,10581,,,7076 "OSPRay Studio - Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,8459,8429,,8493,15787,,18877,18945,,13319,13049,,,8428 "OSPRay Studio - Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,3539,3542,,3558,6633,6628,7939,7952,,5349,5771,,,3545 "OpenVINO - Model: Road Segmentation ADAS FP16 - Device: CPU (FPS)",HIB,,,,,751.14,,682.77,681.9,,1283.22,1273.73,1530.63,1531.37,1530.84 "OSPRay Studio - Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,7192,7193,,7245,13393,,16151,16114,,11801,11652,,,7194 "OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,889,889,,894,1644,1647,1984,1975,,1366,1361,,,889 "OSPRay Studio - Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,3620,3594,,3636,6711,6711,8009,8010,,5659,5812,,,3605 "OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,1066,1064,,1064,1962,1962,2352,2345,,1691,1672,,,1057 "OSPRay Studio - Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,225,226,,227,416,416,500,500,,356,344,,,225 "OSPRay Studio - Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,269,268,,270,496,497,595,595,,420,450,,,268 "OSPRay Studio - Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,907,908,,910,1663,1661,1990,1989,,1535,1381,,,903 "OpenVINO - Model: Person Detection FP16 - Device: CPU (FPS)",HIB,,,,,290.36,,339.17,339.22,,632.07,626.67,636.9,638.13,638.56 "OpenVINO - Model: Person Detection FP32 - Device: CPU (FPS)",HIB,,,,,290.88,,338.84,338.61,,631.31,627.12,636.48,639.58,635.92 "OSPRay Studio - Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,230,230,,231,421,422,505,505,,361,370,,,230 "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS)",HIB,,,,,3566.26,,3685.78,3678.97,,6992.06,7049.72,7617.42,7626.39,7650.29 "OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,38573,38554,,39029,67291,67337,80104,79992,,60905,59689,,,38979 "OpenVINO - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU (FPS)",HIB,,,,,1101.87,,923.91,925.43,,1712.71,1709.38,1914.91,1915.98,1912.82 "OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (FPS)",HIB,,,,,1878.87,,1884.46,1889.02,,3484.18,3465.57,3893.77,3895.49,3895.01 "OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,33358,33490,,33652,57130,57572,68562,68355,,51593,48393,,,33085 "OSPRay Studio - Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,34608,33567,,33817,58032,58436,68506,68593,,51940,52535,,,33789 "Cpuminer-Opt - Algorithm: Garlicoin (kH/s)",HIB,3725.51,3727.55,,4200.71,11540,,2256.38,2332.32,,20460,20550,,,26000 "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS)",HIB,,,,,3221.62,,3319.81,3314,,6234.26,6196.74,5831.93,5825.24,5799.67 "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (FPS)",HIB,,,,,462.66,,433.9,430.23,,806.26,803.87,733.98,744.86,729.58 "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: FFTW - Precision: double-long - X Y Z: 128 (GFLOP/s)",HIB,71.9574,38.4964,,,,,,,,,,,, "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (FPS)",HIB,,,,,86847.05,,90384.31,88444.43,,115992.72,103901.05,144299.06,142293.67,142499.69 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (ms)",LIB,,,,,0.48,,0.3,0.3,,0.31,0.31,0.29,0.29,0.29 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (ms)",LIB,,,,,0.61,,0.51,0.52,,0.41,0.41,0.37,0.38,0.38 "OpenVINO - Model: Handwritten English Recognition FP16 - Device: CPU (ms)",LIB,,,,,38.54,,24.23,24.12,,24.52,24.48,27.3,27.35,27.04 "OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (ms)",LIB,,,,,6.44,,4.36,4.06,,4.38,4.42,4.35,4.35,4.35 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (ms)",LIB,,,,,360.89,,244.29,244.11,,258.62,261.89,288.36,288.29,289.07 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (FPS)",HIB,,,,,106187.7,,131083.06,131445.26,,114581.51,119756.16,151691.73,150804.01,146682.31 "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (ms)",LIB,,,,,18.43,,14.44,14.46,,15.33,15.43,20.51,20.53,20.62 "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (ms)",LIB,,,,,3.51,,2.47,2.49,,2.68,2.74,2.52,2.51,2.52 "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: FFTW - Precision: double - X Y Z: 128 (GFLOP/s)",HIB,71.4774,66.6381,92.6394,,,,,,,,,,, "Timed Gem5 Compilation - Time To Compile (sec)",LIB,,,,,197.545,,206.079,216.878,,195.489,197.948,168.582,162.385,165.809 "OpenVINO - Model: Face Detection Retail FP16 - Device: CPU (ms)",LIB,,,,,9.66,,7.28,7.3,,7.62,7.64,8.02,8.02,8.05 "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (ms)",LIB,,,,,16.72,,13,13.03,,13.68,13.59,15.66,15.63,15.59 "OpenVINO - Model: Handwritten English Recognition FP16-INT8 - Device: CPU (ms)",LIB,,,,,48.77,,39.95,40.22,,40.39,40.36,39.91,39.91,40.09 "OpenVINO - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU (ms)",LIB,,,,,54.3,,51.91,51.84,,56,56.11,62.61,62.56,62.67 "OpenVINO - Model: Face Detection Retail FP16-INT8 - Device: CPU (ms)",LIB,,,,,6.28,,5.4,5.41,,5.65,5.65,5.68,5.68,5.69 "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: Stock - Precision: float - X Y Z: 128 (GFLOP/s)",HIB,125.363,126.182,108.631,,,,,,,,,,, "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: Stock - Precision: float - X Y Z: 256 (GFLOP/s)",HIB,360.023,323.206,,,,,,,,,,,, "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: Stock - Precision: float - X Y Z: 256 (GFLOP/s)",HIB,172.186,157.025,159.458,,,,,,,,,,, "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: Stock - Precision: float - X Y Z: 512 (GFLOP/s)",HIB,119.576,129.547,118.43,,,,,,,,,,, "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: Stock - Precision: double - X Y Z: 128 (GFLOP/s)",HIB,115.201,125.701,,,,,,,,,,,, "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: FFTW - Precision: float - X Y Z: 256 (GFLOP/s)",HIB,159.217,173.449,160.511,,,,,,,,,,, "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: FFTW - Precision: float-long - X Y Z: 128 (GFLOP/s)",HIB,143.402,132.641,,,,,,,,,,,, "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: FFTW - Precision: float-long - X Y Z: 256 (GFLOP/s)",HIB,323.078,348.229,,,,,,,,,,,, "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: FFTW - Precision: double - X Y Z: 512 (GFLOP/s)",HIB,69.6908,65.4142,65.1177,,,,,,,,,,, "C-Blosc - Test: blosclz bitshuffle - Buffer Size: 128MB (MB/s)",HIB,,,,,,,,,,,,8697.6,8864.5,8289.6 "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: FFTW - Precision: double - X Y Z: 256 (GFLOP/s)",HIB,130.153,138.926,,,,,,,,,,,, "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: FFTW - Precision: float-long - X Y Z: 128 (GFLOP/s)",HIB,165.324,175.737,,,,,,,,,,,, "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: FFTW - Precision: double-long - X Y Z: 256 (GFLOP/s)",HIB,67.4501,63.5861,,,,,,,,,,,, "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: FFTW - Precision: float-long - X Y Z: 256 (GFLOP/s)",HIB,166.056,158.009,,,,,,,,,,,, "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: FFTW - Precision: float - X Y Z: 512 (GFLOP/s)",HIB,136.085,133.271,130.463,,,,,,,,,,, "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: FFTW - Precision: float - X Y Z: 256 (GFLOP/s)",HIB,345.601,331.454,341.133,,,,,,,,,,, "C-Blosc - Test: blosclz bitshuffle - Buffer Size: 256MB (MB/s)",HIB,,,,,,,,,,,,5615.4,5389.3,5455.4 "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: Stock - Precision: float-long - X Y Z: 128 (GFLOP/s)",HIB,164.817,158.419,,,,,,,,,,,, "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: FFTW - Precision: float - X Y Z: 128 (GFLOP/s)",HIB,140.098,145.298,144.142,,,,,,,,,,, "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: Stock - Precision: double-long - X Y Z: 128 (GFLOP/s)",HIB,120.195,124.546,,,,,,,,,,,, "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: FFTW - Precision: float-long - X Y Z: 512 (GFLOP/s)",HIB,246.417,238.175,,,,,,,,,,,, "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: FFTW - Precision: double - X Y Z: 256 (GFLOP/s)",HIB,64.8474,63.6836,62.712,,,,,,,,,,, "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: FFTW - Precision: double-long - X Y Z: 256 (GFLOP/s)",HIB,127.353,131.689,,,,,,,,,,,, "QMCPACK - Input: O_ae_pyscf_UHF (Execution Time - sec)",LIB,,,,,,,,,,,,214.65,207.84,208.62 "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: Stock - Precision: double-long - X Y Z: 256 (GFLOP/s)",HIB,67.4313,65.5461,,,,,,,,,,,, "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: Stock - Precision: double-long - X Y Z: 128 (GFLOP/s)",HIB,87.9144,90.2338,,,,,,,,,,,, "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: Stock - Precision: double-long - X Y Z: 512 (GFLOP/s)",HIB,135.652,132.365,,,,,,,,,,,, "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: FFTW - Precision: float - X Y Z: 512 (GFLOP/s)",HIB,242.8,238.309,236.917,,,,,,,,,,, "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: Stock - Precision: float-long - X Y Z: 256 (GFLOP/s)",HIB,162.018,158.115,,,,,,,,,,,, "C-Blosc - Test: blosclz shuffle - Buffer Size: 16MB (MB/s)",HIB,,,,,,,,,,,,16680.2,16762.6,16392.9 "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: FFTW - Precision: double - X Y Z: 1024 (GFLOP/s)",HIB,82.0966,80.4689,,,,,,,,,,,, "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: Stock - Precision: double - X Y Z: 256 (GFLOP/s)",HIB,149.777,146.839,,,,,,,,,,,, "C-Blosc - Test: blosclz shuffle - Buffer Size: 64MB (MB/s)",HIB,,,,,,,,,,,,12239.3,12161.8,12008 "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: Stock - Precision: double - X Y Z: 256 (GFLOP/s)",HIB,65.75,66.9959,,,,,,,,,,,, "C-Blosc - Test: blosclz shuffle - Buffer Size: 8MB (MB/s)",HIB,,,,,,,,,,,,14338.2,14241.2,14082.4 "C-Blosc - Test: blosclz shuffle - Buffer Size: 32MB (MB/s)",HIB,,,,,,,,,,,,16111.4,16050.9,15827.9 "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: Stock - Precision: double - X Y Z: 512 (GFLOP/s)",HIB,133.759,131.436,,,,,,,,,,,, "QMCPACK - Input: Li2_STO_ae (Execution Time - sec)",LIB,,,,,,,,,,,,99.816,98.175,99.261 "C-Blosc - Test: blosclz shuffle - Buffer Size: 128MB (MB/s)",HIB,,,,,,,,,,,,8707.4,8640,8564.3 "C-Blosc - Test: blosclz noshuffle - Buffer Size: 128MB (MB/s)",HIB,,,,,,,,,,,,8089.4,8059.2,7960.2 "C-Blosc - Test: blosclz noshuffle - Buffer Size: 256MB (MB/s)",HIB,,,,,,,,,,,,5409.4,5333.4,5324.3 "C-Blosc - Test: blosclz bitshuffle - Buffer Size: 16MB (MB/s)",HIB,,,,,,,,,,,,16895,16810.4,16633.4 "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: Stock - Precision: float-long - X Y Z: 256 (GFLOP/s)",HIB,322.715,327.718,,,,,,,,,,,, "C-Blosc - Test: blosclz noshuffle - Buffer Size: 16MB (MB/s)",HIB,,,,,,,,,,,,15231.9,15269.2,15041.6 "QMCPACK - Input: H4_ae (Execution Time - sec)",LIB,,,,,,,,,,,,12.52,12.68,12.7 "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: FFTW - Precision: double-long - X Y Z: 512 (GFLOP/s)",HIB,67.0103,66.1912,,,,,,,,,,,, "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: Stock - Precision: float-long - X Y Z: 512 (GFLOP/s)",HIB,128.23,129.794,,,,,,,,,,,, "C-Blosc - Test: blosclz noshuffle - Buffer Size: 32MB (MB/s)",HIB,,,,,,,,,,,,14712.6,14746.7,14569.9 "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: FFTW - Precision: double-long - X Y Z: 1024 (GFLOP/s)",HIB,138.026,136.462,,,,,,,,,,,, "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: Stock - Precision: float-long - X Y Z: 512 (GFLOP/s)",HIB,244.606,241.839,,,,,,,,,,,, "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: Stock - Precision: float - X Y Z: 512 (GFLOP/s)",HIB,242.763,245.522,,,,,,,,,,,, "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: FFTW - Precision: double-long - X Y Z: 512 (GFLOP/s)",HIB,124.494,123.112,,,,,,,,,,,, "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: Stock - Precision: double - X Y Z: 128 (GFLOP/s)",HIB,89.0188,90.0107,,,,,,,,,,,, "C-Blosc - Test: blosclz shuffle - Buffer Size: 256MB (MB/s)",HIB,,,,,,,,,,,,5519.3,5580.3,5520.6 "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: FFTW - Precision: double-long - X Y Z: 1024 (GFLOP/s)",HIB,82.8177,81.9652,,,,,,,,,,,, "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: Stock - Precision: double - X Y Z: 512 (GFLOP/s)",HIB,72.0271,71.3098,,,,,,,,,,,, "C-Blosc - Test: blosclz noshuffle - Buffer Size: 8MB (MB/s)",HIB,,,,,,,,,,,,12794.5,12855.3,12742.3 "C-Blosc - Test: blosclz bitshuffle - Buffer Size: 32MB (MB/s)",HIB,,,,,,,,,,,,15811.9,15827.9,15691 "C-Blosc - Test: blosclz noshuffle - Buffer Size: 64MB (MB/s)",HIB,,,,,,,,,,,,11321.9,11315,11238.1 "C-Blosc - Test: blosclz bitshuffle - Buffer Size: 64MB (MB/s)",HIB,,,,,,,,,,,,11927.7,11905.5,11839.7 "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: FFTW - Precision: float-long - X Y Z: 1024 (GFLOP/s)",HIB,152.251,153.363,,,,,,,,,,,, "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: FFTW - Precision: double - X Y Z: 512 (GFLOP/s)",HIB,123.786,122.949,,,,,,,,,,,, "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: FFTW - Precision: float - X Y Z: 128 (GFLOP/s)",HIB,175.042,176.183,175.272,,,,,,,,,,, "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: Stock - Precision: float-long - X Y Z: 1024 (GFLOP/s)",HIB,299.635,297.937,,,,,,,,,,,, "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: Stock - Precision: double-long - X Y Z: 256 (GFLOP/s)",HIB,156.736,157.55,,,,,,,,,,,, "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: FFTW - Precision: float - X Y Z: 1024 (GFLOP/s)",HIB,151.717,152.472,152.035,,,,,,,,,,, "QMCPACK - Input: simple-H2O (Execution Time - sec)",LIB,,,,,,,,,,,,29.288,29.186,29.146 "DuckDB - Benchmark: TPC-H Parquet (sec)",LIB,178.042,,,178.825,,,,,,,,,, "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: Stock - Precision: float-long - X Y Z: 1024 (GFLOP/s)",HIB,153.32,153.985,,,,,,,,,,,, "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: Stock - Precision: double-long - X Y Z: 512 (GFLOP/s)",HIB,71.7427,71.4551,,,,,,,,,,,, "C-Blosc - Test: blosclz bitshuffle - Buffer Size: 8MB (MB/s)",HIB,,,,,,,,,,,,14873.2,14846.5,14815.4 "QMCPACK - Input: FeCO6_b3lyp_gms (Execution Time - sec)",LIB,,,,,,,,,,,,128.73,129.2,129.23 "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: FFTW - Precision: float-long - X Y Z: 512 (GFLOP/s)",HIB,134.078,133.67,,,,,,,,,,,, "QMCPACK - Input: LiH_ae_MSD (Execution Time - sec)",LIB,,,,,,,,,,,,94.265,94.023,94.301 "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: Stock - Precision: float - X Y Z: 128 (GFLOP/s)",HIB,161.815,161.364,,,,,,,,,,,, "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: Stock - Precision: float - X Y Z: 1024 (GFLOP/s)",HIB,152.494,152.916,,,,,,,,,,,, "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: Stock - Precision: double - X Y Z: 1024 (GFLOP/s)",HIB,82.6559,82.8318,,,,,,,,,,,, "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: FFTW - Precision: float - X Y Z: 1024 (GFLOP/s)",HIB,261.576,262.003,,,,,,,,,,,, "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: Stock - Precision: float - X Y Z: 1024 (GFLOP/s)",HIB,298.194,297.888,,,,,,,,,,,, "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: Stock - Precision: float-long - X Y Z: 128 (GFLOP/s)",HIB,123.364,123.259,,,,,,,,,,,, "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: Stock - Precision: double-long - X Y Z: 1024 (GFLOP/s)",HIB,154.939,155.044,,,,,,,,,,,, "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: Stock - Precision: double-long - X Y Z: 1024 (GFLOP/s)",HIB,82.7248,82.771,,,,,,,,,,,, "DuckDB - Benchmark: IMDB (sec)",LIB,259.420,,,259.283,,,,,,,,,, "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: Stock - Precision: double - X Y Z: 1024 (GFLOP/s)",HIB,154.89,154.81,,,,,,,,,,,, "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: FFTW - Precision: float-long - X Y Z: 1024 (GFLOP/s)",HIB,262.189,262.087,,,,,,,,,,,, "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: FFTW - Precision: double - X Y Z: 1024 (GFLOP/s)",HIB,137.37,137.378,,,,,,,,,,,,