tests for a future article.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 2305086-NE-7773X808085
7773x
tests for a future article.
,,"a","b","5 a","5 b","5 2p a","5 2p b","7373x","2 x AMD EPYC 7373X 16-Core","7373X 2P"
Processor,,AMD EPYC 7773X 64-Core @ 2.20GHz (64 Cores / 128 Threads),AMD EPYC 7773X 64-Core @ 2.20GHz (64 Cores / 128 Threads),AMD EPYC 7573X 32-Core @ 2.80GHz (32 Cores / 64 Threads),AMD EPYC 7573X 32-Core @ 2.80GHz (32 Cores / 64 Threads),2 x AMD EPYC 7573X 32-Core @ 2.80GHz (64 Cores / 128 Threads),2 x AMD EPYC 7573X 32-Core @ 2.80GHz (64 Cores / 128 Threads),AMD EPYC 7373X 16-Core @ 3.05GHz (16 Cores / 32 Threads),2 x AMD EPYC 7373X 16-Core @ 3.05GHz (32 Cores / 64 Threads),2 x AMD EPYC 7373X 16-Core @ 3.05GHz (32 Cores / 64 Threads)
Motherboard,,AMD DAYTONA_X (RYM1009B BIOS),AMD DAYTONA_X (RYM1009B BIOS),AMD DAYTONA_X (RYM1009B BIOS),AMD DAYTONA_X (RYM1009B BIOS),AMD DAYTONA_X (RYM1009B BIOS),AMD DAYTONA_X (RYM1009B BIOS),AMD DAYTONA_X (RYM1009B BIOS),AMD DAYTONA_X (RYM1009B BIOS),AMD DAYTONA_X (RYM1009B BIOS)
Chipset,,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse
Memory,,256GB,256GB,256GB,256GB,512GB,512GB,256GB,512GB,512GB
Disk,,3841GB Micron_9300_MTFDHAL3T8TDP,3841GB Micron_9300_MTFDHAL3T8TDP,3841GB Micron_9300_MTFDHAL3T8TDP,3841GB Micron_9300_MTFDHAL3T8TDP,3841GB Micron_9300_MTFDHAL3T8TDP,3841GB Micron_9300_MTFDHAL3T8TDP,3841GB Micron_9300_MTFDHAL3T8TDP,3841GB Micron_9300_MTFDHAL3T8TDP,3841GB Micron_9300_MTFDHAL3T8TDP
Graphics,,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED
Monitor,,VE228,VE228,VE228,VE228,VE228,VE228,VE228,VE228,VE228
Network,,2 x Mellanox MT27710,2 x Mellanox MT27710,2 x Mellanox MT27710,2 x Mellanox MT27710,2 x Mellanox MT27710,2 x Mellanox MT27710,2 x Mellanox MT27710,2 x Mellanox MT27710,2 x Mellanox MT27710
OS,,Ubuntu 22.04,Ubuntu 22.04,Ubuntu 22.04,Ubuntu 22.04,Ubuntu 22.04,Ubuntu 22.04,Ubuntu 22.04,Ubuntu 22.04,Ubuntu 22.04
Kernel,,5.15.0-47-generic (x86_64),5.15.0-47-generic (x86_64),5.15.0-47-generic (x86_64),5.15.0-47-generic (x86_64),5.15.0-47-generic (x86_64),5.15.0-47-generic (x86_64),5.15.0-47-generic (x86_64),5.15.0-47-generic (x86_64),5.15.0-47-generic (x86_64)
Desktop,,GNOME Shell 42.4,GNOME Shell 42.4,GNOME Shell 42.4,GNOME Shell 42.4,GNOME Shell 42.4,GNOME Shell 42.4,GNOME Shell 42.4,GNOME Shell 42.4,GNOME Shell 42.4
Display Server,,X Server 1.21.1.3,X Server 1.21.1.3,X Server 1.21.1.3,X Server 1.21.1.3,X Server 1.21.1.3,X Server 1.21.1.3,X Server 1.21.1.3,X Server 1.21.1.3,X Server 1.21.1.3
Vulkan,,1.2.204,1.2.204,1.2.204,1.2.204,1.2.204,1.2.204,1.2.204,1.2.204,1.2.204
Compiler,,GCC 11.2.0,GCC 11.2.0,GCC 11.2.0,GCC 11.2.0,GCC 11.2.0,GCC 11.2.0,GCC 11.2.0,GCC 11.2.0,GCC 11.2.0
File-System,,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4
Screen Resolution,,1920x1080,1920x1080,1920x1080,1920x1080,1920x1080,1920x1080,1920x1080,1920x1080,1920x1080
,,"a","b","5 a","5 b","5 2p a","5 2p b","7373x","2 x AMD EPYC 7373X 16-Core","7373X 2P"
"PETSc - Test: Streams (MB/s)",HIB,,56185.7504,31992.6068,,,74130.1789,,,
"OpenVKL - Benchmark: vklBenchmark ISPC (Items / Sec)",HIB,470,469,340,339,452,452,213,309,306
"OpenFOAM - Input: drivaerFastback, Medium Mesh Size - Execution Time (sec)",LIB,40.481652,363.7359,428.6592,427.71276,205.46392,203.65118,596.96916,334.89524,332.03432
"OpenFOAM - Input: drivaerFastback, Medium Mesh Size - Mesh Time (sec)",LIB,25.348583,120.39337,117.4378,117.6045,99.384145,99.93268,149.00372,114.44612,116.27444
"Blender - Blend File: Barbershop - Compute: CPU-Only (sec)",LIB,260.83,259.87,408.79,,213.6,213.46,768.94,393.87,396.8
"LeelaChessZero - Backend: Eigen (Nodes/s)",HIB,,5142,1238,,8286,7816,1714,1450,1357
"LeelaChessZero - Backend: BLAS (Nodes/s)",HIB,,5554,1419,,8284,7991,1955,1676,1709
"Timed LLVM Compilation - Build System: Unix Makefiles (sec)",LIB,246.957,248.481,290.539,297.223,219.403,221.789,433.971,277.061,271.829
"OpenCV - Test: Graph API (ms)",LIB,,235810,206970,,,419702,,263067,363745
"NCNN - Target: CPU - Model: FastestDet (ms)",LIB,,19.08,9.25,,40.45,53.25,7.35,21.36,39.48
"NCNN - Target: CPU - Model: vision_transformer (ms)",LIB,,133.39,126.26,,144.31,145.49,140.06,145.33,144.55
"NCNN - Target: CPU - Model: regnety_400m (ms)",LIB,,53.52,26.34,,100.65,128.35,17.6,86.22,84.88
"NCNN - Target: CPU - Model: squeezenet_ssd (ms)",LIB,,19.32,14.85,,37.17,35.81,12.71,22.58,23.89
"NCNN - Target: CPU - Model: yolov4-tiny (ms)",LIB,,23.92,19.98,,38.1,45.89,18.23,31.98,33.74
"NCNN - Target: CPU - Model: resnet50 (ms)",LIB,,19.58,14.8,,80.81,120.27,13.25,25.38,30.71
"NCNN - Target: CPU - Model: alexnet (ms)",LIB,,7.13,5.48,,18.6,28.55,4.76,9.78,10.29
"NCNN - Target: CPU - Model: resnet18 (ms)",LIB,,10.89,8.12,,38.94,51.8,7.05,13.62,15.14
"NCNN - Target: CPU - Model: vgg16 (ms)",LIB,,24.04,21.08,,33.55,32.81,20.47,32.77,29.82
"NCNN - Target: CPU - Model: googlenet (ms)",LIB,,19.09,14.11,,93.29,112.43,11.76,27.63,45.41
"NCNN - Target: CPU - Model: blazeface (ms)",LIB,,8.12,3.82,,14.65,24.56,2.4,18.4,18.75
"NCNN - Target: CPU - Model: efficientnet-b0 (ms)",LIB,,15.44,9.03,,35.12,60.79,6.97,46.67,46.69
"NCNN - Target: CPU - Model: mnasnet (ms)",LIB,,11.71,6.08,,38.49,49.46,4.52,37.62,38.98
"NCNN - Target: CPU - Model: shufflenet-v2 (ms)",LIB,,15.6,7.73,,33.27,37.89,5.86,31.88,31.65
"NCNN - Target: CPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,,10.29,6.19,,21.26,28.88,4.5,24.19,29.52
"NCNN - Target: CPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,,11.3,6.46,,27.7,38.67,4.92,28.85,33.16
"NCNN - Target: CPU - Model: mobilenet (ms)",LIB,,17.84,13.7,,77.77,115.68,12.23,67.15,79.82
"Timed LLVM Compilation - Build System: Ninja (sec)",LIB,165.707,164.449,230.378,231.091,138.717,138.565,391.792,211.489,212.52
"FFmpeg - Encoder: libx265 - Scenario: Platform (FPS)",HIB,43.73,43.90,46.70,,44.31,43.64,46.67,44.56,45.72
"FFmpeg - Encoder: libx265 - Scenario: Platform (sec)",LIB,173.23,172.56956694,162.19,,170.942711463,173.56002958,162.296027345,169.985789453,165.700132761
"FFmpeg - Encoder: libx265 - Scenario: Video On Demand (FPS)",HIB,43.67,43.90,46.89,,44.97,43.77,46.66,45.67,44.38
"FFmpeg - Encoder: libx265 - Scenario: Video On Demand (sec)",LIB,173.47,172.533939506,161.54,,168.456941186,173.052257283,162.33,165.871463966,170.679636105
"OpenCV - Test: Stitching (ms)",LIB,,201160,184032,,,287492,,232977,228123
"FFmpeg - Encoder: libx265 - Scenario: Upload (FPS)",HIB,21.59,21.62,22.95,22.93,22.38,22.10,22.83,22.21,22.35
"FFmpeg - Encoder: libx265 - Scenario: Upload (sec)",LIB,116.93,116.80915814,110.01,110.14,112.819760537,114.261775562,110.605502327,113.672822126,112.961052185
"ClickHouse - 100M Rows Hits Dataset, Third Run (Queries/min, Geo Mean)",HIB,,437.35,456.30,,461.53,448.03,384.96,429.56,436.29
"ClickHouse - 100M Rows Hits Dataset, Second Run (Queries/min, Geo Mean)",HIB,,439.07,457.81,,463.68,467.46,386.60,438.36,433.56
"ClickHouse - 100M Rows Hits Dataset, First Run / Cold Cache (Queries/min, Geo Mean)",HIB,,428.51,437.20,,445.18,440.56,351.01,420.29,420.94
"ASKAP - Test: tConvolve MT - Degridding (Million Grid Points/sec)",HIB,,8308.33,9611.05,,12506.7,11068.8,10352.6,11891.4,12025.7
"ASKAP - Test: tConvolve MT - Gridding (Million Grid Points/sec)",HIB,,5493.35,6599.68,,7738.59,7176.41,8783.7,9627.34,9605.63
"Blender - Blend File: Pabellon Barcelona - Compute: CPU-Only (sec)",LIB,88.76,88.73,136.58,,71.64,71.73,252.02,127.96,127.5
"VVenC - Video Input: Bosphorus 4K - Video Preset: Fast (FPS)",HIB,6.286,6.128,6.406,6.39,5.548,5.768,5.719,5.877,5.774
"Blender - Blend File: Classroom - Compute: CPU-Only (sec)",LIB,72.45,72.02,113.31,,58.55,58.57,212.97,108.3,108.06
"OpenCV - Test: Core (ms)",LIB,,77061,68343,,,236445,,85621,98738
"oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,,1183.63,1182.61,,1390.36,1385.33,1760.49,1377.39,1370.61
"oneDNN - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU (ms)",LIB,,749.622,679.645,,1212.84,1305.96,906.609,1177.81,1349.92
"FFmpeg - Encoder: libx265 - Scenario: Live (FPS)",HIB,105.78,106.98,110.49,110.29,92.52,107.29,114.63,111.07,99.82
"FFmpeg - Encoder: libx265 - Scenario: Live (sec)",LIB,47.74,47.206774889,45.71,45.79,54.58,47.07,44.06,45.467307319,50.590873871
"OpenFOAM - Input: drivaerFastback, Small Mesh Size - Execution Time (sec)",LIB,40.450568,40.244428,50.745904,50.699752,33.001079,32.974316,78.749334,76.087652,74.593848
"OpenFOAM - Input: drivaerFastback, Small Mesh Size - Mesh Time (sec)",LIB,24.729957,25.596085,22.337396,22.706399,22.563946,23.335275,26.386727,24.265467,24.672394
"Zstd Compression - Compression Level: 19, Long Mode - Decompression Speed (MB/s)",HIB,,1190.8,1229.1,,1222.9,1227.1,1312.9,1289.9,1292.1
"Zstd Compression - Compression Level: 19, Long Mode - Compression Speed (MB/s)",HIB,,9.3,9.54,,9.57,9.5,10.1,10.1,10.1
"John The Ripper - Test: MD5 (Real C/S)",HIB,5534000,5543000,3621000,3605000,6845000,6683000,1959000,3735000,3739000
"John The Ripper - Test: HMAC-SHA512 (Real C/S)",HIB,136796000,135165000,96059000,94924000,79002000,73260000,59680000,67213000,68530000
"Z3 Theorem Prover - SMT File: 2.smt2 (sec)",LIB,,,,,,,,70.286,70.51
"VVenC - Video Input: Bosphorus 4K - Video Preset: Faster (FPS)",HIB,11.367,11.364,11.961,12.02,9.574,9.906,11.224,10.127,10.083
"OpenVINO - Model: Person Detection FP16 - Device: CPU (ms)",LIB,,3911.97,2881.04,,2975.15,2948.39,2493.98,2547.35,
"OpenVINO - Model: Person Detection FP16 - Device: CPU (FPS)",HIB,,8.05,5.48,,10.54,10.63,3.17,6.17,
"OpenVINO - Model: Person Detection FP32 - Device: CPU (ms)",LIB,,3927,2886.12,,2946.97,2952.76,2496.52,2595.65,
"OpenVINO - Model: Person Detection FP32 - Device: CPU (FPS)",HIB,,8.04,5.47,,10.64,10.64,3.16,6.1,
"OpenVINO - Model: Face Detection FP16 - Device: CPU (ms)",LIB,,2608.34,1935.6,,2013.52,2020.21,1684.86,1782.06,
"OpenVINO - Model: Face Detection FP16 - Device: CPU (FPS)",HIB,,12.16,8.23,,15.86,15.76,4.74,8.86,
"Zstd Compression - Compression Level: 19 - Decompression Speed (MB/s)",HIB,,1276.8,1304.2,,1315.6,1312,1389.6,1375.8,1394.3
"Zstd Compression - Compression Level: 19 - Compression Speed (MB/s)",HIB,,17.6,18.2,,18,18,19.2,18.6,18.9
"OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (ms)",LIB,,1175.01,886.41,,914.24,912.42,821.36,826.77,
"OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (FPS)",HIB,,27.03,17.92,,34.83,34.91,9.71,19.31,
"OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (ms)",LIB,,230.27,172.53,,182.1,180.91,151.73,162.5,
"OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (FPS)",HIB,,138.84,92.61,,175.48,176.76,52.66,98.39,
"Zstd Compression - Compression Level: 8, Long Mode - Decompression Speed (MB/s)",HIB,,1434.2,1460.1,,1454.7,1445.1,1541.7,1559.8,1538.4
"Zstd Compression - Compression Level: 8, Long Mode - Compression Speed (MB/s)",HIB,,744.5,792.1,,702.8,702.2,727,680.9,671.6
"OpenCV - Test: DNN - Deep Neural Network (ms)",LIB,,39756,39997,,,87133,,65657,82360
"Zstd Compression - Compression Level: 3, Long Mode - Decompression Speed (MB/s)",HIB,,1300.8,1361.5,,1332.3,1336.5,1413,1415.4,1414.1
"Zstd Compression - Compression Level: 3, Long Mode - Compression Speed (MB/s)",HIB,,752.6,854.2,,808.5,741.5,865.4,854.9,813.6
"Zstd Compression - Compression Level: 12 - Decompression Speed (MB/s)",HIB,,1445.9,1478.1,,1482.7,1498.9,1557.2,1563,1552
"Zstd Compression - Compression Level: 12 - Compression Speed (MB/s)",HIB,,270.8,289.1,,283.6,282.8,305.1,288.9,295
"Zstd Compression - Compression Level: 8 - Decompression Speed (MB/s)",HIB,,1390,1438.8,,1437.5,1441.1,1523.9,1523.6,1518.1
"Zstd Compression - Compression Level: 8 - Compression Speed (MB/s)",HIB,,988.5,1067.8,,1024,1013.4,913.5,1022.3,992.4
"Zstd Compression - Compression Level: 3 - Decompression Speed (MB/s)",HIB,,1277.3,1326.5,,1306.7,1309.5,1281.1,1384.1,1362.4
"Zstd Compression - Compression Level: 3 - Compression Speed (MB/s)",HIB,,2819,2856.6,,2783.7,2775.9,2661,2842.3,2801.4
"OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (ms)",LIB,,16.93,12.77,,12.66,12.66,13.36,13.52,
"OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS)",HIB,,1888.2,1252.05,,2523.57,2524.05,598.4,1181.75,
"OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (ms)",LIB,,16.93,12.84,,12.76,12.79,12.26,12.54,
"OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS)",HIB,,1889.05,1244.86,,2504.36,2498.74,652.03,1274.04,
"OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (ms)",LIB,,26.54,19,,19.58,19.69,19.99,20.33,
"OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (FPS)",HIB,,1205.11,841.49,,1632.81,1623.83,400.07,786.17,
"OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (ms)",LIB,,26.68,19.45,,20.06,20.07,17.58,17.91,
"OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (FPS)",HIB,,1198.45,822.19,,1594.14,1592.71,454.9,892.67,
"OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (ms)",LIB,,23.92,18.1,,18.26,18.25,16.58,16.7,
"OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS)",HIB,,2674.29,1767.13,,3501.69,3504.15,964.19,1914.22,
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (ms)",LIB,,1.74,1.26,,1.37,1.4,1.06,1.09,
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (FPS)",HIB,,35737.82,25209.62,,39455.86,38800.34,14994.76,29028.25,
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (ms)",LIB,,1.62,1.16,,,1.33,0.97,1.01,
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (FPS)",HIB,,38091.46,27340.96,,,40352.48,16278.25,31155.59,
"Blender - Blend File: Fishy Cat - Compute: CPU-Only (sec)",LIB,34.77,34.61,52.68,,27.96,27.9,95.96,49.27,49.44
"SPECFEM3D - Model: Layered Halfspace (sec)",LIB,30.518912661,30.115899704,49.136149469,48.738676454,25.221006745,25.472190291,91.272692415,48.717394203,49.831882811
"SPECFEM3D - Model: Water-layered Halfspace (sec)",LIB,28.081540950,27.467540273,45.70942713,44.334574335,23.936065997,23.268032641,78.600264543,43.780135473,43.859744419
"VVenC - Video Input: Bosphorus 1080p - Video Preset: Fast (FPS)",HIB,16.552,16.374,16.846,17.253,14.812,15.044,15.801,14.787,14.936
"GROMACS - Implementation: MPI CPU - Input: water_GMX50_bare (Ns/Day)",HIB,7.290,7.299,5.022,,8.285,8.222,2.985,5.248,5.193
"SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 4K (FPS)",HIB,4.863,4.826,4.743,4.76,4.784,4.842,3.993,4.644,4.676
"Blender - Blend File: BMW27 - Compute: CPU-Only (sec)",LIB,27.61,27.6,42.52,,22.59,22.51,78.75,40.61,40.47
"OpenCV - Test: Object Detection (ms)",LIB,,31910,27739,,,88553,,31850,32187
"John The Ripper - Test: WPA PSK (Real C/S)",HIB,201388,202957,130848,131072,259413,258457,70803,136260,139127
"John The Ripper - Test: bcrypt (Real C/S)",HIB,86230,91276,60192,60152,118502,117542,31573,62360,62551
"John The Ripper - Test: Blowfish (Real C/S)",HIB,86460,87360,60325,60345,118579,117771,31651,62244,62302
"QuantLib - (MFLOPS)",HIB,2746.5,2692.4,2756.9,2820.4,2760.9,2850.8,2854.1,2894.2,2907.3
"7-Zip Compression - Test: Decompression Rating (MIPS)",HIB,,411213,244220,,453996,440740,128235,232623,236136
"7-Zip Compression - Test: Compression Rating (MIPS)",HIB,,396928,271918,,403739,396844,155879,241803,243862
"SPECFEM3D - Model: Homogeneous Halfspace (sec)",LIB,17.209349082,16.817080246,24.987445867,25.089622797,14.491419469,14.415931158,51.264616343,23.273738774,23.898547572
"Embree - Binary: Pathtracer ISPC - Model: Asian Dragon Obj (FPS)",HIB,64.5117,64.6409,39.1941,39.2236,64.4091,64.0441,20.1045,35.2408,34.8566
"Embree - Binary: Pathtracer - Model: Asian Dragon Obj (FPS)",HIB,70.5238,,43.9589,44.1884,68.6922,68.7022,23.3587,38.7779,38.4256
"VVenC - Video Input: Bosphorus 1080p - Video Preset: Faster (FPS)",HIB,30.006,30.114,31.837,31.795,24.492,24.268,31.274,24.314,24.216
"eSpeak-NG Speech Engine - Text-To-Speech Synthesis (sec)",LIB,,28.157,27.826,,27.868,28.137,26.507,26.467,26.514
"SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 4K (FPS)",HIB,73.442,67.548,65.337,70.856,62.836,69.536,49.204,58.355,58.697
"ACES DGEMM - Sustained Floating-Point Rate (GFLOP/s)",HIB,29.383496,29.04569,17.8745,18.6403,31.344515,31.760876,8.024336,14.481647,14.704153
"SPECFEM3D - Model: Tomographic Model (sec)",LIB,13.862202300,13.530179394,19.089664857,19.630096342,11.224767813,11.797525585,35.505846619,18.033266557,18.331770412
"Timed FFmpeg Compilation - Time To Compile (sec)",LIB,16.928,17.042,20.378,20.64,15.455,15.344,29.979,19.56,19.697
"SPECFEM3D - Model: Mount St. Helens (sec)",LIB,11.678414616,11.75332146,18.86219907,19.355553092,9.609453868,9.59476935,37.795953129,18.406629769,17.820390395
"Z3 Theorem Prover - SMT File: 1.smt2 (sec)",LIB,,,,,,,,21.218,21.717
"oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU (ms)",LIB,,6.92145,4.49565,,10.5221,10.3685,6.82625,5.78798,5.87951
"SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 1080p (FPS)",HIB,10.295,10.234,10.76,10.828,10.41,10.495,10.023,10.195,10.434
"CloverLeaf - Lagrangian-Eulerian Hydrodynamics (sec)",LIB,,11.34,12.09,,15.67,15.51,18.26,30.67,28.59
"Embree - Binary: Pathtracer ISPC - Model: Crown (FPS)",HIB,63.3711,63.3647,40.2408,40.1199,73.3301,73.2602,21.3851,40.3604,39.9992
"Embree - Binary: Pathtracer - Model: Crown (FPS)",HIB,69.1077,,43.9492,43.9787,81.4508,81.0913,23.589,44.8797,44.216
"Xcompact3d Incompact3d - Input: input.i3d 193 Cells Per Direction (sec)",LIB,,17.2118473,19.6305008,,10.6241302,10.7624416,25.2174606,13.799696,13.717701
"Embree - Binary: Pathtracer ISPC - Model: Asian Dragon (FPS)",HIB,73.8446,73.828,44.9118,45.1054,73.9612,73.7779,23.5684,40.5062,40.1812
"Embree - Binary: Pathtracer - Model: Asian Dragon (FPS)",HIB,78.4751,,48.5228,48.5074,76.8067,76.6287,24.9073,42.8312,42.74
"ASKAP - Test: tConvolve MPI - Gridding (Mpix/sec)",HIB,,36827.5,24990.1,,49980.1,51199.1,15435,29155.1,29155.1
"ASKAP - Test: tConvolve MPI - Degridding (Mpix/sec)",HIB,,32799.5,20991.7,,41983.3,41983.3,11662,21866.3,21420.1
"oneDNN - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU (ms)",LIB,,1.26107,1.37996,,2.67801,2.88451,1.87446,2.05818,2.17496
"ASKAP - Test: Hogbom Clean OpenMP (Iterations/sec)",HIB,,806.452,869.565,,436.681,434.783,729.927,458.716,458.716
"Pennant - Test: sedovbig (Hydro Cycle Time - sec)",LIB,,9.56361,14.00111,,7.656369,7.793325,23.87947,13.28648,13.31026
"LULESH - (z/s)",HIB,,22257.137,20920.487,,42030.038,42551.898,10188.248,27032.903,27107.143
"SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 1080p (FPS)",HIB,109.984,109.711,107.382,108.364,107.1,104.169,92.984,100.587,101.821
"oneDNN - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU (ms)",LIB,,1.24618,0.62593,,0.911806,0.917226,0.609746,0.750853,0.948143
"ASKAP - Test: tConvolve OpenMP - Degridding (Million Grid Points/sec)",HIB,,19018.3,19018.3,,16641,15662.1,14792,13312.8,13312.8
"ASKAP - Test: tConvolve OpenMP - Gridding (Million Grid Points/sec)",HIB,,20481.2,17750.4,,12102.5,12678.9,13312.8,11576.3,12102.5
"Google Draco - Model: Church Facade (ms)",LIB,5793,5833,5718,,5682,5729,5406,5498,5485
"Pennant - Test: leblancbig (Hydro Cycle Time - sec)",LIB,,5.104078,7.974022,,4.294731,4.418012,14.50909,7.465373,7.419739
"Google Draco - Model: Lion (ms)",LIB,4867,4885,4760,,4734,4818,4563,4642,4614
"SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 4K (FPS)",HIB,222.837,214.933,220.813,226.733,169.112,176.107,152.194,163.328,162.784
"oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,,0.827622,1.14656,,0.674336,0.669349,1.93416,1.03456,1.04348
"SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 4K (FPS)",HIB,195.924,198.135,199.69,196.063,169.658,172.573,147.354,166.539,159.261
"Xcompact3d Incompact3d - Input: input.i3d 129 Cells Per Direction (sec)",LIB,,4.43804121,5.06756401,,2.48654294,2.48386908,6.86468983,3.9324739,4.75395298
"oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU (ms)",LIB,,3.12487,2.76234,,1.85167,1.89859,3.77803,2.70057,2.73357
"SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 1080p (FPS)",HIB,604.842,601.984,629.3,622.732,540.729,565.057,487.076,525.637,522.16
"SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 1080p (FPS)",HIB,552.241,549.834,571.084,560.565,525.154,546.034,506.517,510.787,490.986