2024 Server CPUs

Benchmarks by Michael Larabel for a future article. 2 x Intel Xeon Max 9480 testing with a Quanta Cloud QuantaGrid D54Q-2U S6Q-MB-MPS (3B05.TEL4P1 BIOS) and ASPEED on Ubuntu 24.04 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 2405073-NE-UPLOAD15789
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AV1 2 Tests
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Database Test Suite 6 Tests
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Game Development 6 Tests
HPC - High Performance Computing 30 Tests
Imaging 5 Tests
Java Tests 2 Tests
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Machine Learning 7 Tests
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Common Workstation Benchmarks 3 Tests

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Identifier
Performance Per
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  Test
  Duration
Xeon Platinum 8490H
April 16
  1 Day, 1 Hour, 45 Minutes
Xeon Platinum 8490H 2P
April 17
  1 Day, 3 Hours, 9 Minutes
Xeon Platinum 8592+
April 11
  1 Day, 2 Hours, 43 Minutes
Xeon Platinum 8592+ 2P
April 08
  1 Day, 4 Hours, 29 Minutes
Xeon Max 9468
April 21
  1 Day, 8 Hours, 22 Minutes
Xeon Max 9468 2P
April 22
  1 Day, 5 Hours, 47 Minutes
Xeon Max 9480
April 26
  1 Day, 6 Hours, 43 Minutes
Xeon Max 9480 2P
April 27
  1 Day, 12 Hours, 13 Minutes
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  1 Day, 5 Hours, 39 Minutes

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2024 Server CPUs Benchmarks by Michael Larabel for a future article. 2 x Intel Xeon Max 9480 testing with a Quanta Cloud QuantaGrid D54Q-2U S6Q-MB-MPS (3B05.TEL4P1 BIOS) and ASPEED on Ubuntu 24.04 via the Phoronix Test Suite. ,,"Xeon Platinum 8592+ 2P","Xeon Platinum 8592+","Xeon Platinum 8490H","Xeon Platinum 8490H 2P","Xeon Max 9468","Xeon Max 9468 2P","Xeon Max 9480","Xeon Max 9480 2P" Processor,,2 x INTEL XEON PLATINUM 8592+ @ 3.90GHz (128 Cores / 256 Threads),INTEL XEON PLATINUM 8592+ @ 3.90GHz (64 Cores / 128 Threads),Intel Xeon Platinum 8490H @ 3.50GHz (60 Cores / 120 Threads),2 x Intel Xeon Platinum 8490H @ 3.50GHz (120 Cores / 240 Threads),Intel Xeon Max 9468 @ 3.50GHz (48 Cores / 96 Threads),2 x Intel Xeon Max 9468 @ 3.50GHz (96 Cores / 192 Threads),Intel Xeon Max 9480 @ 3.50GHz (56 Cores / 112 Threads),2 x Intel Xeon Max 9480 @ 3.50GHz (112 Cores / 224 Threads) Motherboard,,Quanta Cloud QuantaGrid D54Q-2U S6Q-MB-MPS (3B05.TEL4P1 BIOS),Quanta Cloud QuantaGrid D54Q-2U S6Q-MB-MPS (3B05.TEL4P1 BIOS),Quanta Cloud QuantaGrid D54Q-2U S6Q-MB-MPS (3B05.TEL4P1 BIOS),Quanta Cloud QuantaGrid D54Q-2U S6Q-MB-MPS (3B05.TEL4P1 BIOS),Quanta Cloud QuantaGrid D54Q-2U S6Q-MB-MPS (3B05.TEL4P1 BIOS),Quanta Cloud QuantaGrid D54Q-2U S6Q-MB-MPS (3B05.TEL4P1 BIOS),Quanta Cloud QuantaGrid D54Q-2U S6Q-MB-MPS (3B05.TEL4P1 BIOS),Quanta Cloud QuantaGrid D54Q-2U S6Q-MB-MPS (3B05.TEL4P1 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 Memory,,1008GB,512GB,512GB,1008GB,576GB,1136GB,576GB,1136GB Disk,,2 x 1920GB KIOXIA KCD8XPUG1T92,2 x 1920GB KIOXIA KCD8XPUG1T92,2 x 1920GB KIOXIA KCD8XPUG1T92,2 x 1920GB KIOXIA KCD8XPUG1T92,2 x 1920GB KIOXIA KCD8XPUG1T92,2 x 1920GB KIOXIA KCD8XPUG1T92,2 x 1920GB KIOXIA KCD8XPUG1T92,2 x 1920GB KIOXIA KCD8XPUG1T92 Graphics,,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 OS,,Ubuntu 24.04,Ubuntu 24.04,Ubuntu 24.04,Ubuntu 24.04,Ubuntu 24.04,Ubuntu 24.04,Ubuntu 24.04,Ubuntu 24.04 Kernel,,6.9.0-060900rc3-generic (x86_64),6.9.0-060900rc3-generic (x86_64),6.9.0-060900rc3-generic (x86_64),6.9.0-060900rc3-generic (x86_64),6.9.0-060900rc3-generic (x86_64),6.9.0-060900rc3-generic (x86_64),6.9.0-060900rc3-generic (x86_64),6.9.0-060900rc3-generic (x86_64) 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 File-System,,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4 Screen Resolution,,1920x1200,1920x1200,1920x1200,1920x1200,1920x1200,1920x1200,1920x1200,1920x1200 ,,"Xeon Platinum 8592+ 2P","Xeon Platinum 8592+","Xeon Platinum 8490H","Xeon Platinum 8490H 2P","Xeon Max 9468","Xeon Max 9468 2P","Xeon Max 9480","Xeon Max 9480 2P" "BRL-CAD - VGR Performance Metric (VGR Performance Metric)",HIB,5186677,916904,833892,4136969,713937,3658790,767812,4075342 "oneDNN - Harness: Deconvolution Batch shapes_1d - Engine: CPU (ms)",LIB,38.0813,6.69692,6.15856,16.5507,5.30953,13.4500,6.09747,16.0901 "oneDNN - Harness: IP Shapes 3D - Engine: CPU (ms)",LIB,0.738442,0.841608,0.771506,0.714699,4.32465,4.28399,4.27481,4.17553 "ASKAP - Test: tConvolve OpenMP - Gridding (Million Grid Points/sec)",HIB,20204.9,19141.8,19798.5,17010.8,4173.46,3916.78,4438.58,3836.73 "oneDNN - Harness: Recurrent Neural Network Training - Engine: CPU (ms)",LIB,626.138,703.474,623.604,635.154,1200.75,1966.88,1180.85,2776.52 "Llamafile - Test: wizardcoder-python-34b-v1.0.Q6_K - Acceleration: CPU (Tokens/sec)",HIB,3.05,4.08,5.85,3.82,1.47,1.77,1.54,1.54 "NAS Parallel Benchmarks - Test / Class: SP.C (Mop/s)",HIB,228184.68,109416.42,71245.26,147311.14,58815.36,135939.25,69776.41,141954.15 "NAS Parallel Benchmarks - Test / Class: LU.C (Mop/s)",HIB,455312.09,232012.77,135125.15,261127.09,126171.52,246822.52,131606.86,257384.55 "OpenVINO - Model: Handwritten English Recognition FP16-INT8 - Device: CPU (FPS)",HIB,5570.63,2924.66,1643.43,4744.05,2074.30,3998.02,2243.84,4351.59 "ASKAP - Test: tConvolve MPI - Gridding (Mpix/sec)",HIB,72004.0,37265.9,21314.2,41773.0,21766.5,42939.2,23250.2,45195.1 "OSPRay - Benchmark: particle_volume/ao/real_time (Items/sec)",HIB,54.1195,30.8404,21.9324,38.2235,16.0502,29.5018,18.5533,33.1125 "OSPRay - Benchmark: particle_volume/scivis/real_time (Items/sec)",HIB,53.9348,30.6799,21.8932,38.2269,16.0869,29.3496,18.4851,33.1275 "ASKAP - Test: tConvolve MPI - Degridding (Mpix/sec)",HIB,59139.2,31177.2,17891.6,34614.1,18522,36900.5,20561.4,40368.6 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (FPS)",HIB,545.21,284.64,167.83,423.18,202.59,373.50,217.11,401.45 "OpenFOAM - Input: drivaerFastback, Medium Mesh Size - Execution Time (sec)",LIB,137.03802,302.0641,420.6467,196.49644,440.83113,201.10956,410.29005,186.32539 "miniBUDE - Implementation: OpenMP - Input Deck: BM1 (Billion Interactions/s)",HIB,199.734,106.395,82.848,133.628,63.620,108.397,70.843,114.902 "miniBUDE - Implementation: OpenMP - Input Deck: BM1 (GFInst/s)",HIB,4993.343,2659.883,2071.189,3340.694,1590.501,2709.930,1771.065,2872.562 "OpenVINO - Model: Person Re-Identification Retail FP16 - Device: CPU (FPS)",HIB,18375.63,9515.86,5943.66,15519.92,6717.65,13102.28,7207.74,14033.94 "Coremark - CoreMark Size 666 - Iterations Per Second (Iterations/Sec)",HIB,4966250.777983,2369998.356940,2194630.600449,3902076.243612,1614763.703237,2993136.601832,1855135.326098,3279262.530349 "LULESH - (z/s)",HIB,70826.734,38433.973,23072.302,43724.062,23848.540,52102.668,25831.838,53269.469 "OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,12124,23125,31380,14138,37055,16645,33790,15357 "John The Ripper - Test: bcrypt (Real C/S)",HIB,206778,105781,94551,183603,67875,133866,79144,155959 "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS)",HIB,10934.17,5725.03,3606.12,7862.58,3802.61,7127.28,4093.73,7689.32 "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS)",HIB,8719.37,4656.92,3325.90,5483.81,2935.47,5576.86,2877.32,5525.56 "John The Ripper - Test: Blowfish (Real C/S)",HIB,205499,105831,94513,183583,67893,134562,79152,156658 "OpenSSL - Algorithm: ChaCha20 (byte/s)",HIB,684284382760,344150916937,316126421173,624402972947,226597354153,449908494927,263740690067,522912403347 "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS)",HIB,48122.16,26943.42,15943.17,47654.95,19183.83,37710.60,20910.53,40032.81 "oneDNN - Harness: Convolution Batch Shapes Auto - Engine: CPU (ms)",LIB,0.306795,0.585804,0.650618,0.438154,9.19434,7.75431,8.75105,7.06043 "Xmrig - Variant: GhostRider - Hash Count: 1M (H/s)",HIB,16324.7,8378.3,5808.8,11263.2,5446.8,10975.8,6122.3,12115.0 "OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,14358,31993,36649,16837,42837,19701,39238,18111 "NAS Parallel Benchmarks - Test / Class: EP.D (Mop/s)",HIB,16004.07,8089.14,7562.80,14946.76,5366.69,10970.45,6445.09,12793.01 "OpenSSL - Algorithm: SHA256 (byte/s)",HIB,131976050120,66573957920,61806994523,119106802107,44439185187,88635753413,51840436763,103382860113 "OpenSSL - Algorithm: AES-256-GCM (byte/s)",HIB,1497529939377,744387683670,700239352717,1369534328470,507456728087,1011898993323,592014115453,1181148957353 "OpenSSL - Algorithm: RSA4096 (verify/s)",HIB,2057021.6,1036735.6,974189.9,1916162.9,697707.2,1395446.4,813667.6,1627941.4 "ACES DGEMM - Sustained Floating-Point Rate (GFLOP/s)",HIB,58.253340,29.141078,23.543705,45.965955,19.768930,39.345732,22.539990,44.668302 "TensorFlow - Device: CPU - Batch Size: 1 - Model: ResNet-50 (images/sec)",HIB,3.85,6.43,10.53,4.39,11.29,5.11,9.99,4.37 "NAS Parallel Benchmarks - Test / Class: CG.C (Mop/s)",HIB,98764.93,63760.45,33811.63,58128.24,35116.55,65396.22,35234.06,66492.44 "Llamafile - Test: llava-v1.5-7b-q4 - Acceleration: CPU (Tokens/sec)",HIB,7.49,16.61,20.95,10.44,7.67,7.77,8.13,7.26 "OpenSSL - Algorithm: SHA512 (byte/s)",HIB,46520760707,23886054770,22219927723,42846254477,16199261277,32304222993,18893980783,37564522053 "ASTC Encoder - Preset: Exhaustive (MT/s)",HIB,8.9091,4.6303,4.2689,8.3701,3.1204,6.2126,3.6276,7.2075 "ASTC Encoder - Preset: Very Thorough (MT/s)",HIB,14.6334,7.6240,7.0885,13.7518,5.1342,10.2051,5.9702,11.8875 "Aircrack-ng - (k/s)",HIB,64181.293,153584.203,147469.328,53914.933,117588.992,83665.758,134048.964,65663.823 "TensorFlow - Device: CPU - Batch Size: 1 - Model: GoogLeNet (images/sec)",HIB,12.69,21.67,33.56,13.50,36.13,18.24,31.47,14.67 "OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,24249,50798,58026,33411,68973,38926,62540,36179 "m-queens - Time To Solve (sec)",LIB,7.402,14.257,15.211,7.881,21.030,10.840,18.102,9.285 "RocksDB - Test: Random Read (Op/s)",HIB,578392800,297517946,265366170,525049998,205346154,405533173,234469939,473755946 "Primesieve - Length: 1e12 (sec)",LIB,2.187,4.250,4.576,2.325,6.160,3.121,5.332,2.691 "John The Ripper - Test: WPA PSK (Real C/S)",HIB,797093,428116,401278,793253,286552,562875,334076,657889 "Speedb - Test: Random Read (Op/s)",HIB,586147871,315178381,276179617,551286958,211457048,419943570,244070674,497907490 "7-Zip Compression - Test: Decompression Rating (MIPS)",HIB,573410,338146,287862,557054,207738,401707,243347,469131 "OpenSSL - Algorithm: AES-128-GCM (byte/s)",HIB,1769313146013,889567506540,768804693697,1533026300727,641200848170,1277583382757,747710702660,1484669627050 "OpenSSL - Algorithm: ChaCha20-Poly1305 (byte/s)",HIB,444099144270,223625738013,225038850730,442202532977,161321058213,320396720447,187796174440,372735215297 "Pennant - Test: leblancbig (Hydro Cycle Time - sec)",LIB,2.159459,4.182707,4.955865,2.529807,5.930957,2.881099,5.114161,2.527363 "High Performance Conjugate Gradient - X Y Z: 144 144 144 - RT: 60 (GFLOP/s)",HIB,69.2976,35.1361,31.0738,60.8515,25.2423,54.4054,30.5872,62.6357 "OpenVINO - Model: Face Detection Retail FP16-INT8 - Device: CPU (FPS)",HIB,24676.86,12317.94,9004.23,20937.58,9087.12,17252.27,9686.39,18561.91 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/ao/real_time (Items/sec)",HIB,42.1295,23.7293,19.8458,36.1529,15.3984,15.9777,16.3219,15.3743 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/scivis/real_time (Items/sec)",HIB,41.9111,23.1755,19.5762,35.6026,15.5028,15.3405,16.2652,15.8207 "miniBUDE - Implementation: OpenMP - Input Deck: BM2 (Billion Interactions/s)",HIB,191.818,108.124,86.967,140.828,70.213,127.845,78.105,133.990 "miniBUDE - Implementation: OpenMP - Input Deck: BM2 (GFInst/s)",HIB,4795.462,2703.088,2174.192,3520.705,1755.333,3196.123,1952.606,3349.756 "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (FPS)",HIB,1128.78,592.20,477.77,793.64,415.96,795.63,467.08,889.18 "Primesieve - Length: 1e13 (sec)",LIB,25.021,48.406,51.820,27.107,67.324,33.921,58.159,30.196 "OpenSSL - Algorithm: RSA4096 (sign/s)",HIB,61499.6,31594.4,27431.1,54601.1,22861.0,45531.0,25441.5,48534.8 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon Obj (FPS)",HIB,173.2208,97.1861,79.3805,132.2806,64.9597,104.8425,71.8253,112.7231 "QuantLib - Configuration: Multi-Threaded (MFLOPS)",HIB,380867.5,195648.8,179647.5,350187.5,143755.3,288129.1,162727.4,316359.2 "RELION - Test: Basic - Device: CPU (sec)",LIB,155.741,290.448,373.182,203.407,412.371,214.416,384.384,201.382 "NAS Parallel Benchmarks - Test / Class: MG.C (Mop/s)",HIB,220893.78,107321.89,83448.70,163333.21,85910.95,172614.10,86407.46,171436.47 "ASTC Encoder - Preset: Thorough (MT/s)",HIB,97.9383,54.4547,51.2971,86.9845,37.0051,72.3297,42.9834,83.3395 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon (FPS)",HIB,199.6089,112.6611,91.9925,152.7472,75.4690,125.7494,83.4921,129.7482 "OpenRadioss - Model: Chrysler Neon 1M (sec)",LIB,86.93,157.56,207.20,115.89,228.74,125.15,212.99,117.91 "OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,898,1709,1977,1063,2357,1237,2123,1143 "Embree - Binary: Pathtracer ISPC - Model: Crown (FPS)",HIB,153.1622,82.9663,70.0540,124.7084,58.4230,107.6299,65.3318,116.6053 "OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,759,1441,1657,894,1988,1049,1792,961 "OpenVINO - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU (FPS)",HIB,2237.69,1159.66,1068.43,1843.61,860.64,1691.79,894.87,1801.89 "NAS Parallel Benchmarks - Test / Class: IS.D (Mop/s)",HIB,7437.81,4059.70,2865.72,3960.28,3050.16,3816.70,3076.66,3819.83 "OpenVKL - Benchmark: vklBenchmarkCPU ISPC (Items / Sec)",HIB,3222,2004,1734,2716,1243,1776,1356,1852 "Xcompact3d Incompact3d - Input: input.i3d 193 Cells Per Direction (sec)",LIB,5.39125967,10.1967066,12.9293413,6.39169817,13.9692376,7.29349117,12.7997582,6.66387510 "GraphicsMagick - Operation: Resizing (Iterations/min)",HIB,96,230,229,95,245,108,213,97 "Blender - Blend File: Classroom - Compute: CPU-Only (sec)",LIB,33.61,63.61,68.61,35.91,86.67,44.71,76.87,40.38 "Helsing - Digit Range: 14 digit (sec)",LIB,48.091,89.070,93.348,50.831,123.832,65.026,107.237,58.248 "OpenVINO - Model: Person Detection FP16 - Device: CPU (FPS)",HIB,736.23,403.20,298.56,654.84,285.95,568.81,301.30,569.60 "Liquid-DSP - Threads: 256 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,6077300000,3167200000,3243800000,6116566667,2381800000,4670966667,2769066667,5367033333 "Blender - Blend File: Pabellon Barcelona - Compute: CPU-Only (sec)",LIB,41.85,80.29,87.92,46.38,106.96,55.26,97.80,51.29 "Blender - Blend File: Barbershop - Compute: CPU-Only (sec)",LIB,125.87,236.73,261.97,141.54,320.11,169.44,290.56,156.70 "OpenVINO - Model: Person Detection FP16 - Device: CPU (ms)",LIB,43.41,39.62,100.39,45.78,41.93,42.16,59.69,64.91 "srsRAN Project - Test: PUSCH Processor Benchmark, Throughput Total (Mbps)",HIB,5493.4,3088.7,2616.9,4853.6,2170.7,3787.0,2514.0,4386.6 "GraphicsMagick - Operation: Sharpen (Iterations/min)",HIB,284,167,157,265,114,199,130,227 "ONNX Runtime - Model: T5 Encoder - Device: CPU - Executor: Standard (Inferences/sec)",HIB,356.764,460.775,357.355,288.471,219.532,199.079,215.127,185.46 "Blender - Blend File: BMW27 - Compute: CPU-Only (sec)",LIB,12.76,23.72,25.89,13.74,31.66,16.55,28.49,15.29 "Blender - Blend File: Fishy Cat - Compute: CPU-Only (sec)",LIB,17.29,31.91,34.83,19.13,42.78,23.17,38.48,21.45 "GROMACS - Implementation: MPI CPU - Input: water_GMX50_bare (Ns/Day)",HIB,18.540,10.477,8.762,15.450,7.545,13.392,8.282,14.127 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time (Items/sec)",HIB,48.7576,27.1010,24.6445,42.8188,19.9102,35.9324,22.3625,39.3389 "OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,33391,59522,68006,38813,80742,45211,73366,41971 "Liquid-DSP - Threads: 256 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,2027000000,1178766667,1020833333,1616966667,838530000,1444066667,944550000,1518933333 "ASKAP - Test: tConvolve MT - Gridding (Million Grid Points/sec)",HIB,6038.92,5062.07,8088.11,7630.06,3375.32,3347.93,3406.96,4382.97 "LuxCoreRender - Scene: Rainbow Colors and Prism - Acceleration: CPU (M samples/sec)",HIB,7.22,14.28,13.54,5.96,12.80,9.64,12.97,6.51 "Xcompact3d Incompact3d - Input: X3D-benchmarking input.i3d (sec)",LIB,171.375778,323.245697,357.009712,196.808116,407.589406,189.686116,351.644165,187.224004 "WRF - Input: conus 2.5km (sec)",LIB,5601.101,10602.408,11980.806,6674.12,13273.694,7157.961,12410.29,6840.057 "Blender - Blend File: Junkshop - Compute: CPU-Only (sec)",LIB,18.31,32.08,35.96,21.15,42.85,24.99,39.17,23.45 "GraphicsMagick - Operation: Enhanced (Iterations/min)",HIB,374,228,216,342,160,269,181,301 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (FPS)",HIB,128566.81,81279.79,115106.30,189893.31,135075.07,174862.56,140144.01,176900.32 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Slow (FPS)",HIB,40.92,24.23,20.23,31.24,17.52,26.00,18.24,28.96 "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (ms)",LIB,28.17,26.85,62.46,37.58,28.73,29.98,38.50,41.57 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Medium (FPS)",HIB,41.58,24.80,20.97,32.04,18.13,26.69,18.84,29.62 "PostgreSQL - Scaling Factor: 100 - Clients: 1000 - Mode: Read Write (TPS)",HIB,33110,75396,71227,67315,69969,58952,72225,60046 "PostgreSQL - Scaling Factor: 100 - Clients: 1000 - Mode: Read Write - Average Latency (ms)",LIB,30.203,13.264,14.040,14.856,14.292,16.963,13.845,16.655 "Algebraic Multi-Grid Benchmark - (Figure Of Merit)",HIB,3609646333,1814760000,1605097000,3124402667,1588496667,3156261667,1597993333,3205161000 "Timed Linux Kernel Compilation - Build: allmodconfig (sec)",LIB,189.739,316.902,362.454,218.570,428.387,246.936,384.063,231.033 "Intel Open Image Denoise - Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only (Images / Sec)",HIB,5.09,3.32,2.71,4.48,2.27,3.49,2.39,3.66 "Intel Open Image Denoise - Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only (Images / Sec)",HIB,5.03,3.31,2.71,4.41,2.26,3.51,2.38,3.65 "OpenVINO - Model: Noise Suppression Poconet-Like FP16 - Device: CPU (FPS)",HIB,9360.89,6757.26,4209.10,7356.63,4208.49,5565.23,4386.48,5933.65 "ASTC Encoder - Preset: Medium (MT/s)",HIB,550.0168,327.7829,333.9902,484.5499,247.2979,441.6518,284.3336,483.1049 "Intel Open Image Denoise - Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only (Images / Sec)",HIB,2.40,1.58,1.29,2.18,1.08,1.72,1.14,1.74 "Liquid-DSP - Threads: 256 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,6284300000,3806833333,3500833333,5361266667,2848933333,4825133333,3222533333,5036000000 "PyTorch - Device: CPU - Batch Size: 1 - Model: ResNet-50 (batches/sec)",HIB,45.69,77.52,51.46,35.53,50.99,46.49,48.59,35.46 "7-Zip Compression - Test: Compression Rating (MIPS)",HIB,674239,441636,388190,592729,314716,491729,342363,525514 "DaCapo Benchmark - Java Test: Tradebeans (msec)",LIB,12713,11004,7270,8050,6130,6681,5994,6672 "Pennant - Test: sedovbig (Hydro Cycle Time - sec)",LIB,9.964526,16.96910,16.03080,11.28438,21.02112,13.21125,19.88246,12.10690 "ONNX Runtime - Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,153.922,308.801,313.100,156.461,319.043,166.485,301.136,153.407 "ONNX Runtime - Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,31.4589,60.4094,46.8491,29.1487,40.7289,32.8141,42.2711,29.1955 "Appleseed - Scene: Material Tester (sec)",LIB,210.815856,118.779059,126.152247,225.34692,136.492406,243.236578,134.388009,239.726773 "ONNX Runtime - Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,171.231,314.057,315.410,177.763,330.104,174.677,296.799,161.886 "ONNX Runtime - Model: GPT-2 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,236.648,270.329,222.029,180.032,176.333,141.954,168.859,132.712 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Slow (FPS)",HIB,27.11,16.06,15.71,24.71,13.36,19.75,13.89,22.14 "oneDNN - Harness: Deconvolution Batch shapes_3d - Engine: CPU (ms)",LIB,0.624250,0.907161,1.07743,0.736170,1.26407,0.945075,1.19643,0.864358 "LAMMPS Molecular Dynamics Simulator - Model: Rhodopsin Protein (ns/day)",HIB,55.496,34.301,28.716,42.281,27.629,47.512,30.843,52.244 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Medium (FPS)",HIB,30.37,16.64,17.85,27.65,15.17,22.25,15.68,24.65 "Speedb - Test: Read While Writing (Op/s)",HIB,17585737,12168413,10695360,17297027,8795408,13859254,9988176,15354400 "LAMMPS Molecular Dynamics Simulator - Model: 20k Atoms (ns/day)",HIB,56.400,37.460,34.892,50.521,28.278,46.705,32.157,51.816 "OpenVINO - Model: Noise Suppression Poconet-Like FP16 - Device: CPU (ms)",LIB,13.15,9.40,13.95,15.96,11.37,17.15,12.72,18.72 "Timed LLVM Compilation - Build System: Ninja (sec)",LIB,106.815,165.048,187.017,122.314,212.482,134.419,197.844,128.066 "oneDNN - Harness: IP Shapes 1D - Engine: CPU (ms)",LIB,0.580664,0.398446,0.539467,0.783180,0.725974,0.662387,0.617190,0.759434 "ONNX Runtime - Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,38.4240,66.5162,52.8167,36.2493,47.2703,40.5671,42.2747,33.9621 "GNU Octave Benchmark - (sec)",LIB,6.856,6.458,7.532,8.036,7.622,12.617,7.748,12.578 "OpenFOAM - Input: drivaerFastback, Small Mesh Size - Execution Time (sec)",LIB,23.558932,33.065393,42.219419,28.556037,45.947435,28.993119,41.746192,27.577291 "TensorFlow - Device: CPU - Batch Size: 512 - Model: AlexNet (images/sec)",HIB,2039.63,1486.12,1278.45,1899.64,1047.96,1604.11,1108.95,1677.62 "DaCapo Benchmark - Java Test: Tradesoap (msec)",LIB,7492,7321,4115,4215,3887,4199,3884,4069 "CloverLeaf - Input: clover_bm16 (sec)",LIB,378.05,410.59,328.47,214.80,351.29,263.33,357.57,269.20 "ONNX Runtime - Model: T5 Encoder - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,354.754,462.855,326.143,246.335,337.004,246.680,346.213,252.671 "Liquid-DSP - Threads: 128 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,1493833333,1152933333,918566667,1126466667,800186667,1091460000,882200000,1206066667 "Timed Node.js Compilation - Time To Compile (sec)",LIB,145.413,214.431,254.003,172.990,270.380,175.625,252.648,171.174 "PyTorch - Device: CPU - Batch Size: 1 - Model: ResNet-152 (batches/sec)",HIB,17.57,27.21,19.41,15.77,19.99,17.91,18.07,14.86 "ONNX Runtime - Model: GPT-2 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,195.453,248.682,191.562,144.640,191.111,135.976,188.930,136.689 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Very Fast (FPS)",HIB,65.38,38.02,50.03,67.64,40.23,51.91,41.34,52.23 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Super Fast (FPS)",HIB,66.78,39.20,66.74,69.05,53.13,52.63,54.47,54.19 "TensorFlow - Device: CPU - Batch Size: 256 - Model: AlexNet (images/sec)",HIB,1681.44,1277.46,1205.30,1730.25,986.04,1479.53,1058.99,1528.41 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (ms)",LIB,0.46,0.49,0.43,0.29,0.33,0.28,0.37,0.30 "GraphicsMagick - Operation: Swirl (Iterations/min)",HIB,689,529,502,617,394,509,432,558 "ONNX Runtime - Model: CaffeNet 12-int8 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,605.589,830.725,784.304,566.377,687.671,492.885,678.483,478.467 "CockroachDB - Workload: KV, 50% Reads - Concurrency: 512 (ops/s)",HIB,77327.1,115715.8,108953.6,68524.7,103089.8,69221.4,112265.3,66816.9 "PyTorch - Device: CPU - Batch Size: 64 - Model: ResNet-50 (batches/sec)",HIB,40.77,63.06,56.01,37.08,51.55,42.35,51.35,38.30 "PyTorch - Device: CPU - Batch Size: 256 - Model: ResNet-50 (batches/sec)",HIB,41.45,63.60,54.84,37.44,52.97,41.68,51.56,37.91 "PyTorch - Device: CPU - Batch Size: 512 - Model: ResNet-50 (batches/sec)",HIB,40.83,63.30,56.44,37.55,51.05,41.65,51.86,37.84 "LuxCoreRender - Scene: Orange Juice - Acceleration: CPU (M samples/sec)",HIB,19.91,14.74,13.46,18.70,11.86,16.91,12.50,16.64 "Timed Linux Kernel Compilation - Build: defconfig (sec)",LIB,25.872,34.591,39.450,29.981,43.421,32.143,40.501,30.530 "PyTorch - Device: CPU - Batch Size: 64 - Model: ResNet-152 (batches/sec)",HIB,16.25,23.49,20.13,14.03,19.01,15.84,19.24,14.96 "Liquid-DSP - Threads: 128 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,4450525000,3503200000,3181266667,3723666667,2670033333,3596400000,2972400000,3896500000 "ONNX Runtime - Model: yolov4 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,14.1980,20.8795,18.1413,12.7546,16.1742,13.0869,16.3898,12.5974 "Y-Cruncher - Pi Digits To Calculate: 1B (sec)",LIB,5.110,6.701,7.047,5.008,8.300,6.334,7.959,6.266 "PyTorch - Device: CPU - Batch Size: 256 - Model: ResNet-152 (batches/sec)",HIB,16.00,23.33,20.25,14.08,19.20,16.30,19.58,14.92 "OpenVINO - Model: Handwritten English Recognition FP16-INT8 - Device: CPU (ms)",LIB,22.96,21.87,36.20,25.12,23.12,24.00,24.94,25.72 "OpenRadioss - Model: Rubber O-Ring Seal Installation (sec)",LIB,86.85,54.14,59.91,88.39,59.58,70.73,59.32,81.65 "OpenRadioss - Model: INIVOL and Fluid Structure Interaction Drop Container (sec)",LIB,100.00,128.74,140.43,107.36,160.56,114.29,146.03,110.56 "PyTorch - Device: CPU - Batch Size: 512 - Model: ResNet-152 (batches/sec)",HIB,16.17,23.41,20.46,14.59,19.47,16.68,19.29,14.74 "Y-Cruncher - Pi Digits To Calculate: 500M (sec)",LIB,2.659,3.391,3.267,2.364,3.781,3.110,3.704,2.961 "ONNX Runtime - Model: yolov4 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,16.9672,22.9689,19.8593,15.5555,18.2179,14.4831,16.9166,14.4583 "CloverLeaf - Input: clover_bm64_short (sec)",LIB,31.90,39.38,39.48,26.58,41.43,32.25,42.22,32.44 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (ms)",LIB,234.24,224.64,356.38,283.11,236.52,256.63,257.50,278.52 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Ultra Fast (FPS)",HIB,73.81,47.07,74.57,72.01,63.10,54.98,63.99,58.14 "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (ms)",LIB,14.67,13.73,17.84,21.73,16.33,17.19,19.44,20.24 "ONNX Runtime - Model: fcn-resnet101-11 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,3.05085,3.30836,3.03922,2.83498,2.62544,2.17463,2.61721,2.10480 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Very Fast (FPS)",HIB,53.66,35.10,49.42,54.88,39.56,44.75,40.82,46.25 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Super Fast (FPS)",HIB,54.95,35.56,55.54,55.40,44.05,45.09,45.32,44.40 "ONNX Runtime - Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,754.805,908.187,852.326,696.980,728.469,604.755,705.606,581.769 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Ultra Fast (FPS)",HIB,57.13,39.31,60.87,55.26,48.91,46.13,50.09,45.79 "Timed FFmpeg Compilation - Time To Compile (sec)",LIB,17.389,21.357,24.056,19.506,26.458,20.788,24.840,20.008 "ONNX Runtime - Model: bertsquad-12 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,22.4251,25.1591,20.1453,16.5705,21.1702,16.6394,20.0103,17.9873 "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (ms)",LIB,2.48,2.36,3.58,2.50,2.50,2.53,2.67,2.79 "Liquid-DSP - Threads: 128 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,3520766667,3148233333,3200600000,3558600000,2351900000,3254033333,2739633333,3337066667 "TensorFlow - Device: CPU - Batch Size: 512 - Model: GoogLeNet (images/sec)",HIB,577.76,462.78,461.23,576.08,383.57,467.91,398.40,477.33 "Google Draco - Model: Church Facade (ms)",LIB,4693,4565,5670,5672,6707,6821,6693,6777 "TensorFlow - Device: CPU - Batch Size: 512 - Model: ResNet-50 (images/sec)",HIB,169.75,140.53,148.45,174.95,117.53,145.29,125.14,138.39 "GraphicsMagick - Operation: HWB Color Space (Iterations/min)",HIB,256,285,265,236,286,193,277,207 "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (ms)",LIB,11.69,11.17,16.50,15.04,12.54,13.34,13.59,14.42 "Memcached - Set To Get Ratio: 1:100 (Ops/sec)",HIB,3780240.56,4752673.79,4481667.95,3245908.40,4384040.52,3373323.92,4315467.17,3392842.38 "OpenVINO - Model: Person Re-Identification Retail FP16 - Device: CPU (ms)",LIB,6.95,6.72,9.79,7.72,7.13,7.32,7.76,7.97 "SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 4K (FPS)",HIB,165.495,177.861,164.250,156.516,146.097,122.089,151.718,127.546 "ONNX Runtime - Model: bertsquad-12 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,15.4341,19.6773,16.0956,14.5280,16.3251,13.7366,15.7394,13.5190 "SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 4K (FPS)",HIB,70.426,79.437,70.908,65.224,62.750,54.823,65.359,55.979 "Timed Godot Game Engine Compilation - Time To Compile (sec)",LIB,103.376,122.718,140.233,118.572,149.378,123.882,143.808,122.704 "x265 - Video Input: Bosphorus 4K (FPS)",HIB,39.31,38.93,37.86,37.04,29.05,27.26,31.40,27.90 "GPAW - Input: Carbon Nanotube (sec)",LIB,38.049,43.048,47.776,41.563,54.376,42.873,48.487,43.911 "OSPRay - Benchmark: particle_volume/pathtracer/real_time (Items/sec)",HIB,176.395,193.138,160.242,149.088,144.481,137.503,143.480,135.436 "SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 4K (FPS)",HIB,162.979,174.832,162.474,154.502,144.698,122.617,149.996,124.263 "GraphicsMagick - Operation: Rotate (Iterations/min)",HIB,182,203,196,172,197,148,194,143 "NWChem - Input: C240 Buckyball (sec)",LIB,1809.7,1878.3,2070.3,1960.9,2530.5,1785,2245.2,1873.1 "TensorFlow - Device: CPU - Batch Size: 256 - Model: GoogLeNet (images/sec)",HIB,501.39,423.59,448.46,528.93,375.73,447.50,386.00,449.91 "Timed Gem5 Compilation - Time To Compile (sec)",LIB,157.363,187.507,210.934,178.282,220.569,184.298,215.496,181.629 "Timed ImageMagick Compilation - Time To Compile (sec)",LIB,11.493,12.595,14.724,13.262,16.075,14.402,15.376,14.094 "Liquid-DSP - Threads: 64 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,883701250,783770000,744410000,799496667,632396667,732560000,689003333,757176667 "JPEG-XL libjxl - Input: JPEG - Quality: 90 (MP/s)",HIB,42.974,48.360,43.202,42.040,39.100,39.594,43.629,34.634 "JPEG-XL libjxl - Input: PNG - Quality: 90 (MP/s)",HIB,39.524,46.317,42.905,40.075,43.362,34.826,40.347,33.274 "Google Draco - Model: Lion (ms)",LIB,3894,3861,4731,4733,5217,5342,5188,5322 "ONNX Runtime - Model: super-resolution-10 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,214.812,234.540,205.525,188.890,195.705,173.909,190.063,169.850 "Zstd Compression - Compression Level: 19 - Compression Speed (MB/s)",HIB,17.8,18.0,14.6,15.2,14.4,13.8,14.5,13.3 "ONNX Runtime - Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,31.7109,33.3797,32.3433,30.0368,28.5164,24.7274,28.4798,24.6818 "libavif avifenc - Encoder Speed: 6 (sec)",LIB,2.805,2.971,3.169,3.044,3.730,3.776,3.550,3.738 "TensorFlow - Device: CPU - Batch Size: 256 - Model: ResNet-50 (images/sec)",HIB,150.33,129.02,143.67,161.06,119.73,141.95,123.69,135.28 "VVenC - Video Input: Bosphorus 4K - Video Preset: Faster (FPS)",HIB,13.256,15.966,15.060,12.536,14.101,11.897,14.362,11.967 "Appleseed - Scene: Disney Material (sec)",LIB,43.695399,48.425051,53.490276,48.56418,58.379116,51.245898,56.401698,49.136175 "DuckDB - Benchmark: IMDB (sec)",LIB,127.567,99.184,99.493,125.882,100.089,127.703,99.619,131.795 "RawTherapee - Total Benchmark Time (sec)",LIB,52.689,42.775,46.757,53.758,46.959,55.442,47.086,56.776 "TensorFlow - Device: CPU - Batch Size: 64 - Model: ResNet-50 (images/sec)",HIB,94.66,91.51,120.93,115.47,104.23,111.71,103.56,107.30 "SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 4K (FPS)",HIB,7.360,7.876,7.061,6.698,6.490,5.991,6.572,6.052 "Zstd Compression - Compression Level: 19, Long Mode - Compression Speed (MB/s)",HIB,9.67,9.80,7.94,8.16,7.76,7.62,7.72,7.46 "Liquid-DSP - Threads: 64 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,2154633333,1927766667,1890566667,2025000000,1640266667,1963233333,1679700000,2090466667 "TensorFlow - Device: CPU - Batch Size: 64 - Model: GoogLeNet (images/sec)",HIB,291.37,319.76,380.14,331.76,333.73,341.51,335.58,308.95 "ONNX Runtime - Model: super-resolution-10 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,251.305,259.186,227.423,212.924,217.880,205.885,213.985,199.896 "GraphicsMagick - Operation: Noise-Gaussian (Iterations/min)",HIB,194,171,158,182,150,150,158,164 "libavif avifenc - Encoder Speed: 0 (sec)",LIB,60.526,64.475,69.931,67.375,76.915,69.647,73.060,68.437 "libavif avifenc - Encoder Speed: 6, Lossless (sec)",LIB,5.613,5.784,6.278,6.172,6.836,7.121,6.605,7.038 "Zstd Compression - Compression Level: 19 - Decompression Speed (MB/s)",HIB,1165.8,1221.8,1032.0,963.6,1126.4,1040.2,1127.5,1039.2 "OpenRadioss - Model: Cell Phone Drop Test (sec)",LIB,26.88,27.90,31.49,28.22,33.75,27.51,31.92,27.63 "ONNX Runtime - Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,34.6628,34.4595,34.0021,33.6082,29.9973,27.6074,29.4250,27.7772 "Zstd Compression - Compression Level: 19, Long Mode - Decompression Speed (MB/s)",HIB,1189.7,1242.6,1069.1,992.1,1131.1,1041.8,1133.3,1046.0 "Timed Mesa Compilation - Time To Compile (sec)",LIB,16.183,17.258,19.226,18.293,20.175,18.474,19.650,18.138 "Liquid-DSP - Threads: 64 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,2620066667,2475500000,2539200000,2655500000,2138766667,2494050000,2308966667,2491340000 "OpenVINO - Model: Face Detection Retail FP16-INT8 - Device: CPU (ms)",LIB,5.18,5.19,6.43,5.72,5.27,5.55,5.77,6.02 "QMCPACK - Input: Li2_STO_ae (Execution Time - sec)",LIB,97.911,105.98,109.30,101.629,121.19,102.12,117.81,106.27 "Graph500 - Scale: 26 (sssp max_TEPS)",HIB,667365000,539613000,,,,,, "OpenFOAM - Input: drivaerFastback, Small Mesh Size - Mesh Time (sec)",LIB,29.325125,31.704905,31.384585,35.604097,31.781874,32.481993,31.998248,28.840157 "VVenC - Video Input: Bosphorus 4K - Video Preset: Fast (FPS)",HIB,6.960,7.392,6.719,6.480,6.324,6.023,6.501,6.077 "libavif avifenc - Encoder Speed: 2 (sec)",LIB,33.650,34.791,37.752,37.311,41.125,38.653,39.876,38.136 "TensorFlow - Device: CPU - Batch Size: 64 - Model: AlexNet (images/sec)",HIB,858.84,819.89,969.62,996.47,841.68,932.59,852.36,940.40 "Timed PHP Compilation - Time To Compile (sec)",LIB,40.381,41.846,48.007,46.644,48.708,46.871,47.951,46.571 "FFmpeg - Encoder: libx265 - Scenario: Upload (FPS)",HIB,26.80,26.93,24.97,24.56,23.33,22.34,23.77,23.30 "OpenFOAM - Input: drivaerFastback, Medium Mesh Size - Mesh Time (sec)",LIB,139.61713,148.40248,160.72685,162.02669,153.12467,134.78213,150.66848,159.31171 "Node.js V8 Web Tooling Benchmark - (runs/s)",HIB,17.02,17.42,15.76,15.49,15.59,14.99,15.62,14.51 "JPEG-XL libjxl - Input: JPEG - Quality: 100 (MP/s)",HIB,31.610,32.239,28.754,28.163,26.864,27.325,27.750,27.260 "Timed Wasmer Compilation - Time To Compile (sec)",LIB,30.472,30.174,34.933,35.455,35.657,36.197,35.201,35.700 "Apache IoTDB - Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 (point/sec)",HIB,89231850,92709751,87797206,80169620,82455664,77501248,83475645,78057728 "Numpy Benchmark - (Score)",HIB,519.89,520.22,455.57,456.18,461.61,435.21,464.72,439.84 "JPEG-XL libjxl - Input: PNG - Quality: 100 (MP/s)",HIB,30.966,31.348,28.100,27.659,26.249,26.842,27.087,26.994 "libavif avifenc - Encoder Speed: 10, Lossless (sec)",LIB,4.579,4.456,4.923,5.074,4.916,5.317,4.867,5.311 "FFmpeg - Encoder: libx265 - Scenario: Video On Demand (FPS)",HIB,53.29,53.99,49.84,48.77,47.34,45.29,48.14,46.79 "DuckDB - Benchmark: TPC-H Parquet (sec)",LIB,144.258,132.873,145.574,155.730,146.868,156.136,145.238,158.310 "OpenVINO - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU (ms)",LIB,57.13,55.07,55.99,65.02,55.74,56.71,62.53,62.11 "Apache IoTDB - Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100 (point/sec)",HIB,92771639,94616807,90871770,83651785,85744542,80770465,86354518,80139566 "WebP Image Encode - Encode Settings: Quality 100, Lossless, Highest Compression (MP/s)",HIB,0.59,0.60,0.52,0.51,0.55,0.54,0.55,0.54 "FFmpeg - Encoder: libx265 - Scenario: Platform (FPS)",HIB,53.22,53.92,49.79,48.76,47.32,45.95,48.35,46.59 "Apache IoTDB - Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 (Latency)",LIB,286.78,280.26,294.33,317.36,314.44,328.41,309.03,325.97 "Apache IoTDB - Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100 (Latency)",LIB,82.73,81.73,85.16,92.23,90.02,94.84,89.53,95.39 "Graph500 - Scale: 26 (sssp median_TEPS)",HIB,484977000,416523000,,,,,, "ClickHouse - 100M Rows Hits Dataset, First Run / Cold Cache (Queries/min, Geo Mean)",HIB,423.30,437.20,465.50,485.63,446.40,491.89,461.62,460.66 "srsRAN Project - Test: PDSCH Processor Benchmark, Throughput Thread (Mbps)",HIB,755.5,742.9,680.2,675.5,702.6,651.9,705.5,663.8 "WebP Image Encode - Encode Settings: Quality 100, Lossless (MP/s)",HIB,1.50,1.50,1.31,1.30,1.40,1.39,1.39,1.39 "OpenRadioss - Model: Bird Strike on Windshield (sec)",LIB,113.15,110.32,117.41,124.44,126.89,116.49,120.76,119.03 "Appleseed - Scene: Emily (sec)",LIB,129.956841,119.803392,120.750285,130.618252,132.132632,137.457437,128.603449,137.004266 "DaCapo Benchmark - Java Test: Jython (msec)",LIB,3466,3424,3801,3892,3785,3926,3707,3921 "ClickHouse - 100M Rows Hits Dataset, Second Run (Queries/min, Geo Mean)",HIB,443.58,455.79,486.05,507.56,465.06,499.18,474.68,467.96 "ClickHouse - 100M Rows Hits Dataset, Third Run (Queries/min, Geo Mean)",HIB,438.60,458.23,481.66,501.63,470.02,501.07,476.91,471.79 "Timed CPython Compilation - Build Configuration: Released Build, PGO + LTO Optimized (sec)",LIB,244.952,244.824,277.39,279.692,275.385,276.457,273.515,276.229 "DaCapo Benchmark - Java Test: Apache Lucene Search Index (msec)",LIB,3345,3242,3581,3689,3378,3643,3396,3537 "WebP Image Encode - Encode Settings: Quality 100 (MP/s)",HIB,11.31,11.36,10.11,10.05,10.13,10.01,10.13,10.03 "Timed CPython Compilation - Build Configuration: Default (sec)",LIB,16.928,17.076,19.201,18.931,19.117,18.812,18.847,18.824 "WebP Image Encode - Encode Settings: Quality 100, Highest Compression (MP/s)",HIB,3.46,3.47,3.08,3.07,3.10,3.09,3.10,3.09 "SecureMark - Benchmark: SecureMark-TLS (marks)",HIB,308434,309896,277205,275472,277647,277589,277260,277298 "Google SynthMark - Test: VoiceMark_100 (Voices)",HIB,799.491,799.717,711.378,712.697,711.101,710.916,712.013,712.085 "QuantLib - Configuration: Single-Threaded (MFLOPS)",HIB,3586.3,3600.5,3209.6,3210.1,3225.7,3207.0,3229.1,3222.8 "Liquid-DSP - Threads: 1 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,18200533,18774333,16882333,16843333,16906333,16904667,16885333,16884000 "PyBench - Total For Average Test Times (Milliseconds)",LIB,692,691,765,767,763,763,762,763 "Liquid-DSP - Threads: 1 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,38950600,40244000,36506000,36461000,36537667,36497667,36539000,36521333 "Liquid-DSP - Threads: 1 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,70499000,73140667,67074667,66991333,67130333,67064000,67127667,66266000 "DaCapo Benchmark - Java Test: Apache Kafka (msec)",LIB,5611,5560,5106,5113,5108,5101,5102,5088 "OpenRadioss - Model: Bumper Beam (sec)",LIB,86.11,78.71,79.54,81.30,83.44,78.27,81.72,80.32 "nginx - Connections: 1000 (Reqs/sec)",HIB,381352.69,399698.78,,,,,367199.06, "Graph500 - Scale: 26 (bfs median_TEPS)",HIB,1204520000,1244300000,,,,,, "Graph500 - Scale: 26 (bfs max_TEPS)",HIB,1267480000,1299170000,,,,,, "srsRAN Project - Test: PUSCH Processor Benchmark, Throughput Thread (Mbps)",HIB,129.5,129.5,129.7,129.7,129.7,129.7,129.7,129.7 "ASKAP - Test: tConvolve MT - Degridding (Million Grid Points/sec)",HIB,,,,,8868.20,14665.0,9204.87,14463.4 "Stockfish - Chess Benchmark (Nodes/s)",HIB,222610378,109766345,96887479,187761769,68019088,137977203,73592230,149409082 "ONNX Runtime - Model: T5 Encoder - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,2.81739,2.15980,3.06500,4.05881,2.97094,4.05270,2.88734,3.95819 "ONNX Runtime - Model: T5 Encoder - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,2.80263,2.16966,2.79694,3.46571,4.57581,5.02267,4.64757,5.39123 "ONNX Runtime - Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,31.5324,29.9566,30.9165,33.2899,35.0665,40.4534,35.1110,40.5178 "ONNX Runtime - Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,28.8481,29.0185,29.4080,29.7536,33.3341,36.2283,33.9877,36.0039 "ONNX Runtime - Model: CaffeNet 12-int8 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,1.64919,1.20298,1.27368,1.76353,1.45280,2.02659,1.47249,2.08780 "ONNX Runtime - Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,1.32454,1.10042,1.17292,1.43573,1.37831,1.65270,1.41662,1.71875 "ONNX Runtime - Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,6.49693,3.23780,3.19298,6.39031,3.13366,6.00525,3.32030,6.51744 "ONNX Runtime - Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,5.83954,3.18392,3.17002,5.62517,3.02897,5.74491,3.37034,6.17796 "ONNX Runtime - Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,31.7907,16.5534,21.3436,34.3054,24.5535,30.4733,23.6565,34.2507 "ONNX Runtime - Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,26.0866,15.0376,18.9319,27.5944,21.2179,24.6510,23.6625,29.4448 "ONNX Runtime - Model: GPT-2 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,5.10948,4.01687,5.21520,6.90619,5.22781,7.34848,5.29027,7.30822 "ONNX Runtime - Model: GPT-2 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,4.29531,3.69649,4.49976,5.55101,5.67700,7.04111,5.91961,7.53259 "ONNX Runtime - Model: bertsquad-12 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,64.7891,50.8307,62.1276,68.8299,61.2547,72.8018,63.5353,73.9684 "ONNX Runtime - Model: bertsquad-12 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,44.5996,39.7451,49.6376,60.3589,47.2417,60.1120,49.9740,55.9019 "ONNX Runtime - Model: super-resolution-10 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,4.65431,4.26352,4.86604,5.29287,5.10914,5.74921,5.26075,5.88628 "ONNX Runtime - Model: super-resolution-10 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,3.98013,3.85774,4.39649,4.72530,4.58912,4.85818,4.67269,5.00222 "ONNX Runtime - Model: fcn-resnet101-11 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,327.875,302.266,329.036,352.738,380.902,460.673,382.109,475.254 "ONNX Runtime - Model: fcn-resnet101-11 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,100.738,109.670,116.315,92.3473,139.096,121.670,155.788,121.780 "ONNX Runtime - Model: fcn-resnet101-11 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,9.92684,9.11885,8.59719,10.83623,7.24187,8.39962,6.54965,8.26016 "ONNX Runtime - Model: yolov4 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,70.4377,47.8953,55.1204,78.3989,61.8256,76.4227,61.0107,79.3770 "ONNX Runtime - Model: yolov4 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,58.9394,43.5355,50.3522,64.2858,54.9599,69.4501,59.1795,69.2014 "oneDNN - Harness: Recurrent Neural Network Inference - Engine: CPU (ms)",LIB,538.225,488.922,409.592,633.288,734.804,1498.584,632.146,719.229 "TensorFlow - Device: CPU - Batch Size: 1 - Model: AlexNet (images/sec)",HIB,30.76,35.50,56.53,37.57,48.28,37.76,43.67,33.21 "srsRAN Project - Test: PDSCH Processor Benchmark, Throughput Total (Mbps)",HIB,30547.6,26378.1,24688.5,30108.7,21286.6,30236.0,15081.0,11866.7 "Parallel BZIP2 Compression - FreeBSD-13.0-RELEASE-amd64-memstick.img Compression (sec)",LIB,1.432362,1.847537,2.144857,1.469210,2.632077,1.982932,2.287766,1.711296 "LuxCoreRender - Scene: Danish Mood - Acceleration: CPU (M samples/sec)",HIB,7.70,7.63,6.85,7.00,6.03,6.23,6.29,5.91 "LuxCoreRender - Scene: LuxCore Benchmark - Acceleration: CPU (M samples/sec)",HIB,8.88,8.06,7.10,8.82,6.30,6.81,6.82,7.41 "LuxCoreRender - Scene: DLSC - Acceleration: CPU (M samples/sec)",HIB,12.74,9.38,8.72,11.12,7.46,10.17,8.00,10.44 "easyWave - Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400 (sec)",LIB,102.125,75.732,119.837,126.388,173.014,182.123,145.236,173.550 "easyWave - Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200 (sec)",LIB,37.660,28.698,46.289,50.834,63.428,74.866,64.883,68.860 "NAMD - Input: STMV with 1,066,628 Atoms (ns/day)",HIB,2.25422,1.43787,1.05274,1.10900,1.45223,1.88679,1.50214,1.76778 "NAMD - Input: ATPase with 327,506 Atoms (ns/day)",HIB,5.85267,4.64814,2.97021,2.21948,5.97130,7.30065,5.92501,2.56319 "ASKAP - Test: tConvolve OpenMP - Degridding (Million Grid Points/sec)",HIB,48686.8,16936.8,30471.5,51476.2,6758.81,4437.6,7046.56,7304.58 "miniFE - Problem Size: Small (CG Mflops)",HIB,42114.6,31830.2,35230.1,46877.5,20091.1,19876.5,18621.2,21583.2 "RocksDB - Test: Read While Writing (Op/s)",HIB,12425519,8926893,7841738,12321300,7439663,9624417,7366500,11223329 "CockroachDB - Workload: KV, 60% Reads - Concurrency: 512 (ops/s)",HIB,73640.9,121465.2,116603.7,72110.1,110666.9,71680.5,109388.2,71696.5 "CockroachDB - Workload: KV, 95% Reads - Concurrency: 512 (ops/s)",HIB,85613.1,135861.9,131999.7,82341.2,128125.9,80804.7,120494.3,76524.7 "PostgreSQL - Scaling Factor: 100 - Clients: 1000 - Mode: Read Only - Average Latency (ms)",LIB,1.149,0.589,0.572,1.293,0.559,1.027,0.622,1.098 "PostgreSQL - Scaling Factor: 100 - Clients: 1000 - Mode: Read Only (TPS)",HIB,881881,1699046,1748146,778141,1792636,976035,1607424,920725 "John The Ripper - Test: MD5 (Real C/S)",HIB,18438600,10922667,9583000,18166000,7626333,12958000,8957000,14609417