2 x AMD EPYC 9654 96-Core testing with a AMD Titanite_4G (RTI1002E BIOS) and ASPEED on Clear Linux OS 38100 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 2301263-NE-CLEARSAPP02
Clear Sapphire
2 x AMD EPYC 9654 96-Core testing with a AMD Titanite_4G (RTI1002E BIOS) and ASPEED on Clear Linux OS 38100 via the Phoronix Test Suite.
,,"Clear Linux: 8490H 2P","Clear Linux: EPYC 9654 2P","Clear Linux"
Processor,,2 x Intel Xeon Platinum 8490H @ 3.50GHz (120 Cores / 240 Threads),2 x AMD EPYC 9654 96-Core @ 2.40GHz (192 Cores / 384 Threads),2 x AMD EPYC 9654 96-Core @ 2.40GHz (192 Cores / 384 Threads)
Motherboard,,Quanta Cloud S6Q-MB-MPS (3A10.uh BIOS),AMD Titanite_4G (RTI1002E BIOS),AMD Titanite_4G (RTI1002E BIOS)
Chipset,,Intel Device 1bce,AMD Device 14a4,AMD Device 14a4
Memory,,1008GB,1520GB,1520GB
Disk,,2 x 1920GB SAMSUNG MZWLJ1T9HBJR-00007 + 960GB INTEL SSDSC2KG96,2 x 1920GB SAMSUNG MZWLJ1T9HBJR-00007,2 x 1920GB SAMSUNG MZWLJ1T9HBJR-00007
Graphics,,ASPEED,ASPEED,ASPEED
Monitor,,VGA HDMI,VGA HDMI,VGA HDMI
Network,,4 x Intel E810-C for QSFP + 2 x Intel X710 for 10GBASE-T,Broadcom NetXtreme BCM5720 PCIe,Broadcom NetXtreme BCM5720 PCIe
OS,,Clear Linux OS 38100,Clear Linux OS 38100,Clear Linux OS 38100
Kernel,,6.1.7-1247.native (x86_64),6.1.7-1247.native (x86_64),6.1.7-1247.native (x86_64)
Display Server,,X Server 1.21.1.6,X Server 1.21.1.6,X Server 1.21.1.6
Compiler,,GCC 12.2.1 20230112 releases/gcc-12.2.0-345-gc142b30b3a + Clang 15.0.6 + LLVM 15.0.6,GCC 12.2.1 20230112 releases/gcc-12.2.0-345-gc142b30b3a + Clang 15.0.6 + LLVM 15.0.6,GCC 12.2.1 20230112 releases/gcc-12.2.0-345-gc142b30b3a + Clang 15.0.6 + LLVM 15.0.6
File-System,,ext4,ext4,ext4
Screen Resolution,,640x480,640x480,640x480
,,"Clear Linux: 8490H 2P","Clear Linux: EPYC 9654 2P","Clear Linux"
"oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,0.560616,2.39780,2.37655
"Stress-NG - Test: Context Switching (Bogo Ops/s)",HIB,27204245.35,112301150.26,113443848.34
"Stress-NG - Test: Memory Copying (Bogo Ops/s)",HIB,7851.21,25271.94,25149.30
"oneDNN - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,489.127,1388.72,1540.56
"ONNX Runtime - Model: yolov4 - Device: CPU - Executor: Standard (Inferences/min)",HIB,564,302,232
"Stress-NG - Test: Mutex (Bogo Ops/s)",HIB,59688403.75,130850928.40,127500171.07
"miniBUDE - Implementation: OpenMP - Input Deck: BM1 (Billion Interactions/s)",HIB,132.289,288.922,289.299
"miniBUDE - Implementation: OpenMP - Input Deck: BM1 (GFInst/s)",HIB,3307.227,7223.043,7232.468
"Stress-NG - Test: Malloc (Bogo Ops/s)",HIB,363422967.84,773890342.11,779076525.72
"ONNX Runtime - Model: fcn-resnet101-11 - Device: CPU - Executor: Standard (Inferences/min)",HIB,507,246,243
"NAMD - ATPase Simulation - 327,506 Atoms (days/ns)",LIB,0.26307,0.12870,0.12863
"Stress-NG - Test: Forking (Bogo Ops/s)",HIB,56447.75,4133.05,4099.20
"High Performance Conjugate Gradient - (GFLOP/s)",HIB,62.4462,43.6135,85.8376
"Kvazaar - Video Input: Bosphorus 4K - Video Preset: Slow (FPS)",HIB,33.27,64.94,65.01
"Kvazaar - Video Input: Bosphorus 4K - Video Preset: Medium (FPS)",HIB,33.92,65.68,65.54
"Blender - Blend File: Barbershop - Compute: CPU-Only (sec)",LIB,147.37,78.01,78.95
"Stress-NG - Test: Vector Math (Bogo Ops/s)",HIB,534773.07,1004273.56,1003872.99
"miniBUDE - Implementation: OpenMP - Input Deck: BM2 (Billion Interactions/s)",HIB,183.963,343.951,342.450
"miniBUDE - Implementation: OpenMP - Input Deck: BM2 (GFInst/s)",HIB,4599.072,8598.759,8561.237
"Stress-NG - Test: Semaphores (Bogo Ops/s)",HIB,20839432.55,38286893.79,38317964.95
"Embree - Binary: Pathtracer ISPC - Model: Crown (FPS)",HIB,99.1441,180.6866,181.4164
"Liquid-DSP - Threads: 240 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,7209766667,13033666667,13047666667
"oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,0.249854,0.449399,0.448353
"oneDNN - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,586.438,1037.96,1052.702
"Blender - Blend File: Classroom - Compute: CPU-Only (sec)",LIB,36.53,20.41,20.43
"ONNX Runtime - Model: bertsquad-12 - Device: CPU - Executor: Standard (Inferences/min)",HIB,868,636,490
"Stress-NG - Test: Glibc C String Functions (Bogo Ops/s)",HIB,19260094.31,33924057.66,34041789.97
"Stress-NG - Test: SENDFILE (Bogo Ops/s)",HIB,2140625.32,3160659.42,3745383.09
"Renaissance - Test: Akka Unbalanced Cobwebbed Tree (ms)",LIB,17042.9,29426.5,29003.5
"Zstd Compression - Compression Level: 8 - Compression Speed (MB/s)",HIB,2942.9,4996.6,4933.4
"uvg266 - Video Input: Bosphorus 4K - Video Preset: Medium (FPS)",HIB,29.13,48.11,48.07
"Embree - Binary: Pathtracer ISPC - Model: Asian Dragon (FPS)",HIB,131.3481,211.2885,212.9215
"Cpuminer-Opt - Algorithm: Triple SHA-256, Onecoin (kH/s)",HIB,2094367,3350626,3387347
"Embree - Binary: Pathtracer ISPC - Model: Asian Dragon Obj (FPS)",HIB,114.2266,184.2731,184.1431
"Cpuminer-Opt - Algorithm: LBC, LBRY Credits (kH/s)",HIB,667438,1074053,1075000
"Zstd Compression - Compression Level: 8, Long Mode - Decompression Speed (MB/s)",HIB,3243.6,4970.9,4978.1
"Cpuminer-Opt - Algorithm: x25x (kH/s)",HIB,5002.69,7674.58,7584.87
"Xcompact3d Incompact3d - Input: input.i3d 193 Cells Per Direction (sec)",LIB,6.18280959,6.39028160,4.17020929
"Stress-NG - Test: Crypto (Bogo Ops/s)",HIB,203339.63,310827.69,310982.35
"Stress-NG - Test: Matrix Math (Bogo Ops/s)",HIB,551787.07,823901.71,823465.88
"Zstd Compression - Compression Level: 19 - Decompression Speed (MB/s)",HIB,2635.9,3840.6,3845.5
"Zstd Compression - Compression Level: 8 - Decompression Speed (MB/s)",HIB,3204.2,4637.9,4638.3
"ASTC Encoder - Preset: Exhaustive (MT/s)",HIB,8.4382,12.0979,12.0706
"LeelaChessZero - Backend: Eigen (Nodes/s)",HIB,11894,8337,8815
"Intel Open Image Denoise - Run: RT.hdr_alb_nrm.3840x2160 (Images / Sec)",HIB,4.28,3.04,3.05
"Liquid-DSP - Threads: 128 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,7172733333,9889700000,9886800000
"Zstd Compression - Compression Level: 19, Long Mode - Decompression Speed (MB/s)",HIB,2795.3,3821.2,3842.2
"DaCapo Benchmark - Java Test: H2 (msec)",LIB,2494,3390,3422
"Stress-NG - Test: MMAP (Bogo Ops/s)",HIB,4223.46,5646.69,5691.19
"ASTC Encoder - Preset: Thorough (MT/s)",HIB,85.8491,114.7577,114.7892
"Stress-NG - Test: MEMFD (Bogo Ops/s)",HIB,3631.89,2748.61,2737.60
"Zstd Compression - Compression Level: 8, Long Mode - Compression Speed (MB/s)",HIB,822.5,1087.8,1080.8
"Cpuminer-Opt - Algorithm: scrypt (kH/s)",HIB,3644.05,4797.21,4793.62
"Numenta Anomaly Benchmark - Detector: KNN CAD (sec)",LIB,86.275,66.604,66.693
"NWChem - Input: C240 Buckyball (sec)",LIB,1834.3,1466.5,1458.3
"Numenta Anomaly Benchmark - Detector: Earthgecko Skyline (sec)",LIB,66.814,54.268,53.139
"OSPRay - Benchmark: particle_volume/ao/real_time (Items/sec)",HIB,34.6997,42.5697,42.6274
"ASTC Encoder - Preset: Fast (MT/s)",HIB,821.5846,765.0848,672.1021
"libavif avifenc - Encoder Speed: 6 (sec)",LIB,2.453,2.009,2.007
"Renaissance - Test: Genetic Algorithm Using Jenetics + Futures (ms)",LIB,2026.2,1677.4,1665.0
"PyPerformance - Benchmark: nbody (Milliseconds)",LIB,63.3,76.0,75.8
"Renaissance - Test: Apache Spark Bayes (ms)",LIB,449.0,375.6,387.6
"Numenta Anomaly Benchmark - Detector: Bayesian Changepoint (sec)",LIB,21.695,18.626,18.272
"PyPerformance - Benchmark: regex_compile (Milliseconds)",LIB,104,87.6,88.2
"Zstd Compression - Compression Level: 19 - Compression Speed (MB/s)",HIB,97.8,114.2,116.0
"Numenta Anomaly Benchmark - Detector: Windowed Gaussian (sec)",LIB,4.270,3.739,3.641
"OSPRay - Benchmark: gravity_spheres_volume/dim_512/ao/real_time (Items/sec)",HIB,38.0961,44.5377,44.4272
"OpenVKL - Benchmark: vklBenchmark ISPC (Items / Sec)",HIB,1142,1332,1334
"DaCapo Benchmark - Java Test: Jython (msec)",LIB,2679,3125,3111
"MariaDB - Clients: 1024 (Queries/sec)",HIB,792,705,696
"PyBench - Total For Average Test Times (Milliseconds)",LIB,664,755,749
"Numenta Anomaly Benchmark - Detector: Contextual Anomaly Detector OSE (sec)",LIB,32.442,28.620,30.212
"libavif avifenc - Encoder Speed: 2 (sec)",LIB,37.557,33.294,33.135
"PyPerformance - Benchmark: json_loads (Milliseconds)",LIB,18.3,16.2,16.2
"Numenta Anomaly Benchmark - Detector: Relative Entropy (sec)",LIB,10.759,9.645,9.654
"Kvazaar - Video Input: Bosphorus 4K - Video Preset: Super Fast (FPS)",HIB,70.41,77.94,78.48
"Renaissance - Test: Apache Spark ALS (ms)",LIB,2073.0,1862.2,1912.5
"ASTC Encoder - Preset: Medium (MT/s)",HIB,525.4013,556.6794,500.6625
"libavif avifenc - Encoder Speed: 0 (sec)",LIB,67.334,60.577,60.803
"Renaissance - Test: Random Forest (ms)",LIB,646.5,593.4,584.2
"Kvazaar - Video Input: Bosphorus 4K - Video Preset: Ultra Fast (FPS)",HIB,72.14,79.19,79.76
"Renaissance - Test: Apache Spark PageRank (ms)",LIB,2704.1,2551.0,2450.5
"Kvazaar - Video Input: Bosphorus 4K - Video Preset: Very Fast (FPS)",HIB,70.58,77.23,76.91
"Stress-NG - Test: IO_uring (Bogo Ops/s)",HIB,51657.61,48522.08,48493.70
"Renaissance - Test: ALS Movie Lens (ms)",LIB,9105.6,8554.7,8651.9
"PyPerformance - Benchmark: float (Milliseconds)",LIB,53.7,56.9,57.1
"PyPerformance - Benchmark: python_startup (Milliseconds)",LIB,8.36,8.00,7.88
"uvg266 - Video Input: Bosphorus 4K - Video Preset: Very Fast (FPS)",HIB,55.89,58.41,59.27
"uvg266 - Video Input: Bosphorus 4K - Video Preset: Super Fast (FPS)",HIB,56.85,59.22,60.13
"uvg266 - Video Input: Bosphorus 4K - Video Preset: Ultra Fast (FPS)",HIB,57.28,58.66,60.02
"PyPerformance - Benchmark: 2to3 (Milliseconds)",LIB,201,193,192
"PyPerformance - Benchmark: raytrace (Milliseconds)",LIB,214,223,224
"simdjson - Throughput Test: LargeRandom (GB/s)",HIB,1.29,1.24,1.24
"Renaissance - Test: Finagle HTTP Requests (ms)",LIB,10387.6,10803.3,10800.0
"PyPerformance - Benchmark: pickle_pure_python (Milliseconds)",LIB,219,225,227
"PyPerformance - Benchmark: crypto_pyaes (Milliseconds)",LIB,58.6,60.0,60.3
"PyPerformance - Benchmark: go (Milliseconds)",LIB,109,112,112
"PyPerformance - Benchmark: django_template (Milliseconds)",LIB,26.7,27.3,27.4
"simdjson - Throughput Test: PartialTweets (GB/s)",HIB,5.79,5.85,5.93
"PHPBench - PHP Benchmark Suite (Score)",HIB,2022000,1993673,1979213
"PyPerformance - Benchmark: pathlib (Milliseconds)",LIB,11.9,12,12.1
"simdjson - Throughput Test: TopTweet (GB/s)",HIB,6.74,6.66,6.65
"Stress-NG - Test: System V Message Passing (Bogo Ops/s)",HIB,34967285.00,34597345.44,34562392.22
"PyPerformance - Benchmark: chaos (Milliseconds)",LIB,52.2,52.7,52.2
"Meta Performance Per Watts - Performance Per Watts (Performance/Watts)",HIB,,4937.6398,4923.0413
"ClickHouse - 100M Rows Hits Dataset, Third Run (Queries/min, Geo Mean)",HIB,535.16,,
"ClickHouse - 100M Rows Hits Dataset, Second Run (Queries/min, Geo Mean)",HIB,530.44,,
"ClickHouse - 100M Rows Hits Dataset, First Run / Cold Cache (Queries/min, Geo Mean)",HIB,504.28,,
"BRL-CAD - VGR Performance Metric (VGR Performance Metric)",HIB,4231422,,
"CPU Power Consumption Monitor - Phoronix Test Suite System Monitoring (Watts)",,477.92,320.04,350.9
"uvg266 - CPU Power Consumption Monitor (Watts)",LIB,430.91,273.5,271.54
"uvg266 - Video Input: Bosphorus 4K - Video Preset: Ultra Fast (FPS/Watt)",HIB,0.133,0.214,0.221
"uvg266 - CPU Power Consumption Monitor (Watts)",LIB,441.21,290.48,292.68
"uvg266 - Video Input: Bosphorus 4K - Video Preset: Super Fast (FPS/Watt)",HIB,0.129,0.204,0.205
"uvg266 - CPU Power Consumption Monitor (Watts)",LIB,457.97,303.84,298.62
"uvg266 - Video Input: Bosphorus 4K - Video Preset: Very Fast (FPS/Watt)",HIB,0.122,0.192,0.198
"uvg266 - CPU Power Consumption Monitor (Watts)",LIB,550.04,437.94,428.84
"uvg266 - Video Input: Bosphorus 4K - Video Preset: Medium (FPS/Watt)",HIB,0.053,0.11,0.112
"Liquid-DSP - CPU Power Consumption Monitor (Watts)",LIB,603.86,555.68,557.26
"Liquid-DSP - Threads: 240 - Buffer Length: 256 - Filter Length: 57 (samples/s/Watt)",HIB,11939483.457,23455551.352,23414150.135
"Liquid-DSP - CPU Power Consumption Monitor (Watts)",LIB,606.09,522.37,517.71
"Liquid-DSP - Threads: 128 - Buffer Length: 256 - Filter Length: 57 (samples/s/Watt)",HIB,11834462.777,18932461.59,19097015.652
"ASTC Encoder - CPU Power Consumption Monitor (Watts)",LIB,430.96,308.5,306.58
"ASTC Encoder - Preset: Exhaustive (MT/s/Watt)",HIB,0.02,0.039,0.039
"ASTC Encoder - CPU Power Consumption Monitor (Watts)",LIB,377.27,242.06,245.95
"ASTC Encoder - Preset: Thorough (MT/s/Watt)",HIB,0.228,0.474,0.467
"ASTC Encoder - CPU Power Consumption Monitor (Watts)",LIB,303.38,182.96,181.23
"ASTC Encoder - Preset: Medium (MT/s/Watt)",HIB,1.732,3.043,2.763
"ASTC Encoder - CPU Power Consumption Monitor (Watts)",LIB,393.86,277.52,286.42
"ASTC Encoder - Preset: Fast (MT/s/Watt)",HIB,2.086,2.757,2.347
"libavif avifenc - CPU Power Consumption Monitor (Watts)",LIB,286.74,146.92,145.02
"libavif avifenc - CPU Power Consumption Monitor (Watts)",LIB,397.03,245.05,246.06
"libavif avifenc - CPU Power Consumption Monitor (Watts)",LIB,432.67,274.08,273.37
"Kvazaar - CPU Power Consumption Monitor (Watts)",LIB,381.93,237.71,235.94
"Kvazaar - Video Input: Bosphorus 4K - Video Preset: Ultra Fast (FPS/Watt)",HIB,0.189,0.333,0.338
"Kvazaar - CPU Power Consumption Monitor (Watts)",LIB,411.3,260.92,257.3
"Kvazaar - Video Input: Bosphorus 4K - Video Preset: Super Fast (FPS/Watt)",HIB,0.171,0.299,0.305
"Kvazaar - CPU Power Consumption Monitor (Watts)",LIB,433.2,279.12,278.37
"Kvazaar - Video Input: Bosphorus 4K - Video Preset: Very Fast (FPS/Watt)",HIB,0.163,0.277,0.276
"Kvazaar - CPU Power Consumption Monitor (Watts)",LIB,489.51,383.97,378.46
"Kvazaar - Video Input: Bosphorus 4K - Video Preset: Medium (FPS/Watt)",HIB,0.069,0.171,0.173
"Kvazaar - CPU Power Consumption Monitor (Watts)",LIB,498.49,383.19,384.74
"Kvazaar - Video Input: Bosphorus 4K - Video Preset: Slow (FPS/Watt)",HIB,0.067,0.169,0.169
"Xcompact3d Incompact3d - CPU Power Consumption Monitor (Watts)",LIB,499.97,405.48,343.85
"High Performance Conjugate Gradient - CPU Power Consumption Monitor (Watts)",LIB,684.12,607.83,588.35
"High Performance Conjugate Gradient - (GFLOP/s/Watt)",HIB,0.091,0.072,0.146
"Stress-NG - CPU Power Consumption Monitor (Watts)",LIB,638.19,597.42,590.68
"Stress-NG - Test: Mutex (Bogo Ops/s/Watt)",HIB,93528.285,219027.603,215853.943
"Stress-NG - CPU Power Consumption Monitor (Watts)",LIB,527.77,340.37,337.85
"Stress-NG - Test: Futex (Bogo Ops/s/Watt)",HIB,318.047,9100.342,9091.378
"Stress-NG - Test: Futex (Bogo Ops/s)",HIB,167854.27,3097472.10,3071495.29
"Stress-NG - CPU Power Consumption Monitor (Watts)",LIB,390.84,258.24,255
"Stress-NG - Test: IO_uring (Bogo Ops/s/Watt)",HIB,132.171,187.899,190.171
"Stress-NG - CPU Power Consumption Monitor (Watts)",LIB,627.88,598.33,598.56
"Stress-NG - Test: SENDFILE (Bogo Ops/s/Watt)",HIB,3409.275,5282.432,6257.347
"Stress-NG - CPU Power Consumption Monitor (Watts)",LIB,633.51,476.83,481.09
"Stress-NG - Test: NUMA (Bogo Ops/s/Watt)",HIB,0.025,0.132,0.127
"Stress-NG - Test: NUMA (Bogo Ops/s)",HIB,15.80,63.01,60.86
"Stress-NG - CPU Power Consumption Monitor (Watts)",LIB,590.61,411.36,406.87
"Stress-NG - Test: MMAP (Bogo Ops/s/Watt)",HIB,7.151,13.727,13.988
"Stress-NG - CPU Power Consumption Monitor (Watts)",LIB,581.61,403.2,398.46
"Stress-NG - Test: MEMFD (Bogo Ops/s/Watt)",HIB,6.245,6.817,6.87
"Stress-NG - CPU Power Consumption Monitor (Watts)",LIB,628.82,614.17,606.55
"Stress-NG - Test: Malloc (Bogo Ops/s/Watt)",HIB,577946.032,1260057.851,1284436.461
"Stress-NG - CPU Power Consumption Monitor (Watts)",LIB,349.16,214.86,213.73
"Stress-NG - Test: CPU Cache (Bogo Ops/s/Watt)",HIB,0.046,0.239,0.24
"Stress-NG - Test: CPU Cache (Bogo Ops/s)",HIB,15.90,51.40,51.20
"Stress-NG - CPU Power Consumption Monitor (Watts)",LIB,508.18,325.61,320.2
"Stress-NG - Test: Atomic (Bogo Ops/s/Watt)",HIB,35.071,639.41,849.687
"Stress-NG - Test: Atomic (Bogo Ops/s)",HIB,17822.07,208201.40,272067.02
"Stress-NG - CPU Power Consumption Monitor (Watts)",LIB,630.46,596.85,583.57
"Stress-NG - Test: Context Switching (Bogo Ops/s/Watt)",HIB,43149.696,188157.678,194395.728
"Stress-NG - CPU Power Consumption Monitor (Watts)",LIB,633.61,616.06,609.79
"Stress-NG - Test: Socket Activity (Bogo Ops/s/Watt)",HIB,155.58,165.832,184.038
"Stress-NG - Test: Socket Activity (Bogo Ops/s)",HIB,98576.81,102162.24,112224.53
"Stress-NG - CPU Power Consumption Monitor (Watts)",LIB,492.05,414.26,409.59
"Stress-NG - Test: Semaphores (Bogo Ops/s/Watt)",HIB,42351.877,92423.02,93551.52
"Stress-NG - CPU Power Consumption Monitor (Watts)",LIB,562.98,385.27,382.01
"Stress-NG - Test: System V Message Passing (Bogo Ops/s/Watt)",HIB,62111.248,89800.169,90475.759
"Stress-NG - CPU Power Consumption Monitor (Watts)",LIB,634.38,403.2,395.54
"Stress-NG - Test: Forking (Bogo Ops/s/Watt)",HIB,88.98,10.251,10.363
"Stress-NG - CPU Power Consumption Monitor (Watts)",LIB,629.03,568.87,563.35
"Stress-NG - Test: Matrix Math (Bogo Ops/s/Watt)",HIB,877.205,1448.317,1461.738
"Stress-NG - CPU Power Consumption Monitor (Watts)",LIB,630.54,555.22,533.02
"Stress-NG - Test: Vector Math (Bogo Ops/s/Watt)",HIB,848.12,1808.771,1883.364
"Stress-NG - CPU Power Consumption Monitor (Watts)",LIB,629.47,640.85,634.14
"Stress-NG - Test: Glibc C String Functions (Bogo Ops/s/Watt)",HIB,30597.478,52936.174,53681.459
"Stress-NG - CPU Power Consumption Monitor (Watts)",LIB,626.05,486.89,477
"Stress-NG - Test: Memory Copying (Bogo Ops/s/Watt)",HIB,12.541,51.904,52.724
"Stress-NG - CPU Power Consumption Monitor (Watts)",LIB,625.78,554.1,548.08
"Stress-NG - Test: Crypto (Bogo Ops/s/Watt)",HIB,324.936,560.956,567.407
"ClickHouse - CPU Power Consumption Monitor (Watts)",LIB,412.58,,
"ClickHouse - 100M Rows Hits Dataset, Third Run (Queries/min, Geo Mean/Watt)",HIB,1.297,,
"BRL-CAD - CPU Power Consumption Monitor (Watts)",LIB,340.87,,
"BRL-CAD - VGR Performance Metric (VGR Performance Metric/Watt)",HIB,12413.448,,
"MariaDB - CPU Power Consumption Monitor (Watts)",LIB,405.78,295.03,291.22
"MariaDB - Clients: 1024 (Queries/sec/Watt)",HIB,1.952,2.39,2.39
"PostgreSQL - CPU Power Consumption Monitor (Watts)",LIB,510.25,404.31,395.51
"PostgreSQL - Scaling Factor: 100 - Clients: 1000 - Mode: Read Write - Average Latency (ms)",LIB,14.243,14.608,14.695
"PostgreSQL - Scaling Factor: 100 - Clients: 1000 - Mode: Read Write (TPS)",HIB,70213,68796,68349
"PostgreSQL - CPU Power Consumption Monitor (Watts)",LIB,499.13,397.17,384.33
"PostgreSQL - Scaling Factor: 100 - Clients: 800 - Mode: Read Write - Average Latency (ms)",LIB,10.523,10.923,11.228
"PostgreSQL - Scaling Factor: 100 - Clients: 800 - Mode: Read Write (TPS)",HIB,76025,73652,71275
"Embree - CPU Power Consumption Monitor (Watts)",LIB,435.36,325.49,329.63
"Embree - Binary: Pathtracer ISPC - Model: Crown (FPS/Watt)",HIB,0.228,0.555,0.55
"Embree - CPU Power Consumption Monitor (Watts)",LIB,392.39,260.15,260.16
"Embree - Binary: Pathtracer ISPC - Model: Asian Dragon Obj (FPS/Watt)",HIB,0.291,0.708,0.708
"Embree - CPU Power Consumption Monitor (Watts)",LIB,444.17,293.89,287.3
"Embree - Binary: Pathtracer ISPC - Model: Asian Dragon (FPS/Watt)",HIB,0.296,0.719,0.741
"SVT-AV1 - CPU Power Consumption Monitor (Watts)",LIB,298.18,164.39,166.05
"SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 4K (FPS/Watt)",HIB,0.752,1.572,1.427
"SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 4K (FPS)",HIB,224.364,258.442,236.887
"SVT-AV1 - CPU Power Consumption Monitor (Watts)",LIB,285.96,157.46,159.35
"SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 4K (FPS/Watt)",HIB,0.746,1.441,1.301
"SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 4K (FPS)",HIB,213.445,226.934,207.354
"Numenta Anomaly Benchmark - CPU Power Consumption Monitor (Watts)",LIB,348.31,211.99,209.7
"Numenta Anomaly Benchmark - CPU Power Consumption Monitor (Watts)",LIB,462.18,280.68,279.94
"Numenta Anomaly Benchmark - CPU Power Consumption Monitor (Watts)",LIB,412.03,251.5,249.29
"Numenta Anomaly Benchmark - CPU Power Consumption Monitor (Watts)",LIB,318.62,192.91,194.14
"Numenta Anomaly Benchmark - CPU Power Consumption Monitor (Watts)",LIB,290.84,164.08,163.25
"Numenta Anomaly Benchmark - CPU Power Consumption Monitor (Watts)",LIB,360.51,216.52,217.22
"PyPerformance - CPU Power Consumption Monitor (Watts)",LIB,234.34,199.99,199.02
"PyPerformance - CPU Power Consumption Monitor (Watts)",LIB,234.03,202.15,201.56
"PyPerformance - CPU Power Consumption Monitor (Watts)",LIB,351.12,208.91,207.71
"PyPerformance - CPU Power Consumption Monitor (Watts)",LIB,232.26,195.98,196.06
"PyPerformance - CPU Power Consumption Monitor (Watts)",LIB,335.2,200.6,199.52
"PyPerformance - CPU Power Consumption Monitor (Watts)",LIB,234.42,195.89,195.05
"PyPerformance - CPU Power Consumption Monitor (Watts)",LIB,234.55,197.47,196.64
"PyPerformance - CPU Power Consumption Monitor (Watts)",LIB,234.28,191,189.4
"PyPerformance - CPU Power Consumption Monitor (Watts)",LIB,316.25,191.61,190.53
"PyPerformance - CPU Power Consumption Monitor (Watts)",LIB,289.8,195.95,195.41
"PyPerformance - CPU Power Consumption Monitor (Watts)",LIB,231.91,192.82,191.24
"PyPerformance - CPU Power Consumption Monitor (Watts)",LIB,232.69,190.75,189.24
"PyPerformance - CPU Power Consumption Monitor (Watts)",LIB,333.43,201.88,200.64
"PyBench - CPU Power Consumption Monitor (Watts)",LIB,214.39,186.48,186.76
"PHPBench - CPU Power Consumption Monitor (Watts)",LIB,207.57,171.7,172.83
"PHPBench - PHP Benchmark Suite (Score/Watt)",HIB,9741.064,11611.684,11452.076
"Renaissance - CPU Power Consumption Monitor (Watts)",LIB,396.19,231.51,229.5
"Renaissance - CPU Power Consumption Monitor (Watts)",LIB,362.77,225.74,222.33
"Renaissance - CPU Power Consumption Monitor (Watts)",LIB,640.36,503.08,494.69
"Renaissance - CPU Power Consumption Monitor (Watts)",LIB,361.05,213.9,211.77
"Renaissance - Test: Scala Dotty (ms)",LIB,644.9,625.0,578.0
"Renaissance - CPU Power Consumption Monitor (Watts)",LIB,375.6,221.67,219.98
"Renaissance - CPU Power Consumption Monitor (Watts)",LIB,462.69,289.87,291.08
"Renaissance - CPU Power Consumption Monitor (Watts)",LIB,365.91,212.78,210.87
"Renaissance - CPU Power Consumption Monitor (Watts)",LIB,397.96,236.63,235.02
"Renaissance - CPU Power Consumption Monitor (Watts)",LIB,396.68,248.38,237.74
"Renaissance - Test: Savina Reactors.IO (ms)",LIB,9853.7,9999.3,8672.4
"Renaissance - CPU Power Consumption Monitor (Watts)",LIB,439.5,335.88,329.16
"DaCapo Benchmark - CPU Power Consumption Monitor (Watts)",LIB,278.1,146.07,144.59
"DaCapo Benchmark - CPU Power Consumption Monitor (Watts)",LIB,310.84,167.73,164.95
"NWChem - CPU Power Consumption Monitor (Watts)",LIB,695.57,664.88,653.87
"simdjson - CPU Power Consumption Monitor (Watts)",LIB,333.55,209.37,208.09
"simdjson - Throughput Test: TopTweet (GB/s/Watt)",HIB,0.02,0.032,0.032
"simdjson - CPU Power Consumption Monitor (Watts)",LIB,333.34,206.67,205.72
"simdjson - Throughput Test: LargeRandom (GB/s/Watt)",HIB,0.004,0.006,0.006
"simdjson - CPU Power Consumption Monitor (Watts)",LIB,332.37,210.12,208.03
"simdjson - Throughput Test: PartialTweets (GB/s/Watt)",HIB,0.017,0.028,0.029
"GROMACS - CPU Power Consumption Monitor (Watts)",LIB,612.99,521.72,530.08
"GROMACS - Implementation: MPI CPU - Input: water_GMX50_bare (Ns/Day/Watt)",HIB,0.024,0.036,0.034
"GROMACS - Implementation: MPI CPU - Input: water_GMX50_bare (Ns/Day)",HIB,14.980,18.711,17.828
"NAMD - CPU Power Consumption Monitor (Watts)",LIB,587.27,306.38,315.41
"miniBUDE - CPU Power Consumption Monitor (Watts)",LIB,552.3,485,474.82
"miniBUDE - Implementation: OpenMP - Input Deck: BM2 (Billion Interactions/s/Watt)",HIB,0.333,0.709,0.721
"miniBUDE - CPU Power Consumption Monitor (Watts)",LIB,376.28,280.83,270.84
"miniBUDE - Implementation: OpenMP - Input Deck: BM1 (Billion Interactions/s/Watt)",HIB,0.352,1.029,1.068
"Cpuminer-Opt - CPU Power Consumption Monitor (Watts)",LIB,629.55,626.57,617.24
"Cpuminer-Opt - Algorithm: LBC, LBRY Credits (kH/s/Watt)",HIB,1060.179,1714.178,1741.631
"Cpuminer-Opt - CPU Power Consumption Monitor (Watts)",LIB,626.63,564.32,555.24
"Cpuminer-Opt - Algorithm: x25x (kH/s/Watt)",HIB,7.984,13.6,13.661
"Cpuminer-Opt - CPU Power Consumption Monitor (Watts)",LIB,627.14,653.65,643.44
"Cpuminer-Opt - Algorithm: Triple SHA-256, Onecoin (kH/s/Watt)",HIB,3339.578,5126.05,5264.443
"Cpuminer-Opt - CPU Power Consumption Monitor (Watts)",LIB,628.95,588.96,580.28
"Cpuminer-Opt - Algorithm: scrypt (kH/s/Watt)",HIB,5.794,8.145,8.261
"oneDNN - CPU Power Consumption Monitor (Watts)",LIB,653.19,504.55,490.64
"oneDNN - CPU Power Consumption Monitor (Watts)",LIB,653.09,506.21,500.76
"oneDNN - CPU Power Consumption Monitor (Watts)",LIB,529.51,392.81,388.69
"oneDNN - Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,1.51936,1.97020,1.75315
"oneDNN - CPU Power Consumption Monitor (Watts)",LIB,579.66,432.85,428.14
"oneDNN - Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,0.976622,4.81910,4.16919
"oneDNN - CPU Power Consumption Monitor (Watts)",LIB,583.26,491.82,480.65
"oneDNN - CPU Power Consumption Monitor (Watts)",LIB,457.61,363.31,355.38
"Blender - CPU Power Consumption Monitor (Watts)",LIB,667.09,627.22,622.85
"Blender - CPU Power Consumption Monitor (Watts)",LIB,631.04,553.66,539.4
"OSPRay - CPU Power Consumption Monitor (Watts)",LIB,686.69,584.16,570.65
"OSPRay - Benchmark: particle_volume/ao/real_time (Items/sec/Watt)",HIB,0.051,0.073,0.075
"OSPRay - CPU Power Consumption Monitor (Watts)",LIB,662.46,583.23,572.72
"OSPRay - Benchmark: gravity_spheres_volume/dim_512/ao/real_time (Items/sec/Watt)",HIB,0.058,0.076,0.078
"Intel Open Image Denoise - CPU Power Consumption Monitor (Watts)",LIB,413.53,287.04,278.07
"Intel Open Image Denoise - Run: RT.hdr_alb_nrm.3840x2160 (Images / Sec/Watt)",HIB,0.01,0.011,0.011
"OpenVKL - CPU Power Consumption Monitor (Watts)",LIB,559.18,491.72,493.46
"OpenVKL - Benchmark: vklBenchmark ISPC (Items / Sec/Watt)",HIB,2.042,2.709,2.703
"LeelaChessZero - CPU Power Consumption Monitor (Watts)",LIB,538.22,372.67,375.29
"LeelaChessZero - Backend: Eigen (Nodes/s/Watt)",HIB,22.099,22.371,23.489
"ONNX Runtime - CPU Power Consumption Monitor (Watts)",LIB,613.54,447.4,440.31
"ONNX Runtime - Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard (Inferences/min/Watt)",HIB,2.834,2.573,2.03
"ONNX Runtime - Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard (Inferences/min)",HIB,1739,1151,894
"ONNX Runtime - CPU Power Consumption Monitor (Watts)",LIB,432.84,244.28,243.48
"ONNX Runtime - Model: GPT-2 - Device: CPU - Executor: Standard (Inferences/min/Watt)",HIB,25.691,24.484,23.431
"ONNX Runtime - Model: GPT-2 - Device: CPU - Executor: Standard (Inferences/min)",HIB,11120,5981,5705
"ONNX Runtime - CPU Power Consumption Monitor (Watts)",LIB,559.19,374.77,372.29
"ONNX Runtime - Model: bertsquad-12 - Device: CPU - Executor: Standard (Inferences/min/Watt)",HIB,1.552,1.697,1.316
"ONNX Runtime - CPU Power Consumption Monitor (Watts)",LIB,432.58,256.65,252.25
"ONNX Runtime - Model: super-resolution-10 - Device: CPU - Executor: Standard (Inferences/min/Watt)",HIB,27.063,25.143,21.475
"ONNX Runtime - Model: super-resolution-10 - Device: CPU - Executor: Standard (Inferences/min)",HIB,11707,6453,5417
"ONNX Runtime - CPU Power Consumption Monitor (Watts)",LIB,653.91,493.88,491.19
"ONNX Runtime - Model: fcn-resnet101-11 - Device: CPU - Executor: Standard (Inferences/min/Watt)",HIB,0.775,0.497,0.495
"ONNX Runtime - CPU Power Consumption Monitor (Watts)",LIB,606.23,442.08,435.02
"ONNX Runtime - Model: yolov4 - Device: CPU - Executor: Standard (Inferences/min/Watt)",HIB,0.93,0.683,0.533
"Zstd Compression - CPU Power Consumption Monitor (Watts)",LIB,365.14,216.14,216.92
"Zstd Compression - Compression Level: 19, Long Mode - Decompression Speed (MB/s/Watt)",HIB,7.655,17.68,17.713
"Zstd Compression - Compression Level: 19, Long Mode - Compression Speed (MB/s)",HIB,51.6,54.6,55.7
"Zstd Compression - CPU Power Consumption Monitor (Watts)",LIB,385.01,227.15,228.13
"Zstd Compression - Compression Level: 19 - Decompression Speed (MB/s/Watt)",HIB,6.846,16.907,16.856
"Zstd Compression - CPU Power Consumption Monitor (Watts)",LIB,369.37,218.11,218.75
"Zstd Compression - Compression Level: 8, Long Mode - Decompression Speed (MB/s/Watt)",HIB,8.781,22.791,22.757
"Zstd Compression - CPU Power Consumption Monitor (Watts)",LIB,417.3,248.26,249.35
"Zstd Compression - Compression Level: 8 - Decompression Speed (MB/s/Watt)",HIB,7.678,18.681,18.602