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