New Tests

2 x Intel Xeon Platinum 8380 testing with a Intel M50CYP2SB2U (SE5C6200.86B.0022.D08.2103221623 BIOS) and ASPEED on Ubuntu 22.04 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 2209031-NE-2209025NE82
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AV1 2 Tests
Timed Code Compilation 3 Tests
C/C++ Compiler Tests 15 Tests
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CPU Massive 23 Tests
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Database Test Suite 8 Tests
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Fortran Tests 2 Tests
Game Development 2 Tests
Go Language Tests 3 Tests
HPC - High Performance Computing 10 Tests
Imaging 3 Tests
Java 2 Tests
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Machine Learning 6 Tests
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MPI Benchmarks 3 Tests
Multi-Core 23 Tests
Node.js + NPM Tests 2 Tests
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Intel oneAPI 4 Tests
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Programmer / Developer System Benchmarks 6 Tests
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Server CPU Tests 15 Tests
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CentOS Stream 9
August 31 2022
  23 Hours, 41 Minutes
Clear Linux 36990
September 01 2022
  19 Hours, 13 Minutes
Ubuntu 20.04.1 LTS
September 02 2022
  21 Hours, 41 Minutes
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  21 Hours, 32 Minutes

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New Tests 2 x Intel Xeon Platinum 8380 testing with a Intel M50CYP2SB2U (SE5C6200.86B.0022.D08.2103221623 BIOS) and ASPEED on Ubuntu 22.04 via the Phoronix Test Suite. ,,"CentOS Stream 9","Clear Linux 36990","Ubuntu 20.04.1 LTS" Processor,,2 x Intel Xeon Platinum 8380 @ 3.40GHz (80 Cores / 160 Threads),2 x Intel Xeon Platinum 8380 @ 3.40GHz (80 Cores / 160 Threads),2 x Intel Xeon Platinum 8380 @ 3.40GHz (80 Cores / 160 Threads) Motherboard,,Intel M50CYP2SB2U (SE5C6200.86B.0022.D08.2103221623 BIOS),Intel M50CYP2SB2U (SE5C6200.86B.0022.D08.2103221623 BIOS),Intel M50CYP2SB2U (SE5C6200.86B.0022.D08.2103221623 BIOS) Chipset,,Intel Device 0998,Intel Device 0998,Intel Device 0998 Memory,,512GB,512GB,512GB Disk,,7682GB INTEL SSDPF2KX076TZ,7682GB INTEL SSDPF2KX076TZ,7682GB INTEL SSDPF2KX076TZ Graphics,,ASPEED,ASPEED,ASPEED Monitor,,VE228,VE228,VE228 Network,,2 x Intel X710 for 10GBASE-T + 2 x Intel E810-C for QSFP,2 x Intel X710 for 10GBASE-T + 2 x Intel E810-C for QSFP,2 x Intel X710 for 10GBASE-T + 2 x Intel E810-C for QSFP OS,,CentOS Stream 9,Clear Linux OS 36990,Ubuntu 22.04 Kernel,,5.14.0-148.el9.x86_64 (x86_64),5.19.6-1185.native (x86_64),5.15.0-47-generic (x86_64) Desktop,,GNOME Shell 40.10,GNOME Shell 42.4,GNOME Shell 42.2 Display Server,,X Server,X Server 1.21.1.3,X Server 1.21.1.3 Compiler,,GCC 11.3.1 20220421,GCC 12.2.1 20220831 releases/gcc-12.2.0-35-g63997f2223 + Clang 14.0.6 + LLVM 14.0.6,GCC 11.2.0 File-System,,xfs,ext4,ext4 Screen Resolution,,1920x1080,1920x1080,1920x1080 Vulkan,,,,1.2.204 ,,"CentOS Stream 9","Clear Linux 36990","Ubuntu 20.04.1 LTS" "7-Zip Compression - Test: Compression Rating (MIPS)",HIB,467866,473026,345725 "7-Zip Compression - Test: Decompression Rating (MIPS)",HIB,371131,364209,359058 "Apache HTTP Server - Concurrent Requests: 1000 (Reqs/sec)",HIB,131349.60,118161.83,137078.35 "Apache Spark - Row Count: 40000000 - Partitions: 500 - SHA-512 Benchmark Time (sec)",LIB,88.83,20.21,89.34 "Apache Spark - Row Count: 40000000 - Partitions: 500 - Calculate Pi Benchmark (sec)",LIB,36.21,33.05,31.71 "Apache Spark - Row Count: 40000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe (sec)",LIB,2.79,2.04,2.94 "Apache Spark - Row Count: 40000000 - Partitions: 500 - Group By Test Time (sec)",LIB,,34.45, "Apache Spark - Row Count: 40000000 - Partitions: 500 - Repartition Test Time (sec)",LIB,,13.07, "Apache Spark - Row Count: 40000000 - Partitions: 500 - Inner Join Test Time (sec)",LIB,,15.59, "Apache Spark - Row Count: 40000000 - Partitions: 500 - Broadcast Inner Join Test Time (sec)",LIB,,15.17, "ASTC Encoder - Preset: Fast (MT/s)",HIB,799.1120,837.1477,809.1666 "ASTC Encoder - Preset: Medium (MT/s)",HIB,316.3743,359.8980,315.0978 "ASTC Encoder - Preset: Thorough (MT/s)",HIB,46.3848,50.4720,45.6321 "ASTC Encoder - Preset: Exhaustive (MT/s)",HIB,4.5054,4.8916,4.4840 "Blender - Blend File: BMW27 - Compute: CPU-Only (sec)",LIB,25.04,24.25,25.23 "Blender - Blend File: Classroom - Compute: CPU-Only (sec)",LIB,64.82,64.23,65.82 "Blender - Blend File: Fishy Cat - Compute: CPU-Only (sec)",LIB,33.37,32.43,34.07 "Blender - Blend File: Barbershop - Compute: CPU-Only (sec)",LIB,257.15,253.27,262.65 "Blender - Blend File: Pabellon Barcelona - Compute: CPU-Only (sec)",LIB,82.89,81.97,84.44 "C-Blosc - Test: blosclz shuffle (MB/s)",HIB,4916.7,17905.8,4279.5 "C-Blosc - Test: blosclz bitshuffle (MB/s)",HIB,3704.1,12603.1,3193.0 "ClickHouse - 100M Rows Web Analytics Dataset, First Run / Cold Cache (Queries/min, Geo Mean)",HIB,231.48,386.79,214.26 "ClickHouse - 100M Rows Web Analytics Dataset, Second Run (Queries/min, Geo Mean)",HIB,244.38,400.44,223.34 "ClickHouse - 100M Rows Web Analytics Dataset, Third Run (Queries/min, Geo Mean)",HIB,243.95,400.32,225.18 "DaCapo Benchmark - Java Test: H2 (msec)",LIB,9847,2453,10681 "DaCapo Benchmark - Java Test: Jython (msec)",LIB,5600,3683,4819 "Dragonflydb - Clients: 50 - Set To Get Ratio: 1:1 ()",,,, "Dragonflydb - Clients: 50 - Set To Get Ratio: 1:5 ()",,,, "Dragonflydb - Clients: 50 - Set To Get Ratio: 5:1 ()",,,, "Dragonflydb - Clients: 200 - Set To Get Ratio: 1:1 ()",,,, "Dragonflydb - Clients: 200 - Set To Get Ratio: 1:5 ()",,,, "Dragonflydb - Clients: 200 - Set To Get Ratio: 5:1 ()",,,, "Dragonflydb - Clients: 50 - Set To Get Ratio: 1:1 (Ops/sec)",HIB,,4003419.31,1243856.63 "Dragonflydb - Clients: 50 - Set To Get Ratio: 1:5 (Ops/sec)",HIB,,4236085.83,1315146.42 "Dragonflydb - Clients: 50 - Set To Get Ratio: 5:1 (Ops/sec)",HIB,,3826220.78,1209586.38 "GraphicsMagick - Operation: Swirl (Iterations/min)",HIB,2340,2558,1916 "GraphicsMagick - Operation: Rotate (Iterations/min)",HIB,1030,1029,759 "GraphicsMagick - Operation: Sharpen (Iterations/min)",HIB,641,869,641 "GraphicsMagick - Operation: Enhanced (Iterations/min)",HIB,1153,1192,1094 "GraphicsMagick - Operation: Resizing (Iterations/min)",HIB,2748,2851,417 "GraphicsMagick - Operation: Noise-Gaussian (Iterations/min)",HIB,738,994,513 "GraphicsMagick - Operation: HWB Color Space (Iterations/min)",HIB,1138,1737,636 "GROMACS - Implementation: MPI CPU - Input: water_GMX50_bare (Ns/Day)",HIB,8.996,9.525,9.115 "High Performance Conjugate Gradient - (GFLOP/s)",HIB,40.2812,40.8610,40.2047 "InfluxDB - Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 (val/sec)",HIB,666008.7,,668433.3 "KeyDB - (Ops/sec)",HIB,,485587.54,487637.29 "LAMMPS Molecular Dynamics Simulator - Model: 20k Atoms (ns/day)",HIB,35.123,35.046,34.820 "LAMMPS Molecular Dynamics Simulator - Model: Rhodopsin Protein (ns/day)",HIB,30.870,35.995,26.749 "libavif avifenc - Encoder Speed: 0 (sec)",LIB,84.316,78.591,87.167 "libavif avifenc - Encoder Speed: 2 (sec)",LIB,48.710,42.625,49.353 "libavif avifenc - Encoder Speed: 6 (sec)",LIB,6.056,3.463,6.406 "libavif avifenc - Encoder Speed: 6, Lossless (sec)",LIB,9.260,6.174,11.036 "libavif avifenc - Encoder Speed: 10, Lossless (sec)",LIB,6.605,4.690,8.101 "memtier_benchmark - Protocol: Redis - Clients: 50 - Set To Get Ratio: 5:1 (Ops/sec)",HIB,1339297.91,1760873.07,1457157.14 "memtier_benchmark - Protocol: Redis - Clients: 100 - Set To Get Ratio: 5:1 ()",,,, "memtier_benchmark - Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:10 (Ops/sec)",HIB,1398073.70,1994991.48,1755483.28 "memtier_benchmark - Protocol: Redis - Clients: 500 - Set To Get Ratio: 5:1 ()",,,, "memtier_benchmark - Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10 ()",,,, "memtier_benchmark - Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:10 ()",,,, "Mobile Neural Network - Model: nasnet (ms)",LIB,12.097,12.813,12.921 "Mobile Neural Network - Model: mobilenetV3 (ms)",LIB,1.753,1.862,1.864 "Mobile Neural Network - Model: squeezenetv1.1 (ms)",LIB,2.356,2.529,2.590 "Mobile Neural Network - Model: resnet-v2-50 (ms)",LIB,8.663,8.563,8.602 "Mobile Neural Network - Model: SqueezeNetV1.0 (ms)",LIB,3.956,4.244,4.258 "Mobile Neural Network - Model: MobileNetV2_224 (ms)",LIB,2.663,2.912,3.077 "Mobile Neural Network - Model: mobilenet-v1-1.0 (ms)",LIB,2.090,2.179,2.178 "Mobile Neural Network - Model: inception-v3 (ms)",LIB,20.091,20.448,20.540 "NAMD - ATPase Simulation - 327,506 Atoms (days/ns)",LIB,0.28138,0.28053,0.28101 "Natron - Input: Spaceship (FPS)",HIB,1.9,5.0,1.6 "nginx - Concurrent Requests: 1000 (Reqs/sec)",HIB,200945.49,215488.10,210852.37 "Node.js Express HTTP Load Test - (Reqs/sec)",HIB,4910,9808,6210 "Node.js V8 Web Tooling Benchmark - (runs/s)",HIB,10.55,13.56,10.66 "oneDNN - Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,5.40603,4.64086,5.80053 "oneDNN - Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,2.38563,2.30251,2.44691 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,2.15938,2.12637,2.13563 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,3.81155,3.80080,3.88793 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,3.68404,3.64846,3.66112 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,697.282,728.040,770.261 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,447.616,487.116,497.809 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,37.95778,12.2723,41.8912 "ONNX Runtime - Model: GPT-2 - Device: CPU - Executor: Parallel (Inferences/min)",HIB,5269,5259,5305 "ONNX Runtime - Model: GPT-2 - Device: CPU - Executor: Standard (Inferences/min)",HIB,11045,10211,10856 "ONNX Runtime - Model: yolov4 - Device: CPU - Executor: Parallel (Inferences/min)",HIB,630,640,644 "ONNX Runtime - Model: yolov4 - Device: CPU - Executor: Standard (Inferences/min)",HIB,694,636,671 "ONNX Runtime - Model: bertsquad-12 - Device: CPU - Executor: Parallel (Inferences/min)",HIB,799,828,834 "ONNX Runtime - Model: bertsquad-12 - Device: CPU - Executor: Standard (Inferences/min)",HIB,1093,992,977 "ONNX Runtime - Model: fcn-resnet101-11 - Device: CPU - Executor: Parallel (Inferences/min)",HIB,236,241,233 "ONNX Runtime - Model: fcn-resnet101-11 - Device: CPU - Executor: Standard (Inferences/min)",HIB,443,521,483 "ONNX Runtime - Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel (Inferences/min)",HIB,1693,1978,1682 "ONNX Runtime - Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard (Inferences/min)",HIB,1881,2077,1899 "ONNX Runtime - Model: super-resolution-10 - Device: CPU - Executor: Parallel (Inferences/min)",HIB,3259,8024,3133 "ONNX Runtime - Model: super-resolution-10 - Device: CPU - Executor: Standard (Inferences/min)",HIB,12260,10151,11619 "OpenSSL - (sign/s)",HIB,16866.1,17031.1,16884.7 "OpenSSL - (verify/s)",HIB,1112427.2,1119831.8,1115888.0 "OpenVINO - Model: Face Detection FP16 - Device: CPU (FPS)",HIB,24.29,,23.52 "OpenVINO - Model: Face Detection FP16 - Device: CPU (ms)",LIB,819.63,,1684.39 "OpenVINO - Model: Person Detection FP16 - Device: CPU (FPS)",HIB,13.92,,13.14 "OpenVINO - Model: Person Detection FP16 - Device: CPU (ms)",LIB,1424.57,,2990.50 "OpenVINO - Model: Person Detection FP32 - Device: CPU (FPS)",HIB,13.67,,12.98 "OpenVINO - Model: Person Detection FP32 - Device: CPU (ms)",LIB,1451.62,,3027.38 "OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (FPS)",HIB,1071.70,,1049.56 "OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (ms)",LIB,18.67,,38.04 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (FPS)",HIB,83.26,,84.99 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (ms)",LIB,239.86,,469.36 "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS)",HIB,4414.94,,4487.45 "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (ms)",LIB,4.52,,8.89 "OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (FPS)",HIB,2478.96,,2453.45 "OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (ms)",LIB,32.00,,32.53 "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (FPS)",HIB,233.33,,248.70 "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (ms)",LIB,85.47,,160.42 "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS)",HIB,9657.99,,8939.74 "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (ms)",LIB,8.27,,8.93 "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS)",HIB,1478.64,,2178.70 "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (ms)",LIB,13.60,,18.31 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (FPS)",HIB,47224.77,,47005.85 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (ms)",LIB,1.36,,1.51 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (FPS)",HIB,42731.93,,66238.83 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (ms)",LIB,1.50,,0.99 "OSPRay - Benchmark: particle_volume/ao/real_time (Items/sec)",HIB,24.3527,24.5903,24.8525 "OSPRay - Benchmark: particle_volume/scivis/real_time (Items/sec)",HIB,24.2951,24.7159,24.7263 "OSPRay - Benchmark: particle_volume/pathtracer/real_time (Items/sec)",HIB,100.6696,161.930,98.6554 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/ao/real_time (Items/sec)",HIB,22.4174,22.5168,20.9882 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/scivis/real_time (Items/sec)",HIB,22.0215,22.2247,20.8965 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time (Items/sec)",HIB,25.5852,25.6467,25.2944 "OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer (ms)",LIB,20152,20180,20947 "OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer (ms)",LIB,40580,40503,41973 "OSPRay Studio - Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer (ms)",LIB,20261,20404,21165 "OSPRay Studio - Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer (ms)",LIB,40852,40932,42476 "OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer (ms)",LIB,23967,24102,24929 "OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer (ms)",LIB,48319,48506,49953 "PostgreSQL pgbench - Scaling Factor: 100 - Clients: 250 - Mode: Read Only (TPS)",HIB,1669388,1913115,1593950 "PostgreSQL pgbench - Scaling Factor: 100 - Clients: 250 - Mode: Read Only - Average Latency (ms)",LIB,0.150,0.132,0.157 "PostgreSQL pgbench - Scaling Factor: 100 - Clients: 500 - Mode: Read Only (TPS)",HIB,1855656,1831665,1760440 "PostgreSQL pgbench - Scaling Factor: 100 - Clients: 500 - Mode: Read Only - Average Latency (ms)",LIB,0.270,0.275,0.285 "PostgreSQL pgbench - Scaling Factor: 100 - Clients: 250 - Mode: Read Write (TPS)",HIB,20745,87357,34151 "PostgreSQL pgbench - Scaling Factor: 100 - Clients: 250 - Mode: Read Write - Average Latency (ms)",LIB,12.051,2.862,7.321 "PostgreSQL pgbench - Scaling Factor: 100 - Clients: 500 - Mode: Read Write (TPS)",HIB,18710,85792,29620 "PostgreSQL pgbench - Scaling Factor: 100 - Clients: 500 - Mode: Read Write - Average Latency (ms)",LIB,26.724,5.828,16.881 "Redis - Test: GET - Parallel Connections: 50 (Reqs/sec)",HIB,2284227.2,3512867.33,2588694.17 "Redis - Test: SET - Parallel Connections: 50 (Reqs/sec)",HIB,2189377.08,2346688.3,2076700.08 "Redis - Test: GET - Parallel Connections: 500 (Reqs/sec)",HIB,2018201.09,2765192.67,2174436.56 "Redis - Test: SET - Parallel Connections: 500 (Reqs/sec)",HIB,1931278.62,2083152.81,1835435.10 "Redis - Test: GET - Parallel Connections: 1000 (Reqs/sec)",HIB,2406986.65,2722264.50,2309354.8 "Redis - Test: SET - Parallel Connections: 1000 (Reqs/sec)",HIB,1847194.12,2078925.13,1851066.21 "Renaissance - Test: Random Forest (ms)",LIB,1455.2,668.3,1531.5 "Renaissance - Test: ALS Movie Lens (ms)",LIB,17123.9,8225.4,18654.1 "Renaissance - Test: Apache Spark Bayes (ms)",LIB,1075.3,479.0,1132.3 "Renaissance - Test: Savina Reactors.IO (ms)",LIB,21219.4,8256.6,21545.7 "Renaissance - Test: Finagle HTTP Requests (ms)",LIB,8693.9,5950.5,8478.8 "Renaissance - Test: In-Memory Database Shootout (ms)",LIB,17787.2,,18477.3 "simdjson - Throughput Test: Kostya (GB/s)",HIB,2.91,2.94,2.83 "simdjson - Throughput Test: TopTweet (GB/s)",HIB,5.62,5.74,5.69 "simdjson - Throughput Test: LargeRandom (GB/s)",HIB,0.96,0.98,0.94 "simdjson - Throughput Test: PartialTweets (GB/s)",HIB,4.85,5.02,4.75 "simdjson - Throughput Test: DistinctUserID (GB/s)",HIB,5.77,5.71,5.79 "Stockfish - Total Time (Nodes/s)",HIB,179473129,186079628,174792587 "Stress-NG - Test: MMAP (Bogo Ops/s)",HIB,3747.58,3336.53,3888.56 "Stress-NG - Test: NUMA (Bogo Ops/s)",HIB,10.37,5.21,42.05 "Stress-NG - Test: Futex (Bogo Ops/s)",HIB,1088788.92,1140633.72,942679.72 "Stress-NG - Test: MEMFD (Bogo Ops/s)",HIB,4098.84,3783.49,3881.85 "Stress-NG - Test: Atomic (Bogo Ops/s)",HIB,187775.77,145035.86,183431.66 "Stress-NG - Test: Crypto (Bogo Ops/s)",HIB,83808.91,95806.71,86462.28 "Stress-NG - Test: Malloc (Bogo Ops/s)",HIB,306750258.84,342573199.69,292765838.99 "Stress-NG - Test: Forking (Bogo Ops/s)",HIB,63484.45,61843.01,65455.72 "Stress-NG - Test: IO_uring ()",,,, "Stress-NG - Test: SENDFILE (Bogo Ops/s)",HIB,1271967.05,1161464.61,1177667.63 "Stress-NG - Test: CPU Cache (Bogo Ops/s)",HIB,16.26,16.40,16.13 "Stress-NG - Test: CPU Stress (Bogo Ops/s)",HIB,135517.46,140290.21,135774.41 "Stress-NG - Test: Semaphores (Bogo Ops/s)",HIB,7186364.51,15903941.88,7249112.24 "Stress-NG - Test: Matrix Math (Bogo Ops/s)",HIB,286293.40,328235.14,307592.99 "Stress-NG - Test: Vector Math (Bogo Ops/s)",HIB,322923.09,309299.86,324720.78 "Stress-NG - Test: x86_64 RdRand (Bogo Ops/s)",HIB,667284.36,669368.18,666992.32 "Stress-NG - Test: Memory Copying (Bogo Ops/s)",HIB,12812.45,11244.94,13427.14 "Stress-NG - Test: Socket Activity (Bogo Ops/s)",HIB,2460.37,36452.69,45595.60 "Stress-NG - Test: Context Switching (Bogo Ops/s)",HIB,6233126.45,14924848.44,5371747.81 "Stress-NG - Test: Glibc C String Functions (Bogo Ops/s)",HIB,9473078.17,9658490.04,8173725.03 "Stress-NG - Test: Glibc Qsort Data Sorting (Bogo Ops/s)",HIB,934.26,893.84,918.76 "Stress-NG - Test: System V Message Passing (Bogo Ops/s)",HIB,7093379.73,8684030.90,4420124.12 "Stress-NG - Test: IO_uring (Bogo Ops/s)",HIB,,10692920.63,8404895.30 "SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 4K (FPS)",HIB,1.327,2.351,1.292 "SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 4K (FPS)",HIB,38.675,73.188,38.331 "SVT-AV1 - Encoder Mode: Preset 10 - Input: Bosphorus 4K (FPS)",HIB,65.620,132.871,65.837 "SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 4K (FPS)",HIB,92.832,195.934,92.732 "SVT-HEVC - Tuning: 7 - Input: Bosphorus 4K (FPS)",HIB,86.67,147.63,87.77 "SVT-HEVC - Tuning: 10 - Input: Bosphorus 4K (FPS)",HIB,113.23,192.06,111.55 "SVT-VP9 - Tuning: VMAF Optimized - Input: Bosphorus 4K (FPS)",HIB,112.93,153.77,111.61 "SVT-VP9 - Tuning: PSNR/SSIM Optimized - Input: Bosphorus 4K (FPS)",HIB,115.50,163.87,115.32 "SVT-VP9 - Tuning: Visual Quality Optimized - Input: Bosphorus 4K (FPS)",HIB,99.27,148.91,101.72 "TensorFlow Lite - Model: SqueezeNet (us)",LIB,16614.41,6244.19,5617.26 "TensorFlow Lite - Model: Inception V4 (us)",LIB,73896.5,42370.3,36132.7 "TensorFlow Lite - Model: NASNet Mobile (us)",LIB,68713.0,68566.7,80034.0 "TensorFlow Lite - Model: Mobilenet Float (us)",LIB,4240.41,3701.27,3340.60 "TensorFlow Lite - Model: Mobilenet Quant (us)",LIB,9540.86,8576.95,10747.97 "TensorFlow Lite - Model: Inception ResNet V2 (us)",LIB,47297.8,49331.9,54111.0 "Timed GDB GNU Debugger Compilation - Time To Compile (sec)",LIB,95.415,,81.629 "Timed Linux Kernel Compilation - Build: defconfig (sec)",LIB,29.670,,27.809 "Timed LLVM Compilation - Build System: Ninja (sec)",LIB,135.019,267.387,131.698 "TNN - Target: CPU - Model: DenseNet (ms)",LIB,3955.046,3620.857,4704.042 "TNN - Target: CPU - Model: MobileNet v2 (ms)",LIB,378.879,348.815,463.981 "TNN - Target: CPU - Model: SqueezeNet v2 (ms)",LIB,75.880,72.128,74.709 "TNN - Target: CPU - Model: SqueezeNet v1.1 (ms)",LIB,366.493,358.153,365.917 "Unpacking The Linux Kernel - linux-5.19.tar.xz (sec)",LIB,9.194,7.853,8.888 "VP9 libvpx Encoding - Speed: Speed 0 - Input: Bosphorus 4K (FPS)",HIB,3.04,6.15,2.95 "WebP Image Encode - Encode Settings: Default (Encode Time - sec)",LIB,2.163,1.662,1.975 "WebP Image Encode - Encode Settings: Quality 100 (Encode Time - sec)",LIB,3.044,2.656,2.931 "WebP Image Encode - Encode Settings: Quality 100, Lossless (Encode Time - sec)",LIB,21.115,18.186,21.601 "WebP Image Encode - Encode Settings: Quality 100, Highest Compression (Encode Time - sec)",LIB,8.802,8.046,8.675 "WebP Image Encode - Encode Settings: Quality 100, Lossless, Highest Compression (Encode Time - sec)",LIB,41.208,38.303,42.606 "x264 - Video Input: Bosphorus 4K (FPS)",HIB,34.57,82.43,32.41 "Zstd Compression - Compression Level: 3 - Compression Speed (MB/s)",HIB,7026.1,6807.8,5669.9 "Zstd Compression - Compression Level: 3 - Decompression Speed (MB/s)",HIB,3022.9,2985.2,2755.9 "Zstd Compression - Compression Level: 8 - Compression Speed (MB/s)",HIB,1244.0,1621.3,1638.3 "Zstd Compression - Compression Level: 8 - Decompression Speed (MB/s)",HIB,3017.5,3007.5,2788.9 "Zstd Compression - Compression Level: 19 - Compression Speed (MB/s)",HIB,86.6,91.5,74.0 "Zstd Compression - Compression Level: 19 - Decompression Speed (MB/s)",HIB,2571.3,2522.5,2498.1 "Zstd Compression - Compression Level: 3, Long Mode - Compression Speed (MB/s)",HIB,281.0,965.3,102.4 "Zstd Compression - Compression Level: 3, Long Mode - Decompression Speed (MB/s)",HIB,3208.0,,2945.9 "Zstd Compression - Compression Level: 8, Long Mode - Compression Speed (MB/s)",HIB,307.5,993.1,127.9 "Zstd Compression - Compression Level: 8, Long Mode - Decompression Speed (MB/s)",HIB,3201.0,3163.1,2962.4 "Zstd Compression - Compression Level: 19, Long Mode - Compression Speed (MB/s)",HIB,43.4,48.8,38.5 "Zstd Compression - Compression Level: 19, Long Mode - Decompression Speed (MB/s)",HIB,2635.7,2613.2,2540.7