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