threadripper eo 2022

Tests for a future article. AMD Ryzen Threadripper 3960X 24-Core testing with a MSI Creator TRX40 (MS-7C59) v1.0 (1.12N1 BIOS) and Gigabyte AMD Radeon RX 5500 XT 8GB 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 2212279-NE-THREADRIP52
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Audio Encoding 2 Tests
AV1 4 Tests
C++ Boost Tests 2 Tests
Timed Code Compilation 6 Tests
C/C++ Compiler Tests 9 Tests
CPU Massive 17 Tests
Creator Workloads 19 Tests
Cryptography 2 Tests
Database Test Suite 7 Tests
Encoding 7 Tests
Game Development 3 Tests
HPC - High Performance Computing 12 Tests
Imaging 6 Tests
Common Kernel Benchmarks 3 Tests
Machine Learning 9 Tests
Multi-Core 19 Tests
NVIDIA GPU Compute 2 Tests
Intel oneAPI 3 Tests
OpenMPI Tests 3 Tests
Programmer / Developer System Benchmarks 6 Tests
Python 2 Tests
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Server 8 Tests
Server CPU Tests 11 Tests
Single-Threaded 3 Tests
Video Encoding 5 Tests
Common Workstation Benchmarks 2 Tests

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December 26 2022
  7 Hours, 56 Minutes
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December 26 2022
  8 Hours
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threadripper eo 2022 Tests for a future article. AMD Ryzen Threadripper 3960X 24-Core testing with a MSI Creator TRX40 (MS-7C59) v1.0 (1.12N1 BIOS) and Gigabyte AMD Radeon RX 5500 XT 8GB on Ubuntu 22.04 via the Phoronix Test Suite. ,,"a","b" Processor,,AMD Ryzen Threadripper 3960X 24-Core @ 3.80GHz (24 Cores / 48 Threads),AMD Ryzen Threadripper 3960X 24-Core @ 3.80GHz (24 Cores / 48 Threads) Motherboard,,MSI Creator TRX40 (MS-7C59) v1.0 (1.12N1 BIOS),MSI Creator TRX40 (MS-7C59) v1.0 (1.12N1 BIOS) Chipset,,AMD Starship/Matisse,AMD Starship/Matisse Memory,,32GB,32GB Disk,,1000GB Sabrent Rocket 4.0 1TB,1000GB Sabrent Rocket 4.0 1TB Graphics,,Gigabyte AMD Radeon RX 5500 XT 8GB (1900/875MHz),Gigabyte AMD Radeon RX 5500 XT 8GB (1900/875MHz) Audio,,AMD Navi 10 HDMI Audio,AMD Navi 10 HDMI Audio Monitor,,VA2431,VA2431 Network,,Aquantia AQC107 NBase-T/IEEE + Intel I211 + Intel Wi-Fi 6 AX200,Aquantia AQC107 NBase-T/IEEE + Intel I211 + Intel Wi-Fi 6 AX200 OS,,Ubuntu 22.04,Ubuntu 22.04 Kernel,,5.19.0-051900rc7-generic (x86_64),5.19.0-051900rc7-generic (x86_64) Desktop,,GNOME Shell 42.2,GNOME Shell 42.2 Display Server,,X Server,X Server OpenGL,,4.6 Mesa 22.0.1 (LLVM 13.0.1 DRM 3.47),4.6 Mesa 22.0.1 (LLVM 13.0.1 DRM 3.47) Vulkan,,1.3.204,1.3.204 Compiler,,GCC 11.2.0,GCC 11.2.0 File-System,,ext4,ext4 Screen Resolution,,1920x1080,1920x1080 ,,"a","b" "PostgreSQL - Scaling Factor: 100 - Clients: 250 - Mode: Read Write - Average Latency (ms)",LIB,5.506,9.786 "PostgreSQL - Scaling Factor: 100 - Clients: 250 - Mode: Read Write (TPS)",HIB,45407,25548 "Stargate Digital Audio Workstation - Sample Rate: 480000 - Buffer Size: 512 (Render Ratio)",HIB,4.122029,2.722708 "Stargate Digital Audio Workstation - Sample Rate: 44100 - Buffer Size: 512 (Render Ratio)",HIB,3.892921,2.678564 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,6.54191,4.7447 "Stress-NG - Test: IO_uring (Bogo Ops/s)",HIB,22416.27,17193.98 "Redis - Test: GET - Parallel Connections: 50 (Reqs/sec)",HIB,2481064.75,2015000.12 "PostgreSQL - Scaling Factor: 100 - Clients: 100 - Mode: Read Write (TPS)",HIB,40535,33658 "PostgreSQL - Scaling Factor: 100 - Clients: 100 - Mode: Read Write - Average Latency (ms)",LIB,2.467,2.971 "oneDNN - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.652318,0.7778 "Unvanquished - Resolution: 1920 x 1080 - Effects Quality: Ultra (FPS)",HIB,248.6,286.5 "SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 4K (FPS)",HIB,147.341,129.515 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU (ms)",LIB,1295.49,1451.46 "Redis - Test: SET - Parallel Connections: 50 (Reqs/sec)",HIB,1746939.25,1590308.75 "Mobile Neural Network - Model: inception-v3 (ms)",LIB,23.254,25.51 "PostgreSQL - Scaling Factor: 100 - Clients: 100 - Mode: Read Only - Average Latency (ms)",LIB,0.153,0.166 "PostgreSQL - Scaling Factor: 100 - Clients: 100 - Mode: Read Only (TPS)",HIB,653213,602288 "Stress-NG - Test: Futex (Bogo Ops/s)",HIB,3430545.94,3166174.89 "Mobile Neural Network - Model: mobilenetV3 (ms)",LIB,2.282,2.455 "NCNN - Target: CPU - Model: resnet50 (ms)",LIB,21.43,23.05 "Stargate Digital Audio Workstation - Sample Rate: 192000 - Buffer Size: 1024 (Render Ratio)",HIB,2.436915,2.268748 "WebP2 Image Encode - Encode Settings: Default (MP/s)",HIB,9.6,10.27 "Stress-NG - Test: CPU Cache (Bogo Ops/s)",HIB,174.95,186.95 "NCNN - Target: CPU - Model: googlenet (ms)",LIB,18.44,19.69 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,2604.63,2772.01 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,2559.09,2719.77 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,1361.72,1441.78 "Mobile Neural Network - Model: resnet-v2-50 (ms)",LIB,21.564,22.828 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1366.14,1446.12 "Apache Spark - Row Count: 1000000 - Partitions: 100 - SHA-512 Benchmark Time (sec)",LIB,3.40,3.59872799 "Stargate Digital Audio Workstation - Sample Rate: 480000 - Buffer Size: 1024 (Render Ratio)",HIB,4.917282,5.196953 "NCNN - Target: CPU - Model: squeezenet_ssd (ms)",LIB,21.24,22.44 "Mobile Neural Network - Model: MobileNetV2_224 (ms)",LIB,4.361,4.607 "Stargate Digital Audio Workstation - Sample Rate: 192000 - Buffer Size: 512 (Render Ratio)",HIB,1.244804,1.314658 "NCNN - Target: CPU - Model: alexnet (ms)",LIB,8.95,9.45 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,2614.46,2759.2 "NCNN - Target: CPU - Model: resnet18 (ms)",LIB,12.14,12.78 "Facebook RocksDB - Test: Sequential Fill (Op/s)",HIB,922415,876834 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,23.1605,24.336 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream (items/sec)",HIB,43.1635,41.0795 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU (ms)",LIB,4.48456,4.27034 "Facebook RocksDB - Test: Update Random (Op/s)",HIB,684330,651892 "Apache Spark - Row Count: 1000000 - Partitions: 100 - Broadcast Inner Join Test Time (sec)",LIB,1.28,1.34 "PostgreSQL - Scaling Factor: 100 - Clients: 250 - Mode: Read Only - Average Latency (ms)",LIB,0.386,0.404 "Mobile Neural Network - Model: nasnet (ms)",LIB,14.311,14.962 "Apache Spark - Row Count: 1000000 - Partitions: 100 - Repartition Test Time (sec)",LIB,1.76,1.84 "PostgreSQL - Scaling Factor: 100 - Clients: 250 - Mode: Read Only (TPS)",HIB,646832,618774 "NCNN - Target: CPU - Model: mobilenet (ms)",LIB,15.69,16.39 "Stargate Digital Audio Workstation - Sample Rate: 96000 - Buffer Size: 1024 (Render Ratio)",HIB,3.681535,3.845343 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,9.02473,9.42618 "GraphicsMagick - Operation: HWB Color Space (Iterations/min)",HIB,1043,1089 "7-Zip Compression - Test: Decompression Rating (MIPS)",HIB,177640,170171 "GraphicsMagick - Operation: Noise-Gaussian (Iterations/min)",HIB,514,535 "NCNN - Target: CPU - Model: mnasnet (ms)",LIB,6.29,6.54 "Facebook RocksDB - Test: Read Random Write Random (Op/s)",HIB,2683538,2589021 "Numenta Anomaly Benchmark - Detector: KNN CAD (sec)",LIB,129.147,133.475 "Stress-NG - Test: CPU Stress (Bogo Ops/s)",HIB,63007.36,65071.9 "NCNN - Target: CPU - Model: efficientnet-b0 (ms)",LIB,9.26,9.56 "srsRAN - Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM (UE Mb/s)",HIB,175.5,170 "NCNN - Target: CPU - Model: shufflenet-v2 (ms)",LIB,7.89,8.14 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1.68952,1.74252 "NCNN - Target: CPU - Model: vision_transformer (ms)",LIB,133.48,137.59 "NCNN - Target: CPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,6.92,7.13 "srsRAN - Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM (eNb Mb/s)",HIB,413.1,401.2 "OpenVINO - Model: Face Detection FP16 - Device: CPU (FPS)",HIB,6.82,7.02 "NCNN - Target: CPU - Model: yolov4-tiny (ms)",LIB,25.55,26.29 "Mobile Neural Network - Model: squeezenetv1.1 (ms)",LIB,4.311,4.191 "nginx - Connections: 500 (Reqs/sec)",HIB,133262.41,137072.73 "AOM AV1 - Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K (FPS)",HIB,25.31,24.61 "NCNN - Target: CPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,6.44,6.62 "srsRAN - Test: OFDM_Test (Samples / Second)",HIB,140100000,144000000 "Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,69.4812,67.6453 "Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,37.4433,36.475 "Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream (items/sec)",HIB,26.7006,27.4093 "Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,172.6456,177.2167 "OpenVINO - Model: Face Detection FP16 - Device: CPU (ms)",LIB,1735.28,1690.53 "ClickHouse - 100M Rows Web Analytics Dataset, First Run / Cold Cache (Queries/min, Geo Mean)",HIB,196.74,201.86 "Redis - Test: GET - Parallel Connections: 500 (Reqs/sec)",HIB,2271735.25,2214977.25 "JPEG XL Decoding libjxl - CPU Threads: All (MP/s)",HIB,245.68,251.91 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU (ms)",LIB,2.63187,2.69706 "oneDNN - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1.43493,1.47047 "Apache Spark - Row Count: 1000000 - Partitions: 100 - Inner Join Test Time (sec)",LIB,1.67,1.63 "Unvanquished - Resolution: 1920 x 1080 - Effects Quality: High (FPS)",HIB,257,263.3 "oneDNN - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU (ms)",LIB,1.50644,1.54322 "JPEG XL Decoding libjxl - CPU Threads: 1 (MP/s)",HIB,44.6,45.67 "Apache Spark - Row Count: 1000000 - Partitions: 100 - Group By Test Time (sec)",LIB,4.67,4.78 "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (FPS)",HIB,63.47,62.04 "Stress-NG - Test: Socket Activity (Bogo Ops/s)",HIB,15355.92,15707.68 "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (ms)",LIB,188.92,193.23 "Stress-NG - Test: NUMA (Bogo Ops/s)",HIB,604.44,591.09 "AOM AV1 - Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p (FPS)",HIB,60.72,62.08 "NCNN - Target: CPU - Model: blazeface (ms)",LIB,3.67,3.75 "SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 1080p (FPS)",HIB,8.046,7.877 "Facebook RocksDB - Test: Random Read (Op/s)",HIB,98049490,100100766 "Numenta Anomaly Benchmark - Detector: Windowed Gaussian (sec)",LIB,6.199,6.327 "Numenta Anomaly Benchmark - Detector: Bayesian Changepoint (sec)",LIB,20.148,20.56 "Stargate Digital Audio Workstation - Sample Rate: 96000 - Buffer Size: 512 (Render Ratio)",HIB,1.911816,1.947376 "OpenFOAM - Input: drivaerFastback, Small Mesh Size - Execution Time (sec)",LIB,121.45626,123.71063 "ClickHouse - 100M Rows Web Analytics Dataset, Third Run (Queries/min, Geo Mean)",HIB,240.17,235.82 "Stress-NG - Test: Matrix Math (Bogo Ops/s)",HIB,140597.25,138081.21 "OpenRadioss - Model: Bumper Beam (sec)",LIB,98.86,100.6 "SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 1080p (FPS)",HIB,111.927,113.858 "GraphicsMagick - Operation: Rotate (Iterations/min)",HIB,638,649 "nginx - Connections: 100 (Reqs/sec)",HIB,148017.08,145523.99 "AOM AV1 - Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p (FPS)",HIB,72.52,73.76 "SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 4K (FPS)",HIB,145.752,148.194 "Stress-NG - Test: Glibc C String Functions (Bogo Ops/s)",HIB,4187483.04,4118591.13 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU (ms)",LIB,6.06539,6.16553 "Stress-NG - Test: Context Switching (Bogo Ops/s)",HIB,9618965.78,9774697.61 "Stargate Digital Audio Workstation - Sample Rate: 44100 - Buffer Size: 1024 (Render Ratio)",HIB,5.223813,5.307245 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,2.06629,2.09863 "OpenFOAM - Input: drivaerFastback, Small Mesh Size - Mesh Time (sec)",LIB,26.871733,27.275142 "libavif avifenc - Encoder Speed: 10, Lossless (sec)",LIB,5.153,5.078 "SMHasher - Hash: FarmHash32 x86_64 AVX (MiB/sec)",HIB,27249.95,26861.97 "Apache Spark - Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark (sec)",LIB,68.960273121,69.93 "AOM AV1 - Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K (FPS)",HIB,40.37,40.93 "SMHasher - Hash: t1ha0_aes_avx2 x86_64 (MiB/sec)",HIB,66642.16,65731.67 "OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (ms)",LIB,18.11,18.36 "Facebook RocksDB - Test: Random Fill (Op/s)",HIB,811216,800273 "Stress-NG - Test: Forking (Bogo Ops/s)",HIB,53674.14,52953.36 "PostgreSQL - Scaling Factor: 100 - Clients: 50 - Mode: Read Only - Average Latency (ms)",LIB,0.074,0.075 "OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (FPS)",HIB,661.93,653.16 "WebP Image Encode - Encode Settings: Quality 100, Lossless (MP/s)",HIB,1.50,1.52 "AOM AV1 - Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p (FPS)",HIB,34.6,34.15 "Unpacking The Linux Kernel - linux-5.19.tar.xz (sec)",LIB,7.006,7.096 "JPEG XL libjxl - Input: JPEG - Quality: 80 (MP/s)",HIB,8.59,8.7 "NCNN - Target: CPU - Model: vgg16 (ms)",LIB,33.71,34.14 "GraphicsMagick - Operation: Swirl (Iterations/min)",HIB,1178,1193 "Stream - Type: Copy (MB/s)",HIB,54649.6,55314 "SMHasher - Hash: wyhash (MiB/sec)",HIB,23068.13,22791.83 "Facebook RocksDB - Test: Read While Writing (Op/s)",HIB,4506140,4452658 "CockroachDB - Workload: MoVR - Concurrency: 1024 (ops/s)",HIB,474.9,480.5 "PostgreSQL - Scaling Factor: 100 - Clients: 50 - Mode: Read Only (TPS)",HIB,671452,663640 "CockroachDB - Workload: MoVR - Concurrency: 128 (ops/s)",HIB,477.5,483.1 "FFmpeg - Encoder: libx265 - Scenario: Upload (sec)",LIB,183.908496366,181.78 "AOM AV1 - Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K (FPS)",HIB,40.29,40.76 "FFmpeg - Encoder: libx265 - Scenario: Upload (FPS)",HIB,13.73,13.89 "OpenRadioss - Model: Rubber O-Ring Seal Installation (sec)",LIB,78.18,79.08 "JPEG XL libjxl - Input: PNG - Quality: 90 (MP/s)",HIB,8.89,8.99 "spaCy - Model: en_core_web_lg (tokens/sec)",HIB,12454,12319 "nginx - Connections: 1000 (Reqs/sec)",HIB,125263.22,126633 "Mobile Neural Network - Model: mobilenet-v1-1.0 (ms)",LIB,3.054,3.021 "TensorFlow - Device: CPU - Batch Size: 16 - Model: AlexNet (images/sec)",HIB,62.47,63.15 "Unvanquished - Resolution: 1920 x 1080 - Effects Quality: Medium (FPS)",HIB,260,262.8 "Scikit-Learn - Benchmark: TSNE MNIST Dataset (sec)",LIB,31.586,31.926 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (FPS)",HIB,21060.95,20837.59 "AOM AV1 - Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p (FPS)",HIB,0.96,0.97 "CockroachDB - Workload: KV, 60% Reads - Concurrency: 512 (ops/s)",HIB,80024,79220.4 "CockroachDB - Workload: KV, 50% Reads - Concurrency: 256 (ops/s)",HIB,77546.7,76768.6 "EnCodec - Target Bandwidth: 1.5 kbps (sec)",LIB,36.013,36.372 "Scikit-Learn - Benchmark: MNIST Dataset (sec)",LIB,103.896,104.931 "FFmpeg - Encoder: libx264 - Scenario: Live (sec)",LIB,25.43,25.19 "AOM AV1 - Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p (FPS)",HIB,72.59,73.28 "OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (FPS)",HIB,380.28,376.7 "FFmpeg - Encoder: libx264 - Scenario: Live (FPS)",HIB,198.58,200.46 "CockroachDB - Workload: MoVR - Concurrency: 512 (ops/s)",HIB,476.6,481.1 "OpenVINO - Model: Person Detection FP16 - Device: CPU (FPS)",HIB,4.3,4.34 "OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (ms)",LIB,31.53,31.82 "ClickHouse - 100M Rows Web Analytics Dataset, Second Run (Queries/min, Geo Mean)",HIB,236.78,234.64 "FLAC Audio Encoding - WAV To FLAC (sec)",LIB,17.802,17.963 "Dragonflydb - Clients: 50 - Set To Get Ratio: 5:1 (Ops/sec)",HIB,3193072.56,3164997.08 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (ms)",LIB,1.13,1.14 "CockroachDB - Workload: MoVR - Concurrency: 256 (ops/s)",HIB,476.5,480.7 "WebP Image Encode - Encode Settings: Quality 100, Highest Compression (MP/s)",HIB,3.44,3.41 "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS)",HIB,686.15,692.14 "CockroachDB - Workload: KV, 50% Reads - Concurrency: 128 (ops/s)",HIB,70558.3,69948.7 "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (ms)",LIB,17.47,17.32 "Mobile Neural Network - Model: SqueezeNetV1.0 (ms)",LIB,6.491,6.547 "JPEG XL libjxl - Input: JPEG - Quality: 90 (MP/s)",HIB,8.51,8.58 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream (ms/batch)",LIB,8.8688,8.7988 "EnCodec - Target Bandwidth: 6 kbps (sec)",LIB,37.604,37.903 "Numenta Anomaly Benchmark - Detector: Relative Entropy (sec)",LIB,13.21,13.106 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream (items/sec)",HIB,112.6594,113.5482 "JPEG XL libjxl - Input: PNG - Quality: 80 (MP/s)",HIB,8.95,9.02 "OpenRadioss - Model: INIVOL and Fluid Structure Interaction Drop Container (sec)",LIB,287.95,290.2 "OpenVINO - Model: Person Detection FP16 - Device: CPU (ms)",LIB,2734.68,2714.24 "Timed Erlang/OTP Compilation - Time To Compile (sec)",LIB,90.928,90.249 "Stress-NG - Test: SENDFILE (Bogo Ops/s)",HIB,414239.19,411184.4 "CockroachDB - Workload: KV, 10% Reads - Concurrency: 128 (ops/s)",HIB,50479.2,50108.8 "SMHasher - Hash: FarmHash128 (MiB/sec)",HIB,15823.93,15708.02 "Redis - Test: SET - Parallel Connections: 500 (Reqs/sec)",HIB,1784408,1797429.5 "Stress-NG - Test: System V Message Passing (Bogo Ops/s)",HIB,9343696.19,9276368.69 "Stream - Type: Add (MB/s)",HIB,36849.4,37116 "Y-Cruncher - Pi Digits To Calculate: 500M (sec)",LIB,11.143,11.222 "AOM AV1 - Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p (FPS)",HIB,14.13,14.23 "Stress-NG - Test: Malloc (Bogo Ops/s)",HIB,50825608.57,50473178.15 "SMHasher - Hash: t1ha2_atonce (MiB/sec)",HIB,15569.87,15465.65 "CockroachDB - Workload: KV, 10% Reads - Concurrency: 512 (ops/s)",HIB,61112,60710 "SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 1080p (FPS)",HIB,400.811,403.432 "EnCodec - Target Bandwidth: 3 kbps (sec)",LIB,38.187,38.433 "Xmrig - Variant: Wownero - Hash Count: 1M (H/s)",HIB,21153.3,21018.6 "Facebook RocksDB - Test: Random Fill Sync (Op/s)",HIB,25136,25297 "Stream - Type: Triad (MB/s)",HIB,36787.1,37021.8 "Dragonflydb - Clients: 50 - Set To Get Ratio: 1:1 (Ops/sec)",HIB,3341824.71,3320752.26 "SMHasher - Hash: MeowHash x86_64 AES-NI (MiB/sec)",HIB,37533.1,37302 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (FPS)",HIB,22553.27,22417.03 "AOM AV1 - Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p (FPS)",HIB,43.08,43.34 "OpenRadioss - Model: Cell Phone Drop Test (sec)",LIB,54.86,55.19 "SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 4K (FPS)",HIB,3.5,3.521 "7-Zip Compression - Test: Compression Rating (MIPS)",HIB,167681,168680 "AOM AV1 - Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K (FPS)",HIB,31.97,32.16 "CockroachDB - Workload: KV, 95% Reads - Concurrency: 256 (ops/s)",HIB,100761.5,100166.8 "Timed Node.js Compilation - Time To Compile (sec)",LIB,232.345,233.722 "OpenVINO - Model: Person Detection FP32 - Device: CPU (ms)",LIB,2750.06,2734.21 "SMHasher - Hash: fasthash32 (MiB/sec)",HIB,6591.27,6553.7 "Neural Magic DeepSparse - Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,107.4771,106.8673 "FFmpeg - Encoder: libx264 - Scenario: Upload (FPS)",HIB,12.37,12.30 "Neural Magic DeepSparse - Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream (items/sec)",HIB,59.8698,59.5355 "Neural Magic DeepSparse - Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,111.3907,112.0146 "Neural Magic DeepSparse - Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream (ms/batch)",LIB,16.6914,16.7848 "FFmpeg - Encoder: libx264 - Scenario: Upload (sec)",LIB,204.11375323,205.24 "EnCodec - Target Bandwidth: 24 kbps (sec)",LIB,42.075,42.307 "ASTC Encoder - Preset: Fast (MT/s)",HIB,366.3281,364.3208 "OpenVKL - Benchmark: vklBenchmark Scalar (Items / Sec)",HIB,184,183 "WebP Image Encode - Encode Settings: Quality 100 (MP/s)",HIB,11.10,11.04 "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (ms)",LIB,16.75,16.84 "OpenRadioss - Model: Bird Strike on Windshield (sec)",LIB,173.48,174.41 "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS)",HIB,715.98,712.18 "OpenFOAM - Input: motorBike - Mesh Time (sec)",LIB,40.3729,40.5873 "libavif avifenc - Encoder Speed: 0 (sec)",LIB,91.039,90.561 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream (items/sec)",HIB,13.3862,13.3177 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream (ms/batch)",LIB,74.6969,75.0804 "WebP Image Encode - Encode Settings: Default (MP/s)",HIB,17.87,17.78 "Stress-NG - Test: Memory Copying (Bogo Ops/s)",HIB,4863.37,4839.31 "Blender - Blend File: Pabellon Barcelona - Compute: CPU-Only (sec)",LIB,176.4,177.27 "WebP2 Image Encode - Encode Settings: Quality 100, Compression Effort 5 (MP/s)",HIB,8.39,8.43 "libavif avifenc - Encoder Speed: 6, Lossless (sec)",LIB,7.607,7.571 "CockroachDB - Workload: KV, 50% Reads - Concurrency: 512 (ops/s)",HIB,75643.3,75289.1 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,152.2314,152.9447 "Timed Linux Kernel Compilation - Build: allmodconfig (sec)",LIB,476.667,478.887 "OpenVINO - Model: Person Detection FP32 - Device: CPU (FPS)",HIB,4.33,4.31 "Stress-NG - Test: MEMFD (Bogo Ops/s)",HIB,891.86,887.76 "Numenta Anomaly Benchmark - Detector: Contextual Anomaly Detector OSE (sec)",LIB,38.983,39.16 "Dragonflydb - Clients: 200 - Set To Get Ratio: 1:5 (Ops/sec)",HIB,3609156.11,3593257.69 "srsRAN - Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM (UE Mb/s)",HIB,162.9,162.2 "BRL-CAD - VGR Performance Metric (VGR Performance Metric)",HIB,405453,403757 "FFmpeg - Encoder: libx265 - Scenario: Video On Demand (sec)",LIB,264.63,263.53 "rav1e - Speed: 6 (FPS)",HIB,3.656,3.641 "PostgreSQL - Scaling Factor: 100 - Clients: 50 - Mode: Read Write - Average Latency (ms)",LIB,1.712,1.705 "Stream - Type: Scale (MB/s)",HIB,33038,33173.5 "srsRAN - Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM (eNb Mb/s)",HIB,376.6,375.1 "CockroachDB - Workload: KV, 60% Reads - Concurrency: 128 (ops/s)",HIB,77055.3,77363.2 "Y-Cruncher - Pi Digits To Calculate: 1B (sec)",LIB,22.825,22.916 "nekRS - Input: TurboPipe Periodic (FLOP/s)",HIB,67648400000,67381400000 "FFmpeg - Encoder: libx265 - Scenario: Video On Demand (FPS)",HIB,28.63,28.74 "AOM AV1 - Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K (FPS)",HIB,7.91,7.88 "FFmpeg - Encoder: libx264 - Scenario: Platform (sec)",LIB,160.71,161.32 "Blender - Blend File: Barbershop - Compute: CPU-Only (sec)",LIB,583.81,586 "CockroachDB - Workload: KV, 50% Reads - Concurrency: 1024 (ops/s)",HIB,71952.1,72222 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,608.4782,610.7512 "PostgreSQL - Scaling Factor: 100 - Clients: 50 - Mode: Read Write (TPS)",HIB,29212,29318 "FFmpeg - Encoder: libx264 - Scenario: Platform (FPS)",HIB,47.13,46.96 "CockroachDB - Workload: KV, 95% Reads - Concurrency: 1024 (ops/s)",HIB,94157.8,93822.1 "SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 4K (FPS)",HIB,56.689,56.487 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,78.7202,78.4402 "GraphicsMagick - Operation: Enhanced (Iterations/min)",HIB,568,570 "OpenVKL - Benchmark: vklBenchmark ISPC (Items / Sec)",HIB,288,287 "oneDNN - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU (ms)",LIB,5.89944,5.91961 "SMHasher - Hash: Spooky32 (MiB/sec)",HIB,14254.7,14206.73 "srsRAN - Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM (UE Mb/s)",HIB,150.6,150.1 "srsRAN - Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM (eNb Mb/s)",HIB,402.5,403.8 "Dragonflydb - Clients: 200 - Set To Get Ratio: 5:1 (Ops/sec)",HIB,3273370.07,3263145.89 "srsRAN - Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM (UE Mb/s)",HIB,160.2,160.7 "CockroachDB - Workload: KV, 60% Reads - Concurrency: 1024 (ops/s)",HIB,76564,76335.4 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,19.6428,19.5842 "Stress-NG - Test: MMAP (Bogo Ops/s)",HIB,383.32,382.19 "ASTC Encoder - Preset: Exhaustive (MT/s)",HIB,1.5739,1.5693 "srsRAN - Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM (eNb Mb/s)",HIB,106.8,107.1 "FFmpeg - Encoder: libx264 - Scenario: Video On Demand (FPS)",HIB,47.17,47.04 "FFmpeg - Encoder: libx264 - Scenario: Video On Demand (sec)",LIB,160.60,161.04 "rav1e - Speed: 10 (FPS)",HIB,8.018,7.997 "rav1e - Speed: 1 (FPS)",HIB,0.78,0.778 "rav1e - Speed: 5 (FPS)",HIB,2.741,2.748 "Numenta Anomaly Benchmark - Detector: Earthgecko Skyline (sec)",LIB,77.22,77.408 "Stress-NG - Test: Vector Math (Bogo Ops/s)",HIB,178859.7,178430.01 "Apache Spark - Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe (sec)",LIB,4.20,4.21 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (FPS)",HIB,8.46,8.48 "nginx - Connections: 200 (Reqs/sec)",HIB,148446.23,148101.85 "AOM AV1 - Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K (FPS)",HIB,13.54,13.57 "CockroachDB - Workload: KV, 60% Reads - Concurrency: 256 (ops/s)",HIB,82286.1,82467 "Stress-NG - Test: Crypto (Bogo Ops/s)",HIB,44751.55,44653.67 "Blender - Blend File: Fishy Cat - Compute: CPU-Only (sec)",LIB,69.44,69.59 "CockroachDB - Workload: KV, 95% Reads - Concurrency: 512 (ops/s)",HIB,98031.9,97822.4 "CockroachDB - Workload: KV, 10% Reads - Concurrency: 1024 (ops/s)",HIB,59301.4,59175.4 "FFmpeg - Encoder: libx265 - Scenario: Platform (FPS)",HIB,28.62,28.68 "Timed Wasmer Compilation - Time To Compile (sec)",LIB,46.857,46.955 "ASTC Encoder - Preset: Thorough (MT/s)",HIB,14.4059,14.3759 "Timed PHP Compilation - Time To Compile (sec)",LIB,43.61,43.699 "ASTC Encoder - Preset: Medium (MT/s)",HIB,120.3254,120.0841 "Stress-NG - Test: Mutex (Bogo Ops/s)",HIB,12785778.73,12810594.01 "FFmpeg - Encoder: libx265 - Scenario: Platform (sec)",LIB,264.66,264.16 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,19.5601,19.5237 "srsRAN - Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM (eNb Mb/s)",HIB,376.6,375.9 "Blender - Blend File: Classroom - Compute: CPU-Only (sec)",LIB,148.83,149.1 "libavif avifenc - Encoder Speed: 2 (sec)",LIB,47.559,47.639 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,74.9151,75.0343 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream (items/sec)",HIB,13.3472,13.326 "SMHasher - Hash: SHA3-256 (MiB/sec)",HIB,146.7,146.47 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,611.8922,610.9332 "NCNN - Target: CPU - Model: regnety_400m (ms)",LIB,26.61,26.65 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (ms)",LIB,1410.67,1408.6 "Timed CPython Compilation - Build Configuration: Released Build, PGO + LTO Optimized (sec)",LIB,257.57,257.945 "GraphicsMagick - Operation: Resizing (Iterations/min)",HIB,2129,2132 "spaCy - Model: en_core_web_trf (tokens/sec)",HIB,1465,1463 "TensorFlow - Device: CPU - Batch Size: 16 - Model: GoogLeNet (images/sec)",HIB,44.45,44.39 "Timed Linux Kernel Compilation - Build: defconfig (sec)",LIB,43.944,44.003 "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS)",HIB,843.69,844.82 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,222.1611,221.8827 "Timed CPython Compilation - Build Configuration: Default (sec)",LIB,15.429,15.41 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,53.9562,54.0192 "NCNN - Target: CPU - Model: FastestDet (ms)",LIB,8.91,8.9 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,9.16751,9.15733 "CockroachDB - Workload: KV, 10% Reads - Concurrency: 256 (ops/s)",HIB,61211.1,61278.6 "FFmpeg - Encoder: libx265 - Scenario: Live (sec)",LIB,72.95,73.03 "SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 1080p (FPS)",HIB,359.56,359.18 "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (ms)",LIB,28.43,28.4 "Dragonflydb - Clients: 50 - Set To Get Ratio: 1:5 (Ops/sec)",HIB,3519377.56,3515736.22 "Scikit-Learn - Benchmark: Sparse Random Projections, 100 Iterations (sec)",LIB,162.422,162.588 "FFmpeg - Encoder: libx265 - Scenario: Live (FPS)",HIB,69.22,69.15 "libavif avifenc - Encoder Speed: 6 (sec)",LIB,4.012,4.008 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream (ms/batch)",LIB,11.9444,11.9559 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream (items/sec)",HIB,83.6707,83.5943 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,154.8854,154.7593 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,77.4472,77.5099 "Blender - Blend File: BMW27 - Compute: CPU-Only (sec)",LIB,53.91,53.95 "Stress-NG - Test: Atomic (Bogo Ops/s)",HIB,421253.99,421495.46 "Xmrig - Variant: Monero - Hash Count: 1M (H/s)",HIB,15342.8,15334.8 "CockroachDB - Workload: KV, 95% Reads - Concurrency: 128 (ops/s)",HIB,103073.5,103111.7 "Stress-NG - Test: Glibc Qsort Data Sorting (Bogo Ops/s)",HIB,385.8,385.67 "Stress-NG - Test: Semaphores (Bogo Ops/s)",HIB,4869829.14,4868774.73 "OpenFOAM - Input: motorBike - Execution Time (sec)",LIB,71.6006,71.6125 "Dragonflydb - Clients: 200 - Set To Get Ratio: 1:1 (Ops/sec)",HIB,3388128.93,3388656.73 "Natron - Input: Spaceship (FPS)",HIB,4.2,4.2 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (ms)",LIB,1.06,1.06 "AOM AV1 - Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K (FPS)",HIB,0.34,0.34 "GraphicsMagick - Operation: Sharpen (Iterations/min)",HIB,376,376 "srsRAN - Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM (UE Mb/s)",HIB,60.2,60.2 "WebP2 Image Encode - Encode Settings: Quality 95, Compression Effort 7 (MP/s)",HIB,0.15,0.15 "WebP2 Image Encode - Encode Settings: Quality 75, Compression Effort 7 (MP/s)",HIB,0.30,0.30 "WebP Image Encode - Encode Settings: Quality 100, Lossless, Highest Compression (MP/s)",HIB,0.61,0.61 "JPEG XL libjxl - Input: JPEG - Quality: 100 (MP/s)",HIB,0.66,0.66 "JPEG XL libjxl - Input: PNG - Quality: 100 (MP/s)",HIB,0.68,0.68 "nginx - Connections: 4000 (Reqs/sec)",HIB,, "nginx - Connections: 20 (Reqs/sec)",HIB,, "nginx - Connections: 1 (Reqs/sec)",HIB,, "Stress-NG - Test: x86_64 RdRand ()",,, "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,, "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,, "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,, "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,, "oneDNN - Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,, "oneDNN - Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,, "SMHasher - Hash: MeowHash x86_64 AES-NI (cycles/hash)",LIB,57.723,57.928 "SMHasher - Hash: t1ha0_aes_avx2 x86_64 (cycles/hash)",LIB,34.721,35.155 "SMHasher - Hash: FarmHash32 x86_64 AVX (cycles/hash)",LIB,43.284,43.29 "SMHasher - Hash: t1ha2_atonce (cycles/hash)",LIB,34.763,35.019 "SMHasher - Hash: FarmHash128 (cycles/hash)",LIB,63.803,63.864 "SMHasher - Hash: fasthash32 (cycles/hash)",LIB,37.175,37.264 "SMHasher - Hash: Spooky32 (cycles/hash)",LIB,51.661,51.627 "SMHasher - Hash: SHA3-256 (cycles/hash)",LIB,2649.376,2649.302 "SMHasher - Hash: wyhash (cycles/hash)",LIB,26.329,26.387