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