xeon eo march

Tests for a future article. 2 x Intel Xeon Platinum 8380 testing with a Intel M50CYP2SB2U (SE5C6200.86B.0022.D08.2103221623 BIOS) and ASPEED on Ubuntu 22.10 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 2304013-NE-XEONEOMAR35
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AV1 3 Tests
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Game Development 3 Tests
HPC - High Performance Computing 6 Tests
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Multi-Core 18 Tests
NVIDIA GPU Compute 2 Tests
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Programmer / Developer System Benchmarks 6 Tests
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March 31 2023
  8 Hours, 52 Minutes
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March 31 2023
  7 Hours, 24 Minutes
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April 01 2023
  6 Hours, 16 Minutes
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xeon eo march Tests for a future article. 2 x Intel Xeon Platinum 8380 testing with a Intel M50CYP2SB2U (SE5C6200.86B.0022.D08.2103221623 BIOS) and ASPEED on Ubuntu 22.10 via the Phoronix Test Suite. ,,"a","b","c" 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 Ice Lake IEH,Intel Ice Lake IEH,Intel Ice Lake IEH 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,,Ubuntu 22.10,Ubuntu 22.10,Ubuntu 22.10 Kernel,,6.2.0-rc5-phx-dodt (x86_64),6.2.0-rc5-phx-dodt (x86_64),6.2.0-rc5-phx-dodt (x86_64) Desktop,,GNOME Shell 43.0,GNOME Shell 43.0,GNOME Shell 43.0 Display Server,,X Server 1.21.1.3,X Server 1.21.1.3,X Server 1.21.1.3 Vulkan,,1.3.224,1.3.224,1.3.224 Compiler,,GCC 12.2.0,GCC 12.2.0,GCC 12.2.0 File-System,,ext4,ext4,ext4 Screen Resolution,,1920x1080,1920x1080,1920x1080 ,,"a","b","c" "RocksDB - Test: Sequential Fill (Op/s)",HIB,106061,106147,106227 "MariaDB - Clients: 512 (Queries/sec)",HIB,110,110,110 "MariaDB - Clients: 1024 (Queries/sec)",HIB,110,110,111 "MariaDB - Clients: 2048 (Queries/sec)",HIB,111,112,111 "MariaDB - Clients: 4096 (Queries/sec)",HIB,115,115,114 "TensorFlow - Device: CPU - Batch Size: 512 - Model: ResNet-50 (images/sec)",HIB,71.38,71.21,71.74 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,705.678,656.795, "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU (ms)",LIB,466.729,471.804, "OpenCV - Test: Graph API (ms)",LIB,671086,597049, "oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,708.530,737.563, "OpenCV - Test: Stitching (ms)",LIB,508105,489265, "FFmpeg - Encoder: libx265 - Scenario: Video On Demand (FPS)",HIB,16.90,16.87,16.79 "FFmpeg - Encoder: libx265 - Scenario: Video On Demand (sec)",LIB,448.20691755,448.99,451.26 "FFmpeg - Encoder: libx265 - Scenario: Platform (FPS)",HIB,16.88,16.90,16.84 "FFmpeg - Encoder: libx265 - Scenario: Platform (sec)",LIB,448.633638741,448.26,449.86 "TensorFlow - Device: CPU - Batch Size: 256 - Model: ResNet-50 (images/sec)",HIB,60.21,60.09,60.71 "FFmpeg - Encoder: libx265 - Scenario: Upload (FPS)",HIB,8.62,8.66,8.71 "FFmpeg - Encoder: libx265 - Scenario: Upload (sec)",LIB,292.801657432,291.569506705,289.92 "FFmpeg - Encoder: libx264 - Scenario: Upload (FPS)",HIB,9.91,9.97,9.81 "FFmpeg - Encoder: libx264 - Scenario: Upload (sec)",LIB,254.898947776,253.32,257.31 "OpenCV - Test: Image Processing (ms)",LIB,356989,293481, "OpenCV - Test: Features 2D (ms)",LIB,270872,356993, "Timed LLVM Compilation - Build System: Unix Makefiles (sec)",LIB,286.217,286.237,288.948 "Blender - Blend File: Barbershop - Compute: CPU-Only (sec)",LIB,244.2,243.71,244.89 "FFmpeg - Encoder: libx264 - Scenario: Video On Demand (FPS)",HIB,36.21,35.16,35.33 "FFmpeg - Encoder: libx264 - Scenario: Video On Demand (sec)",LIB,209.220285516,215.44,214.38 "FFmpeg - Encoder: libx264 - Scenario: Platform (FPS)",HIB,35.63,35.64,36.21 "FFmpeg - Encoder: libx264 - Scenario: Platform (sec)",LIB,212.621669857,212.54,209.19 "TensorFlow - Device: CPU - Batch Size: 512 - Model: GoogLeNet (images/sec)",HIB,257.44,258.17,258.13 "VP9 libvpx Encoding - Speed: Speed 0 - Input: Bosphorus 4K (FPS)",HIB,2.88,2.9,2.88 "Timed Node.js Compilation - Time To Compile (sec)",LIB,203.675,202.826,207.61 "TensorFlow - Device: CPU - Batch Size: 64 - Model: ResNet-50 (images/sec)",HIB,38.9,38.63,38.71 "VVenC - Video Input: Bosphorus 4K - Video Preset: Fast (FPS)",HIB,3.261,3.221,3.191 "FFmpeg - Encoder: libx265 - Scenario: Live (FPS)",HIB,33.78,34.57,34.24 "FFmpeg - Encoder: libx265 - Scenario: Live (sec)",LIB,149.480929923,146.069290258,147.51 "Timed LLVM Compilation - Build System: Ninja (sec)",LIB,180.771,181.169,180.059 "OpenSSL - Algorithm: ChaCha20-Poly1305 (byte/s)",HIB,293957452870,294463651570,294001151180 "OpenSSL - Algorithm: AES-256-GCM (byte/s)",HIB,709965487310,712463205990,710407167180 "OpenSSL - Algorithm: AES-128-GCM (byte/s)",HIB,799202790060,802646430240,806241823680 "OpenSSL - Algorithm: ChaCha20 (byte/s)",HIB,425091630970,425550559910,425195437530 "OpenSSL - Algorithm: SHA256 (byte/s)",HIB,57611766850,54810975320,57348072400 "OpenSSL - Algorithm: SHA512 (byte/s)",HIB,22617583540,22641175270,22228899690 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU (ms)",LIB,35.4599,39.8033, "oneDNN - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,711.380,752.425, "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,453.911,437.395, "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,455.595,447.363, "AOM AV1 - Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K (FPS)",HIB,5.01,4.93,4.95 "Timed Godot Game Engine Compilation - Time To Compile (sec)",LIB,148.771,148.85,146.51 "TensorFlow - Device: CPU - Batch Size: 256 - Model: GoogLeNet (images/sec)",HIB,214.3,213.49,213.69 "OpenCV - Test: Video (ms)",LIB,121173,133100, "VVenC - Video Input: Bosphorus 4K - Video Preset: Faster (FPS)",HIB,5.029,4.998,5.012 "TensorFlow - Device: CPU - Batch Size: 32 - Model: ResNet-50 (images/sec)",HIB,30.87,30.8,31 "oneDNN - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU (ms)",LIB,1.46571,1.6588, "VP9 libvpx Encoding - Speed: Speed 5 - Input: Bosphorus 4K (FPS)",HIB,5.2,5.04,5.02 "oneDNN - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,2.56877,10.0555, "TensorFlow - Device: CPU - Batch Size: 512 - Model: AlexNet (images/sec)",HIB,518.73,513.22,514.4 "OpenCV - Test: Object Detection (ms)",LIB,119494,103986, "OpenCV - Test: DNN - Deep Neural Network (ms)",LIB,115385,107827, "VP9 libvpx Encoding - Speed: Speed 0 - Input: Bosphorus 1080p (FPS)",HIB,5.71,5.66,5.73 "AOM AV1 - Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K (FPS)",HIB,8.16,8.4,7.99 "oneDNN - Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,18.01146,5.37587, "Build2 - Time To Compile (sec)",LIB,93.004,94.969,92.475 "ONNX Runtime - Model: GPT-2 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,10.8107,10.8897,10.7076 "ONNX Runtime - Model: GPT-2 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,92.431,91.7637,93.3205 "ONNX Runtime - Model: GPT-2 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,5.45281,5.34648,5.4061 "ONNX Runtime - Model: GPT-2 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,183.295,186.943,184.883 "ONNX Runtime - Model: fcn-resnet101-11 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,320.962,341.193,340.994 "ONNX Runtime - Model: fcn-resnet101-11 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,3.1156,2.93086,2.93257 "ONNX Runtime - Model: yolov4 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,98.1183,98.6054,99.4055 "ONNX Runtime - Model: yolov4 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,10.1914,10.1411,10.0594 "ONNX Runtime - Model: bertsquad-12 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,75.4412,76.7518,74.4648 "ONNX Runtime - Model: bertsquad-12 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,13.2549,13.0285,13.4286 "ONNX Runtime - Model: bertsquad-12 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,62.0109,61.2937,62.6519 "ONNX Runtime - Model: bertsquad-12 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,16.1257,16.3145,15.9607 "ONNX Runtime - Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,30.5988,30.5984,31.3122 "ONNX Runtime - Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,32.6794,32.6796,31.9347 "ONNX Runtime - Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,27.6247,29.689,26.9844 "ONNX Runtime - Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,36.1961,33.6787,37.0538 "ONNX Runtime - Model: yolov4 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,87.992,84.0506,85.5088 "ONNX Runtime - Model: yolov4 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,11.3641,11.8969,11.6941 "ONNX Runtime - Model: fcn-resnet101-11 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,106.662,105.532,106.353 "ONNX Runtime - Model: fcn-resnet101-11 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,9.37499,9.47539,9.4022 "ONNX Runtime - Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,44.8631,45.5602, "ONNX Runtime - Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,22.2889,21.9478, "ONNX Runtime - Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,37.6739,31.2002, "ONNX Runtime - Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,26.5412,32.0474, "nginx - Connections: 500 (Reqs/sec)",HIB,222945.56,226231.19,225697.84 "nginx - Connections: 200 (Reqs/sec)",HIB,245504.32,244509.87,246434.82 "ONNX Runtime - Model: CaffeNet 12-int8 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,1.59956,1.64503,1.59992 "ONNX Runtime - Model: CaffeNet 12-int8 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,624.463,607.235,624.35 "Apache HTTP Server - Concurrent Requests: 500 (Reqs/sec)",HIB,37442.6,37076.95, "ONNX Runtime - Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,1.42719,1.41212,1.41518 "ONNX Runtime - Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,699.963,707.306,705.795 "Apache HTTP Server - Concurrent Requests: 200 (Reqs/sec)",HIB,34680.57,38092.88, "ONNX Runtime - Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,5.25466,5.33429, "ONNX Runtime - Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,190.263,187.423, "ONNX Runtime - Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,4.54812,4.62093, "ONNX Runtime - Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,219.832,216.364, "ONNX Runtime - Model: super-resolution-10 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,16.1828,16.9976, "ONNX Runtime - Model: super-resolution-10 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,61.7891,58.8271, "ONNX Runtime - Model: super-resolution-10 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,5.09499,5.075, "ONNX Runtime - Model: super-resolution-10 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,196.246,197.018, "OpenCV - Test: Core (ms)",LIB,88425,83121, "AOM AV1 - Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p (FPS)",HIB,8.82,8.79,8.86 "TensorFlow - Device: CPU - Batch Size: 16 - Model: ResNet-50 (images/sec)",HIB,23.33,22.99,23.23 "Darmstadt Automotive Parallel Heterogeneous Suite - Backend: OpenMP - Kernel: Points2Image (Test Cases/min)",HIB,9474.39,9912.90,8791.23 "Zstd Compression - Compression Level: 19, Long Mode - Decompression Speed (MB/s)",HIB,917.2,928.7,920.9 "Zstd Compression - Compression Level: 19, Long Mode - Compression Speed (MB/s)",HIB,7.88,7.25,6.95 "VVenC - Video Input: Bosphorus 1080p - Video Preset: Fast (FPS)",HIB,7.998,8.014,8.119 "Blender - Blend File: Pabellon Barcelona - Compute: CPU-Only (sec)",LIB,76.92,77.29,77.15 "SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 4K (FPS)",HIB,2.375,2.336,2.327 "oneDNN - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU (ms)",LIB,2.03996,1.80895, "oneDNN - Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,2.30887,2.21121, "TensorFlow - Device: CPU - Batch Size: 256 - Model: AlexNet (images/sec)",HIB,408.72,407.51,410.27 "FFmpeg - Encoder: libx264 - Scenario: Live (FPS)",HIB,133.05,130.09,130.88 "FFmpeg - Encoder: libx264 - Scenario: Live (sec)",LIB,37.96,38.82,38.58 "dav1d - Video Input: Chimera 1080p 10-bit (FPS)",HIB,130.69,130.12,130.27 "Memcached - Set To Get Ratio: 1:100 (Ops/sec)",HIB,1970590.49,1946110.38,1527158.77 "dav1d - Video Input: Chimera 1080p (FPS)",HIB,134.66,133.01,134.1 "Memcached - Set To Get Ratio: 1:10 (Ops/sec)",HIB,2137824.96,1736416.84,2222180.6 "Memcached - Set To Get Ratio: 1:5 (Ops/sec)",HIB,1774418.86,2133650.03,1820534.68 "Zstd Compression - Compression Level: 8, Long Mode - Decompression Speed (MB/s)",HIB,1161.6,1163.4,1129.3 "Zstd Compression - Compression Level: 8, Long Mode - Compression Speed (MB/s)",HIB,295,278.4,285.6 "Zstd Compression - Compression Level: 3, Long Mode - Decompression Speed (MB/s)",HIB,1190.2,1172.3,1189.7 "Zstd Compression - Compression Level: 3, Long Mode - Compression Speed (MB/s)",HIB,258,313.7,267.4 "Zstd Compression - Compression Level: 3 - Decompression Speed (MB/s)",HIB,1128.4,1132.3,1126.3 "Zstd Compression - Compression Level: 3 - Compression Speed (MB/s)",HIB,2013.1,2185,2209.8 "Zstd Compression - Compression Level: 8 - Decompression Speed (MB/s)",HIB,1128.8,1140.4,831.7 "Zstd Compression - Compression Level: 8 - Compression Speed (MB/s)",HIB,624,603,638.2 "Blender - Blend File: Classroom - Compute: CPU-Only (sec)",LIB,63.07,62.71,63.14 "Zstd Compression - Compression Level: 12 - Decompression Speed (MB/s)",HIB,1095.6,1075.5,1072.1 "Zstd Compression - Compression Level: 12 - Compression Speed (MB/s)",HIB,161.4,180.6,169.9 "Zstd Compression - Compression Level: 19 - Decompression Speed (MB/s)",HIB,907.7,924,907 "Zstd Compression - Compression Level: 19 - Compression Speed (MB/s)",HIB,14.6,14.3,14.4 "RocksDB - Test: Random Fill Sync (Op/s)",HIB,73440,74771,74573 "AOM AV1 - Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K (FPS)",HIB,0.33,0.34,0.34 "RocksDB - Test: Random Fill (Op/s)",HIB,104159,104356,104086 "oneDNN - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,30.271432,0.668506, "John The Ripper - Test: MD5 (Real C/S)",HIB,10384000,10295000,2766000 "RocksDB - Test: Update Random (Op/s)",HIB,97772,97861,97722 "RocksDB - Test: Read Random Write Random (Op/s)",HIB,920426,959340,954852 "John The Ripper - Test: HMAC-SHA512 (Real C/S)",HIB,151993000,152981000,19292000 "RocksDB - Test: Read While Writing (Op/s)",HIB,8059987,7531197,8192793 "RocksDB - Test: Random Read (Op/s)",HIB,273039094,268195000,273197200 "OpenSSL - Algorithm: RSA4096 (verify/s)",HIB,1189343.7,1186897.4,1188772.4 "OpenSSL - Algorithm: RSA4096 (sign/s)",HIB,36965,36899.1,36977.5 "TensorFlow - Device: CPU - Batch Size: 64 - Model: GoogLeNet (images/sec)",HIB,132.43,132.26,131.98 "dav1d - Video Input: Summer Nature 4K (FPS)",HIB,66.17,65.21,65.7 "VP9 libvpx Encoding - Speed: Speed 5 - Input: Bosphorus 1080p (FPS)",HIB,11.42,11.53,11.31 "AOM AV1 - Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p (FPS)",HIB,15.97,15.58,16.07 "VVenC - Video Input: Bosphorus 1080p - Video Preset: Faster (FPS)",HIB,13.353,13.1,12.977 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,3.90427,3.93436, "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.373237,0.37954, "AOM AV1 - Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K (FPS)",HIB,15.39,15.36,15.51 "AOM AV1 - Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K (FPS)",HIB,16.15,15.53,16.33 "TensorFlow - Device: CPU - Batch Size: 32 - Model: GoogLeNet (images/sec)",HIB,100.57,101.79,101.18 "AOM AV1 - Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K (FPS)",HIB,15.82,16.43,16.33 "AOM AV1 - Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K (FPS)",HIB,16.04,16.56,16.63 "dav1d - Video Input: Summer Nature 1080p (FPS)",HIB,96.8,96.07,95.86 "SPECFEM3D - Model: Water-layered Halfspace (sec)",LIB,31.466335812,30.372995715,30.958272243 "TensorFlow - Device: CPU - Batch Size: 64 - Model: AlexNet (images/sec)",HIB,236.08,228.16,227.64 "SPECFEM3D - Model: Layered Halfspace (sec)",LIB,29.635032517,29.523601764,29.647600618 "Stress-NG - Test: Atomic (Bogo Ops/s)",HIB,139.8,163.26,349.89 "Blender - Blend File: Fishy Cat - Compute: CPU-Only (sec)",LIB,32.22,32.29,32.07 "Stress-NG - Test: Futex (Bogo Ops/s)",HIB,957096.2,1018129.24,1056011.64 "Stress-NG - Test: Pthread (Bogo Ops/s)",HIB,87858.71,87532.4,90272.05 "Stress-NG - Test: Zlib (Bogo Ops/s)",HIB,6374.22,5549.21,6511.98 "Stress-NG - Test: Socket Activity (Bogo Ops/s)",HIB,94302.89,79477.34,50201.57 "Stress-NG - Test: Memory Copying (Bogo Ops/s)",HIB,10941.37,10922.24,10908.2 "John The Ripper - Test: WPA PSK (Real C/S)",HIB,483328,482323,255829 "Stress-NG - Test: IO_uring (Bogo Ops/s)",HIB,26355.62,26364.63,26405.01 "John The Ripper - Test: bcrypt (Real C/S)",HIB,114777,114825,64015 "John The Ripper - Test: Blowfish (Real C/S)",HIB,114499,107388,51517 "Stress-NG - Test: CPU Cache (Bogo Ops/s)",HIB,1441584.05,1691720.8,1657780.82 "Stress-NG - Test: Malloc (Bogo Ops/s)",HIB,190168476.52,191206280.2,190376822.58 "Stress-NG - Test: System V Message Passing (Bogo Ops/s)",HIB,10295375.81,10283641.13,73426960.15 "Stress-NG - Test: MEMFD (Bogo Ops/s)",HIB,766.9,583.83,583.2 "Stress-NG - Test: NUMA (Bogo Ops/s)",HIB,437.26,432.4,433.52 "Stress-NG - Test: Poll (Bogo Ops/s)",HIB,9551392.98,9566416.75,9500903.35 "Stress-NG - Test: Glibc C String Functions (Bogo Ops/s)",HIB,60467587.4,59352709.91,58278938.78 "Stress-NG - Test: Semaphores (Bogo Ops/s)",HIB,11840389.35,12234144.91,12232435.5 "Stress-NG - Test: Vector Math (Bogo Ops/s)",HIB,306730.85,306299.59,306225.09 "Stress-NG - Test: Matrix Math (Bogo Ops/s)",HIB,335705.12,341137.35,341249.75 "Stress-NG - Test: CPU Stress (Bogo Ops/s)",HIB,152655.29,152455.93,157803.19 "Stress-NG - Test: Hash (Bogo Ops/s)",HIB,12949136.28,13204487.51,13066446.38 "Stress-NG - Test: SENDFILE (Bogo Ops/s)",HIB,1143575.46,1162795.27,1165355.2 "Stress-NG - Test: Function Call (Bogo Ops/s)",HIB,429335.83,413303.53,431183.83 "Stress-NG - Test: Mutex (Bogo Ops/s)",HIB,36280764.76,36505304.6,36276764.04 "Stress-NG - Test: Forking (Bogo Ops/s)",HIB,65824.56,66467.95,65696.65 "Stress-NG - Test: Crypto (Bogo Ops/s)",HIB,105894.93,108459.26,107612.44 "Stress-NG - Test: MMAP (Bogo Ops/s)",HIB,3124.36,3115.23,3092.95 "Stress-NG - Test: x86_64 RdRand (Bogo Ops/s)",HIB,658591.72,658461.44,658542.68 "Stress-NG - Test: Glibc Qsort Data Sorting (Bogo Ops/s)",HIB,1550.53,1546.69,1547.2 "Stress-NG - Test: Context Switching (Bogo Ops/s)",HIB,3511158.35,3508321.29,3511599.94 "TensorFlow - Device: CPU - Batch Size: 16 - Model: GoogLeNet (images/sec)",HIB,73.81,72.81,72.7 "GROMACS - Implementation: MPI CPU - Input: water_GMX50_bare (Ns/Day)",HIB,9.268,9.199,9.259 "AOM AV1 - Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p (FPS)",HIB,0.73,0.73,0.73 "Darmstadt Automotive Parallel Heterogeneous Suite - Backend: OpenMP - Kernel: Euclidean Cluster (Test Cases/min)",HIB,842.32,796.63,848.69 "Darmstadt Automotive Parallel Heterogeneous Suite - Backend: OpenMP - Kernel: NDT Mapping (Test Cases/min)",HIB,817.52,771.26,892.13 "Blender - Blend File: BMW27 - Compute: CPU-Only (sec)",LIB,24.2,24.36,24.42 "SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 4K (FPS)",HIB,37.744,38.178,37.328 "TensorFlow - Device: CPU - Batch Size: 32 - Model: AlexNet (images/sec)",HIB,178.52,174.81,175.31 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,3.67056,4.16467, "AOM AV1 - Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p (FPS)",HIB,28.78,27.93,28.61 "SPECFEM3D - Model: Homogeneous Halfspace (sec)",LIB,18.02764317,18.182305176,18.287061065 "AOM AV1 - Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p (FPS)",HIB,29.39,29.81,29.56 "AOM AV1 - Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p (FPS)",HIB,30.04,30.21,30.98 "Embree - Binary: Pathtracer - Model: Asian Dragon Obj (FPS)",HIB,76.1659,76.6639,76.4083 "AOM AV1 - Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p (FPS)",HIB,31.7,31.1,30.01 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon Obj (FPS)",HIB,89.1801,89.2864,88.8879 "SPECFEM3D - Model: Tomographic Model (sec)",LIB,15.298794168,14.714132502,14.958818098 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.201235,0.21833, "Timed FFmpeg Compilation - Time To Compile (sec)",LIB,17.808,17.865,17.837 "SPECFEM3D - Model: Mount St. Helens (sec)",LIB,13.743206283,13.461312471,13.567236154 "TensorFlow - Device: CPU - Batch Size: 16 - Model: AlexNet (images/sec)",HIB,138.07,145.79,145.45 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,1.41955,1.40563, "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1.17192,1.16101, "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,2.10120,2.16346, "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU (ms)",LIB,0.875338,0.925478, "Embree - Binary: Pathtracer - Model: Crown (FPS)",HIB,71.2659,71.8254,71.888 "SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 4K (FPS)",HIB,116.885,119.691,120.064 "SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 4K (FPS)",HIB,97.161,97.19,97.574 "Embree - Binary: Pathtracer - Model: Asian Dragon (FPS)",HIB,84.3522,84.2763,84.5925 "Google Draco - Model: Church Facade (ms)",LIB,6765,6702,6767 "Embree - Binary: Pathtracer ISPC - Model: Crown (FPS)",HIB,87.9967,88.571,87.85 "Google Draco - Model: Lion (ms)",LIB,5502,5479,5521 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon (FPS)",HIB,103.136,104.4793,104.2777 "nginx - Connections: 1000 (Reqs/sec)",HIB,,, "Apache HTTP Server - Concurrent Requests: 1000 (Reqs/sec)",HIB,,, "Apache HTTP Server - Concurrent Requests: 100 (Reqs/sec)",HIB,,, "nginx - Connections: 100 (Reqs/sec)",HIB,,,