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