Intel Core i7-10700T testing with a Logic Supply RXM-181 (Z01-0002A026 BIOS) and Intel UHD 630 CML GT2 30GB 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 2212231-NE-CHRISTMAS95
christmas comet
Intel Core i7-10700T testing with a Logic Supply RXM-181 (Z01-0002A026 BIOS) and Intel UHD 630 CML GT2 30GB on Ubuntu 22.04 via the Phoronix Test Suite.
,,"a","b","c"
Processor,,Intel Core i7-10700T @ 4.50GHz (8 Cores / 16 Threads),Intel Core i7-10700T @ 4.50GHz (8 Cores / 16 Threads),Intel Core i7-10700T @ 4.50GHz (8 Cores / 16 Threads)
Motherboard,,Logic Supply RXM-181 (Z01-0002A026 BIOS),Logic Supply RXM-181 (Z01-0002A026 BIOS),Logic Supply RXM-181 (Z01-0002A026 BIOS)
Chipset,,Intel Comet Lake PCH,Intel Comet Lake PCH,Intel Comet Lake PCH
Memory,,32GB,32GB,32GB
Disk,,256GB TS256GMTS800,256GB TS256GMTS800,256GB TS256GMTS800
Graphics,,Intel UHD 630 CML GT2 30GB (1200MHz),Intel UHD 630 CML GT2 30GB (1200MHz),Intel UHD 630 CML GT2 30GB (1200MHz)
Audio,,Realtek ALC233,Realtek ALC233,Realtek ALC233
Monitor,,DELL P2415Q,DELL P2415Q,DELL P2415Q
Network,,Intel I219-LM + Intel I210,Intel I219-LM + Intel I210,Intel I219-LM + Intel I210
OS,,Ubuntu 22.04,Ubuntu 22.04,Ubuntu 22.04
Kernel,,5.15.0-52-generic (x86_64),5.15.0-52-generic (x86_64),5.15.0-52-generic (x86_64)
Desktop,,GNOME Shell 42.2,GNOME Shell 42.2,GNOME Shell 42.2
Display Server,,X Server + Wayland,X Server + Wayland,X Server + Wayland
OpenGL,,4.6 Mesa 22.0.1,4.6 Mesa 22.0.1,4.6 Mesa 22.0.1
OpenCL,,OpenCL 3.0,OpenCL 3.0,OpenCL 3.0
Vulkan,,1.3.204,1.3.204,1.3.204
Compiler,,GCC 11.3.0,GCC 11.3.0,GCC 11.3.0
File-System,,ext4,ext4,ext4
Screen Resolution,,1920x1080,1920x1080,1920x1080
,,"a","b","c"
"oneDNN - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU (ms)",LIB,10.8363,10.8813,47.6781
"oneDNN - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,2.48501,2.47157,51.5073
"oneDNN - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,2.37749,2.26968,40.0963
"oneDNN - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU (ms)",LIB,5.11104,5.03425,67.4107
"oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU (ms)",LIB,11.6929,12.5886,11.7109
"Numenta Anomaly Benchmark - Detector: Bayesian Changepoint (sec)",LIB,56.706,60.654,60.22
"FluidX3D - Test: FP32-FP16S (MLUPs/s)",HIB,357,377,381
"Numenta Anomaly Benchmark - Detector: Relative Entropy (sec)",LIB,32.183,32.448,34.335
"CockroachDB - Workload: MoVR - Concurrency: 256 (ops/s)",HIB,174.8,175.2,167
"oneDNN - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,3622.8,3783.41,3612.19
"oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,2.23303,2.2057,2.14039
"Numenta Anomaly Benchmark - Detector: Earthgecko Skyline (sec)",LIB,200.783,193.302,201.311
"rav1e - Speed: 10 (FPS)",HIB,8.33,8.621,8.654
"OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (ms)",LIB,22.07,22.52,22.85
"OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS)",HIB,181.05,177.44,174.87
"SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 1080p (FPS)",HIB,51.631,53.451,53.145
"CockroachDB - Workload: MoVR - Concurrency: 1024 (ops/s)",HIB,173.6,171.6,168.9
"SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 4K (FPS)",HIB,73.506,75.452,74.668
"oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,5.02536,5.05109,5.15364
"SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 4K (FPS)",HIB,79.105,80.31,80.973
"SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 1080p (FPS)",HIB,356.085,356.327,364.038
"Numenta Anomaly Benchmark - Detector: Windowed Gaussian (sec)",LIB,18.272,18.344,18.648
"rav1e - Speed: 5 (FPS)",HIB,2.238,2.269,2.284
"oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU (ms)",LIB,8.30947,8.38301,8.47927
"Timed Linux Kernel Compilation - Build: allmodconfig (sec)",LIB,2642.392,2642.66,2688.942
"OpenVINO - Model: Person Detection FP32 - Device: CPU (ms)",LIB,4627.4,4705.67,4632.94
"CockroachDB - Workload: KV, 95% Reads - Concurrency: 128 (ops/s)",HIB,31139.2,30808.9,30644.9
"Scikit-Learn - Benchmark: TSNE MNIST Dataset (sec)",LIB,109.345,108.375,110.002
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (ms)",LIB,2.03,2.03,2
"SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 1080p (FPS)",HIB,323.225,324.322,328.002
"SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 4K (FPS)",HIB,1.229,1.247,1.247
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (FPS)",HIB,3914.1,3925.52,3970.02
"CockroachDB - Workload: KV, 60% Reads - Concurrency: 1024 (ops/s)",HIB,24536.7,24424.9,24231
"SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 1080p (FPS)",HIB,4.392,4.433,4.446
"rav1e - Speed: 6 (FPS)",HIB,3.125,3.163,3.155
"CockroachDB - Workload: MoVR - Concurrency: 128 (ops/s)",HIB,174.4,175.2,173.1
"Numenta Anomaly Benchmark - Detector: KNN CAD (sec)",LIB,364.397,364.876,360.585
"SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 4K (FPS)",HIB,16.499,16.693,16.673
"FluidX3D - Test: FP32-FP16C (MLUPs/s)",HIB,173,175,175
"OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (ms)",LIB,37.9,38.33,38.12
"OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (FPS)",HIB,105.44,104.28,104.85
"Stargate Digital Audio Workstation - Sample Rate: 44100 - Buffer Size: 512 (Render Ratio)",HIB,1.69939,1.717714,1.704004
"OpenVKL - Benchmark: vklBenchmark ISPC (Items / Sec)",HIB,93,94,94
"CockroachDB - Workload: MoVR - Concurrency: 512 (ops/s)",HIB,173.9,172.1,173.1
"oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,17.1397,17.1202,17.2961
"nekRS - Input: TurboPipe Periodic (FLOP/s)",HIB,25130200000,25286500000,25386800000
"OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS)",HIB,260.1,258.24,257.58
"CockroachDB - Workload: KV, 10% Reads - Concurrency: 256 (ops/s)",HIB,21256.3,21051.4,21050.4
"OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (ms)",LIB,30.73,30.96,31.03
"rav1e - Speed: 1 (FPS)",HIB,0.413,0.417,0.416
"CockroachDB - Workload: KV, 95% Reads - Concurrency: 256 (ops/s)",HIB,30543,30259.7,30253.2
"Numenta Anomaly Benchmark - Detector: Contextual Anomaly Detector OSE (sec)",LIB,69.885,70.238,69.625
"CockroachDB - Workload: KV, 10% Reads - Concurrency: 128 (ops/s)",HIB,12318.5,12364.9,12422.9
"oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,3.80985,3.77816,3.78238
"oneDNN - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,6869.52,6897.51,6842.96
"oneDNN - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,6878.39,6904.88,6850.47
"Blender - Blend File: Barbershop - Compute: CPU-Only (sec)",LIB,3260.14,3257.91,3234.94
"Stargate Digital Audio Workstation - Sample Rate: 480000 - Buffer Size: 512 (Render Ratio)",HIB,1.638868,1.651464,1.649194
"OpenVINO - Model: Face Detection FP16 - Device: CPU (FPS)",HIB,1.37,1.37,1.38
"CockroachDB - Workload: KV, 50% Reads - Concurrency: 512 (ops/s)",HIB,25227.2,25164.2,25045.3
"OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (ms)",LIB,32.08,31.98,31.85
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (FPS)",HIB,3609.48,3595.44,3620.42
"OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (FPS)",HIB,124.59,124.97,125.45
"CockroachDB - Workload: KV, 50% Reads - Concurrency: 1024 (ops/s)",HIB,23641.5,23487.2,23596
"Blender - Blend File: BMW27 - Compute: CPU-Only (sec)",LIB,306.09,305.77,307.76
"OpenVINO - Model: Face Detection FP16 - Device: CPU (ms)",LIB,2907.95,2900.79,2889.56
"oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,15.5046,15.5676,15.4711
"CockroachDB - Workload: KV, 10% Reads - Concurrency: 1024 (ops/s)",HIB,21256.4,21125.9,21160.8
"CockroachDB - Workload: KV, 95% Reads - Concurrency: 1024 (ops/s)",HIB,28002.8,27948,27834.5
"oneDNN - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,3640.28,3657.32,3636.49
"CockroachDB - Workload: KV, 50% Reads - Concurrency: 256 (ops/s)",HIB,25273.3,25267.5,25133.1
"oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU (ms)",LIB,3.99763,4.01087,3.99005
"CockroachDB - Workload: KV, 60% Reads - Concurrency: 512 (ops/s)",HIB,25923.7,25936.5,26058.7
"CockroachDB - Workload: KV, 10% Reads - Concurrency: 512 (ops/s)",HIB,22167.5,22053.8,22080.3
"FluidX3D - Test: FP32-FP32 (MLUPs/s)",HIB,201,201,200
"CockroachDB - Workload: KV, 50% Reads - Concurrency: 128 (ops/s)",HIB,21728.4,21711.8,21625.8
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (ms)",LIB,2.2,2.21,2.2
"oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,6850.49,6861.12,6832.22
"CockroachDB - Workload: KV, 60% Reads - Concurrency: 128 (ops/s)",HIB,24369.6,24360.3,24267.8
"Timed Linux Kernel Compilation - Build: defconfig (sec)",LIB,190.421,189.627,189.634
"Stargate Digital Audio Workstation - Sample Rate: 192000 - Buffer Size: 512 (Render Ratio)",HIB,0.791489,0.794756,0.792159
"OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (ms)",LIB,24.25,24.35,24.35
"OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (ms)",LIB,1552.62,1555.24,1548.9
"OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS)",HIB,164.79,164.14,164.12
"OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (FPS)",HIB,2.57,2.57,2.58
"Stargate Digital Audio Workstation - Sample Rate: 480000 - Buffer Size: 1024 (Render Ratio)",HIB,1.731054,1.733011,1.737779
"Stargate Digital Audio Workstation - Sample Rate: 192000 - Buffer Size: 1024 (Render Ratio)",HIB,0.867297,0.870159,0.870579
"Scikit-Learn - Benchmark: MNIST Dataset (sec)",LIB,251.412,252.299,251.815
"Blender - Blend File: Classroom - Compute: CPU-Only (sec)",LIB,902.53,904.16,905.71
"CockroachDB - Workload: KV, 60% Reads - Concurrency: 256 (ops/s)",HIB,26268.4,26246.9,26188
"Blender - Blend File: Pabellon Barcelona - Compute: CPU-Only (sec)",LIB,1083.6,1086.78,1083.92
"OpenVINO - Model: Person Detection FP16 - Device: CPU (ms)",LIB,4564.3,4567.98,4555.58
"OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (ms)",LIB,268.31,267.76,267.65
"Scikit-Learn - Benchmark: Sparse Random Projections, 100 Iterations (sec)",LIB,3294.519,3294.87,3302.545
"Stargate Digital Audio Workstation - Sample Rate: 44100 - Buffer Size: 1024 (Render Ratio)",HIB,1.798704,1.802469,1.802314
"CockroachDB - Workload: KV, 95% Reads - Concurrency: 512 (ops/s)",HIB,29621.9,29633.5,29572.8
"oneDNN - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU (ms)",LIB,3625.06,3632.36,3629.54
"OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (FPS)",HIB,14.9,14.92,14.93
"Stargate Digital Audio Workstation - Sample Rate: 96000 - Buffer Size: 1024 (Render Ratio)",HIB,1.293792,1.29592,1.295966
"Stargate Digital Audio Workstation - Sample Rate: 96000 - Buffer Size: 512 (Render Ratio)",HIB,1.204979,1.206529,1.206909
"Blender - Blend File: Fishy Cat - Compute: CPU-Only (sec)",LIB,417.83,417.45,417.82
"OpenVINO - Model: Person Detection FP32 - Device: CPU (FPS)",HIB,0.85,0.85,0.85
"OpenVINO - Model: Person Detection FP16 - Device: CPU (FPS)",HIB,0.86,0.86,0.86
"OpenVKL - Benchmark: vklBenchmark Scalar (Items / Sec)",HIB,46,46,46
"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,,,