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:
Processor: Intel Core i7-10700T @ 4.50GHz (8 Cores / 16 Threads), Motherboard: Logic Supply RXM-181 (Z01-0002A026 BIOS), Chipset: Intel Comet Lake PCH, Memory: 32GB, Disk: 256GB TS256GMTS800, Graphics: Intel UHD 630 CML GT2 30GB (1200MHz), Audio: Realtek ALC233, Monitor: DELL P2415Q, Network: Intel I219-LM + Intel I210
OS: Ubuntu 22.04, Kernel: 5.15.0-52-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.0.1, OpenCL: OpenCL 3.0, Vulkan: 1.3.204, Compiler: GCC 11.3.0, File-System: ext4, Screen Resolution: 1920x1080
b:
Processor: Intel Core i7-10700T @ 4.50GHz (8 Cores / 16 Threads), Motherboard: Logic Supply RXM-181 (Z01-0002A026 BIOS), Chipset: Intel Comet Lake PCH, Memory: 32GB, Disk: 256GB TS256GMTS800, Graphics: Intel UHD 630 CML GT2 30GB (1200MHz), Audio: Realtek ALC233, Monitor: DELL P2415Q, Network: Intel I219-LM + Intel I210
OS: Ubuntu 22.04, Kernel: 5.15.0-52-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.0.1, OpenCL: OpenCL 3.0, Vulkan: 1.3.204, Compiler: GCC 11.3.0, File-System: ext4, Screen Resolution: 1920x1080
c:
Processor: Intel Core i7-10700T @ 4.50GHz (8 Cores / 16 Threads), Motherboard: Logic Supply RXM-181 (Z01-0002A026 BIOS), Chipset: Intel Comet Lake PCH, Memory: 32GB, Disk: 256GB TS256GMTS800, Graphics: Intel UHD 630 CML GT2 30GB (1200MHz), Audio: Realtek ALC233, Monitor: DELL P2415Q, Network: Intel I219-LM + Intel I210
OS: Ubuntu 22.04, Kernel: 5.15.0-52-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.0.1, OpenCL: OpenCL 3.0, Vulkan: 1.3.204, Compiler: GCC 11.3.0, File-System: ext4, Screen Resolution: 1920x1080
Stargate Digital Audio Workstation 22.11.5
Sample Rate: 44100 - Buffer Size: 512
Render Ratio > Higher Is Better
a . 1.699390 |================================================================
b . 1.717714 |=================================================================
c . 1.704004 |================================================================
Stargate Digital Audio Workstation 22.11.5
Sample Rate: 96000 - Buffer Size: 512
Render Ratio > Higher Is Better
a . 1.204979 |=================================================================
b . 1.206529 |=================================================================
c . 1.206909 |=================================================================
Stargate Digital Audio Workstation 22.11.5
Sample Rate: 192000 - Buffer Size: 512
Render Ratio > Higher Is Better
a . 0.791489 |=================================================================
b . 0.794756 |=================================================================
c . 0.792159 |=================================================================
Stargate Digital Audio Workstation 22.11.5
Sample Rate: 44100 - Buffer Size: 1024
Render Ratio > Higher Is Better
a . 1.798704 |=================================================================
b . 1.802469 |=================================================================
c . 1.802314 |=================================================================
Stargate Digital Audio Workstation 22.11.5
Sample Rate: 480000 - Buffer Size: 512
Render Ratio > Higher Is Better
a . 1.638868 |=================================================================
b . 1.651464 |=================================================================
c . 1.649194 |=================================================================
Stargate Digital Audio Workstation 22.11.5
Sample Rate: 96000 - Buffer Size: 1024
Render Ratio > Higher Is Better
a . 1.293792 |=================================================================
b . 1.295920 |=================================================================
c . 1.295966 |=================================================================
Stargate Digital Audio Workstation 22.11.5
Sample Rate: 192000 - Buffer Size: 1024
Render Ratio > Higher Is Better
a . 0.867297 |=================================================================
b . 0.870159 |=================================================================
c . 0.870579 |=================================================================
Stargate Digital Audio Workstation 22.11.5
Sample Rate: 480000 - Buffer Size: 1024
Render Ratio > Higher Is Better
a . 1.731054 |=================================================================
b . 1.733011 |=================================================================
c . 1.737779 |=================================================================
nekRS 22.0
Input: TurboPipe Periodic
FLOP/s > Higher Is Better
a . 25130200000 |=============================================================
b . 25286500000 |==============================================================
c . 25386800000 |==============================================================
Numenta Anomaly Benchmark 1.1
Detector: KNN CAD
Seconds < Lower Is Better
a . 364.40 |===================================================================
b . 364.88 |===================================================================
c . 360.59 |==================================================================
Numenta Anomaly Benchmark 1.1
Detector: Relative Entropy
Seconds < Lower Is Better
a . 32.18 |================================================================
b . 32.45 |================================================================
c . 34.34 |====================================================================
Numenta Anomaly Benchmark 1.1
Detector: Windowed Gaussian
Seconds < Lower Is Better
a . 18.27 |===================================================================
b . 18.34 |===================================================================
c . 18.65 |====================================================================
Numenta Anomaly Benchmark 1.1
Detector: Earthgecko Skyline
Seconds < Lower Is Better
a . 200.78 |===================================================================
b . 193.30 |================================================================
c . 201.31 |===================================================================
Numenta Anomaly Benchmark 1.1
Detector: Bayesian Changepoint
Seconds < Lower Is Better
a . 56.71 |================================================================
b . 60.65 |====================================================================
c . 60.22 |====================================================================
Numenta Anomaly Benchmark 1.1
Detector: Contextual Anomaly Detector OSE
Seconds < Lower Is Better
a . 69.89 |====================================================================
b . 70.24 |====================================================================
c . 69.63 |===================================================================
Scikit-Learn 1.1.3
Benchmark: MNIST Dataset
Seconds < Lower Is Better
a . 251.41 |===================================================================
b . 252.30 |===================================================================
c . 251.82 |===================================================================
Scikit-Learn 1.1.3
Benchmark: TSNE MNIST Dataset
Seconds < Lower Is Better
a . 109.35 |===================================================================
b . 108.38 |==================================================================
c . 110.00 |===================================================================
Scikit-Learn 1.1.3
Benchmark: Sparse Random Projections, 100 Iterations
Seconds < Lower Is Better
a . 3294.52 |==================================================================
b . 3294.87 |==================================================================
c . 3302.55 |==================================================================
oneDNN 3.0
Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 5.11104 |=====
b . 5.03425 |=====
c . 67.41070 |=================================================================
oneDNN 3.0
Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 10.84 |===============
b . 10.88 |================
c . 47.68 |====================================================================
oneDNN 3.0
Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 2.37749 |====
b . 2.26968 |====
c . 40.09630 |=================================================================
oneDNN 3.0
Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 2.48501 |===
b . 2.47157 |===
c . 51.50730 |=================================================================
oneDNN 3.0
Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
oneDNN 3.0
Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
oneDNN 3.0
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 17.14 |===================================================================
b . 17.12 |===================================================================
c . 17.30 |====================================================================
oneDNN 3.0
Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 11.69 |===============================================================
b . 12.59 |====================================================================
c . 11.71 |===============================================================
oneDNN 3.0
Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 8.30947 |=================================================================
b . 8.38301 |=================================================================
c . 8.47927 |==================================================================
oneDNN 3.0
Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 15.50 |====================================================================
b . 15.57 |====================================================================
c . 15.47 |====================================================================
oneDNN 3.0
Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 3.80985 |==================================================================
b . 3.77816 |=================================================================
c . 3.78238 |==================================================================
oneDNN 3.0
Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 5.02536 |================================================================
b . 5.05109 |=================================================================
c . 5.15364 |==================================================================
oneDNN 3.0
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 6850.49 |==================================================================
b . 6861.12 |==================================================================
c . 6832.22 |==================================================================
oneDNN 3.0
Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 3625.06 |==================================================================
b . 3632.36 |==================================================================
c . 3629.54 |==================================================================
oneDNN 3.0
Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 6878.39 |==================================================================
b . 6904.88 |==================================================================
c . 6850.47 |=================================================================
oneDNN 3.0
Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
oneDNN 3.0
Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
oneDNN 3.0
Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
oneDNN 3.0
Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 3622.80 |===============================================================
b . 3783.41 |==================================================================
c . 3612.19 |===============================================================
oneDNN 3.0
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 3.99763 |==================================================================
b . 4.01087 |==================================================================
c . 3.99005 |==================================================================
oneDNN 3.0
Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
a . 6869.52 |==================================================================
b . 6897.51 |==================================================================
c . 6842.96 |=================================================================
oneDNN 3.0
Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
a . 3640.28 |==================================================================
b . 3657.32 |==================================================================
c . 3636.49 |==================================================================
oneDNN 3.0
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 2.23303 |==================================================================
b . 2.20570 |=================================================================
c . 2.14039 |===============================================================
oneDNN 3.0
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
OpenVINO 2022.3
Model: Face Detection FP16 - Device: CPU
FPS > Higher Is Better
a . 1.37 |=====================================================================
b . 1.37 |=====================================================================
c . 1.38 |=====================================================================
OpenVINO 2022.3
Model: Face Detection FP16 - Device: CPU
ms < Lower Is Better
a . 2907.95 |==================================================================
b . 2900.79 |==================================================================
c . 2889.56 |==================================================================
OpenVINO 2022.3
Model: Person Detection FP16 - Device: CPU
FPS > Higher Is Better
a . 0.86 |=====================================================================
b . 0.86 |=====================================================================
c . 0.86 |=====================================================================
OpenVINO 2022.3
Model: Person Detection FP16 - Device: CPU
ms < Lower Is Better
a . 4564.30 |==================================================================
b . 4567.98 |==================================================================
c . 4555.58 |==================================================================
OpenVINO 2022.3
Model: Person Detection FP32 - Device: CPU
FPS > Higher Is Better
a . 0.85 |=====================================================================
b . 0.85 |=====================================================================
c . 0.85 |=====================================================================
OpenVINO 2022.3
Model: Person Detection FP32 - Device: CPU
ms < Lower Is Better
a . 4627.40 |=================================================================
b . 4705.67 |==================================================================
c . 4632.94 |=================================================================
OpenVINO 2022.3
Model: Vehicle Detection FP16 - Device: CPU
FPS > Higher Is Better
a . 105.44 |===================================================================
b . 104.28 |==================================================================
c . 104.85 |===================================================================
OpenVINO 2022.3
Model: Vehicle Detection FP16 - Device: CPU
ms < Lower Is Better
a . 37.90 |===================================================================
b . 38.33 |====================================================================
c . 38.12 |====================================================================
OpenVINO 2022.3
Model: Face Detection FP16-INT8 - Device: CPU
FPS > Higher Is Better
a . 2.57 |=====================================================================
b . 2.57 |=====================================================================
c . 2.58 |=====================================================================
OpenVINO 2022.3
Model: Face Detection FP16-INT8 - Device: CPU
ms < Lower Is Better
a . 1552.62 |==================================================================
b . 1555.24 |==================================================================
c . 1548.90 |==================================================================
OpenVINO 2022.3
Model: Vehicle Detection FP16-INT8 - Device: CPU
FPS > Higher Is Better
a . 164.79 |===================================================================
b . 164.14 |===================================================================
c . 164.12 |===================================================================
OpenVINO 2022.3
Model: Vehicle Detection FP16-INT8 - Device: CPU
ms < Lower Is Better
a . 24.25 |====================================================================
b . 24.35 |====================================================================
c . 24.35 |====================================================================
OpenVINO 2022.3
Model: Weld Porosity Detection FP16 - Device: CPU
FPS > Higher Is Better
a . 124.59 |===================================================================
b . 124.97 |===================================================================
c . 125.45 |===================================================================
OpenVINO 2022.3
Model: Weld Porosity Detection FP16 - Device: CPU
ms < Lower Is Better
a . 32.08 |====================================================================
b . 31.98 |====================================================================
c . 31.85 |====================================================================
OpenVINO 2022.3
Model: Machine Translation EN To DE FP16 - Device: CPU
FPS > Higher Is Better
a . 14.90 |====================================================================
b . 14.92 |====================================================================
c . 14.93 |====================================================================
OpenVINO 2022.3
Model: Machine Translation EN To DE FP16 - Device: CPU
ms < Lower Is Better
a . 268.31 |===================================================================
b . 267.76 |===================================================================
c . 267.65 |===================================================================
OpenVINO 2022.3
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
FPS > Higher Is Better
a . 260.10 |===================================================================
b . 258.24 |===================================================================
c . 257.58 |==================================================================
OpenVINO 2022.3
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
ms < Lower Is Better
a . 30.73 |===================================================================
b . 30.96 |====================================================================
c . 31.03 |====================================================================
OpenVINO 2022.3
Model: Person Vehicle Bike Detection FP16 - Device: CPU
FPS > Higher Is Better
a . 181.05 |===================================================================
b . 177.44 |==================================================================
c . 174.87 |=================================================================
OpenVINO 2022.3
Model: Person Vehicle Bike Detection FP16 - Device: CPU
ms < Lower Is Better
a . 22.07 |==================================================================
b . 22.52 |===================================================================
c . 22.85 |====================================================================
OpenVINO 2022.3
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
FPS > Higher Is Better
a . 3609.48 |==================================================================
b . 3595.44 |==================================================================
c . 3620.42 |==================================================================
OpenVINO 2022.3
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
ms < Lower Is Better
a . 2.20 |=====================================================================
b . 2.21 |=====================================================================
c . 2.20 |=====================================================================
OpenVINO 2022.3
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
FPS > Higher Is Better
a . 3914.10 |=================================================================
b . 3925.52 |=================================================================
c . 3970.02 |==================================================================
OpenVINO 2022.3
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
ms < Lower Is Better
a . 2.03 |=====================================================================
b . 2.03 |=====================================================================
c . 2.00 |====================================================================
Timed Linux Kernel Compilation 6.1
Build: defconfig
Seconds < Lower Is Better
a . 190.42 |===================================================================
b . 189.63 |===================================================================
c . 189.63 |===================================================================
Timed Linux Kernel Compilation 6.1
Build: allmodconfig
Seconds < Lower Is Better
a . 2642.39 |=================================================================
b . 2642.66 |=================================================================
c . 2688.94 |==================================================================
SVT-AV1 1.4
Encoder Mode: Preset 4 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 1.229 |===================================================================
b . 1.247 |====================================================================
c . 1.247 |====================================================================
SVT-AV1 1.4
Encoder Mode: Preset 8 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 16.50 |===================================================================
b . 16.69 |====================================================================
c . 16.67 |====================================================================
SVT-AV1 1.4
Encoder Mode: Preset 12 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 73.51 |==================================================================
b . 75.45 |====================================================================
c . 74.67 |===================================================================
SVT-AV1 1.4
Encoder Mode: Preset 13 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 79.11 |==================================================================
b . 80.31 |===================================================================
c . 80.97 |====================================================================
SVT-AV1 1.4
Encoder Mode: Preset 4 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 4.392 |===================================================================
b . 4.433 |====================================================================
c . 4.446 |====================================================================
SVT-AV1 1.4
Encoder Mode: Preset 8 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 51.63 |==================================================================
b . 53.45 |====================================================================
c . 53.15 |====================================================================
SVT-AV1 1.4
Encoder Mode: Preset 12 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 323.23 |==================================================================
b . 324.32 |==================================================================
c . 328.00 |===================================================================
SVT-AV1 1.4
Encoder Mode: Preset 13 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 356.09 |==================================================================
b . 356.33 |==================================================================
c . 364.04 |===================================================================
Blender 3.4
Blend File: BMW27 - Compute: CPU-Only
Seconds < Lower Is Better
a . 306.09 |===================================================================
b . 305.77 |===================================================================
c . 307.76 |===================================================================
Blender 3.4
Blend File: Classroom - Compute: CPU-Only
Seconds < Lower Is Better
a . 902.53 |===================================================================
b . 904.16 |===================================================================
c . 905.71 |===================================================================
Blender 3.4
Blend File: Fishy Cat - Compute: CPU-Only
Seconds < Lower Is Better
a . 417.83 |===================================================================
b . 417.45 |===================================================================
c . 417.82 |===================================================================
Blender 3.4
Blend File: Barbershop - Compute: CPU-Only
Seconds < Lower Is Better
a . 3260.14 |==================================================================
b . 3257.91 |==================================================================
c . 3234.94 |=================================================================
Blender 3.4
Blend File: Pabellon Barcelona - Compute: CPU-Only
Seconds < Lower Is Better
a . 1083.60 |==================================================================
b . 1086.78 |==================================================================
c . 1083.92 |==================================================================
rav1e 0.6.1
Speed: 1
Frames Per Second > Higher Is Better
a . 0.413 |===================================================================
b . 0.417 |====================================================================
c . 0.416 |====================================================================
rav1e 0.6.1
Speed: 5
Frames Per Second > Higher Is Better
a . 2.238 |===================================================================
b . 2.269 |====================================================================
c . 2.284 |====================================================================
rav1e 0.6.1
Speed: 6
Frames Per Second > Higher Is Better
a . 3.125 |===================================================================
b . 3.163 |====================================================================
c . 3.155 |====================================================================
rav1e 0.6.1
Speed: 10
Frames Per Second > Higher Is Better
a . 8.330 |=================================================================
b . 8.621 |====================================================================
c . 8.654 |====================================================================
OpenVKL 1.3.1
Benchmark: vklBenchmark ISPC
Items / Sec > Higher Is Better
a . 93 |======================================================================
b . 94 |=======================================================================
c . 94 |=======================================================================
OpenVKL 1.3.1
Benchmark: vklBenchmark Scalar
Items / Sec > Higher Is Better
a . 46 |=======================================================================
b . 46 |=======================================================================
c . 46 |=======================================================================
FluidX3D 1.4
Test: FP32-FP32
MLUPs/s > Higher Is Better
a . 201 |======================================================================
b . 201 |======================================================================
c . 200 |======================================================================
FluidX3D 1.4
Test: FP32-FP16C
MLUPs/s > Higher Is Better
a . 173 |=====================================================================
b . 175 |======================================================================
c . 175 |======================================================================
FluidX3D 1.4
Test: FP32-FP16S
MLUPs/s > Higher Is Better
a . 357 |==================================================================
b . 377 |=====================================================================
c . 381 |======================================================================
CockroachDB 22.2
Workload: MoVR - Concurrency: 128
ops/s > Higher Is Better
a . 174.4 |====================================================================
b . 175.2 |====================================================================
c . 173.1 |===================================================================
CockroachDB 22.2
Workload: MoVR - Concurrency: 256
ops/s > Higher Is Better
a . 174.8 |====================================================================
b . 175.2 |====================================================================
c . 167.0 |=================================================================
CockroachDB 22.2
Workload: MoVR - Concurrency: 512
ops/s > Higher Is Better
a . 173.9 |====================================================================
b . 172.1 |===================================================================
c . 173.1 |====================================================================
CockroachDB 22.2
Workload: MoVR - Concurrency: 1024
ops/s > Higher Is Better
a . 173.6 |====================================================================
b . 171.6 |===================================================================
c . 168.9 |==================================================================
CockroachDB 22.2
Workload: KV, 10% Reads - Concurrency: 128
ops/s > Higher Is Better
a . 12318.5 |=================================================================
b . 12364.9 |==================================================================
c . 12422.9 |==================================================================
CockroachDB 22.2
Workload: KV, 10% Reads - Concurrency: 256
ops/s > Higher Is Better
a . 21256.3 |==================================================================
b . 21051.4 |=================================================================
c . 21050.4 |=================================================================
CockroachDB 22.2
Workload: KV, 10% Reads - Concurrency: 512
ops/s > Higher Is Better
a . 22167.5 |==================================================================
b . 22053.8 |==================================================================
c . 22080.3 |==================================================================
CockroachDB 22.2
Workload: KV, 50% Reads - Concurrency: 128
ops/s > Higher Is Better
a . 21728.4 |==================================================================
b . 21711.8 |==================================================================
c . 21625.8 |==================================================================
CockroachDB 22.2
Workload: KV, 50% Reads - Concurrency: 256
ops/s > Higher Is Better
a . 25273.3 |==================================================================
b . 25267.5 |==================================================================
c . 25133.1 |==================================================================
CockroachDB 22.2
Workload: KV, 50% Reads - Concurrency: 512
ops/s > Higher Is Better
a . 25227.2 |==================================================================
b . 25164.2 |==================================================================
c . 25045.3 |==================================================================
CockroachDB 22.2
Workload: KV, 60% Reads - Concurrency: 128
ops/s > Higher Is Better
a . 24369.6 |==================================================================
b . 24360.3 |==================================================================
c . 24267.8 |==================================================================
CockroachDB 22.2
Workload: KV, 60% Reads - Concurrency: 256
ops/s > Higher Is Better
a . 26268.4 |==================================================================
b . 26246.9 |==================================================================
c . 26188.0 |==================================================================
CockroachDB 22.2
Workload: KV, 60% Reads - Concurrency: 512
ops/s > Higher Is Better
a . 25923.7 |==================================================================
b . 25936.5 |==================================================================
c . 26058.7 |==================================================================
CockroachDB 22.2
Workload: KV, 95% Reads - Concurrency: 128
ops/s > Higher Is Better
a . 31139.2 |==================================================================
b . 30808.9 |=================================================================
c . 30644.9 |=================================================================
CockroachDB 22.2
Workload: KV, 95% Reads - Concurrency: 256
ops/s > Higher Is Better
a . 30543.0 |==================================================================
b . 30259.7 |=================================================================
c . 30253.2 |=================================================================
CockroachDB 22.2
Workload: KV, 95% Reads - Concurrency: 512
ops/s > Higher Is Better
a . 29621.9 |==================================================================
b . 29633.5 |==================================================================
c . 29572.8 |==================================================================
CockroachDB 22.2
Workload: KV, 10% Reads - Concurrency: 1024
ops/s > Higher Is Better
a . 21256.4 |==================================================================
b . 21125.9 |==================================================================
c . 21160.8 |==================================================================
CockroachDB 22.2
Workload: KV, 50% Reads - Concurrency: 1024
ops/s > Higher Is Better
a . 23641.5 |==================================================================
b . 23487.2 |==================================================================
c . 23596.0 |==================================================================
CockroachDB 22.2
Workload: KV, 60% Reads - Concurrency: 1024
ops/s > Higher Is Better
a . 24536.7 |==================================================================
b . 24424.9 |==================================================================
c . 24231.0 |=================================================================
CockroachDB 22.2
Workload: KV, 95% Reads - Concurrency: 1024
ops/s > Higher Is Better
a . 28002.8 |==================================================================
b . 27948.0 |==================================================================
c . 27834.5 |==================================================================