Core i3 10100 Okt

Intel Core i3-10100 testing with a Gigabyte B460M DS3H (F2 BIOS) and Gigabyte Intel UHD 630 3GB on Ubuntu 20.04 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 2010035-FI-COREI310132
Jump To Table - Results

View

Do Not Show Noisy Results
Do Not Show Results With Incomplete Data
Do Not Show Results With Little Change/Spread
List Notable Results

Limit displaying results to tests within:

Bioinformatics 2 Tests
BLAS (Basic Linear Algebra Sub-Routine) Tests 3 Tests
C/C++ Compiler Tests 9 Tests
Compression Tests 2 Tests
CPU Massive 10 Tests
Creator Workloads 5 Tests
Database Test Suite 4 Tests
Fortran Tests 4 Tests
HPC - High Performance Computing 17 Tests
Imaging 2 Tests
Machine Learning 7 Tests
Molecular Dynamics 4 Tests
MPI Benchmarks 4 Tests
Multi-Core 7 Tests
NVIDIA GPU Compute 6 Tests
OpenMPI Tests 4 Tests
Programmer / Developer System Benchmarks 2 Tests
Python Tests 5 Tests
Scientific Computing 10 Tests
Server 4 Tests
Server CPU Tests 3 Tests
Single-Threaded 3 Tests
Speech 2 Tests
Telephony 2 Tests
Vulkan Compute 3 Tests

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
Show Geometric Means Per-Suite/Category
Show Wins / Losses Counts (Pie Chart)
Normalize Results
Remove Outliers Before Calculating Averages

Graph Settings

Force Line Graphs Where Applicable
Convert To Scalar Where Applicable
Prefer Vertical Bar Graphs

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Hide
Result
Result
Identifier
View Logs
Performance Per
Dollar
Date
Run
  Test
  Duration
Linux 5.9-rc1
October 02 2020
  11 Hours, 2 Minutes
Linux 5.9-rc7
October 02 2020
  11 Hours, 26 Minutes
Linux 5.9-rc7 + mitigations=off
October 03 2020
  11 Hours, 31 Minutes
Invert Hiding All Results Option
  11 Hours, 20 Minutes

Only show results where is faster than
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):

Core i3 10100 Okt Intel Core i3-10100 testing with a Gigabyte B460M DS3H (F2 BIOS) and Gigabyte Intel UHD 630 3GB on Ubuntu 20.04 via the Phoronix Test Suite. ,,"Linux 5.9-rc1","Linux 5.9-rc7","Linux 5.9-rc7 + mitigations=off" Processor,,Intel Core i3-10100 @ 4.30GHz (4 Cores / 8 Threads),Intel Core i3-10100 @ 4.30GHz (4 Cores / 8 Threads),Intel Core i3-10100 @ 4.30GHz (4 Cores / 8 Threads) Motherboard,,Gigabyte B460M DS3H (F2 BIOS),Gigabyte B460M DS3H (F2 BIOS),Gigabyte B460M DS3H (F2 BIOS) Chipset,,Intel Device 9b63,Intel Device 9b63,Intel Device 9b63 Memory,,16GB,16GB,16GB Disk,,500GB Western Digital WDS500G3X0C-00SJG0,500GB Western Digital WDS500G3X0C-00SJG0,500GB Western Digital WDS500G3X0C-00SJG0 Graphics,,Gigabyte Intel UHD 630 3GB (1100MHz),Gigabyte Intel UHD 630 3GB (1100MHz),Gigabyte Intel UHD 630 3GB (1100MHz) Audio,,Realtek ALC887-VD,Realtek ALC887-VD,Realtek ALC887-VD Monitor,,G237HL,G237HL,G237HL Network,,Realtek RTL8111/8168/8411,Realtek RTL8111/8168/8411,Realtek RTL8111/8168/8411 OS,,Ubuntu 20.04,Ubuntu 20.04,Ubuntu 20.04 Kernel,,5.9.0-050900rc1daily20200819-generic (x86_64) 20200818,5.9.0-050900rc7daily20201002-generic (x86_64) 20201001,5.9.0-050900rc7daily20201002-generic (x86_64) 20201001 Desktop,,GNOME Shell 3.36.3,GNOME Shell 3.36.3,GNOME Shell 3.36.3 Display Server,,X Server 1.20.8,X Server 1.20.8,X Server 1.20.8 Display Driver,,modesetting 1.20.8,modesetting 1.20.8,modesetting 1.20.8 OpenGL,,4.6 Mesa 20.0.8,4.6 Mesa 20.0.8,4.6 Mesa 20.0.8 Vulkan,,1.2.131,1.2.131,1.2.131 Compiler,,GCC 9.3.0,GCC 9.3.0,GCC 9.3.0 File-System,,ext4,ext4,ext4 Screen Resolution,,1920x1080,1920x1080,1920x1080 ,,"Linux 5.9-rc1","Linux 5.9-rc7","Linux 5.9-rc7 + mitigations=off" "RealSR-NCNN - Scale: 4x - TAA: No (sec)",LIB,258.688,258.094,258.510 "VkFFT - (Benchmark Score)",HIB,1113,1109,1082 "GLmark2 - Resolution: 1920 x 1080 (Score)",HIB,452,474,473 "LeelaChessZero - Backend: BLAS (Nodes/s)",HIB,229,229,228 "LeelaChessZero - Backend: Eigen (Nodes/s)",HIB,519,530,513 "NAMD - ATPase Simulation - 327,506 Atoms (days/ns)",LIB,3.43492,3.42653,3.42570 "Dolfyn - Computational Fluid Dynamics (sec)",LIB,19.255,19.380,19.259 "FFTE - N=256, 3D Complex FFT Routine (MFLOPS)",HIB,16781.813676848,16977.210367245,17027.513818045 "Timed HMMer Search - Pfam Database Search (sec)",LIB,110.409,110.438,110.437 "Timed MAFFT Alignment - Multiple Sequence Alignment - LSU RNA (sec)",LIB,11.613,11.387,11.380 "Monte Carlo Simulations of Ionised Nebulae - Input: Dust 2D tau100.0 (sec)",LIB,271,271,270 "LAMMPS Molecular Dynamics Simulator - Model: Rhodopsin Protein (ns/day)",HIB,3.153,3.192,3.172 "WebP Image Encode - Encode Settings: Default (Encode Time - sec)",LIB,1.546,1.547,1.547 "WebP Image Encode - Encode Settings: Quality 100 (Encode Time - sec)",LIB,2.386,2.377,2.382 "WebP Image Encode - Encode Settings: Quality 100, Lossless (Encode Time - sec)",LIB,17.745,17.421,17.480 "WebP Image Encode - Encode Settings: Quality 100, Highest Compression (Encode Time - sec)",LIB,7.177,7.202,7.169 "WebP Image Encode - Encode Settings: Quality 100, Lossless, Highest Compression (Encode Time - sec)",LIB,43.614,43.357,43.295 "BYTE Unix Benchmark - Computational Test: Dhrystone 2 (LPS)",HIB,42635852.8,42736377.3,42562814.7 "Zstd Compression - Compression Level: 3 (MB/s)",HIB,1631.1,1631.6,1626.4 "Zstd Compression - Compression Level: 19 (MB/s)",HIB,15.1,15.1,15.2 "LibRaw - Post-Processing Benchmark (Mpix/sec)",HIB,31.96,31.82,31.47 "AOM AV1 - Encoder Mode: Speed 0 Two-Pass (FPS)",HIB,0.24,0.24,0.24 "AOM AV1 - Encoder Mode: Speed 4 Two-Pass (FPS)",HIB,2.06,2.06,2.04 "AOM AV1 - Encoder Mode: Speed 6 Realtime (FPS)",HIB,16.82,16.83,16.64 "AOM AV1 - Encoder Mode: Speed 6 Two-Pass (FPS)",HIB,3.30,3.28,3.25 "AOM AV1 - Encoder Mode: Speed 8 Realtime (FPS)",HIB,40.03,39.77,38.81 "Timed LLVM Compilation - Time To Compile (sec)",LIB,1378.968,1372.337,1373.732 "eSpeak-NG Speech Engine - Text-To-Speech Synthesis (sec)",LIB,29.948,31.275,30.254 "RNNoise - (sec)",LIB,25.140,25.172,25.226 "System GZIP Decompression - (sec)",LIB,2.941,2.947,2.949 "MPV - Video Input: Big Buck Bunny Sunflower 4K - Decode: Software Only (FPS)",HIB,82.51,82.38,82.51 "MPV - Video Input: Big Buck Bunny Sunflower 1080p - Decode: Software Only (FPS)",HIB,214.31,215.24,215.32 "Apache CouchDB - Bulk Size: 100 - Inserts: 1000 - Rounds: 24 (sec)",LIB,147.194,145.545,145.441 "KeyDB - (Ops/sec)",HIB,517377.47,510641.79,535529.45 "GROMACS - Water Benchmark (Ns/Day)",HIB,0.522,0.518,0.519 "PostgreSQL pgbench - Scaling Factor: 1 - Clients: 1 - Mode: Read Only (TPS)",HIB,28293,28241,29132 "PostgreSQL pgbench - Scaling Factor: 1 - Clients: 1 - Mode: Read Only - Average Latency (ms)",LIB,0.035,0.035,0.034 "PostgreSQL pgbench - Scaling Factor: 1 - Clients: 1 - Mode: Read Write (TPS)",HIB,2027,1991,2017 "PostgreSQL pgbench - Scaling Factor: 1 - Clients: 1 - Mode: Read Write - Average Latency (ms)",LIB,0.493,0.502,0.496 "PostgreSQL pgbench - Scaling Factor: 1 - Clients: 50 - Mode: Read Only (TPS)",HIB,130872,129303,133033 "PostgreSQL pgbench - Scaling Factor: 1 - Clients: 50 - Mode: Read Only - Average Latency (ms)",LIB,0.382,0.387,0.376 "PostgreSQL pgbench - Scaling Factor: 1 - Clients: 100 - Mode: Read Only (TPS)",HIB,119863,122211,124644 "PostgreSQL pgbench - Scaling Factor: 1 - Clients: 100 - Mode: Read Only - Average Latency (ms)",LIB,0.835,0.820,0.804 "PostgreSQL pgbench - Scaling Factor: 1 - Clients: 50 - Mode: Read Write (TPS)",HIB,2448,2399,2410 "PostgreSQL pgbench - Scaling Factor: 1 - Clients: 50 - Mode: Read Write - Average Latency (ms)",LIB,20.427,20.844,20.750 "PostgreSQL pgbench - Scaling Factor: 100 - Clients: 1 - Mode: Read Only (TPS)",HIB,24698,24842,25471 "PostgreSQL pgbench - Scaling Factor: 100 - Clients: 1 - Mode: Read Only - Average Latency (ms)",LIB,0.041,0.040,0.039 "PostgreSQL pgbench - Scaling Factor: 1 - Clients: 100 - Mode: Read Write (TPS)",HIB,2177,2165,2145 "PostgreSQL pgbench - Scaling Factor: 1 - Clients: 100 - Mode: Read Write - Average Latency (ms)",LIB,45.955,46.212,46.671 "PostgreSQL pgbench - Scaling Factor: 100 - Clients: 1 - Mode: Read Write (TPS)",HIB,1857,1704,1716 "PostgreSQL pgbench - Scaling Factor: 100 - Clients: 1 - Mode: Read Write - Average Latency (ms)",LIB,0.538,0.587,0.583 "PostgreSQL pgbench - Scaling Factor: 100 - Clients: 50 - Mode: Read Only (TPS)",HIB,111733,112480,113279 "PostgreSQL pgbench - Scaling Factor: 100 - Clients: 50 - Mode: Read Only - Average Latency (ms)",LIB,0.448,0.445,0.441 "PostgreSQL pgbench - Scaling Factor: 100 - Clients: 100 - Mode: Read Only (TPS)",HIB,107131,106731,106651 "PostgreSQL pgbench - Scaling Factor: 100 - Clients: 100 - Mode: Read Only - Average Latency (ms)",LIB,0.934,0.937,0.938 "PostgreSQL pgbench - Scaling Factor: 100 - Clients: 50 - Mode: Read Write (TPS)",HIB,14208,13047,13047 "PostgreSQL pgbench - Scaling Factor: 100 - Clients: 50 - Mode: Read Write - Average Latency (ms)",LIB,3.520,3.833,3.833 "PostgreSQL pgbench - Scaling Factor: 100 - Clients: 100 - Mode: Read Write (TPS)",HIB,13482,12128,12164 "PostgreSQL pgbench - Scaling Factor: 100 - Clients: 100 - Mode: Read Write - Average Latency (ms)",LIB,7.420,8.248,8.225 "Caffe - Model: AlexNet - Acceleration: CPU - Iterations: 100 (ms)",LIB,59712,60393,60061 "Caffe - Model: AlexNet - Acceleration: CPU - Iterations: 200 (ms)",LIB,119373,120776,120100 "Caffe - Model: GoogleNet - Acceleration: CPU - Iterations: 100 (ms)",LIB,144673,145093,145001 "Caffe - Model: GoogleNet - Acceleration: CPU - Iterations: 200 (ms)",LIB,289313,290372,290054 "GPAW - Input: Carbon Nanotube (sec)",LIB,993.463,992.728,992.942 "Mobile Neural Network - Model: SqueezeNetV1.0 (ms)",LIB,7.989,7.885,7.934 "Mobile Neural Network - Model: resnet-v2-50 (ms)",LIB,43.345,43.008,43.089 "Mobile Neural Network - Model: MobileNetV2_224 (ms)",LIB,4.914,4.895,4.916 "Mobile Neural Network - Model: mobilenet-v1-1.0 (ms)",LIB,6.324,6.319,6.331 "Mobile Neural Network - Model: inception-v3 (ms)",LIB,49.011,48.701,48.830 "NCNN - Target: CPU - Model: squeezenet (ms)",LIB,25.70,25.69,25.73 "NCNN - Target: CPU - Model: mobilenet (ms)",LIB,30.35,30.39,30.36 "NCNN - Target: CPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,8.03,8.06,8.05 "NCNN - Target: CPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,6.86,6.86,6.86 "NCNN - Target: CPU - Model: shufflenet-v2 (ms)",LIB,4.18,4.20,4.17 "NCNN - Target: CPU - Model: mnasnet (ms)",LIB,6.35,6.35,6.35 "NCNN - Target: CPU - Model: efficientnet-b0 (ms)",LIB,10.66,10.66,10.64 "NCNN - Target: CPU - Model: blazeface (ms)",LIB,1.67,1.67,1.67 "NCNN - Target: CPU - Model: googlenet (ms)",LIB,22.04,22.03,22.02 "NCNN - Target: CPU - Model: vgg16 (ms)",LIB,111.73,111.43,111.70 "NCNN - Target: CPU - Model: resnet18 (ms)",LIB,21.76,21.75,21.77 "NCNN - Target: CPU - Model: alexnet (ms)",LIB,24.31,24.30,24.28 "NCNN - Target: CPU - Model: resnet50 (ms)",LIB,45.93,45.89,45.93 "NCNN - Target: CPU - Model: yolov4-tiny (ms)",LIB,42.05,42.07,42.07 "NCNN - Target: Vulkan GPU - Model: squeezenet (ms)",LIB,43.82,43.84,43.79 "NCNN - Target: Vulkan GPU - Model: mobilenet (ms)",LIB,38.26,38.20,38.34 "NCNN - Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,12.43,12.44,12.42 "NCNN - Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,13.74,13.74,13.74 "NCNN - Target: Vulkan GPU - Model: shufflenet-v2 (ms)",LIB,8.71,8.64,8.83 "NCNN - Target: Vulkan GPU - Model: mnasnet (ms)",LIB,12.62,12.62,12.62 "NCNN - Target: Vulkan GPU - Model: efficientnet-b0 (ms)",LIB,25.68,25.67,25.68 "NCNN - Target: Vulkan GPU - Model: blazeface (ms)",LIB,2.82,2.72,2.67 "NCNN - Target: Vulkan GPU - Model: googlenet (ms)",LIB,34.96,34.94,34.94 "NCNN - Target: Vulkan GPU - Model: vgg16 (ms)",LIB,200.89,200.92,199.92 "NCNN - Target: Vulkan GPU - Model: resnet18 (ms)",LIB,30.26,30.27,30.26 "NCNN - Target: Vulkan GPU - Model: alexnet (ms)",LIB,44.47,43.40,43.91 "NCNN - Target: Vulkan GPU - Model: resnet50 (ms)",LIB,74.20,74.18,74.16 "NCNN - Target: Vulkan GPU - Model: yolov4-tiny (ms)",LIB,79.96,80.05,80.00 "TNN - Target: CPU - Model: MobileNet v2 (ms)",LIB,331.024,329.097,331.544 "TNN - Target: CPU - Model: SqueezeNet v1.1 (ms)",LIB,313.083,312.998,312.977 "Hierarchical INTegration - Test: FLOAT (QUIPs)",HIB,421628623.97970,422078542.70616,422214625.00529 "Mlpack Benchmark - Benchmark: scikit_ica (sec)",LIB,80.70,80.11,80.22 "Mlpack Benchmark - Benchmark: scikit_qda (sec)",LIB,121.44,121.73,120.36 "Mlpack Benchmark - Benchmark: scikit_svm (sec)",LIB,25.52,25.53,25.42 "Mlpack Benchmark - Benchmark: scikit_linearridgeregression (sec)",LIB,10.70,10.67,10.73 "Kripke - (Throughput FoM)",HIB,11231933,10449837,10123507 "InfluxDB - Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 (val/sec)",HIB,1134964.5,1131288.1,1128771.5 "InfluxDB - Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 (val/sec)",HIB,1155511.6,1154840.1,1152691.2 "InfluxDB - Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 (val/sec)",HIB,1166424.5,1169460.9,1167644.9