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
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"
"System GZIP Decompression - (sec)",LIB,2.941,2.947,2.949
"Hierarchical INTegration - Test: FLOAT (QUIPs)",HIB,421628623.97970,422078542.70616,422214625.00529
"LibRaw - Post-Processing Benchmark (Mpix/sec)",HIB,31.96,31.82,31.47
"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
"eSpeak-NG Speech Engine - Text-To-Speech Synthesis (sec)",LIB,29.948,31.275,30.254
"GLmark2 - Resolution: 1920 x 1080 (Score)",HIB,452,474,473
"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
"LeelaChessZero - Backend: BLAS (Nodes/s)",HIB,229,229,228
"LeelaChessZero - Backend: Eigen (Nodes/s)",HIB,519,530,513
"Dolfyn - Computational Fluid Dynamics (sec)",LIB,19.255,19.380,19.259
"RNNoise - (sec)",LIB,25.140,25.172,25.226
"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
"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
"MPV - Video Input: Big Buck Bunny Sunflower 4K - Decode: Software Only (FPS)",HIB,82.51,82.38,82.51
"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
"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
"MPV - Video Input: Big Buck Bunny Sunflower 1080p - Decode: Software Only (FPS)",HIB,214.31,215.24,215.32
"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
"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
"GROMACS - Water Benchmark (Ns/Day)",HIB,0.522,0.518,0.519
"LAMMPS Molecular Dynamics Simulator - Model: Rhodopsin Protein (ns/day)",HIB,3.153,3.192,3.172
"NAMD - ATPase Simulation - 327,506 Atoms (days/ns)",LIB,3.43492,3.42653,3.42570
"FFTE - N=256, 3D Complex FFT Routine (MFLOPS)",HIB,16781.813676848,16977.210367245,17027.513818045
"Kripke - (Throughput FoM)",HIB,11231933,10449837,10123507
"Monte Carlo Simulations of Ionised Nebulae - Input: Dust 2D tau100.0 (sec)",LIB,271,271,270
"GPAW - Input: Carbon Nanotube (sec)",LIB,993.463,992.728,992.942
"Timed LLVM Compilation - Time To Compile (sec)",LIB,1378.968,1372.337,1373.732
"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
"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
"RealSR-NCNN - Scale: 4x - TAA: No (sec)",LIB,258.688,258.094,258.510
"VkFFT - (Benchmark Score)",HIB,1113,1109,1082
"Apache CouchDB - Bulk Size: 100 - Inserts: 1000 - Rounds: 24 (sec)",LIB,147.194,145.545,145.441
"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
"KeyDB - (Ops/sec)",HIB,517377.47,510641.79,535529.45
"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
"BYTE Unix Benchmark - Computational Test: Dhrystone 2 (LPS)",HIB,42635852.8,42736377.3,42562814.7