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