Intel Core i5-10600K testing with a ASUS PRIME Z490M-PLUS (1001 BIOS) and ASUS 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 2103183-IB-10600KPRE35
10600K pre RKL
Intel Core i5-10600K testing with a ASUS PRIME Z490M-PLUS (1001 BIOS) and ASUS Intel UHD 630 3GB on Ubuntu 20.04 via the Phoronix Test Suite.
,,"1","2","3"
Processor,,Intel Core i5-10600K @ 4.80GHz (6 Cores / 12 Threads),Intel Core i5-10600K @ 4.80GHz (6 Cores / 12 Threads),Intel Core i5-10600K @ 4.80GHz (6 Cores / 12 Threads)
Motherboard,,ASUS PRIME Z490M-PLUS (1001 BIOS),ASUS PRIME Z490M-PLUS (1001 BIOS),ASUS PRIME Z490M-PLUS (1001 BIOS)
Chipset,,Intel Comet Lake PCH,Intel Comet Lake PCH,Intel Comet Lake PCH
Memory,,32GB,32GB,32GB
Disk,,Samsung SSD 970 EVO 500GB,Samsung SSD 970 EVO 500GB,Samsung SSD 970 EVO 500GB
Graphics,,ASUS Intel UHD 630 3GB (1200MHz),ASUS Intel UHD 630 3GB (1200MHz),ASUS Intel UHD 630 3GB (1200MHz)
Audio,,Realtek ALC887-VD,Realtek ALC887-VD,Realtek ALC887-VD
Monitor,,LG Ultra HD,LG Ultra HD,LG Ultra HD
Network,,Intel,Intel,Intel
OS,,Ubuntu 20.04,Ubuntu 20.04,Ubuntu 20.04
Kernel,,5.9.0-050900daily20201012-generic (x86_64),5.9.0-050900daily20201012-generic (x86_64),5.9.0-050900daily20201012-generic (x86_64)
Desktop,,GNOME Shell 3.36.4,GNOME Shell 3.36.4,GNOME Shell 3.36.4
Display Server,,X Server 1.20.9,X Server 1.20.9,X Server 1.20.9
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,,3840x2160,3840x2160,3840x2160
,,"1","2","3"
"Basis Universal - Settings: ETC1S (sec)",LIB,25.519,25.514,25.365
"Basis Universal - Settings: UASTC Level 0 (sec)",LIB,7.600,7.601,7.603
"Basis Universal - Settings: UASTC Level 2 (sec)",LIB,41.225,41.210,41.221
"Basis Universal - Settings: UASTC Level 3 (sec)",LIB,79.667,79.679,79.662
"ASTC Encoder - Preset: Medium (sec)",LIB,6.0128,6.0240,6.0152
"ASTC Encoder - Preset: Thorough (sec)",LIB,18.3302,18.3402,18.2889
"ASTC Encoder - Preset: Exhaustive (sec)",LIB,144.6340,144.5918,143.5319
"Mobile Neural Network - Model: SqueezeNetV1.0 (ms)",LIB,4.514,4.508,4.452
"Mobile Neural Network - Model: resnet-v2-50 (ms)",LIB,28.545,28.576,28.471
"Mobile Neural Network - Model: MobileNetV2_224 (ms)",LIB,2.546,2.549,2.559
"Mobile Neural Network - Model: mobilenet-v1-1.0 (ms)",LIB,3.260,3.240,3.231
"Mobile Neural Network - Model: inception-v3 (ms)",LIB,33.770,33.980,33.928
"oneDNN - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU (ms)",LIB,4.32120,4.31466,4.28025
"oneDNN - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU (ms)",LIB,7.66238,7.73529,7.47684
"oneDNN - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,2.04154,2.03699,2.01397
"oneDNN - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,2.39200,2.38521,2.39279
"oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,15.1117,15.1207,15.0783
"oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU (ms)",LIB,10.04714,10.0807,9.98148
"oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU (ms)",LIB,8.51089,8.51927,8.52282
"oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,13.7279,13.8142,13.8421
"oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,2.66876,2.65983,2.65906
"oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,5.36600,5.31671,5.36398
"oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,3990.01,3998.99,3986.56
"oneDNN - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU (ms)",LIB,2379.62,2403.36,2374.75
"oneDNN - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,3992.29,3996.07,3987.23
"oneDNN - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,2381.10,2394.46,2372.73
"oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU (ms)",LIB,3.38413,3.37849,3.39558
"oneDNN - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,4002.18,3995.94,3987.15
"oneDNN - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,2382.71,2397.83,2372.19
"oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,3.46010,3.47494,3.46459
"Xcompact3d Incompact3d - Input: input.i3d 129 Cells Per Direction (sec)",LIB,37.2945633,38.2099012,37.7690824
"Xcompact3d Incompact3d - Input: input.i3d 193 Cells Per Direction (sec)",LIB,131.975932,131.818481,132.997213
"Sysbench - Test: RAM / Memory (MiB/sec)",HIB,26132.76,25903.89,26135.31
"Sysbench - Test: CPU (Events/sec)",HIB,14374.26,14373.47,14375.35
"AOM AV1 - Encoder Mode: Speed 0 Two-Pass (FPS)",HIB,0.23,0.23,0.23
"AOM AV1 - Encoder Mode: Speed 4 Two-Pass (FPS)",HIB,5.96,5.97,5.97
"AOM AV1 - Encoder Mode: Speed 6 Realtime (FPS)",HIB,20.83,20.67,20.75
"AOM AV1 - Encoder Mode: Speed 6 Two-Pass (FPS)",HIB,17.05,17.09,17.06
"AOM AV1 - Encoder Mode: Speed 8 Realtime (FPS)",HIB,96.50,96.22,96.59
"SVT-VP9 - Tuning: VMAF Optimized - Input: Bosphorus 1080p (FPS)",HIB,149.76,149.49,149.77
"SVT-VP9 - Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p (FPS)",HIB,152.32,151.96,152.34
"SVT-VP9 - Tuning: Visual Quality Optimized - Input: Bosphorus 1080p (FPS)",HIB,119.95,120.03,120.00
"SVT-HEVC - Tuning: 1 - Input: Bosphorus 1080p (FPS)",HIB,5.43,5.44,5.44
"SVT-HEVC - Tuning: 7 - Input: Bosphorus 1080p (FPS)",HIB,86.08,86.61,86.69
"SVT-HEVC - Tuning: 10 - Input: Bosphorus 1080p (FPS)",HIB,185.05,185.25,184.69
"Timed Mesa Compilation - Time To Compile (sec)",LIB,69.654,69.689,69.808
"Timed Node.js Compilation - Time To Compile (sec)",LIB,596.491,596.970,597.216
"simdjson - Throughput Test: Kostya (GB/s)",HIB,3.06,3.05,3.05
"simdjson - Throughput Test: LargeRandom (GB/s)",HIB,1.1,1.1,1.1
"simdjson - Throughput Test: PartialTweets (GB/s)",HIB,4.30,4.29,4.29
"simdjson - Throughput Test: DistinctUserID (GB/s)",HIB,4.92,4.92,4.92