Intel Core i7-9750H testing with a Notebook P95_96_97Ex Rx (1.07.13MIN29 BIOS) and 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 2101014-HA-COREI797566
Core i7 9750H EOY
Intel Core i7-9750H testing with a Notebook P95_96_97Ex Rx (1.07.13MIN29 BIOS) and Intel UHD 630 3GB on Ubuntu 20.04 via the Phoronix Test Suite.
,,"Run 1","Run 2","Run 3","Run 4"
Processor,,Intel Core i7-9750H @ 4.50GHz (6 Cores / 12 Threads),Intel Core i7-9750H @ 4.50GHz (6 Cores / 12 Threads),Intel Core i7-9750H @ 4.50GHz (6 Cores / 12 Threads),Intel Core i7-9750H @ 4.50GHz (6 Cores / 12 Threads)
Motherboard,,Notebook P95_96_97Ex Rx (1.07.13MIN29 BIOS),Notebook P95_96_97Ex Rx (1.07.13MIN29 BIOS),Notebook P95_96_97Ex Rx (1.07.13MIN29 BIOS),Notebook P95_96_97Ex Rx (1.07.13MIN29 BIOS)
Chipset,,Intel Cannon Lake PCH,Intel Cannon Lake PCH,Intel Cannon Lake PCH,Intel Cannon Lake PCH
Memory,,32GB,32GB,32GB,32GB
Disk,,1000GB Samsung SSD 970 EVO Plus 1TB,1000GB Samsung SSD 970 EVO Plus 1TB,1000GB Samsung SSD 970 EVO Plus 1TB,1000GB Samsung SSD 970 EVO Plus 1TB
Graphics,,Intel UHD 630 3GB (1150MHz),Intel UHD 630 3GB (1150MHz),Intel UHD 630 3GB (1150MHz),Intel UHD 630 3GB (1150MHz)
Audio,,Realtek ALC1220,Realtek ALC1220,Realtek ALC1220,Realtek ALC1220
Network,,Realtek RTL8111/8168/8411 + Intel-AC 9560,Realtek RTL8111/8168/8411 + Intel-AC 9560,Realtek RTL8111/8168/8411 + Intel-AC 9560,Realtek RTL8111/8168/8411 + Intel-AC 9560
OS,,Ubuntu 20.04,Ubuntu 20.04,Ubuntu 20.04,Ubuntu 20.04
Kernel,,5.7.0-999-generic (x86_64) 20200530,5.7.0-999-generic (x86_64) 20200530,5.7.0-999-generic (x86_64) 20200530,5.7.0-999-generic (x86_64) 20200530
Desktop,,GNOME Shell 3.36.4,GNOME Shell 3.36.4,GNOME Shell 3.36.4,GNOME Shell 3.36.4
Display Server,,X Server 1.20.8,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,modesetting 1.20.8
OpenGL,,4.6 Mesa 20.0.4,4.6 Mesa 20.0.4,4.6 Mesa 20.0.4,4.6 Mesa 20.0.4
Vulkan,,1.2.131,1.2.131,1.2.131,1.2.131
Compiler,,GCC 9.3.0,GCC 9.3.0,GCC 9.3.0,GCC 9.3.0
File-System,,ext4,ext4,ext4,ext4
Screen Resolution,,1920x1080,1920x1080,1920x1080,1920x1080
,,"Run 1","Run 2","Run 3","Run 4"
"CLOMP - Static OMP Speedup (Speedup)",HIB,2.7,2.7,2.7,2.7
"Cryptsetup - PBKDF2-sha512 (Iterations/sec)",HIB,1828912,1778523,1829986,1831049
"Cryptsetup - PBKDF2-whirlpool (Iterations/sec)",HIB,780585,760573,781744,764849
"Cryptsetup - AES-XTS 256b Encryption (MiB/s)",HIB,2359.8,2358.8,2366.9,2357.4
"Cryptsetup - AES-XTS 256b Decryption (MiB/s)",HIB,2307.6,2312.2,2314.6,2312.5
"Cryptsetup - Serpent-XTS 256b Encryption (MiB/s)",HIB,811.0,807.6,814.8,809.6
"Cryptsetup - Serpent-XTS 256b Decryption (MiB/s)",HIB,828.0,824.4,830.8,822.9
"Cryptsetup - Twofish-XTS 256b Encryption (MiB/s)",HIB,442.5,430.8,445.2,433.6
"Cryptsetup - Twofish-XTS 256b Decryption (MiB/s)",HIB,442,442.3,447.3,438.5
"Cryptsetup - AES-XTS 512b Encryption (MiB/s)",HIB,2104.7,2064.6,2076.4,2115.1
"Cryptsetup - AES-XTS 512b Decryption (MiB/s)",HIB,2078.3,2074.2,2082.9,2078.9
"Cryptsetup - Serpent-XTS 512b Encryption (MiB/s)",HIB,815.1,812.7,813.8,809.3
"Cryptsetup - Serpent-XTS 512b Decryption (MiB/s)",HIB,830.4,823.5,830.9,824.8
"Cryptsetup - Twofish-XTS 512b Encryption (MiB/s)",HIB,446.1,426.4,446.2,435.4
"Cryptsetup - Twofish-XTS 512b Decryption (MiB/s)",HIB,440.5,445.5,448.4,436.4
"BRL-CAD - VGR Performance Metric (VGR Performance Metric)",HIB,59947,60253,59569,59541
"Monkey Audio Encoding - WAV To APE (sec)",LIB,11.051,11.422,10.969,11.624
"Opus Codec Encoding - WAV To Opus Encode (sec)",LIB,8.574,8.574,8.563,8.590
"WavPack Audio Encoding - WAV To WavPack (sec)",LIB,14.508,14.502,14.528,14.510
"Ogg Audio Encoding - WAV To Ogg (sec)",LIB,20.192,20.234,20.167,20.424
"Timed HMMer Search - Pfam Database Search (sec)",LIB,117.231,117.143,117.181,117.404
"Timed MAFFT Alignment - Multiple Sequence Alignment - LSU RNA (sec)",LIB,10.489,10.729,10.529,10.607
"NCNN - Target: CPU - Model: mobilenet (ms)",LIB,23.17,23.05,23.13,23.24
"NCNN - Target: CPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,5.86,5.88,5.82,6.07
"NCNN - Target: CPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,4.75,4.72,4.76,4.91
"NCNN - Target: CPU - Model: shufflenet-v2 (ms)",LIB,7.17,7.21,7.18,7.23
"NCNN - Target: CPU - Model: mnasnet (ms)",LIB,5.27,5.24,5.29,5.21
"NCNN - Target: CPU - Model: efficientnet-b0 (ms)",LIB,8.35,8.33,8.38,8.31
"NCNN - Target: CPU - Model: blazeface (ms)",LIB,2.26,2.27,2.26,2.29
"NCNN - Target: CPU - Model: googlenet (ms)",LIB,18.07,18.02,18.13,18.01
"NCNN - Target: CPU - Model: vgg16 (ms)",LIB,69.52,69.19,69.48,69.34
"NCNN - Target: CPU - Model: resnet18 (ms)",LIB,18.02,17.91,18.05,17.99
"NCNN - Target: CPU - Model: alexnet (ms)",LIB,15.01,14.99,15.00,15.03
"NCNN - Target: CPU - Model: resnet50 (ms)",LIB,37.46,37.43,37.54,37.48
"NCNN - Target: CPU - Model: yolov4-tiny (ms)",LIB,33.37,33.19,33.21,33.42
"NCNN - Target: CPU - Model: squeezenet_ssd (ms)",LIB,24.22,24.16,24.24,24.23
"NCNN - Target: CPU - Model: regnety_400m (ms)",LIB,16.18,16.12,16.19,16.16
"NCNN - Target: Vulkan GPU - Model: mobilenet (ms)",LIB,23.43,23.66,23.39,23.34
"NCNN - Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,6.55,6.10,6.30,6.56
"NCNN - Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,5.36,4.98,5.12,5.37
"NCNN - Target: Vulkan GPU - Model: shufflenet-v2 (ms)",LIB,7.83,7.39,7.41,7.83
"NCNN - Target: Vulkan GPU - Model: mnasnet (ms)",LIB,5.51,5.24,5.36,5.49
"NCNN - Target: Vulkan GPU - Model: efficientnet-b0 (ms)",LIB,8.69,8.39,8.65,8.72
"NCNN - Target: Vulkan GPU - Model: blazeface (ms)",LIB,2.40,2.30,2.38,2.41
"NCNN - Target: Vulkan GPU - Model: googlenet (ms)",LIB,18.80,18.15,18.82,18.86
"NCNN - Target: Vulkan GPU - Model: vgg16 (ms)",LIB,69.78,69.43,69.86,70.02
"NCNN - Target: Vulkan GPU - Model: resnet18 (ms)",LIB,18.55,18.14,18.51,18.54
"NCNN - Target: Vulkan GPU - Model: alexnet (ms)",LIB,15.42,15.15,15.45,15.48
"NCNN - Target: Vulkan GPU - Model: resnet50 (ms)",LIB,37.71,37.98,37.66,37.73
"NCNN - Target: Vulkan GPU - Model: yolov4-tiny (ms)",LIB,33.51,33.86,33.47,33.45
"NCNN - Target: Vulkan GPU - Model: squeezenet_ssd (ms)",LIB,24.42,24.79,24.33,24.38
"NCNN - Target: Vulkan GPU - Model: regnety_400m (ms)",LIB,16.71,16.28,16.61,16.76
"oneDNN - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU (ms)",LIB,6.80166,6.92948,6.80328,6.79428
"oneDNN - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU (ms)",LIB,9.77402,9.79701,9.79708,9.91124
"oneDNN - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,3.22676,3.23231,3.22945,3.22357
"oneDNN - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,2.77079,2.76864,2.77604,2.76446
"oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,17.2857,17.2712,17.2349,17.3333
"oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU (ms)",LIB,9.59491,9.73463,9.59132,9.53953
"oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU (ms)",LIB,12.8019,12.7881,12.8216,12.5608
"oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,16.1070,16.0979,16.0995,16.1090
"oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,10.02868,9.86713,9.89771,10.1556
"oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,5.75257,5.78370,5.82049,5.78336
"oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,6341.74,6404.44,6368.25,6382.78
"oneDNN - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU (ms)",LIB,3427.62,3454.22,3410.08,3445.59
"oneDNN - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,6362.64,6382.08,6383.52,6389.88
"oneDNN - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,3421.60,3443.81,3424.77,3415.63
"oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU (ms)",LIB,4.10014,4.11267,4.10713,4.08784
"oneDNN - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,6403.93,6328.70,6369.95,6377.37
"oneDNN - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,3457.32,3418.99,3440.22,3444.93
"oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,5.73586,5.77450,5.80983,5.78522
"Coremark - CoreMark Size 666 - Iterations Per Second (Iterations/Sec)",HIB,213456.102293,211631.576645,210367.524032,215746.320485
"Unpacking Firefox - Extracting: firefox-84.0.source.tar.xz (sec)",LIB,18.882,18.873,18.932,18.855
"Timed FFmpeg Compilation - Time To Compile (sec)",LIB,101.283,101.729,102.076,102.124
"Build2 - Time To Compile (sec)",LIB,214.409,214.836,214.178,214.858
"Timed Eigen Compilation - Time To Compile (sec)",LIB,74.230,75.391,75.006,74.262
"VkFFT - (Benchmark Score)",HIB,1321,1321,1319,1322
"VkResample - Upscale: 2x - Precision: Double (ms)",LIB,1008.564,1001.202,1005.070,1014.454
"VkResample - Upscale: 2x - Precision: Single (ms)",LIB,461.629,464.404,463.050,464.961
"PHPBench - PHP Benchmark Suite (Score)",HIB,703856,724360,722538,745275
"SQLite Speedtest - Timed Time - Size 1,000 (sec)",LIB,62.071,62.691,61.705,62.392