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:
Processor: Intel Core i7-9750H @ 4.50GHz (6 Cores / 12 Threads), Motherboard: Notebook P95_96_97Ex Rx (1.07.13MIN29 BIOS), Chipset: Intel Cannon Lake PCH, Memory: 32GB, Disk: 1000GB Samsung SSD 970 EVO Plus 1TB, Graphics: Intel UHD 630 3GB (1150MHz), Audio: Realtek ALC1220, Network: Realtek RTL8111/8168/8411 + Intel-AC 9560
OS: Ubuntu 20.04, Kernel: 5.7.0-999-generic (x86_64) 20200530, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.4, Vulkan: 1.2.131, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080
Run 2:
Processor: Intel Core i7-9750H @ 4.50GHz (6 Cores / 12 Threads), Motherboard: Notebook P95_96_97Ex Rx (1.07.13MIN29 BIOS), Chipset: Intel Cannon Lake PCH, Memory: 32GB, Disk: 1000GB Samsung SSD 970 EVO Plus 1TB, Graphics: Intel UHD 630 3GB (1150MHz), Audio: Realtek ALC1220, Network: Realtek RTL8111/8168/8411 + Intel-AC 9560
OS: Ubuntu 20.04, Kernel: 5.7.0-999-generic (x86_64) 20200530, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.4, Vulkan: 1.2.131, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080
Run 3:
Processor: Intel Core i7-9750H @ 4.50GHz (6 Cores / 12 Threads), Motherboard: Notebook P95_96_97Ex Rx (1.07.13MIN29 BIOS), Chipset: Intel Cannon Lake PCH, Memory: 32GB, Disk: 1000GB Samsung SSD 970 EVO Plus 1TB, Graphics: Intel UHD 630 3GB (1150MHz), Audio: Realtek ALC1220, Network: Realtek RTL8111/8168/8411 + Intel-AC 9560
OS: Ubuntu 20.04, Kernel: 5.7.0-999-generic (x86_64) 20200530, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.4, Vulkan: 1.2.131, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080
Run 4:
Processor: Intel Core i7-9750H @ 4.50GHz (6 Cores / 12 Threads), Motherboard: Notebook P95_96_97Ex Rx (1.07.13MIN29 BIOS), Chipset: Intel Cannon Lake PCH, Memory: 32GB, Disk: 1000GB Samsung SSD 970 EVO Plus 1TB, Graphics: Intel UHD 630 3GB (1150MHz), Audio: Realtek ALC1220, Network: Realtek RTL8111/8168/8411 + Intel-AC 9560
OS: Ubuntu 20.04, Kernel: 5.7.0-999-generic (x86_64) 20200530, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.4, Vulkan: 1.2.131, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080
VkFFT 1.1.1
Benchmark Score > Higher Is Better
Run 1 . 1321 |=================================================================
Run 2 . 1321 |=================================================================
Run 3 . 1319 |=================================================================
Run 4 . 1322 |=================================================================
VkResample 1.0
Upscale: 2x - Precision: Double
ms < Lower Is Better
Run 1 . 1008.56 |==============================================================
Run 2 . 1001.20 |=============================================================
Run 3 . 1005.07 |=============================================================
Run 4 . 1014.45 |==============================================================
VkResample 1.0
Upscale: 2x - Precision: Single
ms < Lower Is Better
Run 1 . 461.63 |===============================================================
Run 2 . 464.40 |===============================================================
Run 3 . 463.05 |===============================================================
Run 4 . 464.96 |===============================================================
CLOMP 1.2
Static OMP Speedup
Speedup > Higher Is Better
Run 1 . 2.7 |==================================================================
Run 2 . 2.7 |==================================================================
Run 3 . 2.7 |==================================================================
Run 4 . 2.7 |==================================================================
Timed HMMer Search 3.3.1
Pfam Database Search
Seconds < Lower Is Better
Run 1 . 117.23 |===============================================================
Run 2 . 117.14 |===============================================================
Run 3 . 117.18 |===============================================================
Run 4 . 117.40 |===============================================================
Timed MAFFT Alignment 7.471
Multiple Sequence Alignment - LSU RNA
Seconds < Lower Is Better
Run 1 . 10.49 |===============================================================
Run 2 . 10.73 |================================================================
Run 3 . 10.53 |===============================================================
Run 4 . 10.61 |===============================================================
oneDNN 2.0
Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU
ms < Lower Is Better
Run 1 . 6.80166 |=============================================================
Run 2 . 6.92948 |==============================================================
Run 3 . 6.80328 |=============================================================
Run 4 . 6.79428 |=============================================================
oneDNN 2.0
Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU
ms < Lower Is Better
Run 1 . 9.77402 |=============================================================
Run 2 . 9.79701 |=============================================================
Run 3 . 9.79708 |=============================================================
Run 4 . 9.91124 |==============================================================
oneDNN 2.0
Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
Run 1 . 3.22676 |==============================================================
Run 2 . 3.23231 |==============================================================
Run 3 . 3.22945 |==============================================================
Run 4 . 3.22357 |==============================================================
oneDNN 2.0
Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
Run 1 . 2.77079 |==============================================================
Run 2 . 2.76864 |==============================================================
Run 3 . 2.77604 |==============================================================
Run 4 . 2.76446 |==============================================================
oneDNN 2.0
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
ms < Lower Is Better
Run 1 . 17.29 |================================================================
Run 2 . 17.27 |================================================================
Run 3 . 17.23 |================================================================
Run 4 . 17.33 |================================================================
oneDNN 2.0
Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU
ms < Lower Is Better
Run 1 . 9.59491 |=============================================================
Run 2 . 9.73463 |==============================================================
Run 3 . 9.59132 |=============================================================
Run 4 . 9.53953 |=============================================================
oneDNN 2.0
Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU
ms < Lower Is Better
Run 1 . 12.80 |================================================================
Run 2 . 12.79 |================================================================
Run 3 . 12.82 |================================================================
Run 4 . 12.56 |===============================================================
oneDNN 2.0
Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
Run 1 . 16.11 |================================================================
Run 2 . 16.10 |================================================================
Run 3 . 16.10 |================================================================
Run 4 . 16.11 |================================================================
oneDNN 2.0
Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
Run 1 . 10.02868 |============================================================
Run 2 . 9.86713 |===========================================================
Run 3 . 9.89771 |===========================================================
Run 4 . 10.15560 |=============================================================
oneDNN 2.0
Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
Run 1 . 5.75257 |=============================================================
Run 2 . 5.78370 |==============================================================
Run 3 . 5.82049 |==============================================================
Run 4 . 5.78336 |==============================================================
oneDNN 2.0
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
ms < Lower Is Better
Run 1 . 6341.74 |=============================================================
Run 2 . 6404.44 |==============================================================
Run 3 . 6368.25 |==============================================================
Run 4 . 6382.78 |==============================================================
oneDNN 2.0
Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
ms < Lower Is Better
Run 1 . 3427.62 |==============================================================
Run 2 . 3454.22 |==============================================================
Run 3 . 3410.08 |=============================================================
Run 4 . 3445.59 |==============================================================
oneDNN 2.0
Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
Run 1 . 6362.64 |==============================================================
Run 2 . 6382.08 |==============================================================
Run 3 . 6383.52 |==============================================================
Run 4 . 6389.88 |==============================================================
oneDNN 2.0
Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
Run 1 . 3421.60 |==============================================================
Run 2 . 3443.81 |==============================================================
Run 3 . 3424.77 |==============================================================
Run 4 . 3415.63 |=============================================================
oneDNN 2.0
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU
ms < Lower Is Better
Run 1 . 4.10014 |==============================================================
Run 2 . 4.11267 |==============================================================
Run 3 . 4.10713 |==============================================================
Run 4 . 4.08784 |==============================================================
oneDNN 2.0
Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
Run 1 . 6403.93 |==============================================================
Run 2 . 6328.70 |=============================================================
Run 3 . 6369.95 |==============================================================
Run 4 . 6377.37 |==============================================================
oneDNN 2.0
Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
Run 1 . 3457.32 |==============================================================
Run 2 . 3418.99 |=============================================================
Run 3 . 3440.22 |==============================================================
Run 4 . 3444.93 |==============================================================
oneDNN 2.0
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
Run 1 . 5.73586 |=============================================================
Run 2 . 5.77450 |==============================================================
Run 3 . 5.80983 |==============================================================
Run 4 . 5.78522 |==============================================================
Coremark 1.0
CoreMark Size 666 - Iterations Per Second
Iterations/Sec > Higher Is Better
Run 1 . 213456.10 |===========================================================
Run 2 . 211631.58 |===========================================================
Run 3 . 210367.52 |===========================================================
Run 4 . 215746.32 |============================================================
Timed FFmpeg Compilation 4.2.2
Time To Compile
Seconds < Lower Is Better
Run 1 . 101.28 |==============================================================
Run 2 . 101.73 |===============================================================
Run 3 . 102.08 |===============================================================
Run 4 . 102.12 |===============================================================
Build2 0.13
Time To Compile
Seconds < Lower Is Better
Run 1 . 214.41 |===============================================================
Run 2 . 214.84 |===============================================================
Run 3 . 214.18 |===============================================================
Run 4 . 214.86 |===============================================================
Timed Eigen Compilation 3.3.9
Time To Compile
Seconds < Lower Is Better
Run 1 . 74.23 |===============================================================
Run 2 . 75.39 |================================================================
Run 3 . 75.01 |================================================================
Run 4 . 74.26 |===============================================================
Monkey Audio Encoding 3.99.6
WAV To APE
Seconds < Lower Is Better
Run 1 . 11.05 |=============================================================
Run 2 . 11.42 |===============================================================
Run 3 . 10.97 |============================================================
Run 4 . 11.62 |================================================================
Ogg Audio Encoding 1.3.4
WAV To Ogg
Seconds < Lower Is Better
Run 1 . 20.19 |===============================================================
Run 2 . 20.23 |===============================================================
Run 3 . 20.17 |===============================================================
Run 4 . 20.42 |================================================================
Opus Codec Encoding 1.3.1
WAV To Opus Encode
Seconds < Lower Is Better
Run 1 . 8.574 |================================================================
Run 2 . 8.574 |================================================================
Run 3 . 8.563 |================================================================
Run 4 . 8.590 |================================================================
Cryptsetup
PBKDF2-sha512
Iterations Per Second > Higher Is Better
Run 1 . 1828912 |==============================================================
Run 2 . 1778523 |============================================================
Run 3 . 1829986 |==============================================================
Run 4 . 1831049 |==============================================================
Cryptsetup
PBKDF2-whirlpool
Iterations Per Second > Higher Is Better
Run 1 . 780585 |===============================================================
Run 2 . 760573 |=============================================================
Run 3 . 781744 |===============================================================
Run 4 . 764849 |==============================================================
Cryptsetup
AES-XTS 256b Encryption
MiB/s > Higher Is Better
Run 1 . 2359.8 |===============================================================
Run 2 . 2358.8 |===============================================================
Run 3 . 2366.9 |===============================================================
Run 4 . 2357.4 |===============================================================
Cryptsetup
AES-XTS 256b Decryption
MiB/s > Higher Is Better
Run 1 . 2307.6 |===============================================================
Run 2 . 2312.2 |===============================================================
Run 3 . 2314.6 |===============================================================
Run 4 . 2312.5 |===============================================================
Cryptsetup
Serpent-XTS 256b Encryption
MiB/s > Higher Is Better
Run 1 . 811.0 |================================================================
Run 2 . 807.6 |===============================================================
Run 3 . 814.8 |================================================================
Run 4 . 809.6 |================================================================
Cryptsetup
Serpent-XTS 256b Decryption
MiB/s > Higher Is Better
Run 1 . 828.0 |================================================================
Run 2 . 824.4 |================================================================
Run 3 . 830.8 |================================================================
Run 4 . 822.9 |===============================================================
Cryptsetup
Twofish-XTS 256b Encryption
MiB/s > Higher Is Better
Run 1 . 442.5 |================================================================
Run 2 . 430.8 |==============================================================
Run 3 . 445.2 |================================================================
Run 4 . 433.6 |==============================================================
Cryptsetup
Twofish-XTS 256b Decryption
MiB/s > Higher Is Better
Run 1 . 442.0 |===============================================================
Run 2 . 442.3 |===============================================================
Run 3 . 447.3 |================================================================
Run 4 . 438.5 |===============================================================
Cryptsetup
AES-XTS 512b Encryption
MiB/s > Higher Is Better
Run 1 . 2104.7 |===============================================================
Run 2 . 2064.6 |=============================================================
Run 3 . 2076.4 |==============================================================
Run 4 . 2115.1 |===============================================================
Cryptsetup
AES-XTS 512b Decryption
MiB/s > Higher Is Better
Run 1 . 2078.3 |===============================================================
Run 2 . 2074.2 |===============================================================
Run 3 . 2082.9 |===============================================================
Run 4 . 2078.9 |===============================================================
Cryptsetup
Serpent-XTS 512b Encryption
MiB/s > Higher Is Better
Run 1 . 815.1 |================================================================
Run 2 . 812.7 |================================================================
Run 3 . 813.8 |================================================================
Run 4 . 809.3 |================================================================
Cryptsetup
Serpent-XTS 512b Decryption
MiB/s > Higher Is Better
Run 1 . 830.4 |================================================================
Run 2 . 823.5 |===============================================================
Run 3 . 830.9 |================================================================
Run 4 . 824.8 |================================================================
Cryptsetup
Twofish-XTS 512b Encryption
MiB/s > Higher Is Better
Run 1 . 446.1 |================================================================
Run 2 . 426.4 |=============================================================
Run 3 . 446.2 |================================================================
Run 4 . 435.4 |==============================================================
Cryptsetup
Twofish-XTS 512b Decryption
MiB/s > Higher Is Better
Run 1 . 440.5 |===============================================================
Run 2 . 445.5 |================================================================
Run 3 . 448.4 |================================================================
Run 4 . 436.4 |==============================================================
SQLite Speedtest 3.30
Timed Time - Size 1,000
Seconds < Lower Is Better
Run 1 . 62.07 |===============================================================
Run 2 . 62.69 |================================================================
Run 3 . 61.71 |===============================================================
Run 4 . 62.39 |================================================================
NCNN 20201218
Target: CPU - Model: mobilenet
ms < Lower Is Better
Run 1 . 23.17 |================================================================
Run 2 . 23.05 |===============================================================
Run 3 . 23.13 |================================================================
Run 4 . 23.24 |================================================================
NCNN 20201218
Target: CPU-v2-v2 - Model: mobilenet-v2
ms < Lower Is Better
Run 1 . 5.86 |===============================================================
Run 2 . 5.88 |===============================================================
Run 3 . 5.82 |==============================================================
Run 4 . 6.07 |=================================================================
NCNN 20201218
Target: CPU-v3-v3 - Model: mobilenet-v3
ms < Lower Is Better
Run 1 . 4.75 |===============================================================
Run 2 . 4.72 |==============================================================
Run 3 . 4.76 |===============================================================
Run 4 . 4.91 |=================================================================
NCNN 20201218
Target: CPU - Model: shufflenet-v2
ms < Lower Is Better
Run 1 . 7.17 |================================================================
Run 2 . 7.21 |=================================================================
Run 3 . 7.18 |=================================================================
Run 4 . 7.23 |=================================================================
NCNN 20201218
Target: CPU - Model: mnasnet
ms < Lower Is Better
Run 1 . 5.27 |=================================================================
Run 2 . 5.24 |================================================================
Run 3 . 5.29 |=================================================================
Run 4 . 5.21 |================================================================
NCNN 20201218
Target: CPU - Model: efficientnet-b0
ms < Lower Is Better
Run 1 . 8.35 |=================================================================
Run 2 . 8.33 |=================================================================
Run 3 . 8.38 |=================================================================
Run 4 . 8.31 |================================================================
NCNN 20201218
Target: CPU - Model: blazeface
ms < Lower Is Better
Run 1 . 2.26 |================================================================
Run 2 . 2.27 |================================================================
Run 3 . 2.26 |================================================================
Run 4 . 2.29 |=================================================================
NCNN 20201218
Target: CPU - Model: googlenet
ms < Lower Is Better
Run 1 . 18.07 |================================================================
Run 2 . 18.02 |================================================================
Run 3 . 18.13 |================================================================
Run 4 . 18.01 |================================================================
NCNN 20201218
Target: CPU - Model: vgg16
ms < Lower Is Better
Run 1 . 69.52 |================================================================
Run 2 . 69.19 |================================================================
Run 3 . 69.48 |================================================================
Run 4 . 69.34 |================================================================
NCNN 20201218
Target: CPU - Model: resnet18
ms < Lower Is Better
Run 1 . 18.02 |================================================================
Run 2 . 17.91 |================================================================
Run 3 . 18.05 |================================================================
Run 4 . 17.99 |================================================================
NCNN 20201218
Target: CPU - Model: alexnet
ms < Lower Is Better
Run 1 . 15.01 |================================================================
Run 2 . 14.99 |================================================================
Run 3 . 15.00 |================================================================
Run 4 . 15.03 |================================================================
NCNN 20201218
Target: CPU - Model: resnet50
ms < Lower Is Better
Run 1 . 37.46 |================================================================
Run 2 . 37.43 |================================================================
Run 3 . 37.54 |================================================================
Run 4 . 37.48 |================================================================
NCNN 20201218
Target: CPU - Model: yolov4-tiny
ms < Lower Is Better
Run 1 . 33.37 |================================================================
Run 2 . 33.19 |================================================================
Run 3 . 33.21 |================================================================
Run 4 . 33.42 |================================================================
NCNN 20201218
Target: CPU - Model: squeezenet_ssd
ms < Lower Is Better
Run 1 . 24.22 |================================================================
Run 2 . 24.16 |================================================================
Run 3 . 24.24 |================================================================
Run 4 . 24.23 |================================================================
NCNN 20201218
Target: CPU - Model: regnety_400m
ms < Lower Is Better
Run 1 . 16.18 |================================================================
Run 2 . 16.12 |================================================================
Run 3 . 16.19 |================================================================
Run 4 . 16.16 |================================================================
NCNN 20201218
Target: Vulkan GPU - Model: mobilenet
ms < Lower Is Better
Run 1 . 23.43 |===============================================================
Run 2 . 23.66 |================================================================
Run 3 . 23.39 |===============================================================
Run 4 . 23.34 |===============================================================
NCNN 20201218
Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2
ms < Lower Is Better
Run 1 . 6.55 |=================================================================
Run 2 . 6.10 |============================================================
Run 3 . 6.30 |==============================================================
Run 4 . 6.56 |=================================================================
NCNN 20201218
Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3
ms < Lower Is Better
Run 1 . 5.36 |=================================================================
Run 2 . 4.98 |============================================================
Run 3 . 5.12 |==============================================================
Run 4 . 5.37 |=================================================================
NCNN 20201218
Target: Vulkan GPU - Model: shufflenet-v2
ms < Lower Is Better
Run 1 . 7.83 |=================================================================
Run 2 . 7.39 |=============================================================
Run 3 . 7.41 |==============================================================
Run 4 . 7.83 |=================================================================
NCNN 20201218
Target: Vulkan GPU - Model: mnasnet
ms < Lower Is Better
Run 1 . 5.51 |=================================================================
Run 2 . 5.24 |==============================================================
Run 3 . 5.36 |===============================================================
Run 4 . 5.49 |=================================================================
NCNN 20201218
Target: Vulkan GPU - Model: efficientnet-b0
ms < Lower Is Better
Run 1 . 8.69 |=================================================================
Run 2 . 8.39 |===============================================================
Run 3 . 8.65 |================================================================
Run 4 . 8.72 |=================================================================
NCNN 20201218
Target: Vulkan GPU - Model: blazeface
ms < Lower Is Better
Run 1 . 2.40 |=================================================================
Run 2 . 2.30 |==============================================================
Run 3 . 2.38 |================================================================
Run 4 . 2.41 |=================================================================
NCNN 20201218
Target: Vulkan GPU - Model: googlenet
ms < Lower Is Better
Run 1 . 18.80 |================================================================
Run 2 . 18.15 |==============================================================
Run 3 . 18.82 |================================================================
Run 4 . 18.86 |================================================================
NCNN 20201218
Target: Vulkan GPU - Model: vgg16
ms < Lower Is Better
Run 1 . 69.78 |================================================================
Run 2 . 69.43 |===============================================================
Run 3 . 69.86 |================================================================
Run 4 . 70.02 |================================================================
NCNN 20201218
Target: Vulkan GPU - Model: resnet18
ms < Lower Is Better
Run 1 . 18.55 |================================================================
Run 2 . 18.14 |===============================================================
Run 3 . 18.51 |================================================================
Run 4 . 18.54 |================================================================
NCNN 20201218
Target: Vulkan GPU - Model: alexnet
ms < Lower Is Better
Run 1 . 15.42 |================================================================
Run 2 . 15.15 |===============================================================
Run 3 . 15.45 |================================================================
Run 4 . 15.48 |================================================================
NCNN 20201218
Target: Vulkan GPU - Model: resnet50
ms < Lower Is Better
Run 1 . 37.71 |================================================================
Run 2 . 37.98 |================================================================
Run 3 . 37.66 |===============================================================
Run 4 . 37.73 |================================================================
NCNN 20201218
Target: Vulkan GPU - Model: yolov4-tiny
ms < Lower Is Better
Run 1 . 33.51 |===============================================================
Run 2 . 33.86 |================================================================
Run 3 . 33.47 |===============================================================
Run 4 . 33.45 |===============================================================
NCNN 20201218
Target: Vulkan GPU - Model: squeezenet_ssd
ms < Lower Is Better
Run 1 . 24.42 |===============================================================
Run 2 . 24.79 |================================================================
Run 3 . 24.33 |===============================================================
Run 4 . 24.38 |===============================================================
NCNN 20201218
Target: Vulkan GPU - Model: regnety_400m
ms < Lower Is Better
Run 1 . 16.71 |================================================================
Run 2 . 16.28 |==============================================================
Run 3 . 16.61 |===============================================================
Run 4 . 16.76 |================================================================
PHPBench 0.8.1
PHP Benchmark Suite
Score > Higher Is Better
Run 1 . 703856 |===========================================================
Run 2 . 724360 |=============================================================
Run 3 . 722538 |=============================================================
Run 4 . 745275 |===============================================================
WavPack Audio Encoding 5.3
WAV To WavPack
Seconds < Lower Is Better
Run 1 . 14.51 |================================================================
Run 2 . 14.50 |================================================================
Run 3 . 14.53 |================================================================
Run 4 . 14.51 |================================================================
Unpacking Firefox 84.0
Extracting: firefox-84.0.source.tar.xz
Seconds < Lower Is Better
Run 1 . 18.88 |================================================================
Run 2 . 18.87 |================================================================
Run 3 . 18.93 |================================================================
Run 4 . 18.86 |================================================================
BRL-CAD 7.30.8
VGR Performance Metric
VGR Performance Metric > Higher Is Better
Run 1 . 59947 |================================================================
Run 2 . 60253 |================================================================
Run 3 . 59569 |===============================================================
Run 4 . 59541 |===============================================================