Intel Core i7-8565U testing with a Dell 0KTW76 (1.0.0 BIOS) and Intel UHD 620 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 2009295-PTS-8565UMON93
8565U Monday
Intel Core i7-8565U testing with a Dell 0KTW76 (1.0.0 BIOS) and Intel UHD 620 3GB on Ubuntu 20.04 via the Phoronix Test Suite.
1:
Processor: Intel Core i7-8565U @ 4.60GHz (4 Cores / 8 Threads), Motherboard: Dell 0KTW76 (1.0.0 BIOS), Chipset: Intel Cannon Point-LP, Memory: 16GB, Disk: PC401 NVMe SK hynix 256GB, Graphics: Intel UHD 620 3GB (1150MHz), Audio: Realtek ALC3271, Network: Qualcomm Atheros QCA6174 802.11ac
OS: Ubuntu 20.04, Kernel: 5.4.0-48-generic (x86_64), 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, OpenCL: OpenCL 2.1, Vulkan: 1.2.131, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080
2:
Processor: Intel Core i7-8565U @ 4.60GHz (4 Cores / 8 Threads), Motherboard: Dell 0KTW76 (1.0.0 BIOS), Chipset: Intel Cannon Point-LP, Memory: 16GB, Disk: PC401 NVMe SK hynix 256GB, Graphics: Intel UHD 620 3GB (1150MHz), Audio: Realtek ALC3271, Network: Qualcomm Atheros QCA6174 802.11ac
OS: Ubuntu 20.04, Kernel: 5.4.0-48-generic (x86_64), 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, OpenCL: OpenCL 2.1, Vulkan: 1.2.131, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080
3:
Processor: Intel Core i7-8565U @ 4.60GHz (4 Cores / 8 Threads), Motherboard: Dell 0KTW76 (1.0.0 BIOS), Chipset: Intel Cannon Point-LP, Memory: 16GB, Disk: PC401 NVMe SK hynix 256GB, Graphics: Intel UHD 620 3GB (1150MHz), Audio: Realtek ALC3271, Network: Qualcomm Atheros QCA6174 802.11ac
OS: Ubuntu 20.04, Kernel: 5.4.0-48-generic (x86_64), 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, OpenCL: OpenCL 2.1, Vulkan: 1.2.131, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080
LeelaChessZero 0.26
Backend: Eigen
Nodes Per Second > Higher Is Better
1 . 393 |======================================================================
2 . 359 |================================================================
3 . 358 |================================================================
LeelaChessZero 0.26
Backend: BLAS
Nodes Per Second > Higher Is Better
1 . 402 |======================================================================
2 . 375 |=================================================================
3 . 376 |=================================================================
Apache CouchDB 3.1.1
Bulk Size: 100 - Inserts: 1000 - Rounds: 24
Seconds < Lower Is Better
1 . 219.60 |===============================================================
2 . 232.58 |==================================================================
3 . 235.27 |===================================================================
Timed MAFFT Alignment 7.471
Multiple Sequence Alignment - LSU RNA
Seconds < Lower Is Better
1 . 14.23 |================================================================
2 . 15.01 |====================================================================
3 . 14.90 |====================================================================
Timed HMMer Search 3.3.1
Pfam Database Search
Seconds < Lower Is Better
1 . 115.83 |================================================================
2 . 119.82 |==================================================================
3 . 121.43 |===================================================================
LeelaChessZero 0.26
Backend: Random
Nodes Per Second > Higher Is Better
1 . 162558 |===================================================================
2 . 155574 |================================================================
3 . 155116 |================================================================
Dolfyn 0.527
Computational Fluid Dynamics
Seconds < Lower Is Better
1 . 19.86 |=================================================================
2 . 20.44 |===================================================================
3 . 20.76 |====================================================================
Mlpack Benchmark
Benchmark: scikit_linearridgeregression
Seconds < Lower Is Better
1 . 4.91 |==================================================================
2 . 5.12 |=====================================================================
3 . 5.11 |=====================================================================
Mlpack Benchmark
Benchmark: scikit_ica
Seconds < Lower Is Better
1 . 105.60 |===================================================================
2 . 102.04 |=================================================================
3 . 102.85 |=================================================================
NCNN 20200916
Target: CPU - Model: alexnet
ms < Lower Is Better
1 . 32.37 |====================================================================
2 . 32.56 |====================================================================
3 . 31.70 |==================================================================
Mlpack Benchmark
Benchmark: scikit_qda
Seconds < Lower Is Better
1 . 128.63 |==================================================================
2 . 130.89 |===================================================================
3 . 129.82 |==================================================================
NCNN 20200916
Target: CPU - Model: blazeface
ms < Lower Is Better
1 . 3.01 |=====================================================================
2 . 3.02 |=====================================================================
3 . 2.97 |====================================================================
NCNN 20200916
Target: Vulkan GPU - Model: efficientnet-b0
ms < Lower Is Better
1 . 79.43 |===================================================================
2 . 80.51 |====================================================================
3 . 80.43 |====================================================================
NCNN 20200916
Target: Vulkan GPU - Model: shufflenet-v2
ms < Lower Is Better
1 . 27.27 |====================================================================
2 . 27.22 |====================================================================
3 . 26.95 |===================================================================
NCNN 20200916
Target: Vulkan GPU - Model: alexnet
ms < Lower Is Better
1 . 111.97 |===================================================================
2 . 110.69 |==================================================================
3 . 111.37 |===================================================================
GROMACS 2020.3
Water Benchmark
Ns Per Day > Higher Is Better
1 . 0.350 |====================================================================
2 . 0.349 |====================================================================
3 . 0.346 |===================================================================
TNN 0.2.3
Target: CPU - Model: MobileNet v2
ms < Lower Is Better
1 . 354.31 |==================================================================
2 . 354.24 |==================================================================
3 . 358.29 |===================================================================
NCNN 20200916
Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2
ms < Lower Is Better
1 . 39.98 |====================================================================
2 . 39.69 |====================================================================
3 . 39.53 |===================================================================
RealSR-NCNN 20200818
Scale: 4x - TAA: No
Seconds < Lower Is Better
1 . 16.83 |===================================================================
2 . 16.86 |===================================================================
3 . 17.01 |====================================================================
NCNN 20200916
Target: CPU - Model: efficientnet-b0
ms < Lower Is Better
1 . 14.42 |====================================================================
2 . 14.48 |====================================================================
3 . 14.34 |===================================================================
NCNN 20200916
Target: CPU - Model: shufflenet-v2
ms < Lower Is Better
1 . 6.44 |====================================================================
2 . 6.45 |====================================================================
3 . 6.50 |=====================================================================
Mlpack Benchmark
Benchmark: scikit_svm
Seconds < Lower Is Better
1 . 27.01 |====================================================================
2 . 26.85 |====================================================================
3 . 26.77 |===================================================================
NCNN 20200916
Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3
ms < Lower Is Better
1 . 44.16 |====================================================================
2 . 43.77 |===================================================================
3 . 44.12 |====================================================================
NCNN 20200916
Target: CPU - Model: resnet18
ms < Lower Is Better
1 . 29.91 |====================================================================
2 . 30.13 |====================================================================
3 . 29.92 |====================================================================
NCNN 20200916
Target: Vulkan GPU - Model: vgg16
ms < Lower Is Better
1 . 264.91 |===================================================================
2 . 266.39 |===================================================================
3 . 264.49 |===================================================================
Caffe 2020-02-13
Model: GoogleNet - Acceleration: CPU - Iterations: 200
Milli-Seconds < Lower Is Better
1 . 516263 |===================================================================
2 . 517125 |===================================================================
3 . 519953 |===================================================================
Caffe 2020-02-13
Model: AlexNet - Acceleration: CPU - Iterations: 100
Milli-Seconds < Lower Is Better
1 . 104649 |===================================================================
2 . 104160 |===================================================================
3 . 104862 |===================================================================
Caffe 2020-02-13
Model: GoogleNet - Acceleration: CPU - Iterations: 100
Milli-Seconds < Lower Is Better
1 . 258236 |===================================================================
2 . 259823 |===================================================================
3 . 258993 |===================================================================
Caffe 2020-02-13
Model: AlexNet - Acceleration: CPU - Iterations: 200
Milli-Seconds < Lower Is Better
1 . 209370 |===================================================================
2 . 210394 |===================================================================
3 . 210101 |===================================================================
NCNN 20200916
Target: Vulkan GPU - Model: squeezenet
ms < Lower Is Better
1 . 113.17 |===================================================================
2 . 113.23 |===================================================================
3 . 112.73 |===================================================================
NCNN 20200916
Target: CPU - Model: vgg16
ms < Lower Is Better
1 . 112.25 |===================================================================
2 . 112.74 |===================================================================
3 . 112.26 |===================================================================
NCNN 20200916
Target: Vulkan GPU - Model: yolov4-tiny
ms < Lower Is Better
1 . 152.72 |===================================================================
2 . 152.19 |===================================================================
3 . 152.35 |===================================================================
NCNN 20200916
Target: CPU-v3-v3 - Model: mobilenet-v3
ms < Lower Is Better
1 . 8.75 |=====================================================================
2 . 8.74 |=====================================================================
3 . 8.72 |=====================================================================
NCNN 20200916
Target: CPU - Model: mnasnet
ms < Lower Is Better
1 . 9.30 |=====================================================================
2 . 9.30 |=====================================================================
3 . 9.27 |=====================================================================
Hierarchical INTegration 1.0
Test: FLOAT
QUIPs > Higher Is Better
1 . 413697236.17 |=============================================================
2 . 413895480.90 |=============================================================
3 . 415027165.81 |=============================================================
NCNN 20200916
Target: Vulkan GPU - Model: blazeface
ms < Lower Is Better
1 . 7.24 |=====================================================================
2 . 7.26 |=====================================================================
3 . 7.26 |=====================================================================
BYTE Unix Benchmark 3.6
Computational Test: Dhrystone 2
LPS > Higher Is Better
1 . 41388503.2 |===============================================================
2 . 41285586.6 |===============================================================
3 . 41275405.5 |===============================================================
NCNN 20200916
Target: CPU - Model: squeezenet
ms < Lower Is Better
1 . 33.77 |====================================================================
2 . 33.68 |====================================================================
3 . 33.70 |====================================================================
NCNN 20200916
Target: CPU - Model: resnet50
ms < Lower Is Better
1 . 58.20 |====================================================================
2 . 58.07 |====================================================================
3 . 58.22 |====================================================================
NCNN 20200916
Target: Vulkan GPU - Model: mnasnet
ms < Lower Is Better
1 . 41.05 |====================================================================
2 . 41.11 |====================================================================
3 . 41.01 |====================================================================
NCNN 20200916
Target: Vulkan GPU - Model: googlenet
ms < Lower Is Better
1 . 100.19 |===================================================================
2 . 99.97 |===================================================================
3 . 99.97 |===================================================================
NCNN 20200916
Target: CPU - Model: googlenet
ms < Lower Is Better
1 . 31.98 |====================================================================
2 . 32.05 |====================================================================
3 . 32.04 |====================================================================
NCNN 20200916
Target: CPU - Model: mobilenet
ms < Lower Is Better
1 . 39.88 |====================================================================
2 . 39.88 |====================================================================
3 . 39.96 |====================================================================
NCNN 20200916
Target: Vulkan GPU - Model: resnet50
ms < Lower Is Better
1 . 145.94 |===================================================================
2 . 146.21 |===================================================================
3 . 145.98 |===================================================================
NCNN 20200916
Target: Vulkan GPU - Model: mobilenet
ms < Lower Is Better
1 . 109.79 |===================================================================
2 . 109.95 |===================================================================
3 . 109.75 |===================================================================
NCNN 20200916
Target: Vulkan GPU - Model: resnet18
ms < Lower Is Better
1 . 93.52 |====================================================================
2 . 93.48 |====================================================================
3 . 93.58 |====================================================================
NCNN 20200916
Target: CPU - Model: yolov4-tiny
ms < Lower Is Better
1 . 52.38 |====================================================================
2 . 52.34 |====================================================================
3 . 52.39 |====================================================================
TNN 0.2.3
Target: CPU - Model: SqueezeNet v1.1
ms < Lower Is Better
1 . 321.30 |===================================================================
2 . 321.59 |===================================================================
3 . 321.34 |===================================================================
NCNN 20200916
Target: CPU-v2-v2 - Model: mobilenet-v2
ms < Lower Is Better
1 . 9.66 |=====================================================================
2 . 9.67 |=====================================================================
3 . 9.65 |=====================================================================
FFTE 7.0
N=256, 3D Complex FFT Routine
MFLOPS > Higher Is Better
1 . 14955.25 |=================================================================
2 . 13669.48 |===========================================================
3 . 13988.36 |=============================================================