Core i7 10700T Garage

Intel Core i7-10700T testing on Ubuntu 20.10 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2102203-HA-COREI710791&sro&gru.

HPC Challenge

Test / Class: G-Ptrans

HPC Challenge

Test / Class: EP-STREAM Triad

HPC Challenge

Test / Class: Random Ring Bandwidth

High Performance Conjugate Gradient

HPC Challenge

Test / Class: G-HPL

HPC Challenge

Test / Class: G-Ffte

HPC Challenge

Test / Class: EP-DGEMM

HPC Challenge

Test / Class: G-Random Access

ONNX Runtime

Model: yolov4 - Device: OpenMP CPU

ONNX Runtime

Model: bertsquad-10 - Device: OpenMP CPU

ONNX Runtime

Model: fcn-resnet101-11 - Device: OpenMP CPU

ONNX Runtime

Model: shufflenet-v2-10 - Device: OpenMP CPU

ONNX Runtime

Model: super-resolution-10 - Device: OpenMP CPU

ASKAP

Test: Hogbom Clean OpenMP

Cpuminer-Opt

Algorithm: Magi

Cpuminer-Opt

Algorithm: x25x

Cpuminer-Opt

Algorithm: Deepcoin

Cpuminer-Opt

Algorithm: Ringcoin

Cpuminer-Opt

Algorithm: Blake-2 S

Cpuminer-Opt

Algorithm: Garlicoin

Cpuminer-Opt

Algorithm: Skeincoin

Cpuminer-Opt

Algorithm: Myriad-Groestl

Cpuminer-Opt

Algorithm: LBC, LBRY Credits

Cpuminer-Opt

Algorithm: Quad SHA-256, Pyrite

Cpuminer-Opt

Algorithm: Triple SHA-256, Onecoin

Stream-Dynamic

- Copy

Stream-Dynamic

- Scale

Stream-Dynamic

- Add

Stream-Dynamic

- Triad

HPC Challenge

Test / Class: Max Ping Pong Bandwidth

lzbench

Test: XZ 0 - Process: Compression

lzbench

Test: XZ 0 - Process: Decompression

lzbench

Test: Zstd 1 - Process: Compression

lzbench

Test: Zstd 1 - Process: Decompression

lzbench

Test: Zstd 8 - Process: Compression

lzbench

Test: Zstd 8 - Process: Decompression

lzbench

Test: Crush 0 - Process: Compression

lzbench

Test: Crush 0 - Process: Decompression

lzbench

Test: Brotli 0 - Process: Compression

lzbench

Test: Brotli 0 - Process: Decompression

lzbench

Test: Brotli 2 - Process: Compression

lzbench

Test: Brotli 2 - Process: Decompression

lzbench

Test: Libdeflate 1 - Process: Compression

QuantLib

ASKAP

Test: tConvolve MT - Gridding

ASKAP

Test: tConvolve MT - Degridding

ASKAP

Test: tConvolve OpenMP - Gridding

ASKAP

Test: tConvolve OpenMP - Degridding

JPEG XL

Input: PNG - Encode Speed: 5

JPEG XL

Input: PNG - Encode Speed: 7

JPEG XL

Input: PNG - Encode Speed: 8

JPEG XL

Input: JPEG - Encode Speed: 5

JPEG XL

Input: JPEG - Encode Speed: 7

JPEG XL

Input: JPEG - Encode Speed: 8

JPEG XL Decoding

CPU Threads: 1

JPEG XL Decoding

CPU Threads: All

ASKAP

Test: tConvolve MPI - Degridding

ASKAP

Test: tConvolve MPI - Gridding

Etcpak

Configuration: DXT1

Etcpak

Configuration: ETC1

Etcpak

Configuration: ETC2

Etcpak

Configuration: ETC1 + Dithering

NAS Parallel Benchmarks

Test / Class: CG.C

NAS Parallel Benchmarks

Test / Class: EP.C

NAS Parallel Benchmarks

Test / Class: EP.D

NAS Parallel Benchmarks

Test / Class: FT.C

NAS Parallel Benchmarks

Test / Class: IS.D

NAS Parallel Benchmarks

Test / Class: LU.C

NAS Parallel Benchmarks

Test / Class: MG.C

Google SynthMark

Test: VoiceMark_100

TensorFlow Lite

Model: SqueezeNet

TensorFlow Lite

Model: Inception V4

TensorFlow Lite

Model: NASNet Mobile

TensorFlow Lite

Model: Mobilenet Float

TensorFlow Lite

Model: Mobilenet Quant

TensorFlow Lite

Model: Inception ResNet V2

toyBrot Fractal Generator

Implementation: TBB

toyBrot Fractal Generator

Implementation: OpenMP

toyBrot Fractal Generator

Implementation: C++ Tasks

toyBrot Fractal Generator

Implementation: C++ Threads

Mobile Neural Network

Model: SqueezeNetV1.0

Mobile Neural Network

Model: resnet-v2-50

Mobile Neural Network

Model: MobileNetV2_224

Mobile Neural Network

Model: mobilenet-v1-1.0

Mobile Neural Network

Model: inception-v3

NCNN

Target: CPU - Model: mobilenet

NCNN

Target: CPU-v2-v2 - Model: mobilenet-v2

NCNN

Target: CPU-v3-v3 - Model: mobilenet-v3

NCNN

Target: CPU - Model: shufflenet-v2

NCNN

Target: CPU - Model: mnasnet

NCNN

Target: CPU - Model: efficientnet-b0

NCNN

Target: CPU - Model: blazeface

NCNN

Target: CPU - Model: googlenet

NCNN

Target: CPU - Model: vgg16

NCNN

Target: CPU - Model: resnet18

NCNN

Target: CPU - Model: alexnet

NCNN

Target: CPU - Model: resnet50

NCNN

Target: CPU - Model: yolov4-tiny

NCNN

Target: CPU - Model: squeezenet_ssd

NCNN

Target: CPU - Model: regnety_400m

TNN

Target: CPU - Model: MobileNet v2

TNN

Target: CPU - Model: SqueezeNet v1.1

OpenFOAM

Input: Motorbike 30M

OpenFOAM

Input: Motorbike 60M

Quantum ESPRESSO

Input: AUSURF112

Ngspice

Circuit: C2670

Ngspice

Circuit: C7552

HPC Challenge

Test / Class: Random Ring Latency

Phoronix Test Suite v10.8.4