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&sor.
Stream-Dynamic
- Copy
Stream-Dynamic
- Scale
Stream-Dynamic
- Add
Stream-Dynamic
- Triad
QuantLib
Etcpak
Configuration: DXT1
Etcpak
Configuration: ETC1
Etcpak
Configuration: ETC2
Etcpak
Configuration: ETC1 + Dithering
High Performance Conjugate Gradient
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
HPC Challenge
Test / Class: G-HPL
HPC Challenge
Test / Class: G-Ffte
HPC Challenge
Test / Class: EP-DGEMM
HPC Challenge
Test / Class: G-Ptrans
HPC Challenge
Test / Class: EP-STREAM Triad
HPC Challenge
Test / Class: G-Random Access
HPC Challenge
Test / Class: Random Ring Latency
HPC Challenge
Test / Class: Random Ring Bandwidth
HPC Challenge
Test / Class: Max Ping Pong Bandwidth
toyBrot Fractal Generator
Implementation: TBB
toyBrot Fractal Generator
Implementation: OpenMP
toyBrot Fractal Generator
Implementation: C++ Tasks
toyBrot Fractal Generator
Implementation: C++ Threads
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
OpenFOAM
Input: Motorbike 30M
OpenFOAM
Input: Motorbike 60M
Quantum ESPRESSO
Input: AUSURF112
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
Ngspice
Circuit: C2670
Ngspice
Circuit: C7552
Google SynthMark
Test: VoiceMark_100
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
ASKAP
Test: tConvolve MT - Gridding
ASKAP
Test: tConvolve MT - Degridding
ASKAP
Test: tConvolve MPI - Degridding
ASKAP
Test: tConvolve MPI - Gridding
ASKAP
Test: tConvolve OpenMP - Gridding
ASKAP
Test: tConvolve OpenMP - Degridding
ASKAP
Test: Hogbom Clean OpenMP
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
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
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
Phoronix Test Suite v10.8.4