Broadwell 2021
Intel Core i7-5600U testing with a LENOVO 20BSCTO1WW (N14ET49W 1.27 BIOS) and Intel HD 5500 3GB on Ubuntu 20.10 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2101027-HA-BROADWELL87&grr&rdt.
VkFFT
Build2
Time To Compile
Timed FFmpeg Compilation
Time To Compile
CLOMP
Static OMP Speedup
BRL-CAD
VGR Performance Metric
NCNN
Target: CPU - Model: regnety_400m
NCNN
Target: CPU - Model: squeezenet_ssd
NCNN
Target: CPU - Model: yolov4-tiny
NCNN
Target: CPU - Model: resnet50
NCNN
Target: CPU - Model: alexnet
NCNN
Target: CPU - Model: resnet18
NCNN
Target: CPU - Model: vgg16
NCNN
Target: CPU - Model: googlenet
NCNN
Target: CPU - Model: blazeface
NCNN
Target: CPU - Model: efficientnet-b0
NCNN
Target: CPU - Model: mnasnet
NCNN
Target: CPU - Model: shufflenet-v2
NCNN
Target: CPU-v3-v3 - Model: mobilenet-v3
NCNN
Target: CPU-v2-v2 - Model: mobilenet-v2
NCNN
Target: CPU - Model: mobilenet
NCNN
Target: Vulkan GPU - Model: regnety_400m
NCNN
Target: Vulkan GPU - Model: squeezenet_ssd
NCNN
Target: Vulkan GPU - Model: yolov4-tiny
NCNN
Target: Vulkan GPU - Model: resnet50
NCNN
Target: Vulkan GPU - Model: alexnet
NCNN
Target: Vulkan GPU - Model: resnet18
NCNN
Target: Vulkan GPU - Model: vgg16
NCNN
Target: Vulkan GPU - Model: googlenet
NCNN
Target: Vulkan GPU - Model: blazeface
NCNN
Target: Vulkan GPU - Model: efficientnet-b0
NCNN
Target: Vulkan GPU - Model: mnasnet
NCNN
Target: Vulkan GPU - Model: shufflenet-v2
NCNN
Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3
NCNN
Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2
NCNN
Target: Vulkan GPU - Model: mobilenet
oneDNN
Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
Warsow
Resolution: 1280 x 1024
VKMark
Resolution: 1920 x 1080
VKMark
Resolution: 1280 x 1024
VKMark
Resolution: 800 x 600
VKMark
Resolution: 1024 x 768
Timed HMMer Search
Pfam Database Search
oneDNN
Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU
Timed Eigen Compilation
Time To Compile
Node.js V8 Web Tooling Benchmark
SQLite Speedtest
Timed Time - Size 1,000
Unpacking Firefox
Extracting: firefox-84.0.source.tar.xz
Warsow
Resolution: 1920 x 1080
simdjson
Throughput Test: Kostya
simdjson
Throughput Test: LargeRandom
Libplacebo
Test: av1_grain_lap
Libplacebo
Test: hdr_peakdetect
Libplacebo
Test: polar_nocompute
Libplacebo
Test: deband_heavy
simdjson
Throughput Test: PartialTweets
simdjson
Throughput Test: DistinctUserID
PHPBench
PHP Benchmark Suite
oneDNN
Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU
Betsy GPU Compressor
Codec: ETC1 - Quality: Highest
Betsy GPU Compressor
Codec: ETC2 RGB - Quality: Highest
WavPack Audio Encoding
WAV To WavPack
Cryptsetup
Twofish-XTS 512b Decryption
Cryptsetup
Twofish-XTS 512b Encryption
Cryptsetup
Serpent-XTS 512b Decryption
Cryptsetup
Serpent-XTS 512b Encryption
Cryptsetup
AES-XTS 512b Decryption
Cryptsetup
AES-XTS 512b Encryption
Cryptsetup
Twofish-XTS 256b Decryption
Cryptsetup
Twofish-XTS 256b Encryption
Cryptsetup
Serpent-XTS 256b Decryption
Cryptsetup
Serpent-XTS 256b Encryption
Cryptsetup
AES-XTS 256b Decryption
Cryptsetup
AES-XTS 256b Encryption
Cryptsetup
PBKDF2-whirlpool
Cryptsetup
PBKDF2-sha512
Monkey Audio Encoding
WAV To APE
Ogg Audio Encoding
WAV To Ogg
Coremark
CoreMark Size 666 - Iterations Per Second
oneDNN
Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU
VkResample
Upscale: 2x - Precision: Double
VkResample
Upscale: 2x - Precision: Single
Opus Codec Encoding
WAV To Opus Encode
Timed MAFFT Alignment
Multiple Sequence Alignment - LSU RNA
oneDNN
Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU
oneDNN
Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU
oneDNN
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
oneDNN
Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU
Phoronix Test Suite v10.8.5