Intel 10980XE GCC Compiler Benchmarks
Intel Core i9-10980XE GCC compiler benchmarking by Michael Larabel for a future article.
HTML result view exported from: https://openbenchmarking.org/result/2107032-IB-10980XECO53&sro&grw.
Crypto++
Test: Keyed Algorithms
Crypto++
Test: Unkeyed Algorithms
Crypto++
Test: Integer + Elliptic Curve Public Key Algorithms
Botan
Test: KASUMI
Botan
Test: KASUMI - Decrypt
Botan
Test: AES-256
Botan
Test: AES-256 - Decrypt
Botan
Test: Twofish
Botan
Test: Twofish - Decrypt
Botan
Test: Blowfish
Botan
Test: Blowfish - Decrypt
Botan
Test: CAST-256
Botan
Test: CAST-256 - Decrypt
Botan
Test: ChaCha20Poly1305
Botan
Test: ChaCha20Poly1305 - Decrypt
FLAC Audio Encoding
WAV To FLAC
LAME MP3 Encoding
WAV To MP3
libjpeg-turbo tjbench
Test: Decompression Throughput
Ngspice
Circuit: C2670
Ngspice
Circuit: C7552
Opus Codec Encoding
WAV To Opus Encode
WavPack Audio Encoding
WAV To WavPack
Etcpak
Configuration: DXT1
Etcpak
Configuration: ETC2
Etcpak
Configuration: ETC1 + Dithering
WebP Image Encode
Encode Settings: Quality 100, Lossless
WebP Image Encode
Encode Settings: Quality 100, Highest Compression
WebP Image Encode
Encode Settings: Quality 100, Lossless, Highest Compression
eSpeak-NG Speech Engine
Text-To-Speech Synthesis
VOSK Speech Recognition Toolkit
Gcrypt Library
SecureMark
Benchmark: SecureMark-TLS
QuantLib
Timed HMMer Search
Pfam Database Search
Timed MrBayes Analysis
Primate Phylogeny Analysis
Himeno Benchmark
Poisson Pressure Solver
Mobile Neural Network
Model: mobilenetV3
Mobile Neural Network
Model: squeezenetv1.1
Mobile Neural Network
Model: resnet-v2-50
Mobile Neural Network
Model: SqueezeNetV1.0
Mobile Neural Network
Model: MobileNetV2_224
Mobile Neural Network
Model: mobilenet-v1-1.0
Mobile Neural Network
Model: inception-v3
TNN
Target: CPU - Model: DenseNet
TNN
Target: CPU - Model: MobileNet v2
TNN
Target: CPU - Model: SqueezeNet v2
TNN
Target: CPU - Model: SqueezeNet v1.1
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
oneDNN
Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU
oneDNN
Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU
oneDNN
Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU
oneDNN
Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU
oneDNN
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU
Coremark
CoreMark Size 666 - Iterations Per Second
Stockfish
Total Time
7-Zip Compression
Compress Speed Test
Zstd Compression
Compression Level: 8 - Compression Speed
Zstd Compression
Compression Level: 8 - Decompression Speed
Zstd Compression
Compression Level: 19 - Compression Speed
Zstd Compression
Compression Level: 19 - Decompression Speed
Zstd Compression
Compression Level: 8, Long Mode - Compression Speed
Zstd Compression
Compression Level: 8, Long Mode - Decompression Speed
Zstd Compression
Compression Level: 19, Long Mode - Compression Speed
Zstd Compression
Compression Level: 19, Long Mode - Decompression Speed
Kvazaar
Video Input: Bosphorus 4K - Video Preset: Very Fast
Kvazaar
Video Input: Bosphorus 4K - Video Preset: Ultra Fast
AOM AV1
Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K
AOM AV1
Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K
AOM AV1
Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K
AOM AV1
Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K
libgav1
Video Input: Summer Nature 4K
libgav1
Video Input: Chimera 1080p 10-bit
VP9 libvpx Encoding
Speed: Speed 0 - Input: Bosphorus 4K
VP9 libvpx Encoding
Speed: Speed 5 - Input: Bosphorus 4K
GraphicsMagick
Operation: Swirl
GraphicsMagick
Operation: Rotate
GraphicsMagick
Operation: Sharpen
GraphicsMagick
Operation: Enhanced
GraphicsMagick
Operation: Resizing
GraphicsMagick
Operation: Noise-Gaussian
GraphicsMagick
Operation: HWB Color Space
Tachyon
Total Time
SVT-VP9
Tuning: VMAF Optimized - Input: Bosphorus 1080p
SVT-VP9
Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p
SVT-VP9
Tuning: Visual Quality Optimized - Input: Bosphorus 1080p
dav1d
Video Input: Summer Nature 4K
dav1d
Video Input: Chimera 1080p 10-bit
SVT-AV1
Encoder Mode: Preset 4 - Input: Bosphorus 4K
SVT-AV1
Encoder Mode: Preset 8 - Input: Bosphorus 4K
x265
Video Input: Bosphorus 4K
C-Ray
Total Time - 4K, 16 Rays Per Pixel
SVT-HEVC
Tuning: 1 - Input: Bosphorus 1080p
SVT-HEVC
Tuning: 7 - Input: Bosphorus 1080p
SVT-HEVC
Tuning: 10 - Input: Bosphorus 1080p
Smallpt
Global Illumination Renderer; 128 Samples
FinanceBench
Benchmark: Repo OpenMP
FinanceBench
Benchmark: Bonds OpenMP
ViennaCL
Test: CPU BLAS - sCOPY
ViennaCL
Test: CPU BLAS - sAXPY
ViennaCL
Test: CPU BLAS - sDOT
ViennaCL
Test: CPU BLAS - dCOPY
ViennaCL
Test: CPU BLAS - dAXPY
ViennaCL
Test: CPU BLAS - dDOT
ViennaCL
Test: CPU BLAS - dGEMV-N
ViennaCL
Test: CPU BLAS - dGEMV-T
ViennaCL
Test: CPU BLAS - dGEMM-NN
ViennaCL
Test: CPU BLAS - dGEMM-NT
ViennaCL
Test: CPU BLAS - dGEMM-TN
ViennaCL
Test: CPU BLAS - dGEMM-TT
C-Blosc
Compressor: blosclz
Liquid-DSP
Threads: 32 - Buffer Length: 256 - Filter Length: 57
Liquid-DSP
Threads: 36 - Buffer Length: 256 - Filter Length: 57
SQLite Speedtest
Timed Time - Size 1,000
GnuPG
2.7GB Sample File Encryption
PJSIP
Method: INVITE
PJSIP
Method: OPTIONS, Stateful
PJSIP
Method: OPTIONS, Stateless
Phoronix Test Suite v10.8.5