core-i5-12500
Intel Core i5-12500 testing with a ASUS PRIME Z690M-HZ (9023 BIOS) and ASUS Intel Alder Lake-S GT1 [UHD 770] on Debian 12 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2407248-NE-COREI512555&grw.
System GZIP Decompression
Crafty
Elapsed Time
CacheBench
Test: Read
CacheBench
Test: Write
CacheBench
Test: Read / Modify / Write
LAME MP3 Encoding
WAV To MP3
miniBUDE
Implementation: OpenMP - Input Deck: BM1
miniBUDE
Implementation: OpenMP - Input Deck: BM1
miniBUDE
Implementation: OpenMP - Input Deck: BM2
miniBUDE
Implementation: OpenMP - Input Deck: BM2
Quicksilver
Input: CORAL2 P1
FFTW
Build: Stock - Size: 1D FFT Size 4096
Quicksilver
Input: CORAL2 P2
Quicksilver
Input: CTS2
FFTW
Build: Stock - Size: 1D FFT Size 32
FFTW
Build: Stock - Size: 2D FFT Size 4096
FFTW
Build: Float + SSE - Size: 1D FFT Size 32
FFTW
Build: Float + SSE - Size: 2D FFT Size 32
FFTW
Build: Float + SSE - Size: 1D FFT Size 4096
FFTW
Build: Float + SSE - Size: 2D FFT Size 4096
Timed MAFFT Alignment
Multiple Sequence Alignment - LSU RNA
Himeno Benchmark
Poisson Pressure Solver
FFTW
Build: Stock - Size: 2D FFT Size 32
easyWave
Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400
easyWave
Input: e2Asean Grid + BengkuluSept2007 Source - Time: 240
easyWave
Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200
DeepSpeech
Acceleration: CPU
Mobile Neural Network
Model: nasnet
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
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
TNN
Target: CPU - Model: DenseNet
TNN
Target: CPU - Model: MobileNet v2
TNN
Target: CPU - Model: SqueezeNet v2
TNN
Target: CPU - Model: SqueezeNet v1.1
NAMD
Input: ATPase with 327,506 Atoms
NAMD
Input: STMV with 1,066,628 Atoms
oneDNN
Harness: IP Shapes 1D - Engine: CPU
oneDNN
Harness: IP Shapes 3D - Engine: CPU
oneDNN
Harness: Convolution Batch Shapes Auto - Engine: CPU
oneDNN
Harness: Deconvolution Batch shapes_1d - Engine: CPU
oneDNN
Harness: Deconvolution Batch shapes_3d - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Training - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Inference - Engine: CPU
ACES DGEMM
Sustained Floating-Point Rate
Timed MPlayer Compilation
Time To Compile
Stockfish
Total Time
Stockfish
Chess Benchmark
m-queens
Time To Solve
Timed Linux Kernel Compilation
Build: defconfig
x264
Video Input: Bosphorus 4K
x264
Video Input: Bosphorus 1080p
x265
Video Input: Bosphorus 4K
x265
Video Input: Bosphorus 1080p
C-Ray
Total Time - 4K, 16 Rays Per Pixel
Gzip Compression
Linux Source Tree Archiving To .tar.gz
Phoronix Test Suite v10.8.5