ArrowLake
Benchmarks for a future article.
HTML result view exported from: https://openbenchmarking.org/result/2410256-PTS-ARROWLAK40&rdt&grw.
WarpX
Input: Plasma Acceleration
Epoch
Epoch3D Deck: Cone
WarpX
Input: Uniform Plasma
LZ4 Compression
Compression Level: 1 - Compression Speed
LZ4 Compression
Compression Level: 1 - Decompression Speed
LZ4 Compression
Compression Level: 2 - Compression Speed
LZ4 Compression
Compression Level: 2 - Decompression Speed
LZ4 Compression
Compression Level: 3 - Compression Speed
LZ4 Compression
Compression Level: 3 - Decompression Speed
LZ4 Compression
Compression Level: 9 - Compression Speed
LZ4 Compression
Compression Level: 9 - Decompression Speed
LZ4 Compression
Compression Level: 12 - Compression Speed
LZ4 Compression
Compression Level: 12 - Decompression Speed
Opus Codec Encoding
WAV To Opus Encode
LiteRT
Model: DeepLab V3
LiteRT
Model: SqueezeNet
LiteRT
Model: Inception V4
LiteRT
Model: NASNet Mobile
LiteRT
Model: Mobilenet Float
LiteRT
Model: Mobilenet Quant
GraphicsMagick
Operation: HWB Color Space
LiteRT
Model: Inception ResNet V2
LiteRT
Model: Quantized COCO SSD MobileNet v1
Whisperfile
Model Size: Tiny
Whisperfile
Model Size: Small
Whisperfile
Model Size: Medium
Mobile Neural Network
Model: nasnet
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
GraphicsMagick
Operation: Swirl
GraphicsMagick
Operation: Resizing
GraphicsMagick
Operation: Noise-Gaussian
GraphicsMagick
Operation: Enhanced
GraphicsMagick
Operation: Sharpen
GraphicsMagick
Operation: Rotate
Mobile Neural Network
Model: mobilenetV3
Mobile Neural Network
Model: mobilenet-v1-1.0
Mobile Neural Network
Model: inception-v3
XNNPACK
Model: FP32MobileNetV1
XNNPACK
Model: FP32MobileNetV2
XNNPACK
Model: FP32MobileNetV3Large
XNNPACK
Model: FP32MobileNetV3Small
XNNPACK
Model: FP16MobileNetV1
XNNPACK
Model: FP16MobileNetV2
XNNPACK
Model: FP16MobileNetV3Large
x265
Video Input: Bosphorus 1080p
Y-Cruncher
Pi Digits To Calculate: 1B
XNNPACK
Model: FP16MobileNetV3Small
7-Zip Compression
Test: Decompression Rating
7-Zip Compression
Test: Compression Rating
Y-Cruncher
Pi Digits To Calculate: 500M
XNNPACK
Model: QS8MobileNetV2
POV-Ray
Trace Time
x265
Video Input: Bosphorus 4K
GROMACS
Implementation: MPI CPU - Input: water_GMX50_bare
Stockfish
Chess Benchmark
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
CP2K Molecular Dynamics
Input: H20-64
CP2K Molecular Dynamics
Input: H20-256
CP2K Molecular Dynamics
Input: Fayalite-FIST
Stockfish
Chess Benchmark
7-Zip Compression
Test: Compression Rating
7-Zip Compression
Test: Decompression Rating
Timed Linux Kernel Compilation
Build: defconfig
SVT-AV1
Encoder Mode: Preset 3 - Input: Bosphorus 4K
SVT-AV1
Encoder Mode: Preset 5 - Input: Bosphorus 4K
SVT-AV1
Encoder Mode: Preset 8 - Input: Bosphorus 4K
SVT-AV1
Encoder Mode: Preset 13 - Input: Bosphorus 4K
SVT-AV1
Encoder Mode: Preset 3 - Input: Bosphorus 1080p
SVT-AV1
Encoder Mode: Preset 5 - Input: Bosphorus 1080p
SVT-AV1
Encoder Mode: Preset 8 - Input: Bosphorus 1080p
SVT-AV1
Encoder Mode: Preset 13 - Input: Bosphorus 1080p
SVT-AV1
Encoder Mode: Preset 3 - Input: Beauty 4K 10-bit
SVT-AV1
Encoder Mode: Preset 5 - Input: Beauty 4K 10-bit
SVT-AV1
Encoder Mode: Preset 8 - Input: Beauty 4K 10-bit
SVT-AV1
Encoder Mode: Preset 13 - Input: Beauty 4K 10-bit
x265
Video Input: Bosphorus 4K
x265
Video Input: Bosphorus 1080p
Blender
Blend File: BMW27 - Compute: CPU-Only
Blender
Blend File: Junkshop - Compute: CPU-Only
Blender
Blend File: Fishy Cat - Compute: CPU-Only
Blender
Blend File: Barbershop - Compute: CPU-Only
Blender
Blend File: Pabellon Barcelona - Compute: CPU-Only
simdjson
Throughput Test: Kostya
simdjson
Throughput Test: TopTweet
simdjson
Throughput Test: LargeRandom
simdjson
Throughput Test: PartialTweets
simdjson
Throughput Test: DistinctUserID
BYTE Unix Benchmark
Computational Test: Pipe
BYTE Unix Benchmark
Computational Test: Dhrystone 2
BYTE Unix Benchmark
Computational Test: System Call
BYTE Unix Benchmark
Computational Test: Whetstone Double
Phoronix Test Suite v10.8.5