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AMD Ryzen 5 5500U testing with a NB01 NL5xNU (1.07.11RTR1 BIOS) and AMD Lucienne 512MB on Tuxedo 22.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2312189-NE-FHE94421920&grs.
DaCapo Benchmark
Java Test: Apache Xalan XSLT
oneDNN
Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU
Stress-NG
Test: Semaphores
Intel Open Image Denoise
Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only
DaCapo Benchmark
Java Test: PMD Source Code Analyzer
DaCapo Benchmark
Java Test: Apache Lucene Search Engine
Embree
Binary: Pathtracer - Model: Asian Dragon
DaCapo Benchmark
Java Test: Tradesoap
DaCapo Benchmark
Java Test: FOP Print Formatter
Stress-NG
Test: Fused Multiply-Add
PyTorch
Device: CPU - Batch Size: 64 - Model: ResNet-50
Java SciMark
Computational Test: Fast Fourier Transform
Cpuminer-Opt
Algorithm: Ringcoin
Cpuminer-Opt
Algorithm: Myriad-Groestl
DaCapo Benchmark
Java Test: Batik SVG Toolkit
DaCapo Benchmark
Java Test: Zxing 1D/2D Barcode Image Processing
NCNN
Target: Vulkan GPU - Model: efficientnet-b0
Stress-NG
Test: Futex
Java SciMark
Computational Test: Monte Carlo
Stress-NG
Test: Pipe
NCNN
Target: CPU - Model: shufflenet-v2
NCNN
Target: CPU - Model: blazeface
DaCapo Benchmark
Java Test: H2O In-Memory Platform For Machine Learning
oneDNN
Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU
DaCapo Benchmark
Java Test: Apache Lucene Search Index
SVT-AV1
Encoder Mode: Preset 13 - Input: Bosphorus 1080p
Stress-NG
Test: NUMA
PyTorch
Device: CPU - Batch Size: 1 - Model: ResNet-50
NCNN
Target: Vulkan GPU - Model: mobilenet
Stress-NG
Test: Mixed Scheduler
Neural Magic DeepSparse
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream
Stress-NG
Test: CPU Stress
NCNN
Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2
Stress-NG
Test: Wide Vector Math
C-Blosc
Test: blosclz bitshuffle - Buffer Size: 8MB
Apache Spark TPC-H
Scale Factor: 1 - Geometric Mean Of All Queries
Stress-NG
Test: CPU Cache
NCNN
Target: Vulkan GPU - Model: mnasnet
NCNN
Target: CPU - Model: FastestDet
DaCapo Benchmark
Java Test: Jython
Java SciMark
Computational Test: Dense LU Matrix Factorization
DaCapo Benchmark
Java Test: H2 Database Engine
OpenRadioss
Model: Cell Phone Drop Test
DaCapo Benchmark
Java Test: Tradebeans
NCNN
Target: Vulkan GPU - Model: squeezenet_ssd
Xmrig
Variant: Wownero - Hash Count: 1M
OpenVINO
Model: Road Segmentation ADAS FP16-INT8 - Device: CPU
OpenVINO
Model: Road Segmentation ADAS FP16-INT8 - Device: CPU
NCNN
Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3
Stress-NG
Test: Glibc C String Functions
Redis 7.0.12 + memtier_benchmark
Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:5
easyWave
Input: e2Asean Grid + BengkuluSept2007 Source - Time: 240
OpenVKL
Benchmark: vklBenchmarkCPU Scalar
OpenVINO
Model: Handwritten English Recognition FP16-INT8 - Device: CPU
OpenVINO
Model: Handwritten English Recognition FP16-INT8 - Device: CPU
Stress-NG
Test: SENDFILE
Redis 7.0.12 + memtier_benchmark
Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5
DaCapo Benchmark
Java Test: Eclipse
Neural Magic DeepSparse
Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream
NCNN
Target: Vulkan GPU - Model: resnet18
Neural Magic DeepSparse
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream
OpenVINO
Model: Weld Porosity Detection FP16 - Device: CPU
C-Blosc
Test: blosclz shuffle - Buffer Size: 8MB
Redis 7.0.12 + memtier_benchmark
Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:10
Stress-NG
Test: Vector Floating Point
Neural Magic DeepSparse
Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream
OpenVINO
Model: Weld Porosity Detection FP16 - Device: CPU
Java SciMark
Computational Test: Sparse Matrix Multiply
NCNN
Target: CPU - Model: mnasnet
Embree
Binary: Pathtracer - Model: Crown
OpenRadioss
Model: INIVOL and Fluid Structure Interaction Drop Container
VVenC
Video Input: Bosphorus 1080p - Video Preset: Fast
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
Embree
Binary: Pathtracer ISPC - Model: Crown
oneDNN
Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU
DaCapo Benchmark
Java Test: Apache Cassandra
PyTorch
Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_l
DaCapo Benchmark
Java Test: GraphChi
PyTorch
Device: CPU - Batch Size: 16 - Model: ResNet-50
Stress-NG
Test: Pthread
NCNN
Target: CPU - Model: efficientnet-b0
FFmpeg
Encoder: libx265 - Scenario: Live
NCNN
Target: CPU - Model: squeezenet_ssd
OpenRadioss
Model: Bird Strike on Windshield
NCNN
Target: Vulkan GPU - Model: googlenet
NCNN
Target: CPU - Model: vision_transformer
NCNN
Target: CPU-v3-v3 - Model: mobilenet-v3
Stress-NG
Test: AVL Tree
NCNN
Target: Vulkan GPU - Model: vision_transformer
VVenC
Video Input: Bosphorus 4K - Video Preset: Faster
SVT-AV1
Encoder Mode: Preset 12 - Input: Bosphorus 1080p
OpenVINO
Model: Face Detection FP16-INT8 - Device: CPU
Neural Magic DeepSparse
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
NCNN
Target: Vulkan GPU - Model: resnet50
Xmrig
Variant: KawPow - Hash Count: 1M
NCNN
Target: CPU - Model: yolov4-tiny
Cpuminer-Opt
Algorithm: scrypt
Embree
Binary: Pathtracer ISPC - Model: Asian Dragon
Xmrig
Variant: Monero - Hash Count: 1M
NCNN
Target: Vulkan GPU - Model: FastestDet
CloverLeaf
Input: clover_bm
NCNN
Target: Vulkan GPU - Model: regnety_400m
PyTorch
Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l
DaCapo Benchmark
Java Test: Spring Boot
Stress-NG
Test: Memory Copying
Java SciMark
Computational Test: Composite
OpenVINO
Model: Person Detection FP32 - Device: CPU
OpenVINO
Model: Person Detection FP32 - Device: CPU
PyTorch
Device: CPU - Batch Size: 32 - Model: ResNet-50
Stress-NG
Test: MMAP
Neural Magic DeepSparse
Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream
Stress-NG
Test: MEMFD
Neural Magic DeepSparse
Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream
oneDNN
Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU
Stress-NG
Test: Floating Point
OpenVINO
Model: Handwritten English Recognition FP16 - Device: CPU
NCNN
Target: CPU-v2-v2 - Model: mobilenet-v2
libavif avifenc
Encoder Speed: 10, Lossless
OpenVINO
Model: Handwritten English Recognition FP16 - Device: CPU
CloverLeaf
Input: clover_bm64_short
Xmrig
Variant: CryptoNight-Femto UPX2 - Hash Count: 1M
OpenVKL
Benchmark: vklBenchmarkCPU ISPC
Neural Magic DeepSparse
Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream
PyTorch
Device: CPU - Batch Size: 16 - Model: ResNet-152
PyTorch
Device: CPU - Batch Size: 32 - Model: ResNet-152
WebP2 Image Encode
Encode Settings: Default
Neural Magic DeepSparse
Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream
Stress-NG
Test: Context Switching
Neural Magic DeepSparse
Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream
NCNN
Target: CPU - Model: googlenet
Neural Magic DeepSparse
Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream
Blender
Blend File: Fishy Cat - Compute: CPU-Only
libavif avifenc
Encoder Speed: 0
Neural Magic DeepSparse
Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream
VVenC
Video Input: Bosphorus 4K - Video Preset: Fast
Neural Magic DeepSparse
Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream
Timed Gem5 Compilation
Time To Compile
FFmpeg
Encoder: libx264 - Scenario: Live
SVT-AV1
Encoder Mode: Preset 4 - Input: Bosphorus 1080p
Stress-NG
Test: Matrix 3D Math
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
libavif avifenc
Encoder Speed: 6, Lossless
Neural Magic DeepSparse
Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream
Stress-NG
Test: Vector Math
PyTorch
Device: CPU - Batch Size: 1 - Model: ResNet-152
PyTorch
Device: CPU - Batch Size: 64 - Model: ResNet-152
NCNN
Target: CPU - Model: alexnet
Stress-NG
Test: IO_uring
NCNN
Target: CPU - Model: resnet18
SVT-AV1
Encoder Mode: Preset 4 - Input: Bosphorus 4K
Xmrig
Variant: CryptoNight-Heavy - Hash Count: 1M
Stress-NG
Test: Cloning
NCNN
Target: CPU - Model: regnety_400m
PyTorch
Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l
libavif avifenc
Encoder Speed: 2
Stress-NG
Test: Forking
Redis 7.0.12 + memtier_benchmark
Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10
Neural Magic DeepSparse
Model: ResNet-50, Sparse INT8 - Scenario: Synchronous Single-Stream
OSPRay Studio
Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
Stress-NG
Test: Crypto
NCNN
Target: Vulkan GPU - Model: shufflenet-v2
Neural Magic DeepSparse
Model: ResNet-50, Sparse INT8 - Scenario: Synchronous Single-Stream
OpenVINO
Model: Face Detection FP16 - Device: CPU
FFmpeg
Encoder: libx265 - Scenario: Video On Demand
OpenRadioss
Model: Bumper Beam
FFmpeg
Encoder: libx265 - Scenario: Upload
Neural Magic DeepSparse
Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: ResNet-50, Baseline - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: ResNet-50, Baseline - Scenario: Synchronous Single-Stream
Stress-NG
Test: Zlib
Embree
Binary: Pathtracer ISPC - Model: Asian Dragon Obj
Stress-NG
Test: Matrix Math
OSPRay Studio
Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
OpenVINO
Model: Vehicle Detection FP16-INT8 - Device: CPU
SVT-AV1
Encoder Mode: Preset 8 - Input: Bosphorus 1080p
OpenVINO
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
OSPRay Studio
Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
OpenVINO
Model: Vehicle Detection FP16-INT8 - Device: CPU
Apache Cassandra
Test: Writes
OpenVINO
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
Timed FFmpeg Compilation
Time To Compile
Neural Magic DeepSparse
Model: BERT-Large, NLP Question Answering - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: BERT-Large, NLP Question Answering - Scenario: Synchronous Single-Stream
OpenVINO
Model: Face Detection FP16-INT8 - Device: CPU
SVT-AV1
Encoder Mode: Preset 13 - Input: Bosphorus 4K
OpenVINO
Model: Face Detection Retail FP16-INT8 - Device: CPU
Cpuminer-Opt
Algorithm: Garlicoin
ScyllaDB
Test: Writes
PyTorch
Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l
Blender
Blend File: Classroom - Compute: CPU-Only
OpenVINO
Model: Face Detection Retail FP16-INT8 - Device: CPU
DaCapo Benchmark
Java Test: Avrora AVR Simulation Framework
Cpuminer-Opt
Algorithm: LBC, LBRY Credits
OpenRadioss
Model: Rubber O-Ring Seal Installation
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
Neural Magic DeepSparse
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
Stress-NG
Test: Mutex
OSPRay Studio
Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
OpenVINO
Model: Machine Translation EN To DE FP16 - Device: CPU
C-Blosc
Test: blosclz noshuffle - Buffer Size: 8MB
Cpuminer-Opt
Algorithm: Blake-2 S
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
WebP2 Image Encode
Encode Settings: Quality 100, Compression Effort 5
NCNN
Target: Vulkan GPU - Model: vgg16
DaCapo Benchmark
Java Test: BioJava Biological Data Framework
Neural Magic DeepSparse
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
OSPRay Studio
Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
OpenVINO
Model: Machine Translation EN To DE FP16 - Device: CPU
OSPRay Studio
Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
OSPRay Studio
Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
oneDNN
Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
Neural Magic DeepSparse
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
FFmpeg
Encoder: libx265 - Scenario: Platform
OSPRay Studio
Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
Stress-NG
Test: Function Call
SVT-AV1
Encoder Mode: Preset 8 - Input: Bosphorus 4K
NCNN
Target: CPU - Model: vgg16
OSPRay Studio
Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
OSPRay Studio
Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
VVenC
Video Input: Bosphorus 1080p - Video Preset: Faster
Neural Magic DeepSparse
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
FFmpeg
Encoder: libx264 - Scenario: Video On Demand
FFmpeg
Encoder: libx264 - Scenario: Upload
OpenVINO
Model: Vehicle Detection FP16 - Device: CPU
libavif avifenc
Encoder Speed: 6
NCNN
Target: CPU - Model: resnet50
OpenVINO
Model: Vehicle Detection FP16 - Device: CPU
Embree
Binary: Pathtracer - Model: Asian Dragon Obj
oneDNN
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
QuantLib
Configuration: Multi-Threaded
Stress-NG
Test: AVX-512 VNNI
Stress-NG
Test: Hash
NCNN
Target: Vulkan GPU - Model: alexnet
Cpuminer-Opt
Algorithm: Skeincoin
NCNN
Target: CPU - Model: mobilenet
OSPRay Studio
Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
Neural Magic DeepSparse
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
Stress-NG
Test: Poll
OSPRay Studio
Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
Neural Magic DeepSparse
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
Stress-NG
Test: Socket Activity
Cpuminer-Opt
Algorithm: Deepcoin
DaCapo Benchmark
Java Test: Apache Kafka
Stress-NG
Test: System V Message Passing
Cpuminer-Opt
Algorithm: Magi
OpenVINO
Model: Road Segmentation ADAS FP16 - Device: CPU
DaCapo Benchmark
Java Test: Apache Tomcat
Timed GCC Compilation
Time To Compile
NCNN
Target: Vulkan GPU - Model: yolov4-tiny
Neural Magic DeepSparse
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
OSPRay Studio
Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
Neural Magic DeepSparse
Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
Neural Magic DeepSparse
Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream
OpenVINO
Model: Person Detection FP16 - Device: CPU
Stress-NG
Test: Glibc Qsort Data Sorting
OpenVINO
Model: Road Segmentation ADAS FP16 - Device: CPU
Neural Magic DeepSparse
Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Synchronous Single-Stream
Xmrig
Variant: GhostRider - Hash Count: 1M
Neural Magic DeepSparse
Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Synchronous Single-Stream
OSPRay Studio
Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
BRL-CAD
VGR Performance Metric
Neural Magic DeepSparse
Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream
SVT-AV1
Encoder Mode: Preset 12 - Input: Bosphorus 4K
OpenVINO
Model: Person Detection FP16 - Device: CPU
OpenVINO
Model: Face Detection Retail FP16 - Device: CPU
Neural Magic DeepSparse
Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Synchronous Single-Stream
OpenVINO
Model: Face Detection Retail FP16 - Device: CPU
Blender
Blend File: BMW27 - Compute: CPU-Only
Blender
Blend File: Pabellon Barcelona - Compute: CPU-Only
OpenRadioss
Model: Chrysler Neon 1M
OpenVINO
Model: Face Detection FP16 - Device: CPU
Cpuminer-Opt
Algorithm: Quad SHA-256, Pyrite
Neural Magic DeepSparse
Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Synchronous Single-Stream
Blender
Blend File: Barbershop - Compute: CPU-Only
OSPRay Studio
Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
OSPRay Studio
Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
FFmpeg
Encoder: libx264 - Scenario: Platform
Stress-NG
Test: Vector Shuffle
Neural Magic DeepSparse
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream
OSPRay Studio
Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
Java SciMark
Computational Test: Jacobi Successive Over-Relaxation
OpenVINO
Model: Person Vehicle Bike Detection FP16 - Device: CPU
Stress-NG
Test: Malloc
QuantLib
Configuration: Single-Threaded
Neural Magic DeepSparse
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream
DaCapo Benchmark
Java Test: jMonkeyEngine
Cpuminer-Opt
Algorithm: Triple SHA-256, Onecoin
Stress-NG
Test: Atomic
OpenVINO
Model: Person Vehicle Bike Detection FP16 - Device: CPU
easyWave
Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200
OSPRay Studio
Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
Stress-NG
Test: x86_64 RdRand
NCNN
Target: Vulkan GPU - Model: blazeface
Intel Open Image Denoise
Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only
Intel Open Image Denoise
Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only
WebP2 Image Encode
Encode Settings: Quality 100, Lossless Compression
WebP2 Image Encode
Encode Settings: Quality 95, Compression Effort 7
WebP2 Image Encode
Encode Settings: Quality 75, Compression Effort 7
Apache Spark TPC-H
Scale Factor: 1 - Q22
Apache Spark TPC-H
Scale Factor: 1 - Q21
Apache Spark TPC-H
Scale Factor: 1 - Q20
Apache Spark TPC-H
Scale Factor: 1 - Q19
Apache Spark TPC-H
Scale Factor: 1 - Q18
Apache Spark TPC-H
Scale Factor: 1 - Q17
Apache Spark TPC-H
Scale Factor: 1 - Q16
Apache Spark TPC-H
Scale Factor: 1 - Q15
Apache Spark TPC-H
Scale Factor: 1 - Q14
Apache Spark TPC-H
Scale Factor: 1 - Q13
Apache Spark TPC-H
Scale Factor: 1 - Q12
Apache Spark TPC-H
Scale Factor: 1 - Q11
Apache Spark TPC-H
Scale Factor: 1 - Q10
Apache Spark TPC-H
Scale Factor: 1 - Q09
Apache Spark TPC-H
Scale Factor: 1 - Q08
Apache Spark TPC-H
Scale Factor: 1 - Q07
Apache Spark TPC-H
Scale Factor: 1 - Q06
Apache Spark TPC-H
Scale Factor: 1 - Q05
Apache Spark TPC-H
Scale Factor: 1 - Q04
Apache Spark TPC-H
Scale Factor: 1 - Q03
Apache Spark TPC-H
Scale Factor: 1 - Q02
Apache Spark TPC-H
Scale Factor: 1 - Q01
Phoronix Test Suite v10.8.4