GM-1000

Intel Xeon E-2288G testing with a Compulab SBC-ATCFL v1.2 (ATOP3.PRD.0.29.2 BIOS) and NVIDIA Quadro RTX 4000 8GB on Ubuntu 20.10 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2010308-FI-2010295FI67
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AV1 3 Tests
Bioinformatics 2 Tests
BLAS (Basic Linear Algebra Sub-Routine) Tests 2 Tests
C++ Boost Tests 2 Tests
Timed Code Compilation 5 Tests
C/C++ Compiler Tests 21 Tests
Compression Tests 3 Tests
CPU Massive 30 Tests
Creator Workloads 24 Tests
Cryptography 2 Tests
Database Test Suite 5 Tests
Encoding 7 Tests
Fortran Tests 6 Tests
Game Development 3 Tests
HPC - High Performance Computing 24 Tests
Imaging 6 Tests
Java 2 Tests
Common Kernel Benchmarks 6 Tests
Machine Learning 12 Tests
Molecular Dynamics 5 Tests
MPI Benchmarks 5 Tests
Multi-Core 27 Tests
NVIDIA GPU Compute 7 Tests
OCR 2 Tests
Intel oneAPI 3 Tests
OpenCV Tests 2 Tests
OpenMPI Tests 5 Tests
Productivity 2 Tests
Programmer / Developer System Benchmarks 9 Tests
Python 4 Tests
Raytracing 2 Tests
Renderers 3 Tests
Scientific Computing 11 Tests
Server 6 Tests
Server CPU Tests 17 Tests
Single-Threaded 6 Tests
Speech 2 Tests
Telephony 2 Tests
Video Encoding 7 Tests
Vulkan Compute 3 Tests
Common Workstation Benchmarks 3 Tests

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GM-1000
October 28 2020
  18 Hours, 39 Minutes
CompuLab Airtop3
October 29 2020
  12 Hours, 59 Minutes
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  15 Hours, 49 Minutes
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GM-1000 Suite 1.0.0 System Test suite extracted from GM-1000. pts/ncnn-1.0.3 Target: Vulkan GPU - Model: vgg16 pts/glmark2-1.2.0 -s 1920x1080 Resolution: 1920 x 1080 pts/ncnn-1.0.3 Target: Vulkan GPU - Model: alexnet pts/ncnn-1.0.3 Target: Vulkan GPU - Model: resnet50 pts/ncnn-1.0.3 Target: Vulkan GPU - Model: resnet18 pts/realsr-ncnn-1.0.0 -s 4 -x Scale: 4x - TAA: Yes pts/cassandra-1.0.3 WRITE Test: Writes pts/waifu2x-ncnn-1.0.0 -s 2 -n 3 -x Scale: 2x - Denoise: 3 - TAA: Yes pts/realsr-ncnn-1.0.0 -s 4 Scale: 4x - TAA: No pts/leveldb-1.0.0 --benchmarks=fillsync --num=1000000 Benchmark: Fill Sync pts/ncnn-1.0.3 Target: Vulkan GPU - Model: squeezenet pts/onednn-1.5.0 --ip --batch=inputs/ip/ip_all --cfg=u8s8f32 --engine=cpu Harness: IP Batch All - Data Type: u8s8f32 - Engine: CPU pts/ncnn-1.0.3 Target: Vulkan GPU - Model: googlenet pts/rocksdb-1.0.2 --benchmarks="readwhilewriting" Test: Read While Writing pts/rays1bench-1.0.0 Large Scene pts/brl-cad-1.1.0 VGR Performance Metric pts/astcenc-1.0.0 -thorough Preset: Thorough pts/pgbench-1.10.1 -s 1 -c 50 -S Scaling Factor: 1 - Clients: 50 - Mode: Read Only pts/onednn-1.5.0 --matmul --batch=inputs/matmul/shapes_transformer --cfg=u8s8f32 --engine=cpu Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU pts/pgbench-1.10.1 -s 1 -c 50 -S Scaling Factor: 1 - Clients: 50 - Mode: Read Only - Average Latency pts/astcenc-1.0.0 -exhaustive Preset: Exhaustive pts/onednn-1.5.0 --deconv --batch=inputs/deconv/deconv_1d --cfg=u8s8f32 --engine=cpu Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 - Engine: CPU pts/numenta-nab-1.1.0 -d earthgeckoSkyline Detector: Earthgecko Skyline pts/numenta-nab-1.1.0 -d bayesChangePt Detector: Bayesian Changepoint pts/numenta-nab-1.1.0 -d relativeEntropy Detector: Relative Entropy pts/ior-1.0.0 Read Test pts/build-linux-kernel-1.10.2 Time To Compile pts/kvazaar-1.0.0 -i Bosphorus_3840x2160.y4m --preset veryfast Video Input: Bosphorus 4K - Video Preset: Very Fast pts/onednn-1.5.0 --deconv --batch=inputs/deconv/deconv_1d --cfg=f32 --engine=cpu Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPU pts/kvazaar-1.0.0 -i Bosphorus_3840x2160.y4m --preset medium Video Input: Bosphorus 4K - Video Preset: Medium pts/kvazaar-1.0.0 -i Bosphorus_3840x2160.y4m --preset ultrafast Video Input: Bosphorus 4K - Video Preset: Ultra Fast pts/namd-1.2.1 ATPase Simulation - 327,506 Atoms pts/kvazaar-1.0.0 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset medium Video Input: Bosphorus 1080p - Video Preset: Medium pts/yafaray-1.0.0 Total Time For Sample Scene pts/luxcorerender-1.2.3 DLSC/LuxCoreScene/render.cfg Scene: DLSC pts/ncnn-1.0.3 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 pts/numenta-nab-1.1.0 -d windowedGaussian Detector: Windowed Gaussian pts/ncnn-1.0.3 Target: Vulkan GPU - Model: mnasnet pts/build-llvm-1.2.1 Time To Compile pts/onednn-1.5.0 --rnn --batch=inputs/rnn/rnn_training --cfg=f32 --engine=cpu Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU pts/ncnn-1.0.3 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 pts/luxcorerender-1.2.3 RainbowColorsAndPrism/LuxCoreScene/render.cfg Scene: Rainbow Colors and Prism pts/svt-av1-2.2.1 -enc-mode 4 -n 80 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Enc Mode 4 - Input: 1080p pts/oidn-1.2.0 -hdr memorial.pfm Scene: Memorial pts/ncnn-1.0.3 Target: Vulkan GPU - Model: mobilenet pts/compress-7zip-1.7.1 Compress Speed Test pts/onednn-1.5.0 --deconv --batch=inputs/deconv/deconv_3d --cfg=u8s8f32 --engine=cpu Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 - Engine: CPU pts/kvazaar-1.0.0 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset veryfast Video Input: Bosphorus 1080p - Video Preset: Very Fast pts/john-the-ripper-1.7.2 --format=bcrypt Test: Blowfish pts/ncnn-1.0.3 Target: Vulkan GPU - Model: efficientnet-b0 pts/john-the-ripper-1.7.2 --format=md5crypt Test: MD5 pts/avifenc-1.0.0 -s 0 Encoder Speed: 0 pts/ncnn-1.0.3 Target: Vulkan GPU - Model: yolov4-tiny pts/x265-1.3.0 Bosphorus_3840x2160.y4m Video Input: Bosphorus 4K pts/incompact3d-1.0.0 examples/Cylinder/input.i3d Input: Cylinder pts/avifenc-1.0.0 -s 2 Encoder Speed: 2 pts/tensorflow-lite-1.0.0 --graph=inception_resnet_v2.tflite Model: Inception ResNet V2 pts/tensorflow-lite-1.0.0 --graph=inception_v4.tflite Model: Inception V4 pts/ncnn-1.0.3 Target: Vulkan GPU - Model: shufflenet-v2 system/ocrmypdf-1.0.0 Processing 60 Page PDF Document pts/dav1d-1.6.0 -i chimera_8b_1080p.ivf Video Input: Chimera 1080p pts/tensorflow-lite-1.0.0 --graph=mobilenet_v1_1.0_224.tflite Model: Mobilenet Float pts/svt-av1-2.2.1 -enc-mode 0 -n 20 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Enc Mode 0 - Input: 1080p pts/dacapobench-1.0.1 tradesoap Java Test: Tradesoap pts/tensorflow-lite-1.0.0 --graph=squeezenet.tflite Model: SqueezeNet pts/tensorflow-lite-1.0.0 --graph=mobilenet_v1_1.0_224_quant.tflite Model: Mobilenet Quant pts/build-php-1.5.1 Time To Compile pts/rocksdb-1.0.2 --benchmarks="readrandom" Test: Random Read pts/openvkl-1.0.0 vklBenchmark Benchmark: vklBenchmark pts/ai-benchmark-1.0.0 Device Inference Score pts/x265-1.3.0 Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m Video Input: Bosphorus 1080p pts/ncnn-1.0.3 Target: Vulkan GPU - Model: blazeface pts/mocassin-1.0.0 Input: Dust 2D tau100.0 pts/build-gdb-1.0.1 Time To Compile pts/dav1d-1.6.0 -i summer_nature_4k.ivf Video Input: Summer Nature 4K pts/dav1d-1.6.0 -i summer_nature_1080p.ivf Video Input: Summer Nature 1080p pts/mnn-1.0.1 Model: SqueezeNetV1.0 pts/onednn-1.5.0 --ip --batch=inputs/ip/ip_all --cfg=f32 --engine=cpu Harness: IP Batch All - Data Type: f32 - Engine: CPU system/wireguard-1.0.1 pts/ncnn-1.0.3 -1 Target: CPU - Model: resnet50 system/hugin-1.0.0 Panorama Photo Assistant + Stitching Time pts/keydb-1.2.0 pts/ai-benchmark-1.0.0 Device AI Score pts/leveldb-1.0.0 --benchmarks=fillseq --num=500000 Benchmark: Sequential Fill pts/leveldb-1.0.0 --benchmarks=readrandom --num=1000000 Benchmark: Random Read pts/tensorflow-lite-1.0.0 --graph=nasnet_mobile.tflite Model: NASNet Mobile pts/onednn-1.5.0 --rnn --batch=inputs/rnn/rnn_inference --cfg=f32 --engine=cpu Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU pts/ncnn-1.0.3 -1 Target: CPU - Model: mobilenet pts/ncnn-1.0.3 -1 Target: CPU - Model: alexnet pts/ncnn-1.0.3 -1 Target: CPU - Model: squeezenet pts/leveldb-1.0.0 --benchmarks=fillrandom --num=100000 Benchmark: Random Fill system/rawtherapee-1.0.1 Total Benchmark Time pts/leveldb-1.0.0 --benchmarks=overwrite --num=100000 Benchmark: Overwrite pts/ncnn-1.0.3 -1 Target: CPU - Model: resnet18 pts/gromacs-1.4.0 Water Benchmark pts/build-apache-1.6.1 Time To Compile pts/mlpack-1.0.2 SCIKIT_ICA Benchmark: scikit_ica pts/vpxenc-3.0.0 --cpu-used=0 Speed: Speed 0 pts/ai-benchmark-1.0.0 Device Training Score pts/dav1d-1.6.0 -i chimera_10b_1080p.ivf Video Input: Chimera 1080p 10-bit pts/ncnn-1.0.3 -1 Target: CPU - Model: yolov4-tiny pts/rocksdb-1.0.2 --benchmarks="fillsync" Test: Random Fill Sync pts/vpxenc-3.0.0 --cpu-used=5 Speed: Speed 5 pts/astcenc-1.0.0 -fast Preset: Fast pts/mnn-1.0.1 Model: inception-v3 pts/leveldb-1.0.0 --benchmarks=readhot --num=1000000 Benchmark: Hot Read pts/espeak-1.6.0 Text-To-Speech Synthesis pts/mlpack-1.0.2 SCIKIT_QDA Benchmark: scikit_qda pts/lammps-1.2.1 in.rhodo Model: Rhodopsin Protein pts/java-gradle-perf-1.1.0 TEST_REACTOR Gradle Build: Reactor pts/rocksdb-1.0.2 --benchmarks="fillrandom" Test: Random Fill pts/pyperformance-1.0.2 pickle_pure_python Benchmark: pickle_pure_python pts/pyperformance-1.0.2 chaos Benchmark: chaos pts/pyperformance-1.0.2 float Benchmark: float system/rsvg-1.0.0 Operation: SVG Files To PNG pts/pyperformance-1.0.2 crypto_pyaes Benchmark: crypto_pyaes pts/webp-1.0.0 -q 100 -lossless -m 6 Encode Settings: Quality 100, Lossless, Highest Compression pts/pyperformance-1.0.2 go Benchmark: go pts/pyperformance-1.0.2 pathlib Benchmark: pathlib pts/pgbench-1.10.1 -s 1 -c 1 -S Scaling Factor: 1 - Clients: 1 - Mode: Read Only pts/rnnoise-1.0.2 pts/pyperformance-1.0.2 regex_compile Benchmark: regex_compile pts/rocksdb-1.0.2 --benchmarks="fillseq" Test: Sequential Fill pts/tnn-1.0.0 -dt NAIVE -mp ../benchmark/benchmark-model/squeezenet_v1.1.tnnproto Target: CPU - Model: SqueezeNet v1.1 pts/pyperformance-1.0.2 django_template Benchmark: django_template pts/webp-1.0.0 -q 100 -m 6 Encode Settings: Quality 100, Highest Compression pts/pyperformance-1.0.2 raytrace Benchmark: raytrace pts/byte-1.2.2 TEST_DHRY2 Computational Test: Dhrystone 2 pts/git-1.1.0 Time To Complete Common Git Commands pts/pyperformance-1.0.2 nbody Benchmark: nbody pts/webp-1.0.0 Encode Settings: Default system/tesseract-ocr-1.0.1 Time To OCR 7 Images pts/webp-1.0.0 -q 100 Encode Settings: Quality 100 pts/onednn-1.5.0 --deconv --batch=inputs/deconv/deconv_3d --cfg=f32 --engine=cpu Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPU pts/pyperformance-1.0.2 2to3 Benchmark: 2to3 pts/pgbench-1.10.1 -s 1 -c 1 -S Scaling Factor: 1 - Clients: 1 - Mode: Read Only - Average Latency pts/dolfyn-1.0.3 Computational Fluid Dynamics pts/pyperformance-1.0.2 json_loads Benchmark: json_loads pts/webp-1.0.0 -q 100 -lossless Encode Settings: Quality 100, Lossless pts/pyperformance-1.0.2 python_startup Benchmark: python_startup pts/avifenc-1.0.0 -s 8 Encoder Speed: 8 pts/dacapobench-1.0.1 jython Java Test: Jython pts/hmmer-1.2.0 Pfam Database Search pts/hint-1.0.3 FLOAT Test: FLOAT pts/avifenc-1.0.0 -s 10 Encoder Speed: 10 pts/mafft-1.6.1 Multiple Sequence Alignment - LSU RNA pts/numpy-1.2.0 pts/tnn-1.0.0 -dt NAIVE -mp ../benchmark/benchmark-model/mobilenet_v2.tnnproto Target: CPU - Model: MobileNet v2 pts/mlpack-1.0.2 SCIKIT_SVM Benchmark: scikit_svm pts/leveldb-1.0.0 --benchmarks=deleterandom --num=500000 Benchmark: Random Delete pts/ncnn-1.0.3 -1 Target: CPU-v2-v2 - Model: mobilenet-v2 pts/mlpack-1.0.2 SCIKIT_LINEARRIDGEREGRESSION Benchmark: scikit_linearridgeregression pts/postmark-1.1.2 Disk Transaction Performance pts/ncnn-1.0.3 -1 Target: CPU - Model: vgg16 pts/caffe-1.5.0 --model=../models/bvlc_googlenet/deploy.prototxt -iterations 200 Model: GoogleNet - Acceleration: CPU - Iterations: 200 system/octave-benchmark-1.0.1 pts/caffe-1.5.0 --model=../models/bvlc_googlenet/deploy.prototxt -iterations 100 Model: GoogleNet - Acceleration: CPU - Iterations: 100 pts/libraw-1.0.0 Post-Processing Benchmark pts/compress-zstd-1.2.1 -b3 Compression Level: 3 pts/mnn-1.0.1 Model: resnet-v2-50 pts/pgbench-1.10.1 -s 1 -c 50 Scaling Factor: 1 - Clients: 50 - Mode: Read Write pts/pgbench-1.10.1 -s 1 -c 50 Scaling Factor: 1 - Clients: 50 - Mode: Read Write - Average Latency pts/blosc-1.0.0 blosclz Compressor: blosclz pts/dacapobench-1.0.1 h2 Java Test: H2 pts/caffe-1.5.0 --model=../models/bvlc_alexnet/deploy.prototxt -iterations 100 Model: AlexNet - Acceleration: CPU - Iterations: 100 pts/caffe-1.5.0 --model=../models/bvlc_alexnet/deploy.prototxt -iterations 200 Model: AlexNet - Acceleration: CPU - Iterations: 200 pts/onednn-1.5.0 --matmul --batch=inputs/matmul/shapes_transformer --cfg=f32 --engine=cpu Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU pts/compress-zstd-1.2.1 -b19 Compression Level: 19 pts/hpcg-1.2.1 pts/lczero-1.5.1 -b blas Backend: BLAS pts/onednn-1.5.0 --conv --batch=inputs/conv/shapes_auto --cfg=u8s8f32 --engine=cpu Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU pts/onednn-1.5.0 --conv --batch=inputs/conv/shapes_auto --cfg=f32 --engine=cpu Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU pts/kripke-1.0.0 pts/lczero-1.5.1 -b eigen Backend: Eigen pts/ffte-1.2.1 N=256, 3D Complex FFT Routine pts/waifu2x-ncnn-1.0.0 -s 2 -n 3 Scale: 2x - Denoise: 3 - TAA: No pts/ncnn-1.0.3 -1 Target: CPU - Model: googlenet pts/ncnn-1.0.3 -1 Target: CPU - Model: blazeface pts/ncnn-1.0.3 -1 Target: CPU - Model: efficientnet-b0 pts/ncnn-1.0.3 -1 Target: CPU - Model: mnasnet pts/ncnn-1.0.3 -1 Target: CPU - Model: shufflenet-v2 pts/ncnn-1.0.3 -1 Target: CPU-v3-v3 - Model: mobilenet-v3 pts/mnn-1.0.1 Model: mobilenet-v1-1.0 pts/mnn-1.0.1 Model: MobileNetV2_224 pts/astcenc-1.0.0 -medium Preset: Medium pts/pgbench-1.10.1 -s 1 -c 1 Scaling Factor: 1 - Clients: 1 - Mode: Read Write - Average Latency pts/pgbench-1.10.1 -s 1 -c 1 Scaling Factor: 1 - Clients: 1 - Mode: Read Write pts/leveldb-1.0.0 --benchmarks=seekrandom --num=1000000 Benchmark: Seek Random pts/openssl-1.11.0 RSA 4096-bit Performance pts/svt-vp9-1.2.2 -tune 0 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Tuning: Visual Quality Optimized - Input: Bosphorus 1080p pts/svt-vp9-1.2.2 -tune 1 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p pts/kvazaar-1.0.0 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset ultrafast Video Input: Bosphorus 1080p - Video Preset: Ultra Fast pts/onednn-1.5.0 --ip --batch=inputs/ip/ip_1d --cfg=u8s8f32 --engine=cpu Harness: IP Batch 1D - Data Type: u8s8f32 - Engine: CPU pts/onednn-1.5.0 --ip --batch=inputs/ip/ip_1d --cfg=f32 --engine=cpu Harness: IP Batch 1D - Data Type: f32 - Engine: CPU pts/dacapobench-1.0.1 tradebeans Java Test: Tradebeans pts/ior-1.0.0 Write Test