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/java-gradle-perf-1.1.0 TEST_REACTOR Gradle Build: Reactor pts/dacapobench-1.0.1 h2 Java Test: H2 pts/dacapobench-1.0.1 jython Java Test: Jython pts/dacapobench-1.0.1 tradesoap Java Test: Tradesoap pts/dacapobench-1.0.1 tradebeans Java Test: Tradebeans pts/hint-1.0.3 FLOAT Test: FLOAT system/tesseract-ocr-1.0.1 Time To OCR 7 Images pts/brl-cad-1.1.0 VGR Performance Metric pts/astcenc-1.0.0 -fast Preset: Fast pts/astcenc-1.0.0 -medium Preset: Medium pts/astcenc-1.0.0 -thorough Preset: Thorough pts/astcenc-1.0.0 -exhaustive Preset: Exhaustive system/hugin-1.0.0 Panorama Photo Assistant + Stitching Time pts/libraw-1.0.0 Post-Processing Benchmark system/rawtherapee-1.0.1 Total Benchmark Time pts/webp-1.0.0 Encode Settings: Default pts/webp-1.0.0 -q 100 Encode Settings: Quality 100 pts/webp-1.0.0 -q 100 -lossless Encode Settings: Quality 100, Lossless pts/webp-1.0.0 -q 100 -m 6 Encode Settings: Quality 100, Highest Compression pts/webp-1.0.0 -q 100 -lossless -m 6 Encode Settings: Quality 100, Lossless, Highest Compression system/rsvg-1.0.0 Operation: SVG Files To PNG system/ocrmypdf-1.0.0 Processing 60 Page PDF Document pts/espeak-1.6.0 Text-To-Speech Synthesis pts/glmark2-1.2.0 -s 1920x1080 Resolution: 1920 x 1080 pts/hmmer-1.2.0 Pfam Database Search pts/mafft-1.6.1 Multiple Sequence Alignment - LSU RNA pts/lczero-1.5.1 -b blas Backend: BLAS pts/lczero-1.5.1 -b eigen Backend: Eigen pts/numenta-nab-1.1.0 -d relativeEntropy Detector: Relative Entropy pts/numenta-nab-1.1.0 -d windowedGaussian Detector: Windowed Gaussian pts/numenta-nab-1.1.0 -d earthgeckoSkyline Detector: Earthgecko Skyline pts/numenta-nab-1.1.0 -d bayesChangePt Detector: Bayesian Changepoint pts/numpy-1.2.0 pts/dolfyn-1.0.3 Computational Fluid Dynamics system/octave-benchmark-1.0.1 pts/rnnoise-1.0.2 pts/ai-benchmark-1.0.0 Device Inference Score pts/ai-benchmark-1.0.0 Device Training Score pts/ai-benchmark-1.0.0 Device AI Score pts/mnn-1.0.1 Model: SqueezeNetV1.0 pts/mnn-1.0.1 Model: resnet-v2-50 pts/mnn-1.0.1 Model: MobileNetV2_224 pts/mnn-1.0.1 Model: mobilenet-v1-1.0 pts/mnn-1.0.1 Model: inception-v3 pts/tensorflow-lite-1.0.0 --graph=squeezenet.tflite Model: SqueezeNet pts/tensorflow-lite-1.0.0 --graph=inception_v4.tflite Model: Inception V4 pts/tensorflow-lite-1.0.0 --graph=nasnet_mobile.tflite Model: NASNet Mobile pts/tensorflow-lite-1.0.0 --graph=mobilenet_v1_1.0_224.tflite Model: Mobilenet Float pts/tensorflow-lite-1.0.0 --graph=mobilenet_v1_1.0_224_quant.tflite Model: Mobilenet Quant pts/tensorflow-lite-1.0.0 --graph=inception_resnet_v2.tflite Model: Inception ResNet V2 pts/tnn-1.0.0 -dt NAIVE -mp ../benchmark/benchmark-model/mobilenet_v2.tnnproto Target: CPU - Model: MobileNet v2 pts/tnn-1.0.0 -dt NAIVE -mp ../benchmark/benchmark-model/squeezenet_v1.1.tnnproto Target: CPU - Model: SqueezeNet v1.1 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/caffe-1.5.0 --model=../models/bvlc_googlenet/deploy.prototxt -iterations 100 Model: GoogleNet - Acceleration: CPU - Iterations: 100 pts/caffe-1.5.0 --model=../models/bvlc_googlenet/deploy.prototxt -iterations 200 Model: GoogleNet - Acceleration: CPU - Iterations: 200 pts/ncnn-1.0.3 -1 Target: CPU - Model: squeezenet pts/ncnn-1.0.3 -1 Target: CPU - Model: mobilenet pts/ncnn-1.0.3 -1 Target: CPU-v2-v2 - Model: mobilenet-v2 pts/ncnn-1.0.3 -1 Target: CPU-v3-v3 - Model: mobilenet-v3 pts/ncnn-1.0.3 -1 Target: CPU - Model: shufflenet-v2 pts/ncnn-1.0.3 -1 Target: CPU - Model: mnasnet pts/ncnn-1.0.3 -1 Target: CPU - Model: efficientnet-b0 pts/ncnn-1.0.3 -1 Target: CPU - Model: blazeface pts/ncnn-1.0.3 -1 Target: CPU - Model: googlenet pts/ncnn-1.0.3 -1 Target: CPU - Model: vgg16 pts/ncnn-1.0.3 -1 Target: CPU - Model: resnet18 pts/ncnn-1.0.3 -1 Target: CPU - Model: alexnet pts/ncnn-1.0.3 -1 Target: CPU - Model: resnet50 pts/ncnn-1.0.3 -1 Target: CPU - Model: yolov4-tiny pts/ncnn-1.0.3 Target: Vulkan GPU - Model: squeezenet pts/ncnn-1.0.3 Target: Vulkan GPU - Model: mobilenet pts/ncnn-1.0.3 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 pts/ncnn-1.0.3 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 pts/ncnn-1.0.3 Target: Vulkan GPU - Model: shufflenet-v2 pts/ncnn-1.0.3 Target: Vulkan GPU - Model: mnasnet pts/ncnn-1.0.3 Target: Vulkan GPU - Model: efficientnet-b0 pts/ncnn-1.0.3 Target: Vulkan GPU - Model: blazeface pts/ncnn-1.0.3 Target: Vulkan GPU - Model: googlenet pts/ncnn-1.0.3 Target: Vulkan GPU - Model: vgg16 pts/ncnn-1.0.3 Target: Vulkan GPU - Model: resnet18 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: yolov4-tiny pts/mlpack-1.0.2 SCIKIT_ICA Benchmark: scikit_ica pts/mlpack-1.0.2 SCIKIT_QDA Benchmark: scikit_qda pts/mlpack-1.0.2 SCIKIT_SVM Benchmark: scikit_svm pts/mlpack-1.0.2 SCIKIT_LINEARRIDGEREGRESSION Benchmark: scikit_linearridgeregression pts/gromacs-1.4.0 Water Benchmark pts/lammps-1.2.1 in.rhodo Model: Rhodopsin Protein pts/hpcg-1.2.1 pts/namd-1.2.1 ATPase Simulation - 327,506 Atoms 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/onednn-1.5.0 --ip --batch=inputs/ip/ip_all --cfg=f32 --engine=cpu Harness: IP Batch All - Data Type: f32 - Engine: CPU 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_all --cfg=u8s8f32 --engine=cpu Harness: IP Batch All - 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/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/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/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 --deconv --batch=inputs/deconv/deconv_1d --cfg=u8s8f32 --engine=cpu Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 - Engine: CPU 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/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/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/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/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/ffte-1.2.1 N=256, 3D Complex FFT Routine pts/kripke-1.0.0 pts/mocassin-1.0.0 Input: Dust 2D tau100.0 pts/incompact3d-1.0.0 examples/Cylinder/input.i3d Input: Cylinder system/wireguard-1.0.1 pts/postmark-1.1.2 Disk Transaction Performance pts/build-gdb-1.0.1 Time To Compile pts/build-apache-1.6.1 Time To Compile pts/compress-7zip-1.7.1 Compress Speed Test pts/john-the-ripper-1.7.2 --format=bcrypt Test: Blowfish pts/john-the-ripper-1.7.2 --format=md5crypt Test: MD5 pts/build-llvm-1.2.1 Time To Compile pts/build-php-1.5.1 Time To Compile pts/compress-zstd-1.2.1 -b3 Compression Level: 3 pts/compress-zstd-1.2.1 -b19 Compression Level: 19 pts/build-linux-kernel-1.10.2 Time To Compile 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_1920x1080_120fps_420_8bit_YUV.y4m --preset medium Video Input: Bosphorus 1080p - Video Preset: Medium pts/kvazaar-1.0.0 -i Bosphorus_3840x2160.y4m --preset veryfast Video Input: Bosphorus 4K - Video Preset: Very Fast pts/kvazaar-1.0.0 -i Bosphorus_3840x2160.y4m --preset ultrafast Video Input: Bosphorus 4K - Video Preset: Ultra Fast pts/kvazaar-1.0.0 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset veryfast Video Input: Bosphorus 1080p - Video Preset: Very Fast pts/kvazaar-1.0.0 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset ultrafast Video Input: Bosphorus 1080p - Video Preset: Ultra Fast pts/vpxenc-3.0.0 --cpu-used=0 Speed: Speed 0 pts/vpxenc-3.0.0 --cpu-used=5 Speed: Speed 5 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/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/dav1d-1.6.0 -i chimera_8b_1080p.ivf Video Input: Chimera 1080p 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/dav1d-1.6.0 -i chimera_10b_1080p.ivf Video Input: Chimera 1080p 10-bit 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/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/x265-1.3.0 Bosphorus_3840x2160.y4m Video Input: Bosphorus 4K pts/x265-1.3.0 Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m Video Input: Bosphorus 1080p pts/avifenc-1.0.0 -s 0 Encoder Speed: 0 pts/avifenc-1.0.0 -s 2 Encoder Speed: 2 pts/avifenc-1.0.0 -s 8 Encoder Speed: 8 pts/avifenc-1.0.0 -s 10 Encoder Speed: 10 pts/oidn-1.2.0 -hdr memorial.pfm Scene: Memorial pts/openvkl-1.0.0 vklBenchmark Benchmark: vklBenchmark pts/luxcorerender-1.2.3 DLSC/LuxCoreScene/render.cfg Scene: DLSC pts/luxcorerender-1.2.3 RainbowColorsAndPrism/LuxCoreScene/render.cfg Scene: Rainbow Colors and Prism pts/rays1bench-1.0.0 Large Scene pts/yafaray-1.0.0 Total Time For Sample Scene pts/realsr-ncnn-1.0.0 -s 4 Scale: 4x - TAA: No pts/realsr-ncnn-1.0.0 -s 4 -x Scale: 4x - TAA: Yes pts/waifu2x-ncnn-1.0.0 -s 2 -n 3 Scale: 2x - Denoise: 3 - TAA: No pts/waifu2x-ncnn-1.0.0 -s 2 -n 3 -x Scale: 2x - Denoise: 3 - TAA: Yes pts/blosc-1.0.0 blosclz Compressor: blosclz pts/pyperformance-1.0.2 go Benchmark: go pts/pyperformance-1.0.2 2to3 Benchmark: 2to3 pts/pyperformance-1.0.2 chaos Benchmark: chaos pts/pyperformance-1.0.2 float Benchmark: float pts/pyperformance-1.0.2 nbody Benchmark: nbody pts/pyperformance-1.0.2 pathlib Benchmark: pathlib pts/pyperformance-1.0.2 raytrace Benchmark: raytrace pts/pyperformance-1.0.2 json_loads Benchmark: json_loads pts/pyperformance-1.0.2 crypto_pyaes Benchmark: crypto_pyaes pts/pyperformance-1.0.2 regex_compile Benchmark: regex_compile pts/pyperformance-1.0.2 python_startup Benchmark: python_startup pts/pyperformance-1.0.2 django_template Benchmark: django_template pts/pyperformance-1.0.2 pickle_pure_python Benchmark: pickle_pure_python pts/openssl-1.11.0 RSA 4096-bit Performance pts/keydb-1.2.0 pts/rocksdb-1.0.2 --benchmarks="fillrandom" Test: Random Fill pts/rocksdb-1.0.2 --benchmarks="readrandom" Test: Random Read pts/rocksdb-1.0.2 --benchmarks="fillseq" Test: Sequential Fill pts/rocksdb-1.0.2 --benchmarks="fillsync" Test: Random Fill Sync pts/rocksdb-1.0.2 --benchmarks="readwhilewriting" Test: Read While Writing pts/leveldb-1.0.0 --benchmarks=readhot --num=1000000 Benchmark: Hot Read pts/leveldb-1.0.0 --benchmarks=fillsync --num=1000000 Benchmark: Fill Sync pts/leveldb-1.0.0 --benchmarks=overwrite --num=100000 Benchmark: Overwrite pts/leveldb-1.0.0 --benchmarks=fillrandom --num=100000 Benchmark: Random Fill pts/leveldb-1.0.0 --benchmarks=readrandom --num=1000000 Benchmark: Random Read pts/leveldb-1.0.0 --benchmarks=seekrandom --num=1000000 Benchmark: Seek Random pts/leveldb-1.0.0 --benchmarks=deleterandom --num=500000 Benchmark: Random Delete pts/leveldb-1.0.0 --benchmarks=fillseq --num=500000 Benchmark: Sequential Fill pts/cassandra-1.0.3 WRITE Test: Writes pts/pgbench-1.10.1 -s 1 -c 1 -S Scaling Factor: 1 - Clients: 1 - Mode: Read Only pts/pgbench-1.10.1 -s 1 -c 1 -S Scaling Factor: 1 - Clients: 1 - Mode: Read Only - Average Latency pts/pgbench-1.10.1 -s 1 -c 1 Scaling Factor: 1 - Clients: 1 - Mode: Read Write 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 50 -S Scaling Factor: 1 - Clients: 50 - Mode: Read Only pts/pgbench-1.10.1 -s 1 -c 50 -S Scaling Factor: 1 - Clients: 50 - Mode: Read Only - Average Latency 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/byte-1.2.2 TEST_DHRY2 Computational Test: Dhrystone 2 pts/git-1.1.0 Time To Complete Common Git Commands pts/ior-1.0.0 Write Test pts/ior-1.0.0 Read Test