Xeon E5 1680 v3 Xmas

Intel Xeon E5-1680 v3 testing with a ASUS X99-A (3902 BIOS) and eVGA NVIDIA NVE7 1GB on Ubuntu 20.04 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 2012271-HA-XEONE516824
Jump To Table - Results

View

Do Not Show Noisy Results
Do Not Show Results With Incomplete Data
Do Not Show Results With Little Change/Spread
List Notable Results
Show Result Confidence Charts

Limit displaying results to tests within:

Audio Encoding 4 Tests
Bioinformatics 2 Tests
BLAS (Basic Linear Algebra Sub-Routine) Tests 2 Tests
Chess Test Suite 4 Tests
Timed Code Compilation 3 Tests
C/C++ Compiler Tests 13 Tests
CPU Massive 19 Tests
Creator Workloads 17 Tests
Database Test Suite 4 Tests
Encoding 7 Tests
Fortran Tests 3 Tests
Game Development 2 Tests
HPC - High Performance Computing 15 Tests
Machine Learning 9 Tests
Molecular Dynamics 3 Tests
MPI Benchmarks 2 Tests
Multi-Core 16 Tests
NVIDIA GPU Compute 5 Tests
Intel oneAPI 3 Tests
OpenMPI Tests 2 Tests
Programmer / Developer System Benchmarks 5 Tests
Python 2 Tests
Scientific Computing 6 Tests
Server 6 Tests
Server CPU Tests 7 Tests
Single-Threaded 7 Tests
Speech 2 Tests
Telephony 2 Tests
Texture Compression 2 Tests
Video Encoding 3 Tests
Common Workstation Benchmarks 2 Tests

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
Show Geometric Means Per-Suite/Category
Show Wins / Losses Counts (Pie Chart)
Normalize Results
Remove Outliers Before Calculating Averages

Graph Settings

Force Line Graphs Where Applicable
Convert To Scalar Where Applicable
Prefer Vertical Bar Graphs

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Hide
Result
Result
Identifier
View Logs
Performance Per
Dollar
Date
Run
  Test
  Duration
1
December 26 2020
  9 Hours, 34 Minutes
2
December 26 2020
  9 Hours, 50 Minutes
3
December 27 2020
  9 Hours, 58 Minutes
Invert Hiding All Results Option
  9 Hours, 47 Minutes

Only show results where is faster than
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):


Xeon E5 1680 v3 Xmas Suite 1.0.0 System Test suite extracted from Xeon E5 1680 v3 Xmas. pts/compilebench-1.0.3 COMPILE Test: Compile pts/compilebench-1.0.3 INITIAL_CREATE Test: Initial Create pts/compilebench-1.0.3 READ_COMPILED_TREE Test: Read Compiled Tree pts/yquake2-1.0.1 +set vid_renderer soft +set r_mode 21 Renderer: Software CPU - Resolution: 1920 x 1080 pts/sockperf-1.0.1 throughput Test: Throughput pts/sockperf-1.0.1 ping-pong Test: Latency Ping Pong pts/sockperf-1.0.1 under-load Test: Latency Under Load pts/lczero-1.5.1 -b blas Backend: BLAS pts/lczero-1.5.1 -b eigen Backend: Eigen pts/clomp-1.1.1 Static OMP Speedup pts/dolfyn-1.0.3 Computational Fluid Dynamics pts/ffte-1.2.1 N=256, 3D Complex FFT Routine pts/hmmer-1.2.2 Pfam Database Search pts/mafft-1.6.2 Multiple Sequence Alignment - LSU RNA pts/lammps-1.3.0 in.rhodo Model: Rhodopsin Protein pts/byte-1.2.2 TEST_DHRY2 Computational Test: Dhrystone 2 pts/compress-lz4-1.0.0 -b1 -e1 Compression Level: 1 - Compression Speed pts/compress-lz4-1.0.0 -b1 -e1 Compression Level: 1 - Decompression Speed pts/compress-lz4-1.0.0 -b3 -e3 Compression Level: 3 - Compression Speed pts/compress-lz4-1.0.0 -b3 -e3 Compression Level: 3 - Decompression Speed pts/compress-lz4-1.0.0 -b9 -e9 Compression Level: 9 - Compression Speed pts/compress-lz4-1.0.0 -b9 -e9 Compression Level: 9 - Decompression Speed pts/crafty-1.4.5 Elapsed Time pts/graphics-magick-2.0.2 -swirl 90 Operation: Swirl pts/graphics-magick-2.0.2 -rotate 90 Operation: Rotate pts/graphics-magick-2.0.2 -sharpen 0x2.0 Operation: Sharpen pts/graphics-magick-2.0.2 -enhance Operation: Enhanced pts/graphics-magick-2.0.2 -resize 50% Operation: Resizing pts/graphics-magick-2.0.2 -operator all Noise-Gaussian 30% Operation: Noise-Gaussian pts/graphics-magick-2.0.2 -colorspace HWB Operation: HWB Color Space pts/onednn-1.6.1 --ip --batch=inputs/ip/shapes_1d --cfg=f32 --engine=cpu Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU pts/onednn-1.6.1 --ip --batch=inputs/ip/shapes_3d --cfg=f32 --engine=cpu Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU pts/onednn-1.6.1 --ip --batch=inputs/ip/shapes_1d --cfg=u8s8f32 --engine=cpu Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU pts/onednn-1.6.1 --ip --batch=inputs/ip/shapes_3d --cfg=u8s8f32 --engine=cpu Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU pts/onednn-1.6.1 --conv --batch=inputs/conv/shapes_auto --cfg=f32 --engine=cpu Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU pts/onednn-1.6.1 --deconv --batch=inputs/deconv/shapes_1d --cfg=f32 --engine=cpu Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU pts/onednn-1.6.1 --deconv --batch=inputs/deconv/shapes_3d --cfg=f32 --engine=cpu Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU pts/onednn-1.6.1 --conv --batch=inputs/conv/shapes_auto --cfg=u8s8f32 --engine=cpu Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU pts/onednn-1.6.1 --deconv --batch=inputs/deconv/shapes_1d --cfg=u8s8f32 --engine=cpu Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU pts/onednn-1.6.1 --deconv --batch=inputs/deconv/shapes_3d --cfg=u8s8f32 --engine=cpu Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU pts/onednn-1.6.1 --rnn --batch=inputs/rnn/perf_rnn_training --cfg=f32 --engine=cpu Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU pts/onednn-1.6.1 --rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=f32 --engine=cpu Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU pts/onednn-1.6.1 --rnn --batch=inputs/rnn/perf_rnn_training --cfg=u8s8f32 --engine=cpu Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU pts/onednn-1.6.1 --rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=u8s8f32 --engine=cpu Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU pts/onednn-1.6.1 --matmul --batch=inputs/matmul/shapes_transformer --cfg=f32 --engine=cpu Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU pts/onednn-1.6.1 --rnn --batch=inputs/rnn/perf_rnn_training --cfg=bf16bf16bf16 --engine=cpu Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU pts/onednn-1.6.1 --rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=bf16bf16bf16 --engine=cpu Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU pts/onednn-1.6.1 --matmul --batch=inputs/matmul/shapes_transformer --cfg=u8s8f32 --engine=cpu Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU pts/embree-1.1.1 pathtracer -c crown/crown.ecs Binary: Pathtracer - Model: Crown pts/embree-1.1.1 pathtracer_ispc -c crown/crown.ecs Binary: Pathtracer ISPC - Model: Crown pts/embree-1.1.1 pathtracer -c asian_dragon/asian_dragon.ecs Binary: Pathtracer - Model: Asian Dragon pts/embree-1.1.1 pathtracer -c asian_dragon_obj/asian_dragon.ecs Binary: Pathtracer - Model: Asian Dragon Obj pts/embree-1.1.1 pathtracer_ispc -c asian_dragon/asian_dragon.ecs Binary: Pathtracer ISPC - Model: Asian Dragon pts/embree-1.1.1 pathtracer_ispc -c asian_dragon_obj/asian_dragon.ecs Binary: Pathtracer ISPC - Model: Asian Dragon Obj 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/rav1e-1.4.0 -s 1 -l 20 Speed: 1 pts/rav1e-1.4.0 -s 5 -l 60 Speed: 5 pts/rav1e-1.4.0 -s 6 -l 60 Speed: 6 pts/rav1e-1.4.0 -s 10 -l 90 Speed: 10 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/coremark-1.0.1 CoreMark Size 666 - Iterations Per Second pts/stockfish-1.2.0 Total Time pts/asmfish-1.1.2 1024 Hash Memory, 26 Depth pts/build-ffmpeg-1.0.2 Time To Compile pts/build2-1.1.0 Time To Compile pts/numpy-1.2.1 pts/build-eigen-1.1.0 Time To Compile pts/encode-ape-1.4.0 WAV To APE pts/encode-ogg-1.6.1 WAV To Ogg pts/encode-opus-1.1.1 WAV To Opus Encode pts/espeak-1.6.1 Text-To-Speech Synthesis pts/rnnoise-1.0.2 pts/node-web-tooling-1.0.0 pts/couchdb-1.0.1 100 1000 24 Bulk Size: 100 - Inserts: 1000 - Rounds: 24 pts/keydb-1.2.0 pts/gromacs-1.4.1 Water Benchmark pts/astcenc-1.0.2 -fast Preset: Fast pts/astcenc-1.0.2 -medium Preset: Medium pts/astcenc-1.0.2 -thorough Preset: Thorough pts/astcenc-1.0.2 -exhaustive Preset: Exhaustive pts/basis-1.0.2 Settings: ETC1S pts/basis-1.0.2 -uastc -uastc_level 0 Settings: UASTC Level 0 pts/basis-1.0.2 -uastc -uastc_level 2 Settings: UASTC Level 2 pts/basis-1.0.2 -uastc -uastc_level 3 Settings: UASTC Level 3 pts/sqlite-speedtest-1.0.1 Timed Time - Size 1,000 pts/redis-1.3.0 -t lpop Test: LPOP pts/redis-1.3.0 -t sadd Test: SADD pts/redis-1.3.0 -t lpush Test: LPUSH pts/redis-1.3.0 -t get Test: GET pts/redis-1.3.0 -t set Test: SET 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-1.1.0 -1 Target: CPU - Model: mobilenet pts/ncnn-1.1.0 -1 Target: CPU-v2-v2 - Model: mobilenet-v2 pts/ncnn-1.1.0 -1 Target: CPU-v3-v3 - Model: mobilenet-v3 pts/ncnn-1.1.0 -1 Target: CPU - Model: shufflenet-v2 pts/ncnn-1.1.0 -1 Target: CPU - Model: mnasnet pts/ncnn-1.1.0 -1 Target: CPU - Model: efficientnet-b0 pts/ncnn-1.1.0 -1 Target: CPU - Model: blazeface pts/ncnn-1.1.0 -1 Target: CPU - Model: googlenet pts/ncnn-1.1.0 -1 Target: CPU - Model: vgg16 pts/ncnn-1.1.0 -1 Target: CPU - Model: resnet18 pts/ncnn-1.1.0 -1 Target: CPU - Model: alexnet pts/ncnn-1.1.0 -1 Target: CPU - Model: resnet50 pts/ncnn-1.1.0 -1 Target: CPU - Model: yolov4-tiny pts/ncnn-1.1.0 -1 Target: CPU - Model: squeezenet_ssd pts/ncnn-1.1.0 -1 Target: CPU - Model: regnety_400m pts/openvino-1.0.4 -m models/intel/face-detection-0106/FP16/face-detection-0106.xml -d CPU Model: Face Detection 0106 FP16 - Device: CPU pts/openvino-1.0.4 -m models/intel/face-detection-0106/FP32/face-detection-0106.xml -d CPU Model: Face Detection 0106 FP32 - Device: CPU pts/openvino-1.0.4 -m models/intel/person-detection-0106/FP16/person-detection-0106.xml -d CPU Model: Person Detection 0106 FP16 - Device: CPU pts/openvino-1.0.4 -m models/intel/person-detection-0106/FP32/person-detection-0106.xml -d CPU Model: Person Detection 0106 FP32 - Device: CPU pts/openvino-1.0.4 -m models/intel/age-gender-recognition-retail-0013/FP16/age-gender-recognition-retail-0013.xml -d CPU Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU pts/openvino-1.0.4 -m models/intel/age-gender-recognition-retail-0013/FP32/age-gender-recognition-retail-0013.xml -d CPU Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU pts/indigobench-1.1.0 --cpuonly --scenes bedroom Acceleration: CPU - Scene: Bedroom pts/indigobench-1.1.0 --cpuonly --scenes supercar Acceleration: CPU - Scene: Supercar pts/hint-1.0.3 FLOAT Test: FLOAT pts/ai-benchmark-1.0.1 Device Inference Score pts/ai-benchmark-1.0.1 Device Training Score pts/ai-benchmark-1.0.1 Device AI Score pts/phpbench-1.1.6 PHP Benchmark Suite pts/encode-wavpack-1.4.1 WAV To WavPack 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/unpack-firefox-1.0.0 Extracting: firefox-84.0.source.tar.xz pts/brl-cad-1.1.2 VGR Performance Metric