xeon auggy

Tests for a future article. 2 x Intel Xeon Platinum 8380 testing with a Intel M50CYP2SB2U (SE5C6200.86B.0022.D08.2103221623 BIOS) and ASPEED on Ubuntu 22.10 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 2308065-NE-XEONAUGGY78
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C++ Boost Tests 2 Tests
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Creator Workloads 7 Tests
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Multi-Core 7 Tests
NVIDIA GPU Compute 2 Tests
Intel oneAPI 3 Tests
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August 06 2023
  3 Hours, 24 Minutes
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August 06 2023
  3 Hours, 43 Minutes
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xeon auggy Tests for a future article. 2 x Intel Xeon Platinum 8380 testing with a Intel M50CYP2SB2U (SE5C6200.86B.0022.D08.2103221623 BIOS) and ASPEED on Ubuntu 22.10 via the Phoronix Test Suite. ,,"a","b" Processor,,2 x Intel Xeon Platinum 8380 @ 3.40GHz (80 Cores / 160 Threads),2 x Intel Xeon Platinum 8380 @ 3.40GHz (80 Cores / 160 Threads) Motherboard,,Intel M50CYP2SB2U (SE5C6200.86B.0022.D08.2103221623 BIOS),Intel M50CYP2SB2U (SE5C6200.86B.0022.D08.2103221623 BIOS) Chipset,,Intel Ice Lake IEH,Intel Ice Lake IEH Memory,,512GB,512GB Disk,,7682GB INTEL SSDPF2KX076TZ,7682GB INTEL SSDPF2KX076TZ Graphics,,ASPEED,ASPEED Monitor,,VE228,VE228 Network,,2 x Intel X710 for 10GBASE-T + 2 x Intel E810-C for QSFP,2 x Intel X710 for 10GBASE-T + 2 x Intel E810-C for QSFP OS,,Ubuntu 22.10,Ubuntu 22.10 Kernel,,6.2.0-rc5-phx-dodt (x86_64),6.2.0-rc5-phx-dodt (x86_64) Desktop,,GNOME Shell 43.0,GNOME Shell 43.0 Display Server,,X Server 1.21.1.3,X Server 1.21.1.3 Vulkan,,1.3.224,1.3.224 Compiler,,GCC 12.2.0,GCC 12.2.0 File-System,,ext4,ext4 Screen Resolution,,1920x1080,1920x1080 ,,"a","b" "libxsmm - M N K: 128 (GFLOPS/s)",HIB,1055.3,1946.7 "libxsmm - M N K: 256 (GFLOPS/s)",HIB,599.8,592.5 "libxsmm - M N K: 32 (GFLOPS/s)",HIB,633.2,639.3 "libxsmm - M N K: 64 (GFLOPS/s)",HIB,1219.9,1216.0 "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: FFTW - Precision: float - X Y Z: 128 (GFLOP/s)",HIB,159.344,158.711 "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: FFTW - Precision: float - X Y Z: 256 (GFLOP/s)",HIB,102.278,98.8315 "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: FFTW - Precision: float - X Y Z: 128 (GFLOP/s)",HIB,199.103,199.333 "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: FFTW - Precision: float - X Y Z: 256 (GFLOP/s)",HIB,222.215,230.541 "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: FFTW - Precision: double - X Y Z: 128 (GFLOP/s)",HIB,94.4544,91.9039 "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: FFTW - Precision: double - X Y Z: 256 (GFLOP/s)",HIB,45.8509,46.4607 "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: Stock - Precision: float - X Y Z: 128 (GFLOP/s)",HIB,107.452,107.952 "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: Stock - Precision: float - X Y Z: 256 (GFLOP/s)",HIB,101.8,104.345 "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: FFTW - Precision: double - X Y Z: 128 (GFLOP/s)",HIB,156.224,148.177 "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: FFTW - Precision: double - X Y Z: 256 (GFLOP/s)",HIB,93.0098,92.8161 "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: Stock - Precision: float - X Y Z: 128 (GFLOP/s)",HIB,185.453,182.03 "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: Stock - Precision: float - X Y Z: 256 (GFLOP/s)",HIB,236.666,236.119 "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: Stock - Precision: double - X Y Z: 128 (GFLOP/s)",HIB,69.4816,67.9483 "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: Stock - Precision: double - X Y Z: 256 (GFLOP/s)",HIB,46.6636,46.5052 "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: Stock - Precision: double - X Y Z: 128 (GFLOP/s)",HIB,117.006,116.839 "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: Stock - Precision: double - X Y Z: 256 (GFLOP/s)",HIB,101.938,102.426 "Remhos - Test: Sample Remap Example (sec)",LIB,12.195,12.365 "dav1d - Video Input: Chimera 1080p (FPS)",HIB,516.17,516.50 "dav1d - Video Input: Summer Nature 4K (FPS)",HIB,282.53,282.65 "dav1d - Video Input: Summer Nature 1080p (FPS)",HIB,699.97,699.09 "dav1d - Video Input: Chimera 1080p 10-bit (FPS)",HIB,476.82,476.77 "Embree - Binary: Pathtracer - Model: Crown (FPS)",HIB,72.0419,70.7905 "Embree - Binary: Pathtracer ISPC - Model: Crown (FPS)",HIB,87.9306,87.9319 "Intel Open Image Denoise - Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only (Images / Sec)",HIB,3.04,3.01 "Intel Open Image Denoise - Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only (Images / Sec)",HIB,3.05,3.03 "Intel Open Image Denoise - Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only (Images / Sec)",HIB,1.47,1.46 "OSPRay - Benchmark: particle_volume/ao/real_time (Items/sec)",HIB,24.637,24.6207 "OSPRay - Benchmark: particle_volume/scivis/real_time (Items/sec)",HIB,24.3592,24.7827 "OSPRay - Benchmark: particle_volume/pathtracer/real_time (Items/sec)",HIB,151.138,151.273 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/ao/real_time (Items/sec)",HIB,21.2056,20.9459 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/scivis/real_time (Items/sec)",HIB,20.811,20.4818 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time (Items/sec)",HIB,22.6977,22.5752 "Timed GCC Compilation - Time To Compile (sec)",LIB,957.946,956.127 "Opus Codec Encoding - WAV To Opus Encode (sec)",LIB,36.736,36.726 "Liquid-DSP - Threads: 32 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,992540000,993445000 "Liquid-DSP - Threads: 32 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,1197700000,1185500000 "Liquid-DSP - Threads: 64 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,1805000000,1825450000 "Liquid-DSP - Threads: 64 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,2069200000,2076650000 "Liquid-DSP - Threads: 128 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,2961100000,2945150000 "Liquid-DSP - Threads: 128 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,2519200000,2426350000 "Liquid-DSP - Threads: 160 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,3390700000,3381950000 "Liquid-DSP - Threads: 160 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,2602300000,2636450000 "Liquid-DSP - Threads: 32 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,400730000,396265000 "Liquid-DSP - Threads: 64 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,725840000,730310000 "Liquid-DSP - Threads: 128 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,949400000,945190000 "Liquid-DSP - Threads: 160 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,1013200000,1011200000 "Apache CouchDB - Bulk Size: 100 - Inserts: 1000 - Rounds: 30 (sec)",LIB,94.834, "Apache CouchDB - Bulk Size: 300 - Inserts: 1000 - Rounds: 30 (sec)",LIB,152.456, "Apache CouchDB - Bulk Size: 500 - Inserts: 1000 - Rounds: 30 (sec)",LIB,1090.424, "Apache IoTDB - Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 200 ()",,, "Apache IoTDB - Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 500 ()",,, "Apache IoTDB - Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 200 ()",,, "Apache IoTDB - Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 500 ()",,, "Apache IoTDB - Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 200 ()",,, "Apache IoTDB - Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 500 ()",,, "Apache IoTDB - Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 200 ()",,, "Apache IoTDB - Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 500 ()",,, "QuantLib - (MFLOPS)",HIB,2622.9,2607.6 "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: FFTW - Precision: float - X Y Z: 512 (GFLOP/s)",HIB,94.8348,94.3442 "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: FFTW - Precision: float - X Y Z: 512 (GFLOP/s)",HIB,170.906,171.134 "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: FFTW - Precision: double - X Y Z: 512 (GFLOP/s)",HIB,49.4363,48.7210 "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: Stock - Precision: float - X Y Z: 512 (GFLOP/s)",HIB,93.3349,92.2568 "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: FFTW - Precision: double - X Y Z: 512 (GFLOP/s)",HIB,90.5745,90.2388 "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: Stock - Precision: float - X Y Z: 512 (GFLOP/s)",HIB,176.630,174.114 "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: Stock - Precision: double - X Y Z: 512 (GFLOP/s)",HIB,47.2801,47.3856 "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: Stock - Precision: double - X Y Z: 512 (GFLOP/s)",HIB,94.2637,92.7173 "Z3 Theorem Prover - SMT File: 1.smt2 (sec)",LIB,25.713,25.251 "Z3 Theorem Prover - SMT File: 2.smt2 (sec)",LIB,87.998,87.178 "srsRAN Project - Test: Downlink Processor Benchmark (Mbps)",HIB,556.5,556.8 "srsRAN Project - Test: PUSCH Processor Benchmark, Throughput Total (Mbps)",HIB,9800.5,9756.7 "srsRAN Project - Test: PUSCH Processor Benchmark, Throughput Thread (Mbps)",HIB,164.8,164.7 "Embree - Binary: Pathtracer - Model: Asian Dragon (FPS)",HIB,85.2423,85.1315 "Embree - Binary: Pathtracer - Model: Asian Dragon Obj (FPS)",HIB,76.9608,77.2633 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon (FPS)",HIB,104.4148,104.5539 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon Obj (FPS)",HIB,89.8447,90.0132 "VVenC - Video Input: Bosphorus 4K - Video Preset: Fast (FPS)",HIB,5.672,5.717 "VVenC - Video Input: Bosphorus 4K - Video Preset: Faster (FPS)",HIB,10.284,10.430 "VVenC - Video Input: Bosphorus 1080p - Video Preset: Fast (FPS)",HIB,15.708,15.723 "VVenC - Video Input: Bosphorus 1080p - Video Preset: Faster (FPS)",HIB,29.077,29.176 "Liquid-DSP - Threads: 1 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,32338000,32267000 "Liquid-DSP - Threads: 1 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,53918500,53926500 "Liquid-DSP - Threads: 1 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,13323000,13291000 "Liquid-DSP - Threads: 16 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,493660000,498410000 "Liquid-DSP - Threads: 16 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,615105000,623535000 "Liquid-DSP - Threads: 16 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,201615000,198790000 "Dragonflydb - Clients Per Thread: 10 - Set To Get Ratio: 1:5 ()",,, "Dragonflydb - Clients Per Thread: 20 - Set To Get Ratio: 1:5 ()",,, "Dragonflydb - Clients Per Thread: 50 - Set To Get Ratio: 1:5 ()",,, "Dragonflydb - Clients Per Thread: 60 - Set To Get Ratio: 1:5 ()",,, "Dragonflydb - Clients Per Thread: 10 - Set To Get Ratio: 1:10 ()",,, "Dragonflydb - Clients Per Thread: 20 - Set To Get Ratio: 1:10 ()",,, "Dragonflydb - Clients Per Thread: 50 - Set To Get Ratio: 1:10 ()",,, "Dragonflydb - Clients Per Thread: 60 - Set To Get Ratio: 1:10 ()",,, "Dragonflydb - Clients Per Thread: 10 - Set To Get Ratio: 1:100 ()",,, "Dragonflydb - Clients Per Thread: 20 - Set To Get Ratio: 1:100 ()",,, "Dragonflydb - Clients Per Thread: 50 - Set To Get Ratio: 1:100 ()",,, "Dragonflydb - Clients Per Thread: 60 - Set To Get Ratio: 1:100 ()",,, "Stress-NG - Test: Pipe (Bogo Ops/s)",HIB,40500166.81,49325396.97 "Stress-NG - Test: Zlib (Bogo Ops/s)",HIB,6879.86,6880.22 "Stress-NG - Test: Cloning (Bogo Ops/s)",HIB,16195.03,13172.81 "Stress-NG - Test: Pthread (Bogo Ops/s)",HIB,92131.54,90361.7 "Stress-NG - Test: AVL Tree (Bogo Ops/s)",HIB,610.69,610.83 "Stress-NG - Test: Floating Point (Bogo Ops/s)",HIB,21134.81,21133.02 "Stress-NG - Test: Matrix 3D Math (Bogo Ops/s)",HIB,12743.81,12742.70 "Stress-NG - Test: Vector Shuffle (Bogo Ops/s)",HIB,48054.48,48076.78 "Stress-NG - Test: Wide Vector Math (Bogo Ops/s)",HIB,2195391.41,2196242.21 "Stress-NG - Test: Fused Multiply-Add (Bogo Ops/s)",HIB,181083180.47,181314757.42 "Stress-NG - Test: Vector Floating Point (Bogo Ops/s)",HIB,132479.08,131100.25 "GPAW - Input: Carbon Nanotube (sec)",LIB,45.824,45.636 "NCNN - Target: CPU - Model: mobilenet (ms)",LIB,16.06,15.90 "NCNN - Target: CPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,7.91,7.94 "NCNN - Target: CPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,8.71,8.77 "NCNN - Target: CPU - Model: shufflenet-v2 (ms)",LIB,9.82,9.75 "NCNN - Target: CPU - Model: mnasnet (ms)",LIB,7.61,7.43 "NCNN - Target: CPU - Model: efficientnet-b0 (ms)",LIB,11.48,11.64 "NCNN - Target: CPU - Model: blazeface (ms)",LIB,4.49,4.61 "NCNN - Target: CPU - Model: googlenet (ms)",LIB,17.06,16.72 "NCNN - Target: CPU - Model: vgg16 (ms)",LIB,26.27,26.19 "NCNN - Target: CPU - Model: resnet18 (ms)",LIB,10.31,9.63 "NCNN - Target: CPU - Model: alexnet (ms)",LIB,5.65,5.44 "NCNN - Target: CPU - Model: resnet50 (ms)",LIB,17.57,18.15 "NCNN - Target: CPU - Model: yolov4-tiny (ms)",LIB,24.77,24.48 "NCNN - Target: CPU - Model: squeezenet_ssd (ms)",LIB,15.78,16.13 "NCNN - Target: CPU - Model: regnety_400m (ms)",LIB,38.20,39.37 "NCNN - Target: CPU - Model: vision_transformer (ms)",LIB,46.50,45.56 "NCNN - Target: CPU - Model: FastestDet (ms)",LIB,9.62,10.01 "Blender - Blend File: BMW27 - Compute: CPU-Only (sec)",LIB,23.69,23.62 "Blender - Blend File: Classroom - Compute: CPU-Only (sec)",LIB,62.35,62.51 "Blender - Blend File: Fishy Cat - Compute: CPU-Only (sec)",LIB,30.59,30.77 "Blender - Blend File: Barbershop - Compute: CPU-Only (sec)",LIB,239.55,239.03 "Apache IoTDB - Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 200 (point/sec)",HIB,638644.35,628202.55 "Apache IoTDB - Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 200 (Latency)",LIB,17.54,18.04 "Apache IoTDB - Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 500 (point/sec)",HIB,995259.68,992909.69 "Apache IoTDB - Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 500 (Latency)",LIB,35.99,36.16 "Apache IoTDB - Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 200 (point/sec)",HIB,904320.6,920435.77 "Apache IoTDB - Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 200 (Latency)",LIB,14.84,14.42 "Apache IoTDB - Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 500 (point/sec)",HIB,1134736.54,1137612.61 "Apache IoTDB - Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 500 (Latency)",LIB,36.74,36.82 "Apache IoTDB - Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 200 (point/sec)",HIB,1199743.22,1141859.25 "Apache IoTDB - Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 200 (Latency)",LIB,13.25,14.12 "Apache IoTDB - Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 500 (point/sec)",HIB,1343156.56,1372429.58 "Apache IoTDB - Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 500 (Latency)",LIB,33.38,32.75 "Apache IoTDB - Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 200 (point/sec)",HIB,34266143.85,34807016.85 "Apache IoTDB - Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 200 (Latency)",LIB,42.79,42.19 "Apache IoTDB - Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 500 (point/sec)",HIB,39562245.22,43021501.4 "Apache IoTDB - Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 500 (Latency)",LIB,109.4,96.18