Intel Xeon E5-2687W v3 testing with a MSI X99S SLI PLUS (MS-7885) v1.0 (1.E0 BIOS) and NVIDIA GeForce GTX 770 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 2101287-HA-HASWELL2015
Haswell 2021
Intel Xeon E5-2687W v3 testing with a MSI X99S SLI PLUS (MS-7885) v1.0 (1.E0 BIOS) and NVIDIA GeForce GTX 770 on Ubuntu 20.04 via the Phoronix Test Suite.
1:
Processor: Intel Xeon E5-2687W v3 @ 3.50GHz (10 Cores / 20 Threads), Motherboard: MSI X99S SLI PLUS (MS-7885) v1.0 (1.E0 BIOS), Chipset: Intel Xeon E7 v3/Xeon, Memory: 32GB, Disk: 80GB INTEL SSDSCKGW08, Graphics: NVIDIA GeForce GTX 770, Audio: Realtek ALC892, Monitor: LG Ultra HD, Network: Intel I218-V
OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc7daily20200928-generic (x86_64) 20200927, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 3840x2160
2:
Processor: Intel Xeon E5-2687W v3 @ 3.50GHz (10 Cores / 20 Threads), Motherboard: MSI X99S SLI PLUS (MS-7885) v1.0 (1.E0 BIOS), Chipset: Intel Xeon E7 v3/Xeon, Memory: 32GB, Disk: 80GB INTEL SSDSCKGW08, Graphics: NVIDIA GeForce GTX 770, Audio: Realtek ALC892, Monitor: LG Ultra HD, Network: Intel I218-V
OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc7daily20200928-generic (x86_64) 20200927, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 3840x2160
3:
Processor: Intel Xeon E5-2687W v3 @ 3.50GHz (10 Cores / 20 Threads), Motherboard: MSI X99S SLI PLUS (MS-7885) v1.0 (1.E0 BIOS), Chipset: Intel Xeon E7 v3/Xeon, Memory: 32GB, Disk: 80GB INTEL SSDSCKGW08, Graphics: NVIDIA GeForce GTX 770, Audio: Realtek ALC892, Monitor: LG Ultra HD, Network: Intel I218-V
OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc7daily20200928-generic (x86_64) 20200927, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 3840x2160
CLOMP 1.2
Static OMP Speedup
Speedup > Higher Is Better
1 . 13.2 |=====================================================================
2 . 11.0 |==========================================================
3 . 13.0 |====================================================================
Cryptsetup
PBKDF2-sha512
Iterations Per Second > Higher Is Better
1 . 1328993 |==================================================================
2 . 1330118 |==================================================================
3 . 1328993 |==================================================================
Cryptsetup
PBKDF2-whirlpool
Iterations Per Second > Higher Is Better
1 . 530142 |===================================================================
2 . 532814 |===================================================================
3 . 532634 |===================================================================
Cryptsetup
AES-XTS 256b Encryption
MiB/s > Higher Is Better
1 . 1702.3 |===================================================================
2 . 1708.5 |===================================================================
3 . 1714.4 |===================================================================
Cryptsetup
AES-XTS 256b Decryption
MiB/s > Higher Is Better
1 . 1697.2 |==================================================================
2 . 1702.6 |===================================================================
3 . 1710.6 |===================================================================
Cryptsetup
Serpent-XTS 256b Encryption
MiB/s > Higher Is Better
1 . 549.0 |====================================================================
2 . 550.3 |====================================================================
3 . 551.4 |====================================================================
Cryptsetup
Serpent-XTS 256b Decryption
MiB/s > Higher Is Better
1 . 532.9 |====================================================================
2 . 531.5 |====================================================================
3 . 533.5 |====================================================================
Cryptsetup
Twofish-XTS 256b Encryption
MiB/s > Higher Is Better
1 . 344.4 |====================================================================
2 . 345.4 |====================================================================
3 . 346.2 |====================================================================
Cryptsetup
Twofish-XTS 256b Decryption
MiB/s > Higher Is Better
1 . 346.8 |====================================================================
2 . 345.8 |====================================================================
3 . 346.9 |====================================================================
Cryptsetup
AES-XTS 512b Encryption
MiB/s > Higher Is Better
1 . 1400.2 |===================================================================
2 . 1401.7 |===================================================================
3 . 1404.2 |===================================================================
Cryptsetup
AES-XTS 512b Decryption
MiB/s > Higher Is Better
1 . 1389.6 |===================================================================
2 . 1393.0 |===================================================================
3 . 1394.3 |===================================================================
Cryptsetup
Serpent-XTS 512b Encryption
MiB/s > Higher Is Better
1 . 550.7 |====================================================================
2 . 551.2 |====================================================================
3 . 551.7 |====================================================================
Cryptsetup
Serpent-XTS 512b Decryption
MiB/s > Higher Is Better
1 . 533.7 |====================================================================
2 . 533.3 |====================================================================
3 . 532.6 |====================================================================
Cryptsetup
Twofish-XTS 512b Encryption
MiB/s > Higher Is Better
1 . 345.6 |====================================================================
2 . 345.7 |====================================================================
3 . 345.6 |====================================================================
Cryptsetup
Twofish-XTS 512b Decryption
MiB/s > Higher Is Better
1 . 346.4 |====================================================================
2 . 346.8 |====================================================================
3 . 345.7 |====================================================================
lzbench 1.8
Test: XZ 0 - Process: Compression
MB/s > Higher Is Better
1 . 34 |=======================================================================
2 . 34 |=======================================================================
3 . 34 |=======================================================================
lzbench 1.8
Test: XZ 0 - Process: Decompression
MB/s > Higher Is Better
1 . 96 |=======================================================================
2 . 96 |=======================================================================
3 . 96 |=======================================================================
lzbench 1.8
Test: Zstd 1 - Process: Compression
MB/s > Higher Is Better
1 . 401 |======================================================================
2 . 401 |======================================================================
3 . 400 |======================================================================
lzbench 1.8
Test: Zstd 1 - Process: Decompression
MB/s > Higher Is Better
1 . 1390 |=====================================================================
2 . 1389 |=====================================================================
3 . 1386 |=====================================================================
lzbench 1.8
Test: Zstd 8 - Process: Compression
MB/s > Higher Is Better
1 . 65 |=======================================================================
2 . 65 |=======================================================================
3 . 65 |=======================================================================
lzbench 1.8
Test: Zstd 8 - Process: Decompression
MB/s > Higher Is Better
1 . 1423 |=====================================================================
2 . 1413 |=====================================================================
3 . 1396 |====================================================================
lzbench 1.8
Test: Crush 0 - Process: Compression
MB/s > Higher Is Better
1 . 76 |=======================================================================
2 . 76 |=======================================================================
3 . 76 |=======================================================================
lzbench 1.8
Test: Crush 0 - Process: Decompression
MB/s > Higher Is Better
1 . 431 |======================================================================
2 . 432 |======================================================================
3 . 431 |======================================================================
lzbench 1.8
Test: Brotli 0 - Process: Compression
MB/s > Higher Is Better
1 . 356 |======================================================================
2 . 356 |======================================================================
3 . 357 |======================================================================
lzbench 1.8
Test: Brotli 0 - Process: Decompression
MB/s > Higher Is Better
1 . 503 |======================================================================
2 . 506 |======================================================================
3 . 505 |======================================================================
lzbench 1.8
Test: Brotli 2 - Process: Compression
MB/s > Higher Is Better
1 . 148 |======================================================================
2 . 148 |======================================================================
3 . 148 |======================================================================
lzbench 1.8
Test: Brotli 2 - Process: Decompression
MB/s > Higher Is Better
1 . 581 |======================================================================
2 . 585 |======================================================================
3 . 582 |======================================================================
lzbench 1.8
Test: Libdeflate 1 - Process: Compression
MB/s > Higher Is Better
1 . 182 |======================================================================
2 . 182 |======================================================================
3 . 182 |======================================================================
lzbench 1.8
Test: Libdeflate 1 - Process: Decompression
MB/s > Higher Is Better
1 . 995 |======================================================================
2 . 994 |======================================================================
3 . 995 |======================================================================
Opus Codec Encoding 1.3.1
WAV To Opus Encode
Seconds < Lower Is Better
1 . 10.69 |===================================================================
2 . 10.62 |===================================================================
3 . 10.80 |====================================================================
WavPack Audio Encoding 5.3
WAV To WavPack
Seconds < Lower Is Better
1 . 17.40 |====================================================================
2 . 17.32 |====================================================================
3 . 17.33 |====================================================================
Etcpak 0.7
Configuration: DXT1
Mpx/s > Higher Is Better
1 . 1083.86 |==================================================================
2 . 1080.55 |==================================================================
3 . 1084.33 |==================================================================
Etcpak 0.7
Configuration: ETC1
Mpx/s > Higher Is Better
1 . 235.54 |===================================================================
2 . 235.97 |===================================================================
3 . 236.45 |===================================================================
Etcpak 0.7
Configuration: ETC2
Mpx/s > Higher Is Better
1 . 140.73 |===================================================================
2 . 140.32 |===================================================================
3 . 140.21 |===================================================================
Etcpak 0.7
Configuration: ETC1 + Dithering
Mpx/s > Higher Is Better
1 . 226.75 |===================================================================
2 . 227.14 |===================================================================
3 . 227.06 |===================================================================
WebP2 Image Encode 20210126
Encode Settings: Default
Seconds < Lower Is Better
1 . 5.677 |===================================================================
2 . 5.664 |===================================================================
3 . 5.756 |====================================================================
WebP2 Image Encode 20210126
Encode Settings: Quality 75, Compression Effort 7
Seconds < Lower Is Better
1 . 298.92 |===================================================================
2 . 298.25 |===================================================================
3 . 298.54 |===================================================================
WebP2 Image Encode 20210126
Encode Settings: Quality 95, Compression Effort 7
Seconds < Lower Is Better
1 . 545.96 |===================================================================
2 . 545.66 |===================================================================
3 . 544.66 |===================================================================
WebP2 Image Encode 20210126
Encode Settings: Quality 100, Compression Effort 5
Seconds < Lower Is Better
1 . 14.48 |====================================================================
2 . 14.48 |====================================================================
3 . 14.48 |====================================================================
WebP2 Image Encode 20210126
Encode Settings: Quality 100, Lossless Compression
Seconds < Lower Is Better
1 . 939.76 |===================================================================
2 . 938.92 |===================================================================
3 . 940.23 |===================================================================
Google SynthMark 20201109
Test: VoiceMark_100
Voices > Higher Is Better
1 . 551.18 |===================================================================
2 . 550.14 |===================================================================
3 . 549.94 |===================================================================
Gcrypt Library 1.9
Seconds < Lower Is Better
1 . 273.55 |===================================================================
2 . 272.41 |===================================================================
3 . 273.01 |===================================================================
QuantLib 1.21
MFLOPS > Higher Is Better
1 . 1689.6 |===================================================================
2 . 1691.5 |===================================================================
3 . 1691.6 |===================================================================
CloverLeaf
Lagrangian-Eulerian Hydrodynamics
Seconds < Lower Is Better
1 . 136.89 |=================================================================
2 . 140.64 |===================================================================
3 . 140.57 |===================================================================
Mobile Neural Network 1.1.1
Model: SqueezeNetV1.0
ms < Lower Is Better
1 . 8.447 |====================================================================
2 . 8.439 |====================================================================
3 . 8.424 |====================================================================
Mobile Neural Network 1.1.1
Model: resnet-v2-50
ms < Lower Is Better
1 . 54.51 |====================================================================
2 . 53.97 |===================================================================
3 . 54.12 |====================================================================
Mobile Neural Network 1.1.1
Model: MobileNetV2_224
ms < Lower Is Better
1 . 5.061 |===================================================================
2 . 5.146 |====================================================================
3 . 5.100 |===================================================================
Mobile Neural Network 1.1.1
Model: mobilenet-v1-1.0
ms < Lower Is Better
1 . 6.196 |====================================================================
2 . 6.112 |===================================================================
3 . 6.151 |====================================================================
Mobile Neural Network 1.1.1
Model: inception-v3
ms < Lower Is Better
1 . 55.87 |====================================================================
2 . 55.92 |====================================================================
3 . 55.96 |====================================================================
ONNX Runtime 1.6
Model: yolov4 - Device: OpenMP CPU
Inferences Per Minute > Higher Is Better
1 . 328 |======================================================================
2 . 328 |======================================================================
3 . 327 |======================================================================
ONNX Runtime 1.6
Model: bertsquad-10 - Device: OpenMP CPU
Inferences Per Minute > Higher Is Better
1 . 545 |======================================================================
2 . 541 |=====================================================================
3 . 542 |======================================================================
ONNX Runtime 1.6
Model: fcn-resnet101-11 - Device: OpenMP CPU
Inferences Per Minute > Higher Is Better
1 . 59 |=======================================================================
2 . 59 |=======================================================================
3 . 59 |=======================================================================
ONNX Runtime 1.6
Model: shufflenet-v2-10 - Device: OpenMP CPU
Inferences Per Minute > Higher Is Better
1 . 9736 |=====================================================================
2 . 9775 |=====================================================================
3 . 9729 |=====================================================================
ONNX Runtime 1.6
Model: super-resolution-10 - Device: OpenMP CPU
Inferences Per Minute > Higher Is Better
1 . 4007 |=====================================================================
2 . 4008 |=====================================================================
3 . 4005 |=====================================================================
TNN 0.2.3
Target: CPU - Model: MobileNet v2
ms < Lower Is Better
1 . 339.21 |===================================================================
2 . 337.51 |===================================================================
3 . 338.74 |===================================================================
TNN 0.2.3
Target: CPU - Model: SqueezeNet v1.1
ms < Lower Is Better
1 . 329.72 |===================================================================
2 . 328.63 |===================================================================
3 . 327.83 |===================================================================
NCNN 20201218
Target: CPU - Model: mobilenet
ms < Lower Is Better
1 . 20.03 |===================================================================
2 . 20.21 |====================================================================
3 . 20.06 |===================================================================
NCNN 20201218
Target: CPU-v2-v2 - Model: mobilenet-v2
ms < Lower Is Better
1 . 6.22 |====================================================================
2 . 6.22 |====================================================================
3 . 6.31 |=====================================================================
NCNN 20201218
Target: CPU-v3-v3 - Model: mobilenet-v3
ms < Lower Is Better
1 . 5.41 |=====================================================================
2 . 5.41 |=====================================================================
3 . 5.43 |=====================================================================
NCNN 20201218
Target: CPU - Model: shufflenet-v2
ms < Lower Is Better
1 . 7.05 |=====================================================================
2 . 7.07 |=====================================================================
3 . 7.03 |=====================================================================
NCNN 20201218
Target: CPU - Model: mnasnet
ms < Lower Is Better
1 . 5.52 |=====================================================================
2 . 5.55 |=====================================================================
3 . 5.56 |=====================================================================
NCNN 20201218
Target: CPU - Model: efficientnet-b0
ms < Lower Is Better
1 . 8.28 |=====================================================================
2 . 8.30 |=====================================================================
3 . 8.33 |=====================================================================
NCNN 20201218
Target: CPU - Model: blazeface
ms < Lower Is Better
1 . 2.76 |====================================================================
2 . 2.79 |=====================================================================
3 . 2.75 |====================================================================
NCNN 20201218
Target: CPU - Model: googlenet
ms < Lower Is Better
1 . 16.60 |===================================================================
2 . 16.84 |====================================================================
3 . 16.95 |====================================================================
NCNN 20201218
Target: CPU - Model: vgg16
ms < Lower Is Better
1 . 51.78 |====================================================================
2 . 51.97 |====================================================================
3 . 51.85 |====================================================================
NCNN 20201218
Target: CPU - Model: resnet18
ms < Lower Is Better
1 . 15.20 |===================================================================
2 . 15.54 |====================================================================
3 . 15.19 |==================================================================
NCNN 20201218
Target: CPU - Model: alexnet
ms < Lower Is Better
1 . 12.08 |====================================================================
2 . 12.12 |====================================================================
3 . 12.11 |====================================================================
NCNN 20201218
Target: CPU - Model: resnet50
ms < Lower Is Better
1 . 29.06 |====================================================================
2 . 28.86 |===================================================================
3 . 29.11 |====================================================================
NCNN 20201218
Target: CPU - Model: yolov4-tiny
ms < Lower Is Better
1 . 31.43 |=================================================================
2 . 31.96 |==================================================================
3 . 32.73 |====================================================================
NCNN 20201218
Target: CPU - Model: squeezenet_ssd
ms < Lower Is Better
1 . 26.55 |====================================================================
2 . 26.57 |====================================================================
3 . 26.59 |====================================================================
NCNN 20201218
Target: CPU - Model: regnety_400m
ms < Lower Is Better
1 . 24.08 |====================================================================
2 . 23.93 |====================================================================
3 . 23.75 |===================================================================
LAMMPS Molecular Dynamics Simulator 29Oct2020
Model: Rhodopsin Protein
ns/day > Higher Is Better
1 . 4.415 |===================================================================
2 . 4.261 |=================================================================
3 . 4.463 |====================================================================
NAS Parallel Benchmarks 3.4
Test / Class: EP.C
Total Mop/s > Higher Is Better
1 . 1050.17 |==================================================================
2 . 1002.01 |===============================================================
3 . 1047.67 |==================================================================
NAS Parallel Benchmarks 3.4
Test / Class: EP.D
Total Mop/s > Higher Is Better
1 . 1027.88 |==================================================================
2 . 1008.91 |=================================================================
3 . 1019.37 |=================================================================
oneDNN 2.0
Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU
ms < Lower Is Better
1 . 4.07476 |==================================================================
2 . 4.07451 |==================================================================
3 . 4.07980 |==================================================================
oneDNN 2.0
Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU
ms < Lower Is Better
1 . 7.41691 |==================================================================
2 . 7.39027 |==================================================================
3 . 7.43079 |==================================================================
oneDNN 2.0
Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
1 . 2.83074 |==================================================================
2 . 2.83861 |==================================================================
3 . 2.83373 |==================================================================
oneDNN 2.0
Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
1 . 2.48994 |==================================================================
2 . 2.47930 |==================================================================
3 . 2.48125 |==================================================================
oneDNN 2.0
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
ms < Lower Is Better
1 . 13.79 |====================================================================
2 . 13.80 |====================================================================
3 . 13.78 |====================================================================
oneDNN 2.0
Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU
ms < Lower Is Better
1 . 5.76536 |==================================================================
2 . 5.77823 |==================================================================
3 . 5.76890 |==================================================================
oneDNN 2.0
Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU
ms < Lower Is Better
1 . 8.39325 |==================================================================
2 . 8.40124 |==================================================================
3 . 8.38226 |==================================================================
oneDNN 2.0
Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
1 . 12.71 |====================================================================
2 . 12.69 |====================================================================
3 . 12.72 |====================================================================
oneDNN 2.0
Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
1 . 6.66011 |==================================================================
2 . 6.51937 |================================================================
3 . 6.68411 |==================================================================
oneDNN 2.0
Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
1 . 5.07564 |==================================================================
2 . 5.07714 |==================================================================
3 . 5.07005 |==================================================================
oneDNN 2.0
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
ms < Lower Is Better
1 . 4048.95 |==================================================================
2 . 4050.54 |==================================================================
3 . 4051.42 |==================================================================
oneDNN 2.0
Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
ms < Lower Is Better
1 . 2209.39 |==================================================================
2 . 2214.44 |==================================================================
3 . 2221.93 |==================================================================
oneDNN 2.0
Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
1 . 4045.79 |==================================================================
2 . 4044.15 |==================================================================
3 . 4040.61 |==================================================================
oneDNN 2.0
Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
1 . 2208.25 |==================================================================
2 . 2211.70 |==================================================================
3 . 2221.13 |==================================================================
oneDNN 2.0
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU
ms < Lower Is Better
1 . 3.36850 |==================================================================
2 . 3.35947 |==================================================================
3 . 3.36883 |==================================================================
oneDNN 2.0
Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
1 . 4051.99 |==================================================================
2 . 4040.59 |==================================================================
3 . 4048.11 |==================================================================
oneDNN 2.0
Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
1 . 2211.56 |==================================================================
2 . 2211.32 |==================================================================
3 . 2210.61 |==================================================================
oneDNN 2.0
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
1 . 3.00389 |==================================================================
2 . 2.99080 |==================================================================
3 . 2.99407 |==================================================================
ASKAP 1.0
Test: tConvolve MT - Gridding
Million Grid Points Per Second > Higher Is Better
1 . 1285.02 |==================================================================
2 . 1284.71 |==================================================================
3 . 1280.90 |==================================================================
ASKAP 1.0
Test: tConvolve MT - Degridding
Million Grid Points Per Second > Higher Is Better
1 . 1756.70 |==================================================================
2 . 1753.61 |==================================================================
3 . 1745.94 |==================================================================
ASKAP 1.0
Test: tConvolve MPI - Degridding
Mpix/sec > Higher Is Better
1 . 1699.85 |==================================================================
2 . 1589.75 |==============================================================
3 . 1597.84 |==============================================================
ASKAP 1.0
Test: tConvolve MPI - Gridding
Mpix/sec > Higher Is Better
1 . 2071.46 |==================================================================
2 . 1984.73 |===============================================================
3 . 1979.00 |===============================================================
ASKAP 1.0
Test: tConvolve OpenMP - Gridding
Million Grid Points Per Second > Higher Is Better
1 . 1778.10 |============================================================
2 . 1881.94 |===============================================================
3 . 1962.74 |==================================================================
ASKAP 1.0
Test: tConvolve OpenMP - Degridding
Million Grid Points Per Second > Higher Is Better
1 . 2664.35 |=================================================================
2 . 2716.90 |==================================================================
3 . 2716.90 |==================================================================
ASKAP 1.0
Test: Hogbom Clean OpenMP
Iterations Per Second > Higher Is Better
1 . 239.24 |===================================================================
2 . 239.43 |===================================================================
3 . 239.62 |===================================================================
Algebraic Multi-Grid Benchmark 1.2
Figure Of Merit > Higher Is Better
1 . 302891133 |================================================================
2 . 303612367 |================================================================
3 . 305133633 |================================================================
Kripke 1.2.4
Throughput FoM > Higher Is Better
1 . 46104420 |================================================================
2 . 46529853 |=================================================================
3 . 46840427 |=================================================================
LULESH 2.0.3
z/s > Higher Is Better
1 . 4654.47 |==================================================================
2 . 4644.46 |==================================================================
3 . 4621.63 |==================================================================
OpenFOAM 8
Input: Motorbike 30M
Seconds < Lower Is Better
1 . 219.05 |===================================================================
2 . 219.10 |===================================================================
3 . 219.57 |===================================================================
QMCPACK 3.10
Input: simple-H2O
Total Execution Time - Seconds < Lower Is Better
1 . 51.15 |===================================================================
2 . 51.90 |====================================================================
3 . 51.91 |====================================================================
CP2K Molecular Dynamics 8.1
Fayalite-FIST Data
Seconds < Lower Is Better
1 . 1543.68 |=================================================================
2 . 1576.95 |==================================================================
3 . 1546.68 |=================================================================
perf-bench
Benchmark: Sched Pipe
ops/sec > Higher Is Better
1 . 73755 |===================================================================
2 . 73695 |===================================================================
3 . 74430 |====================================================================
Cpuminer-Opt 3.15.5
Algorithm: Magi
kH/s > Higher Is Better
1 . 203.98 |==================================================================
2 . 204.18 |==================================================================
3 . 206.24 |===================================================================
Cpuminer-Opt 3.15.5
Algorithm: x25x
kH/s > Higher Is Better
1 . 219.58 |===================================================================
2 . 220.73 |===================================================================
3 . 220.82 |===================================================================
Cpuminer-Opt 3.15.5
Algorithm: Deepcoin
kH/s > Higher Is Better
1 . 7487.98 |==================================================================
2 . 7013.87 |==============================================================
3 . 7312.24 |================================================================
Cpuminer-Opt 3.15.5
Algorithm: Ringcoin
kH/s > Higher Is Better
1 . 1579.48 |==================================================================
2 . 1582.49 |==================================================================
3 . 1590.60 |==================================================================
Cpuminer-Opt 3.15.5
Algorithm: Blake-2 S
kH/s > Higher Is Better
1 . 220508 |=================================================================
2 . 221938 |==================================================================
3 . 226073 |===================================================================
Cpuminer-Opt 3.15.5
Algorithm: Garlicoin
kH/s > Higher Is Better
1 . 1736.89 |=================================================================
2 . 1750.88 |==================================================================
3 . 1738.45 |==================================================================
Cpuminer-Opt 3.15.5
Algorithm: Skeincoin
kH/s > Higher Is Better
1 . 34847 |==================================================================
2 . 34338 |=================================================================
3 . 35707 |====================================================================
Cpuminer-Opt 3.15.5
Algorithm: Myriad-Groestl
kH/s > Higher Is Better
1 . 10363 |===================================================================
2 . 10567 |====================================================================
3 . 10510 |====================================================================
Cpuminer-Opt 3.15.5
Algorithm: LBC, LBRY Credits
kH/s > Higher Is Better
1 . 23330 |====================================================================
2 . 23407 |====================================================================
3 . 23463 |====================================================================
Cpuminer-Opt 3.15.5
Algorithm: Quad SHA-256, Pyrite
kH/s > Higher Is Better
1 . 47653 |===================================================================
2 . 48622 |====================================================================
3 . 48341 |====================================================================
Cpuminer-Opt 3.15.5
Algorithm: Triple SHA-256, Onecoin
kH/s > Higher Is Better
1 . 61247 |==================================================================
2 . 60350 |=================================================================
3 . 62923 |====================================================================
dav1d 0.8.1
Video Input: Chimera 1080p
FPS > Higher Is Better
1 . 459.11 |===================================================================
2 . 459.32 |===================================================================
3 . 458.06 |===================================================================
dav1d 0.8.1
Video Input: Summer Nature 4K
FPS > Higher Is Better
1 . 142.04 |===================================================================
2 . 140.67 |==================================================================
3 . 140.47 |==================================================================
dav1d 0.8.1
Video Input: Summer Nature 1080p
FPS > Higher Is Better
1 . 382.21 |==================================================================
2 . 380.86 |==================================================================
3 . 385.99 |===================================================================
dav1d 0.8.1
Video Input: Chimera 1080p 10-bit
FPS > Higher Is Better
1 . 68.44 |====================================================================
2 . 68.62 |====================================================================
3 . 68.34 |====================================================================
rav1e 0.4
Speed: 1
Frames Per Second > Higher Is Better
1 . 0.277 |====================================================================
2 . 0.277 |====================================================================
3 . 0.276 |====================================================================
rav1e 0.4
Speed: 5
Frames Per Second > Higher Is Better
1 . 0.810 |====================================================================
2 . 0.810 |====================================================================
3 . 0.808 |====================================================================
rav1e 0.4
Speed: 6
Frames Per Second > Higher Is Better
1 . 1.065 |====================================================================
2 . 1.070 |====================================================================
3 . 1.068 |====================================================================
rav1e 0.4
Speed: 10
Frames Per Second > Higher Is Better
1 . 2.375 |====================================================================
2 . 2.361 |====================================================================
3 . 2.375 |====================================================================
Timed Godot Game Engine Compilation 3.2.3
Time To Compile
Seconds < Lower Is Better
1 . 186.70 |===================================================================
2 . 186.84 |===================================================================
3 . 186.56 |===================================================================
Build2 0.13
Time To Compile
Seconds < Lower Is Better
1 . 159.69 |===================================================================
2 . 160.67 |===================================================================
3 . 160.09 |===================================================================
Timed Eigen Compilation 3.3.9
Time To Compile
Seconds < Lower Is Better
1 . 109.86 |==================================================================
2 . 111.13 |===================================================================
3 . 111.07 |===================================================================
FinanceBench 2016-07-25
Benchmark: Repo OpenMP
ms < Lower Is Better
1 . 68017.65 |===============================================================
2 . 69828.36 |=================================================================
3 . 69374.87 |=================================================================
FinanceBench 2016-07-25
Benchmark: Bonds OpenMP
ms < Lower Is Better
1 . 115661.13 |===============================================================
2 . 114077.57 |===============================================================
3 . 116695.38 |================================================================
Redis 6.0.9
Test: LPOP
Requests Per Second > Higher Is Better
1 . 2010121.55 |===============================================================
2 . 1271416.38 |========================================
3 . 1758555.23 |=======================================================
Redis 6.0.9
Test: SADD
Requests Per Second > Higher Is Better
1 . 1602736.88 |===============================================================
2 . 1588662.75 |==============================================================
3 . 1605411.58 |===============================================================
Unpacking Firefox 84.0
Extracting: firefox-84.0.source.tar.xz
Seconds < Lower Is Better
1 . 24.04 |====================================================================
2 . 23.89 |===================================================================
3 . 24.13 |====================================================================
Redis 6.0.9
Test: LPUSH
Requests Per Second > Higher Is Better
1 . 1247740.00 |===============================================================
2 . 1242294.79 |===============================================================
3 . 1249824.00 |===============================================================
Redis 6.0.9
Test: GET
Requests Per Second > Higher Is Better
1 . 1887226.87 |===============================================================
2 . 1775802.50 |===========================================================
3 . 1765664.37 |===========================================================
Redis 6.0.9
Test: SET
Requests Per Second > Higher Is Better
1 . 1415197.08 |==============================================================
2 . 1408307.62 |==============================================================
3 . 1436898.96 |===============================================================
GnuPG 2.2.27
2.7GB Sample File Encryption
Seconds < Lower Is Better
1 . 81.08 |====================================================================
2 . 80.22 |===================================================================
3 . 80.13 |===================================================================