Core i7 7900X 2021 Intel Core i7-7900X testing with a ASRock X299 Extreme4 (P1.50 BIOS) and Zotac NVIDIA GeForce GT 610 1GB on Ubuntu 19.04 via the Phoronix Test Suite. 1: Processor: Intel Core i7-7900X @ 4.50GHz (10 Cores / 20 Threads), Motherboard: ASRock X299 Extreme4 (P1.50 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 16GB, Disk: 120GB Corsair Force MP500, Graphics: Zotac NVIDIA GeForce GT 610 1GB, Audio: Realtek ALC1220, Monitor: LG Ultra HD, Network: Intel I219-V OS: Ubuntu 19.04, Kernel: 5.0.0-38-generic (x86_64), Display Server: X Server 1.20.4, Display Driver: zotac, Compiler: GCC 11.0.0 20200929, File-System: ext4, Screen Resolution: 1920x1080 2: Processor: Intel Core i7-7900X @ 4.50GHz (10 Cores / 20 Threads), Motherboard: ASRock X299 Extreme4 (P1.50 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 16GB, Disk: 120GB Corsair Force MP500, Graphics: Zotac NVIDIA GeForce GT 610 1GB, Audio: Realtek ALC1220, Monitor: LG Ultra HD, Network: Intel I219-V OS: Ubuntu 19.04, Kernel: 5.0.0-38-generic (x86_64), Display Server: X Server 1.20.4, Display Driver: zotac, Compiler: GCC 11.0.0 20200929, File-System: ext4, Screen Resolution: 1920x1080 3: Processor: Intel Core i7-7900X @ 4.50GHz (10 Cores / 20 Threads), Motherboard: ASRock X299 Extreme4 (P1.50 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 16GB, Disk: 120GB Corsair Force MP500, Graphics: Zotac NVIDIA GeForce GT 610 1GB, Audio: Realtek ALC1220, Monitor: LG Ultra HD, Network: Intel I219-V OS: Ubuntu 19.04, Kernel: 5.0.0-38-generic (x86_64), Display Server: X Server 1.20.4, Display Driver: zotac, Compiler: GCC 11.0.0 20200929, File-System: ext4, Screen Resolution: 1920x1080 QuantLib 1.21 MFLOPS > Higher Is Better 1 . 2765.1 |=================================================================== 2 . 2737.5 |================================================================== 3 . 2744.6 |=================================================================== lzbench 1.8 Test: XZ 0 - Process: Compression MB/s > Higher Is Better 1 . 46 |======================================================================= 2 . 46 |======================================================================= 3 . 45 |===================================================================== lzbench 1.8 Test: XZ 0 - Process: Decompression MB/s > Higher Is Better 1 . 124 |====================================================================== 2 . 124 |====================================================================== 3 . 124 |====================================================================== lzbench 1.8 Test: Zstd 1 - Process: Compression MB/s > Higher Is Better 1 . 534 |====================================================================== 2 . 532 |====================================================================== 3 . 535 |====================================================================== lzbench 1.8 Test: Zstd 1 - Process: Decompression MB/s > Higher Is Better 1 . 1709 |===================================================================== 2 . 1707 |===================================================================== 3 . 1709 |===================================================================== lzbench 1.8 Test: Zstd 8 - Process: Compression MB/s > Higher Is Better 1 . 90 |======================================================================= 2 . 89 |====================================================================== 3 . 89 |====================================================================== lzbench 1.8 Test: Zstd 8 - Process: Decompression MB/s > Higher Is Better 1 . 1723 |===================================================================== 2 . 1720 |===================================================================== 3 . 1721 |===================================================================== lzbench 1.8 Test: Crush 0 - Process: Compression MB/s > Higher Is Better 1 . 110 |====================================================================== 2 . 109 |===================================================================== 3 . 110 |====================================================================== lzbench 1.8 Test: Crush 0 - Process: Decompression MB/s > Higher Is Better 1 . 532 |====================================================================== 2 . 532 |====================================================================== 3 . 532 |====================================================================== lzbench 1.8 Test: Brotli 0 - Process: Compression MB/s > Higher Is Better 1 . 483 |====================================================================== 2 . 484 |====================================================================== 3 . 484 |====================================================================== lzbench 1.8 Test: Brotli 0 - Process: Decompression MB/s > Higher Is Better 1 . 661 |====================================================================== 2 . 662 |====================================================================== 3 . 660 |====================================================================== lzbench 1.8 Test: Brotli 2 - Process: Compression MB/s > Higher Is Better 1 . 199 |====================================================================== 2 . 199 |====================================================================== 3 . 199 |====================================================================== lzbench 1.8 Test: Brotli 2 - Process: Decompression MB/s > Higher Is Better 1 . 766 |====================================================================== 2 . 766 |====================================================================== 3 . 766 |====================================================================== lzbench 1.8 Test: Libdeflate 1 - Process: Compression MB/s > Higher Is Better 1 . 268 |====================================================================== 2 . 268 |====================================================================== 3 . 268 |====================================================================== Algebraic Multi-Grid Benchmark 1.2 Figure Of Merit > Higher Is Better 1 . 429666875 |=============================================================== 2 . 435646267 |================================================================ 3 . 435619400 |================================================================ QMCPACK 3.10 Input: simple-H2O Total Execution Time - Seconds < Lower Is Better 1 . 29.22 |==================================================================== 2 . 29.07 |==================================================================== 3 . 29.03 |==================================================================== OpenFOAM 8 Input: Motorbike 30M Seconds < Lower Is Better 1 . 139.55 |=================================================================== 2 . 139.50 |=================================================================== 3 . 139.17 |=================================================================== OpenFOAM 8 Input: Motorbike 60M Seconds < Lower Is Better 1 . 701.37 |=================================================================== 2 . 701.05 |=================================================================== 3 . 701.62 |=================================================================== LAMMPS Molecular Dynamics Simulator 29Oct2020 Model: Rhodopsin Protein ns/day > Higher Is Better 1 . 7.425 |==================================================================== 2 . 7.323 |=================================================================== 3 . 7.420 |==================================================================== LULESH 2.0.3 z/s > Higher Is Better 1 . 6332.80 |================================================================= 2 . 6440.08 |================================================================== 3 . 6401.29 |================================================================== Zstd Compression 1.4.5 Compression Level: 3 MB/s > Higher Is Better 1 . 4359.7 |=================================================================== 2 . 4365.4 |=================================================================== 3 . 4364.8 |=================================================================== Zstd Compression 1.4.5 Compression Level: 19 MB/s > Higher Is Better 1 . 54.2 |===================================================================== 2 . 54.3 |===================================================================== 3 . 54.4 |===================================================================== oneDNN 2.0 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 3.22527 |=========================================================== 2 . 3.17683 |========================================================== 3 . 3.61773 |================================================================== oneDNN 2.0 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 6.20063 |================================================================== 2 . 5.80972 |============================================================== 3 . 6.20432 |================================================================== oneDNN 2.0 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 1.23217 |================================================================= 2 . 1.19520 |=============================================================== 3 . 1.24672 |================================================================== oneDNN 2.0 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 1.67560 |============================================================= 2 . 1.64785 |============================================================ 3 . 1.81677 |================================================================== oneDNN 2.0 Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better 1 . 8.07550 |================================================================== 2 . 8.07076 |================================================================== 3 . 8.09521 |================================================================== oneDNN 2.0 Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better 1 . 3.63392 |================================================================ 2 . 3.60667 |=============================================================== 3 . 3.76017 |================================================================== oneDNN 2.0 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 10.61 |==================================================================== 2 . 10.61 |==================================================================== 3 . 10.52 |=================================================================== oneDNN 2.0 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 3.27351 |================================================================ 2 . 3.23948 |================================================================ 3 . 3.36635 |================================================================== oneDNN 2.0 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 3.50970 |=============================================================== 2 . 3.50573 |=============================================================== 3 . 3.69979 |================================================================== oneDNN 2.0 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 9.99665 |================================================================== 2 . 9.98915 |================================================================== 3 . 9.88730 |================================================================= oneDNN 2.0 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 1.46755 |================================================================= 2 . 1.46542 |================================================================= 3 . 1.48004 |================================================================== oneDNN 2.0 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 2.20381 |============================================================= 2 . 2.16313 |=========================================================== 3 . 2.40359 |================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 2104.77 |================================================================ 2 . 2088.20 |=============================================================== 3 . 2187.26 |================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 1170.55 |============================================================== 2 . 1157.22 |============================================================== 3 . 1239.50 |================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 2104.79 |================================================================= 2 . 2110.87 |================================================================= 3 . 2146.86 |================================================================== oneDNN 2.0 Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better 1 . 12.58 |==================================================================== 2 . 12.59 |==================================================================== 3 . 12.57 |==================================================================== oneDNN 2.0 Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better 1 . 15.74 |==================================================================== 2 . 15.74 |==================================================================== 3 . 15.72 |==================================================================== oneDNN 2.0 Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better 1 . 16.40 |================================================================== 2 . 16.35 |================================================================== 3 . 16.87 |==================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 1168.78 |=============================================================== 2 . 1154.72 |=============================================================== 3 . 1218.95 |================================================================== oneDNN 2.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 2.06308 |================================================================== 2 . 2.06901 |================================================================== 3 . 2.03981 |================================================================= oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better 1 . 2104.21 |================================================================ 2 . 2096.25 |================================================================ 3 . 2164.69 |================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better 1 . 1172.55 |================================================================ 2 . 1154.54 |=============================================================== 3 . 1214.47 |================================================================== oneDNN 2.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 0.864136 |=============================================================== 2 . 0.894479 |================================================================= 3 . 0.844465 |============================================================= oneDNN 2.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better 1 . 2.86817 |================================================================= 2 . 2.89487 |================================================================== 3 . 2.83983 |================================================================= rav1e 0.4 Speed: 1 Frames Per Second > Higher Is Better 1 . 0.394 |==================================================================== 2 . 0.394 |==================================================================== 3 . 0.394 |==================================================================== rav1e 0.4 Speed: 5 Frames Per Second > Higher Is Better 1 . 1.093 |==================================================================== 2 . 1.092 |==================================================================== 3 . 1.093 |==================================================================== rav1e 0.4 Speed: 6 Frames Per Second > Higher Is Better 1 . 1.437 |==================================================================== 2 . 1.438 |==================================================================== 3 . 1.439 |==================================================================== rav1e 0.4 Speed: 10 Frames Per Second > Higher Is Better 1 . 3.112 |==================================================================== 2 . 3.119 |==================================================================== 3 . 3.110 |==================================================================== Coremark 1.0 CoreMark Size 666 - Iterations Per Second Iterations/Sec > Higher Is Better 1 . 393486.16 |================================================================ 2 . 392945.70 |================================================================ 3 . 393426.97 |================================================================ 7-Zip Compression 16.02 Compress Speed Test MIPS > Higher Is Better 1 . 60523 |==================================================================== 2 . 60395 |==================================================================== 3 . 60267 |==================================================================== Timed Godot Game Engine Compilation 3.2.3 Time To Compile Seconds < Lower Is Better 1 . 142.10 |================================================================== 2 . 144.28 |=================================================================== 3 . 142.02 |================================================================== Build2 0.13 Time To Compile Seconds < Lower Is Better 1 . 139.47 |=================================================================== 2 . 137.88 |================================================================== 3 . 138.15 |================================================================== Timed Eigen Compilation 3.3.9 Time To Compile Seconds < Lower Is Better 1 . 87.93 |==================================================================== 2 . 88.05 |==================================================================== 3 . 87.87 |==================================================================== Gcrypt Library 1.9 Seconds < Lower Is Better 1 . 196.67 |=================================================================== 2 . 196.53 |=================================================================== 3 . 196.15 |=================================================================== Google SynthMark 20201109 Test: VoiceMark_100 Voices > Higher Is Better 1 . 617.58 |=================================================================== 2 . 618.25 |=================================================================== 3 . 616.74 |=================================================================== FinanceBench 2016-07-25 Benchmark: Repo OpenMP ms < Lower Is Better 1 . 37075.50 |================================================================= 2 . 36848.84 |================================================================= 3 . 36914.42 |================================================================= FinanceBench 2016-07-25 Benchmark: Bonds OpenMP ms < Lower Is Better 1 . 52224.90 |================================================================ 2 . 53124.96 |================================================================= 3 . 52234.41 |================================================================ Cryptsetup PBKDF2-sha512 Iterations Per Second > Higher Is Better 1 . 1802731 |================================================================== 2 . 1801708 |================================================================== 3 . 1805829 |================================================================== Cryptsetup PBKDF2-whirlpool Iterations Per Second > Higher Is Better 1 . 769880 |=================================================================== 2 . 769505 |=================================================================== 3 . 769505 |=================================================================== Cryptsetup AES-XTS 256b Encryption MiB/s > Higher Is Better 1 . 2488.3 |=================================================================== 2 . 2494.4 |=================================================================== 3 . 2492.4 |=================================================================== Cryptsetup AES-XTS 256b Decryption MiB/s > Higher Is Better 1 . 2415.0 |=================================================================== 2 . 2407.6 |=================================================================== 3 . 2410.0 |=================================================================== Cryptsetup Serpent-XTS 256b Encryption MiB/s > Higher Is Better 1 . 813.9 |==================================================================== 2 . 817.8 |==================================================================== 3 . 817.0 |==================================================================== Cryptsetup Serpent-XTS 256b Decryption MiB/s > Higher Is Better 1 . 838.8 |==================================================================== 2 . 837.7 |==================================================================== 3 . 837.4 |==================================================================== Cryptsetup Twofish-XTS 256b Encryption MiB/s > Higher Is Better 1 . 452.0 |==================================================================== 2 . 454.0 |==================================================================== 3 . 453.7 |==================================================================== Cryptsetup Twofish-XTS 256b Decryption MiB/s > Higher Is Better 1 . 455.9 |==================================================================== 2 . 456.1 |==================================================================== 3 . 455.9 |==================================================================== Cryptsetup AES-XTS 512b Encryption MiB/s > Higher Is Better 1 . 2312.5 |=================================================================== 2 . 2306.8 |=================================================================== 3 . 2307.5 |=================================================================== Cryptsetup AES-XTS 512b Decryption MiB/s > Higher Is Better 1 . 2274.4 |=================================================================== 2 . 2264.7 |=================================================================== 3 . 2266.1 |=================================================================== Cryptsetup Serpent-XTS 512b Encryption MiB/s > Higher Is Better 1 . 818.1 |==================================================================== 2 . 817.9 |==================================================================== 3 . 816.7 |==================================================================== Cryptsetup Serpent-XTS 512b Decryption MiB/s > Higher Is Better 1 . 836.3 |==================================================================== 2 . 836.8 |==================================================================== 3 . 837.5 |==================================================================== Cryptsetup Twofish-XTS 512b Encryption MiB/s > Higher Is Better 1 . 454.1 |==================================================================== 2 . 453.8 |==================================================================== 3 . 452.8 |==================================================================== Cryptsetup Twofish-XTS 512b Decryption MiB/s > Higher Is Better 1 . 455.9 |==================================================================== 2 . 454.8 |==================================================================== 3 . 455.7 |==================================================================== Redis 6.0.9 Test: LPOP Requests Per Second > Higher Is Better 1 . 2987638.08 |=============================================================== 2 . 1984735.79 |========================================== 3 . 2013855.59 |========================================== Redis 6.0.9 Test: SADD Requests Per Second > Higher Is Better 1 . 2420991.58 |=============================================================== 2 . 2410939.67 |============================================================== 3 . 2433452.33 |=============================================================== Redis 6.0.9 Test: LPUSH Requests Per Second > Higher Is Better 1 . 1889307.21 |============================================================== 2 . 1905897.88 |============================================================== 3 . 1927407.21 |=============================================================== Redis 6.0.9 Test: GET Requests Per Second > Higher Is Better 1 . 2861475.42 |=============================================================== 2 . 2750396.00 |============================================================= 3 . 2765324.33 |============================================================= Redis 6.0.9 Test: SET Requests Per Second > Higher Is Better 1 . 2149992.08 |============================================================== 2 . 2181880.08 |=============================================================== 3 . 2174653.00 |=============================================================== Mobile Neural Network 1.1.1 Model: SqueezeNetV1.0 ms < Lower Is Better 1 . 7.351 |==================================================================== 2 . 7.340 |==================================================================== 3 . 7.347 |==================================================================== Mobile Neural Network 1.1.1 Model: resnet-v2-50 ms < Lower Is Better 1 . 40.17 |==================================================================== 2 . 40.20 |==================================================================== 3 . 40.25 |==================================================================== Mobile Neural Network 1.1.1 Model: MobileNetV2_224 ms < Lower Is Better 1 . 4.558 |==================================================================== 2 . 4.524 |=================================================================== 3 . 4.455 |================================================================== Mobile Neural Network 1.1.1 Model: mobilenet-v1-1.0 ms < Lower Is Better 1 . 4.985 |==================================================================== 2 . 4.968 |==================================================================== 3 . 4.976 |==================================================================== Mobile Neural Network 1.1.1 Model: inception-v3 ms < Lower Is Better 1 . 41.07 |==================================================================== 2 . 41.02 |==================================================================== 3 . 41.02 |==================================================================== NCNN 20201218 Target: CPU - Model: mobilenet ms < Lower Is Better 1 . 17.44 |=================================================================== 2 . 17.70 |==================================================================== 3 . 17.41 |=================================================================== NCNN 20201218 Target: CPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better 1 . 5.40 |===================================================================== 2 . 5.24 |=================================================================== 3 . 5.25 |=================================================================== NCNN 20201218 Target: CPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better 1 . 4.53 |===================================================================== 2 . 4.32 |================================================================== 3 . 4.36 |================================================================== NCNN 20201218 Target: CPU - Model: shufflenet-v2 ms < Lower Is Better 1 . 6.26 |===================================================================== 2 . 6.10 |=================================================================== 3 . 6.09 |=================================================================== NCNN 20201218 Target: CPU - Model: mnasnet ms < Lower Is Better 1 . 4.93 |===================================================================== 2 . 4.86 |==================================================================== 3 . 4.82 |=================================================================== NCNN 20201218 Target: CPU - Model: efficientnet-b0 ms < Lower Is Better 1 . 6.73 |===================================================================== 2 . 6.63 |==================================================================== 3 . 6.69 |===================================================================== NCNN 20201218 Target: CPU - Model: blazeface ms < Lower Is Better 1 . 2.45 |===================================================================== 2 . 2.33 |================================================================== 3 . 2.36 |================================================================== NCNN 20201218 Target: CPU - Model: googlenet ms < Lower Is Better 1 . 13.81 |==================================================================== 2 . 13.25 |================================================================= 3 . 13.52 |=================================================================== NCNN 20201218 Target: CPU - Model: vgg16 ms < Lower Is Better 1 . 41.02 |==================================================================== 2 . 41.29 |==================================================================== 3 . 40.41 |=================================================================== NCNN 20201218 Target: CPU - Model: resnet18 ms < Lower Is Better 1 . 11.73 |==================================================================== 2 . 11.78 |==================================================================== 3 . 11.81 |==================================================================== NCNN 20201218 Target: CPU - Model: alexnet ms < Lower Is Better 1 . 9.00 |===================================================================== 2 . 9.00 |===================================================================== 3 . 8.99 |===================================================================== NCNN 20201218 Target: CPU - Model: resnet50 ms < Lower Is Better 1 . 23.03 |==================================================================== 2 . 23.08 |==================================================================== 3 . 22.82 |=================================================================== NCNN 20201218 Target: CPU - Model: yolov4-tiny ms < Lower Is Better 1 . 25.86 |==================================================================== 2 . 25.86 |==================================================================== 3 . 25.87 |==================================================================== NCNN 20201218 Target: CPU - Model: squeezenet_ssd ms < Lower Is Better 1 . 19.52 |==================================================================== 2 . 19.49 |==================================================================== 3 . 19.26 |=================================================================== NCNN 20201218 Target: CPU - Model: regnety_400m ms < Lower Is Better 1 . 19.39 |==================================================================== 2 . 19.41 |==================================================================== 3 . 19.49 |==================================================================== TNN 0.2.3 Target: CPU - Model: MobileNet v2 ms < Lower Is Better 1 . 314.95 |=================================================================== 2 . 315.02 |=================================================================== 3 . 315.07 |=================================================================== TNN 0.2.3 Target: CPU - Model: SqueezeNet v1.1 ms < Lower Is Better 1 . 296.12 |=================================================================== 2 . 296.02 |=================================================================== 3 . 296.09 |=================================================================== ONNX Runtime 1.6 Model: yolov4 - Device: OpenMP CPU Inferences Per Minute > Higher Is Better 1 . 483 |====================================================================== 2 . 486 |====================================================================== 3 . 486 |====================================================================== ONNX Runtime 1.6 Model: bertsquad-10 - Device: OpenMP CPU Inferences Per Minute > Higher Is Better 1 . 728 |====================================================================== 2 . 720 |===================================================================== 3 . 725 |====================================================================== ONNX Runtime 1.6 Model: fcn-resnet101-11 - Device: OpenMP CPU Inferences Per Minute > Higher Is Better 1 . 103 |====================================================================== 2 . 103 |====================================================================== 3 . 103 |====================================================================== ONNX Runtime 1.6 Model: shufflenet-v2-10 - Device: OpenMP CPU Inferences Per Minute > Higher Is Better 1 . 11550 |==================================================================== 2 . 11588 |==================================================================== 3 . 11540 |==================================================================== ONNX Runtime 1.6 Model: super-resolution-10 - Device: OpenMP CPU Inferences Per Minute > Higher Is Better 1 . 7081 |==================================================================== 2 . 7110 |===================================================================== 3 . 7133 |===================================================================== GnuPG 2.2.27 2.7GB Sample File Encryption Seconds < Lower Is Better 1 . 66.81 |==================================================================== 2 . 66.46 |==================================================================== 3 . 66.63 |==================================================================== Unpacking Firefox 84.0 Extracting: firefox-84.0.source.tar.xz Seconds < Lower Is Better 1 . 21.43 |==================================================================== 2 . 20.08 |================================================================ 3 . 19.81 |=============================================================== Kripke 1.2.4 Throughput FoM > Higher Is Better 1 . 58192643 |================================================================= 2 . 57582573 |================================================================ 3 . 57484260 |================================================================