E3-1260L 2021 Intel Xeon E3-1260L v5 testing with a ASRock E3V5 WS (P7.10 BIOS) and XFX NVIDIA GeForce GT 220 on Ubuntu 20.10 via the Phoronix Test Suite. 1: Processor: Intel Xeon E3-1260L v5 @ 3.90GHz (4 Cores / 8 Threads), Motherboard: ASRock E3V5 WS (P7.10 BIOS), Chipset: Intel Xeon E3-1200 v5/E3-1500, Memory: 8GB, Disk: 120GB INTEL SSDSC2BW12, Graphics: XFX NVIDIA GeForce GT 220, Audio: Realtek ALC892, Monitor: LG Ultra HD, Network: Intel I219-LM OS: Ubuntu 20.10, Kernel: 5.8.0-33-generic (x86_64), Desktop: GNOME Shell 3.38.1, Display Server: X Server 1.20.8, Display Driver: xfx, Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080 2: Processor: Intel Xeon E3-1260L v5 @ 3.90GHz (4 Cores / 8 Threads), Motherboard: ASRock E3V5 WS (P7.10 BIOS), Chipset: Intel Xeon E3-1200 v5/E3-1500, Memory: 8GB, Disk: 120GB INTEL SSDSC2BW12, Graphics: XFX NVIDIA GeForce GT 220, Audio: Realtek ALC892, Monitor: LG Ultra HD, Network: Intel I219-LM OS: Ubuntu 20.10, Kernel: 5.8.0-33-generic (x86_64), Desktop: GNOME Shell 3.38.1, Display Server: X Server 1.20.8, Display Driver: xfx, Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080 3: Processor: Intel Xeon E3-1260L v5 @ 3.90GHz (4 Cores / 8 Threads), Motherboard: ASRock E3V5 WS (P7.10 BIOS), Chipset: Intel Xeon E3-1200 v5/E3-1500, Memory: 8GB, Disk: 120GB INTEL SSDSC2BW12, Graphics: XFX NVIDIA GeForce GT 220, Audio: Realtek ALC892, Monitor: LG Ultra HD, Network: Intel I219-LM OS: Ubuntu 20.10, Kernel: 5.8.0-33-generic (x86_64), Desktop: GNOME Shell 3.38.1, Display Server: X Server 1.20.8, Display Driver: xfx, Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080 4: Processor: Intel Xeon E3-1260L v5 @ 3.90GHz (4 Cores / 8 Threads), Motherboard: ASRock E3V5 WS (P7.10 BIOS), Chipset: Intel Xeon E3-1200 v5/E3-1500, Memory: 8GB, Disk: 120GB INTEL SSDSC2BW12, Graphics: XFX NVIDIA GeForce GT 220, Audio: Realtek ALC892, Monitor: LG Ultra HD, Network: Intel I219-LM OS: Ubuntu 20.10, Kernel: 5.8.0-33-generic (x86_64), Desktop: GNOME Shell 3.38.1, Display Server: X Server 1.20.8, Display Driver: xfx, Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080 QuantLib 1.21 MFLOPS > Higher Is Better 1 . 2181.8 |=================================================================== 2 . 2168.3 |=================================================================== 3 . 2167.0 |=================================================================== 4 . 2165.5 |================================================================== NAS Parallel Benchmarks 3.4 Test / Class: BT.C Total Mop/s > Higher Is Better 1 . 13485.45 |================================================================= 2 . 13518.04 |================================================================= 3 . 13518.01 |================================================================= 4 . 13540.52 |================================================================= NAS Parallel Benchmarks 3.4 Test / Class: CG.C Total Mop/s > Higher Is Better 1 . 3438.09 |================================================================= 2 . 3463.42 |================================================================== 3 . 3448.62 |================================================================== 4 . 3472.03 |================================================================== NAS Parallel Benchmarks 3.4 Test / Class: EP.C Total Mop/s > Higher Is Better 1 . 514.12 |=================================================================== 2 . 507.42 |================================================================== 3 . 513.26 |=================================================================== 4 . 510.53 |=================================================================== NAS Parallel Benchmarks 3.4 Test / Class: EP.D Total Mop/s > Higher Is Better 1 . 504.27 |=================================================================== 2 . 503.55 |=================================================================== 3 . 502.03 |=================================================================== 4 . 501.69 |=================================================================== NAS Parallel Benchmarks 3.4 Test / Class: FT.C Total Mop/s > Higher Is Better 1 . 6871.19 |================================================================= 2 . 6902.75 |================================================================= 3 . 6986.40 |================================================================== 4 . 6982.31 |================================================================== NAS Parallel Benchmarks 3.4 Test / Class: LU.C Total Mop/s > Higher Is Better 1 . 14764.50 |================================================================= 2 . 14562.22 |================================================================ 3 . 14704.44 |================================================================= 4 . 14707.68 |================================================================= NAS Parallel Benchmarks 3.4 Test / Class: MG.C Total Mop/s > Higher Is Better 1 . 7148.35 |================================================================== 2 . 7153.82 |================================================================== 3 . 7142.14 |================================================================== 4 . 7142.46 |================================================================== NAS Parallel Benchmarks 3.4 Test / Class: SP.B Total Mop/s > Higher Is Better 1 . 4409.82 |================================================================== 2 . 4387.59 |================================================================== 3 . 4391.74 |================================================================== 4 . 4391.95 |================================================================== lzbench 1.8 Test: XZ 0 - Process: Compression MB/s > Higher Is Better 1 . 38 |======================================================================= 2 . 38 |======================================================================= 3 . 38 |======================================================================= 4 . 38 |======================================================================= lzbench 1.8 Test: XZ 0 - Process: Decompression MB/s > Higher Is Better 1 . 105 |====================================================================== 2 . 105 |====================================================================== 3 . 105 |====================================================================== 4 . 105 |====================================================================== lzbench 1.8 Test: Zstd 1 - Process: Compression MB/s > Higher Is Better 1 . 453 |====================================================================== 2 . 451 |====================================================================== 3 . 452 |====================================================================== 4 . 453 |====================================================================== lzbench 1.8 Test: Zstd 1 - Process: Decompression MB/s > Higher Is Better 1 . 1605 |===================================================================== 2 . 1600 |===================================================================== 3 . 1593 |==================================================================== 4 . 1604 |===================================================================== lzbench 1.8 Test: Zstd 8 - Process: Compression MB/s > Higher Is Better 1 . 83 |====================================================================== 2 . 84 |======================================================================= 3 . 83 |====================================================================== 4 . 83 |====================================================================== lzbench 1.8 Test: Zstd 8 - Process: Decompression MB/s > Higher Is Better 1 . 1749 |===================================================================== 2 . 1750 |===================================================================== 3 . 1749 |===================================================================== 4 . 1761 |===================================================================== lzbench 1.8 Test: Crush 0 - Process: Compression MB/s > Higher Is Better 1 . 90 |===================================================================== 2 . 90 |===================================================================== 3 . 90 |===================================================================== 4 . 92 |======================================================================= lzbench 1.8 Test: Crush 0 - Process: Decompression MB/s > Higher Is Better 1 . 447 |====================================================================== 2 . 447 |====================================================================== 3 . 447 |====================================================================== 4 . 447 |====================================================================== lzbench 1.8 Test: Brotli 0 - Process: Compression MB/s > Higher Is Better 1 . 427 |====================================================================== 2 . 427 |====================================================================== 3 . 427 |====================================================================== 4 . 428 |====================================================================== lzbench 1.8 Test: Brotli 0 - Process: Decompression MB/s > Higher Is Better 1 . 558 |====================================================================== 2 . 558 |====================================================================== 3 . 558 |====================================================================== 4 . 557 |====================================================================== lzbench 1.8 Test: Brotli 2 - Process: Compression MB/s > Higher Is Better 1 . 169 |====================================================================== 2 . 170 |====================================================================== 3 . 170 |====================================================================== 4 . 170 |====================================================================== lzbench 1.8 Test: Brotli 2 - Process: Decompression MB/s > Higher Is Better 1 . 648 |====================================================================== 2 . 648 |====================================================================== 3 . 648 |====================================================================== 4 . 646 |====================================================================== lzbench 1.8 Test: Libdeflate 1 - Process: Compression MB/s > Higher Is Better 1 . 208 |====================================================================== 2 . 209 |====================================================================== 3 . 209 |====================================================================== 4 . 208 |====================================================================== Algebraic Multi-Grid Benchmark 1.2 Figure Of Merit > Higher Is Better 1 . 180621100 |================================================================ 2 . 180582833 |================================================================ 3 . 180576900 |================================================================ 4 . 180705033 |================================================================ FFTE 7.0 N=256, 3D Complex FFT Routine MFLOPS > Higher Is Better 1 . 19035.09 |================================================================= 2 . 18773.27 |================================================================ 3 . 19060.19 |================================================================= 4 . 19047.02 |================================================================= Pennant 1.0.1 Test: sedovbig Hydro Cycle Time - Seconds < Lower Is Better 1 . 172.99 |=================================================================== 2 . 173.69 |=================================================================== 3 . 173.69 |=================================================================== 4 . 173.53 |=================================================================== Pennant 1.0.1 Test: leblancbig Hydro Cycle Time - Seconds < Lower Is Better 1 . 105.06 |=================================================================== 2 . 105.64 |=================================================================== 3 . 105.46 |=================================================================== 4 . 105.57 |=================================================================== QMCPACK 3.10 Input: simple-H2O Total Execution Time - Seconds < Lower Is Better 1 . 34.19 |=================================================================== 2 . 34.81 |==================================================================== 3 . 34.40 |=================================================================== 4 . 34.75 |==================================================================== OpenFOAM 8 Input: Motorbike 30M Seconds < Lower Is Better 1 . 386.71 |=================================================================== 2 . 387.68 |=================================================================== 3 . 388.45 |=================================================================== 4 . 388.02 |=================================================================== LAMMPS Molecular Dynamics Simulator 29Oct2020 Model: Rhodopsin Protein ns/day > Higher Is Better 1 . 2.615 |=================================================================== 2 . 2.638 |==================================================================== 3 . 2.629 |==================================================================== 4 . 2.622 |==================================================================== LULESH 2.0.3 z/s > Higher Is Better 1 . 1172.90 |================================================================== 2 . 1170.00 |================================================================== 3 . 1165.74 |================================================================== 4 . 1166.67 |================================================================== LZ4 Compression 1.9.3 Compression Level: 1 - Compression Speed MB/s > Higher Is Better 1 . 6691.28 |================================================================== 2 . 6682.99 |================================================================== 3 . 6668.81 |================================================================== 4 . 6669.47 |================================================================== LZ4 Compression 1.9.3 Compression Level: 1 - Decompression Speed MB/s > Higher Is Better 1 . 7915.2 |=================================================================== 2 . 7837.5 |================================================================== 3 . 7870.7 |=================================================================== 4 . 7867.1 |=================================================================== LZ4 Compression 1.9.3 Compression Level: 3 - Compression Speed MB/s > Higher Is Better 1 . 45.78 |==================================================================== 2 . 45.74 |==================================================================== 3 . 45.70 |==================================================================== 4 . 45.64 |==================================================================== LZ4 Compression 1.9.3 Compression Level: 3 - Decompression Speed MB/s > Higher Is Better 1 . 7869.7 |=================================================================== 2 . 7834.3 |=================================================================== 3 . 7840.2 |=================================================================== 4 . 7851.0 |=================================================================== LZ4 Compression 1.9.3 Compression Level: 9 - Compression Speed MB/s > Higher Is Better 1 . 44.52 |==================================================================== 2 . 44.42 |==================================================================== 3 . 44.61 |==================================================================== 4 . 44.40 |==================================================================== LZ4 Compression 1.9.3 Compression Level: 9 - Decompression Speed MB/s > Higher Is Better 1 . 7847.4 |=================================================================== 2 . 7844.0 |=================================================================== 3 . 7852.5 |=================================================================== 4 . 7843.8 |=================================================================== oneDNN 2.0 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 9.44945 |================================================================== 2 . 9.39697 |================================================================== 3 . 9.43266 |================================================================== 4 . 9.41427 |================================================================== oneDNN 2.0 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 11.36 |================================================================= 2 . 11.02 |=============================================================== 3 . 11.81 |==================================================================== 4 . 11.46 |================================================================== oneDNN 2.0 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 4.28659 |================================================================== 2 . 4.28498 |================================================================== 3 . 4.29128 |================================================================== 4 . 4.28045 |================================================================== oneDNN 2.0 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 3.06797 |================================================================== 2 . 2.94428 |=============================================================== 3 . 2.96607 |================================================================ 4 . 2.96463 |================================================================ oneDNN 2.0 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 22.60 |==================================================================== 2 . 22.43 |=================================================================== 3 . 22.42 |=================================================================== 4 . 22.44 |==================================================================== oneDNN 2.0 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 12.50 |==================================================================== 2 . 12.57 |==================================================================== 3 . 12.44 |=================================================================== 4 . 12.47 |=================================================================== oneDNN 2.0 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 16.41 |==================================================================== 2 . 16.30 |=================================================================== 3 . 16.49 |==================================================================== 4 . 16.38 |==================================================================== oneDNN 2.0 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 21.38 |==================================================================== 2 . 21.30 |==================================================================== 3 . 21.35 |==================================================================== 4 . 21.32 |==================================================================== oneDNN 2.0 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 12.60 |=================================================================== 2 . 12.47 |=================================================================== 3 . 12.48 |=================================================================== 4 . 12.75 |==================================================================== oneDNN 2.0 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 8.25057 |================================================================== 2 . 8.22961 |================================================================== 3 . 8.28109 |================================================================== 4 . 8.20667 |================================================================= oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 8915.85 |================================================================== 2 . 8919.79 |================================================================== 3 . 8939.18 |================================================================== 4 . 8931.43 |================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 4632.02 |================================================================== 2 . 4628.67 |================================================================== 3 . 4635.33 |================================================================== 4 . 4639.21 |================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 8917.52 |================================================================== 2 . 8925.45 |================================================================== 3 . 8944.35 |================================================================== 4 . 8938.37 |================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 4631.89 |================================================================== 2 . 4628.54 |================================================================== 3 . 4645.08 |================================================================== 4 . 4632.41 |================================================================== oneDNN 2.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 5.38894 |================================================================= 2 . 5.37720 |================================================================= 3 . 5.43683 |================================================================== 4 . 5.42404 |================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better 1 . 8927.63 |================================================================== 2 . 8933.08 |================================================================== 3 . 8945.60 |================================================================== 4 . 8936.31 |================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better 1 . 4640.83 |================================================================== 2 . 4630.47 |================================================================== 3 . 4643.81 |================================================================== 4 . 4640.34 |================================================================== oneDNN 2.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 7.41513 |================================================================== 2 . 7.42722 |================================================================== 3 . 7.44449 |================================================================== 4 . 7.38944 |================================================================== dav1d 0.8.1 Video Input: Chimera 1080p FPS > Higher Is Better 1 . 299.54 |================================================================== 2 . 302.25 |=================================================================== 4 . 301.04 |=================================================================== dav1d 0.8.1 Video Input: Summer Nature 4K FPS > Higher Is Better 1 . 78.94 |=================================================================== 2 . 79.53 |==================================================================== 4 . 79.46 |==================================================================== dav1d 0.8.1 Video Input: Summer Nature 1080p FPS > Higher Is Better 1 . 275.71 |=================================================================== 2 . 277.67 |=================================================================== 4 . 275.34 |================================================================== dav1d 0.8.1 Video Input: Chimera 1080p 10-bit FPS > Higher Is Better 1 . 65.10 |==================================================================== 2 . 65.04 |==================================================================== 4 . 65.31 |==================================================================== rav1e 0.4 Speed: 1 Frames Per Second > Higher Is Better 1 . 0.362 |==================================================================== 2 . 0.362 |==================================================================== 4 . 0.361 |==================================================================== rav1e 0.4 Speed: 5 Frames Per Second > Higher Is Better 1 . 1.038 |=================================================================== 2 . 1.050 |==================================================================== 4 . 1.049 |==================================================================== rav1e 0.4 Speed: 6 Frames Per Second > Higher Is Better 1 . 1.377 |=================================================================== 2 . 1.373 |=================================================================== 4 . 1.389 |==================================================================== rav1e 0.4 Speed: 10 Frames Per Second > Higher Is Better 1 . 2.807 |=================================================================== 2 . 2.865 |==================================================================== 4 . 2.870 |==================================================================== Coremark 1.0 CoreMark Size 666 - Iterations Per Second Iterations/Sec > Higher Is Better 1 . 137084.98 |================================================================ 2 . 136732.15 |================================================================ 4 . 137374.61 |================================================================ libavif avifenc 0.7.3 Encoder Speed: 0 Seconds < Lower Is Better 1 . 203.25 |=================================================================== 2 . 203.85 |=================================================================== 4 . 203.68 |=================================================================== libavif avifenc 0.7.3 Encoder Speed: 2 Seconds < Lower Is Better 1 . 119.20 |================================================================== 2 . 120.28 |=================================================================== 4 . 119.62 |=================================================================== libavif avifenc 0.7.3 Encoder Speed: 8 Seconds < Lower Is Better 1 . 8.474 |==================================================================== 2 . 8.512 |==================================================================== 4 . 8.521 |==================================================================== libavif avifenc 0.7.3 Encoder Speed: 10 Seconds < Lower Is Better 1 . 7.814 |==================================================================== 2 . 7.867 |==================================================================== 4 . 7.807 |=================================================================== Timed Godot Game Engine Compilation 3.2.3 Time To Compile Seconds < Lower Is Better 1 . 363.21 |=================================================================== 2 . 363.92 |=================================================================== 4 . 364.06 |=================================================================== Build2 0.13 Time To Compile Seconds < Lower Is Better 1 . 363.91 |================================================================== 2 . 367.31 |=================================================================== 4 . 367.59 |=================================================================== Timed Eigen Compilation 3.3.9 Time To Compile Seconds < Lower Is Better 1 . 89.89 |==================================================================== 2 . 90.26 |==================================================================== 4 . 90.19 |==================================================================== Monkey Audio Encoding 3.99.6 WAV To APE Seconds < Lower Is Better 1 . 13.27 |==================================================================== 2 . 13.19 |==================================================================== 4 . 13.22 |==================================================================== Opus Codec Encoding 1.3.1 WAV To Opus Encode Seconds < Lower Is Better 1 . 9.789 |=================================================================== 2 . 9.764 |=================================================================== 4 . 9.909 |==================================================================== Gcrypt Library 1.9 Seconds < Lower Is Better 1 . 233.10 |=================================================================== 2 . 232.51 |=================================================================== 4 . 232.48 |=================================================================== WebP2 Image Encode 20210126 Encode Settings: Default Seconds < Lower Is Better 1 . 10.53 |==================================================================== 2 . 10.51 |==================================================================== 4 . 10.56 |==================================================================== WebP2 Image Encode 20210126 Encode Settings: Quality 75, Compression Effort 7 Seconds < Lower Is Better 1 . 639.61 |=================================================================== 2 . 642.37 |=================================================================== 4 . 641.29 |=================================================================== WebP2 Image Encode 20210126 Encode Settings: Quality 95, Compression Effort 7 Seconds < Lower Is Better 1 . 1178.69 |================================================================== 2 . 1180.02 |================================================================== 4 . 1177.83 |================================================================== WebP2 Image Encode 20210126 Encode Settings: Quality 100, Compression Effort 5 Seconds < Lower Is Better 1 . 37.44 |==================================================================== 2 . 37.44 |==================================================================== 4 . 37.42 |==================================================================== WebP2 Image Encode 20210126 Encode Settings: Quality 100, Lossless Compression Seconds < Lower Is Better 1 . 2398.27 |================================================================== 2 . 2400.66 |================================================================== 4 . 2397.75 |================================================================== Google SynthMark 20201109 Test: VoiceMark_100 Voices > Higher Is Better 1 . 603.25 |=================================================================== 2 . 603.13 |=================================================================== 4 . 602.75 |=================================================================== Cryptsetup PBKDF2-sha512 Iterations Per Second > Higher Is Better 1 . 1579979 |================================================================== 2 . 1576054 |================================================================== 4 . 1581562 |================================================================== Cryptsetup PBKDF2-whirlpool Iterations Per Second > Higher Is Better 1 . 665903 |=================================================================== 2 . 665904 |=================================================================== 4 . 665340 |=================================================================== Cryptsetup AES-XTS 256b Encryption MiB/s > Higher Is Better 1 . 2043.4 |=================================================================== 2 . 2049.5 |=================================================================== 4 . 2042.3 |=================================================================== Cryptsetup AES-XTS 256b Decryption MiB/s > Higher Is Better 1 . 2051.0 |=================================================================== 2 . 2055.0 |=================================================================== 4 . 2047.6 |=================================================================== Cryptsetup Serpent-XTS 256b Encryption MiB/s > Higher Is Better 1 . 704.8 |==================================================================== 2 . 705.8 |==================================================================== 4 . 705.7 |==================================================================== Cryptsetup Serpent-XTS 256b Decryption MiB/s > Higher Is Better 1 . 720.0 |==================================================================== 2 . 720.1 |==================================================================== 4 . 719.0 |==================================================================== Cryptsetup Twofish-XTS 256b Encryption MiB/s > Higher Is Better 1 . 390.1 |==================================================================== 2 . 390.9 |==================================================================== 4 . 390.8 |==================================================================== Cryptsetup Twofish-XTS 256b Decryption MiB/s > Higher Is Better 1 . 394.1 |==================================================================== 2 . 394.5 |==================================================================== 4 . 394.4 |==================================================================== Cryptsetup AES-XTS 512b Encryption MiB/s > Higher Is Better 1 . 1834.6 |=================================================================== 2 . 1838.3 |=================================================================== 4 . 1832.9 |=================================================================== Cryptsetup AES-XTS 512b Decryption MiB/s > Higher Is Better 1 . 1835.9 |=================================================================== 2 . 1838.1 |=================================================================== 4 . 1833.4 |=================================================================== Cryptsetup Serpent-XTS 512b Encryption MiB/s > Higher Is Better 1 . 705.0 |==================================================================== 2 . 705.7 |==================================================================== 4 . 705.6 |==================================================================== Cryptsetup Serpent-XTS 512b Decryption MiB/s > Higher Is Better 1 . 719.6 |==================================================================== 2 . 719.4 |==================================================================== 4 . 718.8 |==================================================================== Cryptsetup Twofish-XTS 512b Encryption MiB/s > Higher Is Better 1 . 390.8 |==================================================================== 2 . 390.5 |==================================================================== 4 . 390.8 |==================================================================== Cryptsetup Twofish-XTS 512b Decryption MiB/s > Higher Is Better 1 . 393.0 |==================================================================== 2 . 394.4 |==================================================================== 4 . 394.5 |==================================================================== ASTC Encoder 2.0 Preset: Fast Seconds < Lower Is Better 1 . 9.42 |==================================================================== 2 . 9.53 |===================================================================== 4 . 9.53 |===================================================================== ASTC Encoder 2.0 Preset: Medium Seconds < Lower Is Better 1 . 12.30 |==================================================================== 2 . 12.31 |==================================================================== 4 . 12.28 |==================================================================== ASTC Encoder 2.0 Preset: Thorough Seconds < Lower Is Better 1 . 80.27 |==================================================================== 2 . 80.32 |==================================================================== 4 . 80.22 |==================================================================== ASTC Encoder 2.0 Preset: Exhaustive Seconds < Lower Is Better 1 . 643.45 |=================================================================== 2 . 643.88 |=================================================================== 4 . 643.57 |=================================================================== Redis 6.0.9 Test: LPOP Requests Per Second > Higher Is Better 1 . 2447471.58 |=============================================================== 2 . 1501169.13 |======================================= 4 . 1465596.16 |====================================== Redis 6.0.9 Test: SADD Requests Per Second > Higher Is Better 1 . 1917948.34 |============================================================== 2 . 1934230.87 |=============================================================== 4 . 1942305.79 |=============================================================== Redis 6.0.9 Test: LPUSH Requests Per Second > Higher Is Better 1 . 1507373.50 |=============================================================== 2 . 1486920.07 |============================================================== 4 . 1513254.55 |=============================================================== Redis 6.0.9 Test: GET Requests Per Second > Higher Is Better 1 . 2281791.25 |=============================================================== 2 . 2189234.25 |============================================================ 4 . 2165661.08 |============================================================ Redis 6.0.9 Test: SET Requests Per Second > Higher Is Better 1 . 1717799.75 |=============================================================== 2 . 1721937.79 |=============================================================== 4 . 1721260.04 |=============================================================== Mobile Neural Network 1.1.1 Model: SqueezeNetV1.0 ms < Lower Is Better 1 . 7.811 |==================================================================== 2 . 7.789 |==================================================================== 4 . 7.771 |==================================================================== Mobile Neural Network 1.1.1 Model: resnet-v2-50 ms < Lower Is Better 1 . 48.89 |==================================================================== 2 . 48.89 |==================================================================== 4 . 48.37 |=================================================================== Mobile Neural Network 1.1.1 Model: MobileNetV2_224 ms < Lower Is Better 1 . 4.389 |==================================================================== 2 . 4.362 |==================================================================== 4 . 4.330 |=================================================================== Mobile Neural Network 1.1.1 Model: mobilenet-v1-1.0 ms < Lower Is Better 1 . 5.071 |==================================================================== 2 . 5.070 |==================================================================== 4 . 5.047 |==================================================================== Mobile Neural Network 1.1.1 Model: inception-v3 ms < Lower Is Better 1 . 60.43 |==================================================================== 2 . 60.00 |==================================================================== 4 . 59.49 |=================================================================== NCNN 20201218 Target: CPU - Model: mobilenet ms < Lower Is Better 1 . 30.44 |==================================================================== 2 . 30.45 |==================================================================== 4 . 30.36 |==================================================================== NCNN 20201218 Target: CPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better 1 . 7.99 |===================================================================== 2 . 7.99 |===================================================================== 4 . 7.98 |===================================================================== NCNN 20201218 Target: CPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better 1 . 6.54 |===================================================================== 2 . 6.54 |===================================================================== 4 . 6.53 |===================================================================== NCNN 20201218 Target: CPU - Model: shufflenet-v2 ms < Lower Is Better 1 . 9.78 |===================================================================== 2 . 9.80 |===================================================================== 4 . 9.76 |===================================================================== NCNN 20201218 Target: CPU - Model: mnasnet ms < Lower Is Better 1 . 6.74 |==================================================================== 2 . 6.73 |==================================================================== 4 . 6.79 |===================================================================== NCNN 20201218 Target: CPU - Model: efficientnet-b0 ms < Lower Is Better 1 . 10.91 |==================================================================== 2 . 10.91 |==================================================================== 4 . 10.98 |==================================================================== NCNN 20201218 Target: CPU - Model: blazeface ms < Lower Is Better 1 . 2.70 |===================================================================== 2 . 2.70 |===================================================================== 4 . 2.63 |=================================================================== NCNN 20201218 Target: CPU - Model: googlenet ms < Lower Is Better 1 . 21.75 |==================================================================== 2 . 21.75 |==================================================================== 4 . 21.76 |==================================================================== NCNN 20201218 Target: CPU - Model: vgg16 ms < Lower Is Better 1 . 89.22 |==================================================================== 2 . 88.86 |==================================================================== 4 . 88.84 |==================================================================== NCNN 20201218 Target: CPU - Model: resnet18 ms < Lower Is Better 1 . 21.88 |==================================================================== 2 . 21.90 |==================================================================== 4 . 21.90 |==================================================================== NCNN 20201218 Target: CPU - Model: alexnet ms < Lower Is Better 1 . 19.51 |==================================================================== 2 . 19.53 |==================================================================== 4 . 19.53 |==================================================================== NCNN 20201218 Target: CPU - Model: resnet50 ms < Lower Is Better 1 . 46.62 |==================================================================== 2 . 46.66 |==================================================================== 4 . 46.68 |==================================================================== NCNN 20201218 Target: CPU - Model: yolov4-tiny ms < Lower Is Better 1 . 40.95 |==================================================================== 2 . 40.96 |==================================================================== 4 . 40.86 |==================================================================== NCNN 20201218 Target: CPU - Model: squeezenet_ssd ms < Lower Is Better 1 . 31.30 |==================================================================== 2 . 31.23 |==================================================================== 4 . 31.24 |==================================================================== NCNN 20201218 Target: CPU - Model: regnety_400m ms < Lower Is Better 1 . 17.56 |==================================================================== 2 . 17.52 |==================================================================== 4 . 17.53 |==================================================================== TNN 0.2.3 Target: CPU - Model: MobileNet v2 ms < Lower Is Better 1 . 363.11 |=================================================================== 2 . 362.72 |=================================================================== 4 . 363.98 |=================================================================== TNN 0.2.3 Target: CPU - Model: SqueezeNet v1.1 ms < Lower Is Better 1 . 345.56 |=================================================================== 2 . 345.25 |=================================================================== 4 . 345.34 |=================================================================== ONNX Runtime 1.6 Model: yolov4 - Device: OpenMP CPU Inferences Per Minute > Higher Is Better 1 . 207 |====================================================================== 2 . 207 |====================================================================== 4 . 208 |====================================================================== ONNX Runtime 1.6 Model: bertsquad-10 - Device: OpenMP CPU Inferences Per Minute > Higher Is Better 1 . 312 |====================================================================== 2 . 311 |====================================================================== 4 . 311 |====================================================================== ONNX Runtime 1.6 Model: fcn-resnet101-11 - Device: OpenMP CPU Inferences Per Minute > Higher Is Better 1 . 33 |======================================================================= 2 . 33 |======================================================================= 4 . 33 |======================================================================= ONNX Runtime 1.6 Model: shufflenet-v2-10 - Device: OpenMP CPU Inferences Per Minute > Higher Is Better 1 . 14104 |==================================================================== 2 . 14103 |==================================================================== 4 . 14117 |==================================================================== ONNX Runtime 1.6 Model: super-resolution-10 - Device: OpenMP CPU Inferences Per Minute > Higher Is Better 1 . 2231 |===================================================================== 2 . 2224 |===================================================================== 4 . 2229 |===================================================================== WavPack Audio Encoding 5.3 WAV To WavPack Seconds < Lower Is Better 1 . 17.01 |==================================================================== 2 . 16.94 |==================================================================== 4 . 16.93 |==================================================================== GnuPG 2.2.27 2.7GB Sample File Encryption Seconds < Lower Is Better 1 . 73.30 |==================================================================== 2 . 73.11 |==================================================================== 4 . 73.12 |==================================================================== Unpacking Firefox 84.0 Extracting: firefox-84.0.source.tar.xz Seconds < Lower Is Better 1 . 23.67 |==================================================================== 2 . 23.72 |==================================================================== 4 . 23.49 |=================================================================== Kripke 1.2.4 Throughput FoM > Higher Is Better 1 . 24834863 |================================================================= 2 . 24915507 |================================================================= 4 . 24925553 |=================================================================