2700 march AMD Ryzen 7 2700 Eight-Core testing with a Gigabyte AB350N-Gaming WIFI-CF (F20 BIOS) and HIS AMD Radeon HD 6450/7450/8450 / R5 230 OEM 1GB on Ubuntu 19.10 via the Phoronix Test Suite. 1: Processor: AMD Ryzen 7 2700 Eight-Core @ 3.20GHz (8 Cores / 16 Threads), Motherboard: Gigabyte AB350N-Gaming WIFI-CF (F20 BIOS), Chipset: AMD 17h, Memory: 16GB, Disk: 120GB ADATA SU700, Graphics: HIS AMD Radeon HD 6450/7450/8450 / R5 230 OEM 1GB, Audio: AMD Caicos HDMI Audio, Monitor: DELL S2409W, Network: Realtek RTL8111/8168/8411 + Intel 3165 OS: Ubuntu 19.10, Kernel: 5.9.0-050900rc7daily20201004-generic (x86_64) 20201003, Desktop: GNOME Shell 3.34.1, Display Server: X Server 1.20.5, OpenGL: 3.3 Mesa 19.2.8 (LLVM 9.0.0), Compiler: GCC 9.2.1 20191008, File-System: ext4, Screen Resolution: 1920x1080 2: Processor: AMD Ryzen 7 2700 Eight-Core @ 3.20GHz (8 Cores / 16 Threads), Motherboard: Gigabyte AB350N-Gaming WIFI-CF (F20 BIOS), Chipset: AMD 17h, Memory: 16GB, Disk: 120GB ADATA SU700, Graphics: HIS AMD Radeon HD 6450/7450/8450 / R5 230 OEM 1GB, Audio: AMD Caicos HDMI Audio, Monitor: DELL S2409W, Network: Realtek RTL8111/8168/8411 + Intel 3165 OS: Ubuntu 19.10, Kernel: 5.9.0-050900rc7daily20201004-generic (x86_64) 20201003, Desktop: GNOME Shell 3.34.1, Display Server: X Server 1.20.5, OpenGL: 3.3 Mesa 19.2.8 (LLVM 9.0.0), Compiler: GCC 9.2.1 20191008, File-System: ext4, Screen Resolution: 1920x1080 3: Processor: AMD Ryzen 7 2700 Eight-Core @ 3.20GHz (8 Cores / 16 Threads), Motherboard: Gigabyte AB350N-Gaming WIFI-CF (F20 BIOS), Chipset: AMD 17h, Memory: 16GB, Disk: 120GB ADATA SU700, Graphics: HIS AMD Radeon HD 6450/7450/8450 / R5 230 OEM 1GB, Audio: AMD Caicos HDMI Audio, Monitor: DELL S2409W, Network: Realtek RTL8111/8168/8411 + Intel 3165 OS: Ubuntu 19.10, Kernel: 5.9.0-050900rc7daily20201004-generic (x86_64) 20201003, Desktop: GNOME Shell 3.34.1, Display Server: X Server 1.20.5, OpenGL: 3.3 Mesa 19.2.8 (LLVM 9.0.0), Compiler: GCC 9.2.1 20191008, File-System: ext4, Screen Resolution: 1920x1080 Xcompact3d Incompact3d 2021-03-11 Input: input.i3d 129 Cells Per Direction Seconds < Lower Is Better 1 . 44.39 |=================================================================== 2 . 44.93 |==================================================================== 3 . 44.12 |=================================================================== Xcompact3d Incompact3d 2021-03-11 Input: input.i3d 193 Cells Per Direction Seconds < Lower Is Better 1 . 157.43 |================================================================== 2 . 160.04 |=================================================================== 3 . 157.36 |================================================================== simdjson 0.8.2 Throughput Test: Kostya GB/s > Higher Is Better 1 . 2.08 |===================================================================== 2 . 2.08 |===================================================================== 3 . 2.09 |===================================================================== simdjson 0.8.2 Throughput Test: LargeRandom GB/s > Higher Is Better 1 . 0.87 |===================================================================== 2 . 0.87 |===================================================================== 3 . 0.87 |===================================================================== simdjson 0.8.2 Throughput Test: PartialTweets GB/s > Higher Is Better 1 . 2.84 |===================================================================== 2 . 2.84 |===================================================================== 3 . 2.84 |===================================================================== simdjson 0.8.2 Throughput Test: DistinctUserID GB/s > Higher Is Better 1 . 3.08 |===================================================================== 2 . 3.08 |===================================================================== 3 . 3.08 |===================================================================== GNU GMP GMPbench 6.2.1 Total Time GMPbench Score > Higher Is Better 1 . 4923.1 |=================================================================== 2 . 4917.2 |=================================================================== 3 . 4929.8 |=================================================================== srsLTE 20.10.1 Test: OFDM_Test Samples / Second > Higher Is Better 1 . 77866667 |================================================================= 2 . 78266667 |================================================================= 3 . 78100000 |================================================================= srsLTE 20.10.1 Test: PHY_DL_Test eNb Mb/s > Higher Is Better 1 . 216.0 |==================================================================== 2 . 214.9 |==================================================================== 3 . 216.0 |==================================================================== srsLTE 20.10.1 Test: PHY_DL_Test UE Mb/s > Higher Is Better 1 . 82.0 |===================================================================== 2 . 81.4 |==================================================================== 3 . 82.3 |===================================================================== Botan 2.17.3 Test: KASUMI MiB/s > Higher Is Better 1 . 91.55 |==================================================================== 2 . 91.56 |==================================================================== 3 . 91.55 |==================================================================== Botan 2.17.3 Test: KASUMI - Decrypt MiB/s > Higher Is Better 1 . 87.84 |==================================================================== 2 . 87.86 |==================================================================== 3 . 87.86 |==================================================================== Botan 2.17.3 Test: AES-256 MiB/s > Higher Is Better 1 . 5427.38 |================================================================== 2 . 5406.60 |================================================================== 3 . 5426.08 |================================================================== Botan 2.17.3 Test: AES-256 - Decrypt MiB/s > Higher Is Better 1 . 5483.85 |================================================================== 2 . 5461.96 |================================================================== 3 . 5493.61 |================================================================== Botan 2.17.3 Test: Twofish MiB/s > Higher Is Better 1 . 352.93 |=================================================================== 2 . 353.09 |=================================================================== 3 . 353.07 |=================================================================== Botan 2.17.3 Test: Twofish - Decrypt MiB/s > Higher Is Better 1 . 352.19 |=================================================================== 2 . 351.99 |=================================================================== 3 . 352.49 |=================================================================== Botan 2.17.3 Test: Blowfish MiB/s > Higher Is Better 1 . 431.39 |=================================================================== 2 . 431.35 |=================================================================== 3 . 431.52 |=================================================================== Botan 2.17.3 Test: Blowfish - Decrypt MiB/s > Higher Is Better 1 . 431.59 |=================================================================== 2 . 431.25 |=================================================================== 3 . 431.38 |=================================================================== Botan 2.17.3 Test: CAST-256 MiB/s > Higher Is Better 1 . 141.15 |=================================================================== 2 . 141.21 |=================================================================== 3 . 141.27 |=================================================================== Botan 2.17.3 Test: CAST-256 - Decrypt MiB/s > Higher Is Better 1 . 141.16 |=================================================================== 2 . 141.19 |=================================================================== 3 . 141.13 |=================================================================== Botan 2.17.3 Test: ChaCha20Poly1305 MiB/s > Higher Is Better 1 . 484.19 |=================================================================== 2 . 482.25 |=================================================================== 3 . 484.23 |=================================================================== Botan 2.17.3 Test: ChaCha20Poly1305 - Decrypt MiB/s > Higher Is Better 1 . 482.85 |=================================================================== 2 . 481.67 |=================================================================== 3 . 482.57 |=================================================================== LuaRadio 0.9.1 Test: Five Back to Back FIR Filters MiB/s > Higher Is Better 1 . 480.3 |==================================================================== 2 . 483.4 |==================================================================== 3 . 481.8 |==================================================================== LuaRadio 0.9.1 Test: FM Deemphasis Filter MiB/s > Higher Is Better 1 . 387.9 |==================================================================== 2 . 386.8 |==================================================================== 3 . 389.3 |==================================================================== LuaRadio 0.9.1 Test: Hilbert Transform MiB/s > Higher Is Better 1 . 92.1 |==================================================================== 2 . 92.8 |===================================================================== 3 . 92.0 |==================================================================== LuaRadio 0.9.1 Test: Complex Phase MiB/s > Higher Is Better 1 . 551.7 |==================================================================== 2 . 553.6 |==================================================================== 3 . 552.3 |==================================================================== AOM AV1 3.0 Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K Frames Per Second > Higher Is Better 1 . 0.07 |===================================================================== 2 . 0.07 |===================================================================== 3 . 0.07 |===================================================================== AOM AV1 3.0 Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K Frames Per Second > Higher Is Better 1 . 2.00 |===================================================================== 2 . 2.01 |===================================================================== 3 . 2.01 |===================================================================== AOM AV1 3.0 Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better 1 . 8.61 |===================================================================== 2 . 8.60 |===================================================================== 3 . 8.63 |===================================================================== AOM AV1 3.0 Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K Frames Per Second > Higher Is Better 1 . 3.82 |==================================================================== 2 . 3.85 |===================================================================== 3 . 3.84 |===================================================================== AOM AV1 3.0 Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better 1 . 24.32 |=================================================================== 2 . 24.58 |==================================================================== 3 . 24.59 |==================================================================== AOM AV1 3.0 Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better 1 . 30.40 |==================================================================== 2 . 30.39 |==================================================================== 3 . 30.40 |==================================================================== AOM AV1 3.0 Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p Frames Per Second > Higher Is Better 1 . 0.22 |===================================================================== 2 . 0.22 |===================================================================== 3 . 0.22 |===================================================================== AOM AV1 3.0 Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p Frames Per Second > Higher Is Better 1 . 3.74 |===================================================================== 2 . 3.73 |===================================================================== 3 . 3.75 |===================================================================== AOM AV1 3.0 Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better 1 . 15.17 |==================================================================== 2 . 15.07 |==================================================================== 3 . 14.99 |=================================================================== AOM AV1 3.0 Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p Frames Per Second > Higher Is Better 1 . 11.14 |==================================================================== 2 . 11.16 |==================================================================== 3 . 11.16 |==================================================================== AOM AV1 3.0 Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better 1 . 54.48 |================================================================== 2 . 54.90 |=================================================================== 3 . 55.96 |==================================================================== AOM AV1 3.0 Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better 1 . 64.75 |==================================================================== 2 . 64.84 |==================================================================== 3 . 62.67 |================================================================== SVT-HEVC 1.5.0 Tuning: 1 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better 1 . 5.46 |===================================================================== 2 . 5.46 |===================================================================== 3 . 5.47 |===================================================================== SVT-HEVC 1.5.0 Tuning: 7 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better 1 . 72.79 |==================================================================== 2 . 72.89 |==================================================================== 3 . 73.16 |==================================================================== SVT-HEVC 1.5.0 Tuning: 10 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better 1 . 149.71 |=================================================================== 2 . 150.09 |=================================================================== 3 . 149.66 |=================================================================== SVT-VP9 0.3 Tuning: VMAF Optimized - Input: Bosphorus 1080p Frames Per Second > Higher Is Better 1 . 93.63 |==================================================================== 2 . 93.71 |==================================================================== 3 . 93.16 |==================================================================== SVT-VP9 0.3 Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p Frames Per Second > Higher Is Better 1 . 98.92 |==================================================================== 2 . 99.05 |==================================================================== 3 . 99.03 |==================================================================== SVT-VP9 0.3 Tuning: Visual Quality Optimized - Input: Bosphorus 1080p Frames Per Second > Higher Is Better 1 . 77.66 |=================================================================== 2 . 78.16 |==================================================================== 3 . 78.29 |==================================================================== Stockfish 13 Total Time Nodes Per Second > Higher Is Better 1 . 18133486 |================================================================ 2 . 18333344 |================================================================= 3 . 18110615 |================================================================ Timed Linux Kernel Compilation 5.10.20 Time To Compile Seconds < Lower Is Better 1 . 112.37 |=================================================================== 2 . 112.39 |=================================================================== 3 . 111.85 |=================================================================== Timed Node.js Compilation 15.11 Time To Compile Seconds < Lower Is Better 1 . 614.67 |=================================================================== 2 . 615.08 |=================================================================== 3 . 613.07 |=================================================================== oneDNN 2.1.2 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 8.40798 |================================================================== 2 . 8.42009 |================================================================== 3 . 8.37864 |================================================================== oneDNN 2.1.2 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 13.38 |==================================================================== 2 . 13.21 |=================================================================== 3 . 13.23 |=================================================================== oneDNN 2.1.2 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 8.10530 |================================================================== 2 . 8.10551 |================================================================== 3 . 8.11780 |================================================================== oneDNN 2.1.2 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 2.79376 |================================================================== 2 . 2.79736 |================================================================== 3 . 2.79570 |================================================================== oneDNN 2.1.2 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 23.79 |==================================================================== 2 . 23.80 |==================================================================== 3 . 23.79 |==================================================================== oneDNN 2.1.2 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 10.86 |==================================================================== 2 . 10.88 |==================================================================== 3 . 10.88 |==================================================================== oneDNN 2.1.2 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 14.55 |==================================================================== 2 . 14.59 |==================================================================== 3 . 14.61 |==================================================================== oneDNN 2.1.2 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 24.40 |==================================================================== 2 . 24.34 |==================================================================== 3 . 24.38 |==================================================================== oneDNN 2.1.2 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 8.37857 |================================================================== 2 . 8.38646 |================================================================== 3 . 8.36378 |================================================================== oneDNN 2.1.2 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 11.16 |==================================================================== 2 . 11.17 |==================================================================== 3 . 11.13 |==================================================================== oneDNN 2.1.2 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 8187.48 |================================================================= 2 . 8294.96 |================================================================== 3 . 8149.80 |================================================================= oneDNN 2.1.2 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 4355.03 |================================================================== 2 . 4340.82 |================================================================== 3 . 4341.46 |================================================================== oneDNN 2.1.2 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 8186.05 |================================================================== 2 . 8197.44 |================================================================== 3 . 8172.53 |================================================================== oneDNN 2.1.2 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 4343.32 |================================================================== 2 . 4370.98 |================================================================== 3 . 4346.16 |================================================================== oneDNN 2.1.2 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 5.37265 |================================================================== 2 . 5.37691 |================================================================== 3 . 5.36897 |================================================================== oneDNN 2.1.2 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better 1 . 8211.26 |================================================================== 2 . 8166.93 |================================================================== 3 . 8147.02 |================================================================= oneDNN 2.1.2 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better 1 . 4366.85 |================================================================== 2 . 4351.79 |================================================================== 3 . 4347.64 |================================================================== oneDNN 2.1.2 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 4.98031 |================================================================== 2 . 4.96746 |================================================================== 3 . 4.97285 |================================================================== Timed Erlang/OTP Compilation 23.2 Time To Compile Seconds < Lower Is Better 1 . 170.80 |=================================================================== 2 . 171.21 |=================================================================== 3 . 170.80 |=================================================================== Liquid-DSP 2021.01.31 Threads: 1 - Buffer Length: 256 - Filter Length: 57 samples/s > Higher Is Better 1 . 56320333 |================================================================= 2 . 56235333 |================================================================= 3 . 56134333 |================================================================= Liquid-DSP 2021.01.31 Threads: 2 - Buffer Length: 256 - Filter Length: 57 samples/s > Higher Is Better 1 . 111863333 |================================================================ 2 . 111236667 |================================================================ 3 . 111496667 |================================================================ Liquid-DSP 2021.01.31 Threads: 4 - Buffer Length: 256 - Filter Length: 57 samples/s > Higher Is Better 1 . 209113333 |================================================================ 2 . 209460000 |================================================================ 3 . 209336667 |================================================================ Liquid-DSP 2021.01.31 Threads: 8 - Buffer Length: 256 - Filter Length: 57 samples/s > Higher Is Better 1 . 378376667 |================================================================ 2 . 378373333 |================================================================ 3 . 377836667 |================================================================ Liquid-DSP 2021.01.31 Threads: 16 - Buffer Length: 256 - Filter Length: 57 samples/s > Higher Is Better 1 . 438133333 |================================================================ 2 . 437706667 |================================================================ 3 . 439076667 |================================================================ ViennaCL 1.7.1 Test: CPU BLAS - sCOPY GB/s > Higher Is Better 1 . 18.5 |===================================================================== 2 . 18.4 |===================================================================== 3 . 18.5 |===================================================================== ViennaCL 1.7.1 Test: CPU BLAS - sAXPY GB/s > Higher Is Better 1 . 27.6 |===================================================================== 2 . 27.5 |===================================================================== 3 . 27.5 |===================================================================== ViennaCL 1.7.1 Test: CPU BLAS - sDOT GB/s > Higher Is Better 1 . 39.1 |===================================================================== 2 . 39.0 |===================================================================== 3 . 39.0 |===================================================================== ViennaCL 1.7.1 Test: CPU BLAS - dAXPY GB/s > Higher Is Better 1 . 27.8 |===================================================================== 2 . 27.7 |===================================================================== 3 . 27.7 |===================================================================== ViennaCL 1.7.1 Test: CPU BLAS - dDOT GB/s > Higher Is Better 1 . 39.0 |===================================================================== 2 . 39.2 |===================================================================== 3 . 39.2 |===================================================================== ViennaCL 1.7.1 Test: CPU BLAS - dGEMV-N GB/s > Higher Is Better 1 . 41.4 |===================================================================== 2 . 41.4 |===================================================================== 3 . 41.3 |===================================================================== ViennaCL 1.7.1 Test: CPU BLAS - dGEMV-T GB/s > Higher Is Better 1 . 43.2 |===================================================================== 2 . 43.2 |===================================================================== 3 . 43.1 |===================================================================== ViennaCL 1.7.1 Test: CPU BLAS - dGEMM-NN GFLOPs/s > Higher Is Better 1 . 33.3 |===================================================================== 2 . 33.5 |===================================================================== 3 . 33.3 |===================================================================== ViennaCL 1.7.1 Test: CPU BLAS - dGEMM-NT GFLOPs/s > Higher Is Better 1 . 32.7 |===================================================================== 2 . 32.7 |===================================================================== 3 . 32.5 |===================================================================== ViennaCL 1.7.1 Test: CPU BLAS - dGEMM-TN GFLOPs/s > Higher Is Better 1 . 34.7 |===================================================================== 2 . 34.5 |===================================================================== 3 . 34.5 |===================================================================== ViennaCL 1.7.1 Test: CPU BLAS - dGEMM-TT GFLOPs/s > Higher Is Better 1 . 34.2 |===================================================================== 2 . 34.3 |===================================================================== 3 . 34.4 |===================================================================== ViennaCL 1.7.1 Test: CPU BLAS - dCOPY GB/s > Higher Is Better 1 . 18.4 |===================================================================== 2 . 18.5 |===================================================================== 3 . 18.4 |===================================================================== Basis Universal 1.13 Settings: ETC1S Seconds < Lower Is Better 1 . 31.19 |==================================================================== 2 . 31.13 |==================================================================== 3 . 31.11 |==================================================================== Basis Universal 1.13 Settings: UASTC Level 0 Seconds < Lower Is Better 1 . 9.246 |==================================================================== 2 . 9.219 |==================================================================== 3 . 9.187 |==================================================================== Basis Universal 1.13 Settings: UASTC Level 2 Seconds < Lower Is Better 1 . 40.53 |==================================================================== 2 . 40.50 |==================================================================== 3 . 40.45 |==================================================================== Basis Universal 1.13 Settings: UASTC Level 3 Seconds < Lower Is Better 1 . 77.20 |==================================================================== 2 . 77.18 |==================================================================== 3 . 77.12 |==================================================================== OpenSCAD Render: Pistol Seconds < Lower Is Better 1 . 150.19 |================================================================== 2 . 151.19 |=================================================================== 3 . 151.74 |=================================================================== OpenSCAD Render: Retro Car Seconds < Lower Is Better 1 . 27.14 |==================================================================== 2 . 27.12 |==================================================================== 3 . 27.30 |==================================================================== OpenSCAD Render: Mini-ITX Case Seconds < Lower Is Better 1 . 65.39 |==================================================================== 2 . 65.86 |==================================================================== 3 . 65.65 |==================================================================== OpenSCAD Render: Projector Mount Swivel Seconds < Lower Is Better 1 . 170.71 |================================================================== 2 . 169.99 |================================================================== 3 . 172.29 |=================================================================== OpenSCAD Render: Leonardo Phone Case Slim Seconds < Lower Is Better 1 . 25.40 |==================================================================== 2 . 25.39 |==================================================================== 3 . 25.43 |==================================================================== Mobile Neural Network 1.1.3 Model: SqueezeNetV1.0 ms < Lower Is Better 1 . 10.15 |==================================================================== 2 . 10.22 |==================================================================== 3 . 10.07 |=================================================================== Mobile Neural Network 1.1.3 Model: resnet-v2-50 ms < Lower Is Better 1 . 45.86 |=================================================================== 2 . 46.23 |==================================================================== 3 . 45.69 |=================================================================== Mobile Neural Network 1.1.3 Model: MobileNetV2_224 ms < Lower Is Better 1 . 5.398 |==================================================================== 2 . 5.415 |==================================================================== 3 . 5.387 |==================================================================== Mobile Neural Network 1.1.3 Model: mobilenet-v1-1.0 ms < Lower Is Better 1 . 4.918 |==================================================================== 2 . 4.887 |==================================================================== 3 . 4.904 |==================================================================== Mobile Neural Network 1.1.3 Model: inception-v3 ms < Lower Is Better 1 . 54.19 |================================================================== 2 . 55.77 |==================================================================== 3 . 54.03 |================================================================== Sysbench 1.0.20 Test: RAM / Memory MiB/sec > Higher Is Better 1 . 7979.40 |================================================================= 2 . 8016.57 |================================================================== 3 . 8052.05 |================================================================== Sysbench 1.0.20 Test: CPU Events Per Second > Higher Is Better 1 . 14106.47 |================================================================= 2 . 14107.97 |================================================================= 3 . 14154.66 |================================================================= Systemd Total Boot Time Test: Total ms < Lower Is Better 1 . 26056 |==================================================================== 2 . 26056 |==================================================================== 3 . 26056 |==================================================================== Systemd Total Boot Time Test: Kernel ms < Lower Is Better 1 . 2761 |===================================================================== 2 . 2761 |===================================================================== 3 . 2761 |===================================================================== Systemd Total Boot Time Test: Loader ms < Lower Is Better 1 . 5212 |===================================================================== 2 . 5212 |===================================================================== 3 . 5212 |===================================================================== Systemd Total Boot Time Test: Firmware ms < Lower Is Better 1 . 11240 |==================================================================== 2 . 11240 |==================================================================== 3 . 11240 |==================================================================== Systemd Total Boot Time Test: Userspace ms < Lower Is Better 1 . 23295 |==================================================================== 2 . 23295 |==================================================================== 3 . 23295 |====================================================================