TR 2990WX 2020 AMD Ryzen Threadripper 2990WX 32-Core testing with a ASUS ROG ZENITH EXTREME (1701 BIOS) and Gigabyte AMD Radeon RX 470/480/570/570X/580/580X/590 4GB on Ubuntu 20.10 via the Phoronix Test Suite. 1: Processor: AMD Ryzen Threadripper 2990WX 32-Core @ 3.00GHz (32 Cores / 64 Threads), Motherboard: ASUS ROG ZENITH EXTREME (1701 BIOS), Chipset: AMD 17h, Memory: 32GB, Disk: Samsung SSD 970 EVO 500GB + 250GB Western Digital WDS250G2X0C-00L350, Graphics: Gigabyte AMD Radeon RX 470/480/570/570X/580/580X/590 4GB (1244/1750MHz), Audio: Realtek ALC1220, Monitor: LG Ultra HD, Network: Intel I211 + Qualcomm Atheros QCA6174 802.11ac + Wilocity Wil6200 802.11ad OS: Ubuntu 20.10, Kernel: 5.8.0-33-generic (x86_64), Desktop: GNOME Shell 3.38.1, Display Server: X Server 1.20.9, Display Driver: modesetting 1.20.9, OpenGL: 4.6 Mesa 20.2.1 (LLVM 11.0.0), Vulkan: 1.2.131, Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080 2: Processor: AMD Ryzen Threadripper 2990WX 32-Core @ 3.00GHz (32 Cores / 64 Threads), Motherboard: ASUS ROG ZENITH EXTREME (1701 BIOS), Chipset: AMD 17h, Memory: 32GB, Disk: Samsung SSD 970 EVO 500GB + 250GB Western Digital WDS250G2X0C-00L350, Graphics: Gigabyte AMD Radeon RX 470/480/570/570X/580/580X/590 4GB (1244/1750MHz), Audio: Realtek ALC1220, Monitor: LG Ultra HD, Network: Intel I211 + Qualcomm Atheros QCA6174 802.11ac + Wilocity Wil6200 802.11ad OS: Ubuntu 20.10, Kernel: 5.8.0-33-generic (x86_64), Desktop: GNOME Shell 3.38.1, Display Server: X Server 1.20.9, Display Driver: modesetting 1.20.9, OpenGL: 4.6 Mesa 20.2.1 (LLVM 11.0.0), Vulkan: 1.2.131, Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080 3: Processor: AMD Ryzen Threadripper 2990WX 32-Core @ 3.00GHz (32 Cores / 64 Threads), Motherboard: ASUS ROG ZENITH EXTREME (1701 BIOS), Chipset: AMD 17h, Memory: 32GB, Disk: Samsung SSD 970 EVO 500GB + 250GB Western Digital WDS250G2X0C-00L350, Graphics: Gigabyte AMD Radeon RX 470/480/570/570X/580/580X/590 4GB (1244/1750MHz), Audio: Realtek ALC1220, Monitor: LG Ultra HD, Network: Intel I211 + Qualcomm Atheros QCA6174 802.11ac + Wilocity Wil6200 802.11ad OS: Ubuntu 20.10, Kernel: 5.8.0-33-generic (x86_64), Desktop: GNOME Shell 3.38.1, Display Server: X Server 1.20.9, Display Driver: modesetting 1.20.9, OpenGL: 4.6 Mesa 20.2.1 (LLVM 11.0.0), Vulkan: 1.2.131, Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080 Waifu2x-NCNN Vulkan 20200818 Scale: 2x - Denoise: 3 - TAA: No Seconds < Lower Is Better 1 . 2.052 |==================================================================== Waifu2x-NCNN Vulkan 20200818 Scale: 2x - Denoise: 3 - TAA: Yes Seconds < Lower Is Better 1 . 10.04 |==================================================================== 2 . 10.06 |==================================================================== 3 . 10.07 |==================================================================== VkFFT 1.1.1 Benchmark Score > Higher Is Better 1 . 9412 |===================================================================== 2 . 9451 |===================================================================== 3 . 9417 |===================================================================== Libplacebo 2.72.2 Test: deband_heavy FPS > Higher Is Better 1 . 192.54 |=================================================================== 2 . 192.43 |=================================================================== 3 . 192.22 |=================================================================== Libplacebo 2.72.2 Test: polar_nocompute FPS > Higher Is Better 1 . 268.72 |=================================================================== 2 . 268.36 |=================================================================== 3 . 267.90 |=================================================================== Libplacebo 2.72.2 Test: hdr_peakdetect FPS > Higher Is Better 1 . 1762.98 |================================================================== 2 . 1762.78 |================================================================== 3 . 1762.55 |================================================================== Libplacebo 2.72.2 Test: av1_grain_lap FPS > Higher Is Better 1 . 448.24 |=================================================================== 2 . 441.37 |================================================================== 3 . 446.38 |=================================================================== Betsy GPU Compressor 1.1 Beta Codec: ETC1 - Quality: Highest Seconds < Lower Is Better 1 . 10.75 |==================================================================== 2 . 10.52 |=================================================================== 3 . 10.53 |=================================================================== Betsy GPU Compressor 1.1 Beta Codec: ETC2 RGB - Quality: Highest Seconds < Lower Is Better 1 . 12.70 |==================================================================== 2 . 12.54 |=================================================================== 3 . 12.55 |=================================================================== VkResample 1.0 Upscale: 2x - Precision: Single ms < Lower Is Better 1 . 49.01 |==================================================================== 2 . 49.00 |==================================================================== 3 . 49.02 |==================================================================== yquake2 7.45 Renderer: OpenGL 1.x - Resolution: 1920 x 1080 Frames Per Second > Higher Is Better 1 . 683.8 |==================================================================== 2 . 619.9 |============================================================== 3 . 623.8 |============================================================== yquake2 7.45 Renderer: OpenGL 3.x - Resolution: 1920 x 1080 Frames Per Second > Higher Is Better 1 . 949.7 |================================================================== 2 . 972.2 |==================================================================== 3 . 972.5 |==================================================================== yquake2 7.45 Renderer: Software CPU - Resolution: 1920 x 1080 Frames Per Second > Higher Is Better 1 . 106.6 |==================================================================== 2 . 107.1 |==================================================================== 3 . 106.2 |=================================================================== VKMark 2020-05-21 Resolution: 1280 x 1024 VKMark Score > Higher Is Better 1 . 5850 |===================================================================== 2 . 5644 |=================================================================== 3 . 5640 |=================================================================== VKMark 2020-05-21 Resolution: 1920 x 1080 VKMark Score > Higher Is Better 1 . 4384 |===================================================================== 2 . 4267 |=================================================================== 3 . 4268 |=================================================================== HPC Challenge 1.5.0 Test / Class: G-HPL GFLOPS > Higher Is Better 1 . 54.60 |==================================================================== 2 . 52.78 |================================================================== 3 . 54.31 |==================================================================== HPC Challenge 1.5.0 Test / Class: G-Ffte GFLOPS > Higher Is Better 1 . 10.04669 |================================================================= 2 . 9.74083 |=============================================================== 3 . 9.67646 |=============================================================== HPC Challenge 1.5.0 Test / Class: EP-DGEMM GFLOPS > Higher Is Better 1 . 12.61727 |=============================================================== 2 . 8.80303 |============================================ 3 . 13.03417 |================================================================= HPC Challenge 1.5.0 Test / Class: G-Ptrans GB/s > Higher Is Better 1 . 4.00164 |============================================================= 2 . 4.34106 |================================================================== 3 . 4.17428 |=============================================================== HPC Challenge 1.5.0 Test / Class: EP-STREAM Triad GB/s > Higher Is Better 1 . 1.30966 |================================================================= 2 . 1.30771 |================================================================ 3 . 1.33820 |================================================================== HPC Challenge 1.5.0 Test / Class: G-Random Access GUP/s > Higher Is Better 1 . 0.02819 |================================================================= 2 . 0.02798 |================================================================ 3 . 0.02866 |================================================================== HPC Challenge 1.5.0 Test / Class: Random Ring Latency usecs < Lower Is Better 1 . 1.53681 |================================================================== 2 . 1.53453 |================================================================== 3 . 1.53509 |================================================================== HPC Challenge 1.5.0 Test / Class: Random Ring Bandwidth GB/s > Higher Is Better 1 . 0.57120 |=============================================================== 2 . 0.58300 |================================================================= 3 . 0.59385 |================================================================== HPC Challenge 1.5.0 Test / Class: Max Ping Pong Bandwidth MB/s > Higher Is Better 1 . 10862.04 |================================================================ 2 . 10831.97 |================================================================ 3 . 10972.49 |================================================================= CLOMP 1.2 Static OMP Speedup Speedup > Higher Is Better 1 . 51.7 |===================================================================== 2 . 51.6 |===================================================================== 3 . 51.8 |===================================================================== Timed HMMer Search 3.3.1 Pfam Database Search Seconds < Lower Is Better 1 . 163.94 |=================================================================== 2 . 162.56 |================================================================== 3 . 161.63 |================================================================== Timed MAFFT Alignment 7.471 Multiple Sequence Alignment - LSU RNA Seconds < Lower Is Better 1 . 12.15 |=================================================================== 2 . 12.26 |==================================================================== 3 . 12.16 |=================================================================== LAMMPS Molecular Dynamics Simulator 29Oct2020 Model: 20k Atoms ns/day > Higher Is Better 1 . 15.50 |==================================================================== 2 . 15.42 |==================================================================== 3 . 15.19 |=================================================================== LAMMPS Molecular Dynamics Simulator 29Oct2020 Model: Rhodopsin Protein ns/day > Higher Is Better 1 . 13.40 |==================================================================== 2 . 12.91 |================================================================== 3 . 12.55 |================================================================ simdjson 0.7.1 Throughput Test: Kostya GB/s > Higher Is Better 1 . 0.44 |===================================================================== 2 . 0.44 |===================================================================== 3 . 0.44 |===================================================================== simdjson 0.7.1 Throughput Test: LargeRandom GB/s > Higher Is Better 1 . 0.39 |=================================================================== 2 . 0.39 |=================================================================== 3 . 0.40 |===================================================================== simdjson 0.7.1 Throughput Test: PartialTweets GB/s > Higher Is Better 1 . 0.51 |===================================================================== 2 . 0.50 |==================================================================== 3 . 0.51 |===================================================================== simdjson 0.7.1 Throughput Test: DistinctUserID GB/s > Higher Is Better 1 . 0.52 |===================================================================== 2 . 0.52 |===================================================================== 3 . 0.52 |===================================================================== LZ4 Compression 1.9.3 Compression Level: 1 - Compression Speed MB/s > Higher Is Better 1 . 8518.04 |================================================================= 2 . 8619.84 |================================================================== 3 . 8508.64 |================================================================= LZ4 Compression 1.9.3 Compression Level: 1 - Decompression Speed MB/s > Higher Is Better 1 . 9506.2 |================================================================== 2 . 9647.9 |=================================================================== 3 . 9540.0 |================================================================== LZ4 Compression 1.9.3 Compression Level: 3 - Compression Speed MB/s > Higher Is Better 1 . 47.46 |==================================================================== 2 . 47.12 |==================================================================== 3 . 46.87 |=================================================================== LZ4 Compression 1.9.3 Compression Level: 3 - Decompression Speed MB/s > Higher Is Better 1 . 9128.2 |=================================================================== 2 . 9191.9 |=================================================================== 3 . 9188.3 |=================================================================== LZ4 Compression 1.9.3 Compression Level: 9 - Compression Speed MB/s > Higher Is Better 1 . 46.60 |=================================================================== 2 . 47.55 |==================================================================== 3 . 45.94 |================================================================== LZ4 Compression 1.9.3 Compression Level: 9 - Decompression Speed MB/s > Higher Is Better 1 . 9106.9 |================================================================== 2 . 9217.2 |=================================================================== 3 . 9130.5 |================================================================== Zstd Compression 1.4.5 Compression Level: 3 MB/s > Higher Is Better 1 . 3606.7 |================================================================ 2 . 3798.9 |=================================================================== 3 . 3781.2 |=================================================================== Zstd Compression 1.4.5 Compression Level: 19 MB/s > Higher Is Better 1 . 33.9 |======================================================== 2 . 42.0 |===================================================================== 3 . 36.2 |=========================================================== Crafty 25.2 Elapsed Time Nodes Per Second > Higher Is Better 1 . 7329531 |================================================================== 2 . 7371374 |================================================================== 3 . 7366701 |================================================================== oneDNN 2.0 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 6.27715 |================================================================== 2 . 6.25011 |================================================================== 3 . 6.21623 |================================================================= oneDNN 2.0 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 11.47 |==================================================================== 2 . 11.21 |================================================================== 3 . 10.93 |================================================================= oneDNN 2.0 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 2.12408 |================================================================== 2 . 2.10893 |================================================================= 3 . 2.12611 |================================================================== oneDNN 2.0 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 3.45370 |================================================================= 2 . 3.49064 |================================================================== 3 . 3.51087 |================================================================== oneDNN 2.0 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 19.97 |=================================================================== 2 . 20.15 |==================================================================== 3 . 20.25 |==================================================================== oneDNN 2.0 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 2.99559 |================================================================== 2 . 3.01721 |================================================================== 3 . 3.01645 |================================================================== oneDNN 2.0 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 5.92604 |================================================================== 2 . 5.93856 |================================================================== 3 . 5.92300 |================================================================== oneDNN 2.0 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 25.16 |==================================================================== 2 . 25.10 |==================================================================== 3 . 25.10 |==================================================================== oneDNN 2.0 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 3.69657 |================================================================= 2 . 3.76164 |================================================================== 3 . 3.41699 |============================================================ oneDNN 2.0 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 3.43727 |================================================================= 2 . 3.44980 |================================================================== 3 . 3.46909 |================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 13861.2 |================================================================== 2 . 13529.0 |================================================================ 3 . 13753.9 |================================================================= oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 3749.18 |================================================================= 2 . 3782.36 |================================================================== 3 . 3783.40 |================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 13991.1 |================================================================== 2 . 13295.0 |=============================================================== 3 . 13669.2 |================================================================ oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 3802.52 |================================================================== 2 . 3821.24 |================================================================== 3 . 3711.96 |================================================================ oneDNN 2.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 1.65767 |==================================================== 2 . 2.09567 |================================================================== 3 . 2.00984 |=============================================================== oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better 1 . 13826.2 |================================================================== 2 . 13783.3 |================================================================== 3 . 13668.4 |================================================================= oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better 1 . 3808.57 |================================================================== 2 . 3780.47 |================================================================== 3 . 3777.65 |================================================================= oneDNN 2.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 1.46928 |================================================================= 2 . 1.48549 |================================================================== 3 . 1.48957 |================================================================== Embree 3.9.0 Binary: Pathtracer - Model: Crown Frames Per Second > Higher Is Better 1 . 24.02 |================================================================== 2 . 24.62 |==================================================================== 3 . 24.36 |=================================================================== Embree 3.9.0 Binary: Pathtracer ISPC - Model: Crown Frames Per Second > Higher Is Better 1 . 22.73 |==================================================================== 2 . 22.24 |=================================================================== 3 . 22.65 |==================================================================== Embree 3.9.0 Binary: Pathtracer - Model: Asian Dragon Frames Per Second > Higher Is Better 1 . 21.96 |================================================================== 2 . 22.50 |==================================================================== 3 . 22.27 |=================================================================== Embree 3.9.0 Binary: Pathtracer - Model: Asian Dragon Obj Frames Per Second > Higher Is Better 1 . 18.24 |================================================================ 2 . 19.30 |==================================================================== 3 . 19.40 |==================================================================== Embree 3.9.0 Binary: Pathtracer ISPC - Model: Asian Dragon Frames Per Second > Higher Is Better 1 . 21.32 |=================================================================== 2 . 21.67 |==================================================================== 3 . 21.56 |==================================================================== Embree 3.9.0 Binary: Pathtracer ISPC - Model: Asian Dragon Obj Frames Per Second > Higher Is Better 1 . 17.68 |==================================================================== 2 . 17.24 |================================================================== 3 . 17.40 |=================================================================== Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Slow Frames Per Second > Higher Is Better 1 . 10.29 |=================================================================== 2 . 10.38 |==================================================================== 3 . 10.32 |==================================================================== Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Medium Frames Per Second > Higher Is Better 1 . 10.47 |=================================================================== 2 . 10.56 |==================================================================== 3 . 10.53 |==================================================================== Kvazaar 2.0 Video Input: Bosphorus 1080p - Video Preset: Slow Frames Per Second > Higher Is Better 1 . 26.99 |==================================================================== 2 . 27.13 |==================================================================== 3 . 26.92 |=================================================================== Kvazaar 2.0 Video Input: Bosphorus 1080p - Video Preset: Medium Frames Per Second > Higher Is Better 1 . 27.69 |==================================================================== 2 . 27.84 |==================================================================== 3 . 27.78 |==================================================================== Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Very Fast Frames Per Second > Higher Is Better 1 . 23.54 |==================================================================== 2 . 23.57 |==================================================================== 3 . 23.61 |==================================================================== Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Ultra Fast Frames Per Second > Higher Is Better 1 . 39.68 |==================================================================== 2 . 39.67 |==================================================================== 3 . 39.39 |==================================================================== Kvazaar 2.0 Video Input: Bosphorus 1080p - Video Preset: Very Fast Frames Per Second > Higher Is Better 1 . 60.69 |==================================================================== 2 . 60.69 |==================================================================== 3 . 60.79 |==================================================================== Kvazaar 2.0 Video Input: Bosphorus 1080p - Video Preset: Ultra Fast Frames Per Second > Higher Is Better 1 . 116.80 |=================================================================== 2 . 116.09 |=================================================================== 3 . 116.68 |=================================================================== rav1e 0.4 Alpha Speed: 1 Frames Per Second > Higher Is Better 1 . 0.315 |=================================================================== 2 . 0.320 |==================================================================== 3 . 0.318 |==================================================================== rav1e 0.4 Alpha Speed: 5 Frames Per Second > Higher Is Better 1 . 0.954 |==================================================================== 2 . 0.951 |==================================================================== 3 . 0.953 |==================================================================== rav1e 0.4 Alpha Speed: 6 Frames Per Second > Higher Is Better 1 . 1.270 |==================================================================== 2 . 1.273 |==================================================================== 3 . 1.274 |==================================================================== rav1e 0.4 Alpha Speed: 10 Frames Per Second > Higher Is Better 1 . 2.859 |==================================================================== 2 . 2.830 |=================================================================== 3 . 2.853 |==================================================================== x265 3.4 Video Input: Bosphorus 4K Frames Per Second > Higher Is Better 1 . 16.62 |==================================================================== 2 . 15.26 |============================================================== 3 . 16.55 |==================================================================== x265 3.4 Video Input: Bosphorus 1080p Frames Per Second > Higher Is Better 1 . 41.02 |==================================================================== 2 . 40.36 |=================================================================== 3 . 41.06 |==================================================================== Coremark 1.0 CoreMark Size 666 - Iterations Per Second Iterations/Sec > Higher Is Better 1 . 1146059.29 |=============================================================== 2 . 1148000.04 |=============================================================== 3 . 1146667.41 |=============================================================== Stockfish 12 Total Time Nodes Per Second > Higher Is Better 1 . 49821254 |========================================================== 2 . 55404772 |================================================================= 3 . 54984012 |================================================================= asmFish 2018-07-23 1024 Hash Memory, 26 Depth Nodes/second > Higher Is Better 1 . 73804001 |================================================================ 2 . 74895187 |================================================================= 3 . 72630737 |=============================================================== Timed Clash Compilation Time To Compile Seconds < Lower Is Better 1 . 463.22 |================================================================ 2 . 477.08 |================================================================== 3 . 485.49 |=================================================================== Timed FFmpeg Compilation 4.2.2 Time To Compile Seconds < Lower Is Better 1 . 46.08 |==================================================================== 2 . 30.92 |============================================== 3 . 32.70 |================================================ Build2 0.13 Time To Compile Seconds < Lower Is Better 1 . 96.20 |==================================================================== 2 . 96.34 |==================================================================== Numpy Benchmark Score > Higher Is Better 1 . 296.80 |=================================================================== 2 . 298.31 |=================================================================== 3 . 295.79 |================================================================== Timed Eigen Compilation 3.3.9 Time To Compile Seconds < Lower Is Better 1 . 93.25 |==================================================================== 2 . 92.98 |==================================================================== 3 . 93.06 |==================================================================== Monkey Audio Encoding 3.99.6 WAV To APE Seconds < Lower Is Better 1 . 14.03 |==================================================================== 2 . 14.01 |==================================================================== 3 . 14.04 |==================================================================== Opus Codec Encoding 1.3.1 WAV To Opus Encode Seconds < Lower Is Better 1 . 7.753 |==================================================================== 2 . 7.795 |==================================================================== 3 . 7.774 |==================================================================== eSpeak-NG Speech Engine 20200907 Text-To-Speech Synthesis Seconds < Lower Is Better 1 . 30.85 |=================================================================== 2 . 31.15 |==================================================================== 3 . 31.03 |==================================================================== Node.js V8 Web Tooling Benchmark runs/s > Higher Is Better 1 . 8.47 |===================================================================== 2 . 8.25 |=================================================================== 3 . 8.21 |=================================================================== GROMACS 2020.3 Water Benchmark Ns Per Day > Higher Is Better 1 . 1.834 |=================================================================== 2 . 1.858 |==================================================================== 3 . 1.837 |=================================================================== ASTC Encoder 2.0 Preset: Fast Seconds < Lower Is Better 1 . 5.22 |===================================================================== 2 . 5.22 |===================================================================== 3 . 5.20 |===================================================================== ASTC Encoder 2.0 Preset: Medium Seconds < Lower Is Better 1 . 6.34 |===================================================================== 2 . 6.32 |===================================================================== 3 . 6.35 |===================================================================== ASTC Encoder 2.0 Preset: Thorough Seconds < Lower Is Better 1 . 9.54 |===================================================================== 2 . 9.49 |===================================================================== 3 . 9.45 |==================================================================== ASTC Encoder 2.0 Preset: Exhaustive Seconds < Lower Is Better 1 . 73.36 |==================================================================== 2 . 73.14 |==================================================================== 3 . 73.10 |==================================================================== Basis Universal 1.12 Settings: ETC1S Seconds < Lower Is Better 1 . 47.60 |=================================================================== 2 . 47.60 |=================================================================== 3 . 48.16 |==================================================================== Basis Universal 1.12 Settings: UASTC Level 0 Seconds < Lower Is Better 1 . 7.595 |==================================================================== 2 . 7.626 |==================================================================== 3 . 7.600 |==================================================================== Basis Universal 1.12 Settings: UASTC Level 2 Seconds < Lower Is Better 1 . 15.79 |==================================================================== 2 . 15.79 |==================================================================== 3 . 15.76 |==================================================================== Basis Universal 1.12 Settings: UASTC Level 3 Seconds < Lower Is Better 1 . 25.23 |==================================================================== 2 . 25.22 |==================================================================== 3 . 25.14 |==================================================================== Basis Universal 1.12 Settings: UASTC Level 2 + RDO Post-Processing Seconds < Lower Is Better 1 . 651.21 |=================================================================== 2 . 647.92 |=================================================================== 3 . 647.09 |=================================================================== SQLite Speedtest 3.30 Timed Time - Size 1,000 Seconds < Lower Is Better 1 . 67.21 |==================================================================== 2 . 67.46 |==================================================================== 3 . 67.25 |==================================================================== Redis 6.0.9 Test: LPOP Requests Per Second > Higher Is Better 1 . 2431710.35 |=============================================================== 2 . 2058658.41 |===================================================== 3 . 1998586.16 |==================================================== Redis 6.0.9 Test: SADD Requests Per Second > Higher Is Better 1 . 1892562.21 |============================================================ 2 . 1826296.85 |========================================================== 3 . 1974193.46 |=============================================================== Redis 6.0.9 Test: LPUSH Requests Per Second > Higher Is Better 1 . 1368828.88 |=============================================================== 2 . 1340079.29 |============================================================== 3 . 1366164.67 |=============================================================== Redis 6.0.9 Test: GET Requests Per Second > Higher Is Better 1 . 2201882.03 |=============================================================== 2 . 2099666.52 |============================================================ 3 . 2091130.67 |============================================================ Redis 6.0.9 Test: SET Requests Per Second > Higher Is Better 1 . 1675529.38 |=============================================================== 2 . 1654163.60 |============================================================== 3 . 1577289.79 |=========================================================== NCNN 20201218 Target: CPU - Model: mobilenet ms < Lower Is Better 1 . 37.24 |==================================================================== 2 . 34.56 |=============================================================== 3 . 34.91 |================================================================ NCNN 20201218 Target: CPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better 1 . 15.67 |==================================================================== 2 . 15.60 |=================================================================== 3 . 15.78 |==================================================================== NCNN 20201218 Target: CPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better 1 . 14.44 |=============================================================== 2 . 15.70 |==================================================================== 3 . 15.21 |================================================================== NCNN 20201218 Target: CPU - Model: shufflenet-v2 ms < Lower Is Better 1 . 15.28 |==================================================================== 2 . 14.42 |================================================================ 3 . 15.30 |==================================================================== NCNN 20201218 Target: CPU - Model: mnasnet ms < Lower Is Better 1 . 13.60 |================================================================ 2 . 14.50 |==================================================================== 3 . 14.17 |================================================================== NCNN 20201218 Target: CPU - Model: efficientnet-b0 ms < Lower Is Better 1 . 20.01 |================================================================= 2 . 20.92 |==================================================================== 3 . 18.97 |============================================================== NCNN 20201218 Target: CPU - Model: blazeface ms < Lower Is Better 1 . 6.83 |============================================================== 2 . 6.67 |============================================================ 3 . 7.65 |===================================================================== NCNN 20201218 Target: CPU - Model: googlenet ms < Lower Is Better 1 . 47.87 |==================================================================== 2 . 42.04 |============================================================ 3 . 42.95 |============================================================= NCNN 20201218 Target: CPU - Model: vgg16 ms < Lower Is Better 1 . 102.38 |=================================================================== 2 . 92.98 |============================================================= 3 . 95.61 |=============================================================== NCNN 20201218 Target: CPU - Model: resnet18 ms < Lower Is Better 1 . 59.91 |=============================================================== 2 . 54.29 |========================================================= 3 . 64.49 |==================================================================== NCNN 20201218 Target: CPU - Model: alexnet ms < Lower Is Better 1 . 37.72 |==================================================================== 2 . 34.34 |============================================================== 3 . 35.69 |================================================================ NCNN 20201218 Target: CPU - Model: resnet50 ms < Lower Is Better 1 . 79.53 |==================================================================== 2 . 75.03 |================================================================ 3 . 73.65 |=============================================================== NCNN 20201218 Target: CPU - Model: yolov4-tiny ms < Lower Is Better 1 . 50.19 |==================================================================== 2 . 49.69 |=================================================================== 3 . 49.25 |=================================================================== NCNN 20201218 Target: CPU - Model: squeezenet_ssd ms < Lower Is Better 1 . 41.89 |==================================================================== 2 . 40.80 |================================================================== 3 . 39.13 |================================================================ NCNN 20201218 Target: CPU - Model: regnety_400m ms < Lower Is Better 1 . 102.93 |================================================================== 2 . 101.47 |================================================================= 3 . 103.89 |=================================================================== NCNN 20201218 Target: Vulkan GPU - Model: mobilenet ms < Lower Is Better 1 . 37.30 |==================================================================== 2 . 33.78 |============================================================== 3 . 34.39 |=============================================================== NCNN 20201218 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better 1 . 15.59 |================================================================= 2 . 16.30 |==================================================================== 3 . 14.97 |============================================================== NCNN 20201218 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better 1 . 14.58 |============================================================== 2 . 14.22 |============================================================= 3 . 15.95 |==================================================================== NCNN 20201218 Target: Vulkan GPU - Model: shufflenet-v2 ms < Lower Is Better 1 . 14.92 |================================================================ 2 . 14.65 |=============================================================== 3 . 15.75 |==================================================================== NCNN 20201218 Target: Vulkan GPU - Model: mnasnet ms < Lower Is Better 1 . 15.64 |================================================================= 2 . 16.26 |==================================================================== 3 . 13.77 |========================================================== NCNN 20201218 Target: Vulkan GPU - Model: efficientnet-b0 ms < Lower Is Better 1 . 19.14 |================================================================ 2 . 19.28 |================================================================ 3 . 20.49 |==================================================================== NCNN 20201218 Target: Vulkan GPU - Model: blazeface ms < Lower Is Better 1 . 9.82 |===================================================================== 2 . 7.40 |==================================================== 3 . 7.09 |================================================== NCNN 20201218 Target: Vulkan GPU - Model: googlenet ms < Lower Is Better 1 . 41.08 |==================================================================== 2 . 38.90 |================================================================ 3 . 38.32 |=============================================================== NCNN 20201218 Target: Vulkan GPU - Model: vgg16 ms < Lower Is Better 1 . 103.41 |=================================================================== 2 . 100.73 |================================================================= 3 . 100.17 |================================================================= NCNN 20201218 Target: Vulkan GPU - Model: resnet18 ms < Lower Is Better 1 . 55.89 |=================================================================== 2 . 53.19 |================================================================ 3 . 56.35 |==================================================================== NCNN 20201218 Target: Vulkan GPU - Model: alexnet ms < Lower Is Better 1 . 33.56 |================================================================ 2 . 32.39 |============================================================= 3 . 35.93 |==================================================================== NCNN 20201218 Target: Vulkan GPU - Model: resnet50 ms < Lower Is Better 1 . 72.06 |================================================================== 2 . 73.86 |==================================================================== 3 . 70.92 |================================================================= NCNN 20201218 Target: Vulkan GPU - Model: yolov4-tiny ms < Lower Is Better 1 . 50.25 |==================================================================== 2 . 50.57 |==================================================================== 3 . 48.23 |================================================================= NCNN 20201218 Target: Vulkan GPU - Model: squeezenet_ssd ms < Lower Is Better 1 . 41.28 |==================================================================== 2 . 40.01 |================================================================== 3 . 39.14 |================================================================ NCNN 20201218 Target: Vulkan GPU - Model: regnety_400m ms < Lower Is Better 1 . 101.01 |=================================================================== 2 . 100.26 |================================================================== 3 . 101.27 |=================================================================== IndigoBench 4.4 Acceleration: CPU - Scene: Bedroom M samples/s > Higher Is Better 1 . 5.036 |==================================================================== 2 . 4.994 |=================================================================== 3 . 5.057 |==================================================================== IndigoBench 4.4 Acceleration: CPU - Scene: Supercar M samples/s > Higher Is Better 1 . 11.04 |==================================================================== 2 . 10.96 |==================================================================== 3 . 11.04 |==================================================================== AI Benchmark Alpha 0.1.2 Device Inference Score Score > Higher Is Better 1 . 1304 |==================================================================== 2 . 1319 |===================================================================== AI Benchmark Alpha 0.1.2 Device Training Score Score > Higher Is Better 1 . 966 |==================================================================== 2 . 998 |====================================================================== AI Benchmark Alpha 0.1.2 Device AI Score Score > Higher Is Better 1 . 2270 |==================================================================== 2 . 2317 |===================================================================== PHPBench 0.8.1 PHP Benchmark Suite Score > Higher Is Better 1 . 577229 |=================================================================== 2 . 579360 |=================================================================== WavPack Audio Encoding 5.3 WAV To WavPack Seconds < Lower Is Better 1 . 13.20 |==================================================================== 2 . 13.22 |==================================================================== Sunflow Rendering System 0.07.2 Global Illumination + Image Synthesis Seconds < Lower Is Better 1 . 0.789 |==================================================================== 2 . 0.731 |=============================================================== BRL-CAD 7.30.8 VGR Performance Metric VGR Performance Metric > Higher Is Better 1 . 286847 |================================================================== 2 . 291013 |===================================================================