1080XE Linux Intel Core i9-10980XE testing with a ASRock X299 Steel Legend (P1.30 BIOS) and NVIDIA NV132 11GB on Ubuntu 20.04 via the Phoronix Test Suite. Intel Core i9-10980XE: Processor: Intel Core i9-10980XE @ 4.80GHz (18 Cores / 36 Threads), Motherboard: ASRock X299 Steel Legend (P1.30 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 32GB, Disk: Samsung SSD 970 PRO 512GB, Graphics: NVIDIA NV132 11GB, Audio: Realtek ALC1220, Monitor: DELL P2415Q, Network: Intel I219-V + Intel I211 OS: Ubuntu 20.04, Kernel: 5.4.0-18-generic (x86_64), Desktop: GNOME Shell 3.35.91, Display Server: X Server 1.20.7, Display Driver: modesetting 1.20.7, OpenGL: 4.3 Mesa 20.0.0, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 3840x2160 toyBrot Fractal Generator Implementation: OpenMP ms < Lower Is Better Intel Core i9-10980XE . 61076 |================================================ toyBrot Fractal Generator Implementation: C++ Tasks ms < Lower Is Better Intel Core i9-10980XE . 57380 |================================================ toyBrot Fractal Generator Implementation: C++ Threads ms < Lower Is Better Intel Core i9-10980XE . 57441 |================================================ lzbench 1.8 Test: XZ 0 - Process: Compression MB/s > Higher Is Better Intel Core i9-10980XE . 47 |=================================================== lzbench 1.8 Test: XZ 0 - Process: Decompression MB/s > Higher Is Better Intel Core i9-10980XE . 127 |================================================== lzbench 1.8 Test: Zstd 1 - Process: Compression MB/s > Higher Is Better Intel Core i9-10980XE . 551 |================================================== lzbench 1.8 Test: Zstd 1 - Process: Decompression MB/s > Higher Is Better Intel Core i9-10980XE . 1501 |================================================= lzbench 1.8 Test: Zstd 8 - Process: Compression MB/s > Higher Is Better Intel Core i9-10980XE . 92 |=================================================== lzbench 1.8 Test: Zstd 8 - Process: Decompression MB/s > Higher Is Better Intel Core i9-10980XE . 1484 |================================================= lzbench 1.8 Test: Crush 0 - Process: Compression MB/s > Higher Is Better Intel Core i9-10980XE . 120 |================================================== lzbench 1.8 Test: Crush 0 - Process: Decompression MB/s > Higher Is Better Intel Core i9-10980XE . 528 |================================================== lzbench 1.8 Test: Brotli 0 - Process: Compression MB/s > Higher Is Better Intel Core i9-10980XE . 502 |================================================== lzbench 1.8 Test: Brotli 0 - Process: Decompression MB/s > Higher Is Better Intel Core i9-10980XE . 706 |================================================== lzbench 1.8 Test: Brotli 2 - Process: Compression MB/s > Higher Is Better Intel Core i9-10980XE . 220 |================================================== lzbench 1.8 Test: Brotli 2 - Process: Decompression MB/s > Higher Is Better Intel Core i9-10980XE . 819 |================================================== lzbench 1.8 Test: Libdeflate 1 - Process: Compression MB/s > Higher Is Better Intel Core i9-10980XE . 245 |================================================== lzbench 1.8 Test: Libdeflate 1 - Process: Decompression MB/s > Higher Is Better Intel Core i9-10980XE . 1328 |================================================= SMHasher 2020-02-29 Hash: wyhash MiB/sec > Higher Is Better Intel Core i9-10980XE . 23045.63 |============================================= SMHasher 2020-02-29 Hash: wyhash cycles/hash < Lower Is Better Intel Core i9-10980XE . 21.05 |================================================ SMHasher 2020-02-29 Hash: MeowHash MiB/sec > Higher Is Better Intel Core i9-10980XE . 49652.25 |============================================= SMHasher 2020-02-29 Hash: MeowHash cycles/hash < Lower Is Better Intel Core i9-10980XE . 45.48 |================================================ SMHasher 2020-02-29 Hash: Spooky32 MiB/sec > Higher Is Better Intel Core i9-10980XE . 18569.11 |============================================= SMHasher 2020-02-29 Hash: Spooky32 cycles/hash < Lower Is Better Intel Core i9-10980XE . 35.38 |================================================ SMHasher 2020-02-29 Hash: fasthash32 MiB/sec > Higher Is Better Intel Core i9-10980XE . 9128.99 |============================================== SMHasher 2020-02-29 Hash: fasthash32 cycles/hash < Lower Is Better Intel Core i9-10980XE . 27.56 |================================================ SMHasher 2020-02-29 Hash: t1ha2_atonce MiB/sec > Higher Is Better Intel Core i9-10980XE . 21360.37 |============================================= SMHasher 2020-02-29 Hash: t1ha2_atonce cycles/hash < Lower Is Better Intel Core i9-10980XE . 27.44 |================================================ SMHasher 2020-02-29 Hash: t1ha0_aes_avx2 MiB/sec > Higher Is Better Intel Core i9-10980XE . 64427.43 |============================================= SMHasher 2020-02-29 Hash: t1ha0_aes_avx2 cycles/hash < Lower Is Better Intel Core i9-10980XE . 27.90 |================================================ FFTW 3.3.6 Build: Stock - Size: 1D FFT Size 32 Mflops > Higher Is Better Intel Core i9-10980XE . 9348.4 |=============================================== FFTW 3.3.6 Build: Stock - Size: 1D FFT Size 64 Mflops > Higher Is Better Intel Core i9-10980XE . 7741.3 |=============================================== FFTW 3.3.6 Build: Stock - Size: 2D FFT Size 32 Mflops > Higher Is Better Intel Core i9-10980XE . 8174.5 |=============================================== FFTW 3.3.6 Build: Stock - Size: 2D FFT Size 64 Mflops > Higher Is Better Intel Core i9-10980XE . 7688.6 |=============================================== FFTW 3.3.6 Build: Stock - Size: 1D FFT Size 128 Mflops > Higher Is Better Intel Core i9-10980XE . 7368.5 |=============================================== FFTW 3.3.6 Build: Stock - Size: 1D FFT Size 256 Mflops > Higher Is Better Intel Core i9-10980XE . 8319.0 |=============================================== FFTW 3.3.6 Build: Stock - Size: 1D FFT Size 512 Mflops > Higher Is Better Intel Core i9-10980XE . 9159.9 |=============================================== FFTW 3.3.6 Build: Stock - Size: 2D FFT Size 128 Mflops > Higher Is Better Intel Core i9-10980XE . 9082.7 |=============================================== FFTW 3.3.6 Build: Stock - Size: 2D FFT Size 256 Mflops > Higher Is Better Intel Core i9-10980XE . 7821.0 |=============================================== FFTW 3.3.6 Build: Stock - Size: 2D FFT Size 512 Mflops > Higher Is Better Intel Core i9-10980XE . 7532.7 |=============================================== FFTW 3.3.6 Build: Stock - Size: 1D FFT Size 1024 Mflops > Higher Is Better Intel Core i9-10980XE . 9090.2 |=============================================== FFTW 3.3.6 Build: Stock - Size: 1D FFT Size 2048 Mflops > Higher Is Better Intel Core i9-10980XE . 8639.4 |=============================================== FFTW 3.3.6 Build: Stock - Size: 1D FFT Size 4096 Mflops > Higher Is Better Intel Core i9-10980XE . 8742.1 |=============================================== FFTW 3.3.6 Build: Stock - Size: 2D FFT Size 1024 Mflops > Higher Is Better Intel Core i9-10980XE . 7470.8 |=============================================== FFTW 3.3.6 Build: Stock - Size: 2D FFT Size 2048 Mflops > Higher Is Better Intel Core i9-10980XE . 6225.7 |=============================================== FFTW 3.3.6 Build: Stock - Size: 2D FFT Size 4096 Mflops > Higher Is Better Intel Core i9-10980XE . 5815.0 |=============================================== FFTW 3.3.6 Build: Float + SSE - Size: 1D FFT Size 32 Mflops > Higher Is Better Intel Core i9-10980XE . 15473 |================================================ FFTW 3.3.6 Build: Float + SSE - Size: 1D FFT Size 64 Mflops > Higher Is Better Intel Core i9-10980XE . 20197 |================================================ FFTW 3.3.6 Build: Float + SSE - Size: 2D FFT Size 32 Mflops > Higher Is Better Intel Core i9-10980XE . 39480 |================================================ FFTW 3.3.6 Build: Float + SSE - Size: 2D FFT Size 64 Mflops > Higher Is Better Intel Core i9-10980XE . 41365 |================================================ FFTW 3.3.6 Build: Float + SSE - Size: 1D FFT Size 128 Mflops > Higher Is Better Intel Core i9-10980XE . 23930 |================================================ FFTW 3.3.6 Build: Float + SSE - Size: 1D FFT Size 256 Mflops > Higher Is Better Intel Core i9-10980XE . 41174 |================================================ FFTW 3.3.6 Build: Float + SSE - Size: 1D FFT Size 512 Mflops > Higher Is Better Intel Core i9-10980XE . 53750 |================================================ FFTW 3.3.6 Build: Float + SSE - Size: 2D FFT Size 128 Mflops > Higher Is Better Intel Core i9-10980XE . 32346 |================================================ FFTW 3.3.6 Build: Float + SSE - Size: 2D FFT Size 256 Mflops > Higher Is Better Intel Core i9-10980XE . 27248 |================================================ FFTW 3.3.6 Build: Float + SSE - Size: 2D FFT Size 512 Mflops > Higher Is Better Intel Core i9-10980XE . 26566 |================================================ FFTW 3.3.6 Build: Float + SSE - Size: 1D FFT Size 1024 Mflops > Higher Is Better Intel Core i9-10980XE . 64013 |================================================ FFTW 3.3.6 Build: Float + SSE - Size: 1D FFT Size 2048 Mflops > Higher Is Better Intel Core i9-10980XE . 62453 |================================================ FFTW 3.3.6 Build: Float + SSE - Size: 1D FFT Size 4096 Mflops > Higher Is Better Intel Core i9-10980XE . 59791 |================================================ FFTW 3.3.6 Build: Float + SSE - Size: 2D FFT Size 1024 Mflops > Higher Is Better Intel Core i9-10980XE . 25883 |================================================ FFTW 3.3.6 Build: Float + SSE - Size: 2D FFT Size 2048 Mflops > Higher Is Better Intel Core i9-10980XE . 23142 |================================================ FFTW 3.3.6 Build: Float + SSE - Size: 2D FFT Size 4096 Mflops > Higher Is Better Intel Core i9-10980XE . 18701 |================================================ MKL-DNN DNNL 1.1 Harness: IP Batch 1D - Data Type: f32 ms < Lower Is Better Intel Core i9-10980XE . 5.38576 |============================================== MKL-DNN DNNL 1.1 Harness: IP Batch All - Data Type: f32 ms < Lower Is Better Intel Core i9-10980XE . 17.41 |================================================ MKL-DNN DNNL 1.1 Harness: IP Batch 1D - Data Type: u8s8f32 ms < Lower Is Better Intel Core i9-10980XE . 0.649125 |============================================= MKL-DNN DNNL 1.1 Harness: IP Batch All - Data Type: u8s8f32 ms < Lower Is Better Intel Core i9-10980XE . 5.91631 |============================================== MKL-DNN DNNL 1.1 Harness: IP Batch 1D - Data Type: bf16bf16bf16 ms < Lower Is Better Intel Core i9-10980XE . 5.70514 |============================================== MKL-DNN DNNL 1.1 Harness: IP Batch All - Data Type: bf16bf16bf16 ms < Lower Is Better Intel Core i9-10980XE . 20.31 |================================================ MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_3d - Data Type: f32 ms < Lower Is Better Intel Core i9-10980XE . 12.84 |================================================ MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_all - Data Type: f32 ms < Lower Is Better Intel Core i9-10980XE . 1138.42 |============================================== MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_3d - Data Type: u8s8f32 ms < Lower Is Better Intel Core i9-10980XE . 7651.80 |============================================== MKL-DNN DNNL 1.1 Harness: Deconvolution Batch deconv_1d - Data Type: f32 ms < Lower Is Better Intel Core i9-10980XE . 1.82225 |============================================== MKL-DNN DNNL 1.1 Harness: Deconvolution Batch deconv_3d - Data Type: f32 ms < Lower Is Better Intel Core i9-10980XE . 2.62800 |============================================== MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_alexnet - Data Type: f32 ms < Lower Is Better Intel Core i9-10980XE . 126.74 |=============================================== MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_all - Data Type: u8s8f32 ms < Lower Is Better Intel Core i9-10980XE . 3766.52 |============================================== MKL-DNN DNNL 1.1 Harness: Deconvolution Batch deconv_all - Data Type: f32 ms < Lower Is Better Intel Core i9-10980XE . 1373.07 |============================================== MKL-DNN DNNL 1.1 Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 ms < Lower Is Better Intel Core i9-10980XE . 0.460571 |============================================= MKL-DNN DNNL 1.1 Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 ms < Lower Is Better Intel Core i9-10980XE . 4725.22 |============================================== MKL-DNN DNNL 1.1 Harness: Recurrent Neural Network Training - Data Type: f32 ms < Lower Is Better Intel Core i9-10980XE . 152.41 |=============================================== MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_3d - Data Type: bf16bf16bf16 ms < Lower Is Better Intel Core i9-10980XE . 19.91 |================================================ MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_alexnet - Data Type: u8s8f32 ms < Lower Is Better Intel Core i9-10980XE . 41.45 |================================================ MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_all - Data Type: bf16bf16bf16 ms < Lower Is Better Intel Core i9-10980XE . 4773.63 |============================================== MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_googlenet_v3 - Data Type: f32 ms < Lower Is Better Intel Core i9-10980XE . 64.69 |================================================ MKL-DNN DNNL 1.1 Harness: Deconvolution Batch deconv_1d - Data Type: bf16bf16bf16 ms < Lower Is Better Intel Core i9-10980XE . 8.63381 |============================================== MKL-DNN DNNL 1.1 Harness: Deconvolution Batch deconv_3d - Data Type: bf16bf16bf16 ms < Lower Is Better Intel Core i9-10980XE . 10.83 |================================================ MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_alexnet - Data Type: bf16bf16bf16 ms < Lower Is Better Intel Core i9-10980XE . 875.60 |=============================================== MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_googlenet_v3 - Data Type: u8s8f32 ms < Lower Is Better Intel Core i9-10980XE . 20.01 |================================================ MKL-DNN DNNL 1.1 Harness: Deconvolution Batch deconv_all - Data Type: bf16bf16bf16 ms < Lower Is Better Intel Core i9-10980XE . 3756.50 |============================================== MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_googlenet_v3 - Data Type: bf16bf16bf16 ms < Lower Is Better Intel Core i9-10980XE . 225.27 |=============================================== Timed GCC Compilation 9.3.0 Time To Compile Seconds < Lower Is Better Intel Core i9-10980XE . 954.72 |=============================================== Timed LLVM Compilation 10.0 Time To Compile Seconds < Lower Is Better Intel Core i9-10980XE . 369.53 |=============================================== LevelDB 1.22 Benchmark: Hot Read Microseconds Per Op < Lower Is Better Intel Core i9-10980XE . 26.84 |================================================ LevelDB 1.22 Benchmark: Fill Sync MB/s > Higher Is Better Intel Core i9-10980XE . 0.5 |================================================== LevelDB 1.22 Benchmark: Fill Sync Microseconds Per Op < Lower Is Better Intel Core i9-10980XE . 7817.14 |============================================== LevelDB 1.22 Benchmark: Overwrite MB/s > Higher Is Better Intel Core i9-10980XE . 10.5 |================================================= LevelDB 1.22 Benchmark: Overwrite Microseconds Per Op < Lower Is Better Intel Core i9-10980XE . 378.30 |=============================================== LevelDB 1.22 Benchmark: Random Fill MB/s > Higher Is Better Intel Core i9-10980XE . 10.5 |================================================= LevelDB 1.22 Benchmark: Random Fill Microseconds Per Op < Lower Is Better Intel Core i9-10980XE . 377.42 |=============================================== LevelDB 1.22 Benchmark: Random Read Microseconds Per Op < Lower Is Better Intel Core i9-10980XE . 27.40 |================================================ LevelDB 1.22 Benchmark: Seek Random Microseconds Per Op < Lower Is Better Intel Core i9-10980XE . 32.74 |================================================ LevelDB 1.22 Benchmark: Random Delete Microseconds Per Op < Lower Is Better Intel Core i9-10980XE . 371.89 |=============================================== LevelDB 1.22 Benchmark: Sequential Fill MB/s > Higher Is Better Intel Core i9-10980XE . 10.4 |================================================= LevelDB 1.22 Benchmark: Sequential Fill Microseconds Per Op < Lower Is Better Intel Core i9-10980XE . 382.17 |=============================================== Facebook RocksDB 6.3.6 Test: Random Fill Op/s > Higher Is Better Intel Core i9-10980XE . 1333309 |============================================== Facebook RocksDB 6.3.6 Test: Random Read Op/s > Higher Is Better Intel Core i9-10980XE . 93013702 |============================================= Facebook RocksDB 6.3.6 Test: Sequential Fill Op/s > Higher Is Better Intel Core i9-10980XE . 1520282 |============================================== Facebook RocksDB 6.3.6 Test: Random Fill Sync Op/s > Higher Is Better Intel Core i9-10980XE . 4691 |================================================= Facebook RocksDB 6.3.6 Test: Read While Writing Op/s > Higher Is Better Intel Core i9-10980XE . 4169333 |============================================== Numenta Anomaly Benchmark 1.1 Detector: EXPoSE Seconds < Lower Is Better Intel Core i9-10980XE . 798.17 |=============================================== Numenta Anomaly Benchmark 1.1 Detector: Relative Entropy Seconds < Lower Is Better Intel Core i9-10980XE . 13.55 |================================================ Numenta Anomaly Benchmark 1.1 Detector: Windowed Gaussian Seconds < Lower Is Better Intel Core i9-10980XE . 7.873 |================================================ Numenta Anomaly Benchmark 1.1 Detector: Earthgecko Skyline Seconds < Lower Is Better Intel Core i9-10980XE . 90.62 |================================================ Numenta Anomaly Benchmark 1.1 Detector: Bayesian Changepoint Seconds < Lower Is Better Intel Core i9-10980XE . 31.99 |================================================