EPYC 7702 April 2021 AMD EPYC 7702 64-Core testing with a ASRockRack EPYCD8 (P2.40 BIOS) and ASPEED on Ubuntu 20.04 via the Phoronix Test Suite. 1: Processor: AMD EPYC 7702 64-Core @ 2.00GHz (64 Cores / 128 Threads), Motherboard: ASRockRack EPYCD8 (P2.40 BIOS), Chipset: AMD Starship/Matisse, Memory: 126GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: ASPEED, Monitor: VE228, Network: 2 x Intel I350 OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc6daily20200921-generic (x86_64) 20200920, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 2: Processor: AMD EPYC 7702 64-Core @ 2.00GHz (64 Cores / 128 Threads), Motherboard: ASRockRack EPYCD8 (P2.40 BIOS), Chipset: AMD Starship/Matisse, Memory: 126GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: ASPEED, Monitor: VE228, Network: 2 x Intel I350 OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc6daily20200921-generic (x86_64) 20200920, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 3: Processor: AMD EPYC 7702 64-Core @ 2.00GHz (64 Cores / 128 Threads), Motherboard: ASRockRack EPYCD8 (P2.40 BIOS), Chipset: AMD Starship/Matisse, Memory: 126GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: ASPEED, Monitor: VE228, Network: 2 x Intel I350 OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc6daily20200921-generic (x86_64) 20200920, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 SVT-VP9 0.3 Tuning: VMAF Optimized - Input: Bosphorus 1080p Frames Per Second > Higher Is Better 1 . 238.14 |============================================ 2 . 361.00 |=================================================================== 3 . 360.74 |=================================================================== Timed Linux Kernel Compilation 5.10.20 Time To Compile Seconds < Lower Is Better 1 . 33.55 |==================================================================== 2 . 31.16 |=============================================================== 3 . 31.16 |=============================================================== AOM AV1 3.0 Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better 1 . 58.37 |==================================================================== 2 . 54.47 |=============================================================== 3 . 54.32 |=============================================================== Xcompact3d Incompact3d 2021-03-11 Input: input.i3d 129 Cells Per Direction Seconds < Lower Is Better 1 . 5.54909182 |=========================================================== 2 . 5.96101077 |=============================================================== 3 . 5.68558963 |============================================================ ViennaCL 1.7.1 Test: CPU BLAS - dGEMV-T GB/s > Higher Is Better 1 . 636 |==================================================================== 2 . 620 |================================================================== 3 . 653 |====================================================================== Zstd Compression 1.4.9 Compression Level: 8 - Compression Speed MB/s > Higher Is Better 1 . 2510.0 |=================================================================== 2 . 2441.1 |================================================================= 3 . 2386.1 |================================================================ toyBrot Fractal Generator 2020-11-18 Implementation: TBB ms < Lower Is Better 1 . 7471 |===================================================================== 2 . 7244 |=================================================================== 3 . 7119 |================================================================== oneDNN 2.1.2 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 0.911802 |================================================================= 2 . 0.872769 |============================================================== 3 . 0.893830 |================================================================ AOM AV1 3.0 Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K Frames Per Second > Higher Is Better 1 . 6.72 |================================================================== 2 . 6.98 |===================================================================== 3 . 6.79 |=================================================================== oneDNN 2.1.2 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 0.433838 |=============================================================== 2 . 0.446141 |================================================================ 3 . 0.450310 |================================================================= ViennaCL 1.7.1 Test: CPU BLAS - dAXPY GB/s > Higher Is Better 1 . 1320 |===================================================================== 2 . 1283 |=================================================================== 3 . 1327 |===================================================================== GNU Radio Test: Five Back to Back FIR Filters MiB/s > Higher Is Better 1 . 331.7 |==================================================================== 2 . 323.0 |================================================================== 3 . 322.6 |================================================================== AOM AV1 3.0 Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better 1 . 22.22 |==================================================================== 2 . 22.18 |==================================================================== 3 . 21.67 |================================================================== AOM AV1 3.0 Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better 1 . 67.34 |==================================================================== 2 . 65.79 |================================================================== 3 . 66.10 |=================================================================== SVT-VP9 0.3 Tuning: Visual Quality Optimized - Input: Bosphorus 1080p Frames Per Second > Higher Is Better 1 . 279.10 |=================================================================== 2 . 273.59 |================================================================== 3 . 277.87 |=================================================================== oneDNN 2.1.2 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 2081.53 |================================================================= 2 . 2085.38 |================================================================= 3 . 2122.66 |================================================================== GNU Radio Test: FM Deemphasis Filter MiB/s > Higher Is Better 1 . 744.0 |==================================================================== 2 . 734.1 |=================================================================== 3 . 730.1 |=================================================================== oneDNN 2.1.2 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 0.998801 |================================================================= 2 . 0.980323 |================================================================ 3 . 0.986806 |================================================================ ViennaCL 1.7.1 Test: CPU BLAS - dGEMM-NN GFLOPs/s > Higher Is Better 1 . 93.0 |===================================================================== 2 . 91.4 |==================================================================== 3 . 92.5 |===================================================================== Zstd Compression 1.4.9 Compression Level: 19 - Compression Speed MB/s > Higher Is Better 1 . 83.5 |===================================================================== 2 . 82.1 |==================================================================== 3 . 82.3 |==================================================================== ViennaCL 1.7.1 Test: CPU BLAS - dCOPY GB/s > Higher Is Better 1 . 1390 |===================================================================== 2 . 1367 |==================================================================== 3 . 1383 |===================================================================== libavif avifenc 0.9.0 Encoder Speed: 10 Seconds < Lower Is Better 1 . 3.712 |=================================================================== 2 . 3.754 |==================================================================== 3 . 3.773 |==================================================================== oneDNN 2.1.2 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 1.71993 |================================================================= 2 . 1.74774 |================================================================== 3 . 1.73568 |================================================================== GNU Radio Test: Signal Source (Cosine) MiB/s > Higher Is Better 1 . 2913.8 |=================================================================== 2 . 2868.2 |================================================================== 3 . 2879.4 |================================================================== Stockfish 13 Total Time Nodes Per Second > Higher Is Better 1 . 134641813 |================================================================ 2 . 133169802 |=============================================================== 3 . 132630158 |=============================================================== Zstd Compression 1.4.9 Compression Level: 3, Long Mode - Compression Speed MB/s > Higher Is Better 1 . 410.5 |==================================================================== 2 . 404.5 |=================================================================== 3 . 408.0 |==================================================================== ViennaCL 1.7.1 Test: CPU BLAS - sCOPY GB/s > Higher Is Better 1 . 757 |===================================================================== 2 . 764 |====================================================================== 3 . 753 |===================================================================== SVT-HEVC 1.5.0 Tuning: 7 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better 1 . 277.91 |=================================================================== 2 . 276.07 |================================================================== 3 . 279.74 |=================================================================== ViennaCL 1.7.1 Test: CPU BLAS - sAXPY GB/s > Higher Is Better 1 . 687 |====================================================================== 2 . 679 |===================================================================== 3 . 688 |====================================================================== Xcompact3d Incompact3d 2021-03-11 Input: input.i3d 193 Cells Per Direction Seconds < Lower Is Better 1 . 25.88 |==================================================================== 2 . 25.55 |=================================================================== 3 . 25.61 |=================================================================== AOM AV1 3.0 Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better 1 . 11.89 |==================================================================== 2 . 11.74 |=================================================================== 3 . 11.74 |=================================================================== toyBrot Fractal Generator 2020-11-18 Implementation: OpenMP ms < Lower Is Better 1 . 7848 |==================================================================== 2 . 7941 |===================================================================== 3 . 7921 |===================================================================== AOM AV1 3.0 Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p Frames Per Second > Higher Is Better 1 . 16.22 |==================================================================== 2 . 16.09 |=================================================================== 3 . 16.04 |=================================================================== oneDNN 2.1.2 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 1.48314 |================================================================== 2 . 1.47048 |================================================================= 3 . 1.46707 |================================================================= AOM AV1 3.0 Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better 1 . 25.94 |==================================================================== 2 . 25.71 |=================================================================== 3 . 25.99 |==================================================================== toyBrot Fractal Generator 2020-11-18 Implementation: C++ Threads ms < Lower Is Better 1 . 7207 |==================================================================== 2 . 7278 |===================================================================== 3 . 7258 |===================================================================== Zstd Compression 1.4.9 Compression Level: 19, Long Mode - Compression Speed MB/s > Higher Is Better 1 . 41.5 |===================================================================== 2 . 41.1 |==================================================================== 3 . 41.2 |===================================================================== oneDNN 2.1.2 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 1.27985 |================================================================== 2 . 1.27544 |================================================================= 3 . 1.28764 |================================================================== ViennaCL 1.7.1 Test: CPU BLAS - dDOT GB/s > Higher Is Better 1 . 896 |===================================================================== 2 . 904 |====================================================================== 3 . 904 |====================================================================== ViennaCL 1.7.1 Test: CPU BLAS - dGEMM-NT GFLOPs/s > Higher Is Better 1 . 90.5 |===================================================================== 2 . 89.7 |==================================================================== 3 . 89.8 |==================================================================== Blender 2.92 Blend File: BMW27 - Compute: CPU-Only Seconds < Lower Is Better 1 . 38.74 |=================================================================== 2 . 38.88 |==================================================================== 3 . 39.04 |==================================================================== Zstd Compression 1.4.9 Compression Level: 3 - Compression Speed MB/s > Higher Is Better 1 . 5279.4 |=================================================================== 2 . 5243.6 |=================================================================== 3 . 5250.3 |=================================================================== libavif avifenc 0.9.0 Encoder Speed: 10, Lossless Seconds < Lower Is Better 1 . 6.767 |==================================================================== 2 . 6.796 |==================================================================== 3 . 6.809 |==================================================================== GNU Radio Test: IIR Filter MiB/s > Higher Is Better 1 . 486.7 |==================================================================== 2 . 489.7 |==================================================================== 3 . 488.3 |==================================================================== SVT-VP9 0.3 Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p Frames Per Second > Higher Is Better 1 . 362.92 |=================================================================== 2 . 361.43 |=================================================================== 3 . 363.64 |=================================================================== simdjson 0.8.2 Throughput Test: PartialTweets GB/s > Higher Is Better 1 . 3.55 |===================================================================== 2 . 3.53 |===================================================================== 3 . 3.53 |===================================================================== simdjson 0.8.2 Throughput Test: DistinctUserID GB/s > Higher Is Better 1 . 3.59 |===================================================================== 2 . 3.61 |===================================================================== 3 . 3.59 |===================================================================== Blender 2.92 Blend File: Classroom - Compute: CPU-Only Seconds < Lower Is Better 1 . 100.03 |=================================================================== 2 . 100.58 |=================================================================== 3 . 100.08 |=================================================================== oneDNN 2.1.2 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 1.22494 |================================================================== 2 . 1.22224 |================================================================== 3 . 1.21841 |================================================================== oneDNN 2.1.2 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better 1 . 2082.99 |================================================================== 2 . 2085.08 |================================================================== 3 . 2094.12 |================================================================== Blender 2.92 Blend File: Pabellon Barcelona - Compute: CPU-Only Seconds < Lower Is Better 1 . 116.52 |=================================================================== 2 . 117.14 |=================================================================== 3 . 116.66 |=================================================================== ViennaCL 1.7.1 Test: CPU BLAS - dGEMM-TN GFLOPs/s > Higher Is Better 1 . 95.1 |===================================================================== 2 . 94.6 |===================================================================== 3 . 94.7 |===================================================================== GNU Radio Test: FIR Filter MiB/s > Higher Is Better 1 . 534.5 |==================================================================== 2 . 537.3 |==================================================================== 3 . 535.1 |==================================================================== SVT-HEVC 1.5.0 Tuning: 1 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better 1 . 34.41 |==================================================================== 2 . 34.59 |==================================================================== 3 . 34.45 |==================================================================== AOM AV1 3.0 Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p Frames Per Second > Higher Is Better 1 . 5.79 |===================================================================== 2 . 5.77 |===================================================================== 3 . 5.76 |===================================================================== simdjson 0.8.2 Throughput Test: Kostya GB/s > Higher Is Better 1 . 2.12 |===================================================================== 2 . 2.13 |===================================================================== 3 . 2.13 |===================================================================== SVT-HEVC 1.5.0 Tuning: 10 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better 1 . 462.61 |=================================================================== 2 . 460.86 |=================================================================== 3 . 462.91 |=================================================================== libavif avifenc 0.9.0 Encoder Speed: 6 Seconds < Lower Is Better 1 . 10.44 |==================================================================== 2 . 10.47 |==================================================================== 3 . 10.49 |==================================================================== ViennaCL 1.7.1 Test: CPU BLAS - dGEMM-TT GFLOPs/s > Higher Is Better 1 . 92.9 |===================================================================== 2 . 92.9 |===================================================================== 3 . 92.5 |===================================================================== oneDNN 2.1.2 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 2089.27 |================================================================== 2 . 2098.23 |================================================================== 3 . 2095.26 |================================================================== Liquid-DSP 2021.01.31 Threads: 64 - Buffer Length: 256 - Filter Length: 57 samples/s > Higher Is Better 1 . 2715700000 |=============================================================== 2 . 2718266667 |=============================================================== 3 . 2727266667 |=============================================================== toyBrot Fractal Generator 2020-11-18 Implementation: C++ Tasks ms < Lower Is Better 1 . 7599 |===================================================================== 2 . 7579 |===================================================================== 3 . 7611 |===================================================================== Blender 2.92 Blend File: Fishy Cat - Compute: CPU-Only Seconds < Lower Is Better 1 . 55.00 |==================================================================== 2 . 54.80 |==================================================================== 3 . 55.02 |==================================================================== libavif avifenc 0.9.0 Encoder Speed: 6, Lossless Seconds < Lower Is Better 1 . 29.44 |==================================================================== 2 . 29.50 |==================================================================== 3 . 29.56 |==================================================================== AOM AV1 3.0 Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better 1 . 18.24 |==================================================================== 2 . 18.22 |==================================================================== 3 . 18.17 |==================================================================== Sysbench 1.0.20 Test: RAM / Memory MiB/sec > Higher Is Better 1 . 6128.19 |================================================================== 2 . 6104.81 |================================================================== 3 . 6121.17 |================================================================== oneDNN 2.1.2 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 730.78 |=================================================================== 2 . 732.81 |=================================================================== 3 . 733.51 |=================================================================== oneDNN 2.1.2 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 1.14965 |================================================================== 2 . 1.15166 |================================================================== 3 . 1.15391 |================================================================== Zstd Compression 1.4.9 Compression Level: 19 - Decompression Speed MB/s > Higher Is Better 1 . 2559.5 |=================================================================== 2 . 2564.8 |=================================================================== 3 . 2555.8 |=================================================================== Botan 2.17.3 Test: ChaCha20Poly1305 MiB/s > Higher Is Better 1 . 633.17 |=================================================================== 2 . 635.01 |=================================================================== 3 . 635.34 |=================================================================== Botan 2.17.3 Test: ChaCha20Poly1305 - Decrypt MiB/s > Higher Is Better 1 . 632.66 |=================================================================== 2 . 631.09 |=================================================================== 3 . 630.51 |=================================================================== Blender 2.92 Blend File: Barbershop - Compute: CPU-Only Seconds < Lower Is Better 1 . 142.58 |=================================================================== 2 . 142.94 |=================================================================== 3 . 142.46 |=================================================================== LuaRadio 0.9.1 Test: Complex Phase MiB/s > Higher Is Better 1 . 515.5 |==================================================================== 2 . 513.8 |==================================================================== 3 . 514.5 |==================================================================== Liquid-DSP 2021.01.31 Threads: 128 - Buffer Length: 256 - Filter Length: 57 samples/s > Higher Is Better 1 . 3129700000 |=============================================================== 2 . 3124233333 |=============================================================== 3 . 3119400000 |=============================================================== Timed Mesa Compilation 21.0 Time To Compile Seconds < Lower Is Better 1 . 23.30 |==================================================================== 2 . 23.23 |==================================================================== 3 . 23.23 |==================================================================== GNU Radio Test: Hilbert Transform MiB/s > Higher Is Better 1 . 346.5 |==================================================================== 2 . 346.1 |==================================================================== 3 . 347.1 |==================================================================== Zstd Compression 1.4.9 Compression Level: 3, Long Mode - Decompression Speed MB/s > Higher Is Better 1 . 2892.4 |=================================================================== 2 . 2888.0 |=================================================================== 3 . 2884.6 |=================================================================== AOM AV1 3.0 Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K Frames Per Second > Higher Is Better 1 . 3.82 |===================================================================== 2 . 3.82 |===================================================================== 3 . 3.83 |===================================================================== oneDNN 2.1.2 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better 1 . 734.17 |=================================================================== 2 . 732.29 |=================================================================== 3 . 732.48 |=================================================================== Zstd Compression 1.4.9 Compression Level: 8 - Decompression Speed MB/s > Higher Is Better 1 . 2763.5 |=================================================================== 2 . 2770.2 |=================================================================== 3 . 2768.5 |=================================================================== Timed Erlang/OTP Compilation 23.2 Time To Compile Seconds < Lower Is Better 1 . 157.68 |=================================================================== 2 . 157.48 |=================================================================== 3 . 157.30 |=================================================================== oneDNN 2.1.2 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 3.45400 |================================================================== 2 . 3.46141 |================================================================== 3 . 3.45314 |================================================================== Liquid-DSP 2021.01.31 Threads: 1 - Buffer Length: 256 - Filter Length: 57 samples/s > Higher Is Better 1 . 59654000 |================================================================= 2 . 59569333 |================================================================= 3 . 59520333 |================================================================= LuaRadio 0.9.1 Test: Five Back to Back FIR Filters MiB/s > Higher Is Better 1 . 451.2 |==================================================================== 2 . 452.0 |==================================================================== 3 . 452.2 |==================================================================== Timed Node.js Compilation 15.11 Time To Compile Seconds < Lower Is Better 1 . 128.18 |=================================================================== 2 . 128.47 |=================================================================== 3 . 128.38 |=================================================================== Zstd Compression 1.4.9 Compression Level: 8, Long Mode - Decompression Speed MB/s > Higher Is Better 1 . 2986.2 |=================================================================== 2 . 2992.6 |=================================================================== 3 . 2989.6 |=================================================================== Xcompact3d Incompact3d 2021-03-11 Input: X3D-benchmarking input.i3d Seconds < Lower Is Better 1 . 689.60 |=================================================================== 2 . 690.48 |=================================================================== 3 . 691.06 |=================================================================== LuaRadio 0.9.1 Test: FM Deemphasis Filter MiB/s > Higher Is Better 1 . 339.2 |==================================================================== 2 . 339.8 |==================================================================== 3 . 339.9 |==================================================================== Liquid-DSP 2021.01.31 Threads: 16 - Buffer Length: 256 - Filter Length: 57 samples/s > Higher Is Better 1 . 937750000 |================================================================ 2 . 936776667 |================================================================ 3 . 936146667 |================================================================ libavif avifenc 0.9.0 Encoder Speed: 0 Seconds < Lower Is Better 1 . 53.31 |==================================================================== 2 . 53.22 |==================================================================== 3 . 53.29 |==================================================================== Liquid-DSP 2021.01.31 Threads: 8 - Buffer Length: 256 - Filter Length: 57 samples/s > Higher Is Better 1 . 475650000 |================================================================ 2 . 476116667 |================================================================ 3 . 476420000 |================================================================ oneDNN 2.1.2 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 5.04307 |================================================================== 2 . 5.04320 |================================================================== 3 . 5.05103 |================================================================== Liquid-DSP 2021.01.31 Threads: 32 - Buffer Length: 256 - Filter Length: 57 samples/s > Higher Is Better 1 . 1690600000 |=============================================================== 2 . 1693066667 |=============================================================== 3 . 1691266667 |=============================================================== Liquid-DSP 2021.01.31 Threads: 2 - Buffer Length: 256 - Filter Length: 57 samples/s > Higher Is Better 1 . 118920000 |================================================================ 2 . 119036667 |================================================================ 3 . 119086667 |================================================================ Liquid-DSP 2021.01.31 Threads: 4 - Buffer Length: 256 - Filter Length: 57 samples/s > Higher Is Better 1 . 237970000 |================================================================ 2 . 238236667 |================================================================ 3 . 238053333 |================================================================ Botan 2.17.3 Test: AES-256 - Decrypt MiB/s > Higher Is Better 1 . 4560.40 |================================================================== 2 . 4559.09 |================================================================== 3 . 4555.31 |================================================================== Botan 2.17.3 Test: Blowfish - Decrypt MiB/s > Higher Is Better 1 . 367.42 |=================================================================== 2 . 367.80 |=================================================================== 3 . 367.80 |=================================================================== Botan 2.17.3 Test: AES-256 MiB/s > Higher Is Better 1 . 4560.38 |================================================================== 2 . 4558.63 |================================================================== 3 . 4555.63 |================================================================== GNU GMP GMPbench 6.2.1 Total Time GMPbench Score > Higher Is Better 1 . 4542.0 |=================================================================== 2 . 4546.4 |=================================================================== 3 . 4542.4 |=================================================================== Botan 2.17.3 Test: Blowfish MiB/s > Higher Is Better 1 . 369.32 |=================================================================== 2 . 369.22 |=================================================================== 3 . 368.99 |=================================================================== libavif avifenc 0.9.0 Encoder Speed: 2 Seconds < Lower Is Better 1 . 28.41 |==================================================================== 2 . 28.39 |==================================================================== 3 . 28.41 |==================================================================== oneDNN 2.1.2 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 732.05 |=================================================================== 2 . 732.63 |=================================================================== 3 . 732.38 |=================================================================== Botan 2.17.3 Test: Twofish MiB/s > Higher Is Better 1 . 302.44 |=================================================================== 2 . 302.49 |=================================================================== 3 . 302.29 |=================================================================== oneDNN 2.1.2 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 2.67016 |================================================================== 2 . 2.67036 |================================================================== 3 . 2.66877 |================================================================== Zstd Compression 1.4.9 Compression Level: 19, Long Mode - Decompression Speed MB/s > Higher Is Better 1 . 2552.2 |=================================================================== 2 . 2553.7 |=================================================================== 3 . 2553.0 |=================================================================== Botan 2.17.3 Test: Twofish - Decrypt MiB/s > Higher Is Better 1 . 302.23 |=================================================================== 2 . 302.34 |=================================================================== 3 . 302.18 |=================================================================== Sysbench 1.0.20 Test: CPU Events Per Second > Higher Is Better 1 . 96671.09 |================================================================= 2 . 96717.84 |================================================================= 3 . 96694.41 |================================================================= Botan 2.17.3 Test: CAST-256 - Decrypt MiB/s > Higher Is Better 1 . 120.07 |=================================================================== 2 . 120.06 |=================================================================== 3 . 120.10 |=================================================================== Botan 2.17.3 Test: KASUMI - Decrypt MiB/s > Higher Is Better 1 . 75.09 |==================================================================== 2 . 75.10 |==================================================================== 3 . 75.10 |==================================================================== Botan 2.17.3 Test: KASUMI MiB/s > Higher Is Better 1 . 77.65 |==================================================================== 2 . 77.66 |==================================================================== 3 . 77.66 |==================================================================== Botan 2.17.3 Test: CAST-256 MiB/s > Higher Is Better 1 . 120.06 |=================================================================== 2 . 120.07 |=================================================================== 3 . 120.06 |=================================================================== oneDNN 2.1.2 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 1.00901 |================================================================== 2 . 1.00899 |================================================================== 3 . 1.00894 |================================================================== LuaRadio 0.9.1 Test: Hilbert Transform MiB/s > Higher Is Better 1 . 82.7 |===================================================================== 2 . 82.7 |===================================================================== 3 . 82.7 |===================================================================== simdjson 0.8.2 Throughput Test: LargeRandom GB/s > Higher Is Better 1 . 0.66 |===================================================================== 2 . 0.66 |===================================================================== 3 . 0.66 |===================================================================== ViennaCL 1.7.1 Test: CPU BLAS - dGEMV-N GB/s > Higher Is Better 1 . 30.9 |===================================================================== 2 . 28.5 |================================================================ 3 . 27.3 |============================================================= ViennaCL 1.7.1 Test: CPU BLAS - sDOT GB/s > Higher Is Better 1 . 461 |================================================================ 2 . 507 |====================================================================== 3 . 479 |================================================================== Zstd Compression 1.4.9 Compression Level: 8, Long Mode - Compression Speed MB/s > Higher Is Better 1 . 444.1 |================================================================ 2 . 444.0 |================================================================ 3 . 473.1 |====================================================================