xeon gold sunday Intel Xeon Gold 6226R testing with a Supermicro X11SPL-F v1.02 (3.1 BIOS) and ASPEED on Ubuntu 20.10 via the Phoronix Test Suite. A: Processor: Intel Xeon Gold 6226R @ 3.90GHz (16 Cores / 32 Threads), Motherboard: Supermicro X11SPL-F v1.02 (3.1 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 192GB, Disk: 280GB INTEL SSDPED1D280GA, Graphics: ASPEED, Monitor: VE228, Network: 2 x Intel I210 OS: Ubuntu 20.10, Kernel: 5.11.0-rc4-max-boost-inv-patch (x86_64) 20210121, Desktop: GNOME Shell 3.38.1, Display Server: X Server 1.20.9, Compiler: GCC 10.3.0, File-System: ext4, Screen Resolution: 1920x1080 B: Processor: Intel Xeon Gold 6226R @ 3.90GHz (16 Cores / 32 Threads), Motherboard: Supermicro X11SPL-F v1.02 (3.1 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 192GB, Disk: 280GB INTEL SSDPED1D280GA, Graphics: ASPEED, Monitor: VE228, Network: 2 x Intel I210 OS: Ubuntu 20.10, Kernel: 5.11.0-rc4-max-boost-inv-patch (x86_64) 20210121, Desktop: GNOME Shell 3.38.1, Display Server: X Server 1.20.9, Compiler: GCC 10.3.0, File-System: ext4, Screen Resolution: 1920x1080 C: Processor: Intel Xeon Gold 6226R @ 3.90GHz (16 Cores / 32 Threads), Motherboard: Supermicro X11SPL-F v1.02 (3.1 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 192GB, Disk: 280GB INTEL SSDPED1D280GA, Graphics: ASPEED, Monitor: VE228, Network: 2 x Intel I210 OS: Ubuntu 20.10, Kernel: 5.11.0-rc4-max-boost-inv-patch (x86_64) 20210121, Desktop: GNOME Shell 3.38.1, Display Server: X Server 1.20.9, Compiler: GCC 10.3.0, File-System: ext4, Screen Resolution: 1920x1080 D: Processor: Intel Xeon Gold 6226R @ 3.90GHz (16 Cores / 32 Threads), Motherboard: Supermicro X11SPL-F v1.02 (3.1 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 192GB, Disk: 280GB INTEL SSDPED1D280GA, Graphics: ASPEED, Monitor: VE228, Network: 2 x Intel I210 OS: Ubuntu 20.10, Kernel: 5.11.0-rc4-max-boost-inv-patch (x86_64) 20210121, Desktop: GNOME Shell 3.38.1, Display Server: X Server 1.20.9, Compiler: GCC 10.3.0, File-System: ext4, Screen Resolution: 1920x1080 oneDNN 2.6 Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better A . 13.72 |========================= B . 37.31 |==================================================================== D . 13.71 |========================= oneDNN 2.6 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better A . 908.62 |================================== B . 1742.77 |================================================================== D . 908.73 |================================== Stress-NG 0.14 Test: Context Switching Bogo Ops/s > Higher Is Better A . 8352208.62 |============================================== B . 8099474.46 |============================================ D . 11341067.61 |============================================================== oneDNN 2.6 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better A . 5.64541 |================================================ B . 7.82105 |================================================================== D . 5.71241 |================================================ AOM AV1 3.4 Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 15.81 |=========================================================== B . 15.69 |========================================================== C . 16.20 |============================================================ D . 18.34 |==================================================================== perf-bench Benchmark: Epoll Wait ops/sec > Higher Is Better A . 32940 |=========================================================== B . 37525 |=================================================================== C . 37937 |==================================================================== D . 37961 |==================================================================== AOM AV1 3.4 Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 56.66 |============================================================== B . 61.81 |==================================================================== C . 54.58 |============================================================ D . 58.10 |================================================================ Renaissance 0.14 Test: Scala Dotty ms < Lower Is Better A . 1112.4 |=================================================================== B . 984.3 |=========================================================== C . 1107.3 |=================================================================== D . 987.2 |=========================================================== Stress-NG 0.14 Test: Futex Bogo Ops/s > Higher Is Better A . 1268283.31 |======================================================== B . 1426739.55 |=============================================================== D . 1353834.89 |============================================================ AOM AV1 3.4 Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 46.57 |================================================================= B . 44.72 |============================================================== C . 43.61 |============================================================= D . 48.92 |==================================================================== AOM AV1 3.4 Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 11.34 |==================================================================== B . 10.28 |============================================================== C . 10.80 |================================================================= D . 10.15 |============================================================= Stockfish 15 Total Time Nodes Per Second > Higher Is Better A . 34892064 |=========================================================== B . 37498341 |=============================================================== D . 38758154 |================================================================= perf-bench Benchmark: Memset 1MB GB/sec > Higher Is Better A . 54.75 |================================================================ B . 53.06 |============================================================== C . 57.25 |=================================================================== D . 58.13 |==================================================================== Stress-NG 0.14 Test: Memory Copying Bogo Ops/s > Higher Is Better A . 5550.34 |=============================================================== B . 5775.62 |================================================================== D . 5277.74 |============================================================ Nettle 3.8 Test: poly1305-aes Mbyte/s > Higher Is Better A . 3603.86 |================================================================== B . 3625.46 |================================================================== C . 3444.22 |=============================================================== D . 3331.02 |============================================================= TensorFlow Lite 2022-05-18 Model: Inception ResNet V2 Microseconds < Lower Is Better A . 32510.2 |================================================================== B . 31223.4 |=============================================================== D . 29900.2 |============================================================= AOM AV1 3.4 Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 0.14 |===================================================================== B . 0.14 |===================================================================== C . 0.13 |================================================================ D . 0.13 |================================================================ Renaissance 0.14 Test: Savina Reactors.IO ms < Lower Is Better A . 13462.3 |============================================================= B . 13958.6 |================================================================ C . 14494.3 |================================================================== D . 13865.9 |=============================================================== perf-bench Benchmark: Memcpy 1MB GB/sec > Higher Is Better A . 16.31 |================================================================ B . 16.13 |=============================================================== C . 17.32 |==================================================================== D . 16.69 |================================================================== Renaissance 0.14 Test: Finagle HTTP Requests ms < Lower Is Better A . 4750.2 |=================================================================== B . 4582.9 |================================================================= C . 4736.2 |=================================================================== D . 4452.2 |=============================================================== Stress-NG 0.14 Test: Atomic Bogo Ops/s > Higher Is Better A . 230497.09 |================================================================ B . 218089.40 |============================================================= D . 221704.24 |============================================================== Glibc Benchmarks Benchmark: sincos ns < Lower Is Better A . 46.43 |================================================================= B . 48.13 |==================================================================== C . 48.47 |==================================================================== D . 45.89 |================================================================ AOM AV1 3.4 Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 64.95 |=================================================================== B . 62.03 |================================================================ C . 65.51 |==================================================================== D . 64.46 |=================================================================== ClickHouse 100M Rows Web Analytics Dataset, Second Run Queries Per Minute, Geo Mean > Higher Is Better A . 188.33 |================================================================== B . 180.53 |================================================================ D . 190.36 |=================================================================== Stress-NG 0.14 Test: CPU Cache Bogo Ops/s > Higher Is Better A . 100.26 |=================================================================== B . 95.52 |================================================================ D . 99.32 |================================================================== OSPRay 2.10 Benchmark: particle_volume/ao/real_time Items Per Second > Higher Is Better A . 5.09652 |================================================================= B . 4.95079 |=============================================================== C . 5.14891 |================================================================== D . 4.90723 |=============================================================== Chia Blockchain VDF 1.0.7 Test: Square Assembly Optimized IPS > Higher Is Better A . 155700 |================================================================ B . 162000 |=================================================================== C . 163200 |=================================================================== D . 162500 |=================================================================== Parallel BZIP2 Compression 1.1.13 FreeBSD-13.0-RELEASE-amd64-memstick.img Compression Seconds < Lower Is Better A . 6.928 |================================================================== B . 6.836 |================================================================= D . 7.162 |==================================================================== TensorFlow Lite 2022-05-18 Model: Inception V4 Microseconds < Lower Is Better A . 31050.0 |================================================================ B . 32173.0 |================================================================== D . 30791.9 |=============================================================== Stress-NG 0.14 Test: Socket Activity Bogo Ops/s > Higher Is Better A . 10009.90 |============================================================== B . 10443.02 |================================================================= D . 10146.64 |=============================================================== Renaissance 0.14 Test: Apache Spark Bayes ms < Lower Is Better A . 1050.9 |=================================================================== B . 1007.4 |================================================================ C . 1050.0 |=================================================================== D . 1025.3 |================================================================= x264 2022-02-22 Video Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 105.62 |================================================================== B . 105.41 |================================================================== C . 107.40 |=================================================================== D . 103.04 |================================================================ SVT-AV1 1.0 Encoder Mode: Preset 10 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 150.16 |=================================================================== B . 147.48 |================================================================== C . 144.18 |================================================================ D . 148.74 |================================================================== Renaissance 0.14 Test: Random Forest ms < Lower Is Better A . 1257.1 |================================================================ B . 1306.5 |=================================================================== C . 1294.0 |================================================================== D . 1270.3 |================================================================= ClickHouse 100M Rows Web Analytics Dataset, First Run / Cold Cache Queries Per Minute, Geo Mean > Higher Is Better A . 177.76 |=================================================================== B . 172.52 |================================================================= D . 178.95 |=================================================================== SVT-AV1 1.0 Encoder Mode: Preset 10 - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 66.94 |==================================================================== B . 65.05 |================================================================== C . 67.16 |==================================================================== D . 67.20 |==================================================================== OSPRay 2.10 Benchmark: particle_volume/scivis/real_time Items Per Second > Higher Is Better A . 5.05624 |================================================================= B . 5.09572 |================================================================== C . 4.93475 |================================================================ D . 5.03878 |================================================================= libavif avifenc 0.10 Encoder Speed: 6 Seconds < Lower Is Better A . 8.918 |==================================================================== B . 8.645 |================================================================== D . 8.845 |=================================================================== perf-bench Benchmark: Sched Pipe ops/sec > Higher Is Better A . 66578 |==================================================================== B . 64584 |================================================================== C . 64802 |================================================================== D . 65731 |=================================================================== AOM AV1 3.4 Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 0.34 |=================================================================== B . 0.34 |=================================================================== C . 0.35 |===================================================================== D . 0.35 |===================================================================== SVT-AV1 1.0 Encoder Mode: Preset 12 - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 86.13 |==================================================================== B . 84.49 |=================================================================== C . 83.69 |================================================================== D . 84.48 |=================================================================== ClickHouse 100M Rows Web Analytics Dataset, Third Run Queries Per Minute, Geo Mean > Higher Is Better A . 184.16 |=================================================================== B . 185.00 |=================================================================== D . 179.81 |================================================================= Renaissance 0.14 Test: In-Memory Database Shootout ms < Lower Is Better A . 7055.2 |=================================================================== B . 6911.4 |================================================================== C . 7005.7 |=================================================================== D . 6859.4 |================================================================= SVT-AV1 1.0 Encoder Mode: Preset 8 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 83.47 |==================================================================== B . 82.82 |=================================================================== C . 81.20 |================================================================== D . 81.46 |================================================================== WebP2 Image Encode 20220422 Encode Settings: Quality 75, Compression Effort 7 Seconds < Lower Is Better A . 162.62 |=================================================================== B . 163.36 |=================================================================== D . 159.05 |================================================================= 7-Zip Compression 22.00 Test: Decompression Rating MIPS > Higher Is Better A . 86893 |==================================================================== B . 84612 |================================================================== D . 86139 |=================================================================== Facebook RocksDB 7.0.1 Test: Random Read Op/s > Higher Is Better A . 70391323 |================================================================= B . 68987827 |=============================================================== D . 70804216 |================================================================= Renaissance 0.14 Test: Apache Spark PageRank ms < Lower Is Better A . 4192.6 |================================================================= B . 4209.3 |================================================================== C . 4299.5 |=================================================================== D . 4284.6 |=================================================================== Renaissance 0.14 Test: Genetic Algorithm Using Jenetics + Futures ms < Lower Is Better A . 6811.4 |================================================================= B . 6984.7 |=================================================================== C . 6929.0 |================================================================== D . 6898.9 |================================================================== SVT-AV1 1.0 Encoder Mode: Preset 4 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 4.498 |=================================================================== B . 4.482 |================================================================== C . 4.596 |==================================================================== D . 4.501 |=================================================================== AOM AV1 3.4 Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 5.30 |===================================================================== B . 5.25 |==================================================================== C . 5.26 |==================================================================== D . 5.17 |=================================================================== OSPRay 2.10 Benchmark: gravity_spheres_volume/dim_512/scivis/real_time Items Per Second > Higher Is Better A . 4.09826 |================================================================ B . 4.18303 |================================================================== D . 4.19684 |================================================================== Glibc Benchmarks Benchmark: tanh ns < Lower Is Better A . 40.28 |==================================================================== B . 39.35 |================================================================== C . 39.60 |=================================================================== D . 39.51 |=================================================================== InfluxDB 1.8.2 Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 val/sec > Higher Is Better A . 800956.6 |================================================================= B . 782762.9 |================================================================ D . 792169.6 |================================================================ oneDNN 2.6 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better A . 0.857716 |================================================================= B . 0.843142 |================================================================ D . 0.862283 |================================================================= Graph500 3.0 Scale: 26 sssp median_TEPS > Higher Is Better A . 98000500 |================================================================= B . 96562300 |================================================================ D . 95831400 |================================================================ simdjson 2.0 Throughput Test: Kostya GB/s > Higher Is Better A . 2.27 |===================================================================== B . 2.25 |==================================================================== C . 2.22 |=================================================================== D . 2.22 |=================================================================== Glibc Benchmarks Benchmark: atanh ns < Lower Is Better A . 36.22 |==================================================================== B . 35.46 |=================================================================== C . 35.59 |=================================================================== D . 35.81 |=================================================================== SVT-AV1 1.0 Encoder Mode: Preset 12 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 176.10 |=================================================================== B . 176.73 |=================================================================== C . 174.95 |================================================================== D . 173.05 |================================================================== OSPRay 2.10 Benchmark: gravity_spheres_volume/dim_512/ao/real_time Items Per Second > Higher Is Better A . 4.22476 |================================================================= B . 4.31440 |================================================================== D . 4.25724 |================================================================= Renaissance 0.14 Test: Akka Unbalanced Cobwebbed Tree ms < Lower Is Better A . 14036.1 |================================================================= B . 14086.8 |================================================================= C . 14243.8 |================================================================== D . 13955.3 |================================================================= perf-bench Benchmark: Futex Lock-Pi ops/sec > Higher Is Better A . 254 |===================================================================== B . 254 |===================================================================== C . 255 |===================================================================== D . 259 |====================================================================== SVT-AV1 1.0 Encoder Mode: Preset 8 - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 30.97 |==================================================================== B . 30.64 |=================================================================== C . 31.17 |==================================================================== D . 30.58 |=================================================================== Glibc Benchmarks Benchmark: modf ns < Lower Is Better A . 6.77061 |================================================================= B . 6.89959 |================================================================== C . 6.80363 |================================================================= D . 6.80843 |================================================================= Etcpak 1.0 Benchmark: Single-Threaded - Configuration: ETC2 Mpx/s > Higher Is Better A . 191.46 |=================================================================== B . 188.50 |================================================================== C . 188.56 |================================================================== D . 191.73 |=================================================================== Glibc Benchmarks Benchmark: ffsll ns < Lower Is Better A . 5.09231 |================================================================== B . 5.03218 |================================================================= C . 5.02977 |================================================================= D . 5.00725 |================================================================= Glibc Benchmarks Benchmark: asinh ns < Lower Is Better A . 31.63 |==================================================================== B . 31.18 |=================================================================== C . 31.11 |=================================================================== D . 31.22 |=================================================================== Renaissance 0.14 Test: Apache Spark ALS ms < Lower Is Better A . 46525.4 |================================================================= B . 47294.8 |================================================================== C . 47049.0 |================================================================== D . 46755.2 |================================================================= SVT-VP9 0.3 Tuning: VMAF Optimized - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 85.59 |=================================================================== B . 85.00 |=================================================================== C . 85.79 |==================================================================== D . 86.36 |==================================================================== WebP2 Image Encode 20220422 Encode Settings: Default Seconds < Lower Is Better A . 3.180 |=================================================================== B . 3.230 |==================================================================== D . 3.202 |=================================================================== InfluxDB 1.8.2 Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 val/sec > Higher Is Better A . 491686.5 |================================================================= B . 484406.6 |================================================================ D . 486128.9 |================================================================ Chaos Group V-RAY 5.02 Mode: CPU vsamples > Higher Is Better A . 14794 |=================================================================== B . 15016 |==================================================================== D . 14961 |==================================================================== SVT-VP9 0.3 Tuning: Visual Quality Optimized - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 66.48 |==================================================================== B . 65.75 |=================================================================== C . 65.65 |=================================================================== D . 66.62 |==================================================================== Renaissance 0.14 Test: ALS Movie Lens ms < Lower Is Better A . 32565.2 |================================================================== B . 32723.9 |================================================================== C . 32444.9 |================================================================= D . 32248.8 |================================================================= Tachyon 0.99.2 Total Time Seconds < Lower Is Better A . 108.56 |================================================================== B . 108.35 |================================================================== D . 109.92 |=================================================================== oneDNN 2.6 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better A . 4.19879 |================================================================== B . 4.20788 |================================================================== D . 4.14962 |================================================================= oneDNN 2.6 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU ms < Lower Is Better A . 4.27636 |================================================================= B . 4.33581 |================================================================== D . 4.31526 |================================================================== Stress-NG 0.14 Test: System V Message Passing Bogo Ops/s > Higher Is Better A . 3422497.38 |=============================================================== B . 3397385.88 |============================================================== D . 3444591.20 |=============================================================== Chia Blockchain VDF 1.0.7 Test: Square Plain C++ IPS > Higher Is Better A . 118800 |=================================================================== B . 117200 |================================================================== C . 118800 |=================================================================== D . 118700 |=================================================================== Stress-NG 0.14 Test: Glibc C String Functions Bogo Ops/s > Higher Is Better A . 927638.28 |================================================================ B . 929453.95 |================================================================ D . 918756.99 |=============================================================== simdjson 2.0 Throughput Test: LargeRandom GB/s > Higher Is Better A . 0.86 |==================================================================== B . 0.86 |==================================================================== C . 0.87 |===================================================================== D . 0.86 |==================================================================== 7-Zip Compression 22.00 Test: Compression Rating MIPS > Higher Is Better A . 109783 |=================================================================== B . 110223 |=================================================================== D . 108975 |================================================================== libavif avifenc 0.10 Encoder Speed: 0 Seconds < Lower Is Better A . 147.03 |================================================================== B . 147.17 |================================================================== D . 148.70 |=================================================================== libavif avifenc 0.10 Encoder Speed: 10, Lossless Seconds < Lower Is Better A . 7.186 |=================================================================== B . 7.251 |==================================================================== D . 7.172 |=================================================================== SVT-HEVC 1.5.0 Tuning: 10 - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 101.61 |================================================================== B . 102.69 |=================================================================== C . 102.51 |=================================================================== D . 102.69 |=================================================================== x264 2022-02-22 Video Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 31.71 |==================================================================== B . 31.39 |=================================================================== C . 31.68 |==================================================================== D . 31.55 |==================================================================== AOM AV1 3.4 Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 11.41 |==================================================================== B . 11.47 |==================================================================== C . 11.38 |=================================================================== D . 11.36 |=================================================================== SVT-AV1 1.0 Encoder Mode: Preset 4 - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 2.050 |==================================================================== B . 2.050 |==================================================================== C . 2.038 |=================================================================== D . 2.057 |==================================================================== AOM AV1 3.4 Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 3.34 |===================================================================== B . 3.35 |===================================================================== C . 3.34 |===================================================================== D . 3.32 |==================================================================== oneDNN 2.6 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU ms < Lower Is Better A . 3.09520 |================================================================== B . 3.08617 |================================================================== D . 3.06766 |================================================================= oneDNN 2.6 Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better A . 2.59510 |================================================================== B . 2.59850 |================================================================== D . 2.57547 |================================================================= Glibc Benchmarks Benchmark: cos ns < Lower Is Better A . 74.71 |=================================================================== B . 74.98 |==================================================================== C . 74.92 |==================================================================== D . 75.37 |==================================================================== Nettle 3.8 Test: sha512 Mbyte/s > Higher Is Better A . 481.72 |================================================================== B . 484.98 |=================================================================== C . 481.46 |================================================================== D . 485.65 |=================================================================== TensorFlow Lite 2022-05-18 Model: Mobilenet Quant Microseconds < Lower Is Better A . 2685.03 |================================================================= B . 2708.30 |================================================================== D . 2691.80 |================================================================== oneDNN 2.6 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better A . 0.309251 |================================================================= B . 0.308236 |================================================================= D . 0.306607 |================================================================ libavif avifenc 0.10 Encoder Speed: 6, Lossless Seconds < Lower Is Better A . 12.73 |=================================================================== B . 12.83 |==================================================================== D . 12.73 |=================================================================== Glibc Benchmarks Benchmark: pthread_once ns < Lower Is Better A . 5.29319 |================================================================== B . 5.26195 |================================================================== C . 5.26201 |================================================================== D . 5.24905 |================================================================= oneDNN 2.6 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better A . 907.92 |================================================================== B . 911.40 |=================================================================== D . 915.54 |=================================================================== Etcpak 1.0 Benchmark: Multi-Threaded - Configuration: ETC2 Mpx/s > Higher Is Better A . 2940.92 |================================================================== B . 2916.51 |================================================================= C . 2920.82 |================================================================== D . 2921.72 |================================================================== Glibc Benchmarks Benchmark: sin ns < Lower Is Better A . 65.54 |==================================================================== B . 65.67 |==================================================================== C . 65.56 |==================================================================== D . 65.13 |=================================================================== WebP2 Image Encode 20220422 Encode Settings: Quality 95, Compression Effort 7 Seconds < Lower Is Better A . 344.30 |=================================================================== B . 341.49 |================================================================== D . 343.20 |=================================================================== SVT-HEVC 1.5.0 Tuning: 7 - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 53.34 |==================================================================== B . 53.15 |=================================================================== C . 53.41 |==================================================================== D . 53.58 |==================================================================== AOM AV1 3.4 Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 28.56 |==================================================================== B . 28.66 |==================================================================== C . 28.52 |=================================================================== D . 28.75 |==================================================================== oneDNN 2.6 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better A . 1620.75 |================================================================== B . 1610.84 |================================================================== D . 1607.97 |================================================================= Graph500 3.0 Scale: 26 sssp max_TEPS > Higher Is Better A . 129189000 |================================================================ B . 129201000 |================================================================ D . 128219000 |================================================================ TensorFlow Lite 2022-05-18 Model: Mobilenet Float Microseconds < Lower Is Better A . 1512.70 |================================================================== B . 1524.19 |================================================================== D . 1517.85 |================================================================== GROMACS 2022.1 Implementation: MPI CPU - Input: water_GMX50_bare Ns Per Day > Higher Is Better A . 1.852 |=================================================================== B . 1.866 |==================================================================== D . 1.859 |==================================================================== SVT-VP9 0.3 Tuning: PSNR/SSIM Optimized - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 89.67 |==================================================================== B . 89.50 |==================================================================== C . 89.35 |=================================================================== D . 90.02 |==================================================================== oneDNN 2.6 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better A . 1.24593 |================================================================== B . 1.25075 |================================================================== D . 1.24158 |================================================================== Glibc Benchmarks Benchmark: exp ns < Lower Is Better A . 17.12 |=================================================================== B . 17.16 |==================================================================== C . 17.16 |==================================================================== D . 17.25 |==================================================================== OSPRay 2.10 Benchmark: particle_volume/pathtracer/real_time Items Per Second > Higher Is Better A . 85.25 |==================================================================== B . 84.65 |==================================================================== D . 85.13 |==================================================================== Nettle 3.8 Test: chacha Mbyte/s > Higher Is Better A . 1196.84 |================================================================== B . 1193.85 |================================================================== C . 1189.61 |================================================================== D . 1197.94 |================================================================== Facebook RocksDB 7.0.1 Test: Read While Writing Op/s > Higher Is Better A . 3010198 |================================================================== B . 3015141 |================================================================== D . 2995064 |================================================================== AOM AV1 3.4 Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 18.05 |==================================================================== B . 17.93 |==================================================================== C . 17.95 |==================================================================== D . 18.01 |==================================================================== Stress-NG 0.14 Test: MEMFD Bogo Ops/s > Higher Is Better A . 996.47 |================================================================== B . 997.77 |================================================================== D . 1003.05 |================================================================== Facebook RocksDB 7.0.1 Test: Read Random Write Random Op/s > Higher Is Better A . 2157960 |================================================================== B . 2143910 |================================================================== D . 2147824 |================================================================== Google Draco 1.5.0 Model: Lion ms < Lower Is Better A . 6840 |===================================================================== B . 6879 |===================================================================== D . 6835 |===================================================================== Stress-NG 0.14 Test: Vector Math Bogo Ops/s > Higher Is Better A . 55452.72 |================================================================= B . 55713.96 |================================================================= D . 55809.19 |================================================================= oneDNN 2.6 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU ms < Lower Is Better A . 0.965690 |================================================================= B . 0.971579 |================================================================= D . 0.965417 |================================================================= Stress-NG 0.14 Test: MMAP Bogo Ops/s > Higher Is Better A . 386.93 |=================================================================== B . 387.37 |=================================================================== D . 385.02 |=================================================================== perf-bench Benchmark: Syscall Basic ops/sec > Higher Is Better A . 15798883 |================================================================= B . 15705712 |================================================================= C . 15762401 |================================================================= D . 15715420 |================================================================= Stress-NG 0.14 Test: IO_uring Bogo Ops/s > Higher Is Better A . 2029946.20 |=============================================================== B . 2029594.83 |=============================================================== D . 2041307.09 |=============================================================== Blender 3.2 Blend File: Classroom - Compute: CPU-Only Seconds < Lower Is Better A . 306.67 |=================================================================== B . 307.75 |=================================================================== D . 308.43 |=================================================================== AOM AV1 3.4 Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 5.42 |===================================================================== B . 5.40 |===================================================================== C . 5.43 |===================================================================== D . 5.40 |===================================================================== libavif avifenc 0.10 Encoder Speed: 2 Seconds < Lower Is Better A . 71.97 |==================================================================== B . 71.73 |==================================================================== D . 72.12 |==================================================================== Timed MPlayer Compilation 1.5 Time To Compile Seconds < Lower Is Better A . 27.03 |==================================================================== B . 27.14 |==================================================================== D . 26.99 |==================================================================== Stress-NG 0.14 Test: Matrix Math Bogo Ops/s > Higher Is Better A . 74771.24 |================================================================= B . 74563.38 |================================================================= D . 74961.31 |================================================================= Graph500 3.0 Scale: 26 bfs max_TEPS > Higher Is Better A . 337688000 |================================================================ B . 335925000 |================================================================ D . 336656000 |================================================================ OSPRay 2.10 Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time Items Per Second > Higher Is Better A . 5.26585 |================================================================== B . 5.24165 |================================================================== D . 5.26908 |================================================================== Glibc Benchmarks Benchmark: ffs ns < Lower Is Better A . 5.27522 |================================================================== B . 5.28646 |================================================================== C . 5.27749 |================================================================== D . 5.25955 |================================================================== oneDNN 2.6 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better A . 0.542180 |================================================================= B . 0.541061 |================================================================= D . 0.539423 |================================================================= simdjson 2.0 Throughput Test: DistinctUserID GB/s > Higher Is Better A . 3.99 |===================================================================== B . 3.99 |===================================================================== C . 3.97 |===================================================================== D . 3.98 |===================================================================== oneDNN 2.6 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better A . 906.69 |=================================================================== B . 910.95 |=================================================================== D . 906.38 |=================================================================== Graph500 3.0 Scale: 26 bfs median_TEPS > Higher Is Better A . 334362000 |================================================================ B . 332860000 |================================================================ D . 333423000 |================================================================ Nettle 3.8 Test: aes256 Mbyte/s > Higher Is Better A . 6108.01 |================================================================== B . 6099.23 |================================================================== C . 6113.96 |================================================================== D . 6125.51 |================================================================== oneDNN 2.6 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better A . 0.498823 |================================================================= B . 0.497500 |================================================================= D . 0.499623 |================================================================= Stress-NG 0.14 Test: Forking Bogo Ops/s > Higher Is Better A . 53558.81 |================================================================= B . 53675.15 |================================================================= D . 53447.82 |================================================================= Timed Gem5 Compilation 21.2 Time To Compile Seconds < Lower Is Better A . 338.34 |=================================================================== B . 339.75 |=================================================================== D . 339.21 |=================================================================== Glibc Benchmarks Benchmark: sinh ns < Lower Is Better A . 28.38 |==================================================================== B . 28.27 |==================================================================== C . 28.36 |==================================================================== D . 28.28 |==================================================================== Glibc Benchmarks Benchmark: log2 ns < Lower Is Better A . 22.21 |==================================================================== B . 22.25 |==================================================================== C . 22.20 |==================================================================== D . 22.17 |==================================================================== Glibc Benchmarks Benchmark: sqrt ns < Lower Is Better A . 6.79582 |================================================================== B . 6.77717 |================================================================== C . 6.77094 |================================================================== D . 6.77666 |================================================================== oneDNN 2.6 Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better A . 12.64 |==================================================================== B . 12.69 |==================================================================== D . 12.68 |==================================================================== Blender 3.2 Blend File: Fishy Cat - Compute: CPU-Only Seconds < Lower Is Better A . 145.70 |=================================================================== B . 145.18 |=================================================================== D . 145.24 |=================================================================== TensorFlow Lite 2022-05-18 Model: NASNet Mobile Microseconds < Lower Is Better A . 15098.4 |================================================================== B . 15131.8 |================================================================== D . 15080.5 |================================================================== OSPray Studio 0.10 Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer ms < Lower Is Better A . 1813 |===================================================================== B . 1807 |===================================================================== D . 1810 |===================================================================== AOM AV1 3.4 Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 28.35 |==================================================================== B . 28.38 |==================================================================== C . 28.43 |==================================================================== D . 28.44 |==================================================================== oneDNN 2.6 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better A . 1613.54 |================================================================== B . 1608.45 |================================================================== D . 1612.51 |================================================================== Stress-NG 0.14 Test: Crypto Bogo Ops/s > Higher Is Better A . 18827.88 |================================================================= B . 18769.73 |================================================================= D . 18828.45 |================================================================= Blender 3.2 Blend File: Barbershop - Compute: CPU-Only Seconds < Lower Is Better A . 1173.71 |================================================================== B . 1170.18 |================================================================== D . 1172.14 |================================================================== WebP2 Image Encode 20220422 Encode Settings: Quality 100, Lossless Compression Seconds < Lower Is Better A . 750.18 |=================================================================== B . 748.43 |=================================================================== D . 750.67 |=================================================================== simdjson 2.0 Throughput Test: PartialTweets GB/s > Higher Is Better A . 3.39 |===================================================================== B . 3.39 |===================================================================== C . 3.40 |===================================================================== D . 3.40 |===================================================================== Stress-NG 0.14 Test: NUMA Bogo Ops/s > Higher Is Better A . 304.15 |=================================================================== B . 303.60 |=================================================================== D . 303.27 |=================================================================== oneDNN 2.6 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better A . 2.10714 |================================================================== B . 2.10124 |================================================================== D . 2.10205 |================================================================== OSPray Studio 0.10 Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer ms < Lower Is Better A . 34458 |==================================================================== B . 34458 |==================================================================== D . 34554 |==================================================================== perf-bench Benchmark: Futex Hash ops/sec > Higher Is Better A . 4286945 |================================================================== B . 4275533 |================================================================== C . 4279202 |================================================================== D . 4284624 |================================================================== simdjson 2.0 Throughput Test: TopTweet GB/s > Higher Is Better A . 4.03 |===================================================================== B . 4.04 |===================================================================== C . 4.03 |===================================================================== D . 4.04 |===================================================================== Timed Linux Kernel Compilation 5.18 Build: defconfig Seconds < Lower Is Better A . 65.71 |==================================================================== B . 65.76 |==================================================================== D . 65.87 |==================================================================== Stress-NG 0.14 Test: CPU Stress Bogo Ops/s > Higher Is Better A . 33015.04 |================================================================= B . 33094.73 |================================================================= D . 33056.59 |================================================================= Stress-NG 0.14 Test: Glibc Qsort Data Sorting Bogo Ops/s > Higher Is Better A . 197.03 |=================================================================== B . 196.57 |=================================================================== D . 196.90 |=================================================================== Google Draco 1.5.0 Model: Church Facade ms < Lower Is Better A . 9606 |===================================================================== B . 9604 |===================================================================== D . 9626 |===================================================================== oneDNN 2.6 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better A . 1613.62 |================================================================== B . 1610.87 |================================================================== D . 1614.10 |================================================================== oneDNN 2.6 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better A . 2.29507 |================================================================== B . 2.29954 |================================================================== D . 2.29593 |================================================================== OSPray Studio 0.10 Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer ms < Lower Is Better A . 2154 |===================================================================== B . 2158 |===================================================================== D . 2158 |===================================================================== OSPray Studio 0.10 Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer ms < Lower Is Better A . 28164 |==================================================================== B . 28170 |==================================================================== D . 28119 |==================================================================== oneDNN 2.6 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better A . 3.33540 |================================================================== B . 3.33286 |================================================================== D . 3.33852 |================================================================== Stress-NG 0.14 Test: Malloc Bogo Ops/s > Higher Is Better A . 23719707.91 |============================================================== B . 23706403.33 |============================================================== D . 23681966.64 |============================================================== Blender 3.2 Blend File: BMW27 - Compute: CPU-Only Seconds < Lower Is Better A . 107.50 |=================================================================== B . 107.67 |=================================================================== D . 107.51 |=================================================================== Blender 3.2 Blend File: Pabellon Barcelona - Compute: CPU-Only Seconds < Lower Is Better A . 379.19 |=================================================================== B . 379.74 |=================================================================== D . 379.42 |=================================================================== OSPray Studio 0.10 Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer ms < Lower Is Better A . 84266 |==================================================================== B . 84292 |==================================================================== D . 84177 |==================================================================== OSPray Studio 0.10 Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer ms < Lower Is Better A . 71609 |==================================================================== B . 71515 |==================================================================== D . 71554 |==================================================================== oneDNN 2.6 Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better A . 5.58490 |================================================================== B . 5.58907 |================================================================== D . 5.58271 |================================================================== oneDNN 2.6 Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better A . 9.41055 |================================================================== B . 9.40000 |================================================================== D . 9.40951 |================================================================== OSPray Studio 0.10 Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer ms < Lower Is Better A . 28943 |==================================================================== B . 28975 |==================================================================== D . 28965 |==================================================================== WebP2 Image Encode 20220422 Encode Settings: Quality 100, Compression Effort 5 Seconds < Lower Is Better A . 4.615 |==================================================================== B . 4.610 |==================================================================== D . 4.610 |==================================================================== Timed Linux Kernel Compilation 5.18 Build: allmodconfig Seconds < Lower Is Better A . 775.81 |=================================================================== B . 775.97 |=================================================================== D . 776.56 |=================================================================== Facebook RocksDB 7.0.1 Test: Update Random Op/s > Higher Is Better A . 633380 |=================================================================== B . 633293 |=================================================================== D . 633869 |=================================================================== TensorFlow Lite 2022-05-18 Model: SqueezeNet Microseconds < Lower Is Better A . 2046.30 |================================================================== B . 2047.42 |================================================================== D . 2047.89 |================================================================== OSPray Studio 0.10 Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer ms < Lower Is Better A . 73188 |==================================================================== B . 73143 |==================================================================== D . 73139 |==================================================================== Stress-NG 0.14 Test: SENDFILE Bogo Ops/s > Higher Is Better A . 291326.94 |================================================================ B . 291265.36 |================================================================ D . 291150.87 |================================================================ OSPray Studio 0.10 Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer ms < Lower Is Better A . 1765 |===================================================================== B . 1764 |===================================================================== D . 1764 |===================================================================== Stress-NG 0.14 Test: Semaphores Bogo Ops/s > Higher Is Better A . 2396119.52 |=============================================================== B . 2396549.19 |=============================================================== D . 2396852.36 |=============================================================== Stress-NG 0.14 Test: x86_64 RdRand Bogo Ops/s > Higher Is Better A . 252385.40 |================================================================ B . 252371.71 |================================================================ D . 252382.87 |================================================================ SVT-HEVC 1.5.0 Tuning: 1 - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 2.63 |===================================================================== B . 2.63 |===================================================================== C . 2.63 |===================================================================== D . 2.63 |=====================================================================