2 x Intel Xeon Platinum 8280 testing with a GIGABYTE MD61-SC2-00 v01000100 (T15 BIOS) and llvmpipe on Ubuntu 21.04 via the Phoronix Test Suite.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 2206050-NE-CASCADELA50
cascade lake summer 2022
2 x Intel Xeon Platinum 8280 testing with a GIGABYTE MD61-SC2-00 v01000100 (T15 BIOS) and llvmpipe on Ubuntu 21.04 via the Phoronix Test Suite.
A:
Processor: 2 x Intel Xeon Platinum 8280 @ 4.00GHz (56 Cores / 112 Threads), Motherboard: GIGABYTE MD61-SC2-00 v01000100 (T15 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 384GB, Disk: 280GB INTEL SSDPED1D280GA, Graphics: llvmpipe, Monitor: VE228, Network: 2 x Intel X722 for 1GbE + 2 x QLogic FastLinQ QL41000 10/25/40/50GbE
OS: Ubuntu 21.04, Kernel: 5.11.0-40-generic (x86_64), Desktop: GNOME Shell 3.38.4, Display Server: X Server + Wayland, OpenGL: 4.5 Mesa 21.0.1 (LLVM 11.0.1 256 bits), Compiler: GCC 10.3.0, File-System: ext4, Screen Resolution: 1920x1080
B:
Processor: 2 x Intel Xeon Platinum 8280 @ 4.00GHz (56 Cores / 112 Threads), Motherboard: GIGABYTE MD61-SC2-00 v01000100 (T15 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 384GB, Disk: 280GB INTEL SSDPED1D280GA, Graphics: llvmpipe, Monitor: VE228, Network: 2 x Intel X722 for 1GbE + 2 x QLogic FastLinQ QL41000 10/25/40/50GbE
OS: Ubuntu 21.04, Kernel: 5.11.0-40-generic (x86_64), Desktop: GNOME Shell 3.38.4, Display Server: X Server + Wayland, OpenGL: 4.5 Mesa 21.0.1 (LLVM 11.0.1 256 bits), Compiler: GCC 10.3.0, File-System: ext4, Screen Resolution: 1920x1080
C:
Processor: 2 x Intel Xeon Platinum 8280 @ 4.00GHz (56 Cores / 112 Threads), Motherboard: GIGABYTE MD61-SC2-00 v01000100 (T15 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 384GB, Disk: 280GB INTEL SSDPED1D280GA, Graphics: llvmpipe, Monitor: VE228, Network: 2 x Intel X722 for 1GbE + 2 x QLogic FastLinQ QL41000 10/25/40/50GbE
OS: Ubuntu 21.04, Kernel: 5.11.0-40-generic (x86_64), Desktop: GNOME Shell 3.38.4, Display Server: X Server + Wayland, OpenGL: 4.5 Mesa 21.0.1 (LLVM 11.0.1 256 bits), Compiler: GCC 10.3.0, File-System: ext4, Screen Resolution: 1920x1080
Stress-NG 0.14
Test: CPU Cache
Bogo Ops/s > Higher Is Better
A . 26.30 |====================================================================
B . 15.34 |========================================
C . 21.03 |======================================================
ONNX Runtime 1.11
Model: super-resolution-10 - Device: CPU - Executor: Standard
Inferences Per Minute > Higher Is Better
A . 6359 |==========================================
B . 10331 |====================================================================
C . 10378 |====================================================================
ONNX Runtime 1.11
Model: fcn-resnet101-11 - Device: CPU - Executor: Standard
Inferences Per Minute > Higher Is Better
A . 376 |======================================================================
B . 256 |================================================
C . 352 |==================================================================
Apache HTTP Server 2.4.48
Concurrent Requests: 20
Requests Per Second > Higher Is Better
A . 24165.82 |=================================================================
B . 23084.76 |==============================================================
C . 18658.18 |==================================================
ONNX Runtime 1.11
Model: bertsquad-12 - Device: CPU - Executor: Standard
Inferences Per Minute > Higher Is Better
A . 691 |===========================================================
B . 824 |======================================================================
C . 823 |======================================================================
perf-bench
Benchmark: Epoll Wait
ops/sec > Higher Is Better
A . 4782 |=====================================================================
B . 4015 |==========================================================
C . 4683 |====================================================================
Apache HTTP Server 2.4.48
Concurrent Requests: 200
Requests Per Second > Higher Is Better
A . 126245.90 |===========================================================
B . 137891.33 |================================================================
C . 117695.80 |=======================================================
Apache HTTP Server 2.4.48
Concurrent Requests: 1000
Requests Per Second > Higher Is Better
A . 105438.13 |========================================================
C . 121473.73 |================================================================
Renaissance 0.14
Test: Scala Dotty
ms < Lower Is Better
A . 1108.2 |==================================================================
B . 992.8 |===========================================================
C . 1127.7 |===================================================================
AOM AV1 3.3
Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
A . 36.47 |================================================================
B . 34.33 |============================================================
C . 38.97 |====================================================================
ONNX Runtime 1.11
Model: GPT-2 - Device: CPU - Executor: Standard
Inferences Per Minute > Higher Is Better
A . 10161 |==============================================================
B . 10159 |==============================================================
C . 11218 |====================================================================
AOM AV1 3.3
Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
A . 54.95 |====================================================================
B . 49.99 |==============================================================
C . 50.96 |===============================================================
oneDNN 2.6
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
ms < Lower Is Better
A . 869.42 |==============================================================
B . 864.65 |=============================================================
C . 943.92 |===================================================================
AOM AV1 3.3
Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
A . 5.73 |================================================================
B . 5.79 |================================================================
C . 6.22 |=====================================================================
Stress-NG 0.14
Test: Atomic
Bogo Ops/s > Higher Is Better
A . 148748.40 |================================================================
B . 137381.50 |===========================================================
C . 140720.96 |=============================================================
Renaissance 0.14
Test: Savina Reactors.IO
ms < Lower Is Better
A . 13994.2 |==================================================================
B . 13313.1 |===============================================================
C . 12964.8 |=============================================================
SVT-VP9 0.3
Tuning: VMAF Optimized - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
A . 275.30 |=================================================================
B . 281.70 |===================================================================
C . 262.04 |==============================================================
x264 2022-02-22
Video Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
A . 116.81 |===============================================================
B . 123.32 |==================================================================
C . 125.16 |===================================================================
AOM AV1 3.3
Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
A . 5.57 |====================================================================
B . 5.66 |=====================================================================
C . 5.31 |=================================================================
SVT-VP9 0.3
Tuning: Visual Quality Optimized - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
A . 208.91 |===============================================================
B . 207.79 |===============================================================
C . 220.70 |===================================================================
SVT-VP9 0.3
Tuning: VMAF Optimized - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
A . 111.31 |===================================================================
B . 104.80 |===============================================================
C . 109.89 |==================================================================
Renaissance 0.14
Test: In-Memory Database Shootout
ms < Lower Is Better
A . 11794.7 |==============================================================
B . 12498.3 |==================================================================
C . 11920.7 |===============================================================
SVT-VP9 0.3
Tuning: PSNR/SSIM Optimized - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
A . 108.16 |===============================================================
B . 114.24 |===================================================================
C . 114.38 |===================================================================
Stress-NG 0.14
Test: Futex
Bogo Ops/s > Higher Is Better
A . 908797.50 |=============================================================
B . 948927.76 |===============================================================
C . 958464.66 |================================================================
libavif avifenc 0.10
Encoder Speed: 6
Seconds < Lower Is Better
A . 6.249 |====================================================================
B . 5.949 |=================================================================
C . 6.074 |==================================================================
libavif avifenc 0.10
Encoder Speed: 2
Seconds < Lower Is Better
A . 55.61 |====================================================================
B . 54.77 |===================================================================
C . 52.96 |=================================================================
Renaissance 0.14
Test: Apache Spark ALS
ms < Lower Is Better
A . 84016.6 |================================================================
B . 86541.0 |==================================================================
C . 82422.8 |===============================================================
SVT-VP9 0.3
Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
A . 257.91 |================================================================
B . 268.40 |==================================================================
C . 270.70 |===================================================================
Renaissance 0.14
Test: Random Forest
ms < Lower Is Better
A . 1166.1 |================================================================
B . 1217.5 |===================================================================
C . 1223.1 |===================================================================
perf-bench
Benchmark: Memcpy 1MB
GB/sec > Higher Is Better
A . 16.83 |==================================================================
B . 17.39 |====================================================================
C . 16.59 |=================================================================
Renaissance 0.14
Test: Finagle HTTP Requests
ms < Lower Is Better
A . 6808.3 |================================================================
B . 7137.8 |===================================================================
C . 7106.4 |===================================================================
AOM AV1 3.3
Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
A . 24.91 |====================================================================
B . 23.78 |=================================================================
C . 24.70 |===================================================================
TensorFlow Lite 2022-05-18
Model: Inception ResNet V2
Microseconds < Lower Is Better
A . 47840.8 |===============================================================
B . 50114.1 |==================================================================
C . 48762.5 |================================================================
SVT-VP9 0.3
Tuning: Visual Quality Optimized - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
A . 101.74 |===================================================================
B . 97.39 |================================================================
C . 97.76 |================================================================
perf-bench
Benchmark: Sched Pipe
ops/sec > Higher Is Better
A . 149542 |================================================================
B . 156089 |===================================================================
C . 150205 |================================================================
AOM AV1 3.3
Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
A . 8.90 |===================================================================
B . 9.13 |=====================================================================
C . 8.75 |==================================================================
TensorFlow Lite 2022-05-18
Model: Mobilenet Quant
Microseconds < Lower Is Better
A . 4833.58 |==================================================================
B . 4632.48 |===============================================================
C . 4770.39 |=================================================================
Stress-NG 0.14
Test: NUMA
Bogo Ops/s > Higher Is Better
A . 583.66 |================================================================
B . 607.35 |===================================================================
C . 592.78 |=================================================================
oneDNN 2.6
Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
A . 0.343941 |================================================================
B . 0.349142 |=================================================================
C . 0.336000 |===============================================================
perf-bench
Benchmark: Memset 1MB
GB/sec > Higher Is Better
A . 55.72 |===================================================================
B . 56.22 |====================================================================
C . 54.11 |=================================================================
Apache HTTP Server 2.4.48
Concurrent Requests: 100
Requests Per Second > Higher Is Better
A . 97283.80 |================================================================
B . 95724.11 |===============================================================
C . 99205.02 |=================================================================
SVT-AV1 1.0
Encoder Mode: Preset 8 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
A . 94.09 |==================================================================
B . 94.55 |==================================================================
C . 97.42 |====================================================================
AOM AV1 3.3
Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
A . 21.45 |==================================================================
B . 21.66 |==================================================================
C . 22.20 |====================================================================
AOM AV1 3.3
Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
A . 6.04 |=====================================================================
B . 5.84 |===================================================================
C . 5.99 |====================================================================
oneDNN 2.6
Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
A . 458.42 |=================================================================
B . 455.13 |=================================================================
C . 470.31 |===================================================================
perf-bench
Benchmark: Futex Lock-Pi
ops/sec > Higher Is Better
A . 62 |=====================================================================
B . 64 |=======================================================================
C . 63 |======================================================================
Renaissance 0.14
Test: Genetic Algorithm Using Jenetics + Futures
ms < Lower Is Better
A . 8292.8 |===================================================================
B . 8040.8 |=================================================================
C . 8045.6 |=================================================================
AOM AV1 3.3
Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
A . 55.88 |==================================================================
B . 57.45 |====================================================================
C . 55.74 |==================================================================
Renaissance 0.14
Test: ALS Movie Lens
ms < Lower Is Better
A . 50872.9 |=================================================================
B . 52001.2 |==================================================================
C . 50492.3 |================================================================
Apache HTTP Server 2.4.48
Concurrent Requests: 500
Requests Per Second > Higher Is Better
A . 122830.61 |================================================================
C . 119354.61 |==============================================================
SVT-HEVC 1.5.0
Tuning: 7 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
A . 99.19 |====================================================================
B . 96.40 |==================================================================
C . 98.73 |====================================================================
SVT-AV1 1.0
Encoder Mode: Preset 12 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
A . 107.29 |===================================================================
B . 104.29 |=================================================================
C . 104.40 |=================================================================
Apache HTTP Server 2.4.48
Concurrent Requests: 1
Requests Per Second > Higher Is Better
A . 2809.72 |================================================================
B . 2879.71 |==================================================================
C . 2800.97 |================================================================
oneDNN 2.6
Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
A . 1.10589 |=================================================================
B . 1.12046 |==================================================================
C . 1.09022 |================================================================
nginx 1.21.1
Concurrent Requests: 500
Requests Per Second > Higher Is Better
A . 165114.50 |================================================================
B . 160705.05 |==============================================================
C . 162250.89 |===============================================================
Renaissance 0.14
Test: Akka Unbalanced Cobwebbed Tree
ms < Lower Is Better
A . 21915.1 |==================================================================
B . 21598.3 |=================================================================
C . 21331.4 |================================================================
oneDNN 2.6
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
A . 2.94845 |==================================================================
B . 2.90208 |=================================================================
C . 2.87069 |================================================================
SVT-HEVC 1.5.0
Tuning: 7 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
A . 222.88 |=================================================================
B . 224.55 |==================================================================
C . 228.66 |===================================================================
SVT-AV1 1.0
Encoder Mode: Preset 10 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
A . 89.54 |==================================================================
B . 91.83 |====================================================================
C . 89.83 |===================================================================
TensorFlow Lite 2022-05-18
Model: NASNet Mobile
Microseconds < Lower Is Better
A . 65535.0 |==================================================================
B . 65890.0 |==================================================================
C . 64248.8 |================================================================
SVT-AV1 1.0
Encoder Mode: Preset 10 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
A . 143.11 |=================================================================
B . 146.75 |===================================================================
C . 144.76 |==================================================================
oneDNN 2.6
Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
A . 1.40425 |==================================================================
B . 1.38839 |=================================================================
C . 1.36947 |================================================================
SVT-AV1 1.0
Encoder Mode: Preset 4 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
A . 2.718 |==================================================================
B . 2.744 |===================================================================
C . 2.787 |====================================================================
Nettle 3.8
Test: aes256
Mbyte/s > Higher Is Better
A . 6285.45 |==================================================================
B . 6323.88 |==================================================================
C . 6167.35 |================================================================
Stress-NG 0.14
Test: Socket Activity
Bogo Ops/s > Higher Is Better
A . 27081.43 |================================================================
B . 27478.48 |=================================================================
C . 26817.55 |===============================================================
Facebook RocksDB 7.0.1
Test: Read While Writing
Op/s > Higher Is Better
A . 6680014 |==================================================================
B . 6519441 |================================================================
C . 6563287 |=================================================================
simdjson 2.0
Throughput Test: Kostya
GB/s > Higher Is Better
A . 2.50 |=====================================================================
B . 2.49 |=====================================================================
C . 2.44 |===================================================================
Nettle 3.8
Test: chacha
Mbyte/s > Higher Is Better
A . 1223.77 |=================================================================
B . 1234.72 |==================================================================
C . 1205.82 |================================================================
Etcpak 1.0
Benchmark: Multi-Threaded - Configuration: DXT1
Mpx/s > Higher Is Better
A . 2466.42 |==================================================================
B . 2462.53 |==================================================================
C . 2408.79 |================================================================
SVT-AV1 1.0
Encoder Mode: Preset 12 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
A . 206.24 |===================================================================
B . 202.25 |=================================================================
C . 207.09 |===================================================================
TensorFlow Lite 2022-05-18
Model: SqueezeNet
Microseconds < Lower Is Better
A . 5446.51 |==================================================================
B . 5459.11 |==================================================================
C . 5334.38 |================================================================
AOM AV1 3.3
Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
A . 5.67 |=====================================================================
B . 5.69 |=====================================================================
C . 5.56 |===================================================================
Stress-NG 0.14
Test: Context Switching
Bogo Ops/s > Higher Is Better
A . 4008133.57 |==============================================================
B . 4091594.76 |===============================================================
C . 3998434.06 |==============================================================
Nettle 3.8
Test: sha512
Mbyte/s > Higher Is Better
A . 498.39 |===================================================================
B . 500.56 |===================================================================
C . 489.37 |==================================================================
SVT-AV1 1.0
Encoder Mode: Preset 8 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
A . 44.11 |====================================================================
B . 44.16 |====================================================================
C . 43.23 |===================================================================
nginx 1.21.1
Concurrent Requests: 20
Requests Per Second > Higher Is Better
A . 141460.52 |===============================================================
B . 142633.59 |================================================================
C . 139702.50 |===============================================================
libavif avifenc 0.10
Encoder Speed: 6, Lossless
Seconds < Lower Is Better
A . 10.32 |====================================================================
B . 10.13 |===================================================================
C . 10.35 |====================================================================
Stress-NG 0.14
Test: Glibc C String Functions
Bogo Ops/s > Higher Is Better
A . 5765765.00 |==============================================================
B . 5777754.86 |==============================================================
C . 5882673.17 |===============================================================
TensorFlow Lite 2022-05-18
Model: Inception V4
Microseconds < Lower Is Better
A . 37643.7 |==================================================================
B . 36933.9 |=================================================================
C . 37165.7 |=================================================================
oneDNN 2.6
Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
A . 0.478080 |=================================================================
B . 0.469105 |================================================================
C . 0.474279 |================================================================
oneDNN 2.6
Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
ms < Lower Is Better
A . 455.06 |==================================================================
B . 451.59 |==================================================================
C . 460.09 |===================================================================
Renaissance 0.14
Test: Apache Spark PageRank
ms < Lower Is Better
A . 4107.5 |==================================================================
B . 4075.1 |==================================================================
C . 4142.0 |===================================================================
Renaissance 0.14
Test: Apache Spark Bayes
ms < Lower Is Better
A . 859.3 |====================================================================
B . 846.9 |===================================================================
C . 860.8 |====================================================================
perf-bench
Benchmark: Syscall Basic
ops/sec > Higher Is Better
A . 16452745 |=================================================================
B . 16190299 |================================================================
C . 16325616 |================================================================
Facebook RocksDB 7.0.1
Test: Random Read
Op/s > Higher Is Better
A . 222126242 |================================================================
B . 222876704 |================================================================
C . 219474809 |===============================================================
Glibc Benchmarks
Benchmark: log2
ns < Lower Is Better
A . 19.85 |===================================================================
B . 20.16 |====================================================================
C . 20.11 |====================================================================
Etcpak 1.0
Benchmark: Multi-Threaded - Configuration: ETC2
Mpx/s > Higher Is Better
A . 2455.86 |==================================================================
B . 2422.18 |=================================================================
C . 2459.64 |==================================================================
oneDNN 2.6
Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
A . 871.31 |==================================================================
B . 869.79 |==================================================================
C . 882.76 |===================================================================
AOM AV1 3.3
Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
A . 13.96 |====================================================================
B . 13.86 |====================================================================
C . 13.76 |===================================================================
oneDNN 2.6
Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU
ms < Lower Is Better
A . 1.22929 |==================================================================
B . 1.22057 |=================================================================
C . 1.23800 |==================================================================
Etcpak 1.0
Benchmark: Single-Threaded - Configuration: DXT1
Mpx/s > Higher Is Better
A . 191.92 |===================================================================
B . 190.73 |===================================================================
C . 189.23 |==================================================================
Facebook RocksDB 7.0.1
Test: Read Random Write Random
Op/s > Higher Is Better
A . 2904862 |==================================================================
B . 2865013 |=================================================================
C . 2882009 |=================================================================
SVT-HEVC 1.5.0
Tuning: 10 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
A . 133.39 |===================================================================
B . 131.58 |==================================================================
C . 132.13 |==================================================================
ONNX Runtime 1.11
Model: yolov4 - Device: CPU - Executor: Standard
Inferences Per Minute > Higher Is Better
A . 529 |======================================================================
B . 527 |======================================================================
C . 522 |=====================================================================
oneDNN 2.6
Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
A . 880.42 |===================================================================
B . 871.34 |==================================================================
C . 868.80 |==================================================================
SVT-AV1 1.0
Encoder Mode: Preset 4 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
A . 5.472 |====================================================================
B . 5.431 |===================================================================
C . 5.401 |===================================================================
Java JMH
Throughput
Ops/s > Higher Is Better
A . 90801514532.11 |==========================================================
B . 91846052434.50 |===========================================================
C . 90741800042.54 |==========================================================
Stress-NG 0.14
Test: MMAP
Bogo Ops/s > Higher Is Better
A . 1686.14 |==================================================================
B . 1665.99 |=================================================================
C . 1671.06 |=================================================================
Nettle 3.8
Test: poly1305-aes
Mbyte/s > Higher Is Better
A . 3708.97 |=================================================================
B . 3740.29 |==================================================================
C . 3695.61 |=================================================================
oneDNN 2.6
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
A . 0.232440 |=================================================================
B . 0.230458 |================================================================
C . 0.233227 |=================================================================
nginx 1.21.1
Concurrent Requests: 100
Requests Per Second > Higher Is Better
A . 152697.49 |================================================================
B . 150993.71 |===============================================================
C . 152791.84 |================================================================
OSPray 2.9
Benchmark: gravity_spheres_volume/dim_512/ao/real_time
Items Per Second > Higher Is Better
A . 13.58 |===================================================================
B . 13.72 |====================================================================
C . 13.74 |====================================================================
simdjson 2.0
Throughput Test: LargeRandom
GB/s > Higher Is Better
A . 0.86 |=====================================================================
B . 0.86 |=====================================================================
C . 0.85 |====================================================================
nginx 1.21.1
Concurrent Requests: 200
Requests Per Second > Higher Is Better
A . 159676.56 |================================================================
B . 159256.42 |================================================================
C . 157843.09 |===============================================================
AOM AV1 3.3
Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
A . 3.53 |====================================================================
B . 3.55 |=====================================================================
C . 3.57 |=====================================================================
Glibc Benchmarks
Benchmark: modf
ns < Lower Is Better
A . 6.11030 |=================================================================
B . 6.17880 |==================================================================
C . 6.14095 |==================================================================
OSPray 2.9
Benchmark: particle_volume/ao/real_time
Items Per Second > Higher Is Better
A . 108.23 |==================================================================
B . 109.39 |===================================================================
C . 108.99 |===================================================================
OSPray 2.9
Benchmark: particle_volume/scivis/real_time
Items Per Second > Higher Is Better
A . 106.42 |==================================================================
B . 107.32 |===================================================================
C . 106.21 |==================================================================
SVT-HEVC 1.5.0
Tuning: 10 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
A . 339.56 |==================================================================
B . 343.05 |===================================================================
C . 340.52 |===================================================================
Glibc Benchmarks
Benchmark: cos
ns < Lower Is Better
A . 68.24 |====================================================================
B . 68.42 |====================================================================
C . 67.74 |===================================================================
Glibc Benchmarks
Benchmark: sin
ns < Lower Is Better
A . 58.73 |===================================================================
B . 59.30 |====================================================================
C . 59.10 |====================================================================
oneDNN 2.6
Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
A . 2.08511 |=================================================================
B . 2.10070 |==================================================================
C . 2.10487 |==================================================================
nginx 1.21.1
Concurrent Requests: 1
Requests Per Second > Higher Is Better
A . 29191.38 |=================================================================
B . 28929.04 |================================================================
C . 29196.39 |=================================================================
Glibc Benchmarks
Benchmark: pthread_once
ns < Lower Is Better
A . 4.73900 |=================================================================
B . 4.78202 |==================================================================
C . 4.77963 |==================================================================
TensorFlow Lite 2022-05-18
Model: Mobilenet Float
Microseconds < Lower Is Better
A . 3411.68 |==================================================================
B . 3381.23 |=================================================================
C . 3383.49 |=================================================================
OSPray 2.9
Benchmark: particle_volume/pathtracer/real_time
Items Per Second > Higher Is Better
A . 194.85 |===================================================================
B . 194.28 |==================================================================
C . 195.98 |===================================================================
x264 2022-02-22
Video Input: Bosphorus 4K
Frames Per Second > Higher Is Better
A . 46.94 |===================================================================
B . 47.02 |====================================================================
C . 47.34 |====================================================================
simdjson 2.0
Throughput Test: PartialTweets
GB/s > Higher Is Better
A . 3.69 |====================================================================
B . 3.72 |=====================================================================
C . 3.70 |=====================================================================
libavif avifenc 0.10
Encoder Speed: 0
Seconds < Lower Is Better
A . 97.01 |====================================================================
B . 97.17 |====================================================================
C . 96.39 |===================================================================
Glibc Benchmarks
Benchmark: sinh
ns < Lower Is Better
A . 25.49 |===================================================================
B . 25.69 |====================================================================
C . 25.69 |====================================================================
OSPray 2.9
Benchmark: gravity_spheres_volume/dim_512/scivis/real_time
Items Per Second > Higher Is Better
A . 13.43 |===================================================================
B . 13.47 |====================================================================
C . 13.54 |====================================================================
oneDNN 2.6
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
ms < Lower Is Better
A . 3.92995 |==================================================================
B . 3.92330 |==================================================================
C . 3.95272 |==================================================================
Glibc Benchmarks
Benchmark: sqrt
ns < Lower Is Better
A . 6.15346 |==================================================================
B . 6.19897 |==================================================================
C . 6.16877 |==================================================================
Timed MPlayer Compilation 1.5
Time To Compile
Seconds < Lower Is Better
A . 12.70 |====================================================================
B . 12.61 |====================================================================
C . 12.61 |====================================================================
Glibc Benchmarks
Benchmark: exp
ns < Lower Is Better
A . 15.57 |====================================================================
B . 15.63 |====================================================================
C . 15.52 |====================================================================
Glibc Benchmarks
Benchmark: ffs
ns < Lower Is Better
A . 4.79113 |==================================================================
B . 4.79183 |==================================================================
C . 4.82530 |==================================================================
simdjson 2.0
Throughput Test: DistinctUserID
GB/s > Higher Is Better
A . 4.28 |=====================================================================
B . 4.30 |=====================================================================
C . 4.27 |=====================================================================
Stress-NG 0.14
Test: Vector Math
Bogo Ops/s > Higher Is Better
A . 172699.69 |================================================================
B . 173550.28 |================================================================
C . 172356.49 |================================================================
oneDNN 2.6
Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU
ms < Lower Is Better
A . 2.99374 |==================================================================
B . 3.01428 |==================================================================
C . 3.00023 |==================================================================
Stress-NG 0.14
Test: CPU Stress
Bogo Ops/s > Higher Is Better
A . 105656.32 |================================================================
B . 105053.55 |================================================================
C . 104938.60 |================================================================
Stress-NG 0.14
Test: Forking
Bogo Ops/s > Higher Is Better
A . 47213.65 |=================================================================
B . 47180.40 |=================================================================
C . 47498.90 |=================================================================
oneDNN 2.6
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU
ms < Lower Is Better
A . 0.307546 |=================================================================
B . 0.306507 |=================================================================
C . 0.305485 |=================================================================
ONNX Runtime 1.11
Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard
Inferences Per Minute > Higher Is Better
A . 1700 |=====================================================================
B . 1697 |=====================================================================
C . 1689 |=====================================================================
OSPray 2.9
Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time
Items Per Second > Higher Is Better
A . 16.23 |====================================================================
B . 16.16 |====================================================================
C . 16.13 |====================================================================
OSPray Studio 0.10
Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer
ms < Lower Is Better
A . 8564 |=====================================================================
B . 8533 |=====================================================================
C . 8587 |=====================================================================
oneDNN 2.6
Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
A . 453.11 |===================================================================
B . 451.60 |===================================================================
C . 450.30 |===================================================================
Stress-NG 0.14
Test: System V Message Passing
Bogo Ops/s > Higher Is Better
A . 3944584.98 |===============================================================
B . 3955795.95 |===============================================================
C . 3968510.86 |===============================================================
oneDNN 2.6
Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
A . 3.72981 |==================================================================
B . 3.72794 |==================================================================
C . 3.70853 |==================================================================
nginx 1.21.1
Concurrent Requests: 1000
Requests Per Second > Higher Is Better
A . 164799.04 |================================================================
B . 164214.50 |================================================================
C . 163876.76 |================================================================
Stress-NG 0.14
Test: Memory Copying
Bogo Ops/s > Higher Is Better
A . 7011.74 |==================================================================
B . 7033.99 |==================================================================
C . 7050.81 |==================================================================
GROMACS 2022.1
Implementation: MPI CPU - Input: water_GMX50_bare
Ns Per Day > Higher Is Better
A . 5.836 |====================================================================
B . 5.811 |====================================================================
C . 5.843 |====================================================================
Stress-NG 0.14
Test: Malloc
Bogo Ops/s > Higher Is Better
A . 217472149.53 |=============================================================
B . 216782885.23 |=============================================================
C . 217955200.37 |=============================================================
oneDNN 2.6
Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
A . 5.03515 |==================================================================
B . 5.06211 |==================================================================
C . 5.04983 |==================================================================
libavif avifenc 0.10
Encoder Speed: 10, Lossless
Seconds < Lower Is Better
A . 6.973 |====================================================================
B . 6.936 |====================================================================
C . 6.953 |====================================================================
SVT-HEVC 1.5.0
Tuning: 1 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
A . 7.92 |=====================================================================
B . 7.96 |=====================================================================
C . 7.94 |=====================================================================
SVT-HEVC 1.5.0
Tuning: 1 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
A . 29.01 |====================================================================
B . 28.88 |====================================================================
C . 28.87 |====================================================================
simdjson 2.0
Throughput Test: TopTweet
GB/s > Higher Is Better
A . 4.22 |=====================================================================
B . 4.24 |=====================================================================
C . 4.22 |=====================================================================
oneDNN 2.6
Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
A . 3.69564 |==================================================================
B . 3.67899 |==================================================================
C . 3.67879 |==================================================================
Stress-NG 0.14
Test: Semaphores
Bogo Ops/s > Higher Is Better
A . 6707967.45 |===============================================================
B . 6708782.81 |===============================================================
C . 6736736.94 |===============================================================
Etcpak 1.0
Benchmark: Single-Threaded - Configuration: ETC2
Mpx/s > Higher Is Better
A . 189.23 |===================================================================
B . 189.14 |===================================================================
C . 188.46 |===================================================================
Glibc Benchmarks
Benchmark: ffsll
ns < Lower Is Better
A . 4.57380 |==================================================================
B . 4.55586 |==================================================================
C . 4.57007 |==================================================================
Stress-NG 0.14
Test: IO_uring
Bogo Ops/s > Higher Is Better
A . 4871109.61 |===============================================================
B . 4852459.71 |===============================================================
C . 4859985.91 |===============================================================
OSPray Studio 0.10
Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer
ms < Lower Is Better
A . 10175 |====================================================================
B . 10186 |====================================================================
C . 10148 |====================================================================
perf-bench
Benchmark: Futex Hash
ops/sec > Higher Is Better
A . 2870019 |==================================================================
B . 2860347 |==================================================================
C . 2860657 |==================================================================
OSPray Studio 0.10
Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer
ms < Lower Is Better
A . 637 |======================================================================
B . 639 |======================================================================
C . 638 |======================================================================
OSPray Studio 0.10
Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer
ms < Lower Is Better
A . 8305 |=====================================================================
B . 8325 |=====================================================================
C . 8330 |=====================================================================
oneDNN 2.6
Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU
ms < Lower Is Better
A . 19.22 |====================================================================
B . 19.22 |====================================================================
C . 19.17 |====================================================================
oneDNN 2.6
Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
A . 4.45509 |==================================================================
B . 4.44290 |==================================================================
C . 4.44536 |==================================================================
Glibc Benchmarks
Benchmark: atanh
ns < Lower Is Better
A . 32.30 |====================================================================
B . 32.27 |====================================================================
C . 32.35 |====================================================================
OSPray Studio 0.10
Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer
ms < Lower Is Better
A . 16607 |====================================================================
B . 16622 |====================================================================
C . 16650 |====================================================================
Glibc Benchmarks
Benchmark: tanh
ns < Lower Is Better
A . 35.85 |====================================================================
B . 35.94 |====================================================================
C . 35.87 |====================================================================
Stress-NG 0.14
Test: MEMFD
Bogo Ops/s > Higher Is Better
A . 2420.44 |==================================================================
B . 2414.27 |==================================================================
C . 2419.96 |==================================================================
OSPray Studio 0.10
Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer
ms < Lower Is Better
A . 20298 |====================================================================
B . 20348 |====================================================================
C . 20322 |====================================================================
Glibc Benchmarks
Benchmark: sincos
ns < Lower Is Better
A . 41.37 |====================================================================
B . 41.47 |====================================================================
C . 41.42 |====================================================================
oneDNN 2.6
Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU
ms < Lower Is Better
A . 1.23463 |==================================================================
B . 1.23372 |==================================================================
C . 1.23195 |==================================================================
OSPray Studio 0.10
Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer
ms < Lower Is Better
A . 523 |======================================================================
B . 524 |======================================================================
C . 524 |======================================================================
oneDNN 2.6
Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
A . 3.14788 |==================================================================
B . 3.14990 |==================================================================
C . 3.15372 |==================================================================
Facebook RocksDB 7.0.1
Test: Update Random
Op/s > Higher Is Better
A . 175746 |===================================================================
B . 175854 |===================================================================
C . 176062 |===================================================================
Stress-NG 0.14
Test: SENDFILE
Bogo Ops/s > Higher Is Better
A . 859564.82 |================================================================
B . 859190.38 |================================================================
C . 860581.21 |================================================================
Glibc Benchmarks
Benchmark: asinh
ns < Lower Is Better
A . 28.29 |====================================================================
B . 28.28 |====================================================================
C . 28.26 |====================================================================
Stress-NG 0.14
Test: Glibc Qsort Data Sorting
Bogo Ops/s > Higher Is Better
A . 690.47 |===================================================================
B . 690.73 |===================================================================
C . 690.13 |===================================================================
Stress-NG 0.14
Test: Matrix Math
Bogo Ops/s > Higher Is Better
A . 175964.38 |================================================================
B . 175988.63 |================================================================
C . 176083.49 |================================================================
Stress-NG 0.14
Test: Crypto
Bogo Ops/s > Higher Is Better
A . 59728.27 |=================================================================
B . 59757.30 |=================================================================
C . 59750.12 |=================================================================
OSPray Studio 0.10
Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer
ms < Lower Is Better
A . 17084 |====================================================================
B . 17085 |====================================================================
C . 17092 |====================================================================
Stress-NG 0.14
Test: x86_64 RdRand
Bogo Ops/s > Higher Is Better
A . 503080.37 |================================================================
B . 503057.22 |================================================================
C . 503062.12 |================================================================
OSPray Studio 0.10
Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer
ms < Lower Is Better
A . 538 |======================================================================
B . 538 |======================================================================
C . 538 |======================================================================
AOM AV1 3.3
Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
A . 0.36 |=====================================================================
B . 0.36 |=====================================================================
C . 0.36 |=====================================================================
AOM AV1 3.3
Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
A . 0.16 |=====================================================================
B . 0.16 |=====================================================================
C . 0.16 |=====================================================================