AMD Ryzen Threadripper PRO 5965WX 24-Cores testing with a ASUS Pro WS WRX80E-SAGE SE WIFI (1201 BIOS) and ASUS NVIDIA NV106 2GB on Ubuntu 23.10 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 2311098-NE-TR860765996
tr
AMD Ryzen Threadripper PRO 5965WX 24-Cores testing with a ASUS Pro WS WRX80E-SAGE SE WIFI (1201 BIOS) and ASUS NVIDIA NV106 2GB on Ubuntu 23.10 via the Phoronix Test Suite.
a:
Processor: AMD Ryzen Threadripper PRO 5965WX 24-Cores @ 3.80GHz (24 Cores / 48 Threads), Motherboard: ASUS Pro WS WRX80E-SAGE SE WIFI (1201 BIOS), Chipset: AMD Starship/Matisse, Memory: 128GB, Disk: 2048GB SOLIDIGM SSDPFKKW020X7, Graphics: ASUS NVIDIA NV106 2GB, Audio: AMD Starship/Matisse, Monitor: VA2431, Network: 2 x Intel X550 + Intel Wi-Fi 6 AX200
OS: Ubuntu 23.10, Kernel: 6.5.0-10-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server + Wayland, Display Driver: nouveau, OpenGL: 4.3 Mesa 23.2.1-1ubuntu3, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1080
b:
Processor: AMD Ryzen Threadripper PRO 5965WX 24-Cores @ 3.80GHz (24 Cores / 48 Threads), Motherboard: ASUS Pro WS WRX80E-SAGE SE WIFI (1201 BIOS), Chipset: AMD Starship/Matisse, Memory: 128GB, Disk: 2048GB SOLIDIGM SSDPFKKW020X7, Graphics: ASUS NVIDIA NV106 2GB, Audio: AMD Starship/Matisse, Monitor: VA2431, Network: 2 x Intel X550 + Intel Wi-Fi 6 AX200
OS: Ubuntu 23.10, Kernel: 6.5.0-10-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server + Wayland, Display Driver: nouveau, OpenGL: 4.3 Mesa 23.2.1-1ubuntu3, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1080
NCNN 20230517
Target: CPU-v3-v3 - Model: mobilenet-v3
ms < Lower Is Better
a . 26.10 |====================================================================
b . 6.86 |==================
oneDNN 3.3
Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 3.56242 |=========================
b . 9.50780 |==================================================================
PostgreSQL 16
Scaling Factor: 100 - Clients: 800 - Mode: Read Write
TPS > Higher Is Better
a . 45945 |====================================================================
b . 18857 |============================
PostgreSQL 16
Scaling Factor: 100 - Clients: 800 - Mode: Read Write - Average Latency
ms < Lower Is Better
a . 17.41 |============================
b . 42.42 |====================================================================
PostgreSQL 16
Scaling Factor: 100 - Clients: 1000 - Mode: Read Write - Average Latency
ms < Lower Is Better
a . 23.59 |===============================
b . 51.99 |====================================================================
PostgreSQL 16
Scaling Factor: 100 - Clients: 1000 - Mode: Read Write
TPS > Higher Is Better
a . 42390 |====================================================================
b . 19233 |===============================
NCNN 20230517
Target: CPU-v2-v2 - Model: mobilenet-v2
ms < Lower Is Better
a . 16.01 |====================================================================
b . 8.22 |===================================
NCNN 20230517
Target: CPU - Model: alexnet
ms < Lower Is Better
a . 17.00 |====================================================================
b . 9.42 |======================================
Apache Hadoop 3.3.6
Operation: File Status - Threads: 20 - Files: 100000
Ops per sec > Higher Is Better
a . 465116 |=======================================
b . 806452 |===================================================================
oneDNN 3.3
Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 8.42273 |==================================================================
b . 5.15828 |========================================
oneDNN 3.3
Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 10.32 |===========================================
b . 16.27 |====================================================================
NCNN 20230517
Target: CPU - Model: FastestDet
ms < Lower Is Better
a . 12.77 |====================================================================
b . 8.26 |============================================
NCNN 20230517
Target: CPU - Model: regnety_400m
ms < Lower Is Better
a . 24.43 |=============================================
b . 37.10 |====================================================================
NCNN 20230517
Target: CPU - Model: efficientnet-b0
ms < Lower Is Better
a . 17.57 |=============================================
b . 26.44 |====================================================================
NCNN 20230517
Target: CPU - Model: yolov4-tiny
ms < Lower Is Better
a . 33.39 |====================================================================
b . 22.69 |==============================================
NCNN 20230517
Target: CPU - Model: shufflenet-v2
ms < Lower Is Better
a . 23.63 |====================================================================
b . 16.14 |==============================================
oneDNN 3.3
Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 7.15637 |=============================================
b . 10.32340 |=================================================================
oneDNN 3.3
Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 16.19 |====================================================
b . 21.34 |====================================================================
oneDNN 3.3
Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 0.586178 |==================================================
b . 0.758773 |=================================================================
NCNN 20230517
Target: CPU - Model: googlenet
ms < Lower Is Better
a . 22.28 |=====================================================
b . 28.44 |====================================================================
oneDNN 3.3
Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 2.77464 |====================================================
b . 3.50493 |==================================================================
Rodinia 3.1
Test: OpenMP HotSpot3D
Seconds < Lower Is Better
a . 75.78 |========================================================
b . 91.70 |====================================================================
NCNN 20230517
Target: CPU - Model: mnasnet
ms < Lower Is Better
a . 13.13 |==========================================================
b . 15.44 |====================================================================
NCNN 20230517
Target: CPU - Model: squeezenet_ssd
ms < Lower Is Better
a . 17.17 |====================================================================
b . 14.63 |==========================================================
NCNN 20230517
Target: CPU - Model: vision_transformer
ms < Lower Is Better
a . 231.58 |===================================================================
b . 198.61 |=========================================================
NCNN 20230517
Target: CPU - Model: vgg16
ms < Lower Is Better
a . 41.84 |====================================================================
b . 35.91 |==========================================================
Stress-NG 0.16.04
Test: Context Switching
Bogo Ops/s > Higher Is Better
a . 4803177.96 |=========================================================
b . 5347449.26 |===============================================================
PostgreSQL 16
Scaling Factor: 1 - Clients: 500 - Mode: Read Write - Average Latency
ms < Lower Is Better
a . 415.48 |============================================================
b . 461.89 |===================================================================
PostgreSQL 16
Scaling Factor: 1 - Clients: 500 - Mode: Read Write
TPS > Higher Is Better
a . 1203 |=====================================================================
b . 1083 |==============================================================
NCNN 20230517
Target: CPU - Model: blazeface
ms < Lower Is Better
a . 2.95 |=====================================================================
b . 2.69 |===============================================================
Apache IoTDB 1.2
Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100
Average Latency < Lower Is Better
a . 142.97 |=============================================================
b . 156.28 |===================================================================
NAS Parallel Benchmarks 3.4
Test / Class: EP.D
Total Mop/s > Higher Is Better
a . 2633.78 |=============================================================
b . 2871.66 |==================================================================
Stress-NG 0.16.04
Test: Glibc C String Functions
Bogo Ops/s > Higher Is Better
a . 30660102.97 |==========================================================
b . 33023477.62 |==============================================================
Zstd Compression 1.5.4
Compression Level: 8 - Compression Speed
MB/s > Higher Is Better
a . 854.3 |===============================================================
b . 917.1 |====================================================================
PostgreSQL 16
Scaling Factor: 1 - Clients: 1000 - Mode: Read Write
TPS > Higher Is Better
a . 665 |======================================================================
b . 620 |=================================================================
PostgreSQL 16
Scaling Factor: 1 - Clients: 1000 - Mode: Read Write - Average Latency
ms < Lower Is Better
a . 1504.47 |==============================================================
b . 1613.43 |==================================================================
NCNN 20230517
Target: CPU - Model: mobilenet
ms < Lower Is Better
a . 18.62 |====================================================================
b . 17.38 |===============================================================
Whisper.cpp 1.4
Model: ggml-base.en - Input: 2016 State of the Union
Seconds < Lower Is Better
a . 147.25 |===============================================================
b . 157.43 |===================================================================
7-Zip Compression 22.01
Test: Decompression Rating
MIPS > Higher Is Better
a . 168083 |===============================================================
b . 179127 |===================================================================
oneDNN 3.3
Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 4811.20 |==================================================================
b . 4521.66 |==============================================================
Monte Carlo Simulations of Ionised Nebulae 2.02.73.3
Input: Dust 2D tau100.0
Seconds < Lower Is Better
a . 109.72 |===================================================================
b . 103.34 |===============================================================
easyWave r34
Input: e2Asean Grid + BengkuluSept2007 Source - Time: 240
Seconds < Lower Is Better
a . 4.963 |================================================================
b . 5.269 |====================================================================
Apache IoTDB 1.2
Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100
Average Latency < Lower Is Better
a . 103.83 |===============================================================
b . 109.63 |===================================================================
SVT-AV1 1.7
Encoder Mode: Preset 8 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 126.13 |================================================================
b . 132.96 |===================================================================
QMCPACK 3.17.1
Input: LiH_ae_MSD
Total Execution Time - Seconds < Lower Is Better
a . 125.40 |===================================================================
b . 119.16 |================================================================
PostgreSQL 16
Scaling Factor: 1 - Clients: 800 - Mode: Read Write - Average Latency
ms < Lower Is Better
a . 1103.87 |==================================================================
b . 1049.64 |===============================================================
PostgreSQL 16
Scaling Factor: 1 - Clients: 800 - Mode: Read Write
TPS > Higher Is Better
a . 725 |===================================================================
b . 762 |======================================================================
oneDNN 3.3
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 9.72501 |==================================================================
b . 9.25820 |===============================================================
Stress-NG 0.16.04
Test: Fused Multiply-Add
Bogo Ops/s > Higher Is Better
a . 72143203.62 |==============================================================
b . 68790290.88 |===========================================================
Apache IoTDB 1.2
Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400
Average Latency < Lower Is Better
a . 272.97 |================================================================
b . 285.34 |===================================================================
Rodinia 3.1
Test: OpenMP LavaMD
Seconds < Lower Is Better
a . 68.28 |=================================================================
b . 71.25 |====================================================================
OpenSSL 3.1
Algorithm: SHA512
byte/s > Higher Is Better
a . 13408890880 |==============================================================
b . 12871751730 |============================================================
RocksDB 8.0
Test: Read While Writing
Op/s > Higher Is Better
a . 4617736 |==================================================================
b . 4434823 |===============================================================
Apache IoTDB 1.2
Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100
point/sec > Higher Is Better
a . 43427177 |=================================================================
b . 41795296 |===============================================================
C-Blosc 2.11
Test: blosclz shuffle - Buffer Size: 8MB
MB/s > Higher Is Better
a . 15164.3 |==================================================================
b . 14597.4 |================================================================
VVenC 1.9
Video Input: Bosphorus 1080p - Video Preset: Faster
Frames Per Second > Higher Is Better
a . 32.37 |==================================================================
b . 33.59 |====================================================================
ClickHouse 22.12.3.5
100M Rows Hits Dataset, First Run / Cold Cache
Queries Per Minute, Geo Mean > Higher Is Better
a . 274.47 |=================================================================
b . 284.63 |===================================================================
SVT-VP9 0.3
Tuning: VMAF Optimized - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 93.67 |==================================================================
b . 97.08 |====================================================================
QMCPACK 3.17.1
Input: H4_ae
Total Execution Time - Seconds < Lower Is Better
a . 20.84 |====================================================================
b . 20.13 |==================================================================
NCNN 20230517
Target: CPU - Model: resnet18
ms < Lower Is Better
a . 13.61 |====================================================================
b . 13.15 |==================================================================
OpenRadioss 2023.09.15
Model: Bumper Beam
Seconds < Lower Is Better
a . 110.95 |===================================================================
b . 107.30 |=================================================================
CloverLeaf 1.3
Input: clover_bm
Seconds < Lower Is Better
a . 59.42 |====================================================================
b . 57.51 |==================================================================
Stress-NG 0.16.04
Test: Forking
Bogo Ops/s > Higher Is Better
a . 45021.86 |===============================================================
b . 46465.59 |=================================================================
oneDNN 3.3
Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 4431.40 |==================================================================
b . 4295.22 |================================================================
SQLite 3.41.2
Threads / Copies: 2
Seconds < Lower Is Better
a . 10.080 |===================================================================
b . 9.773 |=================================================================
C-Blosc 2.11
Test: blosclz bitshuffle - Buffer Size: 256MB
MB/s > Higher Is Better
a . 5751.6 |===================================================================
b . 5581.8 |=================================================================
Kvazaar 2.2
Video Input: Bosphorus 1080p - Video Preset: Very Fast
Frames Per Second > Higher Is Better
a . 147.30 |===================================================================
b . 143.04 |=================================================================
OpenRadioss 2023.09.15
Model: Cell Phone Drop Test
Seconds < Lower Is Better
a . 46.77 |==================================================================
b . 48.16 |====================================================================
Apache IoTDB 1.2
Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400
Average Latency < Lower Is Better
a . 114.16 |=================================================================
b . 117.53 |===================================================================
nginx 1.23.2
Connections: 200
Requests Per Second > Higher Is Better
a . 137957.75 |================================================================
b . 134010.32 |==============================================================
Apache IoTDB 1.2
Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100
Average Latency < Lower Is Better
a . 123.39 |===================================================================
b . 119.90 |=================================================================
High Performance Conjugate Gradient 3.1
X Y Z: 144 144 144 - RT: 60
GFLOP/s > Higher Is Better
a . 11.78 |==================================================================
b . 12.12 |====================================================================
Apache IoTDB 1.2
Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400
Average Latency < Lower Is Better
a . 205.79 |=================================================================
b . 211.63 |===================================================================
SVT-AV1 1.7
Encoder Mode: Preset 4 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 13.11 |====================================================================
b . 12.75 |==================================================================
C-Blosc 2.11
Test: blosclz bitshuffle - Buffer Size: 32MB
MB/s > Higher Is Better
a . 13355.5 |==================================================================
b . 12988.4 |================================================================
Apache Hadoop 3.3.6
Operation: Create - Threads: 20 - Files: 100000
Ops per sec > Higher Is Better
a . 31279 |====================================================================
b . 30432 |==================================================================
SVT-AV1 1.7
Encoder Mode: Preset 12 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 170.99 |=================================================================
b . 175.73 |===================================================================
Stress-NG 0.16.04
Test: Mutex
Bogo Ops/s > Higher Is Better
a . 8070540.93 |===============================================================
b . 7857209.56 |=============================================================
TensorFlow 2.12
Device: CPU - Batch Size: 32 - Model: GoogLeNet
images/sec > Higher Is Better
a . 60.86 |====================================================================
b . 59.30 |==================================================================
Apache IoTDB 1.2
Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400
Average Latency < Lower Is Better
a . 282.36 |=================================================================
b . 289.64 |===================================================================
NAS Parallel Benchmarks 3.4
Test / Class: SP.B
Total Mop/s > Higher Is Better
a . 35080.84 |===============================================================
b . 35972.61 |=================================================================
Timed LLVM Compilation 16.0
Build System: Unix Makefiles
Seconds < Lower Is Better
a . 351.30 |===================================================================
b . 342.62 |=================================================================
OpenRadioss 2023.09.15
Model: INIVOL and Fluid Structure Interaction Drop Container
Seconds < Lower Is Better
a . 265.44 |===================================================================
b . 259.07 |=================================================================
Apache IoTDB 1.2
Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100
Average Latency < Lower Is Better
a . 58.53 |====================================================================
b . 57.16 |==================================================================
C-Blosc 2.11
Test: blosclz bitshuffle - Buffer Size: 64MB
MB/s > Higher Is Better
a . 10631.0 |==================================================================
b . 10382.5 |================================================================
VVenC 1.9
Video Input: Bosphorus 1080p - Video Preset: Fast
Frames Per Second > Higher Is Better
a . 18.34 |==================================================================
b . 18.76 |====================================================================
Apache IoTDB 1.2
Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100
Average Latency < Lower Is Better
a . 70.75 |==================================================================
b . 72.37 |====================================================================
OpenRadioss 2023.09.15
Model: Bird Strike on Windshield
Seconds < Lower Is Better
a . 149.96 |==================================================================
b . 153.39 |===================================================================
Zstd Compression 1.5.4
Compression Level: 3, Long Mode - Compression Speed
MB/s > Higher Is Better
a . 658.5 |====================================================================
b . 644.0 |===================================================================
OpenVINO 2023.2.dev
Model: Handwritten English Recognition FP16-INT8 - Device: CPU
FPS > Higher Is Better
a . 306.99 |==================================================================
b . 313.90 |===================================================================
OpenVINO 2023.2.dev
Model: Handwritten English Recognition FP16-INT8 - Device: CPU
ms < Lower Is Better
a . 78.11 |====================================================================
b . 76.40 |===================================================================
PostgreSQL 16
Scaling Factor: 100 - Clients: 500 - Mode: Read Write - Average Latency
ms < Lower Is Better
a . 9.868 |==================================================================
b . 10.088 |===================================================================
PostgreSQL 16
Scaling Factor: 100 - Clients: 500 - Mode: Read Write
TPS > Higher Is Better
a . 50670 |====================================================================
b . 49565 |===================================================================
QMCPACK 3.17.1
Input: O_ae_pyscf_UHF
Total Execution Time - Seconds < Lower Is Better
a . 257.31 |===================================================================
b . 251.77 |==================================================================
SPECFEM3D 4.0
Model: Mount St. Helens
Seconds < Lower Is Better
a . 27.47 |===================================================================
b . 28.07 |====================================================================
C-Blosc 2.11
Test: blosclz noshuffle - Buffer Size: 16MB
MB/s > Higher Is Better
a . 12068.3 |=================================================================
b . 12332.3 |==================================================================
SVT-VP9 0.3
Tuning: VMAF Optimized - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 390.92 |==================================================================
b . 399.47 |===================================================================
oneDNN 3.3
Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 15.78 |====================================================================
b . 15.45 |===================================================================
Apache IoTDB 1.2
Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100
point/sec > Higher Is Better
a . 66016855 |=================================================================
b . 64703976 |================================================================
Zstd Compression 1.5.4
Compression Level: 12 - Decompression Speed
MB/s > Higher Is Better
a . 1819.6 |===================================================================
b . 1784.2 |==================================================================
Zstd Compression 1.5.4
Compression Level: 19, Long Mode - Decompression Speed
MB/s > Higher Is Better
a . 1488.7 |==================================================================
b . 1518.2 |===================================================================
Apache IoTDB 1.2
Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100
Average Latency < Lower Is Better
a . 38.98 |====================================================================
b . 38.23 |===================================================================
C-Blosc 2.11
Test: blosclz bitshuffle - Buffer Size: 8MB
MB/s > Higher Is Better
a . 16072.8 |==================================================================
b . 15774.0 |=================================================================
oneDNN 3.3
Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 10.95 |====================================================================
b . 10.75 |===================================================================
Apache IoTDB 1.2
Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100
Average Latency < Lower Is Better
a . 76.83 |====================================================================
b . 75.43 |===================================================================
Apache IoTDB 1.2
Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400
point/sec > Higher Is Better
a . 62929621 |=================================================================
b . 61785235 |================================================================
OpenRadioss 2023.09.15
Model: Rubber O-Ring Seal Installation
Seconds < Lower Is Better
a . 85.49 |====================================================================
b . 83.94 |===================================================================
Stress-NG 0.16.04
Test: SENDFILE
Bogo Ops/s > Higher Is Better
a . 329200.06 |===============================================================
b . 335277.70 |================================================================
Stress-NG 0.16.04
Test: Pipe
Bogo Ops/s > Higher Is Better
a . 13012555.28 |=============================================================
b . 13250944.77 |==============================================================
Zstd Compression 1.5.4
Compression Level: 3 - Compression Speed
MB/s > Higher Is Better
a . 2990.1 |==================================================================
b . 3044.7 |===================================================================
oneDNN 3.3
Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 7834.31 |==================================================================
b . 7694.07 |=================================================================
PostgreSQL 16
Scaling Factor: 1 - Clients: 500 - Mode: Read Only - Average Latency
ms < Lower Is Better
a . 0.340 |===================================================================
b . 0.346 |====================================================================
QMCPACK 3.17.1
Input: FeCO6_b3lyp_gms
Total Execution Time - Seconds < Lower Is Better
a . 166.38 |===================================================================
b . 163.51 |==================================================================
Apache Hadoop 3.3.6
Operation: Open - Threads: 20 - Files: 100000
Ops per sec > Higher Is Better
a . 574713 |==================================================================
b . 584795 |===================================================================
Stress-NG 0.16.04
Test: Futex
Bogo Ops/s > Higher Is Better
a . 3131000.15 |==============================================================
b . 3184742.79 |===============================================================
Apache IoTDB 1.2
Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100
point/sec > Higher Is Better
a . 99639931 |===============================================================
b . 101308261 |================================================================
OpenVINO 2023.2.dev
Model: Vehicle Detection FP16 - Device: CPU
ms < Lower Is Better
a . 20.10 |====================================================================
b . 19.77 |===================================================================
OpenVINO 2023.2.dev
Model: Vehicle Detection FP16 - Device: CPU
FPS > Higher Is Better
a . 596.35 |==================================================================
b . 606.21 |===================================================================
Whisper.cpp 1.4
Model: ggml-small.en - Input: 2016 State of the Union
Seconds < Lower Is Better
a . 367.31 |===================================================================
b . 361.47 |==================================================================
PostgreSQL 16
Scaling Factor: 1 - Clients: 500 - Mode: Read Only
TPS > Higher Is Better
a . 1468563 |==================================================================
b . 1445315 |=================================================================
7-Zip Compression 22.01
Test: Compression Rating
MIPS > Higher Is Better
a . 196462 |===================================================================
b . 193390 |==================================================================
Kvazaar 2.2
Video Input: Bosphorus 1080p - Video Preset: Medium
Frames Per Second > Higher Is Better
a . 65.58 |===================================================================
b . 66.62 |====================================================================
C-Blosc 2.11
Test: blosclz shuffle - Buffer Size: 16MB
MB/s > Higher Is Better
a . 15169.3 |=================================================================
b . 15408.5 |==================================================================
QMCPACK 3.17.1
Input: simple-H2O
Total Execution Time - Seconds < Lower Is Better
a . 30.81 |===================================================================
b . 31.27 |====================================================================
NAS Parallel Benchmarks 3.4
Test / Class: EP.C
Total Mop/s > Higher Is Better
a . 2819.63 |=================================================================
b . 2861.56 |==================================================================
SVT-AV1 1.7
Encoder Mode: Preset 12 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 521.25 |==================================================================
b . 529.00 |===================================================================
C-Blosc 2.11
Test: blosclz shuffle - Buffer Size: 128MB
MB/s > Higher Is Better
a . 8198.4 |===================================================================
b . 8078.5 |==================================================================
VVenC 1.9
Video Input: Bosphorus 4K - Video Preset: Faster
Frames Per Second > Higher Is Better
a . 12.01 |===================================================================
b . 12.18 |====================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 16 - Model: GoogLeNet
images/sec > Higher Is Better
a . 58.62 |===================================================================
b . 59.48 |====================================================================
SVT-AV1 1.7
Encoder Mode: Preset 13 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 604.65 |==================================================================
b . 613.47 |===================================================================
SPECFEM3D 4.0
Model: Layered Halfspace
Seconds < Lower Is Better
a . 64.13 |===================================================================
b . 65.07 |====================================================================
Stress-NG 0.16.04
Test: Atomic
Bogo Ops/s > Higher Is Better
a . 196.84 |==================================================================
b . 199.69 |===================================================================
uvg266 0.4.1
Video Input: Bosphorus 1080p - Video Preset: Very Fast
Frames Per Second > Higher Is Better
a . 142.39 |==================================================================
b . 144.45 |===================================================================
x265 3.4
Video Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 28.47 |===================================================================
b . 28.88 |====================================================================
SQLite 3.41.2
Threads / Copies: 4
Seconds < Lower Is Better
a . 13.51 |===================================================================
b . 13.71 |====================================================================
SVT-AV1 1.7
Encoder Mode: Preset 8 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 77.10 |===================================================================
b . 78.20 |====================================================================
Kvazaar 2.2
Video Input: Bosphorus 1080p - Video Preset: Ultra Fast
Frames Per Second > Higher Is Better
a . 232.33 |===================================================================
b . 229.07 |==================================================================
OpenVINO 2023.2.dev
Model: Handwritten English Recognition FP16 - Device: CPU
FPS > Higher Is Better
a . 297.74 |==================================================================
b . 301.95 |===================================================================
OpenVINO 2023.2.dev
Model: Handwritten English Recognition FP16 - Device: CPU
ms < Lower Is Better
a . 80.54 |====================================================================
b . 79.42 |===================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 64 - Model: GoogLeNet
images/sec > Higher Is Better
a . 56.93 |===================================================================
b . 57.70 |====================================================================
easyWave r34
Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200
Seconds < Lower Is Better
a . 166.51 |==================================================================
b . 168.75 |===================================================================
Whisper.cpp 1.4
Model: ggml-medium.en - Input: 2016 State of the Union
Seconds < Lower Is Better
a . 888.52 |==================================================================
b . 900.34 |===================================================================
John The Ripper 2023.03.14
Test: HMAC-SHA512
Real C/S > Higher Is Better
a . 18054000 |=================================================================
b . 17818000 |================================================================
uvg266 0.4.1
Video Input: Bosphorus 1080p - Video Preset: Slow
Frames Per Second > Higher Is Better
a . 43.89 |===================================================================
b . 44.47 |====================================================================
Kvazaar 2.2
Video Input: Bosphorus 1080p - Video Preset: Slow
Frames Per Second > Higher Is Better
a . 62.16 |===================================================================
b . 62.97 |====================================================================
Zstd Compression 1.5.4
Compression Level: 8, Long Mode - Compression Speed
MB/s > Higher Is Better
a . 784.8 |===================================================================
b . 795.0 |====================================================================
C-Blosc 2.11
Test: blosclz noshuffle - Buffer Size: 32MB
MB/s > Higher Is Better
a . 10219.1 |=================================================================
b . 10351.5 |==================================================================
SQLite 3.41.2
Threads / Copies: 1
Seconds < Lower Is Better
a . 8.138 |====================================================================
b . 8.034 |===================================================================
C-Blosc 2.11
Test: blosclz noshuffle - Buffer Size: 8MB
MB/s > Higher Is Better
a . 12665.5 |=================================================================
b . 12827.7 |==================================================================
libxsmm 2-1.17-3645
M N K: 256
GFLOPS/s > Higher Is Better
a . 619.0 |====================================================================
b . 611.2 |===================================================================
C-Blosc 2.11
Test: blosclz shuffle - Buffer Size: 256MB
MB/s > Higher Is Better
a . 5776.8 |===================================================================
b . 5705.1 |==================================================================
NWChem 7.0.2
Input: C240 Buckyball
Seconds < Lower Is Better
a . 3570.0 |===================================================================
b . 3526.2 |==================================================================
Apache IoTDB 1.2
Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100
point/sec > Higher Is Better
a . 79251708 |================================================================
b . 80230517 |=================================================================
uvg266 0.4.1
Video Input: Bosphorus 4K - Video Preset: Ultra Fast
Frames Per Second > Higher Is Better
a . 47.87 |===================================================================
b . 48.46 |====================================================================
Zstd Compression 1.5.4
Compression Level: 3, Long Mode - Decompression Speed
MB/s > Higher Is Better
a . 1660.3 |===================================================================
b . 1640.3 |==================================================================
Stream 2013-01-17
Type: Scale
MB/s > Higher Is Better
a . 62703.7 |==================================================================
b . 61955.0 |=================================================================
OSPRay 2.12
Benchmark: gravity_spheres_volume/dim_512/scivis/real_time
Items Per Second > Higher Is Better
a . 4.35238 |=================================================================
b . 4.40390 |==================================================================
Apache Hadoop 3.3.6
Operation: Delete - Threads: 20 - Files: 100000
Ops per sec > Higher Is Better
a . 36724 |====================================================================
b . 36298 |===================================================================
VVenC 1.9
Video Input: Bosphorus 4K - Video Preset: Fast
Frames Per Second > Higher Is Better
a . 6.668 |===================================================================
b . 6.746 |====================================================================
Embree 4.3
Binary: Pathtracer ISPC - Model: Crown
Frames Per Second > Higher Is Better
a . 30.70 |===================================================================
b . 31.05 |====================================================================
Apache IoTDB 1.2
Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100
point/sec > Higher Is Better
a . 47212437 |================================================================
b . 47738065 |=================================================================
OSPRay 2.12
Benchmark: particle_volume/pathtracer/real_time
Items Per Second > Higher Is Better
a . 175.74 |===================================================================
b . 173.82 |==================================================================
SVT-AV1 1.7
Encoder Mode: Preset 13 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 173.55 |==================================================================
b . 175.42 |===================================================================
Stream 2013-01-17
Type: Triad
MB/s > Higher Is Better
a . 70199.1 |==================================================================
b . 69457.1 |=================================================================
Apache IoTDB 1.2
Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100
point/sec > Higher Is Better
a . 24597150 |=================================================================
b . 24346407 |================================================================
SPECFEM3D 4.0
Model: Tomographic Model
Seconds < Lower Is Better
a . 30.32 |====================================================================
b . 30.02 |===================================================================
Apache IoTDB 1.2
Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100
point/sec > Higher Is Better
a . 13379847 |================================================================
b . 13513355 |=================================================================
SVT-HEVC 1.5.0
Tuning: 7 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 105.50 |==================================================================
b . 106.53 |===================================================================
QuantLib 1.32
Configuration: Multi-Threaded
MFLOPS > Higher Is Better
a . 101118.4 |=================================================================
b . 100146.3 |================================================================
Stream 2013-01-17
Type: Copy
MB/s > Higher Is Better
a . 64896.2 |==================================================================
b . 64274.7 |=================================================================
oneDNN 3.3
Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
a . 7757.30 |=================================================================
b . 7832.07 |==================================================================
Stress-NG 0.16.04
Test: Floating Point
Bogo Ops/s > Higher Is Better
a . 9738.89 |=================================================================
b . 9831.78 |==================================================================
SQLite 3.41.2
Threads / Copies: 8
Seconds < Lower Is Better
a . 20.11 |===================================================================
b . 20.30 |====================================================================
RocksDB 8.0
Test: Sequential Fill
Op/s > Higher Is Better
a . 567357 |===================================================================
b . 562039 |==================================================================
uvg266 0.4.1
Video Input: Bosphorus 4K - Video Preset: Very Fast
Frames Per Second > Higher Is Better
a . 38.34 |===================================================================
b . 38.70 |====================================================================
OpenVINO 2023.2.dev
Model: Face Detection FP16 - Device: CPU
FPS > Higher Is Better
a . 7.55 |=====================================================================
b . 7.48 |====================================================================
Apache Cassandra 4.1.3
Test: Writes
Op/s > Higher Is Better
a . 215613 |==================================================================
b . 217620 |===================================================================
High Performance Conjugate Gradient 3.1
X Y Z: 160 160 160 - RT: 60
GFLOP/s > Higher Is Better
a . 11.82 |===================================================================
b . 11.93 |====================================================================
RocksDB 8.0
Test: Random Fill
Op/s > Higher Is Better
a . 523821 |===================================================================
b . 519011 |==================================================================
Rodinia 3.1
Test: OpenMP Leukocyte
Seconds < Lower Is Better
a . 39.34 |====================================================================
b . 38.98 |===================================================================
Apache IoTDB 1.2
Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400
point/sec > Higher Is Better
a . 103115030 |================================================================
b . 102174855 |===============================================================
NAS Parallel Benchmarks 3.4
Test / Class: FT.C
Total Mop/s > Higher Is Better
a . 39511.98 |================================================================
b . 39854.79 |=================================================================
OpenRadioss 2023.09.15
Model: Chrysler Neon 1M
Seconds < Lower Is Better
a . 576.19 |==================================================================
b . 581.15 |===================================================================
Apache IoTDB 1.2
Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100
Average Latency < Lower Is Better
a . 85.36 |====================================================================
b . 84.64 |===================================================================
Apache IoTDB 1.2
Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400
point/sec > Higher Is Better
a . 90156510 |================================================================
b . 90910792 |=================================================================
OpenVINO 2023.2.dev
Model: Face Detection FP16 - Device: CPU
ms < Lower Is Better
a . 1579.27 |=================================================================
b . 1592.16 |==================================================================
SVT-AV1 1.7
Encoder Mode: Preset 4 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 5.056 |====================================================================
b . 5.016 |===================================================================
OSPRay Studio 0.13
Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 41795 |===================================================================
b . 42120 |====================================================================
PostgreSQL 16
Scaling Factor: 100 - Clients: 500 - Mode: Read Only - Average Latency
ms < Lower Is Better
a . 0.387 |===================================================================
b . 0.390 |====================================================================
C-Blosc 2.11
Test: blosclz noshuffle - Buffer Size: 128MB
MB/s > Higher Is Better
a . 6644.5 |==================================================================
b . 6695.8 |===================================================================
OSPRay Studio 0.13
Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 177262 |===================================================================
b . 175915 |==================================================================
OpenVINO 2023.2.dev
Model: Road Segmentation ADAS FP16 - Device: CPU
ms < Lower Is Better
a . 69.33 |===================================================================
b . 69.86 |====================================================================
OpenVKL 2.0.0
Benchmark: vklBenchmarkCPU ISPC
Items / Sec > Higher Is Better
a . 525 |=====================================================================
b . 529 |======================================================================
Timed Godot Game Engine Compilation 4.0
Time To Compile
Seconds < Lower Is Better
a . 162.60 |===================================================================
b . 161.37 |==================================================================
Zstd Compression 1.5.4
Compression Level: 19, Long Mode - Compression Speed
MB/s > Higher Is Better
a . 9.27 |=====================================================================
b . 9.20 |====================================================================
OpenVINO 2023.2.dev
Model: Road Segmentation ADAS FP16 - Device: CPU
FPS > Higher Is Better
a . 172.90 |===================================================================
b . 171.61 |===================================================================
OSPRay Studio 0.13
Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 1357 |=====================================================================
b . 1347 |====================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 64 - Model: ResNet-50
images/sec > Higher Is Better
a . 18.89 |===================================================================
b . 19.03 |====================================================================
OSPRay Studio 0.13
Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 21662 |====================================================================
b . 21504 |====================================================================
NAS Parallel Benchmarks 3.4
Test / Class: CG.C
Total Mop/s > Higher Is Better
a . 14846.47 |=================================================================
b . 14955.35 |=================================================================
Timed Linux Kernel Compilation 6.1
Build: allmodconfig
Seconds < Lower Is Better
a . 520.78 |===================================================================
b . 517.03 |===================================================================
oneDNN 3.3
Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
a . 4308.92 |==================================================================
b . 4339.32 |==================================================================
OpenVINO 2023.2.dev
Model: Person Vehicle Bike Detection FP16 - Device: CPU
FPS > Higher Is Better
a . 880.45 |===================================================================
b . 886.62 |===================================================================
OpenVKL 2.0.0
Benchmark: vklBenchmarkCPU Scalar
Items / Sec > Higher Is Better
a . 288 |======================================================================
b . 286 |======================================================================
Stream 2013-01-17
Type: Add
MB/s > Higher Is Better
a . 69855.0 |==================================================================
b . 69373.7 |==================================================================
Stress-NG 0.16.04
Test: Matrix Math
Bogo Ops/s > Higher Is Better
a . 129845.95 |================================================================
b . 130745.18 |================================================================
PostgreSQL 16
Scaling Factor: 1 - Clients: 800 - Mode: Read Only
TPS > Higher Is Better
a . 1427334 |==================================================================
b . 1437151 |==================================================================
C-Blosc 2.11
Test: blosclz shuffle - Buffer Size: 64MB
MB/s > Higher Is Better
a . 10740.6 |==================================================================
b . 10668.3 |==================================================================
QMCPACK 3.17.1
Input: Li2_STO_ae
Total Execution Time - Seconds < Lower Is Better
a . 210.95 |===================================================================
b . 209.54 |===================================================================
Stress-NG 0.16.04
Test: CPU Cache
Bogo Ops/s > Higher Is Better
a . 1361420.59 |===============================================================
b . 1352360.45 |===============================================================
OpenVINO 2023.2.dev
Model: Person Vehicle Bike Detection FP16 - Device: CPU
ms < Lower Is Better
a . 13.61 |====================================================================
b . 13.52 |====================================================================
Blender 3.6
Blend File: BMW27 - Compute: CPU-Only
Seconds < Lower Is Better
a . 48.40 |====================================================================
b . 48.08 |====================================================================
Zstd Compression 1.5.4
Compression Level: 8 - Decompression Speed
MB/s > Higher Is Better
a . 1755.3 |===================================================================
b . 1766.9 |===================================================================
OSPRay Studio 0.13
Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 152912 |===================================================================
b . 151941 |===================================================================
C-Blosc 2.11
Test: blosclz noshuffle - Buffer Size: 256MB
MB/s > Higher Is Better
a . 4948.4 |===================================================================
b . 4917.3 |===================================================================
NAS Parallel Benchmarks 3.4
Test / Class: BT.C
Total Mop/s > Higher Is Better
a . 62863.84 |=================================================================
b . 63259.23 |=================================================================
easyWave r34
Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400
Seconds < Lower Is Better
a . 432.81 |===================================================================
b . 430.14 |===================================================================
Apache IoTDB 1.2
Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400
point/sec > Higher Is Better
a . 91761285 |=================================================================
b . 91200685 |=================================================================
NAS Parallel Benchmarks 3.4
Test / Class: MG.C
Total Mop/s > Higher Is Better
a . 34749.27 |=================================================================
b . 34538.23 |=================================================================
Zstd Compression 1.5.4
Compression Level: 8, Long Mode - Decompression Speed
MB/s > Higher Is Better
a . 1796.9 |===================================================================
b . 1786.0 |===================================================================
SPECFEM3D 4.0
Model: Water-layered Halfspace
Seconds < Lower Is Better
a . 75.99 |====================================================================
b . 76.45 |====================================================================
Apache IoTDB 1.2
Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100
point/sec > Higher Is Better
a . 50413957 |=================================================================
b . 50714345 |=================================================================
C-Blosc 2.11
Test: blosclz bitshuffle - Buffer Size: 128MB
MB/s > Higher Is Better
a . 8104.5 |===================================================================
b . 8056.6 |===================================================================
Embree 4.3
Binary: Pathtracer - Model: Asian Dragon
Frames Per Second > Higher Is Better
a . 34.95 |====================================================================
b . 35.16 |====================================================================
PostgreSQL 16
Scaling Factor: 100 - Clients: 500 - Mode: Read Only
TPS > Higher Is Better
a . 1290633 |==================================================================
b . 1283032 |==================================================================
x265 3.4
Video Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 87.82 |====================================================================
b . 88.34 |====================================================================
Apache IoTDB 1.2
Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100
Average Latency < Lower Is Better
a . 53.34 |====================================================================
b . 53.03 |====================================================================
Kvazaar 2.2
Video Input: Bosphorus 1080p - Video Preset: Super Fast
Frames Per Second > Higher Is Better
a . 206.73 |===================================================================
b . 205.53 |===================================================================
Stress-NG 0.16.04
Test: Semaphores
Bogo Ops/s > Higher Is Better
a . 43582244.06 |==============================================================
b . 43835038.74 |==============================================================
Rodinia 3.1
Test: OpenMP CFD Solver
Seconds < Lower Is Better
a . 58.11 |====================================================================
b . 57.78 |====================================================================
uvg266 0.4.1
Video Input: Bosphorus 1080p - Video Preset: Ultra Fast
Frames Per Second > Higher Is Better
a . 167.65 |===================================================================
b . 168.61 |===================================================================
Kvazaar 2.2
Video Input: Bosphorus 4K - Video Preset: Slow
Frames Per Second > Higher Is Better
a . 19.32 |====================================================================
b . 19.43 |====================================================================
NCNN 20230517
Target: CPU - Model: resnet50
ms < Lower Is Better
a . 43.20 |====================================================================
b . 42.96 |====================================================================
OpenVINO 2023.2.dev
Model: Person Detection FP16 - Device: CPU
ms < Lower Is Better
a . 169.97 |===================================================================
b . 170.89 |===================================================================
PostgreSQL 16
Scaling Factor: 1 - Clients: 800 - Mode: Read Only - Average Latency
ms < Lower Is Better
a . 0.560 |====================================================================
b . 0.557 |====================================================================
uvg266 0.4.1
Video Input: Bosphorus 1080p - Video Preset: Medium
Frames Per Second > Higher Is Better
a . 50.24 |====================================================================
b . 50.51 |====================================================================
OpenVINO 2023.2.dev
Model: Face Detection Retail FP16 - Device: CPU
ms < Lower Is Better
a . 5.68 |=====================================================================
b . 5.65 |=====================================================================
OpenVINO 2023.2.dev
Model: Person Detection FP16 - Device: CPU
FPS > Higher Is Better
a . 70.53 |====================================================================
b . 70.16 |====================================================================
Rodinia 3.1
Test: OpenMP Streamcluster
Seconds < Lower Is Better
a . 36.49 |====================================================================
b . 36.30 |====================================================================
Stress-NG 0.16.04
Test: CPU Stress
Bogo Ops/s > Higher Is Better
a . 70228.20 |=================================================================
b . 70596.28 |=================================================================
OSPRay Studio 0.13
Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 18684 |====================================================================
b . 18587 |====================================================================
SQLite Speedtest 3.30
Timed Time - Size 1,000
Seconds < Lower Is Better
a . 61.39 |====================================================================
b . 61.07 |====================================================================
Blender 3.6
Blend File: Pabellon Barcelona - Compute: CPU-Only
Seconds < Lower Is Better
a . 148.97 |===================================================================
b . 148.20 |===================================================================
Stress-NG 0.16.04
Test: Mixed Scheduler
Bogo Ops/s > Higher Is Better
a . 20266.39 |=================================================================
b . 20370.20 |=================================================================
Apache IoTDB 1.2
Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100
Average Latency < Lower Is Better
a . 138.01 |===================================================================
b . 137.31 |===================================================================
OSPRay 2.12
Benchmark: particle_volume/ao/real_time
Items Per Second > Higher Is Better
a . 10.06 |====================================================================
b . 10.11 |====================================================================
Apache IoTDB 1.2
Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100
point/sec > Higher Is Better
a . 89138128 |=================================================================
b . 88693320 |=================================================================
OSPRay Studio 0.13
Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 90406 |====================================================================
b . 89956 |====================================================================
RocksDB 8.0
Test: Update Random
Op/s > Higher Is Better
a . 510741 |===================================================================
b . 508214 |===================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 16 - Model: AlexNet
images/sec > Higher Is Better
a . 99.65 |====================================================================
b . 99.16 |====================================================================
libxsmm 2-1.17-3645
M N K: 32
GFLOPS/s > Higher Is Better
a . 162.2 |====================================================================
b . 163.0 |====================================================================
Embree 4.3
Binary: Pathtracer - Model: Asian Dragon Obj
Frames Per Second > Higher Is Better
a . 31.53 |====================================================================
b . 31.38 |====================================================================
Apache IoTDB 1.2
Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400
point/sec > Higher Is Better
a . 46465631 |=================================================================
b . 46244208 |=================================================================
OpenVINO 2023.2.dev
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
FPS > Higher Is Better
a . 23339.73 |=================================================================
b . 23230.57 |=================================================================
Apache IoTDB 1.2
Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100
point/sec > Higher Is Better
a . 61710745 |=================================================================
b . 61997626 |=================================================================
NAS Parallel Benchmarks 3.4
Test / Class: LU.C
Total Mop/s > Higher Is Better
a . 71297.96 |=================================================================
b . 71624.54 |=================================================================
Apache IoTDB 1.2
Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100
point/sec > Higher Is Better
a . 29150108 |=================================================================
b . 29282060 |=================================================================
Timed Node.js Compilation 19.8.1
Time To Compile
Seconds < Lower Is Better
a . 247.94 |===================================================================
b . 246.83 |===================================================================
Blender 3.6
Blend File: Fishy Cat - Compute: CPU-Only
Seconds < Lower Is Better
a . 58.35 |====================================================================
b . 58.61 |====================================================================
ClickHouse 22.12.3.5
100M Rows Hits Dataset, Third Run
Queries Per Minute, Geo Mean > Higher Is Better
a . 298.05 |===================================================================
b . 299.37 |===================================================================
Zstd Compression 1.5.4
Compression Level: 19 - Decompression Speed
MB/s > Higher Is Better
a . 1563.8 |===================================================================
b . 1570.7 |===================================================================
Stress-NG 0.16.04
Test: Socket Activity
Bogo Ops/s > Higher Is Better
a . 18841.57 |=================================================================
b . 18923.68 |=================================================================
libxsmm 2-1.17-3645
M N K: 128
GFLOPS/s > Higher Is Better
a . 537.7 |====================================================================
b . 540.0 |====================================================================
Blender 3.6
Blend File: Classroom - Compute: CPU-Only
Seconds < Lower Is Better
a . 124.71 |===================================================================
b . 124.18 |===================================================================
Apache IoTDB 1.2
Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100
point/sec > Higher Is Better
a . 92191074 |=================================================================
b . 91813947 |=================================================================
OpenVINO 2023.2.dev
Model: Weld Porosity Detection FP16 - Device: CPU
FPS > Higher Is Better
a . 679.25 |===================================================================
b . 681.99 |===================================================================
OpenVINO 2023.2.dev
Model: Face Detection Retail FP16 - Device: CPU
FPS > Higher Is Better
a . 2108.59 |==================================================================
b . 2117.07 |==================================================================
Stress-NG 0.16.04
Test: x86_64 RdRand
Bogo Ops/s > Higher Is Better
a . 6949614.18 |===============================================================
b . 6977389.16 |===============================================================
OpenVINO 2023.2.dev
Model: Weld Porosity Detection FP16 - Device: CPU
ms < Lower Is Better
a . 17.65 |====================================================================
b . 17.58 |====================================================================
OpenVINO 2023.2.dev
Model: Machine Translation EN To DE FP16 - Device: CPU
ms < Lower Is Better
a . 140.75 |===================================================================
b . 140.20 |===================================================================
SVT-HEVC 1.5.0
Tuning: 7 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 332.59 |===================================================================
b . 331.31 |===================================================================
nginx 1.23.2
Connections: 1000
Requests Per Second > Higher Is Better
a . 130670.29 |================================================================
b . 130170.09 |================================================================
Embree 4.3
Binary: Pathtracer ISPC - Model: Asian Dragon
Frames Per Second > Higher Is Better
a . 32.79 |====================================================================
b . 32.67 |====================================================================
John The Ripper 2023.03.14
Test: WPA PSK
Real C/S > Higher Is Better
a . 57766 |====================================================================
b . 57561 |====================================================================
OSPRay Studio 0.13
Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 149624 |===================================================================
b . 149102 |===================================================================
OpenVINO 2023.2.dev
Model: Vehicle Detection FP16-INT8 - Device: CPU
ms < Lower Is Better
a . 11.61 |====================================================================
b . 11.57 |====================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 64 - Model: AlexNet
images/sec > Higher Is Better
a . 133.62 |===================================================================
b . 134.08 |===================================================================
OSPRay Studio 0.13
Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 1169 |=====================================================================
b . 1165 |=====================================================================
SVT-VP9 0.3
Tuning: PSNR/SSIM Optimized - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 136.79 |===================================================================
b . 136.35 |===================================================================
C-Blosc 2.11
Test: blosclz noshuffle - Buffer Size: 64MB
MB/s > Higher Is Better
a . 8342.5 |===================================================================
b . 8369.4 |===================================================================
Timed GCC Compilation 13.2
Time To Compile
Seconds < Lower Is Better
a . 906.35 |===================================================================
b . 903.44 |===================================================================
Timed Gem5 Compilation 23.0.1
Time To Compile
Seconds < Lower Is Better
a . 245.48 |===================================================================
b . 244.69 |===================================================================
PostgreSQL 16
Scaling Factor: 100 - Clients: 800 - Mode: Read Only - Average Latency
ms < Lower Is Better
a . 0.629 |====================================================================
b . 0.627 |====================================================================
PostgreSQL 16
Scaling Factor: 100 - Clients: 800 - Mode: Read Only
TPS > Higher Is Better
a . 1272693 |==================================================================
b . 1276741 |==================================================================
OpenVINO 2023.2.dev
Model: Vehicle Detection FP16-INT8 - Device: CPU
FPS > Higher Is Better
a . 1032.69 |==================================================================
b . 1035.97 |==================================================================
OpenVINO 2023.2.dev
Model: Machine Translation EN To DE FP16 - Device: CPU
FPS > Higher Is Better
a . 85.19 |====================================================================
b . 85.46 |====================================================================
OSPRay Studio 0.13
Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 78446 |====================================================================
b . 78690 |====================================================================
x264 2022-02-22
Video Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 231.86 |===================================================================
b . 231.15 |===================================================================
SVT-VP9 0.3
Tuning: Visual Quality Optimized - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 117.63 |===================================================================
b . 117.99 |===================================================================
SPECFEM3D 4.0
Model: Homogeneous Halfspace
Seconds < Lower Is Better
a . 38.88 |====================================================================
b . 38.76 |====================================================================
OpenRadioss 2023.09.15
Model: Ford Taurus 10M
Seconds < Lower Is Better
a . 31662.87 |=================================================================
b . 31568.80 |=================================================================
Kvazaar 2.2
Video Input: Bosphorus 4K - Video Preset: Super Fast
Frames Per Second > Higher Is Better
a . 54.12 |====================================================================
b . 53.96 |====================================================================
Kvazaar 2.2
Video Input: Bosphorus 4K - Video Preset: Very Fast
Frames Per Second > Higher Is Better
a . 40.83 |====================================================================
b . 40.71 |====================================================================
OSPRay Studio 0.13
Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 47568 |====================================================================
b . 47429 |====================================================================
Stress-NG 0.16.04
Test: AVX-512 VNNI
Bogo Ops/s > Higher Is Better
a . 1350185.39 |===============================================================
b . 1354114.89 |===============================================================
OSPRay Studio 0.13
Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 77778 |====================================================================
b . 77553 |====================================================================
Stress-NG 0.16.04
Test: Memory Copying
Bogo Ops/s > Higher Is Better
a . 8525.01 |==================================================================
b . 8549.47 |==================================================================
Kvazaar 2.2
Video Input: Bosphorus 4K - Video Preset: Ultra Fast
Frames Per Second > Higher Is Better
a . 66.67 |====================================================================
b . 66.48 |====================================================================
Zstd Compression 1.5.4
Compression Level: 3 - Decompression Speed
MB/s > Higher Is Better
a . 1624.4 |===================================================================
b . 1619.8 |===================================================================
Stress-NG 0.16.04
Test: Malloc
Bogo Ops/s > Higher Is Better
a . 29708642.78 |==============================================================
b . 29792020.95 |==============================================================
Embree 4.3
Binary: Pathtracer - Model: Crown
Frames Per Second > Higher Is Better
a . 34.89 |====================================================================
b . 34.79 |====================================================================
High Performance Conjugate Gradient 3.1
X Y Z: 104 104 104 - RT: 60
GFLOP/s > Higher Is Better
a . 12.08 |====================================================================
b . 12.04 |====================================================================
John The Ripper 2023.03.14
Test: MD5
Real C/S > Higher Is Better
a . 711238 |===================================================================
b . 713164 |===================================================================
Apache IoTDB 1.2
Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400
Average Latency < Lower Is Better
a . 203.77 |===================================================================
b . 204.31 |===================================================================
NAS Parallel Benchmarks 3.4
Test / Class: IS.D
Total Mop/s > Higher Is Better
a . 1626.47 |==================================================================
b . 1630.76 |==================================================================
nginx 1.23.2
Connections: 500
Requests Per Second > Higher Is Better
a . 132166.25 |================================================================
b . 131826.31 |================================================================
OpenVINO 2023.2.dev
Model: Face Detection Retail FP16-INT8 - Device: CPU
ms < Lower Is Better
a . 3.91 |=====================================================================
b . 3.90 |=====================================================================
OpenVINO 2023.2.dev
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
FPS > Higher Is Better
a . 42663.03 |=================================================================
b . 42770.70 |=================================================================
PostgreSQL 16
Scaling Factor: 100 - Clients: 1000 - Mode: Read Only - Average Latency
ms < Lower Is Better
a . 0.796 |====================================================================
b . 0.794 |====================================================================
OpenVINO 2023.2.dev
Model: Face Detection FP16-INT8 - Device: CPU
FPS > Higher Is Better
a . 15.97 |====================================================================
b . 16.01 |====================================================================
OpenVINO 2023.2.dev
Model: Face Detection Retail FP16-INT8 - Device: CPU
FPS > Higher Is Better
a . 3062.06 |==================================================================
b . 3069.68 |==================================================================
Apache IoTDB 1.2
Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400
point/sec > Higher Is Better
a . 77968089 |=================================================================
b . 77775125 |=================================================================
Stress-NG 0.16.04
Test: Crypto
Bogo Ops/s > Higher Is Better
a . 67835.64 |=================================================================
b . 68002.69 |=================================================================
PostgreSQL 16
Scaling Factor: 100 - Clients: 1000 - Mode: Read Only
TPS > Higher Is Better
a . 1256024 |==================================================================
b . 1259094 |==================================================================
QuantLib 1.32
Configuration: Single-Threaded
MFLOPS > Higher Is Better
a . 3545.3 |===================================================================
b . 3536.7 |===================================================================
Stress-NG 0.16.04
Test: Pthread
Bogo Ops/s > Higher Is Better
a . 100016.81 |================================================================
b . 99776.44 |================================================================
Timed Linux Kernel Compilation 6.1
Build: defconfig
Seconds < Lower Is Better
a . 51.79 |====================================================================
b . 51.67 |====================================================================
Stress-NG 0.16.04
Test: Wide Vector Math
Bogo Ops/s > Higher Is Better
a . 925723.03 |================================================================
b . 923677.84 |================================================================
Stress-NG 0.16.04
Test: Hash
Bogo Ops/s > Higher Is Better
a . 6322695.54 |===============================================================
b . 6336112.65 |===============================================================
RocksDB 8.0
Test: Read Random Write Random
Op/s > Higher Is Better
a . 2145483 |==================================================================
b . 2149948 |==================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 16 - Model: ResNet-50
images/sec > Higher Is Better
a . 19.52 |====================================================================
b . 19.48 |====================================================================
Zstd Compression 1.5.4
Compression Level: 12 - Compression Speed
MB/s > Higher Is Better
a . 248.4 |====================================================================
b . 247.9 |====================================================================
uvg266 0.4.1
Video Input: Bosphorus 4K - Video Preset: Medium
Frames Per Second > Higher Is Better
a . 14.97 |====================================================================
b . 15.00 |====================================================================
OSPRay Studio 0.13
Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 4552 |=====================================================================
b . 4561 |=====================================================================
libxsmm 2-1.17-3645
M N K: 64
GFLOPS/s > Higher Is Better
a . 315.8 |====================================================================
b . 315.2 |====================================================================
OpenVINO 2023.2.dev
Model: Road Segmentation ADAS FP16-INT8 - Device: CPU
ms < Lower Is Better
a . 26.81 |====================================================================
b . 26.86 |====================================================================
OSPRay 2.12
Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time
Items Per Second > Higher Is Better
a . 7.47547 |==================================================================
b . 7.46218 |==================================================================
CloverLeaf 1.3
Input: clover_bm16
Seconds < Lower Is Better
a . 937.87 |===================================================================
b . 936.22 |===================================================================
Blender 3.6
Blend File: Barbershop - Compute: CPU-Only
Seconds < Lower Is Better
a . 474.23 |===================================================================
b . 473.41 |===================================================================
C-Blosc 2.11
Test: blosclz shuffle - Buffer Size: 32MB
MB/s > Higher Is Better
a . 13381.6 |==================================================================
b . 13404.6 |==================================================================
John The Ripper 2023.03.14
Test: Blowfish
Real C/S > Higher Is Better
a . 25277 |====================================================================
b . 25234 |====================================================================
OpenVINO 2023.2.dev
Model: Road Segmentation ADAS FP16-INT8 - Device: CPU
FPS > Higher Is Better
a . 447.22 |===================================================================
b . 446.46 |===================================================================
OpenVINO 2023.2.dev
Model: Face Detection FP16-INT8 - Device: CPU
ms < Lower Is Better
a . 748.82 |===================================================================
b . 747.65 |===================================================================
Stress-NG 0.16.04
Test: Vector Floating Point
Bogo Ops/s > Higher Is Better
a . 66891.41 |=================================================================
b . 66994.74 |=================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 32 - Model: ResNet-50
images/sec > Higher Is Better
a . 19.65 |====================================================================
b . 19.68 |====================================================================
uvg266 0.4.1
Video Input: Bosphorus 4K - Video Preset: Slow
Frames Per Second > Higher Is Better
a . 13.30 |====================================================================
b . 13.32 |====================================================================
OSPRay Studio 0.13
Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 5368 |=====================================================================
b . 5376 |=====================================================================
x264 2022-02-22
Video Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 67.3 |=====================================================================
b . 67.4 |=====================================================================
SVT-HEVC 1.5.0
Tuning: 1 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 6.77 |=====================================================================
b . 6.78 |=====================================================================
Stress-NG 0.16.04
Test: IO_uring
Bogo Ops/s > Higher Is Better
a . 2252032.27 |===============================================================
b . 2255307.55 |===============================================================
Apache Hadoop 3.3.6
Operation: Rename - Threads: 20 - Files: 100000
Ops per sec > Higher Is Better
a . 34566 |====================================================================
b . 34614 |====================================================================
John The Ripper 2023.03.14
Test: bcrypt
Real C/S > Higher Is Better
a . 25292 |====================================================================
b . 25327 |====================================================================
Stress-NG 0.16.04
Test: Cloning
Bogo Ops/s > Higher Is Better
a . 4702.23 |==================================================================
b . 4708.68 |==================================================================
Apache IoTDB 1.2
Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100
Average Latency < Lower Is Better
a . 80.92 |====================================================================
b . 81.03 |====================================================================
OpenSSL 3.1
Algorithm: SHA256
byte/s > Higher Is Better
a . 41653778860 |==============================================================
b . 41597335100 |==============================================================
C-Blosc 2.11
Test: blosclz bitshuffle - Buffer Size: 16MB
MB/s > Higher Is Better
a . 15922.2 |==================================================================
b . 15943.5 |==================================================================
ClickHouse 22.12.3.5
100M Rows Hits Dataset, Second Run
Queries Per Minute, Geo Mean > Higher Is Better
a . 293.77 |===================================================================
b . 293.38 |===================================================================
Apache IoTDB 1.2
Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100
Average Latency < Lower Is Better
a . 30.36 |====================================================================
b . 30.32 |====================================================================
Stress-NG 0.16.04
Test: Zlib
Bogo Ops/s > Higher Is Better
a . 4029.26 |==================================================================
b . 4024.18 |==================================================================
Stress-NG 0.16.04
Test: Matrix 3D Math
Bogo Ops/s > Higher Is Better
a . 3732.12 |==================================================================
b . 3727.55 |==================================================================
OpenVINO 2023.2.dev
Model: Person Detection FP32 - Device: CPU
ms < Lower Is Better
a . 170.23 |===================================================================
b . 170.43 |===================================================================
Monte Carlo Simulations of Ionised Nebulae 2.02.73.3
Input: Gas HII40
Seconds < Lower Is Better
a . 13.27 |====================================================================
b . 13.28 |====================================================================
OSPRay 2.12
Benchmark: particle_volume/scivis/real_time
Items Per Second > Higher Is Better
a . 9.93418 |==================================================================
b . 9.94526 |==================================================================
RocksDB 8.0
Test: Random Read
Op/s > Higher Is Better
a . 145256029 |================================================================
b . 145417830 |================================================================
Stress-NG 0.16.04
Test: Glibc Qsort Data Sorting
Bogo Ops/s > Higher Is Better
a . 737.41 |===================================================================
b . 738.21 |===================================================================
Stress-NG 0.16.04
Test: Vector Shuffle
Bogo Ops/s > Higher Is Better
a . 19219.26 |=================================================================
b . 19239.65 |=================================================================
OpenSSL 3.1
Algorithm: RSA4096
verify/s > Higher Is Better
a . 484191.0 |=================================================================
b . 484700.3 |=================================================================
Stress-NG 0.16.04
Test: Vector Math
Bogo Ops/s > Higher Is Better
a . 210549.07 |================================================================
b . 210762.25 |================================================================
Embree 4.3
Binary: Pathtracer ISPC - Model: Asian Dragon Obj
Frames Per Second > Higher Is Better
a . 28.50 |====================================================================
b . 28.47 |====================================================================
SVT-VP9 0.3
Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 460.56 |===================================================================
b . 461.01 |===================================================================
SVT-HEVC 1.5.0
Tuning: 10 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 584.80 |===================================================================
b . 584.23 |===================================================================
oneDNN 3.3
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 7675.29 |==================================================================
b . 7682.64 |==================================================================
OSPRay Studio 0.13
Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 18334 |====================================================================
b . 18351 |====================================================================
OpenVINO 2023.2.dev
Model: Person Detection FP32 - Device: CPU
FPS > Higher Is Better
a . 70.41 |====================================================================
b . 70.35 |====================================================================
PostgreSQL 16
Scaling Factor: 1 - Clients: 1000 - Mode: Read Only
TPS > Higher Is Better
a . 1447730 |==================================================================
b . 1446506 |==================================================================
Apache IoTDB 1.2
Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400
Average Latency < Lower Is Better
a . 145.44 |===================================================================
b . 145.56 |===================================================================
Stress-NG 0.16.04
Test: Poll
Bogo Ops/s > Higher Is Better
a . 2739015.75 |===============================================================
b . 2741243.13 |===============================================================
OSPRay Studio 0.13
Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 41121 |====================================================================
b . 41088 |====================================================================
NAS Parallel Benchmarks 3.4
Test / Class: SP.C
Total Mop/s > Higher Is Better
a . 24400.17 |=================================================================
b . 24381.54 |=================================================================
SVT-HEVC 1.5.0
Tuning: 1 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 26.80 |====================================================================
b . 26.82 |====================================================================
Stress-NG 0.16.04
Test: Function Call
Bogo Ops/s > Higher Is Better
a . 22601.20 |=================================================================
b . 22617.24 |=================================================================
OpenVINO 2023.2.dev
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
FPS > Higher Is Better
a . 1599.18 |==================================================================
b . 1600.31 |==================================================================
SVT-VP9 0.3
Tuning: Visual Quality Optimized - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 385.00 |===================================================================
b . 385.27 |===================================================================
OpenSSL 3.1
Algorithm: RSA4096
sign/s > Higher Is Better
a . 7413.1 |===================================================================
b . 7418.1 |===================================================================
OpenVINO 2023.2.dev
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
ms < Lower Is Better
a . 15.00 |====================================================================
b . 14.99 |====================================================================
SVT-HEVC 1.5.0
Tuning: 10 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 185.24 |===================================================================
b . 185.36 |===================================================================
Timed LLVM Compilation 16.0
Build System: Ninja
Seconds < Lower Is Better
a . 298.74 |===================================================================
b . 298.92 |===================================================================
Stress-NG 0.16.04
Test: AVL Tree
Bogo Ops/s > Higher Is Better
a . 279.35 |===================================================================
b . 279.52 |===================================================================
OpenSSL 3.1
Algorithm: ChaCha20-Poly1305
byte/s > Higher Is Better
a . 82745285840 |==============================================================
b . 82789783190 |==============================================================
OSPRay 2.12
Benchmark: gravity_spheres_volume/dim_512/ao/real_time
Items Per Second > Higher Is Better
a . 4.69553 |==================================================================
b . 4.69339 |==================================================================
OSPRay Studio 0.13
Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 4632 |=====================================================================
b . 4634 |=====================================================================
Stress-NG 0.16.04
Test: NUMA
Bogo Ops/s > Higher Is Better
a . 380.81 |===================================================================
b . 380.65 |===================================================================
OpenSSL 3.1
Algorithm: AES-256-GCM
byte/s > Higher Is Better
a . 121391741680 |=============================================================
b . 121341157650 |=============================================================
CloverLeaf 1.3
Input: clover_bm64_short
Seconds < Lower Is Better
a . 107.77 |===================================================================
b . 107.74 |===================================================================
OpenSSL 3.1
Algorithm: AES-128-GCM
byte/s > Higher Is Better
a . 132458672400 |=============================================================
b . 132491461970 |=============================================================
Stress-NG 0.16.04
Test: MMAP
Bogo Ops/s > Higher Is Better
a . 297.92 |===================================================================
b . 297.98 |===================================================================
Stress-NG 0.16.04
Test: System V Message Passing
Bogo Ops/s > Higher Is Better
a . 13970811.83 |==============================================================
b . 13973199.87 |==============================================================
TensorFlow 2.12
Device: CPU - Batch Size: 32 - Model: AlexNet
images/sec > Higher Is Better
a . 118.02 |===================================================================
b . 118.04 |===================================================================
uvg266 0.4.1
Video Input: Bosphorus 1080p - Video Preset: Super Fast
Frames Per Second > Higher Is Better
a . 155.73 |===================================================================
b . 155.71 |===================================================================
Stress-NG 0.16.04
Test: MEMFD
Bogo Ops/s > Higher Is Better
a . 397.05 |===================================================================
b . 397.08 |===================================================================
OpenSSL 3.1
Algorithm: ChaCha20
byte/s > Higher Is Better
a . 123425530680 |=============================================================
b . 123417875470 |=============================================================
RocksDB 8.0
Test: Random Fill Sync
Op/s > Higher Is Better
a . 47898 |====================================================================
b . 47898 |====================================================================
OpenVINO 2023.2.dev
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
ms < Lower Is Better
a . 0.55 |=====================================================================
b . 0.55 |=====================================================================
OpenVINO 2023.2.dev
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
ms < Lower Is Better
a . 1.02 |=====================================================================
b . 1.02 |=====================================================================
PostgreSQL 16
Scaling Factor: 1 - Clients: 1000 - Mode: Read Only - Average Latency
ms < Lower Is Better
a . 0.691 |====================================================================
b . 0.691 |====================================================================
OSPRay Studio 0.13
Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 1150 |=====================================================================
b . 1150 |=====================================================================
Intel Open Image Denoise 2.1
Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only
Images / Sec > Higher Is Better
a . 0.51 |=====================================================================
b . 0.51 |=====================================================================
Intel Open Image Denoise 2.1
Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only
Images / Sec > Higher Is Better
a . 1.04 |=====================================================================
b . 1.04 |=====================================================================
Intel Open Image Denoise 2.1
Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only
Images / Sec > Higher Is Better
a . 1.03 |=====================================================================
b . 1.03 |=====================================================================
uvg266 0.4.1
Video Input: Bosphorus 4K - Video Preset: Super Fast
Frames Per Second > Higher Is Better
a . 41.57 |====================================================================
b . 41.57 |====================================================================
Kvazaar 2.2
Video Input: Bosphorus 4K - Video Preset: Medium
Frames Per Second > Higher Is Better
a . 19.86 |====================================================================
b . 19.86 |====================================================================
Zstd Compression 1.5.4
Compression Level: 19 - Compression Speed
MB/s > Higher Is Better
a . 17.3 |=====================================================================
b . 17.3 |=====================================================================
Apache IoTDB 1.2
Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400
Apache IoTDB 1.2
Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400
Apache IoTDB 1.2
Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400
Apache IoTDB 1.2
Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400
Apache IoTDB 1.2
Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400
Apache IoTDB 1.2
Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400
Apache Spark 3.3
Row Count: 10000000 - Partitions: 500
Seconds < Lower Is Better
Apache Spark 3.3
Row Count: 10000000 - Partitions: 100
Seconds < Lower Is Better
Apache Spark 3.3
Row Count: 1000000 - Partitions: 500
Seconds < Lower Is Better
Apache Spark 3.3
Row Count: 1000000 - Partitions: 100
Seconds < Lower Is Better
oneDNN 3.3
Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
oneDNN 3.3
Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
oneDNN 3.3
Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
oneDNN 3.3
Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
oneDNN 3.3
Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
Build2 0.15
Time To Compile
Seconds < Lower Is Better
Timed FFmpeg Compilation 6.0
Time To Compile
Seconds < Lower Is Better
Embree 4.3
Binary: Pathtracer oneAPI SYCL - Model: Asian Dragon Obj
Frames Per Second > Higher Is Better
Embree 4.3
Binary: Pathtracer oneAPI SYCL - Model: Asian Dragon
Frames Per Second > Higher Is Better
Embree 4.3
Binary: Pathtracer oneAPI SYCL - Model: Crown
Frames Per Second > Higher Is Better
dav1d 1.2.1
Video Input: Chimera 1080p 10-bit
FPS > Higher Is Better
dav1d 1.2.1
Video Input: Summer Nature 1080p
FPS > Higher Is Better
dav1d 1.2.1
Video Input: Summer Nature 4K
FPS > Higher Is Better
dav1d 1.2.1
Video Input: Chimera 1080p
FPS > Higher Is Better
High Performance Conjugate Gradient 3.1
X Y Z: 192 192 192 - RT: 1800
GFLOP/s > Higher Is Better
High Performance Conjugate Gradient 3.1
X Y Z: 192 192 192 - RT: 60
GFLOP/s > Higher Is Better