AMD FX-8370 Eight-Core testing with a MSI 970 GAMING (MS-7693) v4.0 (V22.3 BIOS) and AMD Radeon HD 5770 1GB on Ubuntu 20.10 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 2101033-HA-AMDFX837036
AMD FX-8370 2021
AMD FX-8370 Eight-Core testing with a MSI 970 GAMING (MS-7693) v4.0 (V22.3 BIOS) and AMD Radeon HD 5770 1GB on Ubuntu 20.10 via the Phoronix Test Suite.
Vet 1:
Processor: AMD FX-8370 Eight-Core @ 4.00GHz (4 Cores / 8 Threads), Motherboard: MSI 970 GAMING (MS-7693) v4.0 (V22.3 BIOS), Chipset: AMD RD9x0/RX980, Memory: 8GB, Disk: 120GB TOSHIBA TR150, Graphics: AMD Radeon HD 5770 1GB, Audio: Realtek ALC1150, Monitor: G237HL, Network: Qualcomm Atheros Killer E220x
OS: Ubuntu 20.10, Kernel: 5.8.0-33-generic (x86_64), Desktop: GNOME Shell 3.38.1, Display Server: X Server 1.20.9, Display Driver: modesetting 1.20.9, OpenGL: 3.3 Mesa 20.2.1 (LLVM 11.0.0), Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080
Vet 2:
Processor: AMD FX-8370 Eight-Core @ 4.00GHz (4 Cores / 8 Threads), Motherboard: MSI 970 GAMING (MS-7693) v4.0 (V22.3 BIOS), Chipset: AMD RD9x0/RX980, Memory: 8GB, Disk: 120GB TOSHIBA TR150, Graphics: AMD Radeon HD 5770 1GB, Audio: Realtek ALC1150, Monitor: G237HL, Network: Qualcomm Atheros Killer E220x
OS: Ubuntu 20.10, Kernel: 5.8.0-33-generic (x86_64), Desktop: GNOME Shell 3.38.1, Display Server: X Server 1.20.9, Display Driver: modesetting 1.20.9, OpenGL: 3.3 Mesa 20.2.1 (LLVM 11.0.0), Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080
Redis 6.0.9
Test: LPOP
Requests Per Second > Higher Is Better
Vet 1 . 1483179.58 |===========================================================
Vet 2 . 823801.38 |=================================
Redis 6.0.9
Test: GET
Requests Per Second > Higher Is Better
Vet 1 . 1420635.00 |===========================================================
Vet 2 . 1291856.21 |======================================================
CLOMP 1.2
Static OMP Speedup
Speedup > Higher Is Better
Vet 1 . 2.8 |==============================================================
Vet 2 . 3.0 |==================================================================
LuxCoreRender 2.3
Scene: DLSC
M samples/sec > Higher Is Better
Vet 1 . 0.49 |=============================================================
Vet 2 . 0.52 |=================================================================
Basis Universal 1.12
Settings: UASTC Level 3
Seconds < Lower Is Better
Vet 1 . 178.49 |===============================================================
Vet 2 . 169.52 |============================================================
Stress-NG 0.11.07
Test: Context Switching
Bogo Ops/s > Higher Is Better
Vet 1 . 958188.67 |============================================================
Vet 2 . 917908.08 |=========================================================
simdjson 0.7.1
Throughput Test: Kostya
GB/s > Higher Is Better
Vet 1 . 0.29 |===============================================================
Vet 2 . 0.30 |=================================================================
oneDNN 2.0
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
ms < Lower Is Better
Vet 1 . 48.15 |==============================================================
Vet 2 . 49.78 |================================================================
oneDNN 2.0
Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
Vet 1 . 5.74220 |============================================================
Vet 2 . 5.92877 |==============================================================
Node.js V8 Web Tooling Benchmark
runs/s > Higher Is Better
Vet 1 . 5.31 |=================================================================
Vet 2 . 5.15 |===============================================================
NCNN 20201218
Target: CPU - Model: blazeface
ms < Lower Is Better
Vet 1 . 4.55 |=================================================================
Vet 2 . 4.43 |===============================================================
Redis 6.0.9
Test: SET
Requests Per Second > Higher Is Better
Vet 1 . 1077335.42 |=========================================================
Vet 2 . 1106164.79 |===========================================================
Darktable 3.2.1
Test: Boat - Acceleration: CPU-only
Seconds < Lower Is Better
Vet 1 . 35.37 |==============================================================
Vet 2 . 36.31 |================================================================
NCNN 20201218
Target: CPU - Model: shufflenet-v2
ms < Lower Is Better
Vet 1 . 18.80 |================================================================
Vet 2 . 18.33 |==============================================================
InfluxDB 1.8.2
Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000
val/sec > Higher Is Better
Vet 1 . 594226.4 |=============================================================
Vet 2 . 579620.2 |============================================================
oneDNN 2.0
Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU
ms < Lower Is Better
Vet 1 . 24.07 |==============================================================
Vet 2 . 24.68 |================================================================
Darktable 3.2.1
Test: Server Rack - Acceleration: CPU-only
Seconds < Lower Is Better
Vet 1 . 0.491 |==============================================================
Vet 2 . 0.503 |================================================================
Stockfish 12
Total Time
Nodes Per Second > Higher Is Better
Vet 1 . 6971484 |==============================================================
Vet 2 . 6814594 |=============================================================
WebP Image Encode 1.1
Encode Settings: Quality 100, Lossless
Encode Time - Seconds < Lower Is Better
Vet 1 . 30.65 |================================================================
Vet 2 . 30.03 |===============================================================
LuxCoreRender 2.3
Scene: Rainbow Colors and Prism
M samples/sec > Higher Is Better
Vet 1 . 0.52 |=================================================================
Vet 2 . 0.51 |================================================================
InfluxDB 1.8.2
Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000
val/sec > Higher Is Better
Vet 1 . 721348.2 |=============================================================
Vet 2 . 707886.5 |============================================================
oneDNN 2.0
Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
Vet 1 . 38.91 |================================================================
Vet 2 . 38.23 |===============================================================
Mobile Neural Network 2020-09-17
Model: inception-v3
ms < Lower Is Better
Vet 1 . 1344.89 |==============================================================
Vet 2 . 1325.20 |=============================================================
Stress-NG 0.11.07
Test: MEMFD
Bogo Ops/s > Higher Is Better
Vet 1 . 127.99 |===============================================================
Vet 2 . 126.33 |==============================================================
Redis 6.0.9
Test: LPUSH
Requests Per Second > Higher Is Better
Vet 1 . 806438.96 |============================================================
Vet 2 . 796182.64 |===========================================================
LeelaChessZero 0.26
Backend: BLAS
Nodes Per Second > Higher Is Better
Vet 1 . 160 |==================================================================
Vet 2 . 158 |=================================================================
Warsow 2.5 Beta
Resolution: 1920 x 1080
Frames Per Second > Higher Is Better
Vet 1 . 143.7 |===============================================================
Vet 2 . 145.5 |================================================================
Mobile Neural Network 2020-09-17
Model: SqueezeNetV1.0
ms < Lower Is Better
Vet 1 . 159.81 |===============================================================
Vet 2 . 157.85 |==============================================================
OpenVKL 0.9
Benchmark: vklBenchmark
Items / Sec > Higher Is Better
Vet 1 . 32.27 |===============================================================
Vet 2 . 32.67 |================================================================
libavif avifenc 0.7.3
Encoder Speed: 2
Seconds < Lower Is Better
Vet 1 . 168.71 |===============================================================
Vet 2 . 166.70 |==============================================================
Timed Eigen Compilation 3.3.9
Time To Compile
Seconds < Lower Is Better
Vet 1 . 134.66 |==============================================================
Vet 2 . 136.25 |===============================================================
PHPBench 0.8.1
PHP Benchmark Suite
Score > Higher Is Better
Vet 1 . 415846 |==============================================================
Vet 2 . 420714 |===============================================================
Cryptsetup
Twofish-XTS 256b Decryption
MiB/s > Higher Is Better
Vet 1 . 242.7 |===============================================================
Vet 2 . 245.5 |================================================================
LZ4 Compression 1.9.3
Compression Level: 1 - Decompression Speed
MB/s > Higher Is Better
Vet 1 . 3697.1 |===============================================================
Vet 2 . 3657.2 |==============================================================
x265 3.4
Video Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
Vet 1 . 19.52 |================================================================
Vet 2 . 19.32 |===============================================================
IndigoBench 4.4
Acceleration: CPU - Scene: Bedroom
M samples/s > Higher Is Better
Vet 1 . 0.490 |================================================================
Vet 2 . 0.485 |===============================================================
Kvazaar 2.0
Video Input: Bosphorus 4K - Video Preset: Ultra Fast
Frames Per Second > Higher Is Better
Vet 1 . 2.95 |================================================================
Vet 2 . 2.98 |=================================================================
NCNN 20201218
Target: CPU-v2-v2 - Model: mobilenet-v2
ms < Lower Is Better
Vet 1 . 25.05 |================================================================
Vet 2 . 24.80 |===============================================================
oneDNN 2.0
Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU
ms < Lower Is Better
Vet 1 . 32.62 |===============================================================
Vet 2 . 32.93 |================================================================
Stress-NG 0.11.07
Test: Malloc
Bogo Ops/s > Higher Is Better
Vet 1 . 22154552.21 |==========================================================
Vet 2 . 21949359.53 |=========================================================
Timed FFmpeg Compilation 4.2.2
Time To Compile
Seconds < Lower Is Better
Vet 1 . 156.34 |==============================================================
Vet 2 . 157.77 |===============================================================
Cryptsetup
AES-XTS 256b Encryption
MiB/s > Higher Is Better
Vet 1 . 1081.7 |==============================================================
Vet 2 . 1091.1 |===============================================================
LZ4 Compression 1.9.3
Compression Level: 9 - Decompression Speed
MB/s > Higher Is Better
Vet 1 . 3653.9 |===============================================================
Vet 2 . 3622.7 |==============================================================
LZ4 Compression 1.9.3
Compression Level: 3 - Decompression Speed
MB/s > Higher Is Better
Vet 1 . 3656.0 |===============================================================
Vet 2 . 3625.3 |==============================================================
Stress-NG 0.11.07
Test: Glibc Qsort Data Sorting
Bogo Ops/s > Higher Is Better
Vet 1 . 55.09 |===============================================================
Vet 2 . 55.53 |================================================================
Cryptsetup
Twofish-XTS 512b Encryption
MiB/s > Higher Is Better
Vet 1 . 247.2 |================================================================
Vet 2 . 245.3 |================================================================
LZ4 Compression 1.9.3
Compression Level: 1 - Compression Speed
MB/s > Higher Is Better
Vet 1 . 3387.29 |==============================================================
Vet 2 . 3362.32 |==============================================================
Mobile Neural Network 2020-09-17
Model: MobileNetV2_224
ms < Lower Is Better
Vet 1 . 84.92 |================================================================
Vet 2 . 85.55 |================================================================
GIMP 2.10.18
Test: unsharp-mask
Seconds < Lower Is Better
Vet 1 . 28.99 |================================================================
Vet 2 . 29.17 |================================================================
NCNN 20201218
Target: CPU - Model: regnety_400m
ms < Lower Is Better
Vet 1 . 40.24 |================================================================
Vet 2 . 39.99 |================================================================
Cryptsetup
Twofish-XTS 512b Decryption
MiB/s > Higher Is Better
Vet 1 . 247.9 |================================================================
Vet 2 . 246.4 |================================================================
asmFish 2018-07-23
1024 Hash Memory, 26 Depth
Nodes/second > Higher Is Better
Vet 1 . 10590695 |=============================================================
Vet 2 . 10527008 |=============================================================
Zstd Compression 1.4.5
Compression Level: 19
MB/s > Higher Is Better
Vet 1 . 16.9 |=================================================================
Vet 2 . 16.8 |=================================================================
Cryptsetup
AES-XTS 512b Decryption
MiB/s > Higher Is Better
Vet 1 . 944.8 |================================================================
Vet 2 . 950.1 |================================================================
NCNN 20201218
Target: CPU - Model: alexnet
ms < Lower Is Better
Vet 1 . 49.72 |================================================================
Vet 2 . 49.99 |================================================================
WebP Image Encode 1.1
Encode Settings: Quality 100
Encode Time - Seconds < Lower Is Better
Vet 1 . 3.573 |================================================================
Vet 2 . 3.554 |================================================================
Redis 6.0.9
Test: SADD
Requests Per Second > Higher Is Better
Vet 1 . 1212043.04 |===========================================================
Vet 2 . 1205601.54 |===========================================================
NCNN 20201218
Target: CPU - Model: mobilenet
ms < Lower Is Better
Vet 1 . 98.29 |================================================================
Vet 2 . 97.78 |================================================================
GIMP 2.10.18
Test: auto-levels
Seconds < Lower Is Better
Vet 1 . 25.47 |================================================================
Vet 2 . 25.34 |================================================================
RNNoise 2020-06-28
Seconds < Lower Is Better
Vet 1 . 47.77 |================================================================
Vet 2 . 47.54 |================================================================
WebP Image Encode 1.1
Encode Settings: Default
Encode Time - Seconds < Lower Is Better
Vet 1 . 2.444 |================================================================
Vet 2 . 2.433 |================================================================
Stress-NG 0.11.07
Test: CPU Stress
Bogo Ops/s > Higher Is Better
Vet 1 . 1823.75 |==============================================================
Vet 2 . 1831.98 |==============================================================
Stress-NG 0.11.07
Test: Forking
Bogo Ops/s > Higher Is Better
Vet 1 . 18452.92 |=============================================================
Vet 2 . 18535.23 |=============================================================
NCNN 20201218
Target: CPU-v3-v3 - Model: mobilenet-v3
ms < Lower Is Better
Vet 1 . 23.00 |================================================================
Vet 2 . 23.10 |================================================================
oneDNN 2.0
Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
Vet 1 . 21.63 |================================================================
Vet 2 . 21.53 |================================================================
Stress-NG 0.11.07
Test: Crypto
Bogo Ops/s > Higher Is Better
Vet 1 . 872.89 |===============================================================
Vet 2 . 869.13 |===============================================================
GIMP 2.10.18
Test: rotate
Seconds < Lower Is Better
Vet 1 . 24.24 |================================================================
Vet 2 . 24.14 |================================================================
Stress-NG 0.11.07
Test: Socket Activity
Bogo Ops/s > Higher Is Better
Vet 1 . 1776.16 |==============================================================
Vet 2 . 1783.24 |==============================================================
Darktable 3.2.1
Test: Masskrug - Acceleration: CPU-only
Seconds < Lower Is Better
Vet 1 . 28.64 |================================================================
Vet 2 . 28.75 |================================================================
Cryptsetup
Serpent-XTS 256b Decryption
MiB/s > Higher Is Better
Vet 1 . 320.2 |================================================================
Vet 2 . 319.0 |================================================================
libavif avifenc 0.7.3
Encoder Speed: 8
Seconds < Lower Is Better
Vet 1 . 12.86 |================================================================
Vet 2 . 12.81 |================================================================
Cryptsetup
AES-XTS 256b Decryption
MiB/s > Higher Is Better
Vet 1 . 1093.6 |===============================================================
Vet 2 . 1089.7 |===============================================================
Cryptsetup
Serpent-XTS 256b Encryption
MiB/s > Higher Is Better
Vet 1 . 312.0 |================================================================
Vet 2 . 310.9 |================================================================
Stress-NG 0.11.07
Test: Atomic
Bogo Ops/s > Higher Is Better
Vet 1 . 54519.87 |=============================================================
Vet 2 . 54711.61 |=============================================================
YafaRay 3.4.1
Total Time For Sample Scene
Seconds < Lower Is Better
Vet 1 . 439.47 |===============================================================
Vet 2 . 437.99 |===============================================================
WebP Image Encode 1.1
Encode Settings: Quality 100, Lossless, Highest Compression
Encode Time - Seconds < Lower Is Better
Vet 1 . 66.56 |================================================================
Vet 2 . 66.78 |================================================================
libavif avifenc 0.7.3
Encoder Speed: 10
Seconds < Lower Is Better
Vet 1 . 11.90 |================================================================
Vet 2 . 11.86 |================================================================
rav1e 0.4 Alpha
Speed: 5
Frames Per Second > Higher Is Better
Vet 1 . 0.322 |================================================================
Vet 2 . 0.321 |================================================================
Caffe 2020-02-13
Model: AlexNet - Acceleration: CPU - Iterations: 100
Milli-Seconds < Lower Is Better
Vet 1 . 71021 |================================================================
Vet 2 . 70801 |================================================================
DeepSpeech 0.6
Acceleration: CPU
Seconds < Lower Is Better
Vet 1 . 287.01 |===============================================================
Vet 2 . 286.13 |===============================================================
Mobile Neural Network 2020-09-17
Model: resnet-v2-50
ms < Lower Is Better
Vet 1 . 1131.68 |==============================================================
Vet 2 . 1128.31 |==============================================================
Stress-NG 0.11.07
Test: System V Message Passing
Bogo Ops/s > Higher Is Better
Vet 1 . 2212153.79 |===========================================================
Vet 2 . 2206047.98 |===========================================================
oneDNN 2.0
Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU
ms < Lower Is Better
Vet 1 . 113.86 |===============================================================
Vet 2 . 114.16 |===============================================================
LAMMPS Molecular Dynamics Simulator 29Oct2020
Model: Rhodopsin Protein
ns/day > Higher Is Better
Vet 1 . 1.514 |================================================================
Vet 2 . 1.510 |================================================================
x264 2019-12-17
H.264 Video Encoding
Frames Per Second > Higher Is Better
Vet 1 . 30.29 |================================================================
Vet 2 . 30.21 |================================================================
oneDNN 2.0
Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
Vet 1 . 10.22 |================================================================
Vet 2 . 10.20 |================================================================
NCNN 20201218
Target: CPU - Model: yolov4-tiny
ms < Lower Is Better
Vet 1 . 201.70 |===============================================================
Vet 2 . 202.21 |===============================================================
Cryptsetup
Serpent-XTS 512b Decryption
MiB/s > Higher Is Better
Vet 1 . 316.4 |================================================================
Vet 2 . 317.2 |================================================================
Cryptsetup
PBKDF2-whirlpool
Iterations Per Second > Higher Is Better
Vet 1 . 395398 |===============================================================
Vet 2 . 394414 |===============================================================
IndigoBench 4.4
Acceleration: CPU - Scene: Supercar
M samples/s > Higher Is Better
Vet 1 . 1.210 |================================================================
Vet 2 . 1.207 |================================================================
Coremark 1.0
CoreMark Size 666 - Iterations Per Second
Iterations/Sec > Higher Is Better
Vet 1 . 122656.51 |============================================================
Vet 2 . 122356.31 |============================================================
Stress-NG 0.11.07
Test: Glibc C String Functions
Bogo Ops/s > Higher Is Better
Vet 1 . 267246.20 |============================================================
Vet 2 . 266600.95 |============================================================
rav1e 0.4 Alpha
Speed: 6
Frames Per Second > Higher Is Better
Vet 1 . 0.416 |================================================================
Vet 2 . 0.415 |================================================================
Caffe 2020-02-13
Model: GoogleNet - Acceleration: CPU - Iterations: 100
Milli-Seconds < Lower Is Better
Vet 1 . 177755 |===============================================================
Vet 2 . 178137 |===============================================================
Timed Linux Kernel Compilation 5.4
Time To Compile
Seconds < Lower Is Better
Vet 1 . 252.49 |===============================================================
Vet 2 . 251.96 |===============================================================
Stress-NG 0.11.07
Test: SENDFILE
Bogo Ops/s > Higher Is Better
Vet 1 . 50924.75 |=============================================================
Vet 2 . 50818.29 |=============================================================
Basis Universal 1.12
Settings: UASTC Level 2 + RDO Post-Processing
Seconds < Lower Is Better
Vet 1 . 1121.06 |==============================================================
Vet 2 . 1118.93 |==============================================================
Basis Universal 1.12
Settings: UASTC Level 2
Seconds < Lower Is Better
Vet 1 . 88.18 |================================================================
Vet 2 . 88.01 |================================================================
GIMP 2.10.18
Test: resize
Seconds < Lower Is Better
Vet 1 . 18.96 |================================================================
Vet 2 . 18.99 |================================================================
Opus Codec Encoding 1.3.1
WAV To Opus Encode
Seconds < Lower Is Better
Vet 1 . 15.71 |================================================================
Vet 2 . 15.74 |================================================================
7-Zip Compression 16.02
Compress Speed Test
MIPS > Higher Is Better
Vet 1 . 21231 |================================================================
Vet 2 . 21195 |================================================================
LZ4 Compression 1.9.3
Compression Level: 9 - Compression Speed
MB/s > Higher Is Better
Vet 1 . 29.81 |================================================================
Vet 2 . 29.86 |================================================================
Stress-NG 0.11.07
Test: Memory Copying
Bogo Ops/s > Higher Is Better
Vet 1 . 1002.06 |==============================================================
Vet 2 . 1003.73 |==============================================================
Hugin
Panorama Photo Assistant + Stitching Time
Seconds < Lower Is Better
Vet 1 . 105.81 |===============================================================
Vet 2 . 105.65 |===============================================================
SQLite Speedtest 3.30
Timed Time - Size 1,000
Seconds < Lower Is Better
Vet 1 . 122.13 |===============================================================
Vet 2 . 122.30 |===============================================================
Basis Universal 1.12
Settings: ETC1S
Seconds < Lower Is Better
Vet 1 . 104.18 |===============================================================
Vet 2 . 104.33 |===============================================================
Stress-NG 0.11.07
Test: NUMA
Bogo Ops/s > Higher Is Better
Vet 1 . 84.19 |================================================================
Vet 2 . 84.08 |================================================================
Timed GDB GNU Debugger Compilation 9.1
Time To Compile
Seconds < Lower Is Better
Vet 1 . 231.26 |===============================================================
Vet 2 . 230.97 |===============================================================
NCNN 20201218
Target: CPU - Model: efficientnet-b0
ms < Lower Is Better
Vet 1 . 39.88 |================================================================
Vet 2 . 39.93 |================================================================
FLAC Audio Encoding 1.3.2
WAV To FLAC
Seconds < Lower Is Better
Vet 1 . 16.93 |================================================================
Vet 2 . 16.91 |================================================================
oneDNN 2.0
Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
Vet 1 . 44728.9 |==============================================================
Vet 2 . 44784.2 |==============================================================
Basis Universal 1.12
Settings: UASTC Level 0
Seconds < Lower Is Better
Vet 1 . 14.90 |================================================================
Vet 2 . 14.89 |================================================================
librsvg
Operation: SVG Files To PNG
Seconds < Lower Is Better
Vet 1 . 43.32 |================================================================
Vet 2 . 43.38 |================================================================
libavif avifenc 0.7.3
Encoder Speed: 0
Seconds < Lower Is Better
Vet 1 . 275.52 |===============================================================
Vet 2 . 275.21 |===============================================================
Cryptsetup
PBKDF2-sha512
Iterations Per Second > Higher Is Better
Vet 1 . 1273595 |==============================================================
Vet 2 . 1272166 |==============================================================
OCRMyPDF 10.3.1+dfsg
Processing 60 Page PDF Document
Seconds < Lower Is Better
Vet 1 . 62.37 |================================================================
Vet 2 . 62.44 |================================================================
rays1bench 2020-01-09
Large Scene
mrays/s > Higher Is Better
Vet 1 . 9.06 |=================================================================
Vet 2 . 9.05 |=================================================================
Timed Apache Compilation 2.4.41
Time To Compile
Seconds < Lower Is Better
Vet 1 . 48.37 |================================================================
Vet 2 . 48.32 |================================================================
oneDNN 2.0
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
ms < Lower Is Better
Vet 1 . 44739.8 |==============================================================
Vet 2 . 44788.0 |==============================================================
oneDNN 2.0
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU
ms < Lower Is Better
Vet 1 . 13.59 |================================================================
Vet 2 . 13.60 |================================================================
WebP Image Encode 1.1
Encode Settings: Quality 100, Highest Compression
Encode Time - Seconds < Lower Is Better
Vet 1 . 11.41 |================================================================
Vet 2 . 11.40 |================================================================
oneDNN 2.0
Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU
ms < Lower Is Better
Vet 1 . 71.20 |================================================================
Vet 2 . 71.13 |================================================================
TensorFlow Lite 2020-08-23
Model: SqueezeNet
Microseconds < Lower Is Better
Vet 1 . 512325 |===============================================================
Vet 2 . 512833 |===============================================================
Cryptsetup
Serpent-XTS 512b Encryption
MiB/s > Higher Is Better
Vet 1 . 315.2 |================================================================
Vet 2 . 314.9 |================================================================
oneDNN 2.0
Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
Vet 1 . 22769.0 |==============================================================
Vet 2 . 22789.7 |==============================================================
oneDNN 2.0
Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
Vet 1 . 44745.0 |==============================================================
Vet 2 . 44784.5 |==============================================================
LAME MP3 Encoding 3.100
WAV To MP3
Seconds < Lower Is Better
Vet 1 . 13.63 |================================================================
Vet 2 . 13.62 |================================================================
Stress-NG 0.11.07
Test: Matrix Math
Bogo Ops/s > Higher Is Better
Vet 1 . 15073.34 |=============================================================
Vet 2 . 15086.29 |=============================================================
rav1e 0.4 Alpha
Speed: 10
Frames Per Second > Higher Is Better
Vet 1 . 1.170 |================================================================
Vet 2 . 1.171 |================================================================
Kvazaar 2.0
Video Input: Bosphorus 1080p - Video Preset: Ultra Fast
Frames Per Second > Higher Is Better
Vet 1 . 11.84 |================================================================
Vet 2 . 11.85 |================================================================
Cryptsetup
Twofish-XTS 256b Encryption
MiB/s > Higher Is Better
Vet 1 . 244.1 |================================================================
Vet 2 . 243.9 |================================================================
NCNN 20201218
Target: CPU - Model: mnasnet
ms < Lower Is Better
Vet 1 . 24.69 |================================================================
Vet 2 . 24.71 |================================================================
Timed MPlayer Compilation 1.4
Time To Compile
Seconds < Lower Is Better
Vet 1 . 113.04 |===============================================================
Vet 2 . 112.95 |===============================================================
Stress-NG 0.11.07
Test: Vector Math
Bogo Ops/s > Higher Is Better
Vet 1 . 23898.11 |=============================================================
Vet 2 . 23915.82 |=============================================================
oneDNN 2.0
Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
ms < Lower Is Better
Vet 1 . 22758.6 |==============================================================
Vet 2 . 22775.3 |==============================================================
TensorFlow Lite 2020-08-23
Model: Mobilenet Float
Microseconds < Lower Is Better
Vet 1 . 351171 |===============================================================
Vet 2 . 351424 |===============================================================
oneDNN 2.0
Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
Vet 1 . 22771.8 |==============================================================
Vet 2 . 22787.9 |==============================================================
oneDNN 2.0
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
Vet 1 . 11.75 |================================================================
Vet 2 . 11.76 |================================================================
TensorFlow Lite 2020-08-23
Model: Inception V4
Microseconds < Lower Is Better
Vet 1 . 7343657 |==============================================================
Vet 2 . 7348723 |==============================================================
Mobile Neural Network 2020-09-17
Model: mobilenet-v1-1.0
ms < Lower Is Better
Vet 1 . 169.00 |===============================================================
Vet 2 . 168.89 |===============================================================
Numpy Benchmark
Score > Higher Is Better
Vet 1 . 150.23 |===============================================================
Vet 2 . 150.33 |===============================================================
Crafty 25.2
Elapsed Time
Nodes Per Second > Higher Is Better
Vet 1 . 5195271 |==============================================================
Vet 2 . 5198696 |==============================================================
LZ4 Compression 1.9.3
Compression Level: 3 - Compression Speed
MB/s > Higher Is Better
Vet 1 . 30.96 |================================================================
Vet 2 . 30.94 |================================================================
Cryptsetup
AES-XTS 512b Encryption
MiB/s > Higher Is Better
Vet 1 . 943.8 |================================================================
Vet 2 . 944.4 |================================================================
John The Ripper 1.9.0-jumbo-1
Test: MD5
Real C/S > Higher Is Better
Vet 1 . 256221 |===============================================================
Vet 2 . 256381 |===============================================================
Build2 0.13
Time To Compile
Seconds < Lower Is Better
Vet 1 . 392.48 |===============================================================
Vet 2 . 392.28 |===============================================================
NCNN 20201218
Target: CPU - Model: resnet50
ms < Lower Is Better
Vet 1 . 211.76 |===============================================================
Vet 2 . 211.65 |===============================================================
TensorFlow Lite 2020-08-23
Model: NASNet Mobile
Microseconds < Lower Is Better
Vet 1 . 383504 |===============================================================
Vet 2 . 383701 |===============================================================
NCNN 20201218
Target: CPU - Model: googlenet
ms < Lower Is Better
Vet 1 . 99.74 |================================================================
Vet 2 . 99.69 |================================================================
NCNN 20201218
Target: CPU - Model: squeezenet_ssd
ms < Lower Is Better
Vet 1 . 103.79 |===============================================================
Vet 2 . 103.84 |===============================================================
Stress-NG 0.11.07
Test: Semaphores
Bogo Ops/s > Higher Is Better
Vet 1 . 505610.19 |============================================================
Vet 2 . 505851.94 |============================================================
TensorFlow Lite 2020-08-23
Model: Mobilenet Quant
Microseconds < Lower Is Better
Vet 1 . 357144 |===============================================================
Vet 2 . 357312 |===============================================================
TNN 0.2.3
Target: CPU - Model: SqueezeNet v1.1
ms < Lower Is Better
Vet 1 . 513.82 |===============================================================
Vet 2 . 513.59 |===============================================================
NCNN 20201218
Target: CPU - Model: resnet18
ms < Lower Is Better
Vet 1 . 91.23 |================================================================
Vet 2 . 91.27 |================================================================
Monkey Audio Encoding 3.99.6
WAV To APE
Seconds < Lower Is Better
Vet 1 . 26.40 |================================================================
Vet 2 . 26.39 |================================================================
WavPack Audio Encoding 5.3
WAV To WavPack
Seconds < Lower Is Better
Vet 1 . 22.97 |================================================================
Vet 2 . 22.97 |================================================================
TNN 0.2.3
Target: CPU - Model: MobileNet v2
ms < Lower Is Better
Vet 1 . 528.35 |===============================================================
Vet 2 . 528.55 |===============================================================
oneDNN 2.0
Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
Vet 1 . 22.21 |================================================================
Vet 2 . 22.20 |================================================================
John The Ripper 1.9.0-jumbo-1
Test: Blowfish
Real C/S > Higher Is Better
Vet 1 . 6411 |=================================================================
Vet 2 . 6409 |=================================================================
Timed HMMer Search 3.3.1
Pfam Database Search
Seconds < Lower Is Better
Vet 1 . 191.72 |===============================================================
Vet 2 . 191.67 |===============================================================
RawTherapee
Total Benchmark Time
Seconds < Lower Is Better
Vet 1 . 138.97 |===============================================================
Vet 2 . 139.01 |===============================================================
NCNN 20201218
Target: CPU - Model: vgg16
ms < Lower Is Better
Vet 1 . 767.38 |===============================================================
Vet 2 . 767.18 |===============================================================
TensorFlow Lite 2020-08-23
Model: Inception ResNet V2
Microseconds < Lower Is Better
Vet 1 . 6618533 |==============================================================
Vet 2 . 6619900 |==============================================================
Darktable 3.2.1
Test: Server Room - Acceleration: CPU-only
Seconds < Lower Is Better
Vet 1 . 26.73 |================================================================
Vet 2 . 26.73 |================================================================
Zstd Compression 1.4.5
Compression Level: 3
MB/s > Higher Is Better
Vet 1 . 1745.5 |===============================================================
Vet 2 . 1745.6 |===============================================================
GROMACS 2020.3
Water Benchmark
Ns Per Day > Higher Is Better
Vet 1 . 0.074 |================================================================
Vet 2 . 0.074 |================================================================
Intel Open Image Denoise 1.2.0
Scene: Memorial
Images / Sec > Higher Is Better
Vet 1 . 0.87 |=================================================================
Vet 2 . 0.87 |=================================================================
x265 3.4
Video Input: Bosphorus 4K
Frames Per Second > Higher Is Better
Vet 1 . 4.55 |=================================================================
Vet 2 . 4.55 |=================================================================
rav1e 0.4 Alpha
Speed: 1
Frames Per Second > Higher Is Better
Vet 1 . 0.115 |================================================================
Vet 2 . 0.115 |================================================================
Kvazaar 2.0
Video Input: Bosphorus 1080p - Video Preset: Very Fast
Frames Per Second > Higher Is Better
Vet 1 . 5.55 |=================================================================
Vet 2 . 5.55 |=================================================================
Kvazaar 2.0
Video Input: Bosphorus 4K - Video Preset: Very Fast
Frames Per Second > Higher Is Better
Vet 1 . 1.35 |=================================================================
Vet 2 . 1.35 |=================================================================
Kvazaar 2.0
Video Input: Bosphorus 1080p - Video Preset: Medium
Frames Per Second > Higher Is Better
Vet 1 . 2.09 |=================================================================
Vet 2 . 2.09 |=================================================================
Kvazaar 2.0
Video Input: Bosphorus 4K - Video Preset: Medium
Frames Per Second > Higher Is Better
Vet 1 . 0.45 |=================================================================
Vet 2 . 0.45 |=================================================================
LibRaw 0.20
Post-Processing Benchmark
Mpix/sec > Higher Is Better
Vet 1 . 17.99 |================================================================
Vet 2 . 17.99 |================================================================
simdjson 0.7.1
Throughput Test: DistinctUserID
GB/s > Higher Is Better
Vet 1 . 0.38 |=================================================================
Vet 2 . 0.38 |=================================================================
simdjson 0.7.1
Throughput Test: PartialTweets
GB/s > Higher Is Better
Vet 1 . 0.37 |=================================================================
Vet 2 . 0.37 |=================================================================
simdjson 0.7.1
Throughput Test: LargeRandom
GB/s > Higher Is Better
Vet 1 . 0.24 |=================================================================
Vet 2 . 0.24 |=================================================================
LeelaChessZero 0.26
Backend: Eigen
Nodes Per Second > Higher Is Better
Vet 1 . 138 |==================================================================
Vet 2 . 138 |==================================================================
GLmark2 2020.04
Resolution: 1920 x 1080
Score > Higher Is Better
Vet 1 . 1322 |=================================================================
Vet 2 . 1322 |=================================================================
Unpacking Firefox 84.0
Extracting: firefox-84.0.source.tar.xz
Seconds < Lower Is Better
Vet 1 . 32.99 |=======================================================
Vet 2 . 38.11 |================================================================
Stress-NG 0.11.07
Test: CPU Cache
Bogo Ops/s > Higher Is Better
Vet 1 . 14.76 |==============================================================
Vet 2 . 15.31 |================================================================
Stress-NG 0.11.07
Test: MMAP
Bogo Ops/s > Higher Is Better
Vet 1 . 12.10 |================================================================
Vet 2 . 9.86 |====================================================
eSpeak-NG Speech Engine 20200907
Text-To-Speech Synthesis
Seconds < Lower Is Better
Vet 1 . 57.49 |=============================================================
Vet 2 . 60.33 |================================================================