AMD EPYC 9384X 32-Core testing with a AMD Titanite_4G (RTI1007B BIOS) and ASPEED on Ubuntu 22.04 via the Phoronix Test Suite.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 2308296-NE-BERGAMOEX78
bergamo extra
AMD EPYC 9384X 32-Core testing with a AMD Titanite_4G (RTI1007B BIOS) and ASPEED on Ubuntu 22.04 via the Phoronix Test Suite.
E:
Processor: AMD EPYC 9384X 32-Core @ 3.91GHz (32 Cores / 64 Threads), Motherboard: AMD Titanite_4G (RTI1007B BIOS), Chipset: AMD Device 14a4, Memory: 768GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: ASPEED, Network: Broadcom NetXtreme BCM5720 PCIe
OS: Ubuntu 22.04, Kernel: 5.15.0-47-generic (x86_64), Desktop: GNOME Shell 42.4, Display Server: X Server 1.21.1.3, Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1024x768
F:
Processor: AMD EPYC 9384X 32-Core @ 3.91GHz (32 Cores / 64 Threads), Motherboard: AMD Titanite_4G (RTI1007B BIOS), Chipset: AMD Device 14a4, Memory: 768GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: ASPEED, Network: Broadcom NetXtreme BCM5720 PCIe
OS: Ubuntu 22.04, Kernel: 5.15.0-47-generic (x86_64), Desktop: GNOME Shell 42.4, Display Server: X Server 1.21.1.3, Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1024x768
Xcompact3d Incompact3d 2021-03-11
Input: X3D-benchmarking input.i3d
Seconds < Lower Is Better
E . 426.74 |===================================================================
F . 422.49 |==================================================================
Blender 3.6
Blend File: Barbershop - Compute: CPU-Only
Seconds < Lower Is Better
E . 355.80 |===================================================================
F . 355.94 |===================================================================
Timed Linux Kernel Compilation 6.1
Build: allmodconfig
Seconds < Lower Is Better
E . 334.20 |===================================================================
F . 333.56 |===================================================================
OpenSSL 3.1
Algorithm: ChaCha20-Poly1305
byte/s > Higher Is Better
E . 133613467510 |=============================================================
F . 133611469760 |=============================================================
OpenSSL 3.1
Algorithm: ChaCha20
byte/s > Higher Is Better
E . 190340976640 |=============================================================
F . 190276666710 |=============================================================
OpenSSL 3.1
Algorithm: AES-256-GCM
byte/s > Higher Is Better
E . 301537503100 |=============================================================
F . 301560675530 |=============================================================
OpenSSL 3.1
Algorithm: AES-128-GCM
byte/s > Higher Is Better
E . 350368000140 |=============================================================
F . 351016588900 |=============================================================
OpenSSL 3.1
Algorithm: SHA512
byte/s > Higher Is Better
E . 15424545380 |==============================================================
F . 15419482790 |==============================================================
OpenSSL 3.1
Algorithm: SHA256
byte/s > Higher Is Better
E . 48327010260 |==============================================================
F . 48277353550 |==============================================================
Timed Node.js Compilation 19.8.1
Time To Compile
Seconds < Lower Is Better
E . 171.75 |===================================================================
F . 171.15 |===================================================================
Timed Gem5 Compilation 21.2
Time To Compile
Seconds < Lower Is Better
E . 155.59 |===================================================================
F . 155.67 |===================================================================
Blender 3.6
Blend File: Pabellon Barcelona - Compute: CPU-Only
Seconds < Lower Is Better
E . 124.16 |===================================================================
F . 123.67 |===================================================================
Timed Godot Game Engine Compilation 4.0
Time To Compile
Seconds < Lower Is Better
E . 112.55 |===================================================================
F . 112.62 |===================================================================
NCNN 20230517
Target: CPU - Model: FastestDet
ms < Lower Is Better
E . 12.67 |====================================================================
F . 12.59 |====================================================================
NCNN 20230517
Target: CPU - Model: vision_transformer
ms < Lower Is Better
E . 45.00 |===================================================================
F . 45.62 |====================================================================
NCNN 20230517
Target: CPU - Model: regnety_400m
ms < Lower Is Better
E . 24.53 |====================================================================
F . 24.30 |===================================================================
NCNN 20230517
Target: CPU - Model: squeezenet_ssd
ms < Lower Is Better
E . 16.55 |====================================================================
F . 16.41 |===================================================================
NCNN 20230517
Target: CPU - Model: yolov4-tiny
ms < Lower Is Better
E . 26.35 |====================================================================
F . 26.32 |====================================================================
NCNN 20230517
Target: CPU - Model: resnet50
ms < Lower Is Better
E . 17.90 |====================================================================
F . 18.01 |====================================================================
NCNN 20230517
Target: CPU - Model: alexnet
ms < Lower Is Better
E . 5.91 |=====================================================================
F . 5.87 |=====================================================================
NCNN 20230517
Target: CPU - Model: resnet18
ms < Lower Is Better
E . 9.07 |=====================================================================
F . 9.12 |=====================================================================
NCNN 20230517
Target: CPU - Model: vgg16
ms < Lower Is Better
E . 26.04 |===================================================================
F . 26.57 |====================================================================
NCNN 20230517
Target: CPU - Model: googlenet
ms < Lower Is Better
E . 20.67 |====================================================================
F . 20.55 |====================================================================
NCNN 20230517
Target: CPU - Model: blazeface
ms < Lower Is Better
E . 4.13 |=====================================================================
F . 4.03 |===================================================================
NCNN 20230517
Target: CPU - Model: efficientnet-b0
ms < Lower Is Better
E . 10.74 |====================================================================
F . 10.67 |====================================================================
NCNN 20230517
Target: CPU - Model: mnasnet
ms < Lower Is Better
E . 7.43 |=====================================================================
F . 7.44 |=====================================================================
NCNN 20230517
Target: CPU - Model: shufflenet-v2
ms < Lower Is Better
E . 10.01 |====================================================================
F . 9.92 |===================================================================
NCNN 20230517
Target: CPU-v3-v3 - Model: mobilenet-v3
ms < Lower Is Better
E . 8.49 |=====================================================================
F . 8.48 |=====================================================================
NCNN 20230517
Target: CPU-v2-v2 - Model: mobilenet-v2
ms < Lower Is Better
E . 8.31 |=====================================================================
F . 8.27 |=====================================================================
NCNN 20230517
Target: CPU - Model: mobilenet
ms < Lower Is Better
E . 17.40 |====================================================================
F . 17.26 |===================================================================
Blender 3.6
Blend File: Classroom - Compute: CPU-Only
Seconds < Lower Is Better
E . 101.62 |===================================================================
F . 101.45 |===================================================================
ASKAP 1.0
Test: tConvolve MT - Degridding
Million Grid Points Per Second > Higher Is Better
E . 15576.2 |==================================================================
F . 15633.4 |==================================================================
ASKAP 1.0
Test: tConvolve MT - Gridding
Million Grid Points Per Second > Higher Is Better
E . 11262.6 |==================================================================
F . 11330.0 |==================================================================
libavif avifenc 1.0
Encoder Speed: 0
Seconds < Lower Is Better
E . 72.29 |====================================================================
F . 72.60 |====================================================================
Apache IoTDB 1.1.2
Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500
Average Latency < Lower Is Better
E . 70.79 |====================================================================
F . 65.16 |===============================================================
Apache IoTDB 1.1.2
Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500
point/sec > Higher Is Better
E . 67181470.11 |===========================================================
F . 71000860.09 |==============================================================
OpenSSL 3.1
Algorithm: RSA4096
verify/s > Higher Is Better
E . 549644.5 |=================================================================
F . 549345.8 |=================================================================
OpenSSL 3.1
Algorithm: RSA4096
sign/s > Higher Is Better
E . 17152.6 |==================================================================
F . 17202.9 |==================================================================
Blender 3.6
Blend File: Fishy Cat - Compute: CPU-Only
Seconds < Lower Is Better
E . 49.68 |====================================================================
F . 49.79 |====================================================================
Apache IoTDB 1.1.2
Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 500
Average Latency < Lower Is Better
E . 92.91 |====================================================================
F . 91.03 |===================================================================
Apache IoTDB 1.1.2
Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 500
point/sec > Higher Is Better
E . 49539921.59 |=============================================================
F . 50107256.21 |==============================================================
Blender 3.6
Blend File: BMW27 - Compute: CPU-Only
Seconds < Lower Is Better
E . 39.98 |====================================================================
F . 40.01 |====================================================================
libavif avifenc 1.0
Encoder Speed: 2
Seconds < Lower Is Better
E . 38.12 |====================================================================
F . 37.94 |====================================================================
Apache IoTDB 1.1.2
Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 500
Average Latency < Lower Is Better
E . 32.07 |====================================================================
F . 31.43 |===================================================================
Apache IoTDB 1.1.2
Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 500
point/sec > Higher Is Better
E . 1408314.28 |=============================================================
F . 1445916.13 |===============================================================
Apache IoTDB 1.1.2
Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200
Average Latency < Lower Is Better
E . 29.07 |===================================================================
F . 29.37 |====================================================================
Apache IoTDB 1.1.2
Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200
point/sec > Higher Is Better
E . 60821535.47 |==============================================================
F . 60811785.77 |==============================================================
NAS Parallel Benchmarks 3.4
Test / Class: EP.D
Total Mop/s > Higher Is Better
E . 3555.93 |========================================================
F . 4177.87 |==================================================================
Stress-NG 0.16.04
Test: IO_uring
Bogo Ops/s > Higher Is Better
E . 5064110.48 |===============================================================
F . 5015105.12 |==============================================================
Stress-NG 0.16.04
Test: Futex
Bogo Ops/s > Higher Is Better
E . 2852066.71 |===============================================================
F . 2717400.09 |============================================================
Timed Linux Kernel Compilation 6.1
Build: defconfig
Seconds < Lower Is Better
E . 31.94 |====================================================================
F . 32.07 |====================================================================
SVT-AV1 1.7
Encoder Mode: Preset 4 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
E . 5.285 |===================================================================
F . 5.348 |====================================================================
Stress-NG 0.16.04
Test: Malloc
Bogo Ops/s > Higher Is Better
E . 159403243.38 |=============================================================
F . 158836969.43 |=============================================================
Stress-NG 0.16.04
Test: MMAP
Bogo Ops/s > Higher Is Better
E . 625.09 |===================================================================
F . 609.72 |=================================================================
Stress-NG 0.16.04
Test: Cloning
Bogo Ops/s > Higher Is Better
E . 6870.08 |=========================================================
F . 7924.08 |==================================================================
Stress-NG 0.16.04
Test: MEMFD
Bogo Ops/s > Higher Is Better
E . 415.36 |===================================================================
F . 411.49 |==================================================================
Stress-NG 0.16.04
Test: Atomic
Bogo Ops/s > Higher Is Better
E . 247.05 |===================================================================
F . 246.37 |===================================================================
Stress-NG 0.16.04
Test: CPU Cache
Bogo Ops/s > Higher Is Better
E . 1117509.74 |===============================================================
F . 1117723.88 |===============================================================
Stress-NG 0.16.04
Test: Zlib
Bogo Ops/s > Higher Is Better
E . 3889.71 |==================================================================
F . 3893.79 |==================================================================
Stress-NG 0.16.04
Test: Pthread
Bogo Ops/s > Higher Is Better
E . 104885.48 |================================================================
F . 104500.93 |================================================================
Stress-NG 0.16.04
Test: AVX-512 VNNI
Bogo Ops/s > Higher Is Better
E . 4093266.57 |===============================================================
F . 3473026.51 |=====================================================
Stress-NG 0.16.04
Test: Vector Floating Point
Bogo Ops/s > Higher Is Better
E . 101972.69 |================================================================
F . 101749.29 |================================================================
Stress-NG 0.16.04
Test: AVL Tree
Bogo Ops/s > Higher Is Better
E . 693.33 |===================================================================
F . 694.87 |===================================================================
Stress-NG 0.16.04
Test: x86_64 RdRand
Bogo Ops/s > Higher Is Better
E . 11942773.88 |==============================================================
F . 11878217.33 |==============================================================
Stress-NG 0.16.04
Test: Vector Math
Bogo Ops/s > Higher Is Better
E . 214246.51 |================================================================
F . 214233.97 |================================================================
Stress-NG 0.16.04
Test: Matrix Math
Bogo Ops/s > Higher Is Better
E . 166863.57 |================================================================
F . 166859.04 |================================================================
Stress-NG 0.16.04
Test: Forking
Bogo Ops/s > Higher Is Better
E . 26368.36 |=================================================================
F . 26317.30 |=================================================================
Stress-NG 0.16.04
Test: Crypto
Bogo Ops/s > Higher Is Better
E . 79338.51 |=================================================================
F . 79616.41 |=================================================================
Stress-NG 0.16.04
Test: Hash
Bogo Ops/s > Higher Is Better
E . 7179982.15 |===============================================================
F . 7192739.29 |===============================================================
Stress-NG 0.16.04
Test: Function Call
Bogo Ops/s > Higher Is Better
E . 25044.49 |=================================================================
F . 25183.91 |=================================================================
Stress-NG 0.16.04
Test: NUMA
Bogo Ops/s > Higher Is Better
E . 647.21 |===================================================================
F . 645.72 |===================================================================
Stress-NG 0.16.04
Test: Matrix 3D Math
Bogo Ops/s > Higher Is Better
E . 28914.23 |=================================================================
F . 28742.76 |=================================================================
Stress-NG 0.16.04
Test: Floating Point
Bogo Ops/s > Higher Is Better
E . 11457.56 |=================================================================
F . 11511.71 |=================================================================
Stress-NG 0.16.04
Test: Vector Shuffle
Bogo Ops/s > Higher Is Better
E . 24688.71 |=================================================================
F . 24689.76 |=================================================================
Stress-NG 0.16.04
Test: Memory Copying
Bogo Ops/s > Higher Is Better
E . 12746.29 |=================================================================
F . 12744.05 |=================================================================
Stress-NG 0.16.04
Test: Mutex
Bogo Ops/s > Higher Is Better
E . 23255699.79 |==============================================================
F . 22935233.04 |=============================================================
Stress-NG 0.16.04
Test: System V Message Passing
Bogo Ops/s > Higher Is Better
E . 7967662.12 |===============================================================
F . 7980751.91 |===============================================================
Stress-NG 0.16.04
Test: CPU Stress
Bogo Ops/s > Higher Is Better
E . 76099.17 |=================================================================
F . 76433.87 |=================================================================
Stress-NG 0.16.04
Test: Glibc Qsort Data Sorting
Bogo Ops/s > Higher Is Better
E . 818.41 |===================================================================
F . 818.44 |===================================================================
Stress-NG 0.16.04
Test: Glibc C String Functions
Bogo Ops/s > Higher Is Better
E . 31352208.83 |=============================================================
F . 31613431.85 |==============================================================
Stress-NG 0.16.04
Test: Fused Multiply-Add
Bogo Ops/s > Higher Is Better
E . 30155491.73 |==============================================================
F . 30114608.52 |==============================================================
Stress-NG 0.16.04
Test: Context Switching
Bogo Ops/s > Higher Is Better
E . 14202532.49 |==============================================================
F . 14196798.48 |==============================================================
Stress-NG 0.16.04
Test: Wide Vector Math
Bogo Ops/s > Higher Is Better
E . 1415448.85 |===============================================================
F . 1409726.96 |===============================================================
Stress-NG 0.16.04
Test: Socket Activity
Bogo Ops/s > Higher Is Better
E . 31093.74 |=================================================================
F . 31108.14 |=================================================================
Stress-NG 0.16.04
Test: Mixed Scheduler
Bogo Ops/s > Higher Is Better
E . 33179.00 |=================================================================
F . 33150.73 |=================================================================
Stress-NG 0.16.04
Test: Semaphores
Bogo Ops/s > Higher Is Better
E . 81406001.02 |==============================================================
F . 78775153.73 |============================================================
Stress-NG 0.16.04
Test: SENDFILE
Bogo Ops/s > Higher Is Better
E . 649786.78 |==============================================================
F . 675353.65 |================================================================
Stress-NG 0.16.04
Test: Poll
Bogo Ops/s > Higher Is Better
E . 4343727.88 |===============================================================
F . 4271308.93 |==============================================================
Stress-NG 0.16.04
Test: Pipe
Bogo Ops/s > Higher Is Better
E . 18207317.96 |=========================================================
F . 19946044.78 |==============================================================
7-Zip Compression 22.01
Test: Decompression Rating
MIPS > Higher Is Better
E . 248227 |===================================================================
F . 246009 |==================================================================
7-Zip Compression 22.01
Test: Compression Rating
MIPS > Higher Is Better
E . 301517 |===================================================================
F . 302670 |===================================================================
Kvazaar 2.2
Video Input: Bosphorus 4K - Video Preset: Slow
Frames Per Second > Higher Is Better
E . 22.70 |===================================================================
F . 22.93 |====================================================================
Kvazaar 2.2
Video Input: Bosphorus 4K - Video Preset: Medium
Frames Per Second > Higher Is Better
E . 23.49 |====================================================================
F . 23.49 |====================================================================
Apache IoTDB 1.1.2
Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 500
Average Latency < Lower Is Better
E . 78.92 |====================================================================
F . 76.47 |==================================================================
Apache IoTDB 1.1.2
Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 500
point/sec > Higher Is Better
E . 52556675.96 |============================================================
F . 54498343.71 |==============================================================
Apache IoTDB 1.1.2
Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 200
Average Latency < Lower Is Better
E . 13.94 |====================================================================
F . 13.70 |===================================================================
Apache IoTDB 1.1.2
Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 200
point/sec > Higher Is Better
E . 1178643.97 |==============================================================
F . 1193616.95 |===============================================================
Apache IoTDB 1.1.2
Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 500
Average Latency < Lower Is Better
E . 33.33 |==============================================================
F . 36.74 |====================================================================
Apache IoTDB 1.1.2
Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 500
point/sec > Higher Is Better
E . 1244290.54 |===============================================================
F . 1144274.29 |==========================================================
Apache IoTDB 1.1.2
Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 200
Average Latency < Lower Is Better
E . 35.05 |====================================================================
F . 32.66 |===============================================================
Apache IoTDB 1.1.2
Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 200
point/sec > Higher Is Better
E . 47100474.32 |==========================================================
F . 50016758.44 |==============================================================
NAS Parallel Benchmarks 3.4
Test / Class: BT.C
Total Mop/s > Higher Is Better
E . 130842.77 |================================================================
F . 130890.96 |================================================================
Apache IoTDB 1.1.2
Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 200
Average Latency < Lower Is Better
E . 37.95 |====================================================================
F . 36.79 |==================================================================
Apache IoTDB 1.1.2
Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 200
point/sec > Higher Is Better
E . 38111412.39 |============================================================
F . 39129510.65 |==============================================================
Apache IoTDB 1.1.2
Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 500
Average Latency < Lower Is Better
E . 35.56 |==============================================================
F . 38.71 |====================================================================
Apache IoTDB 1.1.2
Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 500
point/sec > Higher Is Better
E . 1016068.17 |===============================================================
F . 955839.49 |===========================================================
Apache IoTDB 1.1.2
Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 200
Average Latency < Lower Is Better
E . 15.3 |=================================================================
F . 16.3 |=====================================================================
Apache IoTDB 1.1.2
Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 200
point/sec > Higher Is Better
E . 902188.66 |================================================================
F . 862346.98 |=============================================================
Timed Mesa Compilation 21.0
Time To Compile
Seconds < Lower Is Better
E . 17.53 |====================================================================
F . 17.53 |====================================================================
Apache IoTDB 1.1.2
Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 200
Average Latency < Lower Is Better
E . 20.42 |====================================================================
F . 19.58 |=================================================================
Apache IoTDB 1.1.2
Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 200
point/sec > Higher Is Better
E . 588587.22 |==============================================================
F . 603375.23 |================================================================
NAS Parallel Benchmarks 3.4
Test / Class: SP.C
Total Mop/s > Higher Is Better
E . 105770.90 |================================================================
F . 105402.56 |================================================================
ASKAP 1.0
Test: tConvolve MPI - Gridding
Mpix/sec > Higher Is Better
E . 30870.1 |==================================================================
F . 30870.1 |==================================================================
ASKAP 1.0
Test: tConvolve MPI - Degridding
Mpix/sec > Higher Is Better
E . 23854.1 |==================================================================
F . 23854.1 |==================================================================
Xcompact3d Incompact3d 2021-03-11
Input: input.i3d 193 Cells Per Direction
Seconds < Lower Is Better
E . 12.37 |====================================================================
F . 12.26 |===================================================================
NAS Parallel Benchmarks 3.4
Test / Class: IS.D
Total Mop/s > Higher Is Better
E . 4202.57 |=================================================================
F . 4255.49 |==================================================================
SVT-AV1 1.7
Encoder Mode: Preset 4 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
E . 13.54 |===================================================================
F . 13.67 |====================================================================
ASKAP 1.0
Test: Hogbom Clean OpenMP
Iterations Per Second > Higher Is Better
E . 1149.43 |==================================================================
F . 1149.43 |==================================================================
Kvazaar 2.2
Video Input: Bosphorus 4K - Video Preset: Very Fast
Frames Per Second > Higher Is Better
E . 48.90 |====================================================================
F . 48.77 |====================================================================
NAS Parallel Benchmarks 3.4
Test / Class: LU.C
Total Mop/s > Higher Is Better
E . 195117.13 |================================================================
F . 188290.63 |==============================================================
libxsmm 2-1.17-3645
M N K: 64
GFLOPS/s > Higher Is Better
E . 1246.6 |===================================================================
F . 1244.0 |===================================================================
Kvazaar 2.2
Video Input: Bosphorus 4K - Video Preset: Super Fast
Frames Per Second > Higher Is Better
E . 61.87 |====================================================================
F . 61.71 |====================================================================
miniFE 2.2
Problem Size: Small
CG Mflops > Higher Is Better
E . 57367.1 |==================================================================
F . 57438.2 |==================================================================
SVT-AV1 1.7
Encoder Mode: Preset 8 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
E . 68.74 |======================================================
F . 86.17 |====================================================================
Kvazaar 2.2
Video Input: Bosphorus 1080p - Video Preset: Slow
Frames Per Second > Higher Is Better
E . 69.99 |====================================================================
F . 70.00 |====================================================================
Kvazaar 2.2
Video Input: Bosphorus 4K - Video Preset: Ultra Fast
Frames Per Second > Higher Is Better
E . 72.57 |====================================================================
F . 72.53 |====================================================================
Kvazaar 2.2
Video Input: Bosphorus 1080p - Video Preset: Medium
Frames Per Second > Higher Is Better
E . 73.29 |====================================================================
F . 72.72 |===================================================================
libxsmm 2-1.17-3645
M N K: 32
GFLOPS/s > Higher Is Better
E . 981.1 |====================================================================
F . 967.1 |===================================================================
ASKAP 1.0
Test: tConvolve OpenMP - Degridding
Million Grid Points Per Second > Higher Is Better
E . 33282 |====================================================================
F . 33282 |====================================================================
ASKAP 1.0
Test: tConvolve OpenMP - Gridding
Million Grid Points Per Second > Higher Is Better
E . 22188.0 |==================================================================
F . 20481.2 |=============================================================
libavif avifenc 1.0
Encoder Speed: 6, Lossless
Seconds < Lower Is Better
E . 5.650 |====================================================================
F . 5.611 |====================================================================
NAS Parallel Benchmarks 3.4
Test / Class: FT.C
Total Mop/s > Higher Is Better
E . 91806.30 |=================================================================
F . 91355.37 |=================================================================
SVT-AV1 1.7
Encoder Mode: Preset 8 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
E . 141.11 |===================================================================
F . 139.80 |==================================================================
SVT-AV1 1.7
Encoder Mode: Preset 13 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
E . 161.79 |===================================================================
F . 162.46 |===================================================================
SVT-AV1 1.7
Encoder Mode: Preset 12 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
E . 161.63 |==================================================================
F . 163.27 |===================================================================
Xcompact3d Incompact3d 2021-03-11
Input: input.i3d 129 Cells Per Direction
Seconds < Lower Is Better
E . 3.76278901 |==============================================================
F . 3.82253599 |===============================================================
libavif avifenc 1.0
Encoder Speed: 10, Lossless
Seconds < Lower Is Better
E . 4.082 |====================================================================
F . 4.085 |====================================================================
Kvazaar 2.2
Video Input: Bosphorus 1080p - Video Preset: Very Fast
Frames Per Second > Higher Is Better
E . 162.16 |===================================================================
F . 161.28 |===================================================================
NAS Parallel Benchmarks 3.4
Test / Class: CG.C
Total Mop/s > Higher Is Better
E . 47029.42 |==============================================================
F . 49017.63 |=================================================================
NAS Parallel Benchmarks 3.4
Test / Class: SP.B
Total Mop/s > Higher Is Better
E . 119825.49 |================================================================
F . 119401.29 |================================================================
libavif avifenc 1.0
Encoder Speed: 6
Seconds < Lower Is Better
E . 2.867 |====================================================================
F . 2.857 |====================================================================
Kvazaar 2.2
Video Input: Bosphorus 1080p - Video Preset: Super Fast
Frames Per Second > Higher Is Better
E . 224.67 |===================================================================
F . 223.65 |===================================================================
NAS Parallel Benchmarks 3.4
Test / Class: EP.C
Total Mop/s > Higher Is Better
E . 4107.38 |==================================================================
F . 4134.38 |==================================================================
Kvazaar 2.2
Video Input: Bosphorus 1080p - Video Preset: Ultra Fast
Frames Per Second > Higher Is Better
E . 263.45 |==================================================================
F . 266.37 |===================================================================
NAS Parallel Benchmarks 3.4
Test / Class: MG.C
Total Mop/s > Higher Is Better
E . 121134.91 |================================================================
F . 114790.76 |=============================================================
SVT-AV1 1.7
Encoder Mode: Preset 12 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
E . 515.85 |===================================================================
F . 505.01 |==================================================================
SVT-AV1 1.7
Encoder Mode: Preset 13 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
E . 615.96 |===================================================================
F . 605.26 |==================================================================