AMD Ryzen 9 3900XT 12-Core testing with a MSI MEG X570 GODLIKE (MS-7C34) v1.0 (1.B3 BIOS) and AMD Radeon RX 56/64 8GB 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 2310319-NE-OKT13575789
okt
AMD Ryzen 9 3900XT 12-Core testing with a MSI MEG X570 GODLIKE (MS-7C34) v1.0 (1.B3 BIOS) and AMD Radeon RX 56/64 8GB on Ubuntu 22.04 via the Phoronix Test Suite.
a:
Processor: AMD Ryzen 9 3900XT 12-Core @ 3.80GHz (12 Cores / 24 Threads), Motherboard: MSI MEG X570 GODLIKE (MS-7C34) v1.0 (1.B3 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 500GB Seagate FireCuda 520 SSD ZP500GM30002, Graphics: AMD Radeon RX 56/64 8GB (1630/945MHz), Audio: AMD Vega 10 HDMI Audio, Monitor: ASUS MG28U, Network: Realtek Device 2600 + Realtek Killer E3000 2.5GbE + Intel Wi-Fi 6 AX200
OS: Ubuntu 22.04, Kernel: 6.2.0-35-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.0.1 (LLVM 13.0.1 DRM 3.49), Vulkan: 1.3.204, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 3840x2160
b:
Processor: AMD Ryzen 9 3900XT 12-Core @ 3.80GHz (12 Cores / 24 Threads), Motherboard: MSI MEG X570 GODLIKE (MS-7C34) v1.0 (1.B3 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 500GB Seagate FireCuda 520 SSD ZP500GM30002, Graphics: AMD Radeon RX 56/64 8GB (1630/945MHz), Audio: AMD Vega 10 HDMI Audio, Monitor: ASUS MG28U, Network: Realtek Device 2600 + Realtek Killer E3000 2.5GbE + Intel Wi-Fi 6 AX200
OS: Ubuntu 22.04, Kernel: 6.2.0-35-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.0.1 (LLVM 13.0.1 DRM 3.49), Vulkan: 1.3.204, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 3840x2160
3DMark Wild Life Extreme 1.1.2.1
Resolution: 1920 x 1080
Frames Per Second > Higher Is Better
a . 251.67 |===================================================================
b . 253.07 |===================================================================
Apache Cassandra 4.1.3
Test: Writes
Op/s > Higher Is Better
a . 110053 |==================================================================
b . 111134 |===================================================================
Apache Hadoop 3.3.6
Operation: Create - Threads: 20 - Files: 100000
Ops per sec > Higher Is Better
a . 18804 |===================================================================
b . 19128 |====================================================================
Apache HTTP Server 2.4.56
Concurrent Requests: 100
Requests Per Second > Higher Is Better
Apache HTTP Server 2.4.56
Concurrent Requests: 200
Requests Per Second > Higher Is Better
Apache HTTP Server 2.4.56
Concurrent Requests: 500
Requests Per Second > Higher Is Better
Apache HTTP Server 2.4.56
Concurrent Requests: 1000
Requests Per Second > Higher Is Better
Apache IoTDB 1.2
Device Count: 800 - Batch Size Per Write: 1 - Sensor Count: 200 - Client Number: 100
point/sec > Higher Is Better
a . 870895 |===================================================================
b . 876234 |===================================================================
Apache IoTDB 1.2
Device Count: 800 - Batch Size Per Write: 1 - Sensor Count: 200 - Client Number: 100
Average Latency < Lower Is Better
a . 21.46 |====================================================================
b . 21.31 |====================================================================
Apache IoTDB 1.2
Device Count: 800 - Batch Size Per Write: 1 - Sensor Count: 200 - Client Number: 400
point/sec > Higher Is Better
a . 883206 |=================================================================
b . 907114 |===================================================================
Apache IoTDB 1.2
Device Count: 800 - Batch Size Per Write: 1 - Sensor Count: 200 - Client Number: 400
Average Latency < Lower Is Better
a . 82.72 |====================================================================
b . 79.59 |=================================================================
Apache IoTDB 1.2
Device Count: 800 - Batch Size Per Write: 1 - Sensor Count: 500 - Client Number: 100
point/sec > Higher Is Better
a . 1598972 |=================================================================
b . 1634118 |==================================================================
Apache IoTDB 1.2
Device Count: 800 - Batch Size Per Write: 1 - Sensor Count: 500 - Client Number: 100
Average Latency < Lower Is Better
a . 29.57 |====================================================================
b . 29.06 |===================================================================
Apache IoTDB 1.2
Device Count: 800 - Batch Size Per Write: 1 - Sensor Count: 500 - Client Number: 400
point/sec > Higher Is Better
a . 1680328 |==================================================================
b . 1678639 |==================================================================
Apache IoTDB 1.2
Device Count: 800 - Batch Size Per Write: 1 - Sensor Count: 500 - Client Number: 400
Average Latency < Lower Is Better
a . 108.87 |===================================================================
b . 108.49 |===================================================================
Apache IoTDB 1.2
Device Count: 800 - Batch Size Per Write: 1 - Sensor Count: 800 - Client Number: 100
point/sec > Higher Is Better
a . 1353913 |==================================================================
b . 1345876 |==================================================================
Apache IoTDB 1.2
Device Count: 800 - Batch Size Per Write: 1 - Sensor Count: 800 - Client Number: 100
Average Latency < Lower Is Better
a . 57.10 |====================================================================
b . 57.24 |====================================================================
Apache IoTDB 1.2
Device Count: 800 - Batch Size Per Write: 1 - Sensor Count: 800 - Client Number: 400
point/sec > Higher Is Better
a . 1946289 |==================================================================
b . 1907446 |=================================================================
Apache IoTDB 1.2
Device Count: 800 - Batch Size Per Write: 1 - Sensor Count: 800 - Client Number: 400
Average Latency < Lower Is Better
a . 151.10 |=================================================================
b . 154.86 |===================================================================
Apache IoTDB 1.2
Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100
point/sec > Higher Is Better
a . 27513199 |================================================================
b . 27931670 |=================================================================
Apache IoTDB 1.2
Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100
Average Latency < Lower Is Better
a . 68.27 |====================================================================
b . 67.75 |===================================================================
Apache IoTDB 1.2
Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400
Apache IoTDB 1.2
Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100
point/sec > Higher Is Better
a . 22648486 |===========================================================
b . 25003579 |=================================================================
Apache IoTDB 1.2
Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100
Average Latency < Lower Is Better
a . 214.04 |===================================================================
b . 193.72 |=============================================================
Apache IoTDB 1.2
Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400
point/sec > Higher Is Better
a . 23078340 |=================================================================
b . 22919674 |=================================================================
Apache IoTDB 1.2
Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400
Average Latency < Lower Is Better
a . 783.24 |==================================================================
b . 800.04 |===================================================================
Apache IoTDB 1.2
Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100
point/sec > Higher Is Better
a . 23311141 |=================================================================
b . 21936964 |=============================================================
Apache IoTDB 1.2
Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100
Average Latency < Lower Is Better
a . 335.42 |===============================================================
b . 356.70 |===================================================================
Apache IoTDB 1.2
Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400
point/sec > Higher Is Better
a . 19627767 |=================================================================
b . 18927006 |===============================================================
Apache IoTDB 1.2
Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400
Average Latency < Lower Is Better
a . 1540.09 |================================================================
b . 1597.52 |==================================================================
Blender 3.6
Blend File: BMW27 - Compute: CPU-Only
Seconds < Lower Is Better
a . 106.56 |==================================================================
b . 107.52 |===================================================================
Blender 3.6
Blend File: Classroom - Compute: CPU-Only
Seconds < Lower Is Better
a . 289.11 |===================================================================
b . 290.28 |===================================================================
Blender 3.6
Blend File: Fishy Cat - Compute: CPU-Only
Seconds < Lower Is Better
a . 134.28 |===================================================================
b . 133.77 |===================================================================
Blender 3.6
Blend File: Barbershop - Compute: CPU-Only
Seconds < Lower Is Better
a . 1113.55 |==================================================================
b . 1113.73 |==================================================================
Blender 3.6
Blend File: Pabellon Barcelona - Compute: CPU-Only
Seconds < Lower Is Better
a . 345.49 |===================================================================
b . 343.58 |===================================================================
BRL-CAD 7.36
VGR Performance Metric
VGR Performance Metric > Higher Is Better
a . 189733 |===================================================================
b . 190422 |===================================================================
Build2 0.15
Time To Compile
Seconds < Lower Is Better
a . 123.55 |===================================================================
b . 119.19 |=================================================================
CloverLeaf 1.3
Input: clover_bm
Seconds < Lower Is Better
a . 134.11 |==================================================================
b . 135.45 |===================================================================
CloverLeaf 1.3
Input: clover_bm64_short
Seconds < Lower Is Better
a . 391.22 |===================================================================
b . 391.60 |===================================================================
CP2K Molecular Dynamics 2023.1
Input: H20-64
Seconds < Lower Is Better
a . 102.99 |===================================================================
b . 102.75 |===================================================================
CP2K Molecular Dynamics 2023.1
Input: H2O-DFT-LS
Seconds < Lower Is Better
CP2K Molecular Dynamics 2023.1
Input: Fayalite-FIST
Seconds < Lower Is Better
a . 171.29 |===================================================================
b . 171.27 |===================================================================
Cpuminer-Opt 23.5
Algorithm: Magi
kH/s > Higher Is Better
a . 370.56 |===================================================================
b . 371.36 |===================================================================
Cpuminer-Opt 23.5
Algorithm: scrypt
kH/s > Higher Is Better
a . 128.03 |===================================================================
b . 128.06 |===================================================================
Cpuminer-Opt 23.5
Algorithm: Deepcoin
kH/s > Higher Is Better
a . 4267.42 |=================================================================
b . 4307.38 |==================================================================
Cpuminer-Opt 23.5
Algorithm: Ringcoin
kH/s > Higher Is Better
a . 1882.92 |================================================================
b . 1936.29 |==================================================================
Cpuminer-Opt 23.5
Algorithm: Blake-2 S
kH/s > Higher Is Better
a . 73570 |====================================================================
b . 73540 |====================================================================
Cpuminer-Opt 23.5
Algorithm: Garlicoin
kH/s > Higher Is Better
a . 1281.81 |===============================================================
b . 1333.62 |==================================================================
Cpuminer-Opt 23.5
Algorithm: Skeincoin
kH/s > Higher Is Better
a . 18940 |====================================================================
b . 18510 |==================================================================
Cpuminer-Opt 23.5
Algorithm: Myriad-Groestl
kH/s > Higher Is Better
a . 6257.66 |==================================================================
b . 6205.35 |=================================================================
Cpuminer-Opt 23.5
Algorithm: LBC, LBRY Credits
kH/s > Higher Is Better
a . 8168.31 |==================================================================
b . 8157.18 |==================================================================
Cpuminer-Opt 23.5
Algorithm: Quad SHA-256, Pyrite
kH/s > Higher Is Better
a . 28470 |====================================================================
b . 28390 |====================================================================
Cpuminer-Opt 23.5
Algorithm: Triple SHA-256, Onecoin
kH/s > Higher Is Better
a . 40300 |====================================================================
b . 40150 |====================================================================
Crypto++ 8.8
Test: Unkeyed Algorithms
MiB/second > Higher Is Better
a . 415.49 |===============================================================
b . 439.59 |===================================================================
dav1d 1.2.1
Video Input: Chimera 1080p
FPS > Higher Is Better
a . 402.46 |===================================================================
b . 400.81 |===================================================================
dav1d 1.2.1
Video Input: Summer Nature 4K
FPS > Higher Is Better
a . 196.13 |===================================================================
b . 196.12 |===================================================================
dav1d 1.2.1
Video Input: Summer Nature 1080p
FPS > Higher Is Better
a . 793.04 |===================================================================
b . 793.90 |===================================================================
dav1d 1.2.1
Video Input: Chimera 1080p 10-bit
FPS > Higher Is Better
a . 457.63 |===================================================================
b . 458.10 |===================================================================
DuckDB 0.9.1
Benchmark: IMDB
Seconds < Lower Is Better
DuckDB 0.9.1
Benchmark: TPC-H Parquet
Seconds < Lower Is Better
easyWave r34
Input: e2Asean Grid + BengkuluSept2007 Source - Time: 240
Seconds < Lower Is Better
a . 12.29 |====================================================================
b . 12.27 |====================================================================
easyWave r34
Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200
Seconds < Lower Is Better
a . 382.08 |===================================================================
b . 382.27 |===================================================================
Embree 4.3
Binary: Pathtracer - Model: Crown
Frames Per Second > Higher Is Better
a . 15.34 |====================================================================
b . 15.19 |===================================================================
Embree 4.3
Binary: Pathtracer ISPC - Model: Crown
Frames Per Second > Higher Is Better
a . 14.03 |====================================================================
b . 14.10 |====================================================================
Embree 4.3
Binary: Pathtracer - Model: Asian Dragon
Frames Per Second > Higher Is Better
a . 16.27 |====================================================================
b . 16.33 |====================================================================
Embree 4.3
Binary: Pathtracer - Model: Asian Dragon Obj
Frames Per Second > Higher Is Better
a . 14.69 |====================================================================
b . 14.77 |====================================================================
Embree 4.3
Binary: Pathtracer ISPC - Model: Asian Dragon
Frames Per Second > Higher Is Better
a . 15.58 |====================================================================
b . 15.65 |====================================================================
Embree 4.3
Binary: Pathtracer ISPC - Model: Asian Dragon Obj
Frames Per Second > Higher Is Better
a . 13.44 |====================================================================
b . 13.44 |====================================================================
GPAW 23.6
Input: Carbon Nanotube
Seconds < Lower Is Better
a . 310.50 |===================================================================
b . 310.45 |===================================================================
High Performance Conjugate Gradient 3.1
X Y Z: 104 104 104 - RT: 60
GFLOP/s > Higher Is Better
a . 5.10918 |==================================================================
b . 5.09819 |==================================================================
Intel Open Image Denoise 2.1
Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only
Images / Sec > Higher Is Better
a . 0.46 |=====================================================================
b . 0.45 |====================================================================
Intel Open Image Denoise 2.1
Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only
Images / Sec > Higher Is Better
a . 0.44 |=====================================================================
b . 0.44 |=====================================================================
Intel Open Image Denoise 2.1
Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only
Images / Sec > Higher Is Better
a . 0.23 |=====================================================================
b . 0.22 |==================================================================
libavif avifenc 1.0
Encoder Speed: 0
Seconds < Lower Is Better
a . 129.00 |===================================================================
b . 128.80 |===================================================================
libavif avifenc 1.0
Encoder Speed: 2
Seconds < Lower Is Better
a . 63.92 |====================================================================
b . 63.18 |===================================================================
libavif avifenc 1.0
Encoder Speed: 6
Seconds < Lower Is Better
a . 6.329 |====================================================================
b . 6.238 |===================================================================
libavif avifenc 1.0
Encoder Speed: 6, Lossless
Seconds < Lower Is Better
a . 10.59 |====================================================================
b . 10.51 |===================================================================
libavif avifenc 1.0
Encoder Speed: 10, Lossless
Seconds < Lower Is Better
a . 6.291 |====================================================================
b . 6.229 |===================================================================
libxsmm 2-1.17-3645
M N K: 128
GFLOPS/s > Higher Is Better
a . 231.0 |====================================================================
b . 230.3 |====================================================================
libxsmm 2-1.17-3645
M N K: 32
GFLOPS/s > Higher Is Better
a . 55.0 |=====================================================================
b . 54.9 |=====================================================================
libxsmm 2-1.17-3645
M N K: 64
GFLOPS/s > Higher Is Better
a . 112.8 |====================================================================
b . 112.7 |====================================================================
Liquid-DSP 1.6
Threads: 1 - Buffer Length: 256 - Filter Length: 32
samples/s > Higher Is Better
a . 47740000 |=================================================================
b . 45239000 |==============================================================
Liquid-DSP 1.6
Threads: 1 - Buffer Length: 256 - Filter Length: 57
samples/s > Higher Is Better
a . 53633000 |=================================================================
b . 52191000 |===============================================================
Liquid-DSP 1.6
Threads: 2 - Buffer Length: 256 - Filter Length: 32
samples/s > Higher Is Better
a . 88956000 |================================================================
b . 90487000 |=================================================================
Liquid-DSP 1.6
Threads: 2 - Buffer Length: 256 - Filter Length: 57
samples/s > Higher Is Better
a . 102790000 |===============================================================
b . 104190000 |================================================================
Liquid-DSP 1.6
Threads: 4 - Buffer Length: 256 - Filter Length: 32
samples/s > Higher Is Better
a . 174840000 |===============================================================
b . 176360000 |================================================================
Liquid-DSP 1.6
Threads: 4 - Buffer Length: 256 - Filter Length: 57
samples/s > Higher Is Better
a . 200240000 |================================================================
b . 201440000 |================================================================
Liquid-DSP 1.6
Threads: 8 - Buffer Length: 256 - Filter Length: 32
samples/s > Higher Is Better
a . 344230000 |================================================================
b . 341300000 |===============================================================
Liquid-DSP 1.6
Threads: 8 - Buffer Length: 256 - Filter Length: 57
samples/s > Higher Is Better
a . 391000000 |===============================================================
b . 395730000 |================================================================
Liquid-DSP 1.6
Threads: 1 - Buffer Length: 256 - Filter Length: 512
samples/s > Higher Is Better
a . 10723000 |=================================================================
b . 10761000 |=================================================================
Liquid-DSP 1.6
Threads: 16 - Buffer Length: 256 - Filter Length: 32
samples/s > Higher Is Better
a . 640290000 |================================================================
b . 633870000 |===============================================================
Liquid-DSP 1.6
Threads: 16 - Buffer Length: 256 - Filter Length: 57
samples/s > Higher Is Better
a . 630380000 |================================================================
b . 631120000 |================================================================
Liquid-DSP 1.6
Threads: 2 - Buffer Length: 256 - Filter Length: 512
samples/s > Higher Is Better
a . 21283000 |=================================================================
b . 21268000 |=================================================================
Liquid-DSP 1.6
Threads: 24 - Buffer Length: 256 - Filter Length: 32
samples/s > Higher Is Better
a . 890410000 |================================================================
b . 890730000 |================================================================
Liquid-DSP 1.6
Threads: 24 - Buffer Length: 256 - Filter Length: 57
samples/s > Higher Is Better
a . 732320000 |================================================================
b . 721140000 |===============================================================
Liquid-DSP 1.6
Threads: 4 - Buffer Length: 256 - Filter Length: 512
samples/s > Higher Is Better
a . 39977000 |=================================================================
b . 39956000 |=================================================================
Liquid-DSP 1.6
Threads: 8 - Buffer Length: 256 - Filter Length: 512
samples/s > Higher Is Better
a . 78180000 |================================================================
b . 78962000 |=================================================================
Liquid-DSP 1.6
Threads: 16 - Buffer Length: 256 - Filter Length: 512
samples/s > Higher Is Better
a . 145080000 |================================================================
b . 143910000 |===============================================================
Liquid-DSP 1.6
Threads: 24 - Buffer Length: 256 - Filter Length: 512
samples/s > Higher Is Better
a . 198510000 |================================================================
b . 198780000 |================================================================
Memcached 1.6.19
Set To Get Ratio: 1:10
Ops/sec > Higher Is Better
a . 1646210.97 |===============================================================
b . 1656534.13 |===============================================================
Memcached 1.6.19
Set To Get Ratio: 1:100
Ops/sec > Higher Is Better
a . 1590140.06 |===============================================================
b . 1598152.08 |===============================================================
NCNN 20230517
Target: CPU - Model: mobilenet
ms < Lower Is Better
a . 13.21 |====================================================================
b . 13.20 |====================================================================
NCNN 20230517
Target: CPU-v2-v2 - Model: mobilenet-v2
ms < Lower Is Better
a . 4.24 |=====================================================================
b . 4.23 |=====================================================================
NCNN 20230517
Target: CPU-v3-v3 - Model: mobilenet-v3
ms < Lower Is Better
a . 3.64 |=====================================================================
b . 3.62 |=====================================================================
NCNN 20230517
Target: CPU - Model: shufflenet-v2
ms < Lower Is Better
a . 4.62 |=====================================================================
b . 4.60 |=====================================================================
NCNN 20230517
Target: CPU - Model: mnasnet
ms < Lower Is Better
a . 3.81 |=====================================================================
b . 3.81 |=====================================================================
NCNN 20230517
Target: CPU - Model: efficientnet-b0
ms < Lower Is Better
a . 6.21 |=====================================================================
b . 6.18 |=====================================================================
NCNN 20230517
Target: CPU - Model: blazeface
ms < Lower Is Better
a . 1.76 |=====================================================================
b . 1.72 |===================================================================
NCNN 20230517
Target: CPU - Model: googlenet
ms < Lower Is Better
a . 14.18 |====================================================================
b . 14.03 |===================================================================
NCNN 20230517
Target: CPU - Model: vgg16
ms < Lower Is Better
a . 52.11 |===================================================================
b . 52.55 |====================================================================
NCNN 20230517
Target: CPU - Model: resnet18
ms < Lower Is Better
a . 9.75 |=====================================================================
b . 9.82 |=====================================================================
NCNN 20230517
Target: CPU - Model: alexnet
ms < Lower Is Better
a . 9.14 |====================================================================
b . 9.23 |=====================================================================
NCNN 20230517
Target: CPU - Model: resnet50
ms < Lower Is Better
a . 18.14 |====================================================================
b . 17.98 |===================================================================
NCNN 20230517
Target: CPU - Model: yolov4-tiny
ms < Lower Is Better
a . 24.32 |====================================================================
b . 24.27 |====================================================================
NCNN 20230517
Target: CPU - Model: squeezenet_ssd
ms < Lower Is Better
a . 11.93 |====================================================================
b . 11.91 |====================================================================
NCNN 20230517
Target: CPU - Model: regnety_400m
ms < Lower Is Better
a . 10.30 |====================================================================
b . 10.14 |===================================================================
NCNN 20230517
Target: CPU - Model: vision_transformer
ms < Lower Is Better
a . 70.77 |====================================================================
b . 70.42 |====================================================================
NCNN 20230517
Target: CPU - Model: FastestDet
ms < Lower Is Better
a . 5.11 |=====================================================================
b . 5.09 |=====================================================================
nekRS 23.0
Input: Kershaw
flops/rank > Higher Is Better
a . 1771410000 |===============================================================
b . 1777340000 |===============================================================
nekRS 23.0
Input: TurboPipe Periodic
flops/rank > Higher Is Better
a . 2989030000 |===============================================================
b . 2989160000 |===============================================================
Neural Magic DeepSparse 1.5
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 9.9426 |===================================================================
b . 9.9514 |===================================================================
Neural Magic DeepSparse 1.5
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 603.41 |===================================================================
b . 601.87 |===================================================================
Neural Magic DeepSparse 1.5
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 8.1515 |===================================================================
b . 8.1693 |===================================================================
Neural Magic DeepSparse 1.5
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 122.67 |===================================================================
b . 122.40 |===================================================================
Neural Magic DeepSparse 1.5
Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 237.57 |===================================================================
b . 237.66 |===================================================================
Neural Magic DeepSparse 1.5
Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 25.23 |====================================================================
b . 25.22 |====================================================================
Neural Magic DeepSparse 1.5
Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 130.74 |===================================================================
b . 131.22 |===================================================================
Neural Magic DeepSparse 1.5
Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 7.6440 |===================================================================
b . 7.6158 |===================================================================
Neural Magic DeepSparse 1.5
Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 94.20 |====================================================================
b . 93.88 |====================================================================
Neural Magic DeepSparse 1.5
Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 63.68 |====================================================================
b . 63.89 |====================================================================
Neural Magic DeepSparse 1.5
Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 51.76 |===================================================================
b . 52.27 |====================================================================
Neural Magic DeepSparse 1.5
Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 19.31 |====================================================================
b . 19.13 |===================================================================
Neural Magic DeepSparse 1.5
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 31.73 |====================================================================
b . 31.57 |====================================================================
Neural Magic DeepSparse 1.5
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 189.08 |===================================================================
b . 190.03 |===================================================================
Neural Magic DeepSparse 1.5
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 19.82 |====================================================================
b . 19.70 |====================================================================
Neural Magic DeepSparse 1.5
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 50.45 |====================================================================
b . 50.76 |====================================================================
Neural Magic DeepSparse 1.5
Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 125.01 |===================================================================
b . 125.18 |===================================================================
Neural Magic DeepSparse 1.5
Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 47.97 |====================================================================
b . 47.91 |====================================================================
Neural Magic DeepSparse 1.5
Model: ResNet-50, Baseline - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 85.97 |====================================================================
b . 85.88 |====================================================================
Neural Magic DeepSparse 1.5
Model: ResNet-50, Baseline - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 11.62 |====================================================================
b . 11.64 |====================================================================
Neural Magic DeepSparse 1.5
Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 737.24 |===================================================================
b . 737.75 |===================================================================
Neural Magic DeepSparse 1.5
Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 8.1177 |===================================================================
b . 8.1122 |===================================================================
Neural Magic DeepSparse 1.5
Model: ResNet-50, Sparse INT8 - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 466.22 |===================================================================
b . 467.13 |===================================================================
Neural Magic DeepSparse 1.5
Model: ResNet-50, Sparse INT8 - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 2.1424 |===================================================================
b . 2.1383 |===================================================================
Neural Magic DeepSparse 1.5
Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 55.58 |====================================================================
b . 55.88 |====================================================================
Neural Magic DeepSparse 1.5
Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 107.87 |===================================================================
b . 107.35 |===================================================================
Neural Magic DeepSparse 1.5
Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 46.36 |====================================================================
b . 46.50 |====================================================================
Neural Magic DeepSparse 1.5
Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 21.56 |====================================================================
b . 21.50 |====================================================================
Neural Magic DeepSparse 1.5
Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 12.68 |====================================================================
b . 12.69 |====================================================================
Neural Magic DeepSparse 1.5
Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 473.31 |===================================================================
b . 472.86 |===================================================================
Neural Magic DeepSparse 1.5
Model: BERT-Large, NLP Question Answering - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 9.3034 |===================================================================
b . 9.3103 |===================================================================
Neural Magic DeepSparse 1.5
Model: BERT-Large, NLP Question Answering - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 107.48 |===================================================================
b . 107.40 |===================================================================
Neural Magic DeepSparse 1.5
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 124.47 |===================================================================
b . 124.73 |===================================================================
Neural Magic DeepSparse 1.5
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 48.18 |====================================================================
b . 48.07 |====================================================================
Neural Magic DeepSparse 1.5
Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 85.52 |====================================================================
b . 85.40 |====================================================================
Neural Magic DeepSparse 1.5
Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 11.69 |====================================================================
b . 11.70 |====================================================================
Neural Magic DeepSparse 1.5
Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 56.45 |====================================================================
b . 56.34 |====================================================================
Neural Magic DeepSparse 1.5
Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 106.27 |===================================================================
b . 106.37 |===================================================================
Neural Magic DeepSparse 1.5
Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 46.71 |====================================================================
b . 46.68 |====================================================================
Neural Magic DeepSparse 1.5
Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 21.40 |====================================================================
b . 21.42 |====================================================================
Neural Magic DeepSparse 1.5
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 86.32 |====================================================================
b . 86.34 |====================================================================
Neural Magic DeepSparse 1.5
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 69.49 |====================================================================
b . 69.47 |====================================================================
Neural Magic DeepSparse 1.5
Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 63.84 |====================================================================
b . 64.03 |====================================================================
Neural Magic DeepSparse 1.5
Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 15.66 |====================================================================
b . 15.61 |====================================================================
Neural Magic DeepSparse 1.5
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 12.24 |====================================================================
b . 12.31 |====================================================================
Neural Magic DeepSparse 1.5
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 490.27 |===================================================================
b . 487.56 |===================================================================
Neural Magic DeepSparse 1.5
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 11.21 |====================================================================
b . 11.20 |====================================================================
Neural Magic DeepSparse 1.5
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 89.21 |====================================================================
b . 89.24 |====================================================================
Neural Magic DeepSparse 1.5
Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 126.61 |===================================================================
b . 126.90 |===================================================================
Neural Magic DeepSparse 1.5
Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 47.32 |====================================================================
b . 47.24 |====================================================================
Neural Magic DeepSparse 1.5
Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 57.34 |====================================================================
b . 57.54 |====================================================================
Neural Magic DeepSparse 1.5
Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 17.43 |====================================================================
b . 17.37 |====================================================================
Neural Magic DeepSparse 1.5
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 43.76 |====================================================================
b . 44.04 |====================================================================
Neural Magic DeepSparse 1.5
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 137.09 |===================================================================
b . 136.22 |===================================================================
Neural Magic DeepSparse 1.5
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 32.15 |====================================================================
b . 32.32 |====================================================================
Neural Magic DeepSparse 1.5
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 31.10 |====================================================================
b . 30.94 |====================================================================
Neural Magic DeepSparse 1.5
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 9.9597 |===================================================================
b . 9.9696 |===================================================================
Neural Magic DeepSparse 1.5
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 602.37 |===================================================================
b . 600.87 |===================================================================
Neural Magic DeepSparse 1.5
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 8.1486 |===================================================================
b . 8.1412 |===================================================================
Neural Magic DeepSparse 1.5
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 122.71 |===================================================================
b . 122.83 |===================================================================
nginx 1.23.2
Connections: 100
Requests Per Second > Higher Is Better
a . 79156.02 |=================================================================
b . 78192.19 |================================================================
nginx 1.23.2
Connections: 200
Requests Per Second > Higher Is Better
a . 76304.80 |=================================================================
b . 76041.37 |=================================================================
nginx 1.23.2
Connections: 500
Requests Per Second > Higher Is Better
a . 72766.53 |=================================================================
b . 72403.86 |=================================================================
nginx 1.23.2
Connections: 1000
Requests Per Second > Higher Is Better
a . 63534.92 |=================================================================
b . 62870.64 |================================================================
oneDNN 3.3
Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 4.76396 |==================================================================
b . 4.72080 |=================================================================
oneDNN 3.3
Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 10.64 |=================================================================
b . 11.20 |====================================================================
oneDNN 3.3
Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 1.87701 |==================================================================
b . 1.79957 |===============================================================
oneDNN 3.3
Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 0.893574 |==============================================================
b . 0.931971 |=================================================================
oneDNN 3.3
Harness: IP Shapes 1D - 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: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 22.35 |====================================================================
b . 22.38 |====================================================================
oneDNN 3.3
Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 7.40470 |=================================================================
b . 7.51062 |==================================================================
oneDNN 3.3
Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 5.39869 |==================================================================
b . 5.37146 |==================================================================
oneDNN 3.3
Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 23.94 |===================================================================
b . 24.18 |====================================================================
oneDNN 3.3
Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 2.47724 |==================================================================
b . 2.46296 |==================================================================
oneDNN 3.3
Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 3.44831 |==================================================================
b . 3.47437 |==================================================================
oneDNN 3.3
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 3936.51 |==================================================================
b . 3965.21 |==================================================================
oneDNN 3.3
Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 2418.33 |==================================================================
b . 2414.21 |==================================================================
oneDNN 3.3
Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 3923.99 |=================================================================
b . 3959.79 |==================================================================
oneDNN 3.3
Harness: Convolution Batch Shapes Auto - 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: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
oneDNN 3.3
Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 2410.82 |==================================================================
b . 2405.08 |==================================================================
oneDNN 3.3
Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
a . 3937.24 |=================================================================
b . 3967.68 |==================================================================
oneDNN 3.3
Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
a . 2409.49 |==================================================================
b . 2412.87 |==================================================================
OpenRadioss 2023.09.15
Model: Bumper Beam
Seconds < Lower Is Better
a . 131.78 |===================================================================
b . 131.94 |===================================================================
OpenRadioss 2023.09.15
Model: Chrysler Neon 1M
Seconds < Lower Is Better
a . 1612.17 |==================================================================
b . 1610.50 |==================================================================
OpenRadioss 2023.09.15
Model: Cell Phone Drop Test
Seconds < Lower Is Better
a . 98.05 |====================================================================
b . 97.70 |====================================================================
OpenRadioss 2023.09.15
Model: Bird Strike on Windshield
Seconds < Lower Is Better
a . 272.77 |===================================================================
b . 272.42 |===================================================================
OpenRadioss 2023.09.15
Model: Rubber O-Ring Seal Installation
Seconds < Lower Is Better
a . 134.16 |===================================================================
b . 134.76 |===================================================================
OpenRadioss 2023.09.15
Model: INIVOL and Fluid Structure Interaction Drop Container
Seconds < Lower Is Better
a . 600.03 |===================================================================
b . 599.25 |===================================================================
OpenVINO 2023.2.dev
Model: Face Detection FP16 - Device: CPU
FPS > Higher Is Better
a . 3.14 |=====================================================================
b . 3.14 |=====================================================================
OpenVINO 2023.2.dev
Model: Face Detection FP16 - Device: CPU
ms < Lower Is Better
a . 1907.31 |==================================================================
b . 1894.17 |==================================================================
OpenVINO 2023.2.dev
Model: Person Detection FP16 - Device: CPU
FPS > Higher Is Better
a . 24.67 |====================================================================
b . 24.42 |===================================================================
OpenVINO 2023.2.dev
Model: Person Detection FP16 - Device: CPU
ms < Lower Is Better
a . 242.85 |==================================================================
b . 245.33 |===================================================================
OpenVINO 2023.2.dev
Model: Person Detection FP32 - Device: CPU
FPS > Higher Is Better
a . 24.7 |=====================================================================
b . 24.3 |====================================================================
OpenVINO 2023.2.dev
Model: Person Detection FP32 - Device: CPU
ms < Lower Is Better
a . 242.84 |==================================================================
b . 246.67 |===================================================================
OpenVINO 2023.2.dev
Model: Vehicle Detection FP16 - Device: CPU
FPS > Higher Is Better
a . 150.52 |===================================================================
b . 149.62 |===================================================================
OpenVINO 2023.2.dev
Model: Vehicle Detection FP16 - Device: CPU
ms < Lower Is Better
a . 39.83 |====================================================================
b . 40.08 |====================================================================
OpenVINO 2023.2.dev
Model: Face Detection FP16-INT8 - Device: CPU
FPS > Higher Is Better
a . 4.3 |======================================================================
b . 4.3 |======================================================================
OpenVINO 2023.2.dev
Model: Face Detection FP16-INT8 - Device: CPU
ms < Lower Is Better
a . 1389.42 |==================================================================
b . 1388.86 |==================================================================
OpenVINO 2023.2.dev
Model: Face Detection Retail FP16 - Device: CPU
FPS > Higher Is Better
a . 674.92 |===================================================================
b . 678.10 |===================================================================
OpenVINO 2023.2.dev
Model: Face Detection Retail FP16 - Device: CPU
ms < Lower Is Better
a . 8.87 |=====================================================================
b . 8.83 |=====================================================================
OpenVINO 2023.2.dev
Model: Road Segmentation ADAS FP16 - Device: CPU
FPS > Higher Is Better
a . 39.08 |====================================================================
b . 39.27 |====================================================================
OpenVINO 2023.2.dev
Model: Road Segmentation ADAS FP16 - Device: CPU
ms < Lower Is Better
a . 153.43 |===================================================================
b . 152.68 |===================================================================
OpenVINO 2023.2.dev
Model: Vehicle Detection FP16-INT8 - Device: CPU
FPS > Higher Is Better
a . 354.56 |===================================================================
b . 354.06 |===================================================================
OpenVINO 2023.2.dev
Model: Vehicle Detection FP16-INT8 - Device: CPU
ms < Lower Is Better
a . 16.91 |====================================================================
b . 16.93 |====================================================================
OpenVINO 2023.2.dev
Model: Weld Porosity Detection FP16 - Device: CPU
FPS > Higher Is Better
a . 302.35 |===================================================================
b . 303.21 |===================================================================
OpenVINO 2023.2.dev
Model: Weld Porosity Detection FP16 - Device: CPU
ms < Lower Is Better
a . 19.82 |====================================================================
b . 19.76 |====================================================================
OpenVINO 2023.2.dev
Model: Face Detection Retail FP16-INT8 - Device: CPU
FPS > Higher Is Better
a . 1065.97 |==================================================================
b . 1067.32 |==================================================================
OpenVINO 2023.2.dev
Model: Face Detection Retail FP16-INT8 - Device: CPU
ms < Lower Is Better
a . 5.62 |=====================================================================
b . 5.61 |=====================================================================
OpenVINO 2023.2.dev
Model: Road Segmentation ADAS FP16-INT8 - Device: CPU
FPS > Higher Is Better
a . 158.63 |===================================================================
b . 158.31 |===================================================================
OpenVINO 2023.2.dev
Model: Road Segmentation ADAS FP16-INT8 - Device: CPU
ms < Lower Is Better
a . 37.79 |====================================================================
b . 37.87 |====================================================================
OpenVINO 2023.2.dev
Model: Machine Translation EN To DE FP16 - Device: CPU
FPS > Higher Is Better
a . 34.38 |===================================================================
b . 34.87 |====================================================================
OpenVINO 2023.2.dev
Model: Machine Translation EN To DE FP16 - Device: CPU
ms < Lower Is Better
a . 174.33 |===================================================================
b . 171.89 |==================================================================
OpenVINO 2023.2.dev
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
FPS > Higher Is Better
a . 424.82 |===================================================================
b . 425.10 |===================================================================
OpenVINO 2023.2.dev
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
ms < Lower Is Better
a . 28.23 |====================================================================
b . 28.21 |====================================================================
OpenVINO 2023.2.dev
Model: Person Vehicle Bike Detection FP16 - Device: CPU
FPS > Higher Is Better
a . 328.80 |===================================================================
b . 325.14 |==================================================================
OpenVINO 2023.2.dev
Model: Person Vehicle Bike Detection FP16 - Device: CPU
ms < Lower Is Better
a . 18.23 |===================================================================
b . 18.44 |====================================================================
OpenVINO 2023.2.dev
Model: Handwritten English Recognition FP16 - Device: CPU
FPS > Higher Is Better
a . 129.11 |==================================================================
b . 130.15 |===================================================================
OpenVINO 2023.2.dev
Model: Handwritten English Recognition FP16 - Device: CPU
ms < Lower Is Better
a . 92.88 |====================================================================
b . 92.11 |===================================================================
OpenVINO 2023.2.dev
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
FPS > Higher Is Better
a . 9800.16 |==================================================================
b . 9776.02 |==================================================================
OpenVINO 2023.2.dev
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
ms < Lower Is Better
a . 1.22 |=====================================================================
b . 1.22 |=====================================================================
OpenVINO 2023.2.dev
Model: Handwritten English Recognition FP16-INT8 - Device: CPU
FPS > Higher Is Better
a . 134.26 |===================================================================
b . 134.30 |===================================================================
OpenVINO 2023.2.dev
Model: Handwritten English Recognition FP16-INT8 - Device: CPU
ms < Lower Is Better
a . 89.28 |====================================================================
b . 89.31 |====================================================================
OpenVINO 2023.2.dev
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
FPS > Higher Is Better
a . 14175.70 |=================================================================
b . 14139.29 |=================================================================
OpenVINO 2023.2.dev
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
ms < Lower Is Better
a . 0.84 |=====================================================================
b . 0.84 |=====================================================================
OpenVKL 2.0.0
Benchmark: vklBenchmarkCPU ISPC
Items / Sec > Higher Is Better
a . 230 |======================================================================
b . 230 |======================================================================
OpenVKL 2.0.0
Benchmark: vklBenchmarkCPU Scalar
Items / Sec > Higher Is Better
a . 125 |=====================================================================
b . 126 |======================================================================
Opus Codec Encoding 1.4
WAV To Opus Encode
Seconds < Lower Is Better
a . 29.93 |====================================================================
b . 29.64 |===================================================================
OSPRay 2.12
Benchmark: particle_volume/ao/real_time
Items Per Second > Higher Is Better
a . 3.83843 |==================================================================
b . 3.84180 |==================================================================
OSPRay 2.12
Benchmark: particle_volume/scivis/real_time
Items Per Second > Higher Is Better
a . 3.79088 |==================================================================
b . 3.79143 |==================================================================
OSPRay 2.12
Benchmark: particle_volume/pathtracer/real_time
Items Per Second > Higher Is Better
a . 111.96 |===================================================================
b . 110.47 |==================================================================
OSPRay 2.12
Benchmark: gravity_spheres_volume/dim_512/ao/real_time
Items Per Second > Higher Is Better
a . 1.94041 |=================================================================
b . 1.95769 |==================================================================
OSPRay 2.12
Benchmark: gravity_spheres_volume/dim_512/scivis/real_time
Items Per Second > Higher Is Better
a . 1.82533 |==================================================================
b . 1.83527 |==================================================================
OSPRay 2.12
Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time
Items Per Second > Higher Is Better
a . 3.07954 |==================================================================
b . 3.07569 |==================================================================
OSPRay Studio 0.13
Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 10796 |====================================================================
b . 10809 |====================================================================
OSPRay Studio 0.13
Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 11044 |====================================================================
b . 11022 |====================================================================
OSPRay Studio 0.13
Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 12790 |====================================================================
b . 12792 |====================================================================
OSPRay Studio 0.13
Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 178923 |===================================================================
b . 179435 |===================================================================
OSPRay Studio 0.13
Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 354104 |===================================================================
b . 352945 |===================================================================
OSPRay Studio 0.13
Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 182398 |===================================================================
b . 182424 |===================================================================
OSPRay Studio 0.13
Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 359981 |===================================================================
b . 359095 |===================================================================
OSPRay Studio 0.13
Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 210828 |==================================================================
b . 213159 |===================================================================
OSPRay Studio 0.13
Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 415946 |===================================================================
b . 415202 |===================================================================
OSPRay Studio 0.13
Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 2712 |=====================================================================
b . 2718 |=====================================================================
OSPRay Studio 0.13
Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 2773 |=====================================================================
b . 2762 |=====================================================================
OSPRay Studio 0.13
Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 3222 |=====================================================================
b . 3213 |=====================================================================
OSPRay Studio 0.13
Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 49808 |====================================================================
b . 49490 |====================================================================
OSPRay Studio 0.13
Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 92700 |====================================================================
b . 93216 |====================================================================
OSPRay Studio 0.13
Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 50479 |====================================================================
b . 50427 |====================================================================
OSPRay Studio 0.13
Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 94954 |====================================================================
b . 94957 |====================================================================
OSPRay Studio 0.13
Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 57406 |====================================================================
b . 57662 |====================================================================
OSPRay Studio 0.13
Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 108963 |===================================================================
b . 108921 |===================================================================
Palabos 2.3
Grid Size: 100
Mega Site Updates Per Second > Higher Is Better
a . 40.84 |====================================================================
b . 40.65 |====================================================================
PostgreSQL 16
Scaling Factor: 100 - Clients: 1000 - Mode: Read Only
TPS > Higher Is Better
a . 492881 |================================================================
b . 513618 |===================================================================
PostgreSQL 16
Scaling Factor: 100 - Clients: 1000 - Mode: Read Only - Average Latency
ms < Lower Is Better
a . 2.029 |====================================================================
b . 1.947 |=================================================================
PostgreSQL 16
Scaling Factor: 100 - Clients: 1000 - Mode: Read Write
TPS > Higher Is Better
a . 9823 |=====================================================================
b . 9833 |=====================================================================
PostgreSQL 16
Scaling Factor: 100 - Clients: 1000 - Mode: Read Write - Average Latency
ms < Lower Is Better
a . 101.80 |===================================================================
b . 101.70 |===================================================================
QMCPACK 3.17.1
Input: H4_ae
Total Execution Time - Seconds < Lower Is Better
a . 24.37 |====================================================================
b . 23.60 |==================================================================
QMCPACK 3.17.1
Input: Li2_STO_ae
Total Execution Time - Seconds < Lower Is Better
a . 229.86 |===================================================================
b . 231.53 |===================================================================
QMCPACK 3.17.1
Input: LiH_ae_MSD
Total Execution Time - Seconds < Lower Is Better
a . 111.68 |===================================================================
b . 108.69 |=================================================================
QMCPACK 3.17.1
Input: simple-H2O
Total Execution Time - Seconds < Lower Is Better
a . 26.11 |===================================================================
b . 26.33 |====================================================================
QMCPACK 3.17.1
Input: O_ae_pyscf_UHF
Total Execution Time - Seconds < Lower Is Better
a . 185.19 |===================================================================
b . 186.52 |===================================================================
QMCPACK 3.17.1
Input: FeCO6_b3lyp_gms
Total Execution Time - Seconds < Lower Is Better
a . 169.28 |===================================================================
b . 169.43 |===================================================================
QuantLib 1.32
Configuration: Multi-Threaded
MFLOPS > Higher Is Better
a . 42432.3 |==================================================================
b . 42491.7 |==================================================================
QuantLib 1.32
Configuration: Single-Threaded
MFLOPS > Higher Is Better
a . 3064.1 |===================================================================
b . 3055.5 |===================================================================
SQLite 3.41.2
Threads / Copies: 1
Seconds < Lower Is Better
a . 15.16 |====================================================================
b . 15.27 |====================================================================
SQLite 3.41.2
Threads / Copies: 2
Seconds < Lower Is Better
a . 26.11 |=========================================
b . 43.17 |====================================================================
SQLite 3.41.2
Threads / Copies: 4
Seconds < Lower Is Better
a . 31.24 |================================
b . 66.30 |====================================================================
SQLite 3.41.2
Threads / Copies: 8
Seconds < Lower Is Better
a . 46.35 |====================
b . 153.75 |===================================================================
srsRAN Project 23.5
Test: Downlink Processor Benchmark
Mbps > Higher Is Better
a . 824.7 |====================================================================
b . 800.9 |==================================================================
srsRAN Project 23.5
Test: PUSCH Processor Benchmark, Throughput Total
Mbps > Higher Is Better
a . 2003.6 |===================================================================
b . 1999.6 |===================================================================
srsRAN Project 23.5
Test: PUSCH Processor Benchmark, Throughput Thread
Mbps > Higher Is Better
a . 245.5 |====================================================================
b . 245.1 |====================================================================
Stress-NG 0.16.04
Test: Hash
Bogo Ops/s > Higher Is Better
a . 2849944.32 |===============================================================
b . 2861814.33 |===============================================================
Stress-NG 0.16.04
Test: MMAP
Bogo Ops/s > Higher Is Better
a . 169.42 |===================================================================
b . 168.18 |===================================================================
Stress-NG 0.16.04
Test: NUMA
Bogo Ops/s > Higher Is Better
a . 134.28 |===================================================================
b . 134.69 |===================================================================
Stress-NG 0.16.04
Test: Pipe
Bogo Ops/s > Higher Is Better
a . 5085408.46 |==============================================================
b . 5137270.21 |===============================================================
Stress-NG 0.16.04
Test: Poll
Bogo Ops/s > Higher Is Better
a . 1274815.51 |===============================================================
b . 1269594.39 |===============================================================
Stress-NG 0.16.04
Test: Zlib
Bogo Ops/s > Higher Is Better
a . 1529.17 |==================================================================
b . 1536.76 |==================================================================
Stress-NG 0.16.04
Test: Futex
Bogo Ops/s > Higher Is Better
a . 2719437.33 |===============================================================
b . 2724951.63 |===============================================================
Stress-NG 0.16.04
Test: MEMFD
Bogo Ops/s > Higher Is Better
a . 167.93 |=================================================================
b . 173.10 |===================================================================
Stress-NG 0.16.04
Test: Mutex
Bogo Ops/s > Higher Is Better
a . 3757618.65 |===============================================================
b . 3763560.06 |===============================================================
Stress-NG 0.16.04
Test: Atomic
Bogo Ops/s > Higher Is Better
a . 546.82 |===================================================================
b . 550.80 |===================================================================
Stress-NG 0.16.04
Test: Crypto
Bogo Ops/s > Higher Is Better
a . 30063.86 |=================================================================
b . 30023.08 |=================================================================
Stress-NG 0.16.04
Test: Malloc
Bogo Ops/s > Higher Is Better
a . 6492227.26 |===============================================================
b . 6507116.41 |===============================================================
Stress-NG 0.16.04
Test: Cloning
Bogo Ops/s > Higher Is Better
a . 876.55 |===================================================================
b . 876.19 |===================================================================
Stress-NG 0.16.04
Test: Forking
Bogo Ops/s > Higher Is Better
a . 25858.27 |================================================================
b . 26129.74 |=================================================================
Stress-NG 0.16.04
Test: Pthread
Bogo Ops/s > Higher Is Better
a . 112428.11 |================================================================
b . 112860.19 |================================================================
Stress-NG 0.16.04
Test: AVL Tree
Bogo Ops/s > Higher Is Better
a . 116.18 |===================================================================
b . 116.68 |===================================================================
Stress-NG 0.16.04
Test: IO_uring
Bogo Ops/s > Higher Is Better
a . 151644.87 |================================================================
b . 147373.62 |==============================================================
Stress-NG 0.16.04
Test: SENDFILE
Bogo Ops/s > Higher Is Better
a . 127691.03 |================================================================
b . 127965.64 |================================================================
Stress-NG 0.16.04
Test: CPU Cache
Bogo Ops/s > Higher Is Better
a . 1265046.60 |==============================================================
b . 1276371.48 |===============================================================
Stress-NG 0.16.04
Test: CPU Stress
Bogo Ops/s > Higher Is Better
a . 31748.06 |=================================================================
b . 30131.49 |==============================================================
Stress-NG 0.16.04
Test: Semaphores
Bogo Ops/s > Higher Is Better
a . 14365053.84 |==============================================================
b . 14280745.55 |==============================================================
Stress-NG 0.16.04
Test: Matrix Math
Bogo Ops/s > Higher Is Better
a . 76846.98 |================================================================
b . 77971.11 |=================================================================
Stress-NG 0.16.04
Test: Vector Math
Bogo Ops/s > Higher Is Better
a . 87181.78 |=================================================================
b . 87270.26 |=================================================================
Stress-NG 0.16.04
Test: AVX-512 VNNI
Bogo Ops/s > Higher Is Better
a . 527354.87 |================================================================
b . 528272.84 |================================================================
Stress-NG 0.16.04
Test: Function Call
Bogo Ops/s > Higher Is Better
a . 9373.74 |=================================================================
b . 9463.10 |==================================================================
Stress-NG 0.16.04
Test: x86_64 RdRand
Bogo Ops/s > Higher Is Better
a . 6422.15 |==================================================================
b . 6421.87 |==================================================================
Stress-NG 0.16.04
Test: Floating Point
Bogo Ops/s > Higher Is Better
a . 4282.52 |==================================================================
b . 4272.51 |==================================================================
Stress-NG 0.16.04
Test: Matrix 3D Math
Bogo Ops/s > Higher Is Better
a . 887.15 |===================================================================
b . 871.12 |==================================================================
Stress-NG 0.16.04
Test: Memory Copying
Bogo Ops/s > Higher Is Better
a . 3721.25 |==================================================================
b . 3725.74 |==================================================================
Stress-NG 0.16.04
Test: Vector Shuffle
Bogo Ops/s > Higher Is Better
a . 8782.71 |==================================================================
b . 8803.33 |==================================================================
Stress-NG 0.16.04
Test: Mixed Scheduler
Bogo Ops/s > Higher Is Better
a . 8305.74 |==================================================================
b . 8320.26 |==================================================================
Stress-NG 0.16.04
Test: Socket Activity
Bogo Ops/s > Higher Is Better
a . 7209.11 |==================================================================
b . 7240.74 |==================================================================
Stress-NG 0.16.04
Test: Wide Vector Math
Bogo Ops/s > Higher Is Better
a . 587699.43 |================================================================
b . 584000.31 |================================================================
Stress-NG 0.16.04
Test: Context Switching
Bogo Ops/s > Higher Is Better
a . 2670705.05 |===============================================================
b . 2690991.53 |===============================================================
Stress-NG 0.16.04
Test: Fused Multiply-Add
Bogo Ops/s > Higher Is Better
a . 13209967.50 |==============================================================
b . 13224332.05 |==============================================================
Stress-NG 0.16.04
Test: Vector Floating Point
Bogo Ops/s > Higher Is Better
a . 35283.23 |=================================================================
b . 35339.57 |=================================================================
Stress-NG 0.16.04
Test: Glibc C String Functions
Bogo Ops/s > Higher Is Better
a . 13058517.39 |==============================================================
b . 12751183.72 |=============================================================
Stress-NG 0.16.04
Test: Glibc Qsort Data Sorting
Bogo Ops/s > Higher Is Better
a . 370.88 |===================================================================
b . 370.05 |===================================================================
Stress-NG 0.16.04
Test: System V Message Passing
Bogo Ops/s > Higher Is Better
a . 8498512.20 |===============================================================
b . 8490199.38 |===============================================================
SVT-AV1 1.7
Encoder Mode: Preset 4 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 3.150 |====================================================================
b . 3.109 |===================================================================
SVT-AV1 1.7
Encoder Mode: Preset 8 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 43.19 |====================================================================
b . 43.19 |====================================================================
SVT-AV1 1.7
Encoder Mode: Preset 12 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 92.08 |===================================================================
b . 93.28 |====================================================================
SVT-AV1 1.7
Encoder Mode: Preset 13 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 92.64 |====================================================================
b . 91.62 |===================================================================
SVT-AV1 1.7
Encoder Mode: Preset 4 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 8.875 |====================================================================
b . 8.897 |====================================================================
SVT-AV1 1.7
Encoder Mode: Preset 8 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 80.61 |====================================================================
b . 79.87 |===================================================================
SVT-AV1 1.7
Encoder Mode: Preset 12 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 352.04 |===================================================================
b . 350.35 |===================================================================
SVT-AV1 1.7
Encoder Mode: Preset 13 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 397.45 |===================================================================
b . 394.02 |==================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 16 - Model: ResNet-50
images/sec > Higher Is Better
a . 10.21 |===================================================================
b . 10.29 |====================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 32 - Model: ResNet-50
images/sec > Higher Is Better
a . 10.05 |====================================================================
b . 10.06 |====================================================================
Timed GCC Compilation 13.2
Time To Compile
Seconds < Lower Is Better
a . 1095.02 |==================================================================
b . 1094.51 |==================================================================
Timed Gem5 Compilation 23.0.1
Time To Compile
Seconds < Lower Is Better
a . 460.89 |===================================================================
b . 457.20 |==================================================================
Timed Godot Game Engine Compilation 4.0
Time To Compile
Seconds < Lower Is Better
a . 281.55 |===================================================================
b . 281.71 |===================================================================
Timed LLVM Compilation 16.0
Build System: Ninja
Seconds < Lower Is Better
a . 573.50 |===================================================================
b . 575.03 |===================================================================
Timed LLVM Compilation 16.0
Build System: Unix Makefiles
Seconds < Lower Is Better
a . 591.05 |==================================================================
b . 600.28 |===================================================================
Timed Node.js Compilation 19.8.1
Time To Compile
Seconds < Lower Is Better
b . 468.62 |===================================================================
VVenC 1.9
Video Input: Bosphorus 4K - Video Preset: Fast
Frames Per Second > Higher Is Better
a . 4.422 |====================================================================
b . 4.415 |====================================================================
VVenC 1.9
Video Input: Bosphorus 4K - Video Preset: Faster
Frames Per Second > Higher Is Better
a . 9.018 |====================================================================
b . 9.051 |====================================================================
VVenC 1.9
Video Input: Bosphorus 1080p - Video Preset: Fast
Frames Per Second > Higher Is Better
a . 14.14 |====================================================================
b . 14.09 |====================================================================
VVenC 1.9
Video Input: Bosphorus 1080p - Video Preset: Faster
Frames Per Second > Higher Is Better
a . 28.39 |====================================================================
b . 28.41 |====================================================================
Whisper.cpp 1.4
Model: ggml-base.en - Input: 2016 State of the Union
Seconds < Lower Is Better
a . 160.66 |===================================================================
b . 159.87 |===================================================================
Whisper.cpp 1.4
Model: ggml-small.en - Input: 2016 State of the Union
Seconds < Lower Is Better
a . 475.27 |===================================================================
b . 471.32 |==================================================================
Whisper.cpp 1.4
Model: ggml-medium.en - Input: 2016 State of the Union
Seconds < Lower Is Better
a . 1447.54 |=================================================================
b . 1472.87 |==================================================================
Z3 Theorem Prover 4.12.1
SMT File: 1.smt2
Seconds < Lower Is Better
a . 29.48 |====================================================================
b . 29.33 |====================================================================
Z3 Theorem Prover 4.12.1
SMT File: 2.smt2
Seconds < Lower Is Better
a . 75.48 |===================================================================
b . 76.66 |====================================================================