Intel Core i5-12600K testing with a ASUS PRIME Z690-P WIFI D4 (0605 BIOS) and ASUS Intel ADL-S GT1 15GB 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 2310299-PTS-OKTOBERF29
oktoberfest
Intel Core i5-12600K testing with a ASUS PRIME Z690-P WIFI D4 (0605 BIOS) and ASUS Intel ADL-S GT1 15GB on Ubuntu 22.04 via the Phoronix Test Suite.
a:
Processor: Intel Core i5-12600K @ 6.30GHz (10 Cores / 16 Threads), Motherboard: ASUS PRIME Z690-P WIFI D4 (0605 BIOS), Chipset: Intel Device 7aa7, Memory: 16GB, Disk: 1000GB Western Digital WDS100T1X0E-00AFY0, Graphics: ASUS Intel ADL-S GT1 15GB (1450MHz), Audio: Realtek ALC897, Monitor: ASUS MG28U, Network: Realtek RTL8125 2.5GbE + Intel Device 7af0
OS: Ubuntu 22.04, Kernel: 5.19.0-051900rc6daily20220716-generic (x86_64), Desktop: GNOME Shell 42.1, Display Server: X Server 1.21.1.3 + Wayland, OpenGL: 4.6 Mesa 22.0.1, OpenCL: OpenCL 3.0, Vulkan: 1.2.204, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 3840x2160
b:
Processor: Intel Core i5-12600K @ 6.30GHz (10 Cores / 16 Threads), Motherboard: ASUS PRIME Z690-P WIFI D4 (0605 BIOS), Chipset: Intel Device 7aa7, Memory: 16GB, Disk: 1000GB Western Digital WDS100T1X0E-00AFY0, Graphics: ASUS Intel ADL-S GT1 15GB (1450MHz), Audio: Realtek ALC897, Monitor: ASUS MG28U, Network: Realtek RTL8125 2.5GbE + Intel Device 7af0
OS: Ubuntu 22.04, Kernel: 5.19.0-051900rc6daily20220716-generic (x86_64), Desktop: GNOME Shell 42.1, Display Server: X Server 1.21.1.3 + Wayland, OpenGL: 4.6 Mesa 22.0.1, OpenCL: OpenCL 3.0, Vulkan: 1.2.204, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 3840x2160
Whisper.cpp 1.4
Model: ggml-medium.en - Input: 2016 State of the Union
Seconds < Lower Is Better
a . 2723.05 |==================================================================
b . 2736.77 |==================================================================
Blender 3.6
Blend File: Barbershop - Compute: CPU-Only
Seconds < Lower Is Better
a . 1237.27 |==================================================================
b . 1237.36 |==================================================================
Timed GCC Compilation 13.2
Time To Compile
Seconds < Lower Is Better
a . 918.83 |===================================================================
b . 918.94 |===================================================================
BRL-CAD 7.36
VGR Performance Metric
VGR Performance Metric > Higher Is Better
a . 215292 |===================================================================
b . 215193 |===================================================================
Whisper.cpp 1.4
Model: ggml-small.en - Input: 2016 State of the Union
Seconds < Lower Is Better
a . 820.20 |===================================================================
b . 818.91 |===================================================================
OpenRadioss 2023.09.15
Model: INIVOL and Fluid Structure Interaction Drop Container
Seconds < Lower Is Better
a . 717.69 |===================================================================
b . 714.81 |===================================================================
OpenVKL 2.0.0
Benchmark: vklBenchmarkCPU Scalar
Items / Sec > Higher Is Better
a . 130 |======================================================================
b . 130 |======================================================================
OpenVKL 2.0.0
Benchmark: vklBenchmarkCPU ISPC
Items / Sec > Higher Is Better
a . 277 |======================================================================
b . 277 |======================================================================
nekRS 23.0
Input: Kershaw
flops/rank > Higher Is Better
a . 3261960000 |===============================================================
b . 3260840000 |===============================================================
QMCPACK 3.17.1
Input: Li2_STO_ae
Total Execution Time - Seconds < Lower Is Better
a . 445.38 |===================================================================
b . 445.23 |===================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 64 - Model: ResNet-50
images/sec > Higher Is Better
a . 17.81 |===================================================================
b . 17.95 |====================================================================
Blender 3.6
Blend File: Pabellon Barcelona - Compute: CPU-Only
Seconds < Lower Is Better
a . 385.70 |===================================================================
b . 385.91 |===================================================================
OSPRay Studio 0.13
Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 375733 |===================================================================
b . 375965 |===================================================================
nekRS 23.0
Input: TurboPipe Periodic
flops/rank > Higher Is Better
b . 4079830000 |===============================================================
OpenRadioss 2023.09.15
Model: Bird Strike on Windshield
Seconds < Lower Is Better
a . 347.26 |===================================================================
b . 342.50 |==================================================================
QMCPACK 3.17.1
Input: FeCO6_b3lyp_gms
Total Execution Time - Seconds < Lower Is Better
a . 341.81 |===================================================================
b . 338.60 |==================================================================
OSPRay Studio 0.13
Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 322602 |===================================================================
b . 322586 |===================================================================
OSPRay Studio 0.13
Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 316965 |===================================================================
b . 317047 |===================================================================
Blender 3.6
Blend File: Classroom - Compute: CPU-Only
Seconds < Lower Is Better
a . 316.24 |===================================================================
b . 316.35 |===================================================================
QMCPACK 3.17.1
Input: O_ae_pyscf_UHF
Total Execution Time - Seconds < Lower Is Better
a . 314.45 |===================================================================
b . 313.84 |===================================================================
Timed LLVM Compilation 16.0
Build System: Ninja
Seconds < Lower Is Better
DuckDB 0.9.1
Benchmark: IMDB
Seconds < Lower Is Better
a . 115.41 |===================================================================
OpenRadioss 2023.09.15
Model: Rubber O-Ring Seal Installation
Seconds < Lower Is Better
a . 283.82 |===================================================================
b . 283.06 |===================================================================
Timed LLVM Compilation 16.0
Build System: Unix Makefiles
Seconds < Lower Is Better
Timed Godot Game Engine Compilation 4.0
Time To Compile
Seconds < Lower Is Better
a . 323.86 |===================================================================
Whisper.cpp 1.4
Model: ggml-base.en - Input: 2016 State of the Union
Seconds < Lower Is Better
a . 244.73 |==================================================================
b . 246.69 |===================================================================
DuckDB 0.9.1
Benchmark: TPC-H Parquet
Seconds < Lower Is Better
a . 97.82 |====================================================================
OpenRadioss 2023.09.15
Model: Bumper Beam
Seconds < Lower Is Better
a . 222.32 |================================================================
b . 233.21 |===================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 32 - Model: ResNet-50
images/sec > Higher Is Better
a . 17.49 |====================================================================
b . 17.50 |====================================================================
QMCPACK 3.17.1
Input: LiH_ae_MSD
Total Execution Time - Seconds < Lower Is Better
a . 201.74 |===================================================================
b . 202.34 |===================================================================
OSPRay Studio 0.13
Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 189279 |===================================================================
b . 189045 |===================================================================
easyWave r34
Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200
Seconds < Lower Is Better
a . 185.88 |===================================================================
b . 186.00 |===================================================================
Timed Node.js Compilation 19.8.1
Time To Compile
Seconds < Lower Is Better
OSPRay 2.12
Benchmark: particle_volume/scivis/real_time
Items Per Second > Higher Is Better
a . 5.68706 |==================================================================
b . 5.70261 |==================================================================
OSPRay Studio 0.13
Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 162070 |===================================================================
b . 162754 |===================================================================
OSPRay Studio 0.13
Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 159663 |===================================================================
b . 159770 |===================================================================
High Performance Conjugate Gradient 3.1
X Y Z: 104 104 104 - RT: 60
GFLOP/s > Higher Is Better
a . 6.95045 |==================================================================
b . 6.96238 |==================================================================
OpenRadioss 2023.09.15
Model: Cell Phone Drop Test
Seconds < Lower Is Better
a . 157.04 |===================================================================
b . 152.73 |=================================================================
Blender 3.6
Blend File: Fishy Cat - Compute: CPU-Only
Seconds < Lower Is Better
a . 156.02 |===================================================================
b . 156.07 |===================================================================
OSPRay 2.12
Benchmark: particle_volume/pathtracer/real_time
Items Per Second > Higher Is Better
a . 140.44 |===================================================================
b . 140.59 |===================================================================
Neural Magic DeepSparse 1.5
Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 511.33 |===================================================================
b . 511.12 |===================================================================
Neural Magic DeepSparse 1.5
Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 9.656 |====================================================================
b . 9.679 |====================================================================
Build2 0.15
Time To Compile
Seconds < Lower Is Better
a . 137.60 |===================================================================
Apache Cassandra 4.1.3
Test: Writes
Op/s > Higher Is Better
a . 123080 |===================================================================
b . 122667 |===================================================================
libavif avifenc 1.0
Encoder Speed: 0
Seconds < Lower Is Better
a . 127.47 |===================================================================
b . 126.77 |===================================================================
libxsmm 2-1.17-3645
M N K: 128
GFLOPS/s > Higher Is Better
a . 247.5 |====================================================================
b . 248.0 |====================================================================
VVenC 1.9
Video Input: Bosphorus 4K - Video Preset: Fast
Frames Per Second > Higher Is Better
a . 4.931 |====================================================================
b . 4.912 |====================================================================
OSPRay 2.12
Benchmark: particle_volume/ao/real_time
Items Per Second > Higher Is Better
a . 5.74695 |==================================================================
b . 5.76091 |==================================================================
Palabos 2.3
Grid Size: 100
Mega Site Updates Per Second > Higher Is Better
a . 51.24 |====================================================================
b . 51.31 |====================================================================
Blender 3.6
Blend File: BMW27 - Compute: CPU-Only
Seconds < Lower Is Better
a . 112.43 |===================================================================
b . 112.12 |===================================================================
AOM AV1 3.7
Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 6.77 |=====================================================================
b . 6.77 |=====================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 16 - Model: ResNet-50
images/sec > Higher Is Better
a . 17.01 |====================================================================
b . 17.09 |====================================================================
OSPRay Studio 0.13
Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 96823 |====================================================================
b . 96957 |====================================================================
Neural Magic DeepSparse 1.5
Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 19.68 |==================================================================
b . 20.24 |====================================================================
Neural Magic DeepSparse 1.5
Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 50.78 |====================================================================
b . 49.40 |==================================================================
oneDNN 3.3
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 5530.13 |==================================================================
b . 4270.30 |===================================================
nginx 1.23.2
Connections: 1000
Requests Per Second > Higher Is Better
a . 82318.98 |=================================================================
b . 82032.62 |=================================================================
nginx 1.23.2
Connections: 500
Requests Per Second > Higher Is Better
a . 89266.33 |=================================================================
b . 88913.24 |=================================================================
Apache HTTP Server 2.4.56
Concurrent Requests: 1000
Requests Per Second > Higher Is Better
a . 120445.38 |================================================================
b . 119665.35 |================================================================
Apache HTTP Server 2.4.56
Concurrent Requests: 500
Requests Per Second > Higher Is Better
a . 119690.62 |===============================================================
b . 121041.48 |================================================================
nginx 1.23.2
Connections: 200
Requests Per Second > Higher Is Better
a . 102547.95 |================================================================
b . 102479.68 |================================================================
Apache HTTP Server 2.4.56
Concurrent Requests: 200
Requests Per Second > Higher Is Better
a . 140860.12 |================================================================
b . 140213.08 |================================================================
nginx 1.23.2
Connections: 100
Requests Per Second > Higher Is Better
a . 108258.46 |================================================================
b . 107751.55 |================================================================
Apache HTTP Server 2.4.56
Concurrent Requests: 100
Requests Per Second > Higher Is Better
a . 148966.44 |================================================================
b . 145590.45 |===============================================================
OSPRay Studio 0.13
Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 83367 |====================================================================
b . 83406 |====================================================================
Intel Open Image Denoise 2.1
Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only
Images / Sec > Higher Is Better
a . 0.34 |=====================================================================
b . 0.34 |=====================================================================
OSPRay Studio 0.13
Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 9910 |=====================================================================
b . 9901 |=====================================================================
OSPRay Studio 0.13
Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 82003 |====================================================================
b . 82116 |====================================================================
OSPRay Studio 0.13
Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 9734 |=====================================================================
b . 9716 |=====================================================================
Neural Magic DeepSparse 1.5
Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 43.64 |====================================================================
b . 43.66 |====================================================================
Neural Magic DeepSparse 1.5
Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 114.52 |===================================================================
b . 114.29 |===================================================================
AOM AV1 3.7
Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 0.24 |=====================================================================
b . 0.24 |=====================================================================
Palabos 2.3
Grid Size: 400
Mega Site Updates Per Second > Higher Is Better
a . 76.76 |====================================================================
b . 76.59 |====================================================================
oneDNN 3.3
Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 2636.78 |==================================================================
b . 2167.50 |======================================================
Neural Magic DeepSparse 1.5
Model: BERT-Large, NLP Question Answering - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 122.77 |===================================================================
b . 122.72 |===================================================================
Neural Magic DeepSparse 1.5
Model: BERT-Large, NLP Question Answering - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 8.1450 |===================================================================
b . 8.1485 |===================================================================
OSPRay 2.12
Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time
Items Per Second > Higher Is Better
a . 3.88095 |==================================================================
b . 3.86334 |==================================================================
OSPRay Studio 0.13
Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 2912 |=====================================================================
b . 2916 |=====================================================================
OSPRay Studio 0.13
Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 2456 |=====================================================================
b . 2457 |=====================================================================
OSPRay Studio 0.13
Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 2499 |=====================================================================
b . 2496 |=====================================================================
NCNN 20230517
Target: CPU - Model: FastestDet
ms < Lower Is Better
a . 3.00 |===================================================================
b . 3.09 |=====================================================================
NCNN 20230517
Target: CPU - Model: vision_transformer
ms < Lower Is Better
a . 100.28 |===================================================================
b . 95.33 |================================================================
NCNN 20230517
Target: CPU - Model: regnety_400m
ms < Lower Is Better
a . 5.98 |====================================================================
b . 6.05 |=====================================================================
NCNN 20230517
Target: CPU - Model: squeezenet_ssd
ms < Lower Is Better
a . 6.86 |====================================================================
b . 6.99 |=====================================================================
NCNN 20230517
Target: CPU - Model: yolov4-tiny
ms < Lower Is Better
a . 16.64 |================================================================
b . 17.59 |====================================================================
NCNN 20230517
Target: CPU - Model: resnet50
ms < Lower Is Better
a . 12.77 |==================================================================
b . 13.15 |====================================================================
NCNN 20230517
Target: CPU - Model: alexnet
ms < Lower Is Better
a . 4.96 |===================================================================
b . 5.14 |=====================================================================
NCNN 20230517
Target: CPU - Model: resnet18
ms < Lower Is Better
a . 5.52 |=====================================================================
b . 5.50 |=====================================================================
NCNN 20230517
Target: CPU - Model: vgg16
ms < Lower Is Better
a . 37.31 |====================================================================
b . 36.62 |===================================================================
NCNN 20230517
Target: CPU - Model: googlenet
ms < Lower Is Better
a . 7.77 |=====================================================================
b . 7.73 |=====================================================================
NCNN 20230517
Target: CPU - Model: blazeface
ms < Lower Is Better
a . 0.75 |====================================================================
b . 0.76 |=====================================================================
NCNN 20230517
Target: CPU - Model: efficientnet-b0
ms < Lower Is Better
a . 4.87 |====================================================================
b . 4.91 |=====================================================================
NCNN 20230517
Target: CPU - Model: mnasnet
ms < Lower Is Better
a . 2.54 |===================================================================
b . 2.60 |=====================================================================
NCNN 20230517
Target: CPU - Model: shufflenet-v2
ms < Lower Is Better
a . 2.24 |====================================================================
b . 2.27 |=====================================================================
NCNN 20230517
Target: CPU-v3-v3 - Model: mobilenet-v3
ms < Lower Is Better
a . 2.38 |====================================================================
b . 2.41 |=====================================================================
NCNN 20230517
Target: CPU-v2-v2 - Model: mobilenet-v2
ms < Lower Is Better
a . 2.98 |==============================================================
b . 3.34 |=====================================================================
NCNN 20230517
Target: CPU - Model: mobilenet
ms < Lower Is Better
a . 10.24 |==================================================================
b . 10.54 |====================================================================
libxsmm 2-1.17-3645
M N K: 64
GFLOPS/s > Higher Is Better
a . 167.9 |====================================================================
b . 167.0 |====================================================================
Memcached 1.6.19
Set To Get Ratio: 1:100
Ops/sec > Higher Is Better
a . 3016454.90 |==============================================================
b . 3059379.28 |===============================================================
Memcached 1.6.19
Set To Get Ratio: 1:10
Ops/sec > Higher Is Better
a . 3279849.87 |===============================================================
b . 3183290.59 |=============================================================
Embree 4.3
Binary: Pathtracer - Model: Asian Dragon Obj
Frames Per Second > Higher Is Better
a . 13.51 |====================================================================
b . 13.48 |====================================================================
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 . 11.40 |====================================================================
b . 11.21 |===================================================================
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 . 87.65 |===================================================================
b . 89.12 |====================================================================
Z3 Theorem Prover 4.12.1
SMT File: 2.smt2
Seconds < Lower Is Better
a . 62.94 |====================================================================
b . 63.06 |====================================================================
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 . 22.41 |====================================================================
b . 22.35 |====================================================================
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 . 222.92 |===================================================================
b . 223.39 |===================================================================
Neural Magic DeepSparse 1.5
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 144.12 |===================================================================
b . 144.37 |===================================================================
Neural Magic DeepSparse 1.5
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 34.61 |====================================================================
b . 34.56 |====================================================================
libavif avifenc 1.0
Encoder Speed: 2
Seconds < Lower Is Better
a . 60.82 |====================================================================
b . 59.36 |==================================================================
libxsmm 2-1.17-3645
M N K: 32
GFLOPS/s > Higher Is Better
a . 96.3 |=====================================================================
b . 96.4 |=====================================================================
Neural Magic DeepSparse 1.5
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 586.67 |===================================================================
b . 589.15 |===================================================================
Neural Magic DeepSparse 1.5
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 8.4527 |===================================================================
b . 8.4551 |===================================================================
Embree 4.3
Binary: Pathtracer ISPC - Model: Asian Dragon Obj
Frames Per Second > Higher Is Better
a . 14.51 |====================================================================
b . 14.57 |====================================================================
Embree 4.3
Binary: Pathtracer - Model: Crown
Frames Per Second > Higher Is Better
a . 12.71 |====================================================================
b . 12.62 |====================================================================
Neural Magic DeepSparse 1.5
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 588.30 |==================================================================
b . 593.64 |===================================================================
Neural Magic DeepSparse 1.5
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 8.4541 |===================================================================
b . 8.3633 |==================================================================
VVenC 1.9
Video Input: Bosphorus 4K - Video Preset: Faster
Frames Per Second > Higher Is Better
a . 10.18 |====================================================================
b . 10.23 |====================================================================
Neural Magic DeepSparse 1.5
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 472.68 |==================================================================
b . 479.61 |===================================================================
Neural Magic DeepSparse 1.5
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 10.44 |====================================================================
b . 10.32 |===================================================================
OSPRay Studio 0.13
Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 49884 |====================================================================
b . 49910 |====================================================================
OSPRay Studio 0.13
Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 11549 |====================================================================
b . 11536 |====================================================================
Embree 4.3
Binary: Pathtracer ISPC - Model: Crown
Frames Per Second > Higher Is Better
a . 13.49 |====================================================================
b . 13.54 |====================================================================
AOM AV1 3.7
Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 14.25 |====================================================================
b . 14.26 |====================================================================
Embree 4.3
Binary: Pathtracer - Model: Asian Dragon
Frames Per Second > Higher Is Better
a . 14.97 |====================================================================
b . 14.91 |====================================================================
OSPRay Studio 0.13
Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 43199 |====================================================================
b . 43132 |====================================================================
OSPRay 2.12
Benchmark: gravity_spheres_volume/dim_512/ao/real_time
Items Per Second > Higher Is Better
a . 2.63693 |==================================================================
b . 2.63451 |==================================================================
OSPRay 2.12
Benchmark: gravity_spheres_volume/dim_512/scivis/real_time
Items Per Second > Higher Is Better
a . 2.55887 |==================================================================
b . 2.54893 |==================================================================
OSPRay Studio 0.13
Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 42656 |====================================================================
b . 42536 |====================================================================
SVT-AV1 1.7
Encoder Mode: Preset 4 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 3.475 |====================================================================
b . 3.455 |====================================================================
Embree 4.3
Binary: Pathtracer ISPC - Model: Asian Dragon
Frames Per Second > Higher Is Better
a . 16.66 |====================================================================
b . 16.69 |====================================================================
QMCPACK 3.17.1
Input: simple-H2O
Total Execution Time - Seconds < Lower Is Better
a . 43.89 |===================================================================
b . 44.36 |====================================================================
Neural Magic DeepSparse 1.5
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 35.37 |====================================================================
b . 35.56 |====================================================================
Neural Magic DeepSparse 1.5
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 28.27 |====================================================================
b . 28.12 |====================================================================
Neural Magic DeepSparse 1.5
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 102.64 |==================================================================
b . 103.75 |===================================================================
Neural Magic DeepSparse 1.5
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 9.7413 |===================================================================
b . 9.6372 |==================================================================
AOM AV1 3.7
Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 15.99 |====================================================================
b . 15.99 |====================================================================
Neural Magic DeepSparse 1.5
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 128.97 |===================================================================
b . 129.12 |===================================================================
Neural Magic DeepSparse 1.5
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 7.7535 |===================================================================
b . 7.7442 |===================================================================
Neural Magic DeepSparse 1.5
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 128.96 |===================================================================
b . 129.56 |===================================================================
Neural Magic DeepSparse 1.5
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 7.7540 |===================================================================
b . 7.7181 |===================================================================
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 . 164.22 |===================================================================
b . 163.32 |===================================================================
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 . 30.44 |====================================================================
b . 30.60 |====================================================================
Neural Magic DeepSparse 1.5
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 71.64 |===================================================================
b . 72.24 |====================================================================
Neural Magic DeepSparse 1.5
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 69.72 |====================================================================
b . 69.09 |===================================================================
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 . 49.72 |===================================================================
b . 50.17 |====================================================================
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 . 100.41 |===================================================================
b . 99.57 |==================================================================
QMCPACK 3.17.1
Input: H4_ae
Total Execution Time - Seconds < Lower Is Better
a . 39.88 |===================================================================
b . 40.51 |====================================================================
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 . 47.18 |====================================================================
b . 47.20 |====================================================================
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 . 21.19 |====================================================================
b . 21.18 |====================================================================
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 . 17.80 |====================================================================
b . 17.71 |====================================================================
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 . 56.17 |====================================================================
b . 56.44 |====================================================================
VVenC 1.9
Video Input: Bosphorus 1080p - Video Preset: Fast
Frames Per Second > Higher Is Better
a . 15.11 |===================================================================
b . 15.24 |====================================================================
Neural Magic DeepSparse 1.5
Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 18.04 |===================================================================
b . 18.20 |====================================================================
Neural Magic DeepSparse 1.5
Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 55.42 |====================================================================
b . 54.94 |===================================================================
Neural Magic DeepSparse 1.5
Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 98.08 |====================================================================
b . 98.29 |====================================================================
Neural Magic DeepSparse 1.5
Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 50.97 |====================================================================
b . 50.86 |====================================================================
Neural Magic DeepSparse 1.5
Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 95.48 |====================================================================
b . 95.20 |====================================================================
Neural Magic DeepSparse 1.5
Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 52.32 |====================================================================
b . 52.50 |====================================================================
Neural Magic DeepSparse 1.5
Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 22.06 |====================================================================
b . 22.09 |====================================================================
Neural Magic DeepSparse 1.5
Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 45.31 |====================================================================
b . 45.25 |====================================================================
Neural Magic DeepSparse 1.5
Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 21.99 |==================================================================
b . 22.70 |====================================================================
Neural Magic DeepSparse 1.5
Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 45.48 |====================================================================
b . 44.05 |==================================================================
Neural Magic DeepSparse 1.5
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 46.19 |====================================================================
b . 46.21 |====================================================================
Neural Magic DeepSparse 1.5
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 108.12 |===================================================================
b . 108.07 |===================================================================
Neural Magic DeepSparse 1.5
Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 45.79 |====================================================================
b . 45.81 |====================================================================
Neural Magic DeepSparse 1.5
Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 109.14 |===================================================================
b . 109.06 |===================================================================
Neural Magic DeepSparse 1.5
Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 12.66 |====================================================================
b . 12.65 |====================================================================
Neural Magic DeepSparse 1.5
Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 78.99 |====================================================================
b . 79.04 |====================================================================
Neural Magic DeepSparse 1.5
Model: ResNet-50, Baseline - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 12.63 |====================================================================
b . 12.59 |====================================================================
Neural Magic DeepSparse 1.5
Model: ResNet-50, Baseline - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 79.15 |====================================================================
b . 79.37 |====================================================================
Neural Magic DeepSparse 1.5
Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 7.0052 |===================================================================
b . 6.9947 |===================================================================
Neural Magic DeepSparse 1.5
Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 712.36 |===================================================================
b . 713.32 |===================================================================
Neural Magic DeepSparse 1.5
Model: ResNet-50, Sparse INT8 - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 2.8555 |===================================================================
b . 2.8079 |==================================================================
Neural Magic DeepSparse 1.5
Model: ResNet-50, Sparse INT8 - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 349.62 |==================================================================
b . 355.47 |===================================================================
QuantLib 1.32
Configuration: Multi-Threaded
MFLOPS > Higher Is Better
a . 40312.3 |==================================================================
b . 39967.5 |=================================================================
Stress-NG 0.16.04
Test: Cloning
Bogo Ops/s > Higher Is Better
a . 860.48 |===================================================================
b . 865.39 |===================================================================
Stress-NG 0.16.04
Test: Zlib
Bogo Ops/s > Higher Is Better
a . 1130.39 |==================================================================
b . 1129.89 |==================================================================
Liquid-DSP 1.6
Threads: 4 - Buffer Length: 256 - Filter Length: 512
samples/s > Higher Is Better
a . 80680000 |=================================================================
b . 81117000 |=================================================================
Liquid-DSP 1.6
Threads: 1 - Buffer Length: 256 - Filter Length: 32
samples/s > Higher Is Better
a . 57879000 |=================================================================
b . 57881000 |=================================================================
Stress-NG 0.16.04
Test: Vector Floating Point
Bogo Ops/s > Higher Is Better
a . 19538.35 |=================================================================
b . 19468.51 |=================================================================
Liquid-DSP 1.6
Threads: 16 - Buffer Length: 256 - Filter Length: 512
samples/s > Higher Is Better
a . 185450000 |============================================================
b . 196230000 |================================================================
Liquid-DSP 1.6
Threads: 2 - Buffer Length: 256 - Filter Length: 512
samples/s > Higher Is Better
a . 41548000 |=================================================================
b . 41499000 |=================================================================
Liquid-DSP 1.6
Threads: 1 - Buffer Length: 256 - Filter Length: 512
samples/s > Higher Is Better
a . 20784000 |=================================================================
b . 20781000 |=================================================================
Liquid-DSP 1.6
Threads: 4 - Buffer Length: 256 - Filter Length: 57
samples/s > Higher Is Better
a . 305790000 |================================================================
b . 303380000 |===============================================================
Liquid-DSP 1.6
Threads: 4 - Buffer Length: 256 - Filter Length: 32
samples/s > Higher Is Better
a . 221860000 |================================================================
b . 221680000 |================================================================
Liquid-DSP 1.6
Threads: 2 - Buffer Length: 256 - Filter Length: 57
samples/s > Higher Is Better
a . 159380000 |================================================================
b . 160510000 |================================================================
Liquid-DSP 1.6
Threads: 2 - Buffer Length: 256 - Filter Length: 32
samples/s > Higher Is Better
a . 115700000 |================================================================
b . 115690000 |================================================================
Liquid-DSP 1.6
Threads: 1 - Buffer Length: 256 - Filter Length: 57
samples/s > Higher Is Better
a . 78801000 |================================================================
b . 80378000 |=================================================================
Stress-NG 0.16.04
Test: Hash
Bogo Ops/s > Higher Is Better
a . 2294409.16 |===============================================================
b . 2304545.32 |===============================================================
Liquid-DSP 1.6
Threads: 8 - Buffer Length: 256 - Filter Length: 512
samples/s > Higher Is Better
a . 130420000 |================================================================
b . 131280000 |================================================================
Stress-NG 0.16.04
Test: Pthread
Bogo Ops/s > Higher Is Better
a . 186367.10 |================================================================
b . 186386.61 |================================================================
Stress-NG 0.16.04
Test: Matrix 3D Math
Bogo Ops/s > Higher Is Better
a . 1401.51 |=================================================================
b . 1418.21 |==================================================================
Liquid-DSP 1.6
Threads: 8 - Buffer Length: 256 - Filter Length: 32
samples/s > Higher Is Better
a . 402980000 |================================================================
b . 400370000 |================================================================
Stress-NG 0.16.04
Test: Floating Point
Bogo Ops/s > Higher Is Better
a . 4377.45 |=================================================================
b . 4412.33 |==================================================================
Stress-NG 0.16.04
Test: AVL Tree
Bogo Ops/s > Higher Is Better
a . 81.66 |====================================================================
b . 82.10 |====================================================================
Liquid-DSP 1.6
Threads: 16 - Buffer Length: 256 - Filter Length: 57
samples/s > Higher Is Better
a . 695800000 |================================================================
b . 676010000 |==============================================================
Liquid-DSP 1.6
Threads: 16 - Buffer Length: 256 - Filter Length: 32
samples/s > Higher Is Better
a . 757790000 |================================================================
b . 750070000 |===============================================================
Liquid-DSP 1.6
Threads: 8 - Buffer Length: 256 - Filter Length: 57
samples/s > Higher Is Better
a . 518790000 |================================================================
b . 515540000 |================================================================
Stress-NG 0.16.04
Test: Vector Shuffle
Bogo Ops/s > Higher Is Better
a . 9447.65 |==================================================================
b . 9457.69 |==================================================================
Stress-NG 0.16.04
Test: Fused Multiply-Add
Bogo Ops/s > Higher Is Better
a . 16384409.66 |==============================================================
b . 16391410.53 |==============================================================
Stress-NG 0.16.04
Test: Wide Vector Math
Bogo Ops/s > Higher Is Better
a . 484455.75 |================================================================
b . 484394.85 |================================================================
Stress-NG 0.16.04
Test: Mixed Scheduler
Bogo Ops/s > Higher Is Better
a . 10186.26 |================================================================
b . 10290.81 |=================================================================
Stress-NG 0.16.04
Test: AVX-512 VNNI
Bogo Ops/s > Higher Is Better
a . 1228899.23 |===============================================================
b . 1229104.91 |===============================================================
Stress-NG 0.16.04
Test: Poll
Bogo Ops/s > Higher Is Better
a . 1241130.30 |===============================================================
b . 1217218.91 |==============================================================
Stress-NG 0.16.04
Test: Pipe
Bogo Ops/s > Higher Is Better
a . 7171062.72 |===============================================================
b . 7160556.83 |===============================================================
AOM AV1 3.7
Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 0.73 |=====================================================================
b . 0.73 |=====================================================================
eSpeak-NG Speech Engine 1.51
Text-To-Speech Synthesis
Seconds < Lower Is Better
a . 21.22 |====================================================================
b . 21.29 |====================================================================
oneDNN 3.3
Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 9.24791 |==================================================================
b . 9.23030 |==================================================================
Opus Codec Encoding 1.4
WAV To Opus Encode
Seconds < Lower Is Better
a . 20.51 |====================================================================
b . 20.54 |====================================================================
Z3 Theorem Prover 4.12.1
SMT File: 1.smt2
Seconds < Lower Is Better
a . 19.13 |====================================================================
b . 19.12 |====================================================================
SQLite 3.41.2
Threads / Copies: 4
Seconds < Lower Is Better
a . 19.01 |====================================================================
b . 19.00 |====================================================================
VVenC 1.9
Video Input: Bosphorus 1080p - Video Preset: Faster
Frames Per Second > Higher Is Better
a . 33.29 |====================================================================
b . 33.09 |====================================================================
QuantLib 1.32
Configuration: Single-Threaded
MFLOPS > Higher Is Better
a . 4562.6 |===================================================================
b . 4573.9 |===================================================================
AOM AV1 3.7
Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 46.78 |====================================================================
b . 46.68 |====================================================================
dav1d 1.2.1
Video Input: Chimera 1080p 10-bit
FPS > Higher Is Better
a . 556.38 |===================================================================
b . 555.73 |===================================================================
dav1d 1.2.1
Video Input: Summer Nature 4K
FPS > Higher Is Better
a . 238.78 |===================================================================
b . 239.22 |===================================================================
oneDNN 3.3
Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 3.89503 |==================================================================
b . 3.89409 |==================================================================
SVT-AV1 1.7
Encoder Mode: Preset 4 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 11.20 |====================================================================
b . 11.22 |====================================================================
SQLite 3.41.2
Threads / Copies: 2
Seconds < Lower Is Better
a . 14.49 |====================================================================
b . 14.46 |====================================================================
SVT-AV1 1.7
Encoder Mode: Preset 8 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 44.98 |====================================================================
b . 44.94 |====================================================================
dav1d 1.2.1
Video Input: Chimera 1080p
FPS > Higher Is Better
a . 683.61 |===================================================================
b . 675.83 |==================================================================
easyWave r34
Input: e2Asean Grid + BengkuluSept2007 Source - Time: 240
Seconds < Lower Is Better
a . 9.046 |====================================================================
b . 9.060 |====================================================================
AOM AV1 3.7
Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 63.82 |=============================================================
b . 71.58 |====================================================================
AOM AV1 3.7
Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 68.67 |====================================================================
b . 68.16 |===================================================================
oneDNN 3.3
Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 10.80 |====================================================================
b . 10.69 |===================================================================
libavif avifenc 1.0
Encoder Speed: 6, Lossless
Seconds < Lower Is Better
a . 9.164 |====================================================================
b . 9.139 |====================================================================
AOM AV1 3.7
Encoder Mode: Speed 11 Realtime - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 73.19 |====================================================================
b . 70.73 |==================================================================
SQLite 3.41.2
Threads / Copies: 1
Seconds < Lower Is Better
a . 8.943 |====================================================================
b . 8.908 |====================================================================
AOM AV1 3.7
Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 69.71 |===========================================================
b . 79.90 |====================================================================
AOM AV1 3.7
Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 75.67 |===============================================================
b . 81.38 |====================================================================
SVT-AV1 1.7
Encoder Mode: Preset 8 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 92.68 |====================================================================
b . 93.34 |====================================================================
libavif avifenc 1.0
Encoder Speed: 6
Seconds < Lower Is Better
a . 6.332 |====================================================================
b . 6.274 |===================================================================
oneDNN 3.3
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 14.35 |====================================================================
b . 14.34 |====================================================================
SVT-AV1 1.7
Encoder Mode: Preset 12 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 109.88 |===================================================================
b . 109.21 |===================================================================
SVT-AV1 1.7
Encoder Mode: Preset 13 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 111.13 |===================================================================
b . 111.54 |===================================================================
libavif avifenc 1.0
Encoder Speed: 10, Lossless
Seconds < Lower Is Better
a . 4.552 |===================================================================
b . 4.634 |====================================================================
AOM AV1 3.7
Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 146.21 |===========================================================
b . 166.68 |===================================================================
dav1d 1.2.1
Video Input: Summer Nature 1080p
FPS > Higher Is Better
a . 956.18 |===================================================================
b . 962.35 |===================================================================
AOM AV1 3.7
Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 183.46 |===================================================================
b . 162.27 |===========================================================
AOM AV1 3.7
Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 178.89 |================================================================
b . 188.01 |===================================================================
High Performance Conjugate Gradient 3.1
X Y Z: 144 144 144 - RT: 60
GFLOP/s > Higher Is Better
AOM AV1 3.7
Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 199.96 |===================================================================
b . 184.04 |==============================================================
AOM AV1 3.7
Encoder Mode: Speed 11 Realtime - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 193.68 |===================================================================
b . 190.21 |==================================================================
oneDNN 3.3
Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 8.04899 |==================================================================
b . 8.04648 |==================================================================
SVT-AV1 1.7
Encoder Mode: Preset 12 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 437.37 |===================================================================
b . 427.53 |=================================================================
SVT-AV1 1.7
Encoder Mode: Preset 13 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 516.20 |===================================================================
b . 499.07 |=================================================================