AMD Ryzen Threadripper 3960X 24-Core testing with a MSI Creator TRX40 (MS-7C59) v1.0 (1.12N1 BIOS) and Gigabyte AMD Radeon RX 5500 XT 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 2212279-NE-THREADRIP40
threadripper eo 2022
AMD Ryzen Threadripper 3960X 24-Core testing with a MSI Creator TRX40 (MS-7C59) v1.0 (1.12N1 BIOS) and Gigabyte AMD Radeon RX 5500 XT 8GB on Ubuntu 22.04 via the Phoronix Test Suite.
a:
Processor: AMD Ryzen Threadripper 3960X 24-Core @ 3.80GHz (24 Cores / 48 Threads), Motherboard: MSI Creator TRX40 (MS-7C59) v1.0 (1.12N1 BIOS), Chipset: AMD Starship/Matisse, Memory: 32GB, Disk: 1000GB Sabrent Rocket 4.0 1TB, Graphics: Gigabyte AMD Radeon RX 5500 XT 8GB (1900/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: VA2431, Network: Aquantia AQC107 NBase-T/IEEE + Intel I211 + Intel Wi-Fi 6 AX200
OS: Ubuntu 22.04, Kernel: 5.19.0-051900rc7-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server, OpenGL: 4.6 Mesa 22.0.1 (LLVM 13.0.1 DRM 3.47), Vulkan: 1.3.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080
b:
Processor: AMD Ryzen Threadripper 3960X 24-Core @ 3.80GHz (24 Cores / 48 Threads), Motherboard: MSI Creator TRX40 (MS-7C59) v1.0 (1.12N1 BIOS), Chipset: AMD Starship/Matisse, Memory: 32GB, Disk: 1000GB Sabrent Rocket 4.0 1TB, Graphics: Gigabyte AMD Radeon RX 5500 XT 8GB (1900/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: VA2431, Network: Aquantia AQC107 NBase-T/IEEE + Intel I211 + Intel Wi-Fi 6 AX200
OS: Ubuntu 22.04, Kernel: 5.19.0-051900rc7-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server, OpenGL: 4.6 Mesa 22.0.1 (LLVM 13.0.1 DRM 3.47), Vulkan: 1.3.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080
BRL-CAD 7.32.6
VGR Performance Metric
VGR Performance Metric > Higher Is Better
a . 405453 |===================================================================
b . 403757 |===================================================================
Blender 3.4
Blend File: Barbershop - Compute: CPU-Only
Seconds < Lower Is Better
a . 583.81 |===================================================================
b . 586.00 |===================================================================
Timed Linux Kernel Compilation 6.1
Build: allmodconfig
Seconds < Lower Is Better
a . 476.67 |===================================================================
b . 478.89 |===================================================================
SMHasher 2022-08-22
Hash: SHA3-256
cycles/hash < Lower Is Better
a . 2649.38 |==================================================================
b . 2649.30 |==================================================================
SMHasher 2022-08-22
Hash: SHA3-256
MiB/sec > Higher Is Better
a . 146.70 |===================================================================
b . 146.47 |===================================================================
OpenVKL 1.3.1
Benchmark: vklBenchmark ISPC
Items / Sec > Higher Is Better
a . 288 |======================================================================
b . 287 |======================================================================
OpenVKL 1.3.1
Benchmark: vklBenchmark Scalar
Items / Sec > Higher Is Better
a . 184 |======================================================================
b . 183 |======================================================================
nekRS 22.0
Input: TurboPipe Periodic
FLOP/s > Higher Is Better
a . 67648400000 |==============================================================
b . 67381400000 |==============================================================
JPEG XL libjxl 0.7
Input: JPEG - Quality: 100
MP/s > Higher Is Better
a . 0.66 |=====================================================================
b . 0.66 |=====================================================================
JPEG XL libjxl 0.7
Input: PNG - Quality: 100
MP/s > Higher Is Better
a . 0.68 |=====================================================================
b . 0.68 |=====================================================================
OpenRadioss 2022.10.13
Model: INIVOL and Fluid Structure Interaction Drop Container
Seconds < Lower Is Better
a . 287.95 |==================================================================
b . 290.20 |===================================================================
FFmpeg 5.1.2
Encoder: libx265 - Scenario: Platform
FPS > Higher Is Better
a . 28.62 |====================================================================
b . 28.68 |====================================================================
FFmpeg 5.1.2
Encoder: libx265 - Scenario: Platform
Seconds < Lower Is Better
a . 264.66 |===================================================================
b . 264.16 |===================================================================
FFmpeg 5.1.2
Encoder: libx265 - Scenario: Video On Demand
FPS > Higher Is Better
a . 28.63 |====================================================================
b . 28.74 |====================================================================
FFmpeg 5.1.2
Encoder: libx265 - Scenario: Video On Demand
Seconds < Lower Is Better
a . 264.63 |===================================================================
b . 263.53 |===================================================================
FFmpeg 5.1.2
Encoder: libx264 - Scenario: Upload
FPS > Higher Is Better
a . 12.37 |====================================================================
b . 12.30 |====================================================================
FFmpeg 5.1.2
Encoder: libx264 - Scenario: Upload
Seconds < Lower Is Better
a . 204.11 |===================================================================
b . 205.24 |===================================================================
Timed CPython Compilation 3.10.6
Build Configuration: Released Build, PGO + LTO Optimized
Seconds < Lower Is Better
a . 257.57 |===================================================================
b . 257.95 |===================================================================
FFmpeg 5.1.2
Encoder: libx265 - Scenario: Upload
FPS > Higher Is Better
a . 13.73 |===================================================================
b . 13.89 |====================================================================
FFmpeg 5.1.2
Encoder: libx265 - Scenario: Upload
Seconds < Lower Is Better
a . 183.91 |===================================================================
b . 181.78 |==================================================================
Timed Node.js Compilation 18.8
Time To Compile
Seconds < Lower Is Better
a . 232.35 |===================================================================
b . 233.72 |===================================================================
FFmpeg 5.1.2
Encoder: libx264 - Scenario: Platform
FPS > Higher Is Better
a . 47.13 |====================================================================
b . 46.96 |====================================================================
FFmpeg 5.1.2
Encoder: libx264 - Scenario: Platform
Seconds < Lower Is Better
a . 160.71 |===================================================================
b . 161.32 |===================================================================
FFmpeg 5.1.2
Encoder: libx264 - Scenario: Video On Demand
FPS > Higher Is Better
a . 47.17 |====================================================================
b . 47.04 |====================================================================
FFmpeg 5.1.2
Encoder: libx264 - Scenario: Video On Demand
Seconds < Lower Is Better
a . 160.60 |===================================================================
b . 161.04 |===================================================================
Blender 3.4
Blend File: Pabellon Barcelona - Compute: CPU-Only
Seconds < Lower Is Better
a . 176.40 |===================================================================
b . 177.27 |===================================================================
OpenRadioss 2022.10.13
Model: Bird Strike on Windshield
Seconds < Lower Is Better
a . 173.48 |===================================================================
b . 174.41 |===================================================================
Mobile Neural Network 2.1
Model: inception-v3
ms < Lower Is Better
a . 23.25 |==============================================================
b . 25.51 |====================================================================
Mobile Neural Network 2.1
Model: mobilenet-v1-1.0
ms < Lower Is Better
a . 3.054 |====================================================================
b . 3.021 |===================================================================
Mobile Neural Network 2.1
Model: MobileNetV2_224
ms < Lower Is Better
a . 4.361 |================================================================
b . 4.607 |====================================================================
Mobile Neural Network 2.1
Model: SqueezeNetV1.0
ms < Lower Is Better
a . 6.491 |===================================================================
b . 6.547 |====================================================================
Mobile Neural Network 2.1
Model: resnet-v2-50
ms < Lower Is Better
a . 21.56 |================================================================
b . 22.83 |====================================================================
Mobile Neural Network 2.1
Model: squeezenetv1.1
ms < Lower Is Better
a . 4.311 |====================================================================
b . 4.191 |==================================================================
Mobile Neural Network 2.1
Model: mobilenetV3
ms < Lower Is Better
a . 2.282 |===============================================================
b . 2.455 |====================================================================
Mobile Neural Network 2.1
Model: nasnet
ms < Lower Is Better
a . 14.31 |=================================================================
b . 14.96 |====================================================================
WebP2 Image Encode 20220823
Encode Settings: Quality 95, Compression Effort 7
MP/s > Higher Is Better
a . 0.15 |=====================================================================
b . 0.15 |=====================================================================
Scikit-Learn 1.1.3
Benchmark: Sparse Random Projections, 100 Iterations
Seconds < Lower Is Better
a . 162.42 |===================================================================
b . 162.59 |===================================================================
OpenFOAM 10
Input: drivaerFastback, Small Mesh Size - Execution Time
Seconds < Lower Is Better
a . 121.46 |==================================================================
b . 123.71 |===================================================================
OpenFOAM 10
Input: drivaerFastback, Small Mesh Size - Mesh Time
Seconds < Lower Is Better
a . 26.87 |===================================================================
b . 27.28 |====================================================================
Blender 3.4
Blend File: Classroom - Compute: CPU-Only
Seconds < Lower Is Better
a . 148.83 |===================================================================
b . 149.10 |===================================================================
PostgreSQL 15
Scaling Factor: 100 - Clients: 50 - Mode: Read Only - Average Latency
ms < Lower Is Better
a . 0.074 |===================================================================
b . 0.075 |====================================================================
PostgreSQL 15
Scaling Factor: 100 - Clients: 50 - Mode: Read Only
TPS > Higher Is Better
a . 671452 |===================================================================
b . 663640 |==================================================================
PostgreSQL 15
Scaling Factor: 100 - Clients: 250 - Mode: Read Only - Average Latency
ms < Lower Is Better
a . 0.386 |=================================================================
b . 0.404 |====================================================================
PostgreSQL 15
Scaling Factor: 100 - Clients: 250 - Mode: Read Only
TPS > Higher Is Better
a . 646832 |===================================================================
b . 618774 |================================================================
PostgreSQL 15
Scaling Factor: 100 - Clients: 250 - Mode: Read Write - Average Latency
ms < Lower Is Better
a . 5.506 |======================================
b . 9.786 |====================================================================
PostgreSQL 15
Scaling Factor: 100 - Clients: 250 - Mode: Read Write
TPS > Higher Is Better
a . 45407 |====================================================================
b . 25548 |======================================
PostgreSQL 15
Scaling Factor: 100 - Clients: 100 - Mode: Read Write - Average Latency
ms < Lower Is Better
a . 2.467 |========================================================
b . 2.971 |====================================================================
PostgreSQL 15
Scaling Factor: 100 - Clients: 100 - Mode: Read Write
TPS > Higher Is Better
a . 40535 |====================================================================
b . 33658 |========================================================
PostgreSQL 15
Scaling Factor: 100 - Clients: 50 - Mode: Read Write - Average Latency
ms < Lower Is Better
a . 1.712 |====================================================================
b . 1.705 |====================================================================
PostgreSQL 15
Scaling Factor: 100 - Clients: 50 - Mode: Read Write
TPS > Higher Is Better
a . 29212 |====================================================================
b . 29318 |====================================================================
PostgreSQL 15
Scaling Factor: 100 - Clients: 100 - Mode: Read Only - Average Latency
ms < Lower Is Better
a . 0.153 |===============================================================
b . 0.166 |====================================================================
PostgreSQL 15
Scaling Factor: 100 - Clients: 100 - Mode: Read Only
TPS > Higher Is Better
a . 653213 |===================================================================
b . 602288 |==============================================================
JPEG XL libjxl 0.7
Input: JPEG - Quality: 80
MP/s > Higher Is Better
a . 8.59 |====================================================================
b . 8.70 |=====================================================================
JPEG XL libjxl 0.7
Input: PNG - Quality: 80
MP/s > Higher Is Better
a . 8.95 |====================================================================
b . 9.02 |=====================================================================
NCNN 20220729
Target: CPU - Model: FastestDet
ms < Lower Is Better
a . 8.91 |=====================================================================
b . 8.90 |=====================================================================
NCNN 20220729
Target: CPU - Model: vision_transformer
ms < Lower Is Better
a . 133.48 |=================================================================
b . 137.59 |===================================================================
NCNN 20220729
Target: CPU - Model: regnety_400m
ms < Lower Is Better
a . 26.61 |====================================================================
b . 26.65 |====================================================================
NCNN 20220729
Target: CPU - Model: squeezenet_ssd
ms < Lower Is Better
a . 21.24 |================================================================
b . 22.44 |====================================================================
NCNN 20220729
Target: CPU - Model: yolov4-tiny
ms < Lower Is Better
a . 25.55 |==================================================================
b . 26.29 |====================================================================
NCNN 20220729
Target: CPU - Model: resnet50
ms < Lower Is Better
a . 21.43 |===============================================================
b . 23.05 |====================================================================
NCNN 20220729
Target: CPU - Model: alexnet
ms < Lower Is Better
a . 8.95 |=================================================================
b . 9.45 |=====================================================================
NCNN 20220729
Target: CPU - Model: resnet18
ms < Lower Is Better
a . 12.14 |=================================================================
b . 12.78 |====================================================================
NCNN 20220729
Target: CPU - Model: vgg16
ms < Lower Is Better
a . 33.71 |===================================================================
b . 34.14 |====================================================================
NCNN 20220729
Target: CPU - Model: googlenet
ms < Lower Is Better
a . 18.44 |================================================================
b . 19.69 |====================================================================
NCNN 20220729
Target: CPU - Model: blazeface
ms < Lower Is Better
a . 3.67 |====================================================================
b . 3.75 |=====================================================================
NCNN 20220729
Target: CPU - Model: efficientnet-b0
ms < Lower Is Better
a . 9.26 |===================================================================
b . 9.56 |=====================================================================
NCNN 20220729
Target: CPU - Model: mnasnet
ms < Lower Is Better
a . 6.29 |==================================================================
b . 6.54 |=====================================================================
NCNN 20220729
Target: CPU - Model: shufflenet-v2
ms < Lower Is Better
a . 7.89 |===================================================================
b . 8.14 |=====================================================================
NCNN 20220729
Target: CPU-v3-v3 - Model: mobilenet-v3
ms < Lower Is Better
a . 6.44 |===================================================================
b . 6.62 |=====================================================================
NCNN 20220729
Target: CPU-v2-v2 - Model: mobilenet-v2
ms < Lower Is Better
a . 6.92 |===================================================================
b . 7.13 |=====================================================================
NCNN 20220729
Target: CPU - Model: mobilenet
ms < Lower Is Better
a . 15.69 |=================================================================
b . 16.39 |====================================================================
Stargate Digital Audio Workstation 22.11.5
Sample Rate: 192000 - Buffer Size: 512
Render Ratio > Higher Is Better
a . 1.244804 |==============================================================
b . 1.314658 |=================================================================
Numenta Anomaly Benchmark 1.1
Detector: KNN CAD
Seconds < Lower Is Better
a . 129.15 |=================================================================
b . 133.48 |===================================================================
OpenFOAM 10
Input: motorBike - Execution Time
Seconds < Lower Is Better
a . 71.60 |====================================================================
b . 71.61 |====================================================================
OpenFOAM 10
Input: motorBike - Mesh Time
Seconds < Lower Is Better
a . 40.37 |====================================================================
b . 40.59 |====================================================================
Stream 2013-01-17
Type: Copy
MB/s > Higher Is Better
a . 54649.6 |=================================================================
b . 55314.0 |==================================================================
JPEG XL libjxl 0.7
Input: JPEG - Quality: 90
MP/s > Higher Is Better
a . 8.51 |====================================================================
b . 8.58 |=====================================================================
JPEG XL libjxl 0.7
Input: PNG - Quality: 90
MP/s > Higher Is Better
a . 8.89 |====================================================================
b . 8.99 |=====================================================================
CockroachDB 22.2
Workload: KV, 10% Reads - Concurrency: 1024
ops/s > Higher Is Better
a . 59301.4 |==================================================================
b . 59175.4 |==================================================================
CockroachDB 22.2
Workload: KV, 50% Reads - Concurrency: 1024
ops/s > Higher Is Better
a . 71952.1 |==================================================================
b . 72222.0 |==================================================================
CockroachDB 22.2
Workload: KV, 60% Reads - Concurrency: 1024
ops/s > Higher Is Better
a . 76564.0 |==================================================================
b . 76335.4 |==================================================================
CockroachDB 22.2
Workload: KV, 95% Reads - Concurrency: 1024
ops/s > Higher Is Better
a . 94157.8 |==================================================================
b . 93822.1 |==================================================================
CockroachDB 22.2
Workload: KV, 10% Reads - Concurrency: 512
ops/s > Higher Is Better
a . 61112 |====================================================================
b . 60710 |====================================================================
CockroachDB 22.2
Workload: KV, 60% Reads - Concurrency: 512
ops/s > Higher Is Better
a . 80024.0 |==================================================================
b . 79220.4 |=================================================================
CockroachDB 22.2
Workload: KV, 95% Reads - Concurrency: 512
ops/s > Higher Is Better
a . 98031.9 |==================================================================
b . 97822.4 |==================================================================
CockroachDB 22.2
Workload: KV, 50% Reads - Concurrency: 512
ops/s > Higher Is Better
a . 75643.3 |==================================================================
b . 75289.1 |==================================================================
CockroachDB 22.2
Workload: KV, 50% Reads - Concurrency: 256
ops/s > Higher Is Better
a . 77546.7 |==================================================================
b . 76768.6 |=================================================================
CockroachDB 22.2
Workload: KV, 10% Reads - Concurrency: 128
ops/s > Higher Is Better
a . 50479.2 |==================================================================
b . 50108.8 |==================================================================
CockroachDB 22.2
Workload: KV, 60% Reads - Concurrency: 256
ops/s > Higher Is Better
a . 82286.1 |==================================================================
b . 82467.0 |==================================================================
CockroachDB 22.2
Workload: KV, 10% Reads - Concurrency: 256
ops/s > Higher Is Better
a . 61211.1 |==================================================================
b . 61278.6 |==================================================================
CockroachDB 22.2
Workload: KV, 95% Reads - Concurrency: 256
ops/s > Higher Is Better
a . 100761.5 |=================================================================
b . 100166.8 |=================================================================
CockroachDB 22.2
Workload: KV, 60% Reads - Concurrency: 128
ops/s > Higher Is Better
a . 77055.3 |==================================================================
b . 77363.2 |==================================================================
CockroachDB 22.2
Workload: KV, 50% Reads - Concurrency: 128
ops/s > Higher Is Better
a . 70558.3 |==================================================================
b . 69948.7 |=================================================================
CockroachDB 22.2
Workload: KV, 95% Reads - Concurrency: 128
ops/s > Higher Is Better
a . 103073.5 |=================================================================
b . 103111.7 |=================================================================
Scikit-Learn 1.1.3
Benchmark: MNIST Dataset
Seconds < Lower Is Better
a . 103.90 |==================================================================
b . 104.93 |===================================================================
OpenRadioss 2022.10.13
Model: Bumper Beam
Seconds < Lower Is Better
a . 98.86 |==================================================================
b . 100.60 |===================================================================
AOM AV1 3.5
Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 7.91 |=====================================================================
b . 7.88 |=====================================================================
CockroachDB 22.2
Workload: MoVR - Concurrency: 256
ops/s > Higher Is Better
a . 476.5 |===================================================================
b . 480.7 |====================================================================
CockroachDB 22.2
Workload: MoVR - Concurrency: 128
ops/s > Higher Is Better
a . 477.5 |===================================================================
b . 483.1 |====================================================================
CockroachDB 22.2
Workload: MoVR - Concurrency: 512
ops/s > Higher Is Better
a . 476.6 |===================================================================
b . 481.1 |====================================================================
CockroachDB 22.2
Workload: MoVR - Concurrency: 1024
ops/s > Higher Is Better
a . 474.9 |===================================================================
b . 480.5 |====================================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 100 - Broadcast Inner Join Test Time
Seconds < Lower Is Better
a . 1.28 |==================================================================
b . 1.34 |=====================================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 100 - Inner Join Test Time
Seconds < Lower Is Better
a . 1.67 |=====================================================================
b . 1.63 |===================================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 100 - Repartition Test Time
Seconds < Lower Is Better
a . 1.76 |==================================================================
b . 1.84 |=====================================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 100 - Group By Test Time
Seconds < Lower Is Better
a . 4.67 |===================================================================
b . 4.78 |=====================================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe
Seconds < Lower Is Better
a . 4.20 |=====================================================================
b . 4.21 |=====================================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark
Seconds < Lower Is Better
a . 68.96 |===================================================================
b . 69.93 |====================================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 100 - SHA-512 Benchmark Time
Seconds < Lower Is Better
a . 3.40000000 |============================================================
b . 3.59872799 |===============================================================
FFmpeg 5.1.2
Encoder: libx265 - Scenario: Live
FPS > Higher Is Better
a . 69.22 |====================================================================
b . 69.15 |====================================================================
FFmpeg 5.1.2
Encoder: libx265 - Scenario: Live
Seconds < Lower Is Better
a . 72.95 |====================================================================
b . 73.03 |====================================================================
libavif avifenc 0.11
Encoder Speed: 0
Seconds < Lower Is Better
a . 91.04 |====================================================================
b . 90.56 |====================================================================
nginx 1.23.2
Connections: 1000
Requests Per Second > Higher Is Better
a . 125263.22 |===============================================================
b . 126633.00 |================================================================
Timed Erlang/OTP Compilation 25.0
Time To Compile
Seconds < Lower Is Better
a . 90.93 |====================================================================
b . 90.25 |===================================================================
nginx 1.23.2
Connections: 500
Requests Per Second > Higher Is Better
a . 133262.41 |==============================================================
b . 137072.73 |================================================================
nginx 1.23.2
Connections: 200
Requests Per Second > Higher Is Better
a . 148446.23 |================================================================
b . 148101.85 |================================================================
nginx 1.23.2
Connections: 100
Requests Per Second > Higher Is Better
a . 148017.08 |================================================================
b . 145523.99 |===============================================================
Stargate Digital Audio Workstation 22.11.5
Sample Rate: 96000 - Buffer Size: 512
Render Ratio > Higher Is Better
a . 1.911816 |================================================================
b . 1.947376 |=================================================================
oneDNN 3.0
Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
a . 2604.63 |==============================================================
b . 2772.01 |==================================================================
OpenRadioss 2022.10.13
Model: Rubber O-Ring Seal Installation
Seconds < Lower Is Better
a . 78.18 |===================================================================
b . 79.08 |====================================================================
oneDNN 3.0
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 2614.46 |===============================================================
b . 2759.20 |==================================================================
oneDNN 3.0
Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 2559.09 |==============================================================
b . 2719.77 |==================================================================
oneDNN 3.0
Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 1366.14 |==============================================================
b . 1446.12 |==================================================================
WebP2 Image Encode 20220823
Encode Settings: Quality 75, Compression Effort 7
MP/s > Higher Is Better
a . 0.30 |=====================================================================
b . 0.30 |=====================================================================
oneDNN 3.0
Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 1295.49 |===========================================================
b . 1451.46 |==================================================================
oneDNN 3.0
Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
a . 1361.72 |==============================================================
b . 1441.78 |==================================================================
Numenta Anomaly Benchmark 1.1
Detector: Earthgecko Skyline
Seconds < Lower Is Better
a . 77.22 |====================================================================
b . 77.41 |====================================================================
ClickHouse 22.5.4.19
100M Rows Web Analytics Dataset, Third Run
Queries Per Minute, Geo Mean > Higher Is Better
a . 240.17 |===================================================================
b . 235.82 |==================================================================
ClickHouse 22.5.4.19
100M Rows Web Analytics Dataset, Second Run
Queries Per Minute, Geo Mean > Higher Is Better
a . 236.78 |===================================================================
b . 234.64 |==================================================================
ClickHouse 22.5.4.19
100M Rows Web Analytics Dataset, First Run / Cold Cache
Queries Per Minute, Geo Mean > Higher Is Better
a . 196.74 |=================================================================
b . 201.86 |===================================================================
Stargate Digital Audio Workstation 22.11.5
Sample Rate: 192000 - Buffer Size: 1024
Render Ratio > Higher Is Better
a . 2.436915 |=================================================================
b . 2.268748 |=============================================================
Neural Magic DeepSparse 1.1
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 172.65 |=================================================================
b . 177.22 |===================================================================
Neural Magic DeepSparse 1.1
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 69.48 |====================================================================
b . 67.65 |==================================================================
Blender 3.4
Blend File: Fishy Cat - Compute: CPU-Only
Seconds < Lower Is Better
a . 69.44 |====================================================================
b . 69.59 |====================================================================
Neural Magic DeepSparse 1.1
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 608.48 |===================================================================
b . 610.75 |===================================================================
Neural Magic DeepSparse 1.1
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 19.64 |====================================================================
b . 19.58 |====================================================================
Dragonflydb 0.6
Clients: 200 - Set To Get Ratio: 1:5
Ops/sec > Higher Is Better
a . 3609156.11 |===============================================================
b . 3593257.69 |===============================================================
Dragonflydb 0.6
Clients: 200 - Set To Get Ratio: 5:1
Ops/sec > Higher Is Better
a . 3273370.07 |===============================================================
b . 3263145.89 |===============================================================
Dragonflydb 0.6
Clients: 200 - Set To Get Ratio: 1:1
Ops/sec > Higher Is Better
a . 3388128.93 |===============================================================
b . 3388656.73 |===============================================================
OpenVINO 2022.3
Model: Person Detection FP16 - Device: CPU
ms < Lower Is Better
a . 2734.68 |==================================================================
b . 2714.24 |==================================================================
OpenVINO 2022.3
Model: Person Detection FP16 - Device: CPU
FPS > Higher Is Better
a . 4.30 |====================================================================
b . 4.34 |=====================================================================
Dragonflydb 0.6
Clients: 50 - Set To Get Ratio: 1:1
Ops/sec > Higher Is Better
a . 3341824.71 |===============================================================
b . 3320752.26 |===============================================================
Dragonflydb 0.6
Clients: 50 - Set To Get Ratio: 5:1
Ops/sec > Higher Is Better
a . 3193072.56 |===============================================================
b . 3164997.08 |==============================================================
Dragonflydb 0.6
Clients: 50 - Set To Get Ratio: 1:5
Ops/sec > Higher Is Better
a . 3519377.56 |===============================================================
b . 3515736.22 |===============================================================
OpenVINO 2022.3
Model: Person Detection FP32 - Device: CPU
ms < Lower Is Better
a . 2750.06 |==================================================================
b . 2734.21 |==================================================================
OpenVINO 2022.3
Model: Person Detection FP32 - Device: CPU
FPS > Higher Is Better
a . 4.33 |=====================================================================
b . 4.31 |=====================================================================
Xmrig 6.18.1
Variant: Monero - Hash Count: 1M
H/s > Higher Is Better
a . 15342.8 |==================================================================
b . 15334.8 |==================================================================
OpenVINO 2022.3
Model: Face Detection FP16 - Device: CPU
ms < Lower Is Better
a . 1735.28 |==================================================================
b . 1690.53 |================================================================
OpenVINO 2022.3
Model: Face Detection FP16 - Device: CPU
FPS > Higher Is Better
a . 6.82 |===================================================================
b . 7.02 |=====================================================================
Neural Magic DeepSparse 1.1
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 611.89 |===================================================================
b . 610.93 |===================================================================
Neural Magic DeepSparse 1.1
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 19.56 |====================================================================
b . 19.52 |====================================================================
OpenVINO 2022.3
Model: Face Detection FP16-INT8 - Device: CPU
ms < Lower Is Better
a . 1410.67 |==================================================================
b . 1408.60 |==================================================================
OpenVINO 2022.3
Model: Face Detection FP16-INT8 - Device: CPU
FPS > Higher Is Better
a . 8.46 |=====================================================================
b . 8.48 |=====================================================================
OpenVINO 2022.3
Model: Machine Translation EN To DE FP16 - Device: CPU
ms < Lower Is Better
a . 188.92 |==================================================================
b . 193.23 |===================================================================
OpenVINO 2022.3
Model: Machine Translation EN To DE FP16 - Device: CPU
FPS > Higher Is Better
a . 63.47 |====================================================================
b . 62.04 |==================================================================
OpenRadioss 2022.10.13
Model: Cell Phone Drop Test
Seconds < Lower Is Better
a . 54.86 |====================================================================
b . 55.19 |====================================================================
Neural Magic DeepSparse 1.1
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 152.23 |===================================================================
b . 152.94 |===================================================================
Neural Magic DeepSparse 1.1
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 78.72 |====================================================================
b . 78.44 |====================================================================
Facebook RocksDB 7.5.3
Test: Random Fill Sync
Op/s > Higher Is Better
a . 25136 |====================================================================
b . 25297 |====================================================================
OpenVINO 2022.3
Model: Person Vehicle Bike Detection FP16 - Device: CPU
ms < Lower Is Better
a . 17.47 |====================================================================
b . 17.32 |===================================================================
OpenVINO 2022.3
Model: Person Vehicle Bike Detection FP16 - Device: CPU
FPS > Higher Is Better
a . 686.15 |==================================================================
b . 692.14 |===================================================================
spaCy 3.4.1
Model: en_core_web_trf
tokens/sec > Higher Is Better
a . 1465 |=====================================================================
b . 1463 |=====================================================================
spaCy 3.4.1
Model: en_core_web_lg
tokens/sec > Higher Is Better
a . 12454 |====================================================================
b . 12319 |===================================================================
OpenVINO 2022.3
Model: Vehicle Detection FP16-INT8 - Device: CPU
ms < Lower Is Better
a . 16.75 |====================================================================
b . 16.84 |====================================================================
OpenVINO 2022.3
Model: Vehicle Detection FP16-INT8 - Device: CPU
FPS > Higher Is Better
a . 715.98 |===================================================================
b . 712.18 |===================================================================
OpenVINO 2022.3
Model: Weld Porosity Detection FP16 - Device: CPU
ms < Lower Is Better
a . 18.11 |===================================================================
b . 18.36 |====================================================================
OpenVINO 2022.3
Model: Weld Porosity Detection FP16 - Device: CPU
FPS > Higher Is Better
a . 661.93 |===================================================================
b . 653.16 |==================================================================
OpenVINO 2022.3
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
ms < Lower Is Better
a . 28.43 |====================================================================
b . 28.40 |====================================================================
OpenVINO 2022.3
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
FPS > Higher Is Better
a . 843.69 |===================================================================
b . 844.82 |===================================================================
OpenVINO 2022.3
Model: Vehicle Detection FP16 - Device: CPU
ms < Lower Is Better
a . 31.53 |===================================================================
b . 31.82 |====================================================================
OpenVINO 2022.3
Model: Vehicle Detection FP16 - Device: CPU
FPS > Higher Is Better
a . 380.28 |===================================================================
b . 376.70 |==================================================================
OpenVINO 2022.3
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
ms < Lower Is Better
a . 1.06 |=====================================================================
b . 1.06 |=====================================================================
OpenVINO 2022.3
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
FPS > Higher Is Better
a . 22553.27 |=================================================================
b . 22417.03 |=================================================================
OpenVINO 2022.3
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
ms < Lower Is Better
a . 1.13 |====================================================================
b . 1.14 |=====================================================================
OpenVINO 2022.3
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
FPS > Higher Is Better
a . 21060.95 |=================================================================
b . 20837.59 |================================================================
Facebook RocksDB 7.5.3
Test: Random Fill
Op/s > Higher Is Better
a . 811216 |===================================================================
b . 800273 |==================================================================
Facebook RocksDB 7.5.3
Test: Update Random
Op/s > Higher Is Better
a . 684330 |===================================================================
b . 651892 |================================================================
Facebook RocksDB 7.5.3
Test: Read Random Write Random
Op/s > Higher Is Better
a . 2683538 |==================================================================
b . 2589021 |================================================================
GraphicsMagick 1.3.38
Operation: Resizing
Iterations Per Minute > Higher Is Better
a . 2129 |=====================================================================
b . 2132 |=====================================================================
GraphicsMagick 1.3.38
Operation: Enhanced
Iterations Per Minute > Higher Is Better
a . 568 |======================================================================
b . 570 |======================================================================
GraphicsMagick 1.3.38
Operation: Sharpen
Iterations Per Minute > Higher Is Better
a . 376 |======================================================================
b . 376 |======================================================================
GraphicsMagick 1.3.38
Operation: Rotate
Iterations Per Minute > Higher Is Better
a . 638 |=====================================================================
b . 649 |======================================================================
Facebook RocksDB 7.5.3
Test: Read While Writing
Op/s > Higher Is Better
a . 4506140 |==================================================================
b . 4452658 |=================================================================
Facebook RocksDB 7.5.3
Test: Random Read
Op/s > Higher Is Better
a . 98049490 |===============================================================
b . 100100766 |================================================================
GraphicsMagick 1.3.38
Operation: Swirl
Iterations Per Minute > Higher Is Better
a . 1178 |====================================================================
b . 1193 |=====================================================================
GraphicsMagick 1.3.38
Operation: Noise-Gaussian
Iterations Per Minute > Higher Is Better
a . 514 |===================================================================
b . 535 |======================================================================
GraphicsMagick 1.3.38
Operation: HWB Color Space
Iterations Per Minute > Higher Is Better
a . 1043 |==================================================================
b . 1089 |=====================================================================
AOM AV1 3.5
Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 0.34 |=====================================================================
b . 0.34 |=====================================================================
JPEG XL Decoding libjxl 0.7
CPU Threads: 1
MP/s > Higher Is Better
a . 44.60 |==================================================================
b . 45.67 |====================================================================
AOM AV1 3.5
Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 13.54 |====================================================================
b . 13.57 |====================================================================
Blender 3.4
Blend File: BMW27 - Compute: CPU-Only
Seconds < Lower Is Better
a . 53.91 |====================================================================
b . 53.95 |====================================================================
Neural Magic DeepSparse 1.1
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 37.44 |====================================================================
b . 36.48 |==================================================================
Neural Magic DeepSparse 1.1
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 26.70 |==================================================================
b . 27.41 |====================================================================
Facebook RocksDB 7.5.3
Test: Sequential Fill
Op/s > Higher Is Better
a . 922415 |===================================================================
b . 876834 |================================================================
Stargate Digital Audio Workstation 22.11.5
Sample Rate: 44100 - Buffer Size: 512
Render Ratio > Higher Is Better
a . 3.892921 |=================================================================
b . 2.678564 |=============================================
AOM AV1 3.5
Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 14.13 |====================================================================
b . 14.23 |====================================================================
Neural Magic DeepSparse 1.1
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 74.70 |====================================================================
b . 75.08 |====================================================================
Neural Magic DeepSparse 1.1
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 13.39 |====================================================================
b . 13.32 |====================================================================
Neural Magic DeepSparse 1.1
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 74.92 |====================================================================
b . 75.03 |====================================================================
Neural Magic DeepSparse 1.1
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 13.35 |====================================================================
b . 13.33 |====================================================================
Neural Magic DeepSparse 1.1
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 23.16 |=================================================================
b . 24.34 |====================================================================
Neural Magic DeepSparse 1.1
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 43.16 |====================================================================
b . 41.08 |=================================================================
Stargate Digital Audio Workstation 22.11.5
Sample Rate: 480000 - Buffer Size: 512
Render Ratio > Higher Is Better
a . 4.122029 |=================================================================
b . 2.722708 |===========================================
SVT-AV1 1.4
Encoder Mode: Preset 4 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 3.500 |====================================================================
b . 3.521 |====================================================================
Xmrig 6.18.1
Variant: Wownero - Hash Count: 1M
H/s > Higher Is Better
a . 21153.3 |==================================================================
b . 21018.6 |==================================================================
libavif avifenc 0.11
Encoder Speed: 2
Seconds < Lower Is Better
a . 47.56 |====================================================================
b . 47.64 |====================================================================
Timed Wasmer Compilation 2.3
Time To Compile
Seconds < Lower Is Better
a . 46.86 |====================================================================
b . 46.96 |====================================================================
Stargate Digital Audio Workstation 22.11.5
Sample Rate: 96000 - Buffer Size: 1024
Render Ratio > Higher Is Better
a . 3.681535 |==============================================================
b . 3.845343 |=================================================================
FFmpeg 5.1.2
Encoder: libx264 - Scenario: Live
FPS > Higher Is Better
a . 198.58 |==================================================================
b . 200.46 |===================================================================
FFmpeg 5.1.2
Encoder: libx264 - Scenario: Live
Seconds < Lower Is Better
a . 25.43 |====================================================================
b . 25.19 |===================================================================
Timed Linux Kernel Compilation 6.1
Build: defconfig
Seconds < Lower Is Better
a . 43.94 |====================================================================
b . 44.00 |====================================================================
Timed PHP Compilation 8.1.9
Time To Compile
Seconds < Lower Is Better
a . 43.61 |====================================================================
b . 43.70 |====================================================================
TensorFlow 2.10
Device: CPU - Batch Size: 16 - Model: GoogLeNet
images/sec > Higher Is Better
a . 44.45 |====================================================================
b . 44.39 |====================================================================
Neural Magic DeepSparse 1.1
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 77.45 |====================================================================
b . 77.51 |====================================================================
Neural Magic DeepSparse 1.1
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 154.89 |===================================================================
b . 154.76 |===================================================================
EnCodec 0.1.1
Target Bandwidth: 24 kbps
Seconds < Lower Is Better
a . 42.08 |====================================================================
b . 42.31 |====================================================================
Neural Magic DeepSparse 1.1
Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 111.39 |===================================================================
b . 112.01 |===================================================================
Neural Magic DeepSparse 1.1
Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 107.48 |===================================================================
b . 106.87 |===================================================================
Neural Magic DeepSparse 1.1
Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 11.94 |====================================================================
b . 11.96 |====================================================================
Neural Magic DeepSparse 1.1
Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 83.67 |====================================================================
b . 83.59 |====================================================================
WebP Image Encode 1.2.4
Encode Settings: Quality 100, Lossless, Highest Compression
MP/s > Higher Is Better
a . 0.61 |=====================================================================
b . 0.61 |=====================================================================
Numenta Anomaly Benchmark 1.1
Detector: Contextual Anomaly Detector OSE
Seconds < Lower Is Better
a . 38.98 |====================================================================
b . 39.16 |====================================================================
Neural Magic DeepSparse 1.1
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 53.96 |====================================================================
b . 54.02 |====================================================================
Neural Magic DeepSparse 1.1
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 222.16 |===================================================================
b . 221.88 |===================================================================
srsRAN 22.04.1
Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM
UE Mb/s > Higher Is Better
a . 160.2 |====================================================================
b . 160.7 |====================================================================
srsRAN 22.04.1
Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM
eNb Mb/s > Higher Is Better
a . 402.5 |====================================================================
b . 403.8 |====================================================================
EnCodec 0.1.1
Target Bandwidth: 3 kbps
Seconds < Lower Is Better
a . 38.19 |====================================================================
b . 38.43 |====================================================================
EnCodec 0.1.1
Target Bandwidth: 6 kbps
Seconds < Lower Is Better
a . 37.60 |===================================================================
b . 37.90 |====================================================================
Neural Magic DeepSparse 1.1
Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 16.69 |====================================================================
b . 16.78 |====================================================================
Neural Magic DeepSparse 1.1
Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 59.87 |====================================================================
b . 59.54 |====================================================================
Neural Magic DeepSparse 1.1
Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 8.8688 |===================================================================
b . 8.7988 |==================================================================
Neural Magic DeepSparse 1.1
Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 112.66 |==================================================================
b . 113.55 |===================================================================
Unvanquished 0.53
Resolution: 1920 x 1080 - Effects Quality: Ultra
Frames Per Second > Higher Is Better
a . 248.6 |===========================================================
b . 286.5 |====================================================================
Unvanquished 0.53
Resolution: 1920 x 1080 - Effects Quality: High
Frames Per Second > Higher Is Better
a . 257.0 |==================================================================
b . 263.3 |====================================================================
EnCodec 0.1.1
Target Bandwidth: 1.5 kbps
Seconds < Lower Is Better
a . 36.01 |===================================================================
b . 36.37 |====================================================================
Redis 7.0.4
Test: SET - Parallel Connections: 50
Requests Per Second > Higher Is Better
a . 1746939.25 |===============================================================
b . 1590308.75 |=========================================================
ASTC Encoder 4.0
Preset: Exhaustive
MT/s > Higher Is Better
a . 1.5739 |===================================================================
b . 1.5693 |===================================================================
Redis 7.0.4
Test: SET - Parallel Connections: 500
Requests Per Second > Higher Is Better
a . 1784408.0 |================================================================
b . 1797429.5 |================================================================
Unvanquished 0.53
Resolution: 1920 x 1080 - Effects Quality: Medium
Frames Per Second > Higher Is Better
a . 260.0 |===================================================================
b . 262.8 |====================================================================
Stargate Digital Audio Workstation 22.11.5
Sample Rate: 480000 - Buffer Size: 1024
Render Ratio > Higher Is Better
a . 4.917282 |==============================================================
b . 5.196953 |=================================================================
srsRAN 22.04.1
Test: OFDM_Test
Samples / Second > Higher Is Better
a . 140100000 |==============================================================
b . 144000000 |================================================================
srsRAN 22.04.1
Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM
UE Mb/s > Higher Is Better
a . 150.6 |====================================================================
b . 150.1 |====================================================================
srsRAN 22.04.1
Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM
eNb Mb/s > Higher Is Better
a . 376.6 |====================================================================
b . 375.1 |====================================================================
Stargate Digital Audio Workstation 22.11.5
Sample Rate: 44100 - Buffer Size: 1024
Render Ratio > Higher Is Better
a . 5.223813 |================================================================
b . 5.307245 |=================================================================
Scikit-Learn 1.1.3
Benchmark: TSNE MNIST Dataset
Seconds < Lower Is Better
a . 31.59 |===================================================================
b . 31.93 |====================================================================
TensorFlow 2.10
Device: CPU - Batch Size: 16 - Model: AlexNet
images/sec > Higher Is Better
a . 62.47 |===================================================================
b . 63.15 |====================================================================
7-Zip Compression 22.01
Test: Decompression Rating
MIPS > Higher Is Better
a . 177640 |===================================================================
b . 170171 |================================================================
7-Zip Compression 22.01
Test: Compression Rating
MIPS > Higher Is Better
a . 167681 |===================================================================
b . 168680 |===================================================================
Stress-NG 0.14.06
Test: Glibc C String Functions
Bogo Ops/s > Higher Is Better
a . 4187483.04 |===============================================================
b . 4118591.13 |==============================================================
Stress-NG 0.14.06
Test: Context Switching
Bogo Ops/s > Higher Is Better
a . 9618965.78 |==============================================================
b . 9774697.61 |===============================================================
Stress-NG 0.14.06
Test: Atomic
Bogo Ops/s > Higher Is Better
a . 421253.99 |================================================================
b . 421495.46 |================================================================
Stress-NG 0.14.06
Test: Futex
Bogo Ops/s > Higher Is Better
a . 3430545.94 |===============================================================
b . 3166174.89 |==========================================================
Stress-NG 0.14.06
Test: Memory Copying
Bogo Ops/s > Higher Is Better
a . 4863.37 |==================================================================
b . 4839.31 |==================================================================
Stress-NG 0.14.06
Test: IO_uring
Bogo Ops/s > Higher Is Better
a . 22416.27 |=================================================================
b . 17193.98 |==================================================
Stress-NG 0.14.06
Test: Malloc
Bogo Ops/s > Higher Is Better
a . 50825608.57 |==============================================================
b . 50473178.15 |==============================================================
Stress-NG 0.14.06
Test: MEMFD
Bogo Ops/s > Higher Is Better
a . 891.86 |===================================================================
b . 887.76 |===================================================================
Stress-NG 0.14.06
Test: CPU Stress
Bogo Ops/s > Higher Is Better
a . 63007.36 |===============================================================
b . 65071.90 |=================================================================
Stress-NG 0.14.06
Test: Forking
Bogo Ops/s > Higher Is Better
a . 53674.14 |=================================================================
b . 52953.36 |================================================================
Stress-NG 0.14.06
Test: NUMA
Bogo Ops/s > Higher Is Better
a . 604.44 |===================================================================
b . 591.09 |==================================================================
Stress-NG 0.14.06
Test: System V Message Passing
Bogo Ops/s > Higher Is Better
a . 9343696.19 |===============================================================
b . 9276368.69 |===============================================================
Stress-NG 0.14.06
Test: Semaphores
Bogo Ops/s > Higher Is Better
a . 4869829.14 |===============================================================
b . 4868774.73 |===============================================================
Stress-NG 0.14.06
Test: MMAP
Bogo Ops/s > Higher Is Better
a . 383.32 |===================================================================
b . 382.19 |===================================================================
Stress-NG 0.14.06
Test: Glibc Qsort Data Sorting
Bogo Ops/s > Higher Is Better
a . 385.80 |===================================================================
b . 385.67 |===================================================================
Stress-NG 0.14.06
Test: Vector Math
Bogo Ops/s > Higher Is Better
a . 178859.70 |================================================================
b . 178430.01 |================================================================
Stress-NG 0.14.06
Test: CPU Cache
Bogo Ops/s > Higher Is Better
a . 174.95 |===============================================================
b . 186.95 |===================================================================
Stress-NG 0.14.06
Test: Socket Activity
Bogo Ops/s > Higher Is Better
a . 15355.92 |================================================================
b . 15707.68 |=================================================================
Stress-NG 0.14.06
Test: Crypto
Bogo Ops/s > Higher Is Better
a . 44751.55 |=================================================================
b . 44653.67 |=================================================================
Stress-NG 0.14.06
Test: Mutex
Bogo Ops/s > Higher Is Better
a . 12785778.73 |==============================================================
b . 12810594.01 |==============================================================
Stress-NG 0.14.06
Test: Matrix Math
Bogo Ops/s > Higher Is Better
a . 140597.25 |================================================================
b . 138081.21 |===============================================================
Stress-NG 0.14.06
Test: SENDFILE
Bogo Ops/s > Higher Is Better
a . 414239.19 |================================================================
b . 411184.40 |================================================================
Redis 7.0.4
Test: GET - Parallel Connections: 500
Requests Per Second > Higher Is Better
a . 2271735.25 |===============================================================
b . 2214977.25 |=============================================================
Redis 7.0.4
Test: GET - Parallel Connections: 50
Requests Per Second > Higher Is Better
a . 2481064.75 |===============================================================
b . 2015000.12 |===================================================
Natron 2.4.3
Input: Spaceship
FPS > Higher Is Better
a . 4.2 |======================================================================
b . 4.2 |======================================================================
rav1e 0.6.1
Speed: 1
Frames Per Second > Higher Is Better
a . 0.780 |====================================================================
b . 0.778 |====================================================================
Y-Cruncher 0.7.10.9513
Pi Digits To Calculate: 1B
Seconds < Lower Is Better
a . 22.83 |====================================================================
b . 22.92 |====================================================================
AOM AV1 3.5
Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 25.31 |====================================================================
b . 24.61 |==================================================================
JPEG XL Decoding libjxl 0.7
CPU Threads: All
MP/s > Higher Is Better
a . 245.68 |=================================================================
b . 251.91 |===================================================================
AOM AV1 3.5
Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 34.60 |====================================================================
b . 34.15 |===================================================================
srsRAN 22.04.1
Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM
UE Mb/s > Higher Is Better
a . 60.2 |=====================================================================
b . 60.2 |=====================================================================
srsRAN 22.04.1
Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM
eNb Mb/s > Higher Is Better
a . 106.8 |====================================================================
b . 107.1 |====================================================================
rav1e 0.6.1
Speed: 5
Frames Per Second > Higher Is Better
a . 2.741 |====================================================================
b . 2.748 |====================================================================
SVT-AV1 1.4
Encoder Mode: Preset 4 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 8.046 |====================================================================
b . 7.877 |===================================================================
AOM AV1 3.5
Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 0.96 |====================================================================
b . 0.97 |=====================================================================
oneDNN 3.0
Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 6.06539 |=================================================================
b . 6.16553 |==================================================================
oneDNN 3.0
Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 1.68952 |================================================================
b . 1.74252 |==================================================================
ASTC Encoder 4.0
Preset: Thorough
MT/s > Higher Is Better
a . 14.41 |====================================================================
b . 14.38 |====================================================================
Numenta Anomaly Benchmark 1.1
Detector: Bayesian Changepoint
Seconds < Lower Is Better
a . 20.15 |===================================================================
b . 20.56 |====================================================================
AOM AV1 3.5
Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 31.97 |====================================================================
b . 32.16 |====================================================================
srsRAN 22.04.1
Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM
UE Mb/s > Higher Is Better
a . 175.5 |====================================================================
b . 170.0 |==================================================================
srsRAN 22.04.1
Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM
eNb Mb/s > Higher Is Better
a . 413.1 |====================================================================
b . 401.2 |==================================================================
FLAC Audio Encoding 1.4
WAV To FLAC
Seconds < Lower Is Better
a . 17.80 |===================================================================
b . 17.96 |====================================================================
rav1e 0.6.1
Speed: 6
Frames Per Second > Higher Is Better
a . 3.656 |====================================================================
b . 3.641 |====================================================================
WebP Image Encode 1.2.4
Encode Settings: Quality 100, Lossless
MP/s > Higher Is Better
a . 1.50 |====================================================================
b . 1.52 |=====================================================================
AOM AV1 3.5
Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 40.29 |===================================================================
b . 40.76 |====================================================================
AOM AV1 3.5
Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 40.37 |===================================================================
b . 40.93 |====================================================================
Timed CPython Compilation 3.10.6
Build Configuration: Default
Seconds < Lower Is Better
a . 15.43 |====================================================================
b . 15.41 |====================================================================
srsRAN 22.04.1
Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM
UE Mb/s > Higher Is Better
a . 162.9 |====================================================================
b . 162.2 |====================================================================
srsRAN 22.04.1
Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM
eNb Mb/s > Higher Is Better
a . 376.6 |====================================================================
b . 375.9 |====================================================================
oneDNN 3.0
Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 1.50644 |================================================================
b . 1.54322 |==================================================================
oneDNN 3.0
Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 1.43493 |================================================================
b . 1.47047 |==================================================================
AOM AV1 3.5
Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 43.08 |====================================================================
b . 43.34 |====================================================================
SVT-AV1 1.4
Encoder Mode: Preset 8 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 56.69 |====================================================================
b . 56.49 |====================================================================
Y-Cruncher 0.7.10.9513
Pi Digits To Calculate: 500M
Seconds < Lower Is Better
a . 11.14 |====================================================================
b . 11.22 |====================================================================
Numenta Anomaly Benchmark 1.1
Detector: Relative Entropy
Seconds < Lower Is Better
a . 13.21 |====================================================================
b . 13.11 |===================================================================
SMHasher 2022-08-22
Hash: FarmHash128
cycles/hash < Lower Is Better
a . 63.80 |====================================================================
b . 63.86 |====================================================================
SMHasher 2022-08-22
Hash: FarmHash128
MiB/sec > Higher Is Better
a . 15823.93 |=================================================================
b . 15708.02 |=================================================================
rav1e 0.6.1
Speed: 10
Frames Per Second > Higher Is Better
a . 8.018 |====================================================================
b . 7.997 |====================================================================
ASTC Encoder 4.0
Preset: Fast
MT/s > Higher Is Better
a . 366.33 |===================================================================
b . 364.32 |===================================================================
oneDNN 3.0
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 4.48456 |==================================================================
b . 4.27034 |===============================================================
oneDNN 3.0
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 6.54191 |==================================================================
b . 4.74470 |================================================
SMHasher 2022-08-22
Hash: MeowHash x86_64 AES-NI
cycles/hash < Lower Is Better
a . 57.72 |====================================================================
b . 57.93 |====================================================================
SMHasher 2022-08-22
Hash: MeowHash x86_64 AES-NI
MiB/sec > Higher Is Better
a . 37533.1 |==================================================================
b . 37302.0 |==================================================================
SMHasher 2022-08-22
Hash: Spooky32
cycles/hash < Lower Is Better
a . 51.66 |====================================================================
b . 51.63 |====================================================================
SMHasher 2022-08-22
Hash: Spooky32
MiB/sec > Higher Is Better
a . 14254.70 |=================================================================
b . 14206.73 |=================================================================
AOM AV1 3.5
Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 60.72 |===================================================================
b . 62.08 |====================================================================
SMHasher 2022-08-22
Hash: FarmHash32 x86_64 AVX
cycles/hash < Lower Is Better
a . 43.28 |====================================================================
b . 43.29 |====================================================================
SMHasher 2022-08-22
Hash: FarmHash32 x86_64 AVX
MiB/sec > Higher Is Better
a . 27249.95 |=================================================================
b . 26861.97 |================================================================
oneDNN 3.0
Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 5.89944 |==================================================================
b . 5.91961 |==================================================================
oneDNN 3.0
Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 0.652318 |=======================================================
b . 0.777800 |=================================================================
SMHasher 2022-08-22
Hash: fasthash32
cycles/hash < Lower Is Better
a . 37.18 |====================================================================
b . 37.26 |====================================================================
SMHasher 2022-08-22
Hash: fasthash32
MiB/sec > Higher Is Better
a . 6591.27 |==================================================================
b . 6553.70 |==================================================================
AOM AV1 3.5
Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 72.59 |===================================================================
b . 73.28 |====================================================================
AOM AV1 3.5
Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 72.52 |===================================================================
b . 73.76 |====================================================================
SMHasher 2022-08-22
Hash: t1ha2_atonce
cycles/hash < Lower Is Better
a . 34.76 |===================================================================
b . 35.02 |====================================================================
SMHasher 2022-08-22
Hash: t1ha2_atonce
MiB/sec > Higher Is Better
a . 15569.87 |=================================================================
b . 15465.65 |=================================================================
SMHasher 2022-08-22
Hash: t1ha0_aes_avx2 x86_64
cycles/hash < Lower Is Better
a . 34.72 |===================================================================
b . 35.16 |====================================================================
SMHasher 2022-08-22
Hash: t1ha0_aes_avx2 x86_64
MiB/sec > Higher Is Better
a . 66642.16 |=================================================================
b . 65731.67 |================================================================
ASTC Encoder 4.0
Preset: Medium
MT/s > Higher Is Better
a . 120.33 |===================================================================
b . 120.08 |===================================================================
libavif avifenc 0.11
Encoder Speed: 6, Lossless
Seconds < Lower Is Better
a . 7.607 |====================================================================
b . 7.571 |====================================================================
WebP Image Encode 1.2.4
Encode Settings: Quality 100, Highest Compression
MP/s > Higher Is Better
a . 3.44 |=====================================================================
b . 3.41 |====================================================================
SVT-AV1 1.4
Encoder Mode: Preset 12 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 147.34 |===================================================================
b . 129.52 |===========================================================
Unpacking The Linux Kernel 5.19
linux-5.19.tar.xz
Seconds < Lower Is Better
a . 7.006 |===================================================================
b . 7.096 |====================================================================
SMHasher 2022-08-22
Hash: wyhash
cycles/hash < Lower Is Better
a . 26.33 |====================================================================
b . 26.39 |====================================================================
SMHasher 2022-08-22
Hash: wyhash
MiB/sec > Higher Is Better
a . 23068.13 |=================================================================
b . 22791.83 |================================================================
SVT-AV1 1.4
Encoder Mode: Preset 8 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 111.93 |==================================================================
b . 113.86 |===================================================================
Numenta Anomaly Benchmark 1.1
Detector: Windowed Gaussian
Seconds < Lower Is Better
a . 6.199 |===================================================================
b . 6.327 |====================================================================
oneDNN 3.0
Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 9.16751 |==================================================================
b . 9.15733 |==================================================================
oneDNN 3.0
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 9.02473 |===============================================================
b . 9.42618 |==================================================================
SVT-AV1 1.4
Encoder Mode: Preset 13 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 145.75 |==================================================================
b . 148.19 |===================================================================
libavif avifenc 0.11
Encoder Speed: 10, Lossless
Seconds < Lower Is Better
a . 5.153 |====================================================================
b . 5.078 |===================================================================
libavif avifenc 0.11
Encoder Speed: 6
Seconds < Lower Is Better
a . 4.012 |====================================================================
b . 4.008 |====================================================================
oneDNN 3.0
Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 2.63187 |================================================================
b . 2.69706 |==================================================================
WebP2 Image Encode 20220823
Encode Settings: Quality 100, Compression Effort 5
MP/s > Higher Is Better
a . 8.39 |=====================================================================
b . 8.43 |=====================================================================
oneDNN 3.0
Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 2.06629 |=================================================================
b . 2.09863 |==================================================================
WebP2 Image Encode 20220823
Encode Settings: Default
MP/s > Higher Is Better
a . 9.60 |================================================================
b . 10.27 |====================================================================
SVT-AV1 1.4
Encoder Mode: Preset 12 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 400.81 |===================================================================
b . 403.43 |===================================================================
WebP Image Encode 1.2.4
Encode Settings: Quality 100
MP/s > Higher Is Better
a . 11.10 |====================================================================
b . 11.04 |====================================================================
SVT-AV1 1.4
Encoder Mode: Preset 13 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 359.56 |===================================================================
b . 359.18 |===================================================================
WebP Image Encode 1.2.4
Encode Settings: Default
MP/s > Higher Is Better
a . 17.87 |====================================================================
b . 17.78 |====================================================================
nginx 1.23.2
Connections: 4000
Requests Per Second > Higher Is Better
nginx 1.23.2
Connections: 1
Requests Per Second > Higher Is Better
Stress-NG 0.14.06
Test: x86_64 RdRand
oneDNN 3.0
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
oneDNN 3.0
Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
oneDNN 3.0
Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
oneDNN 3.0
Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
oneDNN 3.0
Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
oneDNN 3.0
Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
nginx 1.23.2
Connections: 20
Requests Per Second > Higher Is Better
Stream 2013-01-17
Type: Add
MB/s > Higher Is Better
a . 36849.4 |==================================================================
b . 37116.0 |==================================================================
Stream 2013-01-17
Type: Triad
MB/s > Higher Is Better
a . 36787.1 |==================================================================
b . 37021.8 |==================================================================
Stream 2013-01-17
Type: Scale
MB/s > Higher Is Better
a . 33038.0 |==================================================================
b . 33173.5 |==================================================================