Tests for a future article. 2 x Intel Xeon Gold 5220R testing with a TYAN S7106 (V2.01.B40 BIOS) and ASPEED on Ubuntu 20.04 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 2212183-NE-CASCADELA10
cascade lake refresh
Tests for a future article. 2 x Intel Xeon Gold 5220R testing with a TYAN S7106 (V2.01.B40 BIOS) and ASPEED on Ubuntu 20.04 via the Phoronix Test Suite.
a:
Processor: 2 x Intel Xeon Gold 5220R @ 3.90GHz (36 Cores / 72 Threads), Motherboard: TYAN S7106 (V2.01.B40 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 94GB, Disk: 500GB Samsung SSD 860, Graphics: ASPEED, Monitor: VE228, Network: 2 x Intel I210 + 2 x QLogic cLOM8214 1/10GbE
OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc6-generic (x86_64) 20200920, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.13, Compiler: GCC 9.4.0, File-System: ext4, Screen Resolution: 1920x1080
b:
Processor: 2 x Intel Xeon Gold 5220R @ 3.90GHz (36 Cores / 72 Threads), Motherboard: TYAN S7106 (V2.01.B40 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 94GB, Disk: 500GB Samsung SSD 860, Graphics: ASPEED, Monitor: VE228, Network: 2 x Intel I210 + 2 x QLogic cLOM8214 1/10GbE
OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc6-generic (x86_64) 20200920, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.13, Compiler: GCC 9.4.0, File-System: ext4, Screen Resolution: 1920x1080
PostgreSQL 15
Scaling Factor: 100 - Clients: 1 - Mode: Read Write
TPS > Higher Is Better
a . 671 |======================================================================
b . 326 |==================================
PostgreSQL 15
Scaling Factor: 100 - Clients: 1 - Mode: Read Write - Average Latency
ms < Lower Is Better
a . 1.491 |=================================
b . 3.065 |====================================================================
PostgreSQL 15
Scaling Factor: 1 - Clients: 250 - Mode: Read Write - Average Latency
ms < Lower Is Better
a . 565.86 |======================================
b . 985.48 |===================================================================
PostgreSQL 15
Scaling Factor: 1 - Clients: 250 - Mode: Read Write
TPS > Higher Is Better
a . 442 |======================================================================
b . 254 |========================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 100 - Broadcast Inner Join Test Time
Seconds < Lower Is Better
a . 2.50 |=====================================================================
b . 1.54 |===========================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 100 - Repartition Test Time
Seconds < Lower Is Better
a . 2.63 |============================================
b . 4.09 |=====================================================================
PostgreSQL 15
Scaling Factor: 1 - Clients: 500 - Mode: Read Write
TPS > Higher Is Better
a . 297 |======================================================================
b . 201 |===============================================
PostgreSQL 15
Scaling Factor: 1 - Clients: 500 - Mode: Read Write - Average Latency
ms < Lower Is Better
a . 1682.55 |=============================================
b . 2481.62 |==================================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 2000 - Broadcast Inner Join Test Time
Seconds < Lower Is Better
a . 4.26 |===============================================
b . 6.22 |=====================================================================
PostgreSQL 15
Scaling Factor: 1 - Clients: 100 - Mode: Read Write
TPS > Higher Is Better
a . 623 |======================================================================
b . 431 |================================================
PostgreSQL 15
Scaling Factor: 1 - Clients: 100 - Mode: Read Write - Average Latency
ms < Lower Is Better
a . 160.47 |==============================================
b . 231.89 |===================================================================
ClickHouse 22.5.4.19
100M Rows Web Analytics Dataset, First Run / Cold Cache
Queries Per Minute, Geo Mean > Higher Is Better
a . 142.18 |==============================================
b . 205.30 |===================================================================
LAMMPS Molecular Dynamics Simulator 23Jun2022
Model: Rhodopsin Protein
ns/day > Higher Is Better
a . 17.95 |====================================================================
b . 13.09 |==================================================
Stress-NG 0.14.06
Test: Socket Activity
Bogo Ops/s > Higher Is Better
a . 26882.84 |=================================================================
b . 20197.23 |=================================================
Stargate Digital Audio Workstation 22.11.5
Sample Rate: 480000 - Buffer Size: 512
Render Ratio > Higher Is Better
a . 3.394244 |=================================================================
b . 2.559217 |=================================================
Dragonflydb 0.6
Clients: 50 - Set To Get Ratio: 1:1
Ops/sec > Higher Is Better
a . 707625.49 |=================================================
b . 930057.66 |================================================================
Stargate Digital Audio Workstation 22.11.5
Sample Rate: 96000 - Buffer Size: 1024
Render Ratio > Higher Is Better
a . 2.617020 |=================================================================
b . 2.019155 |==================================================
CockroachDB 22.2
Workload: KV, 10% Reads - Concurrency: 256
ops/s > Higher Is Better
a . 13759.6 |=====================================================
b . 17242.8 |==================================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 2000 - Inner Join Test Time
Seconds < Lower Is Better
a . 4.67 |=======================================================
b . 5.81 |=====================================================================
OpenVINO 2022.2.dev
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
ms < Lower Is Better
a . 0.98 |=========================================================
b . 1.18 |=====================================================================
OpenVINO 2022.2.dev
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
FPS > Higher Is Better
a . 36342.30 |=================================================================
b . 30254.31 |======================================================
Stress-NG 0.14.06
Test: CPU Cache
Bogo Ops/s > Higher Is Better
a . 89.3 |=====================================================================
b . 76.5 |===========================================================
TensorFlow 2.10
Device: CPU - Batch Size: 64 - Model: ResNet-50
images/sec > Higher Is Better
a . 19.21 |==========================================================
b . 22.42 |====================================================================
CockroachDB 22.2
Workload: KV, 10% Reads - Concurrency: 512
ops/s > Higher Is Better
a . 29267.4 |=========================================================
b . 34085.9 |==================================================================
PostgreSQL 15
Scaling Factor: 100 - Clients: 50 - Mode: Read Write - Average Latency
ms < Lower Is Better
a . 9.744 |==========================================================
b . 11.326 |===================================================================
PostgreSQL 15
Scaling Factor: 100 - Clients: 50 - Mode: Read Write
TPS > Higher Is Better
a . 5131 |=====================================================================
b . 4415 |===========================================================
EnCodec 0.1.1
Target Bandwidth: 3 kbps
Seconds < Lower Is Better
a . 40.41 |====================================================================
b . 35.12 |===========================================================
CockroachDB 22.2
Workload: KV, 60% Reads - Concurrency: 512
ops/s > Higher Is Better
a . 58375.2 |==========================================================
b . 66868.9 |==================================================================
oneDNN 2.7
Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 784.13 |===========================================================
b . 892.23 |===================================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 100 - Inner Join Test Time
Seconds < Lower Is Better
a . 3.23 |=====================================================================
b . 2.84 |=============================================================
CockroachDB 22.2
Workload: KV, 50% Reads - Concurrency: 128
ops/s > Higher Is Better
a . 12434.3 |==================================================================
b . 10945.5 |==========================================================
PostgreSQL 15
Scaling Factor: 1 - Clients: 1 - Mode: Read Write
TPS > Higher Is Better
a . 812 |======================================================================
b . 718 |==============================================================
PostgreSQL 15
Scaling Factor: 1 - Clients: 1 - Mode: Read Write - Average Latency
ms < Lower Is Better
a . 1.231 |============================================================
b . 1.392 |====================================================================
CockroachDB 22.2
Workload: MoVR - Concurrency: 256
ops/s > Higher Is Better
a . 202.9 |============================================================
b . 228.8 |====================================================================
Stress-NG 0.14.06
Test: Context Switching
Bogo Ops/s > Higher Is Better
a . 6260590.45 |========================================================
b . 7049324.49 |===============================================================
Dragonflydb 0.6
Clients: 200 - Set To Get Ratio: 5:1
Ops/sec > Higher Is Better
a . 942134.52 |================================================================
b . 839630.53 |=========================================================
Dragonflydb 0.6
Clients: 200 - Set To Get Ratio: 1:1
Ops/sec > Higher Is Better
a . 994293.90 |================================================================
b . 890721.27 |=========================================================
Facebook RocksDB 7.5.3
Test: Random Read
Op/s > Higher Is Better
a . 107719684 |=========================================================
b . 120010661 |================================================================
Dragonflydb 0.6
Clients: 200 - Set To Get Ratio: 1:5
Ops/sec > Higher Is Better
a . 1044459.26 |===============================================================
b . 937646.51 |=========================================================
Stargate Digital Audio Workstation 22.11.5
Sample Rate: 480000 - Buffer Size: 1024
Render Ratio > Higher Is Better
a . 2.90554 |===========================================================
b . 3.23369 |==================================================================
ClickHouse 22.5.4.19
100M Rows Web Analytics Dataset, Third Run
Queries Per Minute, Geo Mean > Higher Is Better
a . 198.59 |============================================================
b . 220.22 |===================================================================
AOM AV1 3.5
Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 23.87 |=============================================================
b . 26.43 |====================================================================
Stargate Digital Audio Workstation 22.11.5
Sample Rate: 44100 - Buffer Size: 512
Render Ratio > Higher Is Better
a . 3.281164 |=================================================================
b . 2.979784 |===========================================================
CockroachDB 22.2
Workload: KV, 60% Reads - Concurrency: 256
ops/s > Higher Is Better
a . 30111.3 |==================================================================
b . 27413.2 |============================================================
Stress-NG 0.14.06
Test: Futex
Bogo Ops/s > Higher Is Better
a . 1051825.91 |=========================================================
b . 1152673.55 |===============================================================
EnCodec 0.1.1
Target Bandwidth: 24 kbps
Seconds < Lower Is Better
a . 48.81 |==============================================================
b . 53.47 |====================================================================
NCNN 20220729
Target: CPU - Model: alexnet
ms < Lower Is Better
a . 8.45 |===============================================================
b . 9.25 |=====================================================================
NCNN 20220729
Target: CPU - Model: vgg16
ms < Lower Is Better
a . 35.89 |==============================================================
b . 39.21 |====================================================================
Numenta Anomaly Benchmark 1.1
Detector: KNN CAD
Seconds < Lower Is Better
a . 135.46 |=============================================================
b . 147.75 |===================================================================
Stress-NG 0.14.06
Test: Atomic
Bogo Ops/s > Higher Is Better
a . 126894.32 |================================================================
b . 116358.20 |===========================================================
NCNN 20220729
Target: CPU-v2-v2 - Model: mobilenet-v2
ms < Lower Is Better
a . 11.44 |==============================================================
b . 12.46 |====================================================================
Redis 7.0.4
Test: GET - Parallel Connections: 50
Requests Per Second > Higher Is Better
a . 2617818.25 |===============================================================
b . 2404467.25 |==========================================================
NCNN 20220729
Target: CPU - Model: FastestDet
ms < Lower Is Better
a . 15.69 |====================================================================
b . 14.43 |===============================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 2000 - Repartition Test Time
Seconds < Lower Is Better
a . 5.61 |=====================================================================
b . 5.16 |===============================================================
NCNN 20220729
Target: CPU - Model: efficientnet-b0
ms < Lower Is Better
a . 15.0 |===============================================================
b . 16.3 |=====================================================================
CockroachDB 22.2
Workload: KV, 60% Reads - Concurrency: 128
ops/s > Higher Is Better
a . 15412.3 |==================================================================
b . 14191.7 |=============================================================
NCNN 20220729
Target: CPU - Model: shufflenet-v2
ms < Lower Is Better
a . 11.83 |===============================================================
b . 12.81 |====================================================================
Redis 7.0.4
Test: GET - Parallel Connections: 500
Requests Per Second > Higher Is Better
a . 2908381.75 |===============================================================
b . 2700561.50 |==========================================================
NCNN 20220729
Target: CPU-v3-v3 - Model: mobilenet-v3
ms < Lower Is Better
a . 10.44 |===============================================================
b . 11.24 |====================================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 2000 - Group By Test Time
Seconds < Lower Is Better
a . 8.24 |=====================================================================
b . 7.68 |================================================================
EnCodec 0.1.1
Target Bandwidth: 1.5 kbps
Seconds < Lower Is Better
a . 41.89 |================================================================
b . 44.75 |====================================================================
NCNN 20220729
Target: CPU - Model: googlenet
ms < Lower Is Better
a . 21.60 |================================================================
b . 23.01 |====================================================================
JPEG XL libjxl 0.7
Input: JPEG - Quality: 100
MP/s > Higher Is Better
a . 0.49 |=====================================================================
b . 0.46 |=================================================================
Mobile Neural Network 2.1
Model: mobilenet-v1-1.0
ms < Lower Is Better
a . 3.695 |====================================================================
b . 3.487 |================================================================
CockroachDB 22.2
Workload: KV, 50% Reads - Concurrency: 256
ops/s > Higher Is Better
a . 24394.6 |==================================================================
b . 23024.3 |==============================================================
NCNN 20220729
Target: CPU - Model: mnasnet
ms < Lower Is Better
a . 10.43 |================================================================
b . 11.03 |====================================================================
AOM AV1 3.5
Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 5.62 |=================================================================
b . 5.94 |=====================================================================
CockroachDB 22.2
Workload: KV, 50% Reads - Concurrency: 512
ops/s > Higher Is Better
a . 49424.7 |==================================================================
b . 46804.8 |===============================================================
NCNN 20220729
Target: CPU - Model: squeezenet_ssd
ms < Lower Is Better
a . 29.15 |====================================================================
b . 27.75 |=================================================================
Dragonflydb 0.6
Clients: 50 - Set To Get Ratio: 1:5
Ops/sec > Higher Is Better
a . 989118.75 |============================================================
b . 1038762.14 |===============================================================
Xmrig 6.18.1
Variant: Monero - Hash Count: 1M
H/s > Higher Is Better
a . 9938.1 |===============================================================
b . 10411.8 |==================================================================
Stargate Digital Audio Workstation 22.11.5
Sample Rate: 192000 - Buffer Size: 512
Render Ratio > Higher Is Better
a . 1.044224 |==============================================================
b . 1.093912 |=================================================================
NCNN 20220729
Target: CPU - Model: regnety_400m
ms < Lower Is Better
a . 48.89 |=================================================================
b . 51.14 |====================================================================
SVT-AV1 1.4
Encoder Mode: Preset 4 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 2.631 |====================================================================
b . 2.524 |=================================================================
Stargate Digital Audio Workstation 22.11.5
Sample Rate: 96000 - Buffer Size: 512
Render Ratio > Higher Is Better
a . 1.840618 |=================================================================
b . 1.765949 |==============================================================
NCNN 20220729
Target: CPU - Model: blazeface
ms < Lower Is Better
a . 5.70 |==================================================================
b . 5.94 |=====================================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 2000 - SHA-512 Benchmark Time
Seconds < Lower Is Better
a . 5.48 |==================================================================
b . 5.71 |=====================================================================
ClickHouse 22.5.4.19
100M Rows Web Analytics Dataset, Second Run
Queries Per Minute, Geo Mean > Higher Is Better
a . 205.73 |================================================================
b . 213.89 |===================================================================
Numenta Anomaly Benchmark 1.1
Detector: Earthgecko Skyline
Seconds < Lower Is Better
a . 99.19 |====================================================================
b . 95.43 |=================================================================
Mobile Neural Network 2.1
Model: resnet-v2-50
ms < Lower Is Better
a . 15.24 |====================================================================
b . 14.66 |=================================================================
NCNN 20220729
Target: CPU - Model: yolov4-tiny
ms < Lower Is Better
a . 31.71 |==================================================================
b . 32.91 |====================================================================
CockroachDB 22.2
Workload: KV, 95% Reads - Concurrency: 128
ops/s > Higher Is Better
a . 89867.4 |==================================================================
b . 86632.5 |================================================================
Cpuminer-Opt 3.20.3
Algorithm: Myriad-Groestl
kH/s > Higher Is Better
a . 11570 |==================================================================
b . 12000 |====================================================================
WebP2 Image Encode 20220823
Encode Settings: Quality 75, Compression Effort 7
MP/s > Higher Is Better
a . 0.28 |=====================================================================
b . 0.27 |===================================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 100 - Group By Test Time
Seconds < Lower Is Better
a . 6.47 |=====================================================================
b . 6.24 |===================================================================
PostgreSQL 15
Scaling Factor: 1 - Clients: 1 - Mode: Read Only
TPS > Higher Is Better
a . 23407 |====================================================================
b . 22579 |==================================================================
SVT-AV1 1.4
Encoder Mode: Preset 13 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 106.68 |=================================================================
b . 110.56 |===================================================================
CockroachDB 22.2
Workload: KV, 50% Reads - Concurrency: 1024
ops/s > Higher Is Better
a . 61797.2 |================================================================
b . 63998.7 |==================================================================
CockroachDB 22.2
Workload: KV, 60% Reads - Concurrency: 1024
ops/s > Higher Is Better
a . 67899.4 |================================================================
b . 70300.1 |==================================================================
NCNN 20220729
Target: CPU - Model: resnet18
ms < Lower Is Better
a . 13.35 |==================================================================
b . 13.82 |====================================================================
Neural Magic DeepSparse 1.1
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 33.82 |==================================================================
b . 34.99 |====================================================================
Timed PHP Compilation 8.1.9
Time To Compile
Seconds < Lower Is Better
a . 57.28 |==================================================================
b . 59.27 |====================================================================
Neural Magic DeepSparse 1.1
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 29.56 |====================================================================
b . 28.57 |==================================================================
AOM AV1 3.5
Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 48.30 |====================================================================
b . 46.73 |==================================================================
libavif avifenc 0.11
Encoder Speed: 0
Seconds < Lower Is Better
a . 115.42 |===================================================================
b . 111.68 |=================================================================
CockroachDB 22.2
Workload: KV, 10% Reads - Concurrency: 128
ops/s > Higher Is Better
a . 6941.0 |===================================================================
b . 6717.4 |=================================================================
GraphicsMagick 1.3.38
Operation: Rotate
Iterations Per Minute > Higher Is Better
a . 594 |======================================================================
b . 575 |====================================================================
CockroachDB 22.2
Workload: KV, 10% Reads - Concurrency: 1024
ops/s > Higher Is Better
a . 38341.3 |================================================================
b . 39590.8 |==================================================================
Stress-NG 0.14.06
Test: System V Message Passing
Bogo Ops/s > Higher Is Better
a . 3795441.99 |===============================================================
b . 3677320.93 |=============================================================
CockroachDB 22.2
Workload: MoVR - Concurrency: 512
ops/s > Higher Is Better
a . 111.5 |====================================================================
b . 108.1 |==================================================================
Stargate Digital Audio Workstation 22.11.5
Sample Rate: 192000 - Buffer Size: 1024
Render Ratio > Higher Is Better
a . 1.601382 |===============================================================
b . 1.650224 |=================================================================
OpenVKL 1.3.1
Benchmark: vklBenchmark Scalar
Items / Sec > Higher Is Better
a . 176 |======================================================================
b . 171 |====================================================================
spaCy 3.4.1
Model: en_core_web_trf
tokens/sec > Higher Is Better
a . 2007 |=====================================================================
b . 1950 |===================================================================
libavif avifenc 0.11
Encoder Speed: 2
Seconds < Lower Is Better
a . 59.90 |====================================================================
b . 58.23 |==================================================================
miniBUDE 20210901
Implementation: OpenMP - Input Deck: BM1
GFInst/s > Higher Is Better
a . 735.75 |=================================================================
b . 756.81 |===================================================================
miniBUDE 20210901
Implementation: OpenMP - Input Deck: BM1
Billion Interactions/s > Higher Is Better
a . 29.43 |==================================================================
b . 30.27 |====================================================================
JPEG XL libjxl 0.7
Input: PNG - Quality: 80
MP/s > Higher Is Better
a . 8.15 |=====================================================================
b . 7.93 |===================================================================
AOM AV1 3.5
Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 19.60 |==================================================================
b . 20.13 |====================================================================
PostgreSQL 15
Scaling Factor: 100 - Clients: 100 - Mode: Read Write - Average Latency
ms < Lower Is Better
a . 16.54 |==================================================================
b . 16.98 |====================================================================
PostgreSQL 15
Scaling Factor: 100 - Clients: 100 - Mode: Read Write
TPS > Higher Is Better
a . 6045 |=====================================================================
b . 5890 |===================================================================
WebP2 Image Encode 20220823
Encode Settings: Default
MP/s > Higher Is Better
a . 6.59 |===================================================================
b . 6.76 |=====================================================================
AOM AV1 3.5
Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 13.58 |====================================================================
b . 13.24 |==================================================================
OpenVKL 1.3.1
Benchmark: vklBenchmark ISPC
Items / Sec > Higher Is Better
a . 362 |======================================================================
b . 353 |====================================================================
oneDNN 2.7
Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
a . 3.40068 |==================================================================
b . 3.31851 |================================================================
WebP2 Image Encode 20220823
Encode Settings: Quality 100, Compression Effort 5
MP/s > Higher Is Better
a . 7.27 |===================================================================
b . 7.45 |=====================================================================
PostgreSQL 15
Scaling Factor: 1 - Clients: 1 - Mode: Read Only - Average Latency
ms < Lower Is Better
a . 0.043 |==================================================================
b . 0.044 |====================================================================
GraphicsMagick 1.3.38
Operation: Swirl
Iterations Per Minute > Higher Is Better
a . 816 |======================================================================
b . 798 |====================================================================
SVT-AV1 1.4
Encoder Mode: Preset 4 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 6.245 |===================================================================
b . 6.385 |====================================================================
GraphicsMagick 1.3.38
Operation: HWB Color Space
Iterations Per Minute > Higher Is Better
a . 735 |======================================================================
b . 719 |====================================================================
PostgreSQL 15
Scaling Factor: 100 - Clients: 1 - Mode: Read Only - Average Latency
ms < Lower Is Better
a . 0.045 |===================================================================
b . 0.046 |====================================================================
OpenVINO 2022.2.dev
Model: Vehicle Detection FP16 - Device: CPU
FPS > Higher Is Better
a . 421.71 |===================================================================
b . 412.75 |==================================================================
OpenVINO 2022.2.dev
Model: Vehicle Detection FP16 - Device: CPU
ms < Lower Is Better
a . 21.30 |===================================================================
b . 21.76 |====================================================================
Numenta Anomaly Benchmark 1.1
Detector: Bayesian Changepoint
Seconds < Lower Is Better
a . 34.99 |===================================================================
b . 35.73 |====================================================================
Node.js V8 Web Tooling Benchmark
runs/s > Higher Is Better
a . 9.93 |===================================================================
b . 10.14 |====================================================================
JPEG XL libjxl 0.7
Input: PNG - Quality: 100
MP/s > Higher Is Better
a . 0.49 |=====================================================================
b . 0.48 |====================================================================
BRL-CAD 7.32.6
VGR Performance Metric
VGR Performance Metric > Higher Is Better
a . 257085 |===================================================================
b . 251911 |==================================================================
oneDNN 2.7
Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
a . 1409.26 |==================================================================
b . 1381.57 |=================================================================
NCNN 20220729
Target: CPU - Model: mobilenet
ms < Lower Is Better
a . 23.38 |====================================================================
b . 22.93 |===================================================================
SVT-AV1 1.4
Encoder Mode: Preset 12 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 120.58 |===================================================================
b . 118.27 |==================================================================
oneDNN 2.7
Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
a . 786.58 |==================================================================
b . 801.80 |===================================================================
Facebook RocksDB 7.5.3
Test: Read While Writing
Op/s > Higher Is Better
a . 5155074 |=================================================================
b . 5254605 |==================================================================
Xmrig 6.18.1
Variant: Wownero - Hash Count: 1M
H/s > Higher Is Better
a . 16896.5 |==================================================================
b . 16579.3 |=================================================================
JPEG XL Decoding libjxl 0.7
CPU Threads: 1
MP/s > Higher Is Better
a . 33.54 |====================================================================
b . 32.92 |===================================================================
OpenVINO 2022.2.dev
Model: Person Vehicle Bike Detection FP16 - Device: CPU
FPS > Higher Is Better
a . 687.33 |===================================================================
b . 674.84 |==================================================================
PostgreSQL 15
Scaling Factor: 100 - Clients: 500 - Mode: Read Write
TPS > Higher Is Better
a . 7613 |=====================================================================
b . 7475 |====================================================================
OpenRadioss 2022.10.13
Model: Bird Strike on Windshield
Seconds < Lower Is Better
a . 205.44 |===================================================================
b . 201.72 |==================================================================
PostgreSQL 15
Scaling Factor: 100 - Clients: 500 - Mode: Read Write - Average Latency
ms < Lower Is Better
a . 65.68 |===================================================================
b . 66.89 |====================================================================
PostgreSQL 15
Scaling Factor: 100 - Clients: 100 - Mode: Read Only
TPS > Higher Is Better
a . 882773 |==================================================================
b . 899014 |===================================================================
OpenVINO 2022.2.dev
Model: Person Vehicle Bike Detection FP16 - Device: CPU
ms < Lower Is Better
a . 13.06 |===================================================================
b . 13.30 |====================================================================
PostgreSQL 15
Scaling Factor: 100 - Clients: 100 - Mode: Read Only - Average Latency
ms < Lower Is Better
a . 0.113 |====================================================================
b . 0.111 |===================================================================
Y-Cruncher 0.7.10.9513
Pi Digits To Calculate: 500M
Seconds < Lower Is Better
a . 11.12 |===================================================================
b . 11.32 |====================================================================
JPEG XL libjxl 0.7
Input: PNG - Quality: 90
MP/s > Higher Is Better
a . 8.03 |=====================================================================
b . 7.89 |====================================================================
PostgreSQL 15
Scaling Factor: 100 - Clients: 250 - Mode: Read Write - Average Latency
ms < Lower Is Better
a . 34.87 |===================================================================
b . 35.48 |====================================================================
PostgreSQL 15
Scaling Factor: 100 - Clients: 250 - Mode: Read Write
TPS > Higher Is Better
a . 7170 |=====================================================================
b . 7046 |====================================================================
CockroachDB 22.2
Workload: MoVR - Concurrency: 1024
ops/s > Higher Is Better
a . 111.1 |====================================================================
b . 109.2 |===================================================================
Stress-NG 0.14.06
Test: Glibc Qsort Data Sorting
Bogo Ops/s > Higher Is Better
a . 417.0 |===================================================================
b . 424.2 |====================================================================
JPEG XL libjxl 0.7
Input: JPEG - Quality: 90
MP/s > Higher Is Better
a . 7.69 |=====================================================================
b . 7.56 |====================================================================
Redis 7.0.4
Test: GET - Parallel Connections: 1000
Requests Per Second > Higher Is Better
a . 2852955.50 |===============================================================
b . 2805580.75 |==============================================================
EnCodec 0.1.1
Target Bandwidth: 6 kbps
Seconds < Lower Is Better
a . 40.51 |====================================================================
b . 39.85 |===================================================================
Mobile Neural Network 2.1
Model: inception-v3
ms < Lower Is Better
a . 36.76 |====================================================================
b . 36.17 |===================================================================
Neural Magic DeepSparse 1.1
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 18.65 |====================================================================
b . 18.36 |===================================================================
Mobile Neural Network 2.1
Model: mobilenetV3
ms < Lower Is Better
a . 3.386 |====================================================================
b . 3.334 |===================================================================
CockroachDB 22.2
Workload: KV, 95% Reads - Concurrency: 1024
ops/s > Higher Is Better
a . 94378.8 |==================================================================
b . 92938.9 |=================================================================
oneDNN 2.7
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
a . 2.55381 |=================================================================
b . 2.59337 |==================================================================
Stress-NG 0.14.06
Test: SENDFILE
Bogo Ops/s > Higher Is Better
a . 437831.75 |===============================================================
b . 444590.02 |================================================================
Mobile Neural Network 2.1
Model: MobileNetV2_224
ms < Lower Is Better
a . 5.143 |===================================================================
b . 5.221 |====================================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 2000 - Calculate Pi Benchmark
Seconds < Lower Is Better
a . 64.83 |===================================================================
b . 65.80 |====================================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframe
Seconds < Lower Is Better
a . 4.78 |====================================================================
b . 4.85 |=====================================================================
miniBUDE 20210901
Implementation: OpenMP - Input Deck: BM2
GFInst/s > Higher Is Better
a . 776.35 |==================================================================
b . 787.50 |===================================================================
miniBUDE 20210901
Implementation: OpenMP - Input Deck: BM2
Billion Interactions/s > Higher Is Better
a . 31.05 |===================================================================
b . 31.50 |====================================================================
srsRAN 22.04.1
Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM
eNb Mb/s > Higher Is Better
a . 293.3 |====================================================================
b . 289.2 |===================================================================
Stargate Digital Audio Workstation 22.11.5
Sample Rate: 44100 - Buffer Size: 1024
Render Ratio > Higher Is Better
a . 3.634671 |=================================================================
b . 3.584121 |================================================================
AOM AV1 3.5
Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 0.72 |====================================================================
b . 0.73 |=====================================================================
SVT-AV1 1.4
Encoder Mode: Preset 8 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 85.02 |===================================================================
b . 86.18 |====================================================================
srsRAN 22.04.1
Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM
UE Mb/s > Higher Is Better
a . 130.9 |====================================================================
b . 129.2 |===================================================================
JPEG XL libjxl 0.7
Input: JPEG - Quality: 80
MP/s > Higher Is Better
a . 7.78 |=====================================================================
b . 7.68 |====================================================================
Stress-NG 0.14.06
Test: CPU Stress
Bogo Ops/s > Higher Is Better
a . 59047.56 |=================================================================
b . 58316.18 |================================================================
srsRAN 22.04.1
Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM
UE Mb/s > Higher Is Better
a . 136.3 |====================================================================
b . 134.7 |===================================================================
AOM AV1 3.5
Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 16.04 |===================================================================
b . 16.23 |====================================================================
TensorFlow 2.10
Device: CPU - Batch Size: 64 - Model: GoogLeNet
images/sec > Higher Is Better
a . 77.03 |====================================================================
b . 76.16 |===================================================================
Blender 3.4
Blend File: Classroom - Compute: CPU-Only
Seconds < Lower Is Better
a . 164.77 |===================================================================
b . 162.95 |==================================================================
7-Zip Compression 22.01
Test: Compression Rating
MIPS > Higher Is Better
a . 171677 |===================================================================
b . 169842 |==================================================================
CockroachDB 22.2
Workload: KV, 95% Reads - Concurrency: 256
ops/s > Higher Is Better
a . 98923.9 |=================================================================
b . 99986.0 |==================================================================
oneDNN 2.7
Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 781.00 |==================================================================
b . 789.36 |===================================================================
srsRAN 22.04.1
Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM
UE Mb/s > Higher Is Better
a . 126.1 |====================================================================
b . 124.8 |===================================================================
ASTC Encoder 4.0
Preset: Medium
MT/s > Higher Is Better
a . 138.09 |===================================================================
b . 136.69 |==================================================================
Timed Erlang/OTP Compilation 25.0
Time To Compile
Seconds < Lower Is Better
a . 121.47 |==================================================================
b . 122.71 |===================================================================
Stress-NG 0.14.06
Test: Memory Copying
Bogo Ops/s > Higher Is Better
a . 4644.12 |=================================================================
b . 4691.35 |==================================================================
TensorFlow 2.10
Device: CPU - Batch Size: 64 - Model: VGG-16
images/sec > Higher Is Better
a . 10.85 |===================================================================
b . 10.96 |====================================================================
Cpuminer-Opt 3.20.3
Algorithm: Blake-2 S
kH/s > Higher Is Better
a . 2216930 |=================================================================
b . 2239380 |==================================================================
Neural Magic DeepSparse 1.1
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 114.35 |==================================================================
b . 115.50 |===================================================================
Neural Magic DeepSparse 1.1
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 8.7441 |===================================================================
b . 8.6568 |==================================================================
Cpuminer-Opt 3.20.3
Algorithm: Ringcoin
kH/s > Higher Is Better
a . 3292.87 |=================================================================
b . 3325.86 |==================================================================
PostgreSQL 15
Scaling Factor: 1 - Clients: 50 - Mode: Read Write
TPS > Higher Is Better
a . 716 |======================================================================
b . 709 |=====================================================================
SVT-AV1 1.4
Encoder Mode: Preset 13 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 201.87 |===================================================================
b . 199.97 |==================================================================
Neural Magic DeepSparse 1.1
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 114.27 |==================================================================
b . 115.35 |===================================================================
TensorFlow 2.10
Device: CPU - Batch Size: 64 - Model: AlexNet
images/sec > Higher Is Better
a . 143.41 |===================================================================
b . 142.07 |==================================================================
Neural Magic DeepSparse 1.1
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 8.7499 |===================================================================
b . 8.6682 |==================================================================
Aircrack-ng 1.7
k/s > Higher Is Better
a . 99753.68 |=================================================================
b . 98829.75 |================================================================
srsRAN 22.04.1
Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM
eNb Mb/s > Higher Is Better
a . 324.2 |====================================================================
b . 321.2 |===================================================================
GraphicsMagick 1.3.38
Operation: Sharpen
Iterations Per Minute > Higher Is Better
a . 220 |======================================================================
b . 218 |=====================================================================
oneDNN 2.7
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 0.477096 |================================================================
b . 0.481461 |=================================================================
Stress-NG 0.14.06
Test: NUMA
Bogo Ops/s > Higher Is Better
a . 577.50 |===================================================================
b . 572.28 |==================================================================
srsRAN 22.04.1
Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM
eNb Mb/s > Higher Is Better
a . 294.0 |====================================================================
b . 291.4 |===================================================================
PostgreSQL 15
Scaling Factor: 1 - Clients: 50 - Mode: Read Write - Average Latency
ms < Lower Is Better
a . 69.87 |===================================================================
b . 70.48 |====================================================================
oneDNN 2.7
Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
a . 6.35819 |=================================================================
b . 6.41270 |==================================================================
srsRAN 22.04.1
Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM
UE Mb/s > Higher Is Better
a . 118.9 |====================================================================
b . 117.9 |===================================================================
JPEG XL Decoding libjxl 0.7
CPU Threads: All
MP/s > Higher Is Better
a . 80.94 |====================================================================
b . 80.26 |===================================================================
Facebook RocksDB 7.5.3
Test: Update Random
Op/s > Higher Is Better
a . 174193 |===================================================================
b . 172766 |==================================================================
TensorFlow 2.10
Device: CPU - Batch Size: 32 - Model: AlexNet
images/sec > Higher Is Better
a . 106.64 |===================================================================
b . 105.78 |==================================================================
WebP Image Encode 1.2.4
Encode Settings: Quality 100, Lossless
MP/s > Higher Is Better
a . 1.25 |=====================================================================
b . 1.24 |====================================================================
GraphicsMagick 1.3.38
Operation: Enhanced
Iterations Per Minute > Higher Is Better
a . 506 |======================================================================
b . 502 |=====================================================================
AOM AV1 3.5
Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 38.05 |====================================================================
b . 37.75 |===================================================================
FLAC Audio Encoding 1.4
WAV To FLAC
Seconds < Lower Is Better
a . 22.41 |===================================================================
b . 22.58 |====================================================================
AOM AV1 3.5
Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 22.76 |====================================================================
b . 22.59 |===================================================================
PostgreSQL 15
Scaling Factor: 100 - Clients: 250 - Mode: Read Only - Average Latency
ms < Lower Is Better
a . 0.271 |====================================================================
b . 0.273 |====================================================================
Mobile Neural Network 2.1
Model: SqueezeNetV1.0
ms < Lower Is Better
a . 7.533 |====================================================================
b . 7.588 |====================================================================
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 . 99.48 |====================================================================
b . 98.77 |====================================================================
Mobile Neural Network 2.1
Model: nasnet
ms < Lower Is Better
a . 22.53 |====================================================================
b . 22.37 |====================================================================
PostgreSQL 15
Scaling Factor: 100 - Clients: 250 - Mode: Read Only
TPS > Higher Is Better
a . 922066 |===================================================================
b . 915519 |===================================================================
Stress-NG 0.14.06
Test: Glibc C String Functions
Bogo Ops/s > Higher Is Better
a . 1715303.02 |===============================================================
b . 1703193.63 |===============================================================
Numenta Anomaly Benchmark 1.1
Detector: Windowed Gaussian
Seconds < Lower Is Better
a . 7.529 |====================================================================
b . 7.476 |====================================================================
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 . 180.54 |===================================================================
b . 181.80 |===================================================================
Redis 7.0.4
Test: SET - Parallel Connections: 500
Requests Per Second > Higher Is Better
a . 2217236.25 |===============================================================
b . 2232581.50 |===============================================================
Neural Magic DeepSparse 1.1
Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 135.75 |===================================================================
b . 136.68 |===================================================================
oneDNN 2.7
Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 11.48 |====================================================================
b . 11.56 |====================================================================
OpenVINO 2022.2.dev
Model: Machine Translation EN To DE FP16 - Device: CPU
FPS > Higher Is Better
a . 78.04 |====================================================================
b . 77.53 |====================================================================
libavif avifenc 0.11
Encoder Speed: 6, Lossless
Seconds < Lower Is Better
a . 10.043 |===================================================================
b . 9.978 |===================================================================
OpenVINO 2022.2.dev
Model: Machine Translation EN To DE FP16 - Device: CPU
ms < Lower Is Better
a . 115.20 |===================================================================
b . 115.95 |===================================================================
WebP Image Encode 1.2.4
Encode Settings: Default
MP/s > Higher Is Better
a . 13.83 |====================================================================
b . 13.92 |====================================================================
Neural Magic DeepSparse 1.1
Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 132.44 |===================================================================
b . 131.59 |===================================================================
Stress-NG 0.14.06
Test: Matrix Math
Bogo Ops/s > Higher Is Better
a . 124052.48 |================================================================
b . 123275.06 |================================================================
srsRAN 22.04.1
Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM
eNb Mb/s > Higher Is Better
a . 320.8 |====================================================================
b . 318.8 |====================================================================
AOM AV1 3.5
Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 22.89 |====================================================================
b . 22.75 |====================================================================
Numenta Anomaly Benchmark 1.1
Detector: Contextual Anomaly Detector OSE
Seconds < Lower Is Better
a . 50.62 |====================================================================
b . 50.91 |====================================================================
PostgreSQL 15
Scaling Factor: 1 - Clients: 500 - Mode: Read Only
TPS > Higher Is Better
a . 930850 |===================================================================
b . 925569 |===================================================================
PostgreSQL 15
Scaling Factor: 1 - Clients: 500 - Mode: Read Only - Average Latency
ms < Lower Is Better
a . 0.537 |====================================================================
b . 0.540 |====================================================================
SVT-AV1 1.4
Encoder Mode: Preset 8 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 36.59 |====================================================================
b . 36.39 |====================================================================
PostgreSQL 15
Scaling Factor: 100 - Clients: 1 - Mode: Read Only
TPS > Higher Is Better
a . 21981 |====================================================================
b . 21860 |====================================================================
GraphicsMagick 1.3.38
Operation: Resizing
Iterations Per Minute > Higher Is Better
a . 1092 |=====================================================================
b . 1098 |=====================================================================
Cpuminer-Opt 3.20.3
Algorithm: Quad SHA-256, Pyrite
kH/s > Higher Is Better
a . 401450 |===================================================================
b . 403630 |===================================================================
OSPRay Studio 0.11
Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer
ms < Lower Is Better
a . 78464 |====================================================================
b . 78883 |====================================================================
Cpuminer-Opt 3.20.3
Algorithm: scrypt
kH/s > Higher Is Better
a . 951.15 |===================================================================
b . 946.10 |===================================================================
OSPRay Studio 0.11
Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer
ms < Lower Is Better
a . 65864 |====================================================================
b . 66209 |====================================================================
OSPRay Studio 0.11
Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer
ms < Lower Is Better
a . 122216 |===================================================================
b . 122843 |===================================================================
Neural Magic DeepSparse 1.1
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 99.33 |====================================================================
b . 99.83 |====================================================================
OSPRay Studio 0.11
Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer
ms < Lower Is Better
a . 14608 |====================================================================
b . 14535 |====================================================================
OpenVINO 2022.2.dev
Model: Person Detection FP32 - Device: CPU
FPS > Higher Is Better
a . 4.03 |=====================================================================
b . 4.01 |=====================================================================
OpenFOAM 10
Input: drivaerFastback, Small Mesh Size - Execution Time
Seconds < Lower Is Better
a . 96.03 |====================================================================
b . 95.55 |====================================================================
Stress-NG 0.14.06
Test: MMAP
Bogo Ops/s > Higher Is Better
a . 564.44 |===================================================================
b . 561.69 |===================================================================
OpenVINO 2022.2.dev
Model: Vehicle Detection FP16-INT8 - Device: CPU
FPS > Higher Is Better
a . 1395.73 |==================================================================
b . 1388.97 |==================================================================
Blender 3.4
Blend File: Pabellon Barcelona - Compute: CPU-Only
Seconds < Lower Is Better
a . 192.12 |===================================================================
b . 191.19 |===================================================================
OpenVINO 2022.2.dev
Model: Vehicle Detection FP16-INT8 - Device: CPU
ms < Lower Is Better
a . 6.42 |=====================================================================
b . 6.45 |=====================================================================
Timed CPython Compilation 3.10.6
Build Configuration: Default
Seconds < Lower Is Better
a . 19.74 |====================================================================
b . 19.84 |====================================================================
oneDNN 2.7
Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 1.37489 |==================================================================
b . 1.38109 |==================================================================
OpenRadioss 2022.10.13
Model: Rubber O-Ring Seal Installation
Seconds < Lower Is Better
a . 114.39 |===================================================================
b . 114.90 |===================================================================
AOM AV1 3.5
Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 9.12 |=====================================================================
b . 9.08 |=====================================================================
Neural Magic DeepSparse 1.1
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 180.90 |===================================================================
b . 180.12 |===================================================================
Stress-NG 0.14.06
Test: MEMFD
Bogo Ops/s > Higher Is Better
a . 1021.04 |==================================================================
b . 1016.64 |==================================================================
Cpuminer-Opt 3.20.3
Algorithm: LBC, LBRY Credits
kH/s > Higher Is Better
a . 182930 |===================================================================
b . 183720 |===================================================================
Facebook RocksDB 7.5.3
Test: Read Random Write Random
Op/s > Higher Is Better
a . 2545133 |==================================================================
b . 2534266 |==================================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe
Seconds < Lower Is Better
a . 4.69 |=====================================================================
b . 4.71 |=====================================================================
PostgreSQL 15
Scaling Factor: 1 - Clients: 50 - Mode: Read Only
TPS > Higher Is Better
a . 675675 |===================================================================
b . 672851 |===================================================================
Stress-NG 0.14.06
Test: Forking
Bogo Ops/s > Higher Is Better
a . 41988.02 |=================================================================
b . 42163.36 |=================================================================
TensorFlow 2.10
Device: CPU - Batch Size: 16 - Model: GoogLeNet
images/sec > Higher Is Better
a . 46.37 |====================================================================
b . 46.18 |====================================================================
NCNN 20220729
Target: CPU - Model: vision_transformer
ms < Lower Is Better
a . 173.64 |===================================================================
b . 172.93 |===================================================================
LAMMPS Molecular Dynamics Simulator 23Jun2022
Model: 20k Atoms
ns/day > Higher Is Better
a . 15.75 |====================================================================
b . 15.68 |====================================================================
srsRAN 22.04.1
Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM
eNb Mb/s > Higher Is Better
a . 100.3 |====================================================================
b . 99.9 |====================================================================
PostgreSQL 15
Scaling Factor: 100 - Clients: 500 - Mode: Read Only
TPS > Higher Is Better
a . 869450 |===================================================================
b . 866030 |===================================================================
TensorFlow 2.10
Device: CPU - Batch Size: 32 - Model: VGG-16
images/sec > Higher Is Better
a . 10.22 |====================================================================
b . 10.18 |====================================================================
PostgreSQL 15
Scaling Factor: 1 - Clients: 250 - Mode: Read Only - Average Latency
ms < Lower Is Better
a . 0.255 |====================================================================
b . 0.256 |====================================================================
TensorFlow 2.10
Device: CPU - Batch Size: 32 - Model: ResNet-50
images/sec > Higher Is Better
a . 17.90 |====================================================================
b . 17.97 |====================================================================
OpenFOAM 10
Input: drivaerFastback, Small Mesh Size - Mesh Time
Seconds < Lower Is Better
a . 34.01 |====================================================================
b . 33.88 |====================================================================
oneDNN 2.7
Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
a . 9.85430 |==================================================================
b . 9.81832 |==================================================================
Neural Magic DeepSparse 1.1
Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 18.41 |====================================================================
b . 18.35 |====================================================================
Neural Magic DeepSparse 1.1
Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 54.26 |====================================================================
b . 54.45 |====================================================================
Timed Node.js Compilation 18.8
Time To Compile
Seconds < Lower Is Better
a . 275.44 |===================================================================
b . 276.40 |===================================================================
PostgreSQL 15
Scaling Factor: 100 - Clients: 500 - Mode: Read Only - Average Latency
ms < Lower Is Better
a . 0.575 |====================================================================
b . 0.577 |====================================================================
libavif avifenc 0.11
Encoder Speed: 6
Seconds < Lower Is Better
a . 5.298 |====================================================================
b . 5.280 |====================================================================
PostgreSQL 15
Scaling Factor: 1 - Clients: 250 - Mode: Read Only
TPS > Higher Is Better
a . 979407 |===================================================================
b . 976093 |===================================================================
spaCy 3.4.1
Model: en_core_web_lg
tokens/sec > Higher Is Better
a . 10874 |====================================================================
b . 10838 |====================================================================
nekRS 22.0
Input: TurboPipe Periodic
FLOP/s > Higher Is Better
a . 124608000000 |=============================================================
b . 124198000000 |=============================================================
Timed Linux Kernel Compilation 6.1
Build: allmodconfig
Seconds < Lower Is Better
a . 543.75 |===================================================================
b . 545.45 |===================================================================
srsRAN 22.04.1
Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM
UE Mb/s > Higher Is Better
a . 65.7 |=====================================================================
b . 65.5 |=====================================================================
Neural Magic DeepSparse 1.1
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 18.62 |====================================================================
b . 18.67 |====================================================================
PostgreSQL 15
Scaling Factor: 1 - Clients: 100 - Mode: Read Only
TPS > Higher Is Better
a . 968554 |===================================================================
b . 971447 |===================================================================
Stress-NG 0.14.06
Test: Mutex
Bogo Ops/s > Higher Is Better
a . 17168753.52 |==============================================================
b . 17219955.71 |==============================================================
OpenVINO 2022.2.dev
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
FPS > Higher Is Better
a . 21846.45 |=================================================================
b . 21782.56 |=================================================================
Cpuminer-Opt 3.20.3
Algorithm: Magi
kH/s > Higher Is Better
a . 701.91 |===================================================================
b . 703.92 |===================================================================
7-Zip Compression 22.01
Test: Decompression Rating
MIPS > Higher Is Better
a . 158350 |===================================================================
b . 157899 |===================================================================
oneDNN 2.7
Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 2.80983 |==================================================================
b . 2.81784 |==================================================================
OpenVINO 2022.2.dev
Model: Person Detection FP32 - Device: CPU
ms < Lower Is Better
a . 2199.69 |==================================================================
b . 2205.86 |==================================================================
Blender 3.4
Blend File: Fishy Cat - Compute: CPU-Only
Seconds < Lower Is Better
a . 75.80 |====================================================================
b . 75.59 |====================================================================
OpenVINO 2022.2.dev
Model: Weld Porosity Detection FP16 - Device: CPU
ms < Lower Is Better
a . 51.00 |====================================================================
b . 50.86 |====================================================================
Stress-NG 0.14.06
Test: Semaphores
Bogo Ops/s > Higher Is Better
a . 4585186.59 |===============================================================
b . 4572788.09 |===============================================================
Neural Magic DeepSparse 1.1
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 963.81 |===================================================================
b . 966.40 |===================================================================
oneDNN 2.7
Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 1.25783 |==================================================================
b . 1.25446 |==================================================================
Dragonflydb 0.6
Clients: 50 - Set To Get Ratio: 5:1
Ops/sec > Higher Is Better
a . 959933.80 |================================================================
b . 962500.62 |================================================================
AOM AV1 3.5
Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 46.50 |====================================================================
b . 46.38 |====================================================================
OpenVINO 2022.2.dev
Model: Weld Porosity Detection FP16 - Device: CPU
FPS > Higher Is Better
a . 704.60 |===================================================================
b . 706.42 |===================================================================
GraphicsMagick 1.3.38
Operation: Noise-Gaussian
Iterations Per Minute > Higher Is Better
a . 392 |======================================================================
b . 391 |======================================================================
OpenVINO 2022.2.dev
Model: Person Detection FP16 - Device: CPU
FPS > Higher Is Better
a . 4.04 |=====================================================================
b . 4.03 |=====================================================================
Cpuminer-Opt 3.20.3
Algorithm: Garlicoin
kH/s > Higher Is Better
a . 12910 |====================================================================
b . 12940 |====================================================================
OSPRay Studio 0.11
Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer
ms < Lower Is Better
a . 888 |======================================================================
b . 890 |======================================================================
oneDNN 2.7
Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
a . 5.70137 |==================================================================
b . 5.71409 |==================================================================
Neural Magic DeepSparse 1.1
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 197.13 |===================================================================
b . 196.70 |===================================================================
TensorFlow 2.10
Device: CPU - Batch Size: 32 - Model: GoogLeNet
images/sec > Higher Is Better
a . 61.69 |====================================================================
b . 61.82 |====================================================================
OpenRadioss 2022.10.13
Model: Bumper Beam
Seconds < Lower Is Better
a . 125.04 |===================================================================
b . 124.78 |===================================================================
oneDNN 2.7
Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
a . 9.61455 |==================================================================
b . 9.63450 |==================================================================
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 . 23.90 |====================================================================
b . 23.95 |====================================================================
TensorFlow 2.10
Device: CPU - Batch Size: 16 - Model: ResNet-50
images/sec > Higher Is Better
a . 14.77 |====================================================================
b . 14.74 |====================================================================
oneDNN 2.7
Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 0.693146 |=================================================================
b . 0.694553 |=================================================================
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 . 41.81 |====================================================================
b . 41.72 |====================================================================
OSPRay Studio 0.11
Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer
ms < Lower Is Better
a . 3617 |=====================================================================
b . 3624 |=====================================================================
Mobile Neural Network 2.1
Model: squeezenetv1.1
ms < Lower Is Better
a . 4.677 |====================================================================
b . 4.686 |====================================================================
memtier_benchmark 1.4
Protocol: Redis - Clients: 50 - Set To Get Ratio: 10:1
Ops/sec > Higher Is Better
a . 1501800.97 |===============================================================
b . 1504675.76 |===============================================================
oneDNN 2.7
Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 0.568809 |=================================================================
b . 0.567734 |=================================================================
Neural Magic DeepSparse 1.1
Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 14.89 |====================================================================
b . 14.92 |====================================================================
ASTC Encoder 4.0
Preset: Thorough
MT/s > Higher Is Better
a . 18.06 |====================================================================
b . 18.09 |====================================================================
Neural Magic DeepSparse 1.1
Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 67.09 |====================================================================
b . 66.97 |====================================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark
Seconds < Lower Is Better
a . 66.06 |====================================================================
b . 65.95 |====================================================================
Y-Cruncher 0.7.10.9513
Pi Digits To Calculate: 1B
Seconds < Lower Is Better
a . 22.39 |====================================================================
b . 22.43 |====================================================================
OpenFOAM 10
Input: drivaerFastback, Medium Mesh Size - Execution Time
Seconds < Lower Is Better
a . 899.70 |===================================================================
b . 898.34 |===================================================================
OpenVINO 2022.2.dev
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
ms < Lower Is Better
a . 13.17 |====================================================================
b . 13.19 |====================================================================
OpenRadioss 2022.10.13
Model: INIVOL and Fluid Structure Interaction Drop Container
Seconds < Lower Is Better
a . 275.47 |===================================================================
b . 275.88 |===================================================================
OSPRay Studio 0.11
Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer
ms < Lower Is Better
a . 17367 |====================================================================
b . 17342 |====================================================================
OpenVINO 2022.2.dev
Model: Face Detection FP16-INT8 - Device: CPU
ms < Lower Is Better
a . 347.32 |===================================================================
b . 347.82 |===================================================================
OSPRay Studio 0.11
Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer
ms < Lower Is Better
a . 14186 |====================================================================
b . 14166 |====================================================================
Cpuminer-Opt 3.20.3
Algorithm: Skeincoin
kH/s > Higher Is Better
a . 253670 |===================================================================
b . 253330 |===================================================================
Stress-NG 0.14.06
Test: Vector Math
Bogo Ops/s > Higher Is Better
a . 103156.98 |================================================================
b . 103019.74 |================================================================
Neural Magic DeepSparse 1.1
Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 113.75 |===================================================================
b . 113.89 |===================================================================
Neural Magic DeepSparse 1.1
Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 8.7764 |===================================================================
b . 8.7659 |===================================================================
OSPRay Studio 0.11
Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer
ms < Lower Is Better
a . 146883 |===================================================================
b . 147053 |===================================================================
Neural Magic DeepSparse 1.1
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 50.95 |====================================================================
b . 51.01 |====================================================================
WebP Image Encode 1.2.4
Encode Settings: Quality 100
MP/s > Higher Is Better
a . 8.92 |=====================================================================
b . 8.91 |=====================================================================
OSPRay Studio 0.11
Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer
ms < Lower Is Better
a . 125037 |===================================================================
b . 125174 |===================================================================
OSPRay Studio 0.11
Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer
ms < Lower Is Better
a . 914 |======================================================================
b . 915 |======================================================================
TensorFlow 2.10
Device: CPU - Batch Size: 16 - Model: VGG-16
images/sec > Higher Is Better
a . 9.16 |=====================================================================
b . 9.15 |=====================================================================
OpenVINO 2022.2.dev
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
FPS > Higher Is Better
a . 2717.47 |==================================================================
b . 2714.67 |==================================================================
oneDNN 2.7
Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 3.79612 |==================================================================
b . 3.80003 |==================================================================
TensorFlow 2.10
Device: CPU - Batch Size: 16 - Model: AlexNet
images/sec > Higher Is Better
a . 79.17 |====================================================================
b . 79.09 |====================================================================
Stress-NG 0.14.06
Test: Malloc
Bogo Ops/s > Higher Is Better
a . 109293721.23 |=============================================================
b . 109184164.47 |=============================================================
oneDNN 2.7
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 7.47846 |==================================================================
b . 7.48562 |==================================================================
Cpuminer-Opt 3.20.3
Algorithm: x25x
kH/s > Higher Is Better
a . 1252.09 |==================================================================
b . 1253.15 |==================================================================
srsRAN 22.04.1
Test: OFDM_Test
Samples / Second > Higher Is Better
a . 119900000 |================================================================
b . 120000000 |================================================================
Redis 7.0.4
Test: SET - Parallel Connections: 50
Requests Per Second > Higher Is Better
a . 2242796.0 |================================================================
b . 2244608.5 |================================================================
Timed Linux Kernel Compilation 6.1
Build: defconfig
Seconds < Lower Is Better
a . 52.65 |====================================================================
b . 52.69 |====================================================================
NCNN 20220729
Target: CPU - Model: resnet50
ms < Lower Is Better
a . 26.10 |====================================================================
b . 26.12 |====================================================================
Redis 7.0.4
Test: SET - Parallel Connections: 1000
Requests Per Second > Higher Is Better
a . 2202580.5 |================================================================
b . 2204248.0 |================================================================
oneDNN 2.7
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 1380.95 |==================================================================
b . 1379.94 |==================================================================
SVT-AV1 1.4
Encoder Mode: Preset 12 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 227.23 |===================================================================
b . 227.06 |===================================================================
oneDNN 2.7
Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 1.72077 |==================================================================
b . 1.71954 |==================================================================
Cpuminer-Opt 3.20.3
Algorithm: Triple SHA-256, Onecoin
kH/s > Higher Is Better
a . 598720 |===================================================================
b . 598300 |===================================================================
OSPRay Studio 0.11
Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer
ms < Lower Is Better
a . 29041 |====================================================================
b . 29061 |====================================================================
Blender 3.4
Blend File: Barbershop - Compute: CPU-Only
Seconds < Lower Is Better
a . 592.36 |===================================================================
b . 591.97 |===================================================================
Neural Magic DeepSparse 1.1
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 352.86 |===================================================================
b . 352.63 |===================================================================
Unpacking The Linux Kernel 5.19
linux-5.19.tar.xz
Seconds < Lower Is Better
a . 8.579 |====================================================================
b . 8.584 |====================================================================
ASTC Encoder 4.0
Preset: Fast
MT/s > Higher Is Better
a . 364.55 |===================================================================
b . 364.35 |===================================================================
ASTC Encoder 4.0
Preset: Exhaustive
MT/s > Higher Is Better
a . 1.8422 |===================================================================
b . 1.8432 |===================================================================
OSPRay Studio 0.11
Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer
ms < Lower Is Better
a . 28318 |====================================================================
b . 28332 |====================================================================
OSPRay Studio 0.11
Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer
ms < Lower Is Better
a . 4309 |=====================================================================
b . 4311 |=====================================================================
CockroachDB 22.2
Workload: MoVR - Concurrency: 128
ops/s > Higher Is Better
a . 226.3 |====================================================================
b . 226.4 |====================================================================
oneDNN 2.7
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 0.235557 |=================================================================
b . 0.235658 |=================================================================
oneDNN 2.7
Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 6.94903 |==================================================================
b . 6.94611 |==================================================================
OpenVINO 2022.2.dev
Model: Face Detection FP16 - Device: CPU
ms < Lower Is Better
a . 1283.20 |==================================================================
b . 1283.73 |==================================================================
OSPRay Studio 0.11
Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer
ms < Lower Is Better
a . 67352 |====================================================================
b . 67325 |====================================================================
OpenVINO 2022.2.dev
Model: Face Detection FP16-INT8 - Device: CPU
FPS > Higher Is Better
a . 25.83 |====================================================================
b . 25.82 |====================================================================
Blender 3.4
Blend File: BMW27 - Compute: CPU-Only
Seconds < Lower Is Better
a . 55.54 |====================================================================
b . 55.56 |====================================================================
Neural Magic DeepSparse 1.1
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 963.57 |===================================================================
b . 963.91 |===================================================================
Cpuminer-Opt 3.20.3
Algorithm: Deepcoin
kH/s > Higher Is Better
a . 28150 |====================================================================
b . 28140 |====================================================================
OpenRadioss 2022.10.13
Model: Cell Phone Drop Test
Seconds < Lower Is Better
a . 57.28 |====================================================================
b . 57.26 |====================================================================
OpenVINO 2022.2.dev
Model: Person Detection FP16 - Device: CPU
ms < Lower Is Better
a . 2192.85 |==================================================================
b . 2193.51 |==================================================================
Timed CPython Compilation 3.10.6
Build Configuration: Released Build, PGO + LTO Optimized
Seconds < Lower Is Better
a . 382.19 |===================================================================
b . 382.30 |===================================================================
OSPRay Studio 0.11
Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer
ms < Lower Is Better
a . 34647 |====================================================================
b . 34637 |====================================================================
OSPRay Studio 0.11
Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer
ms < Lower Is Better
a . 3528 |=====================================================================
b . 3529 |=====================================================================
oneDNN 2.7
Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 1380.06 |==================================================================
b . 1380.45 |==================================================================
Neural Magic DeepSparse 1.1
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 91.19 |====================================================================
b . 91.21 |====================================================================
Stress-NG 0.14.06
Test: x86_64 RdRand
Bogo Ops/s > Higher Is Better
a . 503507.78 |================================================================
b . 503602.92 |================================================================
PostgreSQL 15
Scaling Factor: 100 - Clients: 50 - Mode: Read Only
TPS > Higher Is Better
a . 652544 |===================================================================
b . 652647 |===================================================================
libavif avifenc 0.11
Encoder Speed: 10, Lossless
Seconds < Lower Is Better
a . 7.053 |====================================================================
b . 7.052 |====================================================================
Stress-NG 0.14.06
Test: Crypto
Bogo Ops/s > Higher Is Better
a . 34685.11 |=================================================================
b . 34689.96 |=================================================================
OpenFOAM 10
Input: drivaerFastback, Medium Mesh Size - Mesh Time
Seconds < Lower Is Better
a . 187.22 |===================================================================
b . 187.20 |===================================================================
CockroachDB 22.2
Workload: KV, 95% Reads - Concurrency: 512
ops/s > Higher Is Better
a . 96569.8 |==================================================================
b . 96577.9 |==================================================================
Numenta Anomaly Benchmark 1.1
Detector: Relative Entropy
Seconds < Lower Is Better
a . 13.36 |====================================================================
b . 13.36 |====================================================================
Natron 2.4.3
Input: Spaceship
FPS > Higher Is Better
a . 3.7 |======================================================================
b . 3.7 |======================================================================
OpenVINO 2022.2.dev
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
ms < Lower Is Better
a . 1.64 |=====================================================================
b . 1.64 |=====================================================================
OpenVINO 2022.2.dev
Model: Face Detection FP16 - Device: CPU
FPS > Higher Is Better
a . 6.94 |=====================================================================
b . 6.94 |=====================================================================
PostgreSQL 15
Scaling Factor: 100 - Clients: 50 - Mode: Read Only - Average Latency
ms < Lower Is Better
a . 0.077 |====================================================================
b . 0.077 |====================================================================
PostgreSQL 15
Scaling Factor: 1 - Clients: 100 - Mode: Read Only - Average Latency
ms < Lower Is Better
a . 0.103 |====================================================================
b . 0.103 |====================================================================
PostgreSQL 15
Scaling Factor: 1 - Clients: 50 - Mode: Read Only - Average Latency
ms < Lower Is Better
a . 0.074 |====================================================================
b . 0.074 |====================================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 100 - SHA-512 Benchmark Time
Seconds < Lower Is Better
a . 5.07 |=====================================================================
b . 5.07 |=====================================================================
OSPRay Studio 0.11
Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer
ms < Lower Is Better
a . 1085 |=====================================================================
b . 1085 |=====================================================================
AOM AV1 3.5
Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 10.53 |====================================================================
b . 10.53 |====================================================================
AOM AV1 3.5
Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 0.27 |=====================================================================
b . 0.27 |=====================================================================
WebP2 Image Encode 20220823
Encode Settings: Quality 100, Lossless Compression
MP/s > Higher Is Better
a . 0.03 |=====================================================================
b . 0.03 |=====================================================================
WebP2 Image Encode 20220823
Encode Settings: Quality 95, Compression Effort 7
MP/s > Higher Is Better
a . 0.13 |=====================================================================
b . 0.13 |=====================================================================
WebP Image Encode 1.2.4
Encode Settings: Quality 100, Lossless, Highest Compression
MP/s > Higher Is Better
a . 0.44 |=====================================================================
b . 0.44 |=====================================================================
WebP Image Encode 1.2.4
Encode Settings: Quality 100, Highest Compression
MP/s > Higher Is Better
a . 3.03 |=====================================================================
b . 3.03 |=====================================================================
Stress-NG 0.14.06
Test: IO_uring