AMD Ryzen 5 4500U testing with a LENOVO LNVNB161216 (EECN20WW BIOS) and AMD Renoir 512MB on Pop 22.04 via the Phoronix Test Suite.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 2302063-NE-2023RYZEN21
2023 ryzen 5
AMD Ryzen 5 4500U testing with a LENOVO LNVNB161216 (EECN20WW BIOS) and AMD Renoir 512MB on Pop 22.04 via the Phoronix Test Suite.
a:
Processor: AMD Ryzen 5 4500U @ 2.38GHz (6 Cores), Motherboard: LENOVO LNVNB161216 (EECN20WW BIOS), Chipset: AMD Renoir/Cezanne, Memory: 16GB, Disk: 256GB SK hynix HFM256GDHTNI-87A0B, Graphics: AMD Renoir 512MB (1500/400MHz), Audio: AMD Renoir Radeon HD Audio, Network: Realtek RTL8822CE 802.11ac PCIe
OS: Pop 22.04, Kernel: 5.17.5-76051705-generic (x86_64), Desktop: GNOME Shell 42.1, Display Server: X Server 1.21.1.3, OpenGL: 4.6 Mesa 22.0.1 (LLVM 13.0.1 DRM 3.44), Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080
b:
Processor: AMD Ryzen 5 4500U @ 2.38GHz (6 Cores), Motherboard: LENOVO LNVNB161216 (EECN20WW BIOS), Chipset: AMD Renoir/Cezanne, Memory: 16GB, Disk: 256GB SK hynix HFM256GDHTNI-87A0B, Graphics: AMD Renoir 512MB (1500/400MHz), Audio: AMD Renoir Radeon HD Audio, Network: Realtek RTL8822CE 802.11ac PCIe
OS: Pop 22.04, Kernel: 5.17.5-76051705-generic (x86_64), Desktop: GNOME Shell 42.1, Display Server: X Server 1.21.1.3, OpenGL: 4.6 Mesa 22.0.1 (LLVM 13.0.1 DRM 3.44), Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080
c:
Processor: AMD Ryzen 5 4500U @ 2.38GHz (6 Cores), Motherboard: LENOVO LNVNB161216 (EECN20WW BIOS), Chipset: AMD Renoir/Cezanne, Memory: 16GB, Disk: 256GB SK hynix HFM256GDHTNI-87A0B, Graphics: AMD Renoir 512MB (1500/400MHz), Audio: AMD Renoir Radeon HD Audio, Network: Realtek RTL8822CE 802.11ac PCIe
OS: Pop 22.04, Kernel: 5.17.5-76051705-generic (x86_64), Desktop: GNOME Shell 42.1, Display Server: X Server 1.21.1.3, OpenGL: 4.6 Mesa 22.0.1 (LLVM 13.0.1 DRM 3.44), Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080
Apache Spark 3.3
Row Count: 1000000 - Partitions: 100 - SHA-512 Benchmark Time
Seconds < Lower Is Better
a . 6.20 |=====================================================================
b . 6.09 |====================================================================
c . 6.18 |=====================================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark
Seconds < Lower Is Better
a . 382.94 |===================================================================
b . 376.45 |==================================================================
c . 379.30 |==================================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe
Seconds < Lower Is Better
a . 27.82 |====================================================================
b . 27.29 |===================================================================
c . 27.47 |===================================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 100 - Group By Test Time
Seconds < Lower Is Better
a . 5.41 |===================================================================
b . 5.59 |=====================================================================
c . 5.38 |==================================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 100 - Repartition Test Time
Seconds < Lower Is Better
a . 5.31 |====================================================================
b . 5.40 |=====================================================================
c . 5.38 |=====================================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 100 - Inner Join Test Time
Seconds < Lower Is Better
a . 3.569670803 |=========================================================
b . 3.880000000 |==============================================================
c . 3.770000000 |============================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 100 - Broadcast Inner Join Test Time
Seconds < Lower Is Better
a . 3.19 |=====================================================================
b . 3.10 |===================================================================
c . 3.15 |====================================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 500 - SHA-512 Benchmark Time
Seconds < Lower Is Better
a . 6.60 |=================================================================
b . 6.96 |=====================================================================
c . 6.88 |====================================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 500 - Calculate Pi Benchmark
Seconds < Lower Is Better
a . 380.63 |===================================================================
b . 376.19 |==================================================================
c . 377.48 |==================================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe
Seconds < Lower Is Better
a . 27.70 |====================================================================
b . 26.91 |==================================================================
c . 27.50 |====================================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 500 - Group By Test Time
Seconds < Lower Is Better
a . 6.30 |=================================================================
b . 6.53 |====================================================================
c . 6.65 |=====================================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 500 - Repartition Test Time
Seconds < Lower Is Better
a . 5.41 |====================================================================
b . 5.46 |=====================================================================
c . 5.48 |=====================================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 500 - Inner Join Test Time
Seconds < Lower Is Better
a . 4.36 |==================================================================
b . 4.53 |=====================================================================
c . 4.47 |====================================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 500 - Broadcast Inner Join Test Time
Seconds < Lower Is Better
a . 3.84 |=====================================================================
b . 3.84 |=====================================================================
c . 3.80 |====================================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 1000 - SHA-512 Benchmark Time
Seconds < Lower Is Better
a . 7.25 |=================================================================
b . 7.75 |=====================================================================
c . 7.27 |=================================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 1000 - Calculate Pi Benchmark
Seconds < Lower Is Better
a . 380.69 |===================================================================
b . 379.89 |===================================================================
c . 378.64 |===================================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframe
Seconds < Lower Is Better
a . 27.39 |====================================================================
b . 27.36 |====================================================================
c . 27.33 |====================================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 1000 - Group By Test Time
Seconds < Lower Is Better
a . 7.04 |=====================================================================
b . 6.80 |===================================================================
c . 6.93 |====================================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 1000 - Repartition Test Time
Seconds < Lower Is Better
a . 6.14 |===================================================================
b . 5.86 |================================================================
c . 6.31 |=====================================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 1000 - Inner Join Test Time
Seconds < Lower Is Better
a . 5.41 |====================================================================
b . 5.44 |====================================================================
c . 5.52 |=====================================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 1000 - Broadcast Inner Join Test Time
Seconds < Lower Is Better
a . 4.57 |=====================================================================
b . 4.60 |=====================================================================
c . 4.60 |=====================================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 2000 - SHA-512 Benchmark Time
Seconds < Lower Is Better
a . 7.89 |=====================================================================
b . 7.93 |=====================================================================
c . 7.88 |=====================================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 2000 - Calculate Pi Benchmark
Seconds < Lower Is Better
a . 379.06 |===================================================================
b . 378.35 |===================================================================
c . 379.19 |===================================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframe
Seconds < Lower Is Better
a . 27.35 |===================================================================
b . 27.62 |====================================================================
c . 27.22 |===================================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 2000 - Group By Test Time
Seconds < Lower Is Better
a . 8.09 |=====================================================================
b . 8.02 |====================================================================
c . 8.05 |=====================================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 2000 - Repartition Test Time
Seconds < Lower Is Better
a . 7.20 |=====================================================================
b . 7.03 |===================================================================
c . 7.03 |===================================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 2000 - Inner Join Test Time
Seconds < Lower Is Better
a . 6.90 |=================================================================
b . 7.35 |=====================================================================
c . 7.36 |=====================================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 2000 - Broadcast Inner Join Test Time
Seconds < Lower Is Better
a . 5.57 |===============================================================
b . 6.12 |=====================================================================
c . 5.54 |==============================================================
ClickHouse 22.12.3.5
100M Rows Hits Dataset, First Run / Cold Cache
Queries Per Minute, Geo Mean > Higher Is Better
a . 62.09 |====================================================================
b . 61.80 |====================================================================
c . 60.32 |==================================================================
ClickHouse 22.12.3.5
100M Rows Hits Dataset, Second Run
Queries Per Minute, Geo Mean > Higher Is Better
a . 66.77 |==================================================================
b . 67.00 |==================================================================
c . 69.10 |====================================================================
ClickHouse 22.12.3.5
100M Rows Hits Dataset, Third Run
Queries Per Minute, Geo Mean > Higher Is Better
a . 68.21 |==================================================================
b . 67.68 |==================================================================
c . 70.22 |====================================================================
ET: Legacy 2.81
Resolution: 1920 x 1080
Frames Per Second > Higher Is Better
a . 125.9 |====================================================================
b . 104.0 |========================================================
c . 104.2 |========================================================
Memcached 1.6.18
Set To Get Ratio: 1:5
Ops/sec > Higher Is Better
a . 686914.92 |================================================================
b . 680062.15 |===============================================================
c . 673400.06 |===============================================================
Memcached 1.6.18
Set To Get Ratio: 1:10
Ops/sec > Higher Is Better
a . 647418.98 |===============================================================
b . 661606.77 |================================================================
c . 652041.20 |===============================================================
Memcached 1.6.18
Set To Get Ratio: 1:100
Ops/sec > Higher Is Better
a . 646102.05 |==============================================================
b . 604441.11 |==========================================================
c . 664570.89 |================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 3.4136 |===================================================================
b . 3.3567 |==================================================================
c . 3.4003 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 875.43 |==================================================================
b . 887.62 |===================================================================
c . 876.73 |==================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 3.2897 |===================================================================
b . 3.2950 |===================================================================
c . 3.2326 |==================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 303.97 |==================================================================
b . 303.48 |==================================================================
c . 309.33 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 29.47 |====================================================================
b . 29.62 |====================================================================
c . 28.38 |=================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 101.73 |=================================================================
b . 101.21 |================================================================
c . 105.59 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 18.10 |====================================================================
b . 16.98 |================================================================
c . 16.59 |==============================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 55.24 |==============================================================
b . 58.86 |==================================================================
c . 60.26 |====================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 10.67 |====================================================================
b . 10.69 |====================================================================
c . 10.57 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 280.50 |==================================================================
b . 280.50 |==================================================================
c . 282.94 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 6.4244 |==================================================================
b . 6.4058 |==================================================================
c . 6.4858 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 155.63 |===================================================================
b . 156.09 |===================================================================
c . 154.16 |==================================================================
Neural Magic DeepSparse 1.3.2
Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 20.10 |====================================================================
b . 20.16 |====================================================================
c . 20.04 |====================================================================
Neural Magic DeepSparse 1.3.2
Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 149.04 |===================================================================
b . 148.43 |===================================================================
c . 149.48 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 17.72 |===================================================================
b . 17.95 |====================================================================
c . 17.72 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 56.41 |====================================================================
b . 55.69 |===================================================================
c . 56.42 |====================================================================
Neural Magic DeepSparse 1.3.2
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 43.15 |====================================================================
b . 43.05 |====================================================================
c . 42.88 |====================================================================
Neural Magic DeepSparse 1.3.2
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 69.44 |====================================================================
b . 69.64 |====================================================================
c . 69.90 |====================================================================
Neural Magic DeepSparse 1.3.2
Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 37.99 |===================================================================
b . 38.79 |====================================================================
c . 38.62 |====================================================================
Neural Magic DeepSparse 1.3.2
Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 26.31 |====================================================================
b . 25.76 |===================================================================
c . 25.88 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 30.14 |====================================================================
b . 30.15 |====================================================================
c . 30.22 |====================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 99.49 |====================================================================
b . 99.45 |====================================================================
c . 99.22 |====================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 24.70 |==================================================================
b . 25.24 |====================================================================
c . 25.27 |====================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 40.48 |====================================================================
b . 39.60 |===================================================================
c . 39.56 |==================================================================
Neural Magic DeepSparse 1.3.2
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 4.0502 |===================================================================
b . 4.0529 |===================================================================
c . 4.0287 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 734.59 |===================================================================
b . 735.40 |===================================================================
c . 738.29 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 4.2014 |===================================================================
b . 4.1893 |===================================================================
c . 4.1841 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 238.00 |===================================================================
b . 238.68 |===================================================================
c . 238.98 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 15.06 |====================================================================
b . 15.05 |====================================================================
c . 14.94 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 199.13 |===================================================================
b . 199.07 |===================================================================
c . 200.01 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 10.05 |==============================================================
b . 10.52 |=================================================================
c . 11.06 |====================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 99.50 |====================================================================
b . 95.09 |=================================================================
c . 90.43 |==============================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 3.4341 |==================================================================
b . 3.4302 |==================================================================
c . 3.4656 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 866.76 |===================================================================
b . 864.38 |===================================================================
c . 860.17 |==================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 3.2499 |=================================================================
b . 3.2812 |==================================================================
c . 3.3428 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 307.70 |===================================================================
b . 304.76 |==================================================================
c . 299.14 |=================================================================
OpenEMS 0.0.35-86
Test: pyEMS Coupler
MCells/s > Higher Is Better
a . 15.88 |===================================================================
b . 16.07 |====================================================================
c . 15.43 |=================================================================
OpenEMS 0.0.35-86
Test: openEMS MSL_NotchFilter
MCells/s > Higher Is Better
a . 60.99 |============================================================
b . 60.86 |============================================================
c . 69.33 |====================================================================
PostgreSQL 15
Scaling Factor: 1 - Clients: 1 - Mode: Read Only
TPS > Higher Is Better
a . 18849 |====================================================================
b . 18350 |==================================================================
c . 18694 |===================================================================
PostgreSQL 15
Scaling Factor: 1 - Clients: 1 - Mode: Read Only - Average Latency
ms < Lower Is Better
a . 0.053 |===================================================================
b . 0.054 |====================================================================
c . 0.053 |===================================================================
PostgreSQL 15
Scaling Factor: 1 - Clients: 1 - Mode: Read Write
TPS > Higher Is Better
a . 568 |=====================================================================
b . 574 |======================================================================
c . 564 |=====================================================================
PostgreSQL 15
Scaling Factor: 1 - Clients: 1 - Mode: Read Write - Average Latency
ms < Lower Is Better
a . 1.759 |===================================================================
b . 1.743 |===================================================================
c . 1.773 |====================================================================
PostgreSQL 15
Scaling Factor: 1 - Clients: 50 - Mode: Read Only
TPS > Higher Is Better
a . 189855 |===================================================================
b . 190735 |===================================================================
c . 187167 |==================================================================
PostgreSQL 15
Scaling Factor: 1 - Clients: 50 - Mode: Read Only - Average Latency
ms < Lower Is Better
a . 0.263 |===================================================================
b . 0.262 |===================================================================
c . 0.267 |====================================================================
PostgreSQL 15
Scaling Factor: 1 - Clients: 100 - Mode: Read Only
TPS > Higher Is Better
a . 188986 |===================================================================
b . 172730 |=============================================================
c . 187969 |===================================================================
PostgreSQL 15
Scaling Factor: 1 - Clients: 100 - Mode: Read Only - Average Latency
ms < Lower Is Better
a . 0.529 |==============================================================
b . 0.579 |====================================================================
c . 0.532 |==============================================================
PostgreSQL 15
Scaling Factor: 1 - Clients: 250 - Mode: Read Only
TPS > Higher Is Better
a . 183892 |===================================================================
b . 178424 |=================================================================
c . 184157 |===================================================================
PostgreSQL 15
Scaling Factor: 1 - Clients: 250 - Mode: Read Only - Average Latency
ms < Lower Is Better
a . 1.359 |==================================================================
b . 1.401 |====================================================================
c . 1.358 |==================================================================
PostgreSQL 15
Scaling Factor: 1 - Clients: 50 - Mode: Read Write
TPS > Higher Is Better
a . 557 |======================================================================
b . 551 |=====================================================================
c . 555 |======================================================================
PostgreSQL 15
Scaling Factor: 1 - Clients: 50 - Mode: Read Write - Average Latency
ms < Lower Is Better
a . 89.70 |===================================================================
b . 90.76 |====================================================================
c . 90.04 |===================================================================
PostgreSQL 15
Scaling Factor: 1 - Clients: 500 - Mode: Read Only
TPS > Higher Is Better
a . 180688 |===================================================================
b . 164072 |=============================================================
c . 176550 |=================================================================
PostgreSQL 15
Scaling Factor: 1 - Clients: 500 - Mode: Read Only - Average Latency
ms < Lower Is Better
a . 2.767 |==============================================================
b . 3.047 |====================================================================
c . 2.832 |===============================================================
PostgreSQL 15
Scaling Factor: 1 - Clients: 800 - Mode: Read Only
TPS > Higher Is Better
a . 137557 |===================================================================
b . 110229 |======================================================
c . 120638 |===========================================================
PostgreSQL 15
Scaling Factor: 1 - Clients: 800 - Mode: Read Only - Average Latency
ms < Lower Is Better
a . 5.816 |======================================================
b . 7.258 |====================================================================
c . 6.631 |==============================================================
PostgreSQL 15
Scaling Factor: 100 - Clients: 1 - Mode: Read Only
TPS > Higher Is Better
a . 19549 |==================================================================
b . 16747 |========================================================
c . 20223 |====================================================================
PostgreSQL 15
Scaling Factor: 100 - Clients: 1 - Mode: Read Only - Average Latency
ms < Lower Is Better
a . 0.051 |==========================================================
b . 0.060 |====================================================================
c . 0.049 |========================================================
PostgreSQL 15
Scaling Factor: 1 - Clients: 100 - Mode: Read Write
TPS > Higher Is Better
a . 418 |======================================================
b . 545 |======================================================================
c . 474 |=============================================================
PostgreSQL 15
Scaling Factor: 1 - Clients: 100 - Mode: Read Write - Average Latency
ms < Lower Is Better
a . 239.14 |===================================================================
b . 183.36 |===================================================
c . 210.77 |===========================================================
PostgreSQL 15
Scaling Factor: 1 - Clients: 250 - Mode: Read Write
TPS > Higher Is Better
a . 500 |======================================================================
b . 497 |======================================================================
c . 489 |====================================================================
PostgreSQL 15
Scaling Factor: 1 - Clients: 250 - Mode: Read Write - Average Latency
ms < Lower Is Better
a . 499.81 |==================================================================
b . 503.30 |==================================================================
c . 510.90 |===================================================================
PostgreSQL 15
Scaling Factor: 1 - Clients: 500 - Mode: Read Write
TPS > Higher Is Better
a . 388 |=================================================================
b . 421 |======================================================================
c . 387 |================================================================
PostgreSQL 15
Scaling Factor: 1 - Clients: 500 - Mode: Read Write - Average Latency
ms < Lower Is Better
a . 1288.17 |==================================================================
b . 1188.78 |=============================================================
c . 1293.04 |==================================================================
PostgreSQL 15
Scaling Factor: 1 - Clients: 800 - Mode: Read Write
TPS > Higher Is Better
a . 338 |======================================================================
b . 329 |====================================================================
c . 306 |===============================================================
PostgreSQL 15
Scaling Factor: 1 - Clients: 800 - Mode: Read Write - Average Latency
ms < Lower Is Better
a . 2368.33 |============================================================
b . 2434.47 |=============================================================
c . 2613.03 |==================================================================
PostgreSQL 15
Scaling Factor: 100 - Clients: 1 - Mode: Read Write
TPS > Higher Is Better
a . 339 |====================================================================
b . 350 |======================================================================
c . 340 |====================================================================
PostgreSQL 15
Scaling Factor: 100 - Clients: 1 - Mode: Read Write - Average Latency
ms < Lower Is Better
a . 2.946 |====================================================================
b . 2.856 |==================================================================
c . 2.939 |====================================================================
PostgreSQL 15
Scaling Factor: 100 - Clients: 50 - Mode: Read Only
TPS > Higher Is Better
a . 185082 |===================================================================
b . 175404 |===============================================================
c . 174601 |===============================================================
PostgreSQL 15
Scaling Factor: 100 - Clients: 50 - Mode: Read Only - Average Latency
ms < Lower Is Better
a . 0.270 |================================================================
b . 0.285 |====================================================================
c . 0.286 |====================================================================
PostgreSQL 15
Scaling Factor: 100 - Clients: 100 - Mode: Read Only
TPS > Higher Is Better
a . 163009 |================================================================
b . 170386 |===================================================================
c . 162692 |================================================================
PostgreSQL 15
Scaling Factor: 100 - Clients: 100 - Mode: Read Only - Average Latency
ms < Lower Is Better
a . 0.613 |====================================================================
b . 0.587 |=================================================================
c . 0.615 |====================================================================
PostgreSQL 15
Scaling Factor: 100 - Clients: 250 - Mode: Read Only
TPS > Higher Is Better
a . 154762 |============================================================
b . 173250 |===================================================================
c . 167141 |=================================================================
PostgreSQL 15
Scaling Factor: 100 - Clients: 250 - Mode: Read Only - Average Latency
ms < Lower Is Better
a . 1.615 |====================================================================
b . 1.443 |=============================================================
c . 1.496 |===============================================================
PostgreSQL 15
Scaling Factor: 100 - Clients: 50 - Mode: Read Write
TPS > Higher Is Better
a . 4491 |=================================================================
b . 4770 |=====================================================================
c . 3807 |=======================================================
PostgreSQL 15
Scaling Factor: 100 - Clients: 50 - Mode: Read Write - Average Latency
ms < Lower Is Better
a . 11.13 |==========================================================
b . 10.48 |======================================================
c . 13.13 |====================================================================
PostgreSQL 15
Scaling Factor: 100 - Clients: 500 - Mode: Read Only
TPS > Higher Is Better
a . 168618 |===================================================================
b . 133815 |=====================================================
c . 98790 |=======================================
PostgreSQL 15
Scaling Factor: 100 - Clients: 500 - Mode: Read Only - Average Latency
ms < Lower Is Better
a . 2.965 |========================================
b . 3.736 |==================================================
c . 5.061 |====================================================================
PostgreSQL 15
Scaling Factor: 100 - Clients: 800 - Mode: Read Only
TPS > Higher Is Better
a . 106427 |========================================================
b . 127387 |===================================================================
c . 121459 |================================================================
PostgreSQL 15
Scaling Factor: 100 - Clients: 800 - Mode: Read Only - Average Latency
ms < Lower Is Better
a . 7.517 |====================================================================
b . 6.280 |=========================================================
c . 6.587 |============================================================
PostgreSQL 15
Scaling Factor: 100 - Clients: 100 - Mode: Read Write
TPS > Higher Is Better
a . 5148 |=====================================================================
b . 5036 |===================================================================
c . 4346 |==========================================================
PostgreSQL 15
Scaling Factor: 100 - Clients: 100 - Mode: Read Write - Average Latency
ms < Lower Is Better
a . 19.42 |=========================================================
b . 19.86 |===========================================================
c . 23.01 |====================================================================
PostgreSQL 15
Scaling Factor: 100 - Clients: 250 - Mode: Read Write
TPS > Higher Is Better
a . 5258 |=====================================================================
b . 5060 |==================================================================
c . 4505 |===========================================================
PostgreSQL 15
Scaling Factor: 100 - Clients: 250 - Mode: Read Write - Average Latency
ms < Lower Is Better
a . 47.55 |==========================================================
b . 49.41 |=============================================================
c . 55.49 |====================================================================
PostgreSQL 15
Scaling Factor: 100 - Clients: 500 - Mode: Read Write
TPS > Higher Is Better
a . 5162 |=====================================================================
b . 4721 |===============================================================
c . 4217 |========================================================
PostgreSQL 15
Scaling Factor: 100 - Clients: 500 - Mode: Read Write - Average Latency
ms < Lower Is Better
a . 96.86 |=======================================================
b . 105.91 |============================================================
c . 118.56 |===================================================================
PostgreSQL 15
Scaling Factor: 100 - Clients: 800 - Mode: Read Write
TPS > Higher Is Better
a . 4518 |=====================================================================
b . 4514 |=====================================================================
c . 4104 |===============================================================
PostgreSQL 15
Scaling Factor: 100 - Clients: 800 - Mode: Read Write - Average Latency
ms < Lower Is Better
a . 177.09 |=============================================================
b . 177.23 |=============================================================
c . 194.94 |===================================================================
Unvanquished 0.54
Resolution: 1920 x 1080 - Effects Quality: High
Frames Per Second > Higher Is Better
a . 162.2 |====================================================================
b . 130.4 |=======================================================
c . 123.8 |====================================================
Unvanquished 0.54
Resolution: 1920 x 1080 - Effects Quality: Ultra
Frames Per Second > Higher Is Better
a . 126.7 |====================================================================
b . 90.7 |=================================================
c . 86.6 |==============================================
Unvanquished 0.54
Resolution: 1920 x 1080 - Effects Quality: Medium
Frames Per Second > Higher Is Better
a . 146.3 |====================================================================
b . 120.1 |========================================================
c . 124.1 |==========================================================
VVenC 1.7
Video Input: Bosphorus 4K - Video Preset: Fast
Frames Per Second > Higher Is Better
a . 1.591 |==================================================================
b . 1.648 |====================================================================
c . 1.621 |===================================================================
VVenC 1.7
Video Input: Bosphorus 4K - Video Preset: Faster
Frames Per Second > Higher Is Better
a . 3.580 |===================================================================
b . 3.644 |====================================================================
c . 3.601 |===================================================================
VVenC 1.7
Video Input: Bosphorus 1080p - Video Preset: Fast
Frames Per Second > Higher Is Better
a . 5.335 |===================================================================
b . 5.445 |====================================================================
c . 5.400 |===================================================================
VVenC 1.7
Video Input: Bosphorus 1080p - Video Preset: Faster
Frames Per Second > Higher Is Better
a . 13.07 |===================================================================
b . 13.29 |====================================================================
c . 13.07 |===================================================================