4500u db
AMD Ryzen 5 4500U testing with a LENOVO LNVNB161216 (EECN20WW BIOS) and AMD Renoir 512MB on Pop 22.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2208208-NE-4500UDB7419&sor&grs.
NCNN
Target: CPU - Model: shufflenet-v2
NCNN
Target: CPU - Model: regnety_400m
NCNN
Target: CPU-v3-v3 - Model: mobilenet-v3
NCNN
Target: CPU - Model: efficientnet-b0
NCNN
Target: CPU - Model: mnasnet
Dragonflydb
Clients: 200 - Set To Get Ratio: 5:1
Dragonflydb
Clients: 50 - Set To Get Ratio: 1:1
Dragonflydb
Clients: 200 - Set To Get Ratio: 1:5
NCNN
Target: CPU - Model: resnet50
Dragonflydb
Clients: 50 - Set To Get Ratio: 1:5
NCNN
Target: CPU - Model: FastestDet
Dragonflydb
Clients: 200 - Set To Get Ratio: 1:1
NCNN
Target: CPU-v2-v2 - Model: mobilenet-v2
NCNN
Target: CPU - Model: googlenet
Apache Spark
Row Count: 40000000 - Partitions: 500 - Inner Join Test Time
Dragonflydb
Clients: 50 - Set To Get Ratio: 5:1
Apache Spark
Row Count: 1000000 - Partitions: 2000 - Inner Join Test Time
Redis
Test: LPOP - Parallel Connections: 50
Redis
Test: LPOP - Parallel Connections: 500
Apache Spark
Row Count: 10000000 - Partitions: 1000 - Broadcast Inner Join Test Time
Apache Spark
Row Count: 1000000 - Partitions: 100 - Broadcast Inner Join Test Time
Apache Spark
Row Count: 1000000 - Partitions: 1000 - SHA-512 Benchmark Time
Apache Spark
Row Count: 1000000 - Partitions: 500 - Group By Test Time
Apache Spark
Row Count: 1000000 - Partitions: 100 - Repartition Test Time
Redis
Test: GET - Parallel Connections: 50
Apache Spark
Row Count: 40000000 - Partitions: 500 - Repartition Test Time
NCNN
Target: CPU - Model: blazeface
Apache Spark
Row Count: 10000000 - Partitions: 500 - Repartition Test Time
Apache Spark
Row Count: 40000000 - Partitions: 100 - Inner Join Test Time
Apache Spark
Row Count: 1000000 - Partitions: 100 - Group By Test Time
Apache Spark
Row Count: 40000000 - Partitions: 100 - Group By Test Time
Apache Spark
Row Count: 20000000 - Partitions: 2000 - Group By Test Time
Apache Spark
Row Count: 10000000 - Partitions: 100 - Repartition Test Time
Apache Spark
Row Count: 40000000 - Partitions: 2000 - Group By Test Time
Apache Spark
Row Count: 1000000 - Partitions: 500 - Repartition Test Time
Apache Spark
Row Count: 10000000 - Partitions: 1000 - Inner Join Test Time
Apache Spark
Row Count: 40000000 - Partitions: 100 - Repartition Test Time
Apache Spark
Row Count: 1000000 - Partitions: 500 - Inner Join Test Time
Apache Spark
Row Count: 10000000 - Partitions: 100 - Inner Join Test Time
Apache Spark
Row Count: 1000000 - Partitions: 1000 - Broadcast Inner Join Test Time
Apache Spark
Row Count: 1000000 - Partitions: 2000 - Broadcast Inner Join Test Time
Mobile Neural Network
Model: squeezenetv1.1
Apache Spark
Row Count: 10000000 - Partitions: 1000 - Group By Test Time
Apache Spark
Row Count: 40000000 - Partitions: 2000 - Inner Join Test Time
Apache Spark
Row Count: 40000000 - Partitions: 1000 - Inner Join Test Time
memtier_benchmark
Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:1
Mobile Neural Network
Model: mobilenet-v1-1.0
Apache Spark
Row Count: 10000000 - Partitions: 1000 - Repartition Test Time
Apache Spark
Row Count: 1000000 - Partitions: 500 - Broadcast Inner Join Test Time
Apache Spark
Row Count: 40000000 - Partitions: 100 - Broadcast Inner Join Test Time
Apache Spark
Row Count: 1000000 - Partitions: 1000 - Repartition Test Time
Apache Spark
Row Count: 10000000 - Partitions: 2000 - Group By Test Time
memtier_benchmark
Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:5
Redis
Test: LPUSH - Parallel Connections: 50
Apache Spark
Row Count: 1000000 - Partitions: 100 - SHA-512 Benchmark Time
Apache Spark
Row Count: 20000000 - Partitions: 100 - Broadcast Inner Join Test Time
Apache Spark
Row Count: 40000000 - Partitions: 500 - Broadcast Inner Join Test Time
Mobile Neural Network
Model: SqueezeNetV1.0
Apache Spark
Row Count: 20000000 - Partitions: 500 - Group By Test Time
Apache Spark
Row Count: 20000000 - Partitions: 1000 - Inner Join Test Time
Apache Spark
Row Count: 1000000 - Partitions: 100 - Inner Join Test Time
Apache Spark
Row Count: 20000000 - Partitions: 100 - SHA-512 Benchmark Time
Apache Spark
Row Count: 20000000 - Partitions: 1000 - Group By Test Time
Redis
Test: LPUSH - Parallel Connections: 1000
Apache Spark
Row Count: 10000000 - Partitions: 500 - Group By Test Time
Apache Spark
Row Count: 20000000 - Partitions: 100 - Inner Join Test Time
Redis
Test: LPUSH - Parallel Connections: 500
Apache Spark
Row Count: 40000000 - Partitions: 2000 - SHA-512 Benchmark Time
Apache Spark
Row Count: 20000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframe
Apache Spark
Row Count: 1000000 - Partitions: 2000 - Repartition Test Time
memtier_benchmark
Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:10
Apache Spark
Row Count: 10000000 - Partitions: 2000 - Inner Join Test Time
Mobile Neural Network
Model: inception-v3
Apache Spark
Row Count: 10000000 - Partitions: 100 - SHA-512 Benchmark Time
Apache Spark
Row Count: 20000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframe
Apache Spark
Row Count: 20000000 - Partitions: 1000 - Repartition Test Time
Apache Spark
Row Count: 20000000 - Partitions: 100 - Repartition Test Time
Apache Spark
Row Count: 1000000 - Partitions: 2000 - SHA-512 Benchmark Time
Apache Spark
Row Count: 10000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe
Apache Spark
Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe
memtier_benchmark
Protocol: Redis - Clients: 500 - Set To Get Ratio: 5:1
Apache Spark
Row Count: 20000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe
Apache Spark
Row Count: 10000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframe
Apache Spark
Row Count: 10000000 - Partitions: 500 - Inner Join Test Time
Mobile Neural Network
Model: mobilenetV3
Apache Spark
Row Count: 20000000 - Partitions: 2000 - Broadcast Inner Join Test Time
Apache Spark
Row Count: 20000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe
Apache Spark
Row Count: 1000000 - Partitions: 500 - SHA-512 Benchmark Time
Redis
Test: SADD - Parallel Connections: 500
Apache Spark
Row Count: 40000000 - Partitions: 100 - SHA-512 Benchmark Time
Apache Spark
Row Count: 1000000 - Partitions: 2000 - Group By Test Time
Apache Spark
Row Count: 20000000 - Partitions: 2000 - Inner Join Test Time
Apache Spark
Row Count: 40000000 - Partitions: 500 - Group By Test Time
Apache Spark
Row Count: 20000000 - Partitions: 100 - Group By Test Time
NCNN
Target: CPU - Model: vision_transformer
Mobile Neural Network
Model: MobileNetV2_224
Apache Spark
Row Count: 10000000 - Partitions: 500 - Broadcast Inner Join Test Time
Apache Spark
Row Count: 1000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframe
Apache Spark
Row Count: 20000000 - Partitions: 2000 - SHA-512 Benchmark Time
Apache Spark
Row Count: 10000000 - Partitions: 2000 - SHA-512 Benchmark Time
Apache Spark
Row Count: 40000000 - Partitions: 100 - Calculate Pi Benchmark
Apache Spark
Row Count: 10000000 - Partitions: 100 - Group By Test Time
Apache Spark
Row Count: 40000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframe
Apache Spark
Row Count: 10000000 - Partitions: 100 - Broadcast Inner Join Test Time
Apache Spark
Row Count: 10000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframe
Mobile Neural Network
Model: resnet-v2-50
Apache Spark
Row Count: 1000000 - Partitions: 500 - Calculate Pi Benchmark
NCNN
Target: CPU - Model: resnet18
Apache Spark
Row Count: 20000000 - Partitions: 500 - SHA-512 Benchmark Time
Redis
Test: LPOP - Parallel Connections: 1000
Apache Spark
Row Count: 40000000 - Partitions: 1000 - Group By Test Time
memtier_benchmark
Protocol: Redis - Clients: 50 - Set To Get Ratio: 5:1
Apache Spark
Row Count: 10000000 - Partitions: 500 - SHA-512 Benchmark Time
Apache Spark
Row Count: 20000000 - Partitions: 1000 - Broadcast Inner Join Test Time
Apache Spark
Row Count: 20000000 - Partitions: 1000 - SHA-512 Benchmark Time
Apache Spark
Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark
Apache Spark
Row Count: 10000000 - Partitions: 2000 - Broadcast Inner Join Test Time
Apache Spark
Row Count: 20000000 - Partitions: 100 - Calculate Pi Benchmark
Apache Spark
Row Count: 40000000 - Partitions: 500 - Calculate Pi Benchmark
Apache Spark
Row Count: 1000000 - Partitions: 1000 - Group By Test Time
Apache Spark
Row Count: 40000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe
memtier_benchmark
Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:5
Apache Spark
Row Count: 20000000 - Partitions: 1000 - Calculate Pi Benchmark
Apache Spark
Row Count: 10000000 - Partitions: 2000 - Repartition Test Time
Apache Spark
Row Count: 40000000 - Partitions: 500 - SHA-512 Benchmark Time
Apache Spark
Row Count: 20000000 - Partitions: 500 - Repartition Test Time
Apache Spark
Row Count: 20000000 - Partitions: 2000 - Repartition Test Time
Apache Spark
Row Count: 10000000 - Partitions: 2000 - Calculate Pi Benchmark
Apache Spark
Row Count: 10000000 - Partitions: 1000 - Calculate Pi Benchmark
Apache Spark
Row Count: 40000000 - Partitions: 1000 - Broadcast Inner Join Test Time
memtier_benchmark
Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:1
Apache Spark
Row Count: 40000000 - Partitions: 2000 - Repartition Test Time
memtier_benchmark
Protocol: Redis - Clients: 100 - Set To Get Ratio: 5:1
memtier_benchmark
Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:1
Apache Spark
Row Count: 1000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframe
Apache Spark
Row Count: 20000000 - Partitions: 500 - Calculate Pi Benchmark
NCNN
Target: CPU - Model: alexnet
Apache Spark
Row Count: 1000000 - Partitions: 1000 - Inner Join Test Time
Apache Spark
Row Count: 20000000 - Partitions: 500 - Inner Join Test Time
Apache Spark
Row Count: 40000000 - Partitions: 1000 - Repartition Test Time
memtier_benchmark
Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5
Redis
Test: GET - Parallel Connections: 1000
Apache Spark
Row Count: 40000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframe
Redis
Test: GET - Parallel Connections: 500
Apache Spark
Row Count: 10000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe
Apache Spark
Row Count: 1000000 - Partitions: 2000 - Calculate Pi Benchmark
Apache Spark
Row Count: 40000000 - Partitions: 1000 - Calculate Pi Benchmark
Memcached
Set To Get Ratio: 1:1
NCNN
Target: CPU - Model: yolov4-tiny
memtier_benchmark
Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:10
Apache Spark
Row Count: 1000000 - Partitions: 1000 - Calculate Pi Benchmark
Apache Spark
Row Count: 1000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe
Redis
Test: SET - Parallel Connections: 500
Apache Spark
Row Count: 40000000 - Partitions: 1000 - SHA-512 Benchmark Time
Redis
Test: SET - Parallel Connections: 1000
Redis
Test: SADD - Parallel Connections: 50
NCNN
Target: CPU - Model: mobilenet
Redis
Test: SADD - Parallel Connections: 1000
Apache Spark
Row Count: 10000000 - Partitions: 1000 - SHA-512 Benchmark Time
Apache Spark
Row Count: 20000000 - Partitions: 500 - Broadcast Inner Join Test Time
Apache Spark
Row Count: 10000000 - Partitions: 500 - Calculate Pi Benchmark
Apache Spark
Row Count: 40000000 - Partitions: 2000 - Broadcast Inner Join Test Time
Redis
Test: SET - Parallel Connections: 50
Apache Spark
Row Count: 40000000 - Partitions: 2000 - Calculate Pi Benchmark
Apache Spark
Row Count: 10000000 - Partitions: 100 - Calculate Pi Benchmark
Apache Spark
Row Count: 20000000 - Partitions: 2000 - Calculate Pi Benchmark
memtier_benchmark
Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10
NCNN
Target: CPU - Model: squeezenet_ssd
NCNN
Target: CPU - Model: vgg16
Apache Spark
Row Count: 40000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe
Phoronix Test Suite v10.8.4