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AMD Ryzen 7 PRO 5850U testing with a HP 8A78 (F.04 BIOS) and AMD Cezanne 512MB on Pop 22.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2309117-NE-SSSA9358544&grs&sor.
Apache Hadoop
Operation: File Status - Threads: 100 - Files: 1000000
Apache Hadoop
Operation: Open - Threads: 20 - Files: 100000
Apache Hadoop
Operation: File Status - Threads: 100 - Files: 100000
Apache Hadoop
Operation: Open - Threads: 100 - Files: 1000000
AOM AV1
Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p
Apache Hadoop
Operation: File Status - Threads: 20 - Files: 1000000
Apache Hadoop
Operation: File Status - Threads: 20 - Files: 100000
AOM AV1
Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K
Dragonflydb
Clients Per Thread: 50 - Set To Get Ratio: 1:10
Dragonflydb
Clients Per Thread: 60 - Set To Get Ratio: 1:10
dav1d
Video Input: Chimera 1080p 10-bit
AOM AV1
Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p
Apache Hadoop
Operation: Open - Threads: 50 - Files: 1000000
NCNN
Target: CPU - Model: shufflenet-v2
NCNN
Target: CPU-v3-v3 - Model: mobilenet-v3
Dragonflydb
Clients Per Thread: 10 - Set To Get Ratio: 1:10
NCNN
Target: CPU - Model: resnet18
Dragonflydb
Clients Per Thread: 100 - Set To Get Ratio: 1:10
AOM AV1
Encoder Mode: Speed 11 Realtime - Input: Bosphorus 1080p
Stress-NG
Test: AVX-512 VNNI
Dragonflydb
Clients Per Thread: 10 - Set To Get Ratio: 1:100
Xonotic
Resolution: 1920 x 1080 - Effects Quality: High
NCNN
Target: CPU-v2-v2 - Model: mobilenet-v2
Z3 Theorem Prover
SMT File: 1.smt2
Palabos
Grid Size: 500
Stress-NG
Test: CPU Stress
NCNN
Target: CPU - Model: efficientnet-b0
Apache Hadoop
Operation: File Status - Threads: 50 - Files: 1000000
Apache Hadoop
Operation: Open - Threads: 20 - Files: 1000000
Stress-NG
Test: Mixed Scheduler
Dragonflydb
Clients Per Thread: 60 - Set To Get Ratio: 1:100
NCNN
Target: CPU - Model: FastestDet
Apache Hadoop
Operation: Rename - Threads: 100 - Files: 1000000
Apache Hadoop
Operation: Open - Threads: 50 - Files: 100000
Apache Hadoop
Operation: Rename - Threads: 50 - Files: 100000
Intel Open Image Denoise
Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only
Apache Hadoop
Operation: Open - Threads: 100 - Files: 100000
NCNN
Target: CPU - Model: regnety_400m
Palabos
Grid Size: 400
SVT-AV1
Encoder Mode: Preset 13 - Input: Bosphorus 1080p
Apache IoTDB
Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 200
Apache IoTDB
Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 200
QMCPACK
Input: Li2_STO_ae
AOM AV1
Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K
Apache Hadoop
Operation: File Status - Threads: 50 - Files: 100000
Dragonflydb
Clients Per Thread: 20 - Set To Get Ratio: 1:100
Apache Hadoop
Operation: Create - Threads: 50 - Files: 1000000
Apache Hadoop
Operation: Create - Threads: 50 - Files: 100000
Apache CouchDB
Bulk Size: 100 - Inserts: 1000 - Rounds: 30
Apache Hadoop
Operation: Create - Threads: 100 - Files: 100000
Apache IoTDB
Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 500
Redis 7.0.12 + memtier_benchmark
Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:5
NCNN
Target: CPU - Model: mobilenet
Apache IoTDB
Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 200
NCNN
Target: CPU - Model: mnasnet
Xonotic
Resolution: 1920 x 1080 - Effects Quality: Ultra
QuantLib
AOM AV1
Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p
Apache Hadoop
Operation: Delete - Threads: 100 - Files: 1000000
Apache IoTDB
Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 500
AOM AV1
Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p
Apache IoTDB
Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 200
Dragonflydb
Clients Per Thread: 100 - Set To Get Ratio: 1:100
Apache IoTDB
Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200
Whisper.cpp
Model: ggml-small.en - Input: 2016 State of the Union
BRL-CAD
VGR Performance Metric
srsRAN Project
Test: Downlink Processor Benchmark
Palabos
Grid Size: 100
Blender
Blend File: Pabellon Barcelona - Compute: CPU-Only
Apache CouchDB
Bulk Size: 300 - Inserts: 1000 - Rounds: 30
Z3 Theorem Prover
SMT File: 2.smt2
SVT-AV1
Encoder Mode: Preset 12 - Input: Bosphorus 1080p
NCNN
Target: CPU - Model: resnet50
Xonotic
Resolution: 1920 x 1080 - Effects Quality: Low
Apache IoTDB
Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 200
VVenC
Video Input: Bosphorus 4K - Video Preset: Faster
NCNN
Target: CPU - Model: blazeface
Apache IoTDB
Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 200
Dragonflydb
Clients Per Thread: 20 - Set To Get Ratio: 1:10
Apache IoTDB
Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 200
Apache Hadoop
Operation: Delete - Threads: 50 - Files: 1000000
NCNN
Target: CPU - Model: alexnet
Redis 7.0.12 + memtier_benchmark
Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5
Apache IoTDB
Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500
Apache IoTDB
Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 500
QMCPACK
Input: simple-H2O
libavif avifenc
Encoder Speed: 10, Lossless
NCNN
Target: CPU - Model: squeezenet_ssd
Apache CouchDB
Bulk Size: 300 - Inserts: 3000 - Rounds: 30
Apache IoTDB
Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 500
eSpeak-NG Speech Engine
Text-To-Speech Synthesis
libxsmm
M N K: 64
Apache IoTDB
Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 500
Apache Cassandra
Test: Writes
Apache IoTDB
Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 200
Apache Hadoop
Operation: Rename - Threads: 20 - Files: 100000
Apache Hadoop
Operation: Delete - Threads: 20 - Files: 100000
Apache Hadoop
Operation: Rename - Threads: 50 - Files: 1000000
Apache CouchDB
Bulk Size: 500 - Inserts: 3000 - Rounds: 30
dav1d
Video Input: Chimera 1080p
NCNN
Target: CPU - Model: googlenet
AOM AV1
Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K
Apache IoTDB
Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 200
Blender
Blend File: Barbershop - Compute: CPU-Only
Apache IoTDB
Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 500
Neural Magic DeepSparse
Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream
Apache Hadoop
Operation: Rename - Threads: 20 - Files: 1000000
Apache CouchDB
Bulk Size: 500 - Inserts: 1000 - Rounds: 30
VVenC
Video Input: Bosphorus 1080p - Video Preset: Fast
Apache IoTDB
Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 500
Redis 7.0.12 + memtier_benchmark
Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10
libxsmm
M N K: 32
AOM AV1
Encoder Mode: Speed 11 Realtime - Input: Bosphorus 4K
SVT-AV1
Encoder Mode: Preset 4 - Input: Bosphorus 1080p
Apache Hadoop
Operation: Create - Threads: 100 - Files: 1000000
VVenC
Video Input: Bosphorus 1080p - Video Preset: Faster
Apache IoTDB
Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 200
Xonotic
Resolution: 1920 x 1080 - Effects Quality: Ultimate
SQLite
Threads / Copies: 1
Apache Hadoop
Operation: Delete - Threads: 50 - Files: 100000
Apache IoTDB
Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 500
Embree
Binary: Pathtracer ISPC - Model: Asian Dragon
Apache IoTDB
Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500
AOM AV1
Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p
Apache Hadoop
Operation: Create - Threads: 20 - Files: 1000000
Apache Hadoop
Operation: Delete - Threads: 100 - Files: 100000
Stress-NG
Test: Crypto
OSPRay
Benchmark: gravity_spheres_volume/dim_512/ao/real_time
dav1d
Video Input: Summer Nature 1080p
Neural Magic DeepSparse
Model: BERT-Large, NLP Question Answering - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: BERT-Large, NLP Question Answering - Scenario: Synchronous Single-Stream
SVT-AV1
Encoder Mode: Preset 13 - Input: Bosphorus 4K
Dragonflydb
Clients Per Thread: 50 - Set To Get Ratio: 1:100
Laghos
Test: Sedov Blast Wave, ube_922_hex.mesh
NCNN
Target: CPU - Model: yolov4-tiny
SVT-AV1
Encoder Mode: Preset 8 - Input: Bosphorus 1080p
Apache Hadoop
Operation: Delete - Threads: 20 - Files: 1000000
Apache Hadoop
Operation: Create - Threads: 20 - Files: 100000
libavif avifenc
Encoder Speed: 2
AOM AV1
Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K
Apache IoTDB
Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 500
AOM AV1
Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K
SVT-AV1
Encoder Mode: Preset 12 - Input: Bosphorus 4K
OSPRay
Benchmark: particle_volume/pathtracer/real_time
NCNN
Target: CPU - Model: vision_transformer
Whisper.cpp
Model: ggml-base.en - Input: 2016 State of the Union
Blender
Blend File: Fishy Cat - Compute: CPU-Only
OSPRay
Benchmark: gravity_spheres_volume/dim_512/scivis/real_time
libavif avifenc
Encoder Speed: 0
Laghos
Test: Triple Point Problem
OSPRay
Benchmark: particle_volume/ao/real_time
SQLite
Threads / Copies: 2
VVenC
Video Input: Bosphorus 4K - Video Preset: Fast
Liquid-DSP
Threads: 16 - Buffer Length: 256 - Filter Length: 32
SQLite
Threads / Copies: 8
SQLite
Threads / Copies: 4
Embree
Binary: Pathtracer ISPC - Model: Crown
NCNN
Target: CPU - Model: vgg16
Redis 7.0.12 + memtier_benchmark
Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:10
Apache CouchDB
Bulk Size: 100 - Inserts: 3000 - Rounds: 30
Liquid-DSP
Threads: 16 - Buffer Length: 256 - Filter Length: 57
Embree
Binary: Pathtracer ISPC - Model: Asian Dragon Obj
Embree
Binary: Pathtracer - Model: Asian Dragon Obj
libavif avifenc
Encoder Speed: 6
Apache IoTDB
Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 500
libavif avifenc
Encoder Speed: 6, Lossless
Blender
Blend File: BMW27 - Compute: CPU-Only
srsRAN Project
Test: PUSCH Processor Benchmark, Throughput Total
QMCPACK
Input: FeCO6_b3lyp_gms
SVT-AV1
Encoder Mode: Preset 8 - Input: Bosphorus 4K
High Performance Conjugate Gradient
X Y Z: 104 104 104 - RT: 60
AOM AV1
Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K
OSPRay
Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time
SVT-AV1
Encoder Mode: Preset 4 - Input: Bosphorus 4K
Embree
Binary: Pathtracer - Model: Asian Dragon
AOM AV1
Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p
Apache IoTDB
Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200
Embree
Binary: Pathtracer - Model: Crown
QMCPACK
Input: FeCO6_b3lyp_gms
srsRAN Project
Test: PUSCH Processor Benchmark, Throughput Thread
Liquid-DSP
Threads: 16 - Buffer Length: 256 - Filter Length: 512
OSPRay
Benchmark: particle_volume/scivis/real_time
SQLite
Threads / Copies: 16
Blender
Blend File: Classroom - Compute: CPU-Only
dav1d
Video Input: Summer Nature 4K
Apache Hadoop
Operation: Rename - Threads: 100 - Files: 100000
Intel Open Image Denoise
Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only
Intel Open Image Denoise
Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only
AOM AV1
Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p
AOM AV1
Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K
Phoronix Test Suite v10.8.5