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