Ryzen 7 4800U OnLogic

AMD Ryzen 7 4800U testing with a ASRock 4X4-4000 (P1.30Q BIOS) and AMD Renoir on Ubuntu 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 2204257-NE-2204246NE21
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AV1 3 Tests
Timed Code Compilation 3 Tests
C/C++ Compiler Tests 6 Tests
Compression Tests 2 Tests
CPU Massive 10 Tests
Creator Workloads 9 Tests
Database Test Suite 2 Tests
Desktop Graphics 3 Tests
Encoding 3 Tests
Game Development 3 Tests
HPC - High Performance Computing 2 Tests
Imaging 2 Tests
Java 2 Tests
Common Kernel Benchmarks 2 Tests
Multi-Core 13 Tests
Intel oneAPI 3 Tests
Programmer / Developer System Benchmarks 6 Tests
Python Tests 2 Tests
Renderers 2 Tests
Server 3 Tests
Server CPU Tests 9 Tests
Video Encoding 3 Tests
Common Workstation Benchmarks 2 Tests

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Ryzen 7 4800U: Ubuntu 20.04.4
April 23 2022
  6 Hours, 29 Minutes
Ryzen 7 4800U: Ubuntu 22.04
April 24 2022
  5 Hours, 26 Minutes
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  5 Hours, 57 Minutes
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Ryzen 7 4800U OnLogic Suite 1.0.0 System Test suite extracted from Ryzen 7 4800U OnLogic. pts/stress-ng-1.4.0 --msg 0 Test: System V Message Passing pts/dacapobench-1.0.1 tradebeans Java Test: Tradebeans pts/renaissance-1.2.0 finagle-http Test: Finagle HTTP Requests pts/stress-ng-1.4.0 --vecmath 0 Test: Vector Math pts/renaissance-1.2.0 future-genetic Test: Genetic Algorithm Using Jenetics + Futures pts/svt-av1-2.5.0 --preset 12 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Preset 12 - Input: Bosphorus 1080p pts/svt-av1-2.5.0 --preset 10 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Preset 10 - Input: Bosphorus 1080p pts/redis-1.3.1 -t set Test: SET pts/stress-ng-1.4.0 --mmap 0 Test: MMAP pts/stress-ng-1.4.0 --sem 0 Test: Semaphores pts/svt-av1-2.5.0 --preset 10 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 10 - Input: Bosphorus 4K pts/svt-av1-2.5.0 --preset 8 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Preset 8 - Input: Bosphorus 1080p pts/quantlib-1.0.0 pts/paraview-1.2.0 waveletvolume.py -d 256 -f 600 -v 1920,1080 Test: Wavelet Volume - Resolution: 1920 x 1080 pts/svt-av1-2.5.0 --preset 12 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 12 - Input: Bosphorus 4K pts/build-godot-1.0.0 Time To Compile pts/xonotic-1.5.2 +vid_width 1920 +vid_height 1080 +exec effects-high.cfg Resolution: 1920 x 1080 - Effects Quality: High pts/dacapobench-1.0.1 h2 Java Test: H2 pts/xonotic-1.5.2 +vid_width 1920 +vid_height 1080 +exec effects-ultra.cfg Resolution: 1920 x 1080 - Effects Quality: Ultra pts/compress-zstd-1.5.0 -b3 Compression Level: 3 - Compression Speed pts/onednn-1.8.0 --deconv --batch=inputs/deconv/shapes_1d --cfg=f32 --engine=cpu Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU pts/stress-ng-1.4.0 --fork 0 Test: Forking pts/webp-1.0.0 Encode Settings: Default pts/renaissance-1.2.0 db-shootout Test: In-Memory Database Shootout pts/tesseract-1.1.0 -w1920 -h1080 Resolution: 1920 x 1080 pts/aom-av1-3.3.0 --cpu-used=6 Bosphorus_3840x2160.y4m Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K pts/dacapobench-1.0.1 tradesoap Java Test: Tradesoap pts/stress-ng-1.4.0 --cpu 0 --cpu-method all Test: CPU Stress pts/svt-av1-2.5.0 --preset 8 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 8 - Input: Bosphorus 4K pts/sqlite-speedtest-1.0.1 Timed Time - Size 1,000 pts/aom-av1-3.3.0 --cpu-used=10 --rt Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p pts/build-mplayer-1.5.0 Time To Compile pts/xonotic-1.5.2 +vid_width 1920 +vid_height 1080 +exec effects-ultimate.cfg Resolution: 1920 x 1080 - Effects Quality: Ultimate pts/renaissance-1.2.0 als Test: Apache Spark ALS pts/compress-zstd-1.5.0 -b19 Compression Level: 19 - Decompression Speed pts/aom-av1-3.3.0 --cpu-used=9 --rt Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p pts/dacapobench-1.0.1 jython Java Test: Jython pts/compress-zstd-1.5.0 -b3 Compression Level: 3 - Decompression Speed pts/build-wasmer-1.1.0 Time To Compile pts/stress-ng-1.4.0 --str 0 Test: Glibc C String Functions pts/blender-3.0.0 -b ../bmw27_gpu.blend -o output.test -x 1 -F JPEG -f 1 NONE Blend File: BMW27 - Compute: CPU-Only pts/simdjson-1.3.0 distinct_user_id Throughput Test: DistinctUserID pts/avifenc-1.2.0 -s 6 -l Encoder Speed: 6, Lossless pts/oidn-1.4.0 -r RT.ldr_alb_nrm.3840x2160 Run: RT.ldr_alb_nrm.3840x2160 pts/oidn-1.4.0 -r RT.hdr_alb_nrm.3840x2160 Run: RT.hdr_alb_nrm.3840x2160 pts/stress-ng-1.4.0 --crypt 0 Test: Crypto pts/renaissance-1.2.0 akka-uct Test: Akka Unbalanced Cobwebbed Tree pts/compress-zstd-1.5.0 -b19 --long Compression Level: 19, Long Mode - Decompression Speed pts/avifenc-1.2.0 -s 6 Encoder Speed: 6 pts/compress-7zip-1.8.0 Test: Compression Rating pts/avifenc-1.2.0 -s 0 Encoder Speed: 0 pts/compress-zstd-1.5.0 -b19 Compression Level: 19 - Compression Speed pts/renaissance-1.2.0 dotty Test: Scala Dotty pts/paraview-1.2.0 waveletcontour.py -d 256 -f 600 -v 1920,1080 Test: Wavelet Contour - Resolution: 1920 x 1080 pts/avifenc-1.2.0 -s 2 Encoder Speed: 2 pts/onednn-1.8.0 --rnn --batch=inputs/rnn/perf_rnn_training --cfg=bf16bf16bf16 --engine=cpu Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU pts/compress-zstd-1.5.0 -b19 --long Compression Level: 19, Long Mode - Compression Speed pts/avifenc-1.2.0 -s 10 -l Encoder Speed: 10, Lossless pts/onednn-1.8.0 --rnn --batch=inputs/rnn/perf_rnn_training --cfg=u8s8f32 --engine=cpu Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU pts/renaissance-1.2.0 page-rank Test: Apache Spark PageRank pts/webp-1.0.0 -q 100 Encode Settings: Quality 100 pts/onednn-1.8.0 --rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=bf16bf16bf16 --engine=cpu Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU pts/renaissance-1.2.0 movie-lens Test: ALS Movie Lens pts/stress-ng-1.4.0 --malloc 0 Test: Malloc pts/onednn-1.8.0 --rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=f32 --engine=cpu Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU pts/stress-ng-1.4.0 --cache 0 Test: CPU Cache pts/ospray-studio-1.0.1 --cameras 3 3 --resolution 1920 1080 --spp 32 --renderer pathtracer Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer pts/webp-1.0.0 -q 100 -lossless -m 6 Encode Settings: Quality 100, Lossless, Highest Compression pts/compress-7zip-1.8.0 Test: Decompression Rating pts/hpcg-1.2.1 pts/paraview-1.2.0 manyspheres.py -s 100 -r 726 -f 600 -v 1920,1080 Test: Many Spheres - Resolution: 1920 x 1080 pts/simdjson-1.3.0 partial_tweets Throughput Test: PartialTweets pts/ospray-studio-1.0.1 --cameras 1 1 --resolution 1920 1080 --spp 1 --renderer pathtracer Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer pts/ospray-studio-1.0.1 --cameras 1 1 --resolution 1920 1080 --spp 32 --renderer pathtracer Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer pts/ospray-studio-1.0.1 --cameras 3 3 --resolution 1920 1080 --spp 1 --renderer pathtracer Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer pts/webp-1.0.0 -q 100 -lossless Encode Settings: Quality 100, Lossless pts/stress-ng-1.4.0 --sock 0 Test: Socket Activity pts/redis-1.3.1 -t get Test: GET