sup easter

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.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2304082-NE-SUPEASTER15
Jump To Table - Results

View

Do Not Show Noisy Results
Do Not Show Results With Incomplete Data
Do Not Show Results With Little Change/Spread
List Notable Results

Limit displaying results to tests within:

Timed Code Compilation 4 Tests
C/C++ Compiler Tests 3 Tests
CPU Massive 7 Tests
Creator Workloads 4 Tests
Game Development 2 Tests
Common Kernel Benchmarks 2 Tests
Multi-Core 7 Tests
Programmer / Developer System Benchmarks 4 Tests
Python Tests 3 Tests
Server 3 Tests
Server CPU Tests 5 Tests

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
Show Geometric Means Per-Suite/Category
Show Wins / Losses Counts (Pie Chart)
Normalize Results
Remove Outliers Before Calculating Averages

Graph Settings

Force Line Graphs Where Applicable
Convert To Scalar Where Applicable
Prefer Vertical Bar Graphs

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Hide
Result
Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
a
April 08 2023
  2 Hours, 2 Minutes
b
April 08 2023
  2 Hours, 3 Minutes
Invert Hiding All Results Option
  2 Hours, 3 Minutes
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):

sup easter Suite 1.0.0 System Test suite extracted from sup easter. pts/apache-3.0.0 -c 100 Concurrent Requests: 100 pts/nginx-3.0.1 -c 1000 Connections: 1000 pts/onednn-3.1.0 --deconv --batch=inputs/deconv/shapes_1d --cfg=f32 --engine=cpu Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU pts/apache-3.0.0 -c 200 Concurrent Requests: 200 pts/apache-3.0.0 -c 500 Concurrent Requests: 500 pts/build-llvm-1.5.0 Build System: Unix Makefiles pts/onednn-3.1.0 --ip --batch=inputs/ip/shapes_1d --cfg=f32 --engine=cpu Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU pts/srsran-2.0.0 tests/benchmarks/phy/upper/channel_processors/pusch_processor_benchmark -m throughput_thread -R 100 Test: PUSCH Processor Benchmark, Throughput Thread pts/vvenc-1.8.0 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset fast Video Input: Bosphorus 1080p - Video Preset: Fast pts/apache-3.0.0 -c 1000 Concurrent Requests: 1000 pts/build-llvm-1.5.0 Ninja Build System: Ninja pts/srsran-2.0.0 tests/benchmarks/phy/upper/downlink_processor_benchmark -R 50000 Test: Downlink Processor Benchmark pts/srsran-2.0.0 tests/benchmarks/phy/upper/channel_processors/pusch_processor_benchmark -m throughput_total -R 100 Test: PUSCH Processor Benchmark, Throughput Total pts/stress-ng-1.8.0 --cpu -1 --cpu-method all --no-rand-seed Test: CPU Stress pts/stress-ng-1.8.0 --zlib -1 --no-rand-seed Test: Zlib pts/vvenc-1.8.0 -i Bosphorus_3840x2160.y4m --preset faster Video Input: Bosphorus 4K - Video Preset: Faster pts/vvenc-1.8.0 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset faster Video Input: Bosphorus 1080p - Video Preset: Faster pts/build-nodejs-1.3.0 Time To Compile pts/memcached-1.2.0 --ratio=1:10 Set To Get Ratio: 1:10 pts/nginx-3.0.1 -c 200 Connections: 200 pts/geekbench-6.0.0 --single-core Test: CPU Single Core pts/geekbench-6.0.0 --multi-core Test: CPU Multi Core pts/nginx-3.0.1 -c 100 Connections: 100 pts/onednn-3.1.0 --rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=f32 --engine=cpu Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU pts/build-godot-4.0.0 Time To Compile pts/geekbench-6.0.0 --compute Vulkan Test: GPU Vulkan pts/onednn-3.1.0 --rnn --batch=inputs/rnn/perf_rnn_training --cfg=f32 --engine=cpu Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU pts/blender-3.5.0 -b ../bmw27_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: BMW27 - Compute: CPU-Only pts/build2-1.2.0 Time To Compile pts/nginx-3.0.1 -c 500 Connections: 500 pts/onednn-3.1.0 --ip --batch=inputs/ip/shapes_3d --cfg=f32 --engine=cpu Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU pts/onednn-3.1.0 --deconv --batch=inputs/deconv/shapes_3d --cfg=f32 --engine=cpu Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU pts/onednn-3.1.0 --conv --batch=inputs/conv/shapes_auto --cfg=f32 --engine=cpu Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU pts/memcached-1.2.0 --ratio=1:100 Set To Get Ratio: 1:100 pts/memcached-1.2.0 --ratio=1:5 Set To Get Ratio: 1:5 pts/vvenc-1.8.0 -i Bosphorus_3840x2160.y4m --preset fast Video Input: Bosphorus 4K - Video Preset: Fast