Clear Sapphire

2 x AMD EPYC 9654 96-Core testing with a AMD Titanite_4G (RTI1002E BIOS) and ASPEED on Clear Linux OS 38100 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 2301263-NE-CLEARSAPP02
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AV1 2 Tests
BLAS (Basic Linear Algebra Sub-Routine) Tests 2 Tests
C/C++ Compiler Tests 4 Tests
CPU Massive 15 Tests
Creator Workloads 12 Tests
Database Test Suite 3 Tests
Encoding 4 Tests
Fortran Tests 3 Tests
Game Development 4 Tests
HPC - High Performance Computing 10 Tests
Java 2 Tests
Common Kernel Benchmarks 2 Tests
Machine Learning 4 Tests
Molecular Dynamics 4 Tests
MPI Benchmarks 3 Tests
Multi-Core 16 Tests
NVIDIA GPU Compute 3 Tests
Intel oneAPI 5 Tests
OpenMPI Tests 4 Tests
Programmer / Developer System Benchmarks 3 Tests
Python 3 Tests
Renderers 2 Tests
Scientific Computing 4 Tests
Server 5 Tests
Server CPU Tests 12 Tests
Single-Threaded 2 Tests
Video Encoding 4 Tests
Common Workstation Benchmarks 2 Tests

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  Test
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Clear Linux: 8490H 2P
January 23 2023
  9 Hours, 41 Minutes
Clear Linux: EPYC 9654 2P
January 25 2023
  14 Hours, 5 Minutes
Clear Linux
January 26 2023
  9 Hours, 54 Minutes
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  11 Hours, 13 Minutes

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Clear Sapphire Suite 1.0.0 System Test suite extracted from Clear Sapphire. pts/brl-cad-1.4.0 VGR Performance Metric pts/renaissance-1.3.0 akka-uct Test: Akka Unbalanced Cobwebbed Tree pts/lczero-1.6.0 -b eigen Backend: Eigen pts/nwchem-1.1.1 Input: C240 Buckyball pts/renaissance-1.3.0 movie-lens Test: ALS Movie Lens pts/pgbench-1.13.0 -s 100 -c 1000 Scaling Factor: 100 - Clients: 1000 - Mode: Read Write - Average Latency pts/pgbench-1.13.0 -s 100 -c 1000 Scaling Factor: 100 - Clients: 1000 - Mode: Read Write pts/openvkl-1.3.0 vklBenchmark --benchmark_filter=ispc Benchmark: vklBenchmark ISPC pts/renaissance-1.3.0 reactors Test: Savina Reactors.IO pts/onnx-1.5.0 GPT2/model.onnx -e cpu Model: GPT-2 - Device: CPU - Executor: Standard pts/renaissance-1.3.0 finagle-http Test: Finagle HTTP Requests pts/renaissance-1.3.0 page-rank Test: Apache Spark PageRank pts/mysqlslap-1.3.0 --concurrency=1024 Clients: 1024 pts/onnx-1.5.0 resnet100/resnet100.onnx -e cpu Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard pts/onnx-1.5.0 yolov4/yolov4.onnx -e cpu Model: yolov4 - Device: CPU - Executor: Standard pts/hpcg-1.2.1 pts/pgbench-1.13.0 -s 100 -c 800 Scaling Factor: 100 - Clients: 800 - Mode: Read Write - Average Latency pts/pgbench-1.13.0 -s 100 -c 800 Scaling Factor: 100 - Clients: 800 - Mode: Read Write pts/ospray-2.10.0 --benchmark_filter=particle_volume/ao/real_time Benchmark: particle_volume/ao/real_time pts/onnx-1.5.0 super_resolution/super_resolution.onnx -e cpu Model: super-resolution-10 - Device: CPU - Executor: Standard pts/clickhouse-1.2.0 100M Rows Hits Dataset, First Run / Cold Cache pts/clickhouse-1.2.0 100M Rows Hits Dataset, Third Run pts/clickhouse-1.2.0 100M Rows Hits Dataset, Second Run pts/onednn-3.0.0 --rnn --batch=inputs/rnn/perf_rnn_training --cfg=bf16bf16bf16 --engine=cpu Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU pts/renaissance-1.3.0 dotty Test: Scala Dotty system/compress-zstd-1.5.0 -b19 Compression Level: 19 - Decompression Speed system/compress-zstd-1.5.0 -b19 Compression Level: 19 - Compression Speed pts/stress-ng-1.6.0 --atomic -1 Test: Atomic pts/numenta-nab-1.1.1 -d earthgeckoSkyline Detector: Earthgecko Skyline system/compress-zstd-1.5.0 -b19 --long Compression Level: 19, Long Mode - Decompression Speed system/compress-zstd-1.5.0 -b19 --long Compression Level: 19, Long Mode - Compression Speed pts/onnx-1.5.0 bertsquad-12/bertsquad-12.onnx -e cpu Model: bertsquad-12 - Device: CPU - Executor: Standard pts/onnx-1.5.0 fcn-resnet101-11/model.onnx -e cpu Model: fcn-resnet101-11 - Device: CPU - Executor: Standard pts/stress-ng-1.6.0 --sock -1 Test: Socket Activity pts/ospray-2.10.0 --benchmark_filter=gravity_spheres_volume/dim_512/ao/real_time Benchmark: gravity_spheres_volume/dim_512/ao/real_time pts/blender-3.4.0 -b ../barbershop_interior_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: Barbershop - Compute: CPU-Only pts/renaissance-1.3.0 future-genetic Test: Genetic Algorithm Using Jenetics + Futures pts/stress-ng-1.6.0 --str -1 Test: Glibc C String Functions pts/simdjson-2.0.1 partial_tweets Throughput Test: PartialTweets pts/onednn-3.0.0 --rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=bf16bf16bf16 --engine=cpu Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU pts/stress-ng-1.6.0 --futex -1 Test: Futex pts/numenta-nab-1.1.1 -d knncad Detector: KNN CAD pts/numenta-nab-1.1.1 -d bayesChangePt Detector: Bayesian Changepoint pts/stress-ng-1.6.0 --numa -1 Test: NUMA pts/stress-ng-1.6.0 --cache -1 Test: CPU Cache pts/stress-ng-1.6.0 --memcpy -1 Test: Memory Copying pts/pyperformance-1.0.2 python_startup Benchmark: python_startup pts/renaissance-1.3.0 als Test: Apache Spark ALS pts/simdjson-2.0.1 top_tweet Throughput Test: TopTweet pts/avifenc-1.3.0 -s 0 Encoder Speed: 0 pts/stress-ng-1.6.0 --msg -1 Test: System V Message Passing pts/onednn-3.0.0 --ip --batch=inputs/ip/shapes_1d --cfg=bf16bf16bf16 --engine=cpu Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU pts/renaissance-1.3.0 dec-tree Test: Random Forest pts/namd-1.2.1 ATPase Simulation - 327,506 Atoms pts/simdjson-2.0.1 large_random Throughput Test: LargeRandom system/compress-zstd-1.5.0 -b8 --long Compression Level: 8, Long Mode - Decompression Speed system/compress-zstd-1.5.0 -b8 --long Compression Level: 8, Long Mode - Compression Speed pts/gromacs-1.7.0 mpi-build water-cut1.0_GMX50_bare/1536 Implementation: MPI CPU - Input: water_GMX50_bare pts/pyperformance-1.0.2 2to3 Benchmark: 2to3 pts/dacapobench-1.0.1 h2 Java Test: H2 pts/uvg266-1.0.0 -i Bosphorus_3840x2160.y4m --preset ultrafast Video Input: Bosphorus 4K - Video Preset: Ultra Fast pts/pyperformance-1.0.2 raytrace Benchmark: raytrace pts/cpuminer-opt-1.6.0 -a sha256t Algorithm: Triple SHA-256, Onecoin pts/cpuminer-opt-1.6.0 -a lbry Algorithm: LBC, LBRY Credits pts/pyperformance-1.0.2 pathlib Benchmark: pathlib pts/onednn-3.0.0 --ip --batch=inputs/ip/shapes_3d --cfg=bf16bf16bf16 --engine=cpu Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU pts/onednn-3.0.0 --deconv --batch=inputs/deconv/shapes_1d --cfg=bf16bf16bf16 --engine=cpu Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU pts/avifenc-1.3.0 -s 2 Encoder Speed: 2 system/compress-zstd-1.5.0 -b8 Compression Level: 8 - Decompression Speed system/compress-zstd-1.5.0 -b8 Compression Level: 8 - Compression Speed pts/numenta-nab-1.1.1 -d contextOSE Detector: Contextual Anomaly Detector OSE pts/stress-ng-1.6.0 --malloc -1 Test: Malloc pts/stress-ng-1.6.0 --memfd -1 Test: MEMFD pts/stress-ng-1.6.0 --io-uring -1 Test: IO_uring pts/stress-ng-1.6.0 --switch -1 Test: Context Switching pts/stress-ng-1.6.0 --fork -1 Test: Forking pts/stress-ng-1.6.0 --crypt -1 Test: Crypto pts/stress-ng-1.6.0 --vecmath -1 Test: Vector Math pts/pyperformance-1.0.2 regex_compile Benchmark: regex_compile pts/stress-ng-1.6.0 --mmap -1 Test: MMAP pts/stress-ng-1.6.0 --matrix -1 Test: Matrix Math pts/stress-ng-1.6.0 --sem -1 Test: Semaphores pts/stress-ng-1.6.0 --mutex -1 Test: Mutex pts/stress-ng-1.6.0 --sendfile -1 Test: SENDFILE pts/cpuminer-opt-1.6.0 -a scrypt Algorithm: scrypt pts/cpuminer-opt-1.6.0 -a x25x Algorithm: x25x pts/pyperformance-1.0.2 json_loads Benchmark: json_loads pts/uvg266-1.0.0 -i Bosphorus_3840x2160.y4m --preset superfast Video Input: Bosphorus 4K - Video Preset: Super Fast pts/pyperformance-1.0.2 django_template Benchmark: django_template pts/pyperformance-1.0.2 pickle_pure_python Benchmark: pickle_pure_python pts/blender-3.4.0 -b ../classroom_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: Classroom - Compute: CPU-Only pts/pyperformance-1.0.2 nbody Benchmark: nbody pts/onednn-3.0.0 --conv --batch=inputs/conv/shapes_auto --cfg=bf16bf16bf16 --engine=cpu Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU pts/minibude-1.0.0 --deck ../data/bm2 --iterations 10 Implementation: OpenMP - Input Deck: BM2 pts/pyperformance-1.0.2 crypto_pyaes Benchmark: crypto_pyaes pts/pyperformance-1.0.2 float Benchmark: float pts/renaissance-1.3.0 naive-bayes Test: Apache Spark Bayes pts/pyperformance-1.0.2 go Benchmark: go pts/pyperformance-1.0.2 chaos Benchmark: chaos pts/liquid-dsp-1.0.0 -n 240 -b 256 -f 57 Threads: 240 - Buffer Length: 256 - Filter Length: 57 pts/liquid-dsp-1.0.0 -n 128 -b 256 -f 57 Threads: 128 - Buffer Length: 256 - Filter Length: 57 pts/svt-av1-2.7.0 --preset 13 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 13 - Input: Bosphorus 4K pts/kvazaar-1.2.0 -i Bosphorus_3840x2160.y4m --preset superfast Video Input: Bosphorus 4K - Video Preset: Super Fast pts/svt-av1-2.7.0 --preset 12 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 12 - Input: Bosphorus 4K pts/pybench-1.1.3 Total For Average Test Times pts/uvg266-1.0.0 -i Bosphorus_3840x2160.y4m --preset medium Video Input: Bosphorus 4K - Video Preset: Medium pts/embree-1.2.1 pathtracer_ispc -c asian_dragon_obj/asian_dragon.ecs Binary: Pathtracer ISPC - Model: Asian Dragon Obj pts/numenta-nab-1.1.1 -d relativeEntropy Detector: Relative Entropy pts/uvg266-1.0.0 -i Bosphorus_3840x2160.y4m --preset veryfast Video Input: Bosphorus 4K - Video Preset: Very Fast pts/oidn-1.4.0 -r RT.hdr_alb_nrm.3840x2160 Run: RT.hdr_alb_nrm.3840x2160 pts/phpbench-1.1.6 PHP Benchmark Suite pts/kvazaar-1.2.0 -i Bosphorus_3840x2160.y4m --preset slow Video Input: Bosphorus 4K - Video Preset: Slow pts/astcenc-1.4.0 -exhaustive -repeats 2 Preset: Exhaustive pts/kvazaar-1.2.0 -i Bosphorus_3840x2160.y4m --preset veryfast Video Input: Bosphorus 4K - Video Preset: Very Fast pts/kvazaar-1.2.0 -i Bosphorus_3840x2160.y4m --preset medium Video Input: Bosphorus 4K - Video Preset: Medium pts/astcenc-1.4.0 -fast -repeats 120 Preset: Fast pts/kvazaar-1.2.0 -i Bosphorus_3840x2160.y4m --preset ultrafast Video Input: Bosphorus 4K - Video Preset: Ultra Fast pts/astcenc-1.4.0 -thorough -repeats 10 Preset: Thorough pts/incompact3d-2.0.2 input_193_nodes.i3d Input: input.i3d 193 Cells Per Direction pts/embree-1.2.1 pathtracer_ispc -c crown/crown.ecs Binary: Pathtracer ISPC - Model: Crown pts/astcenc-1.4.0 -medium -repeats 20 Preset: Medium pts/embree-1.2.1 pathtracer_ispc -c asian_dragon/asian_dragon.ecs Binary: Pathtracer ISPC - Model: Asian Dragon pts/dacapobench-1.0.1 jython Java Test: Jython pts/numenta-nab-1.1.1 -d windowedGaussian Detector: Windowed Gaussian pts/minibude-1.0.0 --deck ../data/bm1 --iterations 500 Implementation: OpenMP - Input Deck: BM1 pts/avifenc-1.3.0 -s 6 Encoder Speed: 6