AOCC 4.0 AMD EPYC 9374F 2P Compiler Benchmarks

Tests for a future article by Michael Larabel.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2212135-NE-AOCC40AMD35
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AV1 3 Tests
BLAS (Basic Linear Algebra Sub-Routine) Tests 2 Tests
C/C++ Compiler Tests 10 Tests
CPU Massive 10 Tests
Creator Workloads 13 Tests
Cryptography 3 Tests
Encoding 8 Tests
HPC - High Performance Computing 7 Tests
Imaging 4 Tests
Machine Learning 3 Tests
MPI Benchmarks 2 Tests
Multi-Core 11 Tests
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Programmer / Developer System Benchmarks 2 Tests
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Scientific Computing 3 Tests
Software Defined Radio 2 Tests
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Server CPU Tests 6 Tests
Video Encoding 7 Tests

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AOCC 4.0
December 12 2022
  4 Hours, 11 Minutes
GCC 12.2
December 13 2022
  4 Hours, 18 Minutes
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  4 Hours, 14 Minutes
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AOCC 4.0 AMD EPYC 9374F 2P Compiler Benchmarks Suite 1.0.0 System Test suite extracted from AOCC 4.0 AMD EPYC 9374F 2P Compiler Benchmarks. pts/onednn-2.7.0 --ip --batch=inputs/ip/shapes_1d --cfg=bf16bf16bf16 --engine=cpu Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU pts/onednn-2.7.0 --ip --batch=inputs/ip/shapes_3d --cfg=bf16bf16bf16 --engine=cpu Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU pts/onednn-2.7.0 --rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=bf16bf16bf16 --engine=cpu Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU pts/onednn-2.7.0 --matmul --batch=inputs/matmul/shapes_transformer --cfg=bf16bf16bf16 --engine=cpu Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU pts/onednn-2.7.0 --rnn --batch=inputs/rnn/perf_rnn_training --cfg=bf16bf16bf16 --engine=cpu Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU pts/tnn-1.1.0 -dt NAIVE -mp ../benchmark/benchmark-model/mobilenet_v2.tnnproto Target: CPU - Model: MobileNet v2 pts/lczero-1.6.0 -b eigen Backend: Eigen pts/webp-1.2.0 -q 100 -m 6 Encode Settings: Quality 100, Highest Compression pts/svt-vp9-1.3.1 -tune 0 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Tuning: Visual Quality Optimized - Input: Bosphorus 4K pts/graphics-magick-2.1.0 -sharpen 0x2.0 Operation: Sharpen pts/tnn-1.1.0 -dt NAIVE -mp ../benchmark/benchmark-model/squeezenet_v1.1.tnnproto Target: CPU - Model: SqueezeNet v1.1 pts/svt-hevc-1.2.1 -encMode 10 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Tuning: 10 - Input: Bosphorus 4K pts/onednn-2.7.0 --conv --batch=inputs/conv/shapes_auto --cfg=bf16bf16bf16 --engine=cpu Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU pts/svt-hevc-1.2.1 -encMode 7 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Tuning: 7 - Input: Bosphorus 4K pts/cryptopp-1.0.1 b1 Test: Unkeyed Algorithms pts/simdjson-2.0.1 distinct_user_id Throughput Test: DistinctUserID pts/onednn-2.7.0 --deconv --batch=inputs/deconv/shapes_1d --cfg=bf16bf16bf16 --engine=cpu Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU pts/svt-av1-2.7.0 --preset 13 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 13 - Input: Bosphorus 4K pts/simdjson-2.0.1 partial_tweets Throughput Test: PartialTweets pts/astcenc-1.4.0 -medium -repeats 20 Preset: Medium pts/simdjson-2.0.1 top_tweet Throughput Test: TopTweet pts/svt-vp9-1.3.1 -tune 1 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Tuning: PSNR/SSIM Optimized - Input: Bosphorus 4K pts/svt-vp9-1.3.1 -tune 2 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Tuning: VMAF Optimized - Input: Bosphorus 4K pts/stargate-1.1.0 96000 512 Sample Rate: 96000 - Buffer Size: 512 pts/jpegxl-decode-1.5.0 --num_threads=1 --num_reps=100 CPU Threads: 1 pts/kripke-1.1.0 pts/stargate-1.1.0 96000 1024 Sample Rate: 96000 - Buffer Size: 1024 pts/avifenc-1.3.0 -s 6 -l Encoder Speed: 6, Lossless pts/securemark-1.0.0 Benchmark: SecureMark-TLS pts/stargate-1.1.0 192000 512 Sample Rate: 192000 - Buffer Size: 512 pts/onednn-2.7.0 --deconv --batch=inputs/deconv/shapes_3d --cfg=bf16bf16bf16 --engine=cpu Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU pts/liquid-dsp-1.0.0 -n 32 -b 256 -f 57 Threads: 32 - Buffer Length: 256 - Filter Length: 57 pts/avifenc-1.3.0 -s 0 Encoder Speed: 0 pts/liquid-dsp-1.0.0 -n 128 -b 256 -f 57 Threads: 128 - Buffer Length: 256 - Filter Length: 57 pts/avifenc-1.3.0 -s 2 Encoder Speed: 2 pts/gpaw-1.1.0 carbon-nanotube Input: Carbon Nanotube pts/lczero-1.6.0 -b blas Backend: BLAS pts/kvazaar-1.1.1 -i Bosphorus_3840x2160.y4m --preset veryfast Video Input: Bosphorus 4K - Video Preset: Very Fast pts/avifenc-1.3.0 -s 6 Encoder Speed: 6 pts/jpegxl-decode-1.5.0 --num_reps=200 CPU Threads: All pts/stargate-1.1.0 192000 1024 Sample Rate: 192000 - Buffer Size: 1024 pts/kvazaar-1.1.1 -i Bosphorus_3840x2160.y4m --preset medium Video Input: Bosphorus 4K - Video Preset: Medium pts/liquid-dsp-1.0.0 -n 64 -b 256 -f 57 Threads: 64 - Buffer Length: 256 - Filter Length: 57 pts/avifenc-1.3.0 -s 10 -l Encoder Speed: 10, Lossless pts/svt-av1-2.7.0 --preset 8 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 8 - Input: Bosphorus 4K pts/tnn-1.1.0 -dt NAIVE -mp ../benchmark/benchmark-model/shufflenet_v2.tnnproto Target: CPU - Model: SqueezeNet v2 pts/webp-1.2.0 Encode Settings: Default pts/compress-zstd-1.5.0 -b8 Compression Level: 8 - Decompression Speed pts/graphics-magick-2.1.0 -rotate 90 Operation: Rotate pts/lammps-1.4.0 benchmark_20k_atoms.in Model: 20k Atoms pts/compress-zstd-1.5.0 -b19 Compression Level: 19 - Compression Speed pts/openssl-3.0.1 sha256 Algorithm: SHA256 pts/aom-av1-3.5.0 --cpu-used=9 --rt Bosphorus_3840x2160.y4m Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K pts/vpxenc-3.1.0 --cpu-used=5 ~/Bosphorus_3840x2160.y4m --width=3840 --height=2160 Speed: Speed 5 - Input: Bosphorus 4K pts/cryptopp-1.0.1 b2 Test: Keyed Algorithms pts/minibude-1.0.0 --deck ../data/bm2 --iterations 10 Implementation: OpenMP - Input Deck: BM2 pts/compress-zstd-1.5.0 -b19 Compression Level: 19 - Decompression Speed pts/srsran-1.2.0 lib/src/phy/dft/test/ofdm_test -N 2048 -n 100 -r 500000 Test: OFDM_Test pts/astcenc-1.4.0 -thorough -repeats 10 Preset: Thorough pts/compress-zstd-1.5.0 -b8 Compression Level: 8 - Compression Speed pts/vpxenc-3.1.0 --cpu-used=0 ~/Bosphorus_3840x2160.y4m --width=3840 --height=2160 Speed: Speed 0 - Input: Bosphorus 4K pts/graphics-magick-2.1.0 -enhance Operation: Enhanced pts/srsran-1.2.0 lib/test/phy/phy_dl_test -p 100 -s 20000 -m 28 -t 4 Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM pts/kvazaar-1.1.1 -i Bosphorus_3840x2160.y4m --preset ultrafast Video Input: Bosphorus 4K - Video Preset: Ultra Fast pts/openssl-3.0.1 rsa4096 Algorithm: RSA4096 pts/aom-av1-3.5.0 --cpu-used=6 Bosphorus_3840x2160.y4m Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K