EPYC 7502 AOCC 2.3 Compiler Comparison

AMD EPYC 7502 testing of various benchmarks under AMD AOCC 2.3, GCC 10.2, LLVM Clang 11. CFLAGS/CXXFLAGS of "-O3 -march=znver2" throughout. Benchmarks by Michael Larabel for a future article.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2012080-HA-EPYC7502A97
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AV1 2 Tests
Chess Test Suite 2 Tests
C/C++ Compiler Tests 21 Tests
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CPU Massive 19 Tests
Creator Workloads 17 Tests
Cryptography 2 Tests
Database Test Suite 3 Tests
Encoding 7 Tests
Game Development 2 Tests
HPC - High Performance Computing 6 Tests
Imaging 4 Tests
Common Kernel Benchmarks 3 Tests
Machine Learning 4 Tests
Multi-Core 13 Tests
Programmer / Developer System Benchmarks 2 Tests
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Single-Threaded 6 Tests
Texture Compression 2 Tests
Video Encoding 6 Tests

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GCC 10.2
December 07 2020
  3 Hours, 49 Minutes
LLVM Clang 11
December 08 2020
  6 Hours, 56 Minutes
AMD AOCC 2.3
December 07 2020
  3 Hours, 58 Minutes
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  4 Hours, 54 Minutes

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EPYC 7502 AOCC 2.3 Compiler Comparison Suite 1.0.0 System Test suite extracted from EPYC 7502 AOCC 2.3 Compiler Comparison. pts/basis-1.0.2 -uastc -uastc_level 2 -uastc_rdo_q .75 Settings: UASTC Level 2 + RDO Post-Processing pts/daphne-1.0.0 OpenMP points2image Backend: OpenMP - Kernel: Points2Image pts/hint-1.0.3 FLOAT Test: FLOAT pts/nginx-1.2.2 Static Web Page Serving pts/svt-av1-2.2.1 -enc-mode 0 -n 20 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Enc Mode 0 - Input: 1080p pts/ncnn-1.0.3 -1 Target: CPU - Model: yolov4-tiny pts/ncnn-1.0.3 -1 Target: CPU - Model: resnet50 pts/ncnn-1.0.3 -1 Target: CPU - Model: alexnet pts/ncnn-1.0.3 -1 Target: CPU - Model: resnet18 pts/ncnn-1.0.3 -1 Target: CPU - Model: vgg16 pts/ncnn-1.0.3 -1 Target: CPU - Model: googlenet pts/ncnn-1.0.3 -1 Target: CPU - Model: blazeface pts/ncnn-1.0.3 -1 Target: CPU - Model: efficientnet-b0 pts/ncnn-1.0.3 -1 Target: CPU - Model: mnasnet pts/ncnn-1.0.3 -1 Target: CPU - Model: shufflenet-v2 pts/ncnn-1.0.3 -1 Target: CPU-v3-v3 - Model: mobilenet-v3 pts/ncnn-1.0.3 -1 Target: CPU-v2-v2 - Model: mobilenet-v2 pts/ncnn-1.0.3 -1 Target: CPU - Model: mobilenet pts/ncnn-1.0.3 -1 Target: CPU - Model: squeezenet pts/dav1d-1.6.0 -i chimera_10b_1080p.ivf Video Input: Chimera 1080p 10-bit pts/vpxenc-3.0.0 --cpu-used=0 Speed: Speed 0 pts/mrbayes-1.4.0 Primate Phylogeny Analysis pts/onednn-1.5.0 --rnn --batch=inputs/rnn/rnn_inference --cfg=f32 --engine=cpu Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU pts/sqlite-speedtest-1.0.0 Timed Time - Size 1,000 pts/astcenc-1.0.2 -exhaustive Preset: Exhaustive pts/cryptopp-1.0.1 b1 Test: Unkeyed Algorithms pts/compress-lz4-1.0.0 -b9 -e9 Compression Level: 9 - Compression Speed pts/compress-lz4-1.0.0 -b3 -e3 Compression Level: 3 - Compression Speed pts/graphics-magick-2.0.1 -resize 50% Operation: Resizing pts/graphics-magick-2.0.1 -sharpen 0x2.0 Operation: Sharpen pts/graphics-magick-2.0.1 -rotate 90 Operation: Rotate pts/graphics-magick-2.0.1 -enhance Operation: Enhanced pts/graphics-magick-2.0.1 -swirl 90 Operation: Swirl pts/onednn-1.5.0 --ip --batch=inputs/ip/ip_all --cfg=u8s8f32 --engine=cpu Harness: IP Batch All - Data Type: u8s8f32 - Engine: CPU pts/redis-1.3.0 -t set Test: SET pts/webp-1.0.0 -q 100 -lossless -m 6 Encode Settings: Quality 100, Lossless, Highest Compression pts/stockfish-1.2.0 Total Time pts/redis-1.3.0 -t lpush Test: LPUSH pts/redis-1.3.0 -t get Test: GET pts/aobench-1.0.1 Size: 2048 x 2048 - Total Time pts/onednn-1.5.0 --rnn --batch=inputs/rnn/rnn_training --cfg=f32 --engine=cpu Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU pts/compress-zstd-1.2.1 -b19 Compression Level: 19 pts/daphne-1.0.0 OpenMP ndt_mapping Backend: OpenMP - Kernel: NDT Mapping pts/compress-lz4-1.0.0 -b1 -e1 Compression Level: 1 - Compression Speed pts/vpxenc-3.0.0 --cpu-used=5 Speed: Speed 5 pts/pgbench-1.10.1 -s 1 -c 1 Scaling Factor: 1 - Clients: 1 - Mode: Read Write - Average Latency pts/pgbench-1.10.1 -s 1 -c 1 Scaling Factor: 1 - Clients: 1 - Mode: Read Write pts/scimark2-1.3.2 TEST_COMPOSITE Computational Test: Composite pts/compress-zstd-1.2.1 -b3 Compression Level: 3 pts/daphne-1.0.0 OpenMP euclidean_cluster Backend: OpenMP - Kernel: Euclidean Cluster pts/libraw-1.0.0 Post-Processing Benchmark pts/c-ray-1.2.0 Total Time - 4K, 16 Rays Per Pixel pts/x265-1.3.0 Bosphorus_3840x2160.y4m Video Input: Bosphorus 4K pts/basis-1.0.2 -uastc -uastc_level 3 Settings: UASTC Level 3 pts/pgbench-1.10.1 -s 1 -c 50 Scaling Factor: 1 - Clients: 50 - Mode: Read Write - Average Latency pts/pgbench-1.10.1 -s 1 -c 50 Scaling Factor: 1 - Clients: 50 - Mode: Read Write pts/pgbench-1.10.1 -s 1 -c 50 -S Scaling Factor: 1 - Clients: 50 - Mode: Read Only - Average Latency pts/pgbench-1.10.1 -s 1 -c 50 -S Scaling Factor: 1 - Clients: 50 - Mode: Read Only pts/pgbench-1.10.1 -s 1 -c 1 -S Scaling Factor: 1 - Clients: 1 - Mode: Read Only - Average Latency pts/pgbench-1.10.1 -s 1 -c 1 -S Scaling Factor: 1 - Clients: 1 - Mode: Read Only pts/tnn-1.0.0 -dt NAIVE -mp ../benchmark/benchmark-model/mobilenet_v2.tnnproto Target: CPU - Model: MobileNet v2 pts/tnn-1.0.0 -dt NAIVE -mp ../benchmark/benchmark-model/squeezenet_v1.1.tnnproto Target: CPU - Model: SqueezeNet v1.1 pts/rnnoise-1.0.2 pts/onednn-1.5.0 --deconv --batch=inputs/deconv/deconv_1d --cfg=u8s8f32 --engine=cpu Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 - Engine: CPU pts/onednn-1.5.0 --deconv --batch=inputs/deconv/deconv_1d --cfg=f32 --engine=cpu Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPU pts/webp-1.0.0 -q 100 -lossless Encode Settings: Quality 100, Lossless pts/dav1d-1.6.0 -i chimera_8b_1080p.ivf Video Input: Chimera 1080p pts/openssl-1.11.0 RSA 4096-bit Performance pts/basis-1.0.2 -uastc -uastc_level 2 Settings: UASTC Level 2 pts/onednn-1.5.0 --ip --batch=inputs/ip/ip_1d --cfg=f32 --engine=cpu Harness: IP Batch 1D - Data Type: f32 - Engine: CPU pts/onednn-1.5.0 --ip --batch=inputs/ip/ip_1d --cfg=u8s8f32 --engine=cpu Harness: IP Batch 1D - Data Type: u8s8f32 - Engine: CPU pts/astcenc-1.0.2 -thorough Preset: Thorough pts/dav1d-1.6.0 -i summer_nature_4k.ivf Video Input: Summer Nature 4K pts/svt-av1-2.2.1 -enc-mode 4 -n 80 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Enc Mode 4 - Input: 1080p pts/onednn-1.5.0 --matmul --batch=inputs/matmul/shapes_transformer --cfg=f32 --engine=cpu Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU pts/x265-1.3.0 Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m Video Input: Bosphorus 1080p pts/encode-mp3-1.7.4 WAV To MP3 pts/webp-1.0.0 -q 100 -m 6 Encode Settings: Quality 100, Highest Compression pts/svt-av1-2.2.1 -enc-mode 8 -n 320 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Enc Mode 8 - Input: 1080p pts/astcenc-1.0.2 -medium Preset: Medium pts/tjbench-1.1.1 decompression-throughput Test: Decompression Throughput pts/dav1d-1.6.0 -i summer_nature_1080p.ivf Video Input: Summer Nature 1080p pts/x264-2.6.1 H.264 Video Encoding pts/onednn-1.5.0 --deconv --batch=inputs/deconv/deconv_3d --cfg=u8s8f32 --engine=cpu Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 - Engine: CPU pts/onednn-1.5.0 --deconv --batch=inputs/deconv/deconv_3d --cfg=f32 --engine=cpu Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPU pts/svt-vp9-1.2.2 -tune 0 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Tuning: Visual Quality Optimized - Input: Bosphorus 1080p pts/tscp-1.2.2 AI Chess Performance pts/svt-vp9-1.2.2 -tune 1 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p pts/svt-vp9-1.2.2 -tune 2 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Tuning: VMAF Optimized - Input: Bosphorus 1080p