EPYC 7702 April 2021 Suite
1.0.0
System
Test suite extracted from EPYC 7702 April 2021.
pts/sysbench-1.1.0
cpu run
Test: CPU
pts/aom-av1-2.3.0
--cpu-used=4 Bosphorus_3840x2160.y4m
Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K
pts/aom-av1-2.3.0
--cpu-used=6 --rt Bosphorus_3840x2160.y4m
Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K
pts/aom-av1-2.3.0
--cpu-used=6 Bosphorus_3840x2160.y4m
Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K
pts/aom-av1-2.3.0
--cpu-used=8 --rt Bosphorus_3840x2160.y4m
Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K
pts/aom-av1-2.3.0
--cpu-used=9 --rt Bosphorus_3840x2160.y4m
Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K
pts/aom-av1-2.3.0
--cpu-used=4 Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m
Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p
pts/aom-av1-2.3.0
--cpu-used=6 --rt Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m
Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p
pts/aom-av1-2.3.0
--cpu-used=6 Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m
Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p
pts/aom-av1-2.3.0
--cpu-used=8 --rt Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m
Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p
pts/aom-av1-2.3.0
--cpu-used=9 --rt Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m
Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p
pts/svt-hevc-1.2.0
-encMode 1 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080
Tuning: 1 - Input: Bosphorus 1080p
pts/svt-hevc-1.2.0
-encMode 7 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080
Tuning: 7 - Input: Bosphorus 1080p
pts/svt-hevc-1.2.0
-encMode 10 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080
Tuning: 10 - Input: Bosphorus 1080p
pts/svt-vp9-1.3.0
-tune 2 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080
Tuning: VMAF Optimized - Input: Bosphorus 1080p
pts/svt-vp9-1.3.0
-tune 1 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080
Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p
pts/svt-vp9-1.3.0
-tune 0 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080
Tuning: Visual Quality Optimized - Input: Bosphorus 1080p
pts/simdjson-1.2.0
kostya
Throughput Test: Kostya
pts/simdjson-1.2.0
large_random
Throughput Test: LargeRandom
pts/simdjson-1.2.0
partial_tweets
Throughput Test: PartialTweets
pts/simdjson-1.2.0
distinct_user_id
Throughput Test: DistinctUserID
pts/viennacl-1.1.0
dense_blas-bench-cpu
Test: CPU BLAS - sCOPY
pts/viennacl-1.1.0
dense_blas-bench-cpu
Test: CPU BLAS - sAXPY
pts/viennacl-1.1.0
dense_blas-bench-cpu
Test: CPU BLAS - sDOT
pts/viennacl-1.1.0
dense_blas-bench-cpu
Test: CPU BLAS - dCOPY
pts/viennacl-1.1.0
dense_blas-bench-cpu
Test: CPU BLAS - dAXPY
pts/viennacl-1.1.0
dense_blas-bench-cpu
Test: CPU BLAS - dDOT
pts/viennacl-1.1.0
dense_blas-bench-cpu
Test: CPU BLAS - dGEMV-N
pts/viennacl-1.1.0
dense_blas-bench-cpu
Test: CPU BLAS - dGEMV-T
pts/viennacl-1.1.0
dense_blas-bench-cpu
Test: CPU BLAS - dGEMM-NN
pts/viennacl-1.1.0
dense_blas-bench-cpu
Test: CPU BLAS - dGEMM-NT
pts/viennacl-1.1.0
dense_blas-bench-cpu
Test: CPU BLAS - dGEMM-TN
pts/viennacl-1.1.0
dense_blas-bench-cpu
Test: CPU BLAS - dGEMM-TT
pts/gmpbench-1.3.0
Total Time
pts/compress-zstd-1.3.0
-b3
Compression Level: 3 - Compression Speed
pts/compress-zstd-1.3.0
-b8
Compression Level: 8 - Compression Speed
pts/compress-zstd-1.3.0
-b8
Compression Level: 8 - Decompression Speed
pts/compress-zstd-1.3.0
-b19
Compression Level: 19 - Compression Speed
pts/compress-zstd-1.3.0
-b19
Compression Level: 19 - Decompression Speed
pts/compress-zstd-1.3.0
-b3 --long
Compression Level: 3, Long Mode - Compression Speed
pts/compress-zstd-1.3.0
-b3 --long
Compression Level: 3, Long Mode - Decompression Speed
pts/compress-zstd-1.3.0
-b8 --long
Compression Level: 8, Long Mode - Compression Speed
pts/compress-zstd-1.3.0
-b8 --long
Compression Level: 8, Long Mode - Decompression Speed
pts/compress-zstd-1.3.0
-b19 --long
Compression Level: 19, Long Mode - Compression Speed
pts/compress-zstd-1.3.0
-b19 --long
Compression Level: 19, Long Mode - Decompression Speed
pts/botan-1.6.0
KASUMI
Test: KASUMI
pts/botan-1.6.0
KASUMI
Test: KASUMI - Decrypt
pts/botan-1.6.0
AES-256
Test: AES-256
pts/botan-1.6.0
AES-256
Test: AES-256 - Decrypt
pts/botan-1.6.0
Twofish
Test: Twofish
pts/botan-1.6.0
Twofish
Test: Twofish - Decrypt
pts/botan-1.6.0
Blowfish
Test: Blowfish
pts/botan-1.6.0
Blowfish
Test: Blowfish - Decrypt
pts/botan-1.6.0
CAST-256
Test: CAST-256
pts/botan-1.6.0
CAST-256
Test: CAST-256 - Decrypt
pts/botan-1.6.0
ChaCha20Poly1305
Test: ChaCha20Poly1305
pts/botan-1.6.0
ChaCha20Poly1305
Test: ChaCha20Poly1305 - Decrypt
pts/luaradio-1.0.0
Test: Five Back to Back FIR Filters
pts/luaradio-1.0.0
Test: FM Deemphasis Filter
pts/luaradio-1.0.0
Test: Hilbert Transform
pts/luaradio-1.0.0
Test: Complex Phase
system/gnuradio-1.0.0
Test: Five Back to Back FIR Filters
system/gnuradio-1.0.0
Test: Signal Source (Cosine)
system/gnuradio-1.0.0
Test: FIR Filter
system/gnuradio-1.0.0
Test: IIR Filter
system/gnuradio-1.0.0
Test: FM Deemphasis Filter
system/gnuradio-1.0.0
Test: Hilbert Transform
pts/sysbench-1.1.0
memory run
Test: RAM / Memory
pts/stockfish-1.3.0
Total Time
pts/liquid-dsp-1.0.0
-n 1 -b 256 -f 57
Threads: 1 - Buffer Length: 256 - Filter Length: 57
pts/liquid-dsp-1.0.0
-n 2 -b 256 -f 57
Threads: 2 - Buffer Length: 256 - Filter Length: 57
pts/liquid-dsp-1.0.0
-n 4 -b 256 -f 57
Threads: 4 - Buffer Length: 256 - Filter Length: 57
pts/liquid-dsp-1.0.0
-n 8 -b 256 -f 57
Threads: 8 - Buffer Length: 256 - Filter Length: 57
pts/liquid-dsp-1.0.0
-n 16 -b 256 -f 57
Threads: 16 - Buffer Length: 256 - Filter Length: 57
pts/liquid-dsp-1.0.0
-n 32 -b 256 -f 57
Threads: 32 - Buffer Length: 256 - Filter Length: 57
pts/liquid-dsp-1.0.0
-n 64 -b 256 -f 57
Threads: 64 - 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/toybrot-1.2.0
raymarched/TBB/rmTBB
Implementation: TBB
pts/toybrot-1.2.0
raymarched/OMP/rmOpenMP
Implementation: OpenMP
pts/toybrot-1.2.0
raymarched/STDTASKS/rmSTD_TASKS
Implementation: C++ Tasks
pts/toybrot-1.2.0
raymarched/STDTHREADS/rmSTD_THREADS
Implementation: C++ Threads
pts/onednn-1.7.0
--ip --batch=inputs/ip/shapes_1d --cfg=f32 --engine=cpu
Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU
pts/onednn-1.7.0
--ip --batch=inputs/ip/shapes_3d --cfg=f32 --engine=cpu
Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU
pts/onednn-1.7.0
--ip --batch=inputs/ip/shapes_1d --cfg=u8s8f32 --engine=cpu
Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU
pts/onednn-1.7.0
--ip --batch=inputs/ip/shapes_3d --cfg=u8s8f32 --engine=cpu
Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU
pts/onednn-1.7.0
--conv --batch=inputs/conv/shapes_auto --cfg=f32 --engine=cpu
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
pts/onednn-1.7.0
--deconv --batch=inputs/deconv/shapes_1d --cfg=f32 --engine=cpu
Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU
pts/onednn-1.7.0
--deconv --batch=inputs/deconv/shapes_3d --cfg=f32 --engine=cpu
Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU
pts/onednn-1.7.0
--conv --batch=inputs/conv/shapes_auto --cfg=u8s8f32 --engine=cpu
Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
pts/onednn-1.7.0
--deconv --batch=inputs/deconv/shapes_1d --cfg=u8s8f32 --engine=cpu
Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU
pts/onednn-1.7.0
--deconv --batch=inputs/deconv/shapes_3d --cfg=u8s8f32 --engine=cpu
Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU
pts/onednn-1.7.0
--rnn --batch=inputs/rnn/perf_rnn_training --cfg=f32 --engine=cpu
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
pts/onednn-1.7.0
--rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=f32 --engine=cpu
Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
pts/onednn-1.7.0
--rnn --batch=inputs/rnn/perf_rnn_training --cfg=u8s8f32 --engine=cpu
Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU
pts/onednn-1.7.0
--rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=u8s8f32 --engine=cpu
Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU
pts/onednn-1.7.0
--matmul --batch=inputs/matmul/shapes_transformer --cfg=f32 --engine=cpu
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU
pts/onednn-1.7.0
--rnn --batch=inputs/rnn/perf_rnn_training --cfg=bf16bf16bf16 --engine=cpu
Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU
pts/onednn-1.7.0
--rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=bf16bf16bf16 --engine=cpu
Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU
pts/onednn-1.7.0
--matmul --batch=inputs/matmul/shapes_transformer --cfg=u8s8f32 --engine=cpu
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU
pts/incompact3d-2.0.2
input.i3d
Input: X3D-benchmarking input.i3d
pts/incompact3d-2.0.2
input_129_nodes.i3d
Input: input.i3d 129 Cells Per Direction
pts/incompact3d-2.0.2
input_193_nodes.i3d
Input: input.i3d 193 Cells Per Direction
pts/avifenc-1.1.1
-s 0
Encoder Speed: 0
pts/avifenc-1.1.1
-s 2
Encoder Speed: 2
pts/avifenc-1.1.1
-s 6
Encoder Speed: 6
pts/avifenc-1.1.1
-s 10
Encoder Speed: 10
pts/avifenc-1.1.1
-s 6 -l
Encoder Speed: 6, Lossless
pts/avifenc-1.1.1
-s 10 -l
Encoder Speed: 10, Lossless
pts/build-linux-kernel-1.11.0
Time To Compile
pts/build-mesa-1.0.0
Time To Compile
pts/build-nodejs-1.0.0
Time To Compile
pts/build-erlang-1.1.0
Time To Compile
pts/blender-1.9.0
-b ../bmw27_gpu.blend -o output.test -x 1 -F JPEG -f 1 NONE
Blend File: BMW27 - Compute: CPU-Only
pts/blender-1.9.0
-b ../classroom_gpu.blend -o output.test -x 1 -F JPEG -f 1 NONE
Blend File: Classroom - Compute: CPU-Only
pts/blender-1.9.0
-b ../fishy_cat_gpu.blend -o output.test -x 1 -F JPEG -f 1 NONE
Blend File: Fishy Cat - Compute: CPU-Only
pts/blender-1.9.0
-b ../barbershop_interior_gpu.blend -o output.test -x 1 -F JPEG -f 1 NONE
Blend File: Barbershop - Compute: CPU-Only
pts/blender-1.9.0
-b ../pavillon_barcelone_gpu.blend -o output.test -x 1 -F JPEG -f 1 NONE
Blend File: Pabellon Barcelona - Compute: CPU-Only