epyc-7742-2p-rome-2022 Suite
1.0.0
System
Test suite extracted from epyc-7742-2p-rome-2022 .
pts/graph500-1.0.1
26
Scale: 26
pts/renaissance-1.3.0
als
Test: Apache Spark ALS
pts/renaissance-1.3.0
movie-lens
Test: ALS Movie Lens
pts/webp2-1.1.0
-q 100 -effort 9
Encode Settings: Quality 100, Lossless Compression
pts/renaissance-1.3.0
akka-uct
Test: Akka Unbalanced Cobwebbed Tree
pts/ospray-2.9.0
--benchmark_filter=particle_volume/pathtracer/real_time
Benchmark: particle_volume/pathtracer/real_time
pts/java-jmh-1.0.1
Throughput
pts/webp2-1.1.0
-q 95 -effort 7
Encode Settings: Quality 95, Compression Effort 7
pts/build-gem5-1.0.0
Time To Compile
pts/blender-3.2.0
-b ../barbershop_interior_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU
Blend File: Barbershop - Compute: CPU-Only
pts/qe-1.3.1
ausurf.in
Input: AUSURF112
pts/ospray-studio-1.0.1
--cameras 3 3 --resolution 1920 1080 --spp 32 --renderer pathtracer
Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer
pts/gromacs-1.7.0
mpi-build water-cut1.0_GMX50_bare/1536
Implementation: MPI CPU - Input: water_GMX50_bare
pts/ospray-studio-1.0.1
--cameras 2 2 --resolution 1920 1080 --spp 16 --renderer pathtracer
Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer
pts/ospray-2.9.0
--benchmark_filter=particle_volume/scivis/real_time
Benchmark: particle_volume/scivis/real_time
pts/libgav1-1.2.1
chimera_10b_1080p.ivf
Video Input: Chimera 1080p 10-bit
pts/renaissance-1.3.0
reactors
Test: Savina Reactors.IO
pts/webp2-1.1.0
-q 75 -effort 7
Encode Settings: Quality 75, Compression Effort 7
pts/avifenc-1.2.0
-s 0
Encoder Speed: 0
pts/ospray-2.9.0
--benchmark_filter=gravity_spheres_volume/dim_512/ao/real_time
Benchmark: gravity_spheres_volume/dim_512/ao/real_time
pts/renaissance-1.3.0
future-genetic
Test: Genetic Algorithm Using Jenetics + Futures
pts/ospray-2.9.0
--benchmark_filter=particle_volume/ao/real_time
Benchmark: particle_volume/ao/real_time
pts/ospray-studio-1.0.1
--cameras 3 3 --resolution 1920 1080 --spp 16 --renderer pathtracer
Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer
pts/ospray-studio-1.0.1
--cameras 2 2 --resolution 1920 1080 --spp 32 --renderer pathtracer
Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer
pts/renaissance-1.3.0
finagle-http
Test: Finagle HTTP Requests
pts/ospray-studio-1.0.1
--cameras 1 1 --resolution 1920 1080 --spp 16 --renderer pathtracer
Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer
pts/ospray-studio-1.0.1
--cameras 1 1 --resolution 1920 1080 --spp 32 --renderer pathtracer
Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer
pts/onednn-1.8.0
--rnn --batch=inputs/rnn/perf_rnn_training --cfg=f32 --engine=cpu
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
pts/onednn-1.8.0
--rnn --batch=inputs/rnn/perf_rnn_training --cfg=u8s8f32 --engine=cpu
Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU
pts/renaissance-1.3.0
page-rank
Test: Apache Spark PageRank
pts/avifenc-1.2.0
-s 2
Encoder Speed: 2
pts/aom-av1-3.3.0
--cpu-used=4 Bosphorus_3840x2160.y4m
Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K
pts/renaissance-1.3.0
db-shootout
Test: In-Memory Database Shootout
pts/blender-3.2.0
-b ../pavillon_barcelone_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU
Blend File: Pabellon Barcelona - Compute: CPU-Only
pts/ospray-2.9.0
--benchmark_filter=gravity_spheres_volume/dim_512/scivis/real_time
Benchmark: gravity_spheres_volume/dim_512/scivis/real_time
pts/libgav1-1.2.1
summer_nature_4k.ivf
Video Input: Summer Nature 4K
pts/ospray-studio-1.0.1
--cameras 2 2 --resolution 1920 1080 --spp 1 --renderer pathtracer
Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer
pts/ospray-2.9.0
--benchmark_filter=gravity_spheres_volume/dim_512/pathtracer/real_time
Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time
pts/aom-av1-3.3.0
--cpu-used=0 --limit=20 Bosphorus_3840x2160.y4m
Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K
pts/ospray-studio-1.0.1
--cameras 3 3 --resolution 1920 1080 --spp 1 --renderer pathtracer
Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer
pts/ospray-studio-1.0.1
--cameras 1 1 --resolution 1920 1080 --spp 1 --renderer pathtracer
Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer
pts/libgav1-1.2.1
chimera_8b_1080p.ivf
Video Input: Chimera 1080p
pts/onednn-1.8.0
--rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=u8s8f32 --engine=cpu
Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU
pts/memtier-benchmark-1.1.0
-P redis
Protocol: Redis
pts/aom-av1-3.3.0
--cpu-used=6 --rt Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m
Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p
pts/aom-av1-3.3.0
--cpu-used=4 Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m
Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p
pts/onednn-1.8.0
--rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=f32 --engine=cpu
Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
pts/avifenc-1.2.0
-s 6 -l
Encoder Speed: 6, Lossless
pts/blender-3.2.0
-b ../classroom_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU
Blend File: Classroom - Compute: CPU-Only
pts/aom-av1-3.3.0
--cpu-used=6 Bosphorus_3840x2160.y4m
Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K
pts/nginx-2.0.1
-c 1000
Concurrent Requests: 1000
pts/nginx-2.0.1
-c 500
Concurrent Requests: 500
pts/nginx-2.0.1
-c 1
Concurrent Requests: 1
pts/apache-2.0.1
-c 100
Concurrent Requests: 100
pts/nginx-2.0.1
-c 100
Concurrent Requests: 100
pts/apache-2.0.1
-c 200
Concurrent Requests: 200
pts/apache-2.0.1
-c 20
Concurrent Requests: 20
pts/apache-2.0.1
-c 1
Concurrent Requests: 1
pts/nginx-2.0.1
-c 200
Concurrent Requests: 200
pts/nginx-2.0.1
-c 20
Concurrent Requests: 20
pts/renaissance-1.3.0
dotty
Test: Scala Dotty
pts/aom-av1-3.3.0
--cpu-used=6 --rt Bosphorus_3840x2160.y4m
Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K
pts/avifenc-1.2.0
-s 10 -l
Encoder Speed: 10, Lossless
pts/etcpak-1.1.0
-b --rgba
Benchmark: Single-Threaded - Configuration: ETC2
pts/simdjson-2.0.0
partial_tweets
Throughput Test: PartialTweets
pts/simdjson-2.0.0
distinct_user_id
Throughput Test: DistinctUserID
pts/simdjson-2.0.0
top_tweet
Throughput Test: TopTweet
pts/blender-3.2.0
-b ../fishy_cat_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU
Blend File: Fishy Cat - Compute: CPU-Only
pts/tensorflow-lite-1.1.0
--graph=inception_v4.tflite
Model: Inception V4
pts/tensorflow-lite-1.1.0
--graph=nasnet_mobile.tflite
Model: NASNet Mobile
pts/svt-av1-2.5.0
--preset 4 -n 160 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160
Encoder Mode: Preset 4 - Input: Bosphorus 4K
pts/tensorflow-lite-1.1.0
--graph=inception_resnet_v2.tflite
Model: Inception ResNet V2
pts/rocksdb-1.2.0
--benchmarks="updaterandom"
Test: Update Random
pts/tensorflow-lite-1.1.0
--graph=squeezenet.tflite
Model: SqueezeNet
pts/tensorflow-lite-1.1.0
--graph=mobilenet_v1_1.0_224_quant.tflite
Model: Mobilenet Quant
pts/tensorflow-lite-1.1.0
--graph=mobilenet_v1_1.0_224.tflite
Model: Mobilenet Float
pts/rocksdb-1.2.0
--benchmarks="readrandomwriterandom"
Test: Read Random Write Random
pts/rocksdb-1.2.0
--benchmarks="readwhilewriting"
Test: Read While Writing
pts/rocksdb-1.2.0
--benchmarks="readrandom"
Test: Random Read
pts/renaissance-1.3.0
dec-tree
Test: Random Forest
pts/simdjson-2.0.0
kostya
Throughput Test: Kostya
pts/build-mplayer-1.5.0
Time To Compile
pts/simdjson-2.0.0
large_random
Throughput Test: LargeRandom
pts/aom-av1-3.3.0
--cpu-used=0 --limit=20 Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m
Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p
pts/aom-av1-3.3.0
--cpu-used=6 Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m
Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p
pts/svt-hevc-1.2.1
-encMode 1 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160
Tuning: 1 - Input: Bosphorus 4K
pts/blender-3.2.0
-b ../bmw27_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU
Blend File: BMW27 - Compute: CPU-Only
pts/renaissance-1.3.0
naive-bayes
Test: Apache Spark Bayes
pts/qmcpack-1.5.0
H2O/example_H2O-1-1 simple-H2O.xml
Input: simple-H2O
pts/libgav1-1.2.1
summer_nature_1080p.ivf
Video Input: Summer Nature 1080p
pts/svt-av1-2.5.0
--preset 4 -n 160 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080
Encoder Mode: Preset 4 - Input: Bosphorus 1080p
pts/stress-ng-1.5.1
--numa 0
Test: NUMA
pts/perf-bench-1.0.4
epoll wait -r 30
Benchmark: Epoll Wait
pts/stress-ng-1.5.1
--io-uring 0
Test: IO_uring
pts/stress-ng-1.5.1
--malloc 0
Test: Malloc
pts/stress-ng-1.5.1
--fork 0
Test: Forking
pts/stress-ng-1.5.1
--cpu 0 --cpu-method all
Test: CPU Stress
pts/stress-ng-1.5.1
--memcpy 0
Test: Memory Copying
pts/stress-ng-1.5.1
--qsort 0
Test: Glibc Qsort Data Sorting
pts/stress-ng-1.5.1
--cache 0
Test: CPU Cache
pts/stress-ng-1.5.1
--atomic 0
Test: Atomic
pts/stress-ng-1.5.1
--switch 0
Test: Context Switching
pts/stress-ng-1.5.1
--sendfile 0
Test: SENDFILE
pts/stress-ng-1.5.1
--crypt 0
Test: Crypto
pts/stress-ng-1.5.1
--msg 0
Test: System V Message Passing
pts/stress-ng-1.5.1
--sock 0
Test: Socket Activity
pts/stress-ng-1.5.1
--memfd 0
Test: MEMFD
pts/stress-ng-1.5.1
--futex 0
Test: Futex
pts/stress-ng-1.5.1
--mmap 0
Test: MMAP
pts/stress-ng-1.5.1
--str 0
Test: Glibc C String Functions
pts/stress-ng-1.5.1
--vecmath 0
Test: Vector Math
pts/stress-ng-1.5.1
--matrix 0
Test: Matrix Math
pts/stress-ng-1.5.1
--sem 0
Test: Semaphores
pts/perf-bench-1.0.4
futex lock-pi -r 30 -s
Benchmark: Futex Lock-Pi
pts/perf-bench-1.0.4
futex hash -r 30 -s
Benchmark: Futex Hash
pts/perf-bench-1.0.4
mem memcpy -l 100000 -s 1MB
Benchmark: Memcpy 1MB
pts/perf-bench-1.0.4
sched pipe -l 5000000
Benchmark: Sched Pipe
pts/aom-av1-3.3.0
--cpu-used=8 --rt Bosphorus_3840x2160.y4m
Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K
pts/onednn-1.8.0
--deconv --batch=inputs/deconv/shapes_1d --cfg=f32 --engine=cpu
Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU
pts/onednn-1.8.0
--deconv --batch=inputs/deconv/shapes_1d --cfg=u8s8f32 --engine=cpu
Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU
pts/aom-av1-3.3.0
--cpu-used=9 --rt Bosphorus_3840x2160.y4m
Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K
pts/aom-av1-3.3.0
--cpu-used=10 --rt Bosphorus_3840x2160.y4m
Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K
pts/svt-hevc-1.2.1
-encMode 1 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080
Tuning: 1 - Input: Bosphorus 1080p
pts/onednn-1.8.0
--ip --batch=inputs/ip/shapes_1d --cfg=f32 --engine=cpu
Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU
pts/onednn-1.8.0
--ip --batch=inputs/ip/shapes_1d --cfg=u8s8f32 --engine=cpu
Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU
pts/svt-av1-2.5.0
--preset 8 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160
Encoder Mode: Preset 8 - Input: Bosphorus 4K
pts/avifenc-1.2.0
-s 6
Encoder Speed: 6
pts/compress-pbzip2-1.6.0
FreeBSD-13.0-RELEASE-amd64-memstick.img Compression
pts/onednn-1.8.0
--matmul --batch=inputs/matmul/shapes_transformer --cfg=u8s8f32 --engine=cpu
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU
pts/x264-2.7.0
Bosphorus_3840x2160.y4m
Video Input: Bosphorus 4K
pts/onednn-1.8.0
--matmul --batch=inputs/matmul/shapes_transformer --cfg=f32 --engine=cpu
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU
pts/aom-av1-3.3.0
--cpu-used=8 --rt Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m
Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p
pts/webp2-1.1.0
Encode Settings: Default
pts/onednn-1.8.0
--ip --batch=inputs/ip/shapes_3d --cfg=f32 --engine=cpu
Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU
pts/onednn-1.8.0
--ip --batch=inputs/ip/shapes_3d --cfg=u8s8f32 --engine=cpu
Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU
pts/perf-bench-1.0.4
mem memset -l 100000 -s 1MB
Benchmark: Memset 1MB
pts/webp2-1.1.0
-q 100 -effort 5
Encode Settings: Quality 100, Compression Effort 5
pts/aom-av1-3.3.0
--cpu-used=10 --rt Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m
Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p
pts/aom-av1-3.3.0
--cpu-used=9 --rt Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m
Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p
pts/perf-bench-1.0.4
syscall basic -l 100000000
Benchmark: Syscall Basic
pts/svt-hevc-1.2.1
-encMode 7 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160
Tuning: 7 - Input: Bosphorus 4K
pts/svt-av1-2.5.0
--preset 10 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160
Encoder Mode: Preset 10 - Input: Bosphorus 4K
pts/svt-hevc-1.2.1
-encMode 10 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160
Tuning: 10 - Input: Bosphorus 4K
pts/onednn-1.8.0
--conv --batch=inputs/conv/shapes_auto --cfg=f32 --engine=cpu
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
pts/onednn-1.8.0
--conv --batch=inputs/conv/shapes_auto --cfg=u8s8f32 --engine=cpu
Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
pts/etcpak-1.1.0
-b -M --rgba
Benchmark: Multi-Threaded - Configuration: ETC2
pts/svt-av1-2.5.0
--preset 12 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160
Encoder Mode: Preset 12 - Input: Bosphorus 4K
pts/glibc-bench-1.7.2
bench-exp
Benchmark: exp
pts/svt-av1-2.5.0
--preset 8 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080
Encoder Mode: Preset 8 - Input: Bosphorus 1080p
pts/svt-vp9-1.3.1
-tune 0 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080
Tuning: Visual Quality Optimized - Input: Bosphorus 1080p
pts/x264-2.7.0
Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m
Video Input: Bosphorus 1080p
pts/svt-vp9-1.3.1
-tune 2 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080
Tuning: VMAF Optimized - Input: Bosphorus 1080p
pts/svt-vp9-1.3.1
-tune 1 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080
Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p
pts/svt-vp9-1.3.1
-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/nettle-1.1.0
aes256
Test: aes256
pts/svt-vp9-1.3.1
-tune 0 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160
Tuning: Visual Quality Optimized - Input: Bosphorus 4K
pts/glibc-bench-1.7.2
bench-sin
Benchmark: sin
pts/onednn-1.8.0
--deconv --batch=inputs/deconv/shapes_3d --cfg=u8s8f32 --engine=cpu
Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU
pts/onednn-1.8.0
--deconv --batch=inputs/deconv/shapes_3d --cfg=f32 --engine=cpu
Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU
pts/svt-hevc-1.2.1
-encMode 7 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080
Tuning: 7 - Input: Bosphorus 1080p
pts/svt-av1-2.5.0
--preset 10 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080
Encoder Mode: Preset 10 - Input: Bosphorus 1080p
pts/glibc-bench-1.7.2
bench-cos
Benchmark: cos
pts/glibc-bench-1.7.2
bench-sincos
Benchmark: sincos
pts/nettle-1.1.0
sha512
Test: sha512
pts/glibc-bench-1.7.2
bench-ffs
Benchmark: ffs
pts/svt-hevc-1.2.1
-encMode 10 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080
Tuning: 10 - Input: Bosphorus 1080p
pts/svt-av1-2.5.0
--preset 12 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080
Encoder Mode: Preset 12 - Input: Bosphorus 1080p
pts/nettle-1.1.0
chacha
Test: chacha
pts/glibc-bench-1.7.2
bench-asinh
Benchmark: asinh
pts/glibc-bench-1.7.2
bench-tanh
Benchmark: tanh
pts/glibc-bench-1.7.2
bench-sqrt
Benchmark: sqrt
pts/glibc-bench-1.7.2
bench-sinh
Benchmark: sinh
pts/glibc-bench-1.7.2
bench-pthread_once
Benchmark: pthread_once
pts/glibc-bench-1.7.2
bench-ffsll
Benchmark: ffsll
pts/glibc-bench-1.7.2
bench-atanh
Benchmark: atanh
pts/glibc-bench-1.7.2
bench-modf
Benchmark: modf
pts/glibc-bench-1.7.2
bench-log2
Benchmark: log2
pts/nettle-1.1.0
poly1305-aes
Test: poly1305-aes
pts/stress-ng-1.5.1
--rdrand 0
Test: x86_64 RdRand
pts/onednn-1.8.0
--deconv --batch=inputs/deconv/shapes_3d --cfg=bf16bf16bf16 --engine=cpu
Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU
pts/onednn-1.8.0
--deconv --batch=inputs/deconv/shapes_1d --cfg=bf16bf16bf16 --engine=cpu
Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU
pts/onednn-1.8.0
--conv --batch=inputs/conv/shapes_auto --cfg=bf16bf16bf16 --engine=cpu
Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU
pts/onednn-1.8.0
--ip --batch=inputs/ip/shapes_3d --cfg=bf16bf16bf16 --engine=cpu
Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU
pts/onednn-1.8.0
--ip --batch=inputs/ip/shapes_1d --cfg=bf16bf16bf16 --engine=cpu
Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU