xeon eo march

2 x Intel Xeon Platinum 8380 testing with a Intel M50CYP2SB2U (SE5C6200.86B.0022.D08.2103221623 BIOS) and ASPEED on Ubuntu 22.10 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 2304015-NE-XEONEOMAR92
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AV1 3 Tests
Timed Code Compilation 5 Tests
C/C++ Compiler Tests 12 Tests
CPU Massive 14 Tests
Creator Workloads 11 Tests
Cryptography 2 Tests
Database Test Suite 3 Tests
Encoding 6 Tests
Game Development 3 Tests
HPC - High Performance Computing 6 Tests
Common Kernel Benchmarks 4 Tests
Machine Learning 4 Tests
Multi-Core 18 Tests
NVIDIA GPU Compute 2 Tests
Intel oneAPI 2 Tests
OpenMPI Tests 2 Tests
Programmer / Developer System Benchmarks 6 Tests
Python Tests 6 Tests
Server 6 Tests
Server CPU Tests 10 Tests
Video Encoding 6 Tests

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March 31 2023
  8 Hours, 52 Minutes
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March 31 2023
  7 Hours, 24 Minutes
c
April 01 2023
  6 Hours, 16 Minutes
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xeon eo march Suite 1.0.0 System Test suite extracted from xeon eo march. pts/john-the-ripper-1.8.0 --format=HMAC-SHA512 Test: HMAC-SHA512 pts/stress-ng-1.8.0 --msg -1 --no-rand-seed Test: System V Message Passing pts/john-the-ripper-1.8.0 --format=md5crypt Test: MD5 pts/stress-ng-1.8.0 --atomic -1 --no-rand-seed Test: Atomic pts/john-the-ripper-1.8.0 --format=bcrypt Test: Blowfish pts/john-the-ripper-1.8.0 --format=wpapsk Test: WPA PSK pts/stress-ng-1.8.0 --sock -1 --no-rand-seed --sock-zerocopy Test: Socket Activity pts/john-the-ripper-1.8.0 --format=bcrypt Test: bcrypt pts/compress-zstd-1.6.0 -b8 Compression Level: 8 - Decompression Speed pts/opencv-1.3.0 features2d Test: Features 2D pts/stress-ng-1.8.0 --memfd -1 --no-rand-seed Test: MEMFD pts/memcached-1.2.0 --ratio=1:100 Set To Get Ratio: 1:100 pts/memcached-1.2.0 --ratio=1:10 Set To Get Ratio: 1:10 pts/opencv-1.3.0 imgproc Test: Image Processing pts/compress-zstd-1.6.0 -b3 --long Compression Level: 3, Long Mode - Compression Speed pts/onnx-1.6.0 FasterRCNN-12-int8/FasterRCNN-12-int8.onnx -e cpu Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard pts/memcached-1.2.0 --ratio=1:5 Set To Get Ratio: 1:5 pts/stress-ng-1.8.0 --cache -1 --no-rand-seed Test: CPU Cache pts/stress-ng-1.8.0 --zlib -1 --no-rand-seed Test: Zlib pts/daphne-1.1.0 OpenMP ndt_mapping Backend: OpenMP - Kernel: NDT Mapping pts/opencv-1.3.0 objdetect Test: Object Detection pts/onednn-3.1.0 --deconv --batch=inputs/deconv/shapes_3d --cfg=bf16bf16bf16 --engine=cpu Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU pts/compress-zstd-1.6.0 -b19 --long Compression Level: 19, Long Mode - Compression Speed pts/daphne-1.1.0 OpenMP points2image Backend: OpenMP - Kernel: Points2Image pts/opencv-1.3.0 gapi Test: Graph API pts/compress-zstd-1.6.0 -b12 Compression Level: 12 - Compression Speed pts/stress-ng-1.8.0 --futex -1 --no-rand-seed Test: Futex pts/onnx-1.6.0 resnet100/resnet100.onnx -e cpu Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard pts/opencv-1.3.0 video Test: Video pts/apache-3.0.0 -c 200 Concurrent Requests: 200 pts/compress-zstd-1.6.0 -b3 Compression Level: 3 - Compression Speed pts/rocksdb-1.5.0 --benchmarks="readwhilewriting" Test: Read While Writing pts/onednn-3.1.0 --deconv --batch=inputs/deconv/shapes_3d --cfg=u8s8f32 --engine=cpu Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU pts/onednn-3.1.0 --rnn --batch=inputs/rnn/perf_rnn_training --cfg=u8s8f32 --engine=cpu Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU pts/opencv-1.3.0 dnn Test: DNN - Deep Neural Network pts/daphne-1.1.0 OpenMP euclidean_cluster Backend: OpenMP - Kernel: Euclidean Cluster pts/opencv-1.3.0 core Test: Core pts/onnx-1.6.0 fcn-resnet101-11/model.onnx -e cpu -P Model: fcn-resnet101-11 - Device: CPU - Executor: Parallel pts/compress-zstd-1.6.0 -b8 --long Compression Level: 8, Long Mode - Compression Speed pts/compress-zstd-1.6.0 -b8 Compression Level: 8 - Compression Speed pts/onednn-3.1.0 --rnn --batch=inputs/rnn/perf_rnn_training --cfg=bf16bf16bf16 --engine=cpu Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU pts/onednn-3.1.0 --deconv --batch=inputs/deconv/shapes_3d --cfg=f32 --engine=cpu Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU pts/aom-av1-3.6.0 --cpu-used=9 --rt Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p pts/tensorflow-2.1.0 --device cpu --batch_size=16 --model=alexnet Device: CPU - Batch Size: 16 - Model: AlexNet pts/aom-av1-3.6.0 --cpu-used=6 --rt Bosphorus_3840x2160.y4m Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K pts/aom-av1-3.6.0 --cpu-used=6 Bosphorus_3840x2160.y4m Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K pts/openssl-3.1.0 sha256 Algorithm: SHA256 pts/onnx-1.6.0 super_resolution/super_resolution.onnx -e cpu -P Model: super-resolution-10 - Device: CPU - Executor: Parallel pts/onnx-1.6.0 yolov4/yolov4.onnx -e cpu Model: yolov4 - Device: CPU - Executor: Standard pts/stress-ng-1.8.0 --funccall -1 --no-rand-seed Test: Function Call pts/rocksdb-1.5.0 --benchmarks="readrandomwriterandom" Test: Read Random Write Random pts/specfem3d-1.0.0 tomographic_model Model: Tomographic Model pts/aom-av1-3.6.0 --cpu-used=10 --rt Bosphorus_3840x2160.y4m Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K pts/opencv-1.3.0 stitching Test: Stitching pts/onednn-3.1.0 --rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=u8s8f32 --engine=cpu Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU pts/stress-ng-1.8.0 --str -1 --no-rand-seed Test: Glibc C String Functions pts/tensorflow-2.1.0 --device cpu --batch_size=64 --model=alexnet Device: CPU - Batch Size: 64 - Model: AlexNet pts/aom-av1-3.6.0 --cpu-used=9 --rt Bosphorus_3840x2160.y4m Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K pts/specfem3d-1.0.0 waterlayered_halfspace Model: Water-layered Halfspace pts/vpxenc-3.2.0 --cpu-used=5 ~/Bosphorus_3840x2160.y4m --width=3840 --height=2160 Speed: Speed 5 - Input: Bosphorus 4K pts/stress-ng-1.8.0 --cpu -1 --cpu-method all --no-rand-seed Test: CPU Stress pts/stress-ng-1.8.0 --sem -1 --no-rand-seed Test: Semaphores pts/aom-av1-3.6.0 --cpu-used=6 Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p pts/stress-ng-1.8.0 --pthread -1 --no-rand-seed Test: Pthread pts/aom-av1-3.6.0 --cpu-used=10 --rt Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p pts/onnx-1.6.0 bertsquad-12/bertsquad-12.onnx -e cpu -P Model: bertsquad-12 - Device: CPU - Executor: Parallel pts/aom-av1-3.6.0 --cpu-used=6 --rt Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p pts/aom-av1-3.6.0 --cpu-used=0 --limit=20 Bosphorus_3840x2160.y4m Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K pts/compress-zstd-1.6.0 -b8 --long Compression Level: 8, Long Mode - Decompression Speed pts/ffmpeg-6.0.0 --encoder=libx264 vod Encoder: libx264 - Scenario: Video On Demand pts/onednn-3.1.0 --conv --batch=inputs/conv/shapes_auto --cfg=bf16bf16bf16 --engine=cpu Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU pts/vvenc-1.1.0 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset faster Video Input: Bosphorus 1080p - Video Preset: Faster pts/onnx-1.6.0 caffenet-12-int8/caffenet-12-int8.onnx -e cpu -P Model: CaffeNet 12-int8 - Device: CPU - Executor: Parallel pts/svt-av1-2.7.2 --preset 12 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 12 - Input: Bosphorus 4K pts/build2-1.2.0 Time To Compile pts/stress-ng-1.8.0 --crypt -1 --no-rand-seed Test: Crypto pts/build-nodejs-1.3.0 Time To Compile pts/ffmpeg-6.0.0 --encoder=libx265 live Encoder: libx265 - Scenario: Live pts/onnx-1.6.0 resnet100/resnet100.onnx -e cpu -P Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel pts/svt-av1-2.7.2 --preset 8 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 8 - Input: Bosphorus 4K pts/ffmpeg-6.0.0 --encoder=libx264 live Encoder: libx264 - Scenario: Live pts/onnx-1.6.0 bertsquad-12/bertsquad-12.onnx -e cpu Model: bertsquad-12 - Device: CPU - Executor: Standard pts/vvenc-1.1.0 -i Bosphorus_3840x2160.y4m --preset fast Video Input: Bosphorus 4K - Video Preset: Fast pts/compress-zstd-1.6.0 -b12 Compression Level: 12 - Decompression Speed pts/tensorflow-2.1.0 --device cpu --batch_size=32 --model=alexnet Device: CPU - Batch Size: 32 - Model: AlexNet pts/compress-zstd-1.6.0 -b19 Compression Level: 19 - Compression Speed pts/specfem3d-1.0.0 Mount_StHelens Model: Mount St. Helens pts/svt-av1-2.7.2 --preset 4 -n 160 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 4 - Input: Bosphorus 4K pts/onnx-1.6.0 GPT2/model.onnx -e cpu Model: GPT-2 - Device: CPU - Executor: Standard pts/stress-ng-1.8.0 --hash -1 --no-rand-seed Test: Hash pts/vpxenc-3.2.0 --cpu-used=5 ~/Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv --width=1920 --height=1080 Speed: Speed 5 - Input: Bosphorus 1080p pts/stress-ng-1.8.0 --sendfile -1 --no-rand-seed Test: SENDFILE pts/compress-zstd-1.6.0 -b19 Compression Level: 19 - Decompression Speed pts/rocksdb-1.5.0 --benchmarks="readrandom" Test: Random Read pts/openssl-3.1.0 sha512 Algorithm: SHA512 pts/onednn-3.1.0 --rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=bf16bf16bf16 --engine=cpu Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU pts/rocksdb-1.5.0 --benchmarks="fillsync" Test: Random Fill Sync pts/onnx-1.6.0 GPT2/model.onnx -e cpu -P Model: GPT-2 - Device: CPU - Executor: Parallel pts/onednn-3.1.0 --deconv --batch=inputs/deconv/shapes_1d --cfg=u8s8f32 --engine=cpu Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU pts/stress-ng-1.8.0 --matrix -1 --no-rand-seed Test: Matrix Math pts/ffmpeg-6.0.0 --encoder=libx264 platform Encoder: libx264 - Scenario: Platform pts/ffmpeg-6.0.0 --encoder=libx264 upload Encoder: libx264 - Scenario: Upload pts/aom-av1-3.6.0 --cpu-used=4 Bosphorus_3840x2160.y4m Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K pts/onnx-1.6.0 resnet50-v1-12-int8/resnet50-v1-12-int8.onnx -e cpu Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard pts/build-godot-4.0.0 Time To Compile pts/onnx-1.6.0 FasterRCNN-12-int8/FasterRCNN-12-int8.onnx -e cpu -P Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Parallel pts/compress-zstd-1.6.0 -b3 --long Compression Level: 3, Long Mode - Decompression Speed pts/tensorflow-2.1.0 --device cpu --batch_size=16 --model=googlenet Device: CPU - Batch Size: 16 - Model: GoogLeNet pts/onnx-1.6.0 resnet50-v1-12-int8/resnet50-v1-12-int8.onnx -e cpu -P Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Parallel pts/vvenc-1.1.0 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset fast Video Input: Bosphorus 1080p - Video Preset: Fast pts/tensorflow-2.1.0 --device cpu --batch_size=16 --model=resnet50 Device: CPU - Batch Size: 16 - Model: ResNet-50 pts/nginx-3.0.1 -c 500 Connections: 500 pts/dav1d-1.13.0 -i summer_nature_4k.ivf Video Input: Summer Nature 4K pts/specfem3d-1.0.0 homogeneous_halfspace Model: Homogeneous Halfspace pts/aom-av1-3.6.0 --cpu-used=8 --rt Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p pts/onnx-1.6.0 yolov4/yolov4.onnx -e cpu -P Model: yolov4 - Device: CPU - Executor: Parallel pts/embree-1.4.0 pathtracer_ispc -c asian_dragon/asian_dragon.ecs Binary: Pathtracer ISPC - Model: Asian Dragon pts/compress-zstd-1.6.0 -b19 --long Compression Level: 19, Long Mode - Decompression Speed pts/dav1d-1.13.0 -i chimera_8b_1080p.ivf Video Input: Chimera 1080p pts/vpxenc-3.2.0 --cpu-used=0 ~/Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv --width=1920 --height=1080 Speed: Speed 0 - Input: Bosphorus 1080p pts/tensorflow-2.1.0 --device cpu --batch_size=32 --model=googlenet Device: CPU - Batch Size: 32 - Model: GoogLeNet pts/stress-ng-1.8.0 --fork -1 --no-rand-seed Test: Forking pts/stress-ng-1.8.0 --numa -1 --no-rand-seed Test: NUMA pts/onednn-3.1.0 --rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=f32 --engine=cpu Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU pts/tensorflow-2.1.0 --device cpu --batch_size=512 --model=alexnet Device: CPU - Batch Size: 512 - Model: AlexNet pts/onnx-1.6.0 fcn-resnet101-11/model.onnx -e cpu Model: fcn-resnet101-11 - Device: CPU - Executor: Standard pts/onnx-1.6.0 caffenet-12-int8/caffenet-12-int8.onnx -e cpu Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard pts/ffmpeg-6.0.0 --encoder=libx265 upload Encoder: libx265 - Scenario: Upload pts/tensorflow-2.1.0 --device cpu --batch_size=256 --model=resnet50 Device: CPU - Batch Size: 256 - Model: ResNet-50 pts/stress-ng-1.8.0 --mmap -1 --no-rand-seed Test: MMAP pts/onednn-3.1.0 --conv --batch=inputs/conv/shapes_auto --cfg=f32 --engine=cpu Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU pts/apache-3.0.0 -c 500 Concurrent Requests: 500 pts/dav1d-1.13.0 -i summer_nature_1080p.ivf Video Input: Summer Nature 1080p pts/aom-av1-3.6.0 --cpu-used=8 --rt Bosphorus_3840x2160.y4m Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K pts/draco-1.6.0 -i church.ply Model: Church Facade pts/build-llvm-1.5.0 Build System: Unix Makefiles pts/onednn-3.1.0 --conv --batch=inputs/conv/shapes_auto --cfg=u8s8f32 --engine=cpu Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU pts/blender-3.5.0 -b ../bmw27_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: BMW27 - Compute: CPU-Only pts/mysqlslap-1.4.0 --concurrency=1024 Clients: 1024 pts/mysqlslap-1.4.0 --concurrency=2048 Clients: 2048 pts/openssl-3.1.0 -evp aes-128-gcm Algorithm: AES-128-GCM pts/mysqlslap-1.4.0 --concurrency=4096 Clients: 4096 pts/embree-1.4.0 pathtracer -c crown/crown.ecs Binary: Pathtracer - Model: Crown pts/embree-1.4.0 pathtracer_ispc -c crown/crown.ecs Binary: Pathtracer ISPC - Model: Crown pts/aom-av1-3.6.0 --cpu-used=4 Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p pts/nginx-3.0.1 -c 200 Connections: 200 pts/onednn-3.1.0 --deconv --batch=inputs/deconv/shapes_1d --cfg=bf16bf16bf16 --engine=cpu Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU pts/draco-1.6.0 -i lion.ply Model: Lion pts/gromacs-1.8.0 mpi-build water-cut1.0_GMX50_bare/1536 Implementation: MPI CPU - Input: water_GMX50_bare pts/tensorflow-2.1.0 --device cpu --batch_size=512 --model=resnet50 Device: CPU - Batch Size: 512 - Model: ResNet-50 pts/tensorflow-2.1.0 --device cpu --batch_size=64 --model=resnet50 Device: CPU - Batch Size: 64 - Model: ResNet-50 pts/vpxenc-3.2.0 --cpu-used=0 ~/Bosphorus_3840x2160.y4m --width=3840 --height=2160 Speed: Speed 0 - Input: Bosphorus 4K pts/stress-ng-1.8.0 --poll -1 --no-rand-seed Test: Poll pts/blender-3.5.0 -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/blender-3.5.0 -b ../classroom_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: Classroom - Compute: CPU-Only pts/ffmpeg-6.0.0 --encoder=libx265 vod Encoder: libx265 - Scenario: Video On Demand pts/tensorflow-2.1.0 --device cpu --batch_size=256 --model=alexnet Device: CPU - Batch Size: 256 - Model: AlexNet pts/embree-1.4.0 pathtracer -c asian_dragon_obj/asian_dragon.ecs Binary: Pathtracer - Model: Asian Dragon Obj pts/tensorflow-2.1.0 --device cpu --batch_size=32 --model=resnet50 Device: CPU - Batch Size: 32 - Model: ResNet-50 pts/stress-ng-1.8.0 --mutex -1 --no-rand-seed Test: Mutex pts/vvenc-1.1.0 -i Bosphorus_3840x2160.y4m --preset faster Video Input: Bosphorus 4K - Video Preset: Faster pts/build-llvm-1.5.0 Ninja Build System: Ninja pts/stress-ng-1.8.0 --malloc -1 --no-rand-seed Test: Malloc pts/compress-zstd-1.6.0 -b3 Compression Level: 3 - Decompression Speed pts/blender-3.5.0 -b ../barbershop_interior_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: Barbershop - Compute: CPU-Only pts/blender-3.5.0 -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/embree-1.4.0 pathtracer_ispc -c asian_dragon_obj/asian_dragon.ecs Binary: Pathtracer ISPC - Model: Asian Dragon Obj pts/dav1d-1.13.0 -i chimera_10b_1080p.ivf Video Input: Chimera 1080p 10-bit pts/svt-av1-2.7.2 --preset 13 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 13 - Input: Bosphorus 4K pts/specfem3d-1.0.0 layered_halfspace Model: Layered Halfspace pts/onnx-1.6.0 super_resolution/super_resolution.onnx -e cpu Model: super-resolution-10 - Device: CPU - Executor: Standard pts/tensorflow-2.1.0 --device cpu --batch_size=256 --model=googlenet Device: CPU - Batch Size: 256 - Model: GoogLeNet pts/embree-1.4.0 pathtracer -c asian_dragon/asian_dragon.ecs Binary: Pathtracer - Model: Asian Dragon pts/ffmpeg-6.0.0 --encoder=libx265 platform Encoder: libx265 - Scenario: Platform pts/openssl-3.1.0 -evp aes-256-gcm Algorithm: AES-256-GCM pts/tensorflow-2.1.0 --device cpu --batch_size=64 --model=googlenet Device: CPU - Batch Size: 64 - Model: GoogLeNet pts/build-ffmpeg-6.0.0 Time To Compile pts/stress-ng-1.8.0 --memcpy -1 --no-rand-seed Test: Memory Copying pts/tensorflow-2.1.0 --device cpu --batch_size=512 --model=googlenet Device: CPU - Batch Size: 512 - Model: GoogLeNet pts/rocksdb-1.5.0 --benchmarks="fillrandom" Test: Random Fill pts/stress-ng-1.8.0 --qsort -1 --no-rand-seed Test: Glibc Qsort Data Sorting pts/openssl-3.1.0 rsa4096 Algorithm: RSA4096 pts/stress-ng-1.8.0 --io-uring -1 --no-rand-seed Test: IO_uring pts/openssl-3.1.0 -evp chacha20-poly1305 Algorithm: ChaCha20-Poly1305 pts/stress-ng-1.8.0 --vecmath -1 --no-rand-seed Test: Vector Math pts/rocksdb-1.5.0 --benchmarks="fillseq" Test: Sequential Fill pts/rocksdb-1.5.0 --benchmarks="updaterandom" Test: Update Random pts/openssl-3.1.0 -evp chacha20 Algorithm: ChaCha20 pts/stress-ng-1.8.0 --switch -1 --no-rand-seed Test: Context Switching pts/stress-ng-1.8.0 --rdrand -1 --no-rand-seed Test: x86_64 RdRand pts/mysqlslap-1.4.0 --concurrency=512 Clients: 512 pts/aom-av1-3.6.0 --cpu-used=0 --limit=20 Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p pts/onednn-3.1.0 --rnn --batch=inputs/rnn/perf_rnn_training --cfg=f32 --engine=cpu Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU pts/onednn-3.1.0 --deconv --batch=inputs/deconv/shapes_1d --cfg=f32 --engine=cpu Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU pts/onednn-3.1.0 --ip --batch=inputs/ip/shapes_3d --cfg=bf16bf16bf16 --engine=cpu Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU pts/onednn-3.1.0 --ip --batch=inputs/ip/shapes_1d --cfg=bf16bf16bf16 --engine=cpu Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU pts/onednn-3.1.0 --ip --batch=inputs/ip/shapes_3d --cfg=u8s8f32 --engine=cpu Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU pts/onednn-3.1.0 --ip --batch=inputs/ip/shapes_1d --cfg=u8s8f32 --engine=cpu Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU pts/onednn-3.1.0 --ip --batch=inputs/ip/shapes_3d --cfg=f32 --engine=cpu Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU pts/onednn-3.1.0 --ip --batch=inputs/ip/shapes_1d --cfg=f32 --engine=cpu Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU pts/apache-3.0.0 -c 1000 Concurrent Requests: 1000 pts/apache-3.0.0 -c 100 Concurrent Requests: 100 pts/nginx-3.0.1 -c 1000 Connections: 1000 pts/nginx-3.0.1 -c 100 Connections: 100