new-tests

2 x AMD EPYC 7513 32-Core testing with a Supermicro H12DSi-N6 v1.02 (2.3 BIOS) and astdrmfb on AlmaLinux 9.1 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 2303289-NE-NEWTESTS407
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Timed Code Compilation 6 Tests
C/C++ Compiler Tests 8 Tests
CPU Massive 11 Tests
Creator Workloads 6 Tests
Cryptography 2 Tests
Database Test Suite 3 Tests
Encoding 3 Tests
Game Development 2 Tests
HPC - High Performance Computing 3 Tests
Common Kernel Benchmarks 4 Tests
Machine Learning 2 Tests
Multi-Core 13 Tests
Programmer / Developer System Benchmarks 6 Tests
Python Tests 5 Tests
Server 6 Tests
Server CPU Tests 8 Tests
Video Encoding 3 Tests

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March 28 2023
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March 28 2023
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March 28 2023
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new-tests Suite 1.0.0 System Test suite extracted from new-tests . pts/stress-ng-1.8.0 --io-uring -1 --no-rand-seed Test: IO_uring pts/stress-ng-1.7.0 --rdrand -1 --no-rand-seed Test: x86_64 RdRand pts/stress-ng-1.8.0 --hash -1 --no-rand-seed Test: Hash pts/stress-ng-1.8.0 --mmap -1 --no-rand-seed Test: MMAP pts/stress-ng-1.8.0 --numa -1 --no-rand-seed Test: NUMA pts/stress-ng-1.8.0 --poll -1 --no-rand-seed Test: Poll pts/stress-ng-1.8.0 --zlib -1 --no-rand-seed Test: Zlib pts/stress-ng-1.8.0 --futex -1 --no-rand-seed Test: Futex pts/stress-ng-1.8.0 --memfd -1 --no-rand-seed Test: MEMFD pts/stress-ng-1.8.0 --mutex -1 --no-rand-seed Test: Mutex pts/stress-ng-1.8.0 --atomic -1 --no-rand-seed Test: Atomic pts/stress-ng-1.8.0 --crypt -1 --no-rand-seed Test: Crypto pts/stress-ng-1.8.0 --malloc -1 --no-rand-seed Test: Malloc pts/stress-ng-1.8.0 --fork -1 --no-rand-seed Test: Forking pts/stress-ng-1.8.0 --pthread -1 --no-rand-seed Test: Pthread pts/stress-ng-1.8.0 --sendfile -1 --no-rand-seed Test: SENDFILE pts/stress-ng-1.8.0 --cache -1 --no-rand-seed Test: CPU Cache 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/stress-ng-1.8.0 --matrix -1 --no-rand-seed Test: Matrix Math pts/stress-ng-1.8.0 --vecmath -1 --no-rand-seed Test: Vector Math pts/openssl-3.1.0 sha256 Algorithm: SHA256 pts/openssl-3.1.0 sha512 Algorithm: SHA512 pts/openssl-3.1.0 -evp chacha20 Algorithm: ChaCha20 pts/openssl-3.1.0 -evp aes-128-gcm Algorithm: AES-128-GCM pts/openssl-3.1.0 -evp aes-256-gcm Algorithm: AES-256-GCM pts/openssl-3.1.0 -evp chacha20-poly1305 Algorithm: ChaCha20-Poly1305 pts/ffmpeg-6.0.0 --encoder=libx264 live Encoder: libx264 - Scenario: Live pts/ffmpeg-6.0.0 --encoder=libx265 live Encoder: libx265 - Scenario: Live pts/ffmpeg-6.0.0 --encoder=libx264 upload Encoder: libx264 - Scenario: Upload pts/ffmpeg-6.0.0 --encoder=libx265 upload Encoder: libx265 - Scenario: Upload pts/ffmpeg-6.0.0 --encoder=libx264 platform Encoder: libx264 - Scenario: Platform pts/ffmpeg-6.0.0 --encoder=libx265 platform Encoder: libx265 - Scenario: Platform pts/ffmpeg-6.0.0 --encoder=libx264 vod Encoder: libx264 - Scenario: Video On Demand pts/ffmpeg-6.0.0 --encoder=libx265 vod Encoder: libx265 - Scenario: Video On Demand 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/embree-1.4.0 pathtracer -c asian_dragon/asian_dragon.ecs Binary: Pathtracer - Model: Asian Dragon pts/embree-1.4.0 pathtracer -c asian_dragon_obj/asian_dragon.ecs Binary: Pathtracer - Model: Asian Dragon Obj pts/embree-1.4.0 pathtracer_ispc -c asian_dragon/asian_dragon.ecs Binary: Pathtracer ISPC - Model: Asian Dragon pts/embree-1.4.0 pathtracer_ispc -c asian_dragon_obj/asian_dragon.ecs Binary: Pathtracer ISPC - Model: Asian Dragon Obj 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/svt-av1-2.7.2 --preset 8 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 8 - Input: Bosphorus 4K pts/svt-av1-2.7.2 --preset 12 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 12 - Input: Bosphorus 4K pts/svt-av1-2.7.2 --preset 13 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 13 - Input: Bosphorus 4K pts/svt-av1-2.7.2 --preset 4 -n 160 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Preset 4 - Input: Bosphorus 1080p pts/svt-av1-2.7.2 --preset 8 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Preset 8 - Input: Bosphorus 1080p pts/svt-av1-2.7.2 --preset 12 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Preset 12 - Input: Bosphorus 1080p pts/svt-av1-2.7.2 --preset 13 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Preset 13 - Input: Bosphorus 1080p pts/vvenc-1.1.0 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset fast Video Input: Bosphorus 1080p - Video Preset: Fast pts/vvenc-1.1.0 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset faster Video Input: Bosphorus 1080p - Video Preset: Faster pts/vvenc-1.1.0 -i Bosphorus_3840x2160.y4m --preset fast Video Input: Bosphorus 4K - Video Preset: Fast pts/vvenc-1.1.0 -i Bosphorus_3840x2160.y4m --preset faster Video Input: Bosphorus 4K - Video Preset: Faster pts/tensorflow-2.1.0 --device cpu --batch_size=16 --model=alexnet Device: CPU - Batch Size: 16 - Model: AlexNet pts/tensorflow-2.1.0 --device cpu --batch_size=32 --model=alexnet Device: CPU - Batch Size: 32 - Model: AlexNet pts/tensorflow-2.1.0 --device cpu --batch_size=64 --model=alexnet Device: CPU - Batch Size: 64 - Model: AlexNet pts/tensorflow-2.1.0 --device cpu --batch_size=256 --model=alexnet Device: CPU - Batch Size: 256 - Model: AlexNet pts/tensorflow-2.1.0 --device cpu --batch_size=512 --model=alexnet Device: CPU - Batch Size: 512 - Model: AlexNet pts/tensorflow-2.1.0 --device cpu --batch_size=16 --model=googlenet Device: CPU - Batch Size: 16 - Model: GoogLeNet pts/tensorflow-2.1.0 --device cpu --batch_size=16 --model=resnet50 Device: CPU - Batch Size: 16 - Model: ResNet-50 pts/tensorflow-2.1.0 --device cpu --batch_size=32 --model=googlenet Device: CPU - Batch Size: 32 - Model: GoogLeNet pts/tensorflow-2.1.0 --device cpu --batch_size=32 --model=resnet50 Device: CPU - Batch Size: 32 - Model: ResNet-50 pts/tensorflow-2.1.0 --device cpu --batch_size=64 --model=googlenet Device: CPU - Batch Size: 64 - Model: GoogLeNet pts/tensorflow-2.1.0 --device cpu --batch_size=64 --model=resnet50 Device: CPU - Batch Size: 64 - Model: ResNet-50 pts/tensorflow-2.1.0 --device cpu --batch_size=256 --model=googlenet Device: CPU - Batch Size: 256 - Model: GoogLeNet pts/tensorflow-2.1.0 --device cpu --batch_size=256 --model=resnet50 Device: CPU - Batch Size: 256 - Model: ResNet-50 pts/tensorflow-2.1.0 --device cpu --batch_size=512 --model=googlenet Device: CPU - Batch Size: 512 - Model: GoogLeNet pts/tensorflow-2.1.0 --device cpu --batch_size=512 --model=resnet50 Device: CPU - Batch Size: 512 - Model: ResNet-50 pts/compress-7zip-1.10.0 Test: Compression Rating pts/compress-7zip-1.10.0 Test: Decompression Rating pts/rocksdb-1.5.0 --benchmarks="fillrandom" Test: Random Fill pts/rocksdb-1.5.0 --benchmarks="readrandom" Test: Random Read pts/rocksdb-1.5.0 --benchmarks="updaterandom" Test: Update Random pts/rocksdb-1.5.0 --benchmarks="fillseq" Test: Sequential Fill pts/rocksdb-1.5.0 --benchmarks="fillsync" Test: Random Fill Sync pts/rocksdb-1.5.0 --benchmarks="readwhilewriting" Test: Read While Writing pts/rocksdb-1.5.0 --benchmarks="readrandomwriterandom" Test: Read Random Write Random pts/memcached-1.2.0 --ratio=1:5 Set To Get Ratio: 1:5 pts/memcached-1.2.0 --ratio=1:10 Set To Get Ratio: 1:10 pts/memcached-1.2.0 --ratio=1:100 Set To Get Ratio: 1:100 pts/mysqlslap-1.4.0 --concurrency=256 Clients: 256 pts/mysqlslap-1.4.0 --concurrency=512 Clients: 512 pts/mysqlslap-1.4.0 --concurrency=1024 Clients: 1024 pts/mysqlslap-1.4.0 --concurrency=2048 Clients: 2048 pts/mysqlslap-1.4.0 --concurrency=4096 Clients: 4096 pts/mysqlslap-1.4.0 --concurrency=8192 Clients: 8192 pts/john-the-ripper-1.8.0 --format=bcrypt Test: bcrypt pts/john-the-ripper-1.8.0 --format=wpapsk Test: WPA PSK pts/john-the-ripper-1.8.0 --format=bcrypt Test: Blowfish pts/john-the-ripper-1.8.0 --format=HMAC-SHA512 Test: HMAC-SHA512 pts/john-the-ripper-1.8.0 --format=md5crypt Test: MD5 pts/nginx-3.0.1 -c 100 Connections: 100 pts/nginx-3.0.1 -c 200 Connections: 200 pts/nginx-3.0.1 -c 500 Connections: 500 pts/nginx-3.0.1 -c 1000 Connections: 1000 pts/apache-3.0.0 -c 100 Concurrent Requests: 100 pts/apache-3.0.0 -c 200 Concurrent Requests: 200 pts/apache-3.0.0 -c 500 Concurrent Requests: 500 pts/apache-3.0.0 -c 1000 Concurrent Requests: 1000 pts/openssl-3.1.0 rsa4096 Algorithm: RSA4096 pts/daphne-1.1.0 OpenMP ndt_mapping Backend: OpenMP - Kernel: NDT Mapping pts/daphne-1.1.0 OpenMP points2image Backend: OpenMP - Kernel: Points2Image pts/daphne-1.1.0 OpenMP euclidean_cluster Backend: OpenMP - Kernel: Euclidean Cluster pts/draco-1.6.0 -i lion.ply Model: Lion pts/draco-1.6.0 -i church.ply Model: Church Facade pts/opencv-1.3.0 core Test: Core pts/opencv-1.3.0 video Test: Video pts/opencv-1.3.0 gapi Test: Graph API pts/opencv-1.3.0 stitching Test: Stitching pts/opencv-1.3.0 features2d Test: Features 2D pts/opencv-1.3.0 imgproc Test: Image Processing pts/opencv-1.3.0 objdetect Test: Object Detection pts/opencv-1.3.0 dnn Test: DNN - Deep Neural Network pts/build-ffmpeg-6.0.0 Time To Compile pts/build-linux-kernel-1.15.0 defconfig Build: defconfig pts/build-linux-kernel-1.15.0 allmodconfig Build: allmodconfig pts/specfem3d-1.0.0 layered_halfspace Model: Layered Halfspace pts/specfem3d-1.0.0 waterlayered_halfspace Model: Water-layered Halfspace pts/specfem3d-1.0.0 homogeneous_halfspace Model: Homogeneous Halfspace pts/specfem3d-1.0.0 Mount_StHelens Model: Mount St. Helens pts/specfem3d-1.0.0 tomographic_model Model: Tomographic Model pts/build-godot-4.0.0 Time To Compile pts/build-llvm-1.5.0 Ninja Build System: Ninja pts/build-llvm-1.5.0 Build System: Unix Makefiles pts/build-nodejs-1.3.0 Time To Compile pts/build2-1.2.0 Time To Compile