xxx

Intel Core i7-10700T testing with a Logic Supply RXM-181 (Z01-0002A026 BIOS) and Intel UHD 630 CML GT2 31GB on openSUSE 20230303 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 2304081-NE-XXX58508908
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Timed Code Compilation 4 Tests
C/C++ Compiler Tests 5 Tests
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Game Development 3 Tests
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April 07 2023
  3 Hours, 45 Minutes
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April 08 2023
  3 Hours, 43 Minutes
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April 08 2023
  3 Hours, 44 Minutes
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xxx Suite 1.0.0 System Test suite extracted from xxx. pts/build-llvm-1.5.0 Build System: Unix Makefiles pts/build-llvm-1.5.0 Ninja Build System: Ninja pts/build-nodejs-1.3.0 Time To Compile pts/tensorflow-2.1.0 --device cpu --batch_size=64 --model=resnet50 Device: CPU - Batch Size: 64 - Model: ResNet-50 pts/build-godot-4.0.0 Time To Compile pts/tensorflow-2.1.0 --device cpu --batch_size=32 --model=resnet50 Device: CPU - Batch Size: 32 - Model: ResNet-50 pts/opencv-1.3.0 stitching Test: Stitching pts/glmark2-1.4.0 -s 1920x1080 Resolution: 1920 x 1080 pts/tensorflow-2.1.0 --device cpu --batch_size=64 --model=googlenet Device: CPU - Batch Size: 64 - Model: GoogLeNet pts/build2-1.2.0 Time To Compile 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/vvenc-1.8.0 -i Bosphorus_3840x2160.y4m --preset fast Video Input: Bosphorus 4K - Video Preset: Fast pts/tensorflow-2.1.0 --device cpu --batch_size=16 --model=resnet50 Device: CPU - Batch Size: 16 - Model: ResNet-50 pts/geekbench-6.0.0 --compute Vulkan Test: GPU Vulkan pts/opencv-1.3.0 gapi Test: Graph API pts/openssl-3.1.0 sha256 Algorithm: SHA256 pts/openssl-3.1.0 -evp chacha20-poly1305 Algorithm: ChaCha20-Poly1305 pts/openssl-3.1.0 -evp aes-256-gcm Algorithm: AES-256-GCM pts/openssl-3.1.0 -evp aes-128-gcm Algorithm: AES-128-GCM pts/openssl-3.1.0 -evp chacha20 Algorithm: ChaCha20 pts/openssl-3.1.0 sha512 Algorithm: SHA512 pts/tensorflow-2.1.0 --device cpu --batch_size=32 --model=googlenet Device: CPU - Batch Size: 32 - Model: GoogLeNet pts/geekbench-6.0.0 --single-core Test: CPU Single Core pts/vvenc-1.8.0 -i Bosphorus_3840x2160.y4m --preset faster Video Input: Bosphorus 4K - Video Preset: Faster pts/tensorflow-2.1.0 --device cpu --batch_size=64 --model=alexnet Device: CPU - Batch Size: 64 - Model: AlexNet pts/opencv-1.3.0 imgproc Test: Image Processing pts/opencv-1.3.0 features2d Test: Features 2D 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/nginx-3.0.1 -c 500 Connections: 500 pts/nginx-3.0.1 -c 1000 Connections: 1000 pts/nginx-3.0.1 -c 100 Connections: 100 pts/nginx-3.0.1 -c 200 Connections: 200 pts/vvenc-1.8.0 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset fast Video Input: Bosphorus 1080p - Video Preset: Fast 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=16 --model=googlenet Device: CPU - Batch Size: 16 - Model: GoogLeNet pts/geekbench-6.0.0 --multi-core Test: CPU Multi Core pts/opencv-1.3.0 core Test: Core pts/tensorflow-2.1.0 --device cpu --batch_size=32 --model=alexnet Device: CPU - Batch Size: 32 - Model: AlexNet 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/john-the-ripper-1.8.0 --format=md5crypt Test: MD5 pts/rocksdb-1.5.0 --benchmarks="readrandomwriterandom" Test: Read Random Write Random pts/rocksdb-1.5.0 --benchmarks="updaterandom" Test: Update Random pts/rocksdb-1.5.0 --benchmarks="readwhilewriting" Test: Read While Writing pts/rocksdb-1.5.0 --benchmarks="fillrandom" Test: Random Fill pts/rocksdb-1.5.0 --benchmarks="fillsync" Test: Random Fill Sync pts/john-the-ripper-1.8.0 --format=HMAC-SHA512 Test: HMAC-SHA512 pts/openssl-3.1.0 rsa4096 Algorithm: RSA4096 pts/rocksdb-1.5.0 --benchmarks="readrandom" Test: Random Read pts/tensorflow-2.1.0 --device cpu --batch_size=16 --model=alexnet Device: CPU - Batch Size: 16 - Model: AlexNet pts/vvenc-1.8.0 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset faster Video Input: Bosphorus 1080p - Video Preset: Faster pts/opencv-1.3.0 objdetect Test: Object Detection 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=bcrypt Test: bcrypt pts/stress-ng-1.8.0 --mutex -1 --no-rand-seed Test: Mutex pts/opencv-1.3.0 dnn Test: DNN - Deep Neural Network 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_1d --cfg=f32 --engine=cpu Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU pts/rocksdb-1.5.0 --benchmarks="fillseq" Test: Sequential Fill 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/draco-1.6.0 -i church.ply Model: Church Facade pts/opencv-1.3.0 video Test: Video pts/draco-1.6.0 -i lion.ply Model: Lion 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/glibc-bench-1.8.0 bench-exp Benchmark: exp pts/glibc-bench-1.8.0 bench-sin Benchmark: sin 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/glibc-bench-1.8.0 bench-sincos Benchmark: sincos pts/glibc-bench-1.8.0 bench-pow Benchmark: pow pts/glibc-bench-1.8.0 bench-cos Benchmark: cos pts/glibc-bench-1.8.0 bench-atanh Benchmark: atanh pts/glibc-bench-1.8.0 bench-asinh Benchmark: asinh pts/glibc-bench-1.8.0 bench-pthread_once Benchmark: pthread_once pts/glibc-bench-1.8.0 bench-ffsll Benchmark: ffsll pts/glibc-bench-1.8.0 bench-tanh Benchmark: tanh pts/glibc-bench-1.8.0 bench-sqrt Benchmark: sqrt pts/glibc-bench-1.8.0 bench-sinh Benchmark: sinh pts/glibc-bench-1.8.0 bench-modf Benchmark: modf pts/glibc-bench-1.8.0 bench-log2 Benchmark: log2 pts/glibc-bench-1.8.0 bench-ffs Benchmark: ffs pts/apache-3.0.0 -c 100 Concurrent Requests: 100 pts/apache-3.0.0 -c 1000 Concurrent Requests: 1000 pts/apache-3.0.0 -c 500 Concurrent Requests: 500 pts/apache-3.0.0 -c 200 Concurrent Requests: 200