Benchmarks for a future article. AMD Ryzen 9 7950X 16-Core testing with a ASUS ROG STRIX X670E-E GAMING WIFI (1416 BIOS) and AMD Radeon 16GB on Ubuntu 23.10 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 2311276-PTS-DDD3212111 ddd - Phoronix Test Suite ddd Benchmarks for a future article. AMD Ryzen 9 7950X 16-Core testing with a ASUS ROG STRIX X670E-E GAMING WIFI (1416 BIOS) and AMD Radeon 16GB on Ubuntu 23.10 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2311276-PTS-DDD3212111&rdt&grr .
ddd Processor Motherboard Chipset Memory Disk Graphics Audio Monitor Network OS Kernel Desktop Display Server OpenGL Compiler File-System Screen Resolution a b AMD Ryzen 9 7950X 16-Core @ 5.88GHz (16 Cores / 32 Threads) ASUS ROG STRIX X670E-E GAMING WIFI (1416 BIOS) AMD Device 14d8 32GB 2000GB Samsung SSD 980 PRO 2TB AMD Radeon 16GB (2124/1218MHz) AMD Navi 31 HDMI/DP DELL U2723QE Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411 Ubuntu 23.10 6.6.0-phx-bcachefs (x86_64) GNOME Shell 45.0 X Server + Wayland 4.6 Mesa 23.2.1-1ubuntu3 (LLVM 15.0.7 DRM 3.54) GCC 13.2.0 + LLVM 16.0.6 ext4 3840x2160 OpenBenchmarking.org Kernel Details - Transparent Huge Pages: madvise Compiler Details - --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Processor Details - Scaling Governor: amd-pstate-epp powersave (EPP: balance_performance) - CPU Microcode: 0xa601203 Java Details - OpenJDK Runtime Environment (build 11.0.20+8-post-Ubuntu-1ubuntu1) Python Details - Python 3.11.6 Security Details - gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Vulnerable: Safe RET no microcode + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS IBPB: conditional STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
ddd webp2: Quality 100, Lossless Compression blender: Barbershop - CPU-Only ffmpeg: libx264 - Upload openssl: SHA512 openssl: SHA256 blender: Pabellon Barcelona - CPU-Only pytorch: CPU - 64 - Efficientnet_v2_l pytorch: CPU - 32 - Efficientnet_v2_l pytorch: CPU - 256 - Efficientnet_v2_l pytorch: CPU - 16 - Efficientnet_v2_l pytorch: CPU - 512 - Efficientnet_v2_l webp2: Quality 95, Compression Effort 7 blender: Classroom - CPU-Only ffmpeg: libx264 - Platform ffmpeg: libx264 - Video On Demand ffmpeg: libx265 - Upload ffmpeg: libx265 - Platform ffmpeg: libx265 - Video On Demand pytorch: CPU - 32 - ResNet-152 pytorch: CPU - 64 - ResNet-152 pytorch: CPU - 256 - ResNet-152 pytorch: CPU - 512 - ResNet-152 pytorch: CPU - 16 - ResNet-152 pytorch: CPU - 1 - Efficientnet_v2_l webp2: Quality 75, Compression Effort 7 blender: Fishy Cat - CPU-Only openssl: RSA4096 openssl: RSA4096 dacapobench: Apache Cassandra blender: BMW27 - CPU-Only ffmpeg: libx265 - Live pytorch: CPU - 256 - ResNet-50 pytorch: CPU - 16 - ResNet-50 pytorch: CPU - 512 - ResNet-50 pytorch: CPU - 32 - ResNet-50 pytorch: CPU - 64 - ResNet-50 pytorch: CPU - 1 - ResNet-152 embree: Pathtracer - Asian Dragon Obj embree: Pathtracer ISPC - Asian Dragon Obj ffmpeg: libx264 - Live java-scimark2: Composite dacapobench: Eclipse dacapobench: Apache Lucene Search Index embree: Pathtracer - Asian Dragon embree: Pathtracer - Crown dacapobench: H2 Database Engine embree: Pathtracer ISPC - Crown build-ffmpeg: Time To Compile dacapobench: Apache Kafka embree: Pathtracer ISPC - Asian Dragon dacapobench: jMonkeyEngine pytorch: CPU - 1 - ResNet-50 dacapobench: Tradebeans dacapobench: BioJava Biological Data Framework dacapobench: Tradesoap dacapobench: Jython dacapobench: GraphChi dacapobench: Apache Tomcat dacapobench: H2O In-Memory Platform For Machine Learning dacapobench: Avrora AVR Simulation Framework dacapobench: Spring Boot dacapobench: Apache Lucene Search Engine dacapobench: PMD Source Code Analyzer dacapobench: Batik SVG Toolkit dacapobench: Zxing 1D/2D Barcode Image Processing webp2: Quality 100, Compression Effort 5 dacapobench: FOP Print Formatter dacapobench: Apache Xalan XSLT webp2: Default java-scimark2: Jacobi Successive Over-Relaxation java-scimark2: Dense LU Matrix Factorization java-scimark2: Sparse Matrix Multiply java-scimark2: Fast Fourier Transform java-scimark2: Monte Carlo a b 0.04 464.43 18.21 11690406590 36100491030 158.37 12.70 12.63 12.67 12.62 12.76 0.17 130.65 70.58 70.72 36.72 75.33 75.21 20.79 20.46 20.90 20.82 20.96 16.43 0.35 64.18 393292.9 15089.6 5442 51.34 189.62 50.38 50.05 49.51 50.23 50.66 30.99 29.3398 29.9144 308.92 5660.58 7098 2526 33.1786 32.8364 1721 33.8042 22.121 6297 35.1025 6806 75.01 3370 4376 2361 3659 2131 3377 2278 3030 1329 1223 1104 1009 616 9.87 407 469 14.62 2552.76 18996.73 3936.57 470.52 2346.34 0.04 463.31 18.52 11681461040 36172449040 159.01 12.41 12.62 12.63 12.56 12.58 0.17 130.74 70.50 70.75 36.77 74.81 75.16 20.10 20.87 20.38 20.93 20.93 16.56 0.35 64 393267.4 15061.3 5473 51.33 193.02 50.29 49.83 50.34 50.30 50.39 30.35 29.2337 29.8613 307.75 5653.55 7066 2614 32.9509 32.6698 1667 33.7582 22.214 6299 34.9738 6809 76.74 3383 4333 2297 3608 2112 3389 2383 3100 1306 1267 1168 985 621 9.79 382 461 14.82 2552.76 18979.83 3912.13 471.56 2351.47 OpenBenchmarking.org
WebP2 Image Encode Encode Settings: Quality 100, Lossless Compression OpenBenchmarking.org MP/s, More Is Better WebP2 Image Encode 20220823 Encode Settings: Quality 100, Lossless Compression a b 0.009 0.018 0.027 0.036 0.045 0.04 0.04 1. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl
Blender Blend File: Barbershop - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.0 Blend File: Barbershop - Compute: CPU-Only a b 100 200 300 400 500 464.43 463.31
FFmpeg Encoder: libx264 - Scenario: Upload OpenBenchmarking.org FPS, More Is Better FFmpeg 6.1 Encoder: libx264 - Scenario: Upload a b 5 10 15 20 25 18.21 18.52 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenSSL Algorithm: SHA512 OpenBenchmarking.org byte/s, More Is Better OpenSSL Algorithm: SHA512 a b 3000M 6000M 9000M 12000M 15000M 11690406590 11681461040 1. OpenSSL 3.0.10 1 Aug 2023 (Library: OpenSSL 3.0.10 1 Aug 2023)
OpenSSL Algorithm: SHA256 OpenBenchmarking.org byte/s, More Is Better OpenSSL Algorithm: SHA256 a b 8000M 16000M 24000M 32000M 40000M 36100491030 36172449040 1. OpenSSL 3.0.10 1 Aug 2023 (Library: OpenSSL 3.0.10 1 Aug 2023)
Blender Blend File: Pabellon Barcelona - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.0 Blend File: Pabellon Barcelona - Compute: CPU-Only a b 40 80 120 160 200 158.37 159.01
PyTorch Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_l OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_l a b 3 6 9 12 15 12.70 12.41 MIN: 10.84 / MAX: 12.99 MIN: 11.09 / MAX: 12.69
PyTorch Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l a b 3 6 9 12 15 12.63 12.62 MIN: 11.17 / MAX: 12.9 MIN: 10.81 / MAX: 12.87
PyTorch Device: CPU - Batch Size: 256 - Model: Efficientnet_v2_l OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 256 - Model: Efficientnet_v2_l a b 3 6 9 12 15 12.67 12.63 MIN: 10.93 / MAX: 12.96 MIN: 11.11 / MAX: 12.89
PyTorch Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l a b 3 6 9 12 15 12.62 12.56 MIN: 11.04 / MAX: 12.93 MIN: 10.87 / MAX: 12.85
PyTorch Device: CPU - Batch Size: 512 - Model: Efficientnet_v2_l OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 512 - Model: Efficientnet_v2_l a b 3 6 9 12 15 12.76 12.58 MIN: 10.03 / MAX: 13.12 MIN: 10.87 / MAX: 12.88
WebP2 Image Encode Encode Settings: Quality 95, Compression Effort 7 OpenBenchmarking.org MP/s, More Is Better WebP2 Image Encode 20220823 Encode Settings: Quality 95, Compression Effort 7 a b 0.0383 0.0766 0.1149 0.1532 0.1915 0.17 0.17 1. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl
Blender Blend File: Classroom - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.0 Blend File: Classroom - Compute: CPU-Only a b 30 60 90 120 150 130.65 130.74
FFmpeg Encoder: libx264 - Scenario: Platform OpenBenchmarking.org FPS, More Is Better FFmpeg 6.1 Encoder: libx264 - Scenario: Platform a b 16 32 48 64 80 70.58 70.50 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
FFmpeg Encoder: libx264 - Scenario: Video On Demand OpenBenchmarking.org FPS, More Is Better FFmpeg 6.1 Encoder: libx264 - Scenario: Video On Demand a b 16 32 48 64 80 70.72 70.75 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
FFmpeg Encoder: libx265 - Scenario: Upload OpenBenchmarking.org FPS, More Is Better FFmpeg 6.1 Encoder: libx265 - Scenario: Upload a b 8 16 24 32 40 36.72 36.77 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
FFmpeg Encoder: libx265 - Scenario: Platform OpenBenchmarking.org FPS, More Is Better FFmpeg 6.1 Encoder: libx265 - Scenario: Platform a b 20 40 60 80 100 75.33 74.81 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
FFmpeg Encoder: libx265 - Scenario: Video On Demand OpenBenchmarking.org FPS, More Is Better FFmpeg 6.1 Encoder: libx265 - Scenario: Video On Demand a b 20 40 60 80 100 75.21 75.16 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
PyTorch Device: CPU - Batch Size: 32 - Model: ResNet-152 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 32 - Model: ResNet-152 a b 5 10 15 20 25 20.79 20.10 MIN: 20.64 / MAX: 21.1 MIN: 19.91 / MAX: 20.3
PyTorch Device: CPU - Batch Size: 64 - Model: ResNet-152 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 64 - Model: ResNet-152 a b 5 10 15 20 25 20.46 20.87 MIN: 20.27 / MAX: 20.53 MIN: 16.38 / MAX: 21.04
PyTorch Device: CPU - Batch Size: 256 - Model: ResNet-152 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 256 - Model: ResNet-152 a b 5 10 15 20 25 20.90 20.38 MIN: 20.7 / MAX: 21.03 MIN: 19.99 / MAX: 20.49
PyTorch Device: CPU - Batch Size: 512 - Model: ResNet-152 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 512 - Model: ResNet-152 a b 5 10 15 20 25 20.82 20.93 MIN: 16.95 / MAX: 20.98 MIN: 20.74 / MAX: 21.15
PyTorch Device: CPU - Batch Size: 16 - Model: ResNet-152 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: ResNet-152 a b 5 10 15 20 25 20.96 20.93 MIN: 20.69 / MAX: 21.16 MIN: 20.49 / MAX: 21.22
PyTorch Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l a b 4 8 12 16 20 16.43 16.56 MIN: 16.28 / MAX: 16.49 MIN: 16.45 / MAX: 16.68
WebP2 Image Encode Encode Settings: Quality 75, Compression Effort 7 OpenBenchmarking.org MP/s, More Is Better WebP2 Image Encode 20220823 Encode Settings: Quality 75, Compression Effort 7 a b 0.0788 0.1576 0.2364 0.3152 0.394 0.35 0.35 1. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl
Blender Blend File: Fishy Cat - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.0 Blend File: Fishy Cat - Compute: CPU-Only a b 14 28 42 56 70 64.18 64.00
OpenSSL Algorithm: RSA4096 OpenBenchmarking.org verify/s, More Is Better OpenSSL Algorithm: RSA4096 a b 80K 160K 240K 320K 400K 393292.9 393267.4 1. OpenSSL 3.0.10 1 Aug 2023 (Library: OpenSSL 3.0.10 1 Aug 2023)
OpenSSL Algorithm: RSA4096 OpenBenchmarking.org sign/s, More Is Better OpenSSL Algorithm: RSA4096 a b 3K 6K 9K 12K 15K 15089.6 15061.3 1. OpenSSL 3.0.10 1 Aug 2023 (Library: OpenSSL 3.0.10 1 Aug 2023)
DaCapo Benchmark Java Test: Apache Cassandra OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 23.11 Java Test: Apache Cassandra a b 1200 2400 3600 4800 6000 5442 5473
Blender Blend File: BMW27 - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.0 Blend File: BMW27 - Compute: CPU-Only a b 12 24 36 48 60 51.34 51.33
FFmpeg Encoder: libx265 - Scenario: Live OpenBenchmarking.org FPS, More Is Better FFmpeg 6.1 Encoder: libx265 - Scenario: Live a b 40 80 120 160 200 189.62 193.02 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
PyTorch Device: CPU - Batch Size: 256 - Model: ResNet-50 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 256 - Model: ResNet-50 a b 11 22 33 44 55 50.38 50.29 MIN: 48.86 / MAX: 50.92 MIN: 48.52 / MAX: 50.96
PyTorch Device: CPU - Batch Size: 16 - Model: ResNet-50 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: ResNet-50 a b 11 22 33 44 55 50.05 49.83 MIN: 48.65 / MAX: 50.82 MIN: 48.35 / MAX: 50.41
PyTorch Device: CPU - Batch Size: 512 - Model: ResNet-50 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 512 - Model: ResNet-50 a b 11 22 33 44 55 49.51 50.34 MIN: 48.66 / MAX: 50.72 MIN: 48.97 / MAX: 51.11
PyTorch Device: CPU - Batch Size: 32 - Model: ResNet-50 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 32 - Model: ResNet-50 a b 11 22 33 44 55 50.23 50.30 MIN: 48.58 / MAX: 51.94 MIN: 48.87 / MAX: 50.97
PyTorch Device: CPU - Batch Size: 64 - Model: ResNet-50 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 64 - Model: ResNet-50 a b 11 22 33 44 55 50.66 50.39 MIN: 48.86 / MAX: 50.9 MIN: 48.74 / MAX: 51.32
PyTorch Device: CPU - Batch Size: 1 - Model: ResNet-152 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: ResNet-152 a b 7 14 21 28 35 30.99 30.35 MIN: 30.53 / MAX: 31.3 MIN: 29.88 / MAX: 30.69
Embree Binary: Pathtracer - Model: Asian Dragon Obj OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.3 Binary: Pathtracer - Model: Asian Dragon Obj a b 7 14 21 28 35 29.34 29.23 MIN: 29.18 / MAX: 29.77 MIN: 29.04 / MAX: 29.74
Embree Binary: Pathtracer ISPC - Model: Asian Dragon Obj OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.3 Binary: Pathtracer ISPC - Model: Asian Dragon Obj a b 7 14 21 28 35 29.91 29.86 MIN: 29.62 / MAX: 30.89 MIN: 29.6 / MAX: 30.48
FFmpeg Encoder: libx264 - Scenario: Live OpenBenchmarking.org FPS, More Is Better FFmpeg 6.1 Encoder: libx264 - Scenario: Live a b 70 140 210 280 350 308.92 307.75 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
Java SciMark Computational Test: Composite OpenBenchmarking.org Mflops, More Is Better Java SciMark 2.2 Computational Test: Composite a b 1200 2400 3600 4800 6000 5660.58 5653.55
DaCapo Benchmark Java Test: Eclipse OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 23.11 Java Test: Eclipse a b 1500 3000 4500 6000 7500 7098 7066
DaCapo Benchmark Java Test: Apache Lucene Search Index OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 23.11 Java Test: Apache Lucene Search Index a b 600 1200 1800 2400 3000 2526 2614
Embree Binary: Pathtracer - Model: Asian Dragon OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.3 Binary: Pathtracer - Model: Asian Dragon a b 8 16 24 32 40 33.18 32.95 MIN: 33.04 / MAX: 33.52 MIN: 32.74 / MAX: 33.58
Embree Binary: Pathtracer - Model: Crown OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.3 Binary: Pathtracer - Model: Crown a b 8 16 24 32 40 32.84 32.67 MIN: 32.59 / MAX: 33.55 MIN: 32.39 / MAX: 33.37
DaCapo Benchmark Java Test: H2 Database Engine OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 23.11 Java Test: H2 Database Engine a b 400 800 1200 1600 2000 1721 1667
Embree Binary: Pathtracer ISPC - Model: Crown OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.3 Binary: Pathtracer ISPC - Model: Crown a b 8 16 24 32 40 33.80 33.76 MIN: 33.47 / MAX: 34.6 MIN: 33.43 / MAX: 34.72
Timed FFmpeg Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed FFmpeg Compilation 6.1 Time To Compile a b 5 10 15 20 25 22.12 22.21
DaCapo Benchmark Java Test: Apache Kafka OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 23.11 Java Test: Apache Kafka a b 1400 2800 4200 5600 7000 6297 6299
Embree Binary: Pathtracer ISPC - Model: Asian Dragon OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.3 Binary: Pathtracer ISPC - Model: Asian Dragon a b 8 16 24 32 40 35.10 34.97 MIN: 34.82 / MAX: 36.02 MIN: 34.65 / MAX: 36.25
DaCapo Benchmark Java Test: jMonkeyEngine OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 23.11 Java Test: jMonkeyEngine a b 1500 3000 4500 6000 7500 6806 6809
PyTorch Device: CPU - Batch Size: 1 - Model: ResNet-50 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: ResNet-50 a b 20 40 60 80 100 75.01 76.74 MIN: 72.04 / MAX: 75.41 MIN: 72.34 / MAX: 77.21
DaCapo Benchmark Java Test: Tradebeans OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 23.11 Java Test: Tradebeans a b 700 1400 2100 2800 3500 3370 3383
DaCapo Benchmark Java Test: BioJava Biological Data Framework OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 23.11 Java Test: BioJava Biological Data Framework a b 900 1800 2700 3600 4500 4376 4333
DaCapo Benchmark Java Test: Tradesoap OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 23.11 Java Test: Tradesoap a b 500 1000 1500 2000 2500 2361 2297
DaCapo Benchmark Java Test: Jython OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 23.11 Java Test: Jython a b 800 1600 2400 3200 4000 3659 3608
DaCapo Benchmark Java Test: GraphChi OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 23.11 Java Test: GraphChi a b 500 1000 1500 2000 2500 2131 2112
DaCapo Benchmark Java Test: Apache Tomcat OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 23.11 Java Test: Apache Tomcat a b 700 1400 2100 2800 3500 3377 3389
DaCapo Benchmark Java Test: H2O In-Memory Platform For Machine Learning OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 23.11 Java Test: H2O In-Memory Platform For Machine Learning a b 500 1000 1500 2000 2500 2278 2383
DaCapo Benchmark Java Test: Avrora AVR Simulation Framework OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 23.11 Java Test: Avrora AVR Simulation Framework a b 700 1400 2100 2800 3500 3030 3100
DaCapo Benchmark Java Test: Spring Boot OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 23.11 Java Test: Spring Boot a b 300 600 900 1200 1500 1329 1306
DaCapo Benchmark Java Test: Apache Lucene Search Engine OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 23.11 Java Test: Apache Lucene Search Engine a b 300 600 900 1200 1500 1223 1267
DaCapo Benchmark Java Test: PMD Source Code Analyzer OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 23.11 Java Test: PMD Source Code Analyzer a b 300 600 900 1200 1500 1104 1168
DaCapo Benchmark Java Test: Batik SVG Toolkit OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 23.11 Java Test: Batik SVG Toolkit a b 200 400 600 800 1000 1009 985
DaCapo Benchmark Java Test: Zxing 1D/2D Barcode Image Processing OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 23.11 Java Test: Zxing 1D/2D Barcode Image Processing a b 130 260 390 520 650 616 621
WebP2 Image Encode Encode Settings: Quality 100, Compression Effort 5 OpenBenchmarking.org MP/s, More Is Better WebP2 Image Encode 20220823 Encode Settings: Quality 100, Compression Effort 5 a b 3 6 9 12 15 9.87 9.79 1. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl
DaCapo Benchmark Java Test: FOP Print Formatter OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 23.11 Java Test: FOP Print Formatter a b 90 180 270 360 450 407 382
DaCapo Benchmark Java Test: Apache Xalan XSLT OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 23.11 Java Test: Apache Xalan XSLT a b 100 200 300 400 500 469 461
WebP2 Image Encode Encode Settings: Default OpenBenchmarking.org MP/s, More Is Better WebP2 Image Encode 20220823 Encode Settings: Default a b 4 8 12 16 20 14.62 14.82 1. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl
Java SciMark Computational Test: Jacobi Successive Over-Relaxation OpenBenchmarking.org Mflops, More Is Better Java SciMark 2.2 Computational Test: Jacobi Successive Over-Relaxation a b 500 1000 1500 2000 2500 2552.76 2552.76
Java SciMark Computational Test: Dense LU Matrix Factorization OpenBenchmarking.org Mflops, More Is Better Java SciMark 2.2 Computational Test: Dense LU Matrix Factorization a b 4K 8K 12K 16K 20K 18996.73 18979.83
Java SciMark Computational Test: Sparse Matrix Multiply OpenBenchmarking.org Mflops, More Is Better Java SciMark 2.2 Computational Test: Sparse Matrix Multiply a b 800 1600 2400 3200 4000 3936.57 3912.13
Java SciMark Computational Test: Fast Fourier Transform OpenBenchmarking.org Mflops, More Is Better Java SciMark 2.2 Computational Test: Fast Fourier Transform a b 100 200 300 400 500 470.52 471.56
Java SciMark Computational Test: Monte Carlo OpenBenchmarking.org Mflops, More Is Better Java SciMark 2.2 Computational Test: Monte Carlo a b 500 1000 1500 2000 2500 2346.34 2351.47
Phoronix Test Suite v10.8.4