genoa tests eoy2024 2 x AMD EPYC 9124 16-Core testing with a AMD Titanite_4G (RTI1007B BIOS) and ASPEED on Ubuntu 23.10 via the Phoronix Test Suite. a: Processor: 2 x AMD EPYC 9124 16-Core @ 3.00GHz (32 Cores / 64 Threads), Motherboard: AMD Titanite_4G (RTI1007B BIOS), Chipset: AMD Device 14a4, Memory: 1520GB, Disk: 3201GB Micron_7450_MTFDKCB3T2TFS, Graphics: ASPEED, Network: Broadcom NetXtreme BCM5720 PCIe OS: Ubuntu 23.10, Kernel: 6.9.0-060900rc1daily20240327-generic (x86_64), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200 b: Processor: 2 x AMD EPYC 9124 16-Core @ 3.00GHz (32 Cores / 64 Threads), Motherboard: AMD Titanite_4G (RTI1007B BIOS), Chipset: AMD Device 14a4, Memory: 1520GB, Disk: 3201GB Micron_7450_MTFDKCB3T2TFS, Graphics: ASPEED, Network: Broadcom NetXtreme BCM5720 PCIe OS: Ubuntu 23.10, Kernel: 6.9.0-060900rc1daily20240327-generic (x86_64), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200 CP2K Molecular Dynamics 2024.3 Input: H20-256 Seconds < Lower Is Better a . 221.37 |=================================================================== b . 222.39 |=================================================================== NAMD 3.0 Input: ATPase with 327,506 Atoms ns/day > Higher Is Better a . 5.17004 |================================================================== b . 5.13084 |================================================================= NAMD 3.0 Input: STMV with 1,066,628 Atoms ns/day > Higher Is Better a . 1.57997 |================================================================== b . 1.57748 |================================================================== QuantLib 1.35-dev Size: S tasks/s > Higher Is Better a . 27.59 |==================================================================== b . 27.59 |==================================================================== QuantLib 1.35-dev Size: XXS tasks/s > Higher Is Better a . 28.03 |==================================================================== b . 28.05 |==================================================================== Laghos 3.1 Test: Triple Point Problem Major Kernels Total Rate > Higher Is Better a . 219.97 |=================================================================== b . 220.28 |=================================================================== Laghos 3.1 Test: Sedov Blast Wave, ube_922_hex.mesh Major Kernels Total Rate > Higher Is Better a . 284.26 |=================================================================== b . 284.27 |=================================================================== Palabos 2.3 Grid Size: 100 Mega Site Updates Per Second > Higher Is Better a . 292.35 |=================================================================== b . 291.84 |=================================================================== Palabos 2.3 Grid Size: 400 Mega Site Updates Per Second > Higher Is Better a . 397.01 |================================================================== b . 400.26 |=================================================================== Palabos 2.3 Grid Size: 500 Mega Site Updates Per Second > Higher Is Better a . 412.58 |=================================================================== b . 409.04 |================================================================== WarpX 24.10 Input: Uniform Plasma Seconds < Lower Is Better a . 19.57 |==================================================================== b . 19.61 |==================================================================== WarpX 24.10 Input: Plasma Acceleration Seconds < Lower Is Better a . 28.40 |=================================================================== b . 28.82 |==================================================================== Z3 Theorem Prover 4.12.1 SMT File: 1.smt2 Seconds < Lower Is Better a . 32.66 |==================================================================== b . 32.82 |==================================================================== Z3 Theorem Prover 4.12.1 SMT File: 2.smt2 Seconds < Lower Is Better a . 78.12 |==================================================================== b . 77.62 |==================================================================== simdjson 3.10 Throughput Test: Kostya GB/s > Higher Is Better a . 4.18 |==================================================================== b . 4.26 |===================================================================== simdjson 3.10 Throughput Test: TopTweet GB/s > Higher Is Better a . 7.21 |==================================================================== b . 7.27 |===================================================================== simdjson 3.10 Throughput Test: LargeRandom GB/s > Higher Is Better a . 1.25 |==================================================================== b . 1.26 |===================================================================== simdjson 3.10 Throughput Test: PartialTweets GB/s > Higher Is Better a . 6.55 |==================================================================== b . 6.62 |===================================================================== simdjson 3.10 Throughput Test: DistinctUserID GB/s > Higher Is Better a . 6.66 |===================================================================== b . 6.56 |==================================================================== Renaissance 0.16 Test: Scala Dotty ms < Lower Is Better a . 801.9 |==================================================================== b . 751.0 |================================================================ Renaissance 0.16 Test: Random Forest ms < Lower Is Better a . 788.0 |==================================================================== b . 713.7 |============================================================== Renaissance 0.16 Test: ALS Movie Lens ms < Lower Is Better a . 25095.1 |================================================================= b . 25588.8 |================================================================== Renaissance 0.16 Test: Apache Spark ALS ms < Lower Is Better Renaissance 0.16 Test: Apache Spark Bayes ms < Lower Is Better a . 260.0 |==================================================================== b . 250.5 |================================================================== Renaissance 0.16 Test: Savina Reactors.IO ms < Lower Is Better a . 10442.4 |============================================================= b . 11336.1 |================================================================== Renaissance 0.16 Test: Apache Spark PageRank ms < Lower Is Better a . 3766.0 |=================================================================== b . 3793.3 |=================================================================== Renaissance 0.16 Test: Finagle HTTP Requests ms < Lower Is Better a . 3928.6 |=================================================================== b . 3928.4 |=================================================================== Renaissance 0.16 Test: Gaussian Mixture Model ms < Lower Is Better a . 4435.4 |=================================================================== b . 4406.8 |=================================================================== Renaissance 0.16 Test: In-Memory Database Shootout ms < Lower Is Better a . 6745.9 |================================================================ b . 7016.4 |=================================================================== Renaissance 0.16 Test: Akka Unbalanced Cobwebbed Tree ms < Lower Is Better a . 18669.0 |=============================================================== b . 19497.4 |================================================================== Renaissance 0.16 Test: Genetic Algorithm Using Jenetics + Futures ms < Lower Is Better a . 2237.2 |================================================================== b . 2264.2 |=================================================================== BYTE Unix Benchmark 5.1.3-git Computational Test: Pipe LPS > Higher Is Better a . 58878998.0 |=============================================================== b . 58867931.7 |=============================================================== BYTE Unix Benchmark 5.1.3-git Computational Test: Dhrystone 2 LPS > Higher Is Better a . 2867577563.1 |============================================================= b . 2856294482.0 |============================================================= BYTE Unix Benchmark 5.1.3-git Computational Test: System Call LPS > Higher Is Better a . 47042441.2 |=============================================================== b . 47036981.1 |=============================================================== BYTE Unix Benchmark 5.1.3-git Computational Test: Whetstone Double MWIPS > Higher Is Better a . 500231.6 |================================================================= b . 499902.4 |================================================================= LZ4 Compression 1.10 Compression Level: 1 - Compression Speed MB/s > Higher Is Better a . 695.86 |=================================================================== b . 695.34 |=================================================================== LZ4 Compression 1.10 Compression Level: 1 - Decompression Speed MB/s > Higher Is Better a . 4460.4 |=================================================================== b . 4459.3 |=================================================================== LZ4 Compression 1.10 Compression Level: 2 - Compression Speed MB/s > Higher Is Better a . 315.74 |=================================================================== b . 316.56 |=================================================================== LZ4 Compression 1.10 Compression Level: 2 - Decompression Speed MB/s > Higher Is Better a . 3856.4 |=================================================================== b . 3854.3 |=================================================================== LZ4 Compression 1.10 Compression Level: 3 - Compression Speed MB/s > Higher Is Better a . 107.13 |=================================================================== b . 107.11 |=================================================================== LZ4 Compression 1.10 Compression Level: 3 - Decompression Speed MB/s > Higher Is Better a . 4031.0 |=================================================================== b . 4037.8 |=================================================================== LZ4 Compression 1.10 Compression Level: 9 - Compression Speed MB/s > Higher Is Better a . 36.67 |==================================================================== b . 36.78 |==================================================================== LZ4 Compression 1.10 Compression Level: 9 - Decompression Speed MB/s > Higher Is Better a . 4217.5 |=================================================================== b . 4226.5 |=================================================================== LZ4 Compression 1.10 Compression Level: 12 - Compression Speed MB/s > Higher Is Better a . 12.70 |==================================================================== b . 12.65 |==================================================================== LZ4 Compression 1.10 Compression Level: 12 - Decompression Speed MB/s > Higher Is Better a . 4331.0 |=================================================================== b . 4310.1 |=================================================================== WebP Image Encode 1.4 Encode Settings: Default MP/s > Higher Is Better a . 18.60 |==================================================================== b . 17.33 |=============================================================== WebP Image Encode 1.4 Encode Settings: Quality 100 MP/s > Higher Is Better a . 11.30 |=================================================================== b . 11.42 |==================================================================== WebP Image Encode 1.4 Encode Settings: Quality 100, Lossless MP/s > Higher Is Better a . 1.44 |===================================================================== b . 1.45 |===================================================================== WebP Image Encode 1.4 Encode Settings: Quality 100, Highest Compression MP/s > Higher Is Better a . 3.60 |===================================================================== b . 3.60 |===================================================================== WebP Image Encode 1.4 Encode Settings: Quality 100, Lossless, Highest Compression MP/s > Higher Is Better a . 0.57 |===================================================================== b . 0.57 |===================================================================== srsRAN Project 24.10 Test: PDSCH Processor Benchmark, Throughput Total Mbps > Higher Is Better a . 40641.5 |================================================================ b . 41979.9 |================================================================== srsRAN Project 24.10 Test: PUSCH Processor Benchmark, Throughput Total Mbps > Higher Is Better a . 2260.8 |=================================================================== b . 2260.2 |=================================================================== SVT-AV1 2.3 Encoder Mode: Preset 3 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 9.588 |==================================================================== b . 9.555 |==================================================================== SVT-AV1 2.3 Encoder Mode: Preset 5 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 31.93 |==================================================================== b . 32.16 |==================================================================== SVT-AV1 2.3 Encoder Mode: Preset 8 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 91.14 |==================================================================== b . 91.17 |==================================================================== SVT-AV1 2.3 Encoder Mode: Preset 13 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 184.52 |=================================================================== b . 166.11 |============================================================ SVT-AV1 2.3 Encoder Mode: Preset 3 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 26.32 |==================================================================== b . 26.27 |==================================================================== SVT-AV1 2.3 Encoder Mode: Preset 5 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 84.19 |==================================================================== b . 84.52 |==================================================================== SVT-AV1 2.3 Encoder Mode: Preset 8 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 243.70 |=================================================================== b . 244.44 |=================================================================== SVT-AV1 2.3 Encoder Mode: Preset 13 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 529.37 |=================================================================== b . 505.64 |================================================================ uvg266 0.8.0 Video Input: Bosphorus 4K - Video Preset: Slow Frames Per Second > Higher Is Better a . 15.47 |==================================================================== b . 15.46 |==================================================================== uvg266 0.8.0 Video Input: Bosphorus 4K - Video Preset: Medium Frames Per Second > Higher Is Better a . 17.14 |==================================================================== b . 17.11 |==================================================================== uvg266 0.8.0 Video Input: Bosphorus 1080p - Video Preset: Slow Frames Per Second > Higher Is Better a . 44.16 |==================================================================== b . 43.99 |==================================================================== uvg266 0.8.0 Video Input: Bosphorus 1080p - Video Preset: Medium Frames Per Second > Higher Is Better a . 48.47 |==================================================================== b . 48.59 |==================================================================== uvg266 0.8.0 Video Input: Bosphorus 4K - Video Preset: Very Fast Frames Per Second > Higher Is Better a . 38.45 |==================================================================== b . 38.35 |==================================================================== uvg266 0.8.0 Video Input: Bosphorus 4K - Video Preset: Super Fast Frames Per Second > Higher Is Better a . 39.26 |==================================================================== b . 39.55 |==================================================================== uvg266 0.8.0 Video Input: Bosphorus 4K - Video Preset: Ultra Fast Frames Per Second > Higher Is Better a . 42.08 |==================================================================== b . 41.85 |==================================================================== uvg266 0.8.0 Video Input: Bosphorus 1080p - Video Preset: Very Fast Frames Per Second > Higher Is Better a . 121.30 |================================================================== b . 123.34 |=================================================================== uvg266 0.8.0 Video Input: Bosphorus 1080p - Video Preset: Super Fast Frames Per Second > Higher Is Better a . 131.92 |================================================================== b . 133.52 |=================================================================== uvg266 0.8.0 Video Input: Bosphorus 1080p - Video Preset: Ultra Fast Frames Per Second > Higher Is Better a . 143.36 |=================================================================== b . 141.19 |================================================================== VVenC 1.13 Video Input: Bosphorus 4K - Video Preset: Fast Frames Per Second > Higher Is Better a . 6.979 |==================================================================== b . 6.928 |==================================================================== VVenC 1.13 Video Input: Bosphorus 4K - Video Preset: Faster Frames Per Second > Higher Is Better a . 13.23 |================================================================== b . 13.63 |==================================================================== VVenC 1.13 Video Input: Bosphorus 1080p - Video Preset: Fast Frames Per Second > Higher Is Better a . 19.41 |================================================================== b . 19.94 |==================================================================== VVenC 1.13 Video Input: Bosphorus 1080p - Video Preset: Faster Frames Per Second > Higher Is Better a . 40.00 |==================================================================== b . 39.21 |=================================================================== x265 4.1 Video Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 30.76 |==================================================================== b . 29.69 |================================================================== x265 4.1 Video Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 87.75 |==================================================================== b . 85.50 |================================================================== x265 Video Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 26.13 |==================================================================== b . 25.79 |=================================================================== x265 Video Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 76.04 |==================================================================== b . 76.17 |==================================================================== ACES DGEMM 1.0 Sustained Floating-Point Rate GFLOP/s > Higher Is Better a . 1704.04 |================================================================== b . 1711.89 |================================================================== Intel Open Image Denoise 2.3 Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only Images / Sec > Higher Is Better a . 1.41 |===================================================================== b . 1.41 |===================================================================== Intel Open Image Denoise 2.3 Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only Images / Sec > Higher Is Better a . 1.41 |===================================================================== b . 1.41 |===================================================================== Intel Open Image Denoise 2.3 Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only Images / Sec > Higher Is Better a . 0.67 |===================================================================== b . 0.67 |===================================================================== OSPRay 3.2 Benchmark: particle_volume/ao/real_time Items Per Second > Higher Is Better a . 12.86 |=================================================================== b . 12.98 |==================================================================== OSPRay 3.2 Benchmark: particle_volume/scivis/real_time Items Per Second > Higher Is Better a . 12.95 |==================================================================== b . 12.92 |==================================================================== OSPRay 3.2 Benchmark: particle_volume/pathtracer/real_time Items Per Second > Higher Is Better a . 192.69 |=================================================================== b . 191.88 |=================================================================== OSPRay 3.2 Benchmark: gravity_spheres_volume/dim_512/ao/real_time Items Per Second > Higher Is Better a . 10.51 |==================================================================== b . 10.45 |==================================================================== OSPRay 3.2 Benchmark: gravity_spheres_volume/dim_512/scivis/real_time Items Per Second > Higher Is Better a . 10.30 |=================================================================== b . 10.38 |==================================================================== OSPRay 3.2 Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time Items Per Second > Higher Is Better a . 12.35 |==================================================================== b . 12.37 |==================================================================== 7-Zip Compression 24.05 Test: Compression Rating MIPS > Higher Is Better a . 256434 |=================================================================== b . 251980 |================================================================== 7-Zip Compression 24.05 Test: Decompression Rating MIPS > Higher Is Better a . 239848 |================================================================= b . 248785 |=================================================================== 7-Zip Compression MIPS > Higher Is Better Stockfish 17 Chess Benchmark Nodes Per Second > Higher Is Better a . 100001520 |============================================================= b . 104118302 |================================================================ Timed Node.js Compilation 21.7.2 Time To Compile Seconds < Lower Is Better a . 273.33 |=================================================================== b . 274.01 |=================================================================== Timed PHP Compilation 8.3.4 Time To Compile Seconds < Lower Is Better a . 44.66 |==================================================================== b . 44.32 |=================================================================== Build2 0.17 Time To Compile Seconds < Lower Is Better a . 80.40 |=================================================================== b . 81.36 |==================================================================== C-Ray 2.0 Resolution: 4K - Rays Per Pixel: 16 Seconds < Lower Is Better a . 74.73 |==================================================================== b . 74.65 |==================================================================== C-Ray 2.0 Resolution: 5K - Rays Per Pixel: 16 Seconds < Lower Is Better a . 132.73 |=================================================================== b . 132.73 |=================================================================== C-Ray 2.0 Resolution: 1080p - Rays Per Pixel: 16 Seconds < Lower Is Better a . 18.84 |==================================================================== b . 18.85 |==================================================================== Primesieve 12.6 Length: 1e12 Seconds < Lower Is Better a . 4.150 |==================================================================== b . 4.151 |==================================================================== Primesieve 12.6 Length: 1e13 Seconds < Lower Is Better a . 50.27 |==================================================================== b . 50.28 |==================================================================== Y-Cruncher 0.8.5 Pi Digits To Calculate: 1B Seconds < Lower Is Better a . 9.230 |==================================================================== b . 9.166 |==================================================================== Y-Cruncher 0.8.5 Pi Digits To Calculate: 5B Seconds < Lower Is Better a . 52.86 |==================================================================== b . 52.08 |=================================================================== Y-Cruncher 0.8.5 Pi Digits To Calculate: 500M Seconds < Lower Is Better a . 4.485 |==================================================================== b . 4.502 |==================================================================== oneDNN 3.6 Harness: IP Shapes 1D - Engine: CPU ms < Lower Is Better a . 0.877683 |================================================================= b . 0.875916 |================================================================= oneDNN 3.6 Harness: IP Shapes 3D - Engine: CPU ms < Lower Is Better a . 0.724443 |================================================================= b . 0.718503 |================================================================ oneDNN 3.6 Harness: Convolution Batch Shapes Auto - Engine: CPU ms < Lower Is Better a . 1.09519 |================================================================== b . 1.10013 |================================================================== oneDNN 3.6 Harness: Deconvolution Batch shapes_1d - Engine: CPU ms < Lower Is Better a . 5.80994 |================================================================== b . 5.70868 |================================================================= oneDNN 3.6 Harness: Deconvolution Batch shapes_3d - Engine: CPU ms < Lower Is Better a . 1.72958 |================================================================== b . 1.73590 |================================================================== oneDNN 3.6 Harness: Recurrent Neural Network Training - Engine: CPU ms < Lower Is Better a . 806.40 |================================================================== b . 821.07 |=================================================================== oneDNN 3.6 Harness: Recurrent Neural Network Inference - Engine: CPU ms < Lower Is Better a . 458.25 |=================================================================== b . 457.56 |=================================================================== Timed Eigen Compilation 3.4.0 Time To Compile Seconds < Lower Is Better a . 42.21 |==================================================================== b . 40.79 |================================================================== Rustls 0.23.17 Benchmark: handshake - Suite: TLS_ECDHE_RSA_WITH_AES_128_GCM_SHA256 handshakes/s > Higher Is Better a . 82026.08 |================================================================= b . 81973.92 |================================================================= Rustls 0.23.17 Benchmark: handshake - Suite: TLS_ECDHE_ECDSA_WITH_AES_256_GCM_SHA384 handshakes/s > Higher Is Better a . 401303.16 |================================================================ b . 387481.69 |============================================================== Rustls 0.23.17 Benchmark: handshake-resume - Suite: TLS_ECDHE_RSA_WITH_AES_128_GCM_SHA256 handshakes/s > Higher Is Better a . 2683018.02 |=============================================================== b . 2675450.81 |=============================================================== Rustls 0.23.17 Benchmark: handshake-ticket - Suite: TLS_ECDHE_RSA_WITH_AES_128_GCM_SHA256 handshakes/s > Higher Is Better a . 1952598.53 |=============================================================== b . 1965288.44 |=============================================================== Rustls 0.23.17 Benchmark: handshake-resume - Suite: TLS_ECDHE_ECDSA_WITH_AES_256_GCM_SHA384 handshakes/s > Higher Is Better a . 1663749.32 |============================================================== b . 1681659.16 |=============================================================== Rustls 0.23.17 Benchmark: handshake-ticket - Suite: TLS_ECDHE_ECDSA_WITH_AES_256_GCM_SHA384 handshakes/s > Higher Is Better a . 1342172.28 |=============================================================== b . 1340803.72 |=============================================================== Cpuminer-Opt 24.3 Algorithm: Magi kH/s > Higher Is Better a . 952.87 |=================================================================== b . 958.57 |=================================================================== Cpuminer-Opt 24.3 Algorithm: x20r kH/s > Higher Is Better a . 12480 |=================================================================== b . 12750 |==================================================================== Cpuminer-Opt 24.3 Algorithm: scrypt kH/s > Higher Is Better a . 482.67 |=================================================================== b . 482.56 |=================================================================== Cpuminer-Opt 24.3 Algorithm: Deepcoin kH/s > Higher Is Better a . 13680 |==================================================================== b . 13690 |==================================================================== Cpuminer-Opt 24.3 Algorithm: Ringcoin kH/s > Higher Is Better a . 5108.30 |================================================================== b . 5092.89 |================================================================== Cpuminer-Opt 24.3 Algorithm: Blake-2 S kH/s > Higher Is Better a . 220790 |=================================================================== b . 220810 |=================================================================== Cpuminer-Opt 24.3 Algorithm: Garlicoin kH/s > Higher Is Better a . 7384.28 |================================================================== b . 6969.32 |============================================================== Cpuminer-Opt 24.3 Algorithm: Skeincoin kH/s > Higher Is Better a . 67110 |==================================================================== b . 67110 |==================================================================== Cpuminer-Opt 24.3 Algorithm: Myriad-Groestl kH/s > Higher Is Better a . 17760 |==================================================================== b . 17760 |==================================================================== Cpuminer-Opt 24.3 Algorithm: LBC, LBRY Credits kH/s > Higher Is Better a . 24690 |==================================================================== b . 24690 |==================================================================== Cpuminer-Opt 24.3 Algorithm: Quad SHA-256, Pyrite kH/s > Higher Is Better a . 102660 |=================================================================== b . 102640 |=================================================================== Cpuminer-Opt 24.3 Algorithm: Triple SHA-256, Onecoin kH/s > Higher Is Better a . 121450 |=================================================================== b . 121600 |=================================================================== OpenSSL 3.3 Algorithm: SHA256 byte/s > Higher Is Better a . 52436660260 |============================================================== b . 52440112330 |============================================================== OpenSSL 3.3 Algorithm: SHA512 byte/s > Higher Is Better a . 16971437080 |============================================================== b . 16971041430 |============================================================== OpenSSL 3.3 Algorithm: RSA4096 sign/s > Higher Is Better a . 22944.9 |================================================================== b . 22944.6 |================================================================== OpenSSL 3.3 Algorithm: RSA4096 verify/s > Higher Is Better a . 558789.7 |================================================================= b . 558659.8 |================================================================= OpenSSL 3.3 Algorithm: ChaCha20 byte/s > Higher Is Better a . 198651380530 |============================================================= b . 198407362970 |============================================================= OpenSSL 3.3 Algorithm: AES-128-GCM byte/s > Higher Is Better a . 393314332400 |============================================================= b . 393393574980 |============================================================= OpenSSL 3.3 Algorithm: AES-256-GCM byte/s > Higher Is Better a . 335590591420 |============================================================= b . 335400128510 |============================================================= OpenSSL 3.3 Algorithm: ChaCha20-Poly1305 byte/s > Higher Is Better a . 141481760360 |============================================================= b . 141469554280 |============================================================= OpenSSL Algorithm: SHA256 byte/s > Higher Is Better a . 52088429500 |============================================================== b . 52220542360 |============================================================== OpenSSL Algorithm: SHA512 byte/s > Higher Is Better a . 16883923960 |============================================================== b . 16881854110 |============================================================== OpenSSL Algorithm: RSA4096 OpenSSL Algorithm: ChaCha20 byte/s > Higher Is Better a . 198630347840 |============================================================= b . 198638149630 |============================================================= OpenSSL Algorithm: AES-128-GCM byte/s > Higher Is Better a . 391651514500 |============================================================= b . 392446885890 |============================================================= OpenSSL Algorithm: AES-256-GCM byte/s > Higher Is Better a . 334767993920 |============================================================= b . 334753808110 |============================================================= OpenSSL Algorithm: ChaCha20-Poly1305 byte/s > Higher Is Better a . 141514205590 |============================================================= b . 141522365640 |============================================================= ASTC Encoder 5.0 Preset: Fast MT/s > Higher Is Better a . 534.84 |=================================================================== b . 534.56 |=================================================================== ASTC Encoder 5.0 Preset: Medium MT/s > Higher Is Better a . 221.82 |=================================================================== b . 221.83 |=================================================================== ASTC Encoder 5.0 Preset: Thorough MT/s > Higher Is Better a . 29.80 |==================================================================== b . 29.83 |==================================================================== ASTC Encoder 5.0 Preset: Exhaustive MT/s > Higher Is Better a . 2.5106 |=================================================================== b . 2.5098 |=================================================================== ASTC Encoder 5.0 Preset: Very Thorough MT/s > Higher Is Better a . 4.1034 |=================================================================== b . 4.1055 |=================================================================== GROMACS Input: water_GMX50_bare Ns Per Day > Higher Is Better a . 3.837 |==================================================================== b . 3.862 |==================================================================== LiteRT 2024-10-15 Model: DeepLab V3 Microseconds < Lower Is Better a . 4985.32 |================================================================= b . 5073.41 |================================================================== LiteRT 2024-10-15 Model: SqueezeNet Microseconds < Lower Is Better a . 3102.45 |================================================================== b . 3060.90 |================================================================= LiteRT 2024-10-15 Model: Inception V4 Microseconds < Lower Is Better a . 23103.8 |================================================================== b . 22746.1 |================================================================= LiteRT 2024-10-15 Model: NASNet Mobile Microseconds < Lower Is Better a . 42858.2 |========================================================== b . 48856.7 |================================================================== LiteRT 2024-10-15 Model: Mobilenet Float Microseconds < Lower Is Better a . 2057.94 |================================================================== b . 2020.43 |================================================================= LiteRT 2024-10-15 Model: Mobilenet Quant Microseconds < Lower Is Better a . 1747.96 |================================================================== b . 1708.44 |================================================================= LiteRT 2024-10-15 Model: Inception ResNet V2 Microseconds < Lower Is Better a . 26499.5 |================================================================== b . 26503.6 |================================================================== LiteRT 2024-10-15 Model: Quantized COCO SSD MobileNet v1 Microseconds < Lower Is Better a . 3245.22 |================================================================== b . 3213.83 |================================================================= Stress-NG 0.17.08 Test: CPU Stress Bogo Ops/s > Higher Is Better a . 83077.92 |================================================================ b . 83768.42 |================================================================= Stress-NG 0.17.08 Test: Socket Activity Bogo Ops/s > Higher Is Better a . 17142.77 |================================================================= b . 17128.52 |================================================================= Stress-NG 0.17.08 Test: Context Switching Bogo Ops/s > Higher Is Better a . 7693259.49 |============================================================== b . 7764860.59 |=============================================================== Stress-NG 0.17.08 Test: Radix String Sort Bogo Ops/s > Higher Is Better a . 739.37 |=================================================================== b . 738.70 |=================================================================== Stress-NG 0.17.08 Test: Bitonic Integer Sort Bogo Ops/s > Higher Is Better a . 385.60 |=================================================================== b . 385.56 |=================================================================== XNNPACK b7b048 Model: FP32MobileNetV1 us < Lower Is Better a . 2145 |===================================================================== b . 2101 |==================================================================== XNNPACK b7b048 Model: FP32MobileNetV2 us < Lower Is Better a . 3628 |=================================================================== b . 3733 |===================================================================== XNNPACK b7b048 Model: FP32MobileNetV3Large us < Lower Is Better a . 5319 |=================================================================== b . 5500 |===================================================================== XNNPACK b7b048 Model: FP32MobileNetV3Small us < Lower Is Better a . 4008 |===================================================================== b . 3963 |==================================================================== XNNPACK b7b048 Model: FP16MobileNetV1 us < Lower Is Better a . 2095 |===================================================================== b . 2040 |=================================================================== XNNPACK b7b048 Model: FP16MobileNetV2 us < Lower Is Better a . 3458 |===================================================================== b . 3358 |=================================================================== XNNPACK b7b048 Model: FP16MobileNetV3Large us < Lower Is Better a . 5309 |===================================================================== b . 4990 |================================================================= XNNPACK b7b048 Model: FP16MobileNetV3Small us < Lower Is Better a . 3878 |===================================================================== b . 3694 |================================================================== XNNPACK b7b048 Model: QS8MobileNetV2 us < Lower Is Better a . 3611 |===================================================================== b . 3547 |==================================================================== Blender 4.3 Blend File: BMW27 - Compute: CPU-Only Seconds < Lower Is Better a . 36.74 |==================================================================== b . 36.36 |=================================================================== Blender 4.3 Blend File: Junkshop - Compute: CPU-Only Seconds < Lower Is Better a . 52.71 |==================================================================== b . 52.82 |==================================================================== Blender 4.3 Blend File: Classroom - Compute: CPU-Only Seconds < Lower Is Better a . 95.81 |==================================================================== b . 95.74 |==================================================================== Blender 4.3 Blend File: Fishy Cat - Compute: CPU-Only Seconds < Lower Is Better a . 48.58 |==================================================================== b . 48.71 |==================================================================== Blender 4.3 Blend File: Barbershop - Compute: CPU-Only Seconds < Lower Is Better a . 361.09 |=================================================================== b . 361.47 |=================================================================== Blender 4.3 Blend File: Pabellon Barcelona - Compute: CPU-Only Seconds < Lower Is Better a . 115.05 |=================================================================== b . 114.62 |=================================================================== OpenVINO 2024.5 Model: Face Detection FP16 - Device: CPU FPS > Higher Is Better a . 20.83 |==================================================================== b . 20.84 |==================================================================== OpenVINO 2024.5 Model: Face Detection FP16 - Device: CPU ms < Lower Is Better a . 383.43 |=================================================================== b . 383.38 |=================================================================== OpenVINO 2024.5 Model: Person Detection FP16 - Device: CPU FPS > Higher Is Better a . 209.35 |=================================================================== b . 209.68 |=================================================================== OpenVINO 2024.5 Model: Person Detection FP16 - Device: CPU ms < Lower Is Better a . 38.19 |==================================================================== b . 38.13 |==================================================================== OpenVINO 2024.5 Model: Person Detection FP32 - Device: CPU FPS > Higher Is Better a . 209.21 |=================================================================== b . 209.24 |=================================================================== OpenVINO 2024.5 Model: Person Detection FP32 - Device: CPU ms < Lower Is Better a . 38.20 |==================================================================== b . 38.21 |==================================================================== OpenVINO 2024.5 Model: Vehicle Detection FP16 - Device: CPU FPS > Higher Is Better a . 1547.61 |================================================================== b . 1551.35 |================================================================== OpenVINO 2024.5 Model: Vehicle Detection FP16 - Device: CPU ms < Lower Is Better a . 5.14 |===================================================================== b . 5.13 |===================================================================== OpenVINO 2024.5 Model: Face Detection FP16-INT8 - Device: CPU FPS > Higher Is Better a . 39.12 |==================================================================== b . 39.10 |==================================================================== OpenVINO 2024.5 Model: Face Detection FP16-INT8 - Device: CPU ms < Lower Is Better a . 204.27 |=================================================================== b . 204.28 |=================================================================== OpenVINO 2024.5 Model: Face Detection Retail FP16 - Device: CPU FPS > Higher Is Better a . 4519.36 |================================================================== b . 4523.45 |================================================================== OpenVINO 2024.5 Model: Face Detection Retail FP16 - Device: CPU ms < Lower Is Better a . 1.76 |===================================================================== b . 1.76 |===================================================================== OpenVINO 2024.5 Model: Road Segmentation ADAS FP16 - Device: CPU FPS > Higher Is Better a . 676.10 |=================================================================== b . 674.27 |=================================================================== OpenVINO 2024.5 Model: Road Segmentation ADAS FP16 - Device: CPU ms < Lower Is Better a . 11.82 |==================================================================== b . 11.84 |==================================================================== OpenVINO 2024.5 Model: Vehicle Detection FP16-INT8 - Device: CPU FPS > Higher Is Better a . 2233.42 |================================================================== b . 2234.86 |================================================================== OpenVINO 2024.5 Model: Vehicle Detection FP16-INT8 - Device: CPU ms < Lower Is Better a . 3.56 |===================================================================== b . 3.56 |===================================================================== OpenVINO 2024.5 Model: Weld Porosity Detection FP16 - Device: CPU FPS > Higher Is Better a . 2032.87 |================================================================== b . 2031.11 |================================================================== OpenVINO 2024.5 Model: Weld Porosity Detection FP16 - Device: CPU ms < Lower Is Better a . 15.72 |==================================================================== b . 15.72 |==================================================================== OpenVINO 2024.5 Model: Face Detection Retail FP16-INT8 - Device: CPU FPS > Higher Is Better a . 6810.88 |================================================================== b . 6820.14 |================================================================== OpenVINO 2024.5 Model: Face Detection Retail FP16-INT8 - Device: CPU ms < Lower Is Better a . 4.67 |===================================================================== b . 4.66 |===================================================================== OpenVINO 2024.5 Model: Road Segmentation ADAS FP16-INT8 - Device: CPU FPS > Higher Is Better a . 740.54 |=================================================================== b . 740.04 |=================================================================== OpenVINO 2024.5 Model: Road Segmentation ADAS FP16-INT8 - Device: CPU ms < Lower Is Better a . 10.78 |==================================================================== b . 10.80 |==================================================================== OpenVINO 2024.5 Model: Machine Translation EN To DE FP16 - Device: CPU FPS > Higher Is Better a . 216.75 |=================================================================== b . 216.55 |=================================================================== OpenVINO 2024.5 Model: Machine Translation EN To DE FP16 - Device: CPU ms < Lower Is Better a . 36.89 |==================================================================== b . 36.93 |==================================================================== OpenVINO 2024.5 Model: Weld Porosity Detection FP16-INT8 - Device: CPU FPS > Higher Is Better a . 3909.50 |================================================================== b . 3912.36 |================================================================== OpenVINO 2024.5 Model: Weld Porosity Detection FP16-INT8 - Device: CPU ms < Lower Is Better a . 8.16 |===================================================================== b . 8.15 |===================================================================== OpenVINO 2024.5 Model: Person Vehicle Bike Detection FP16 - Device: CPU FPS > Higher Is Better a . 1939.89 |================================================================== b . 1945.30 |================================================================== OpenVINO 2024.5 Model: Person Vehicle Bike Detection FP16 - Device: CPU ms < Lower Is Better a . 4.11 |===================================================================== b . 4.10 |===================================================================== OpenVINO 2024.5 Model: Noise Suppression Poconet-Like FP16 - Device: CPU FPS > Higher Is Better a . 2676.03 |================================================================== b . 2676.83 |================================================================== OpenVINO 2024.5 Model: Noise Suppression Poconet-Like FP16 - Device: CPU ms < Lower Is Better a . 11.82 |==================================================================== b . 11.81 |==================================================================== OpenVINO 2024.5 Model: Handwritten English Recognition FP16 - Device: CPU FPS > Higher Is Better a . 1003.55 |================================================================== b . 1005.94 |================================================================== OpenVINO 2024.5 Model: Handwritten English Recognition FP16 - Device: CPU ms < Lower Is Better a . 31.85 |==================================================================== b . 31.78 |==================================================================== OpenVINO 2024.5 Model: Person Re-Identification Retail FP16 - Device: CPU FPS > Higher Is Better a . 2362.71 |================================================================== b . 2363.42 |================================================================== OpenVINO 2024.5 Model: Person Re-Identification Retail FP16 - Device: CPU ms < Lower Is Better a . 3.38 |===================================================================== b . 3.37 |===================================================================== OpenVINO 2024.5 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU FPS > Higher Is Better a . 60277.78 |================================================================= b . 60327.61 |================================================================= OpenVINO 2024.5 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU ms < Lower Is Better a . 0.52 |===================================================================== b . 0.52 |===================================================================== OpenVINO 2024.5 Model: Handwritten English Recognition FP16-INT8 - Device: CPU FPS > Higher Is Better a . 1068.15 |================================================================== b . 1066.68 |================================================================== OpenVINO 2024.5 Model: Handwritten English Recognition FP16-INT8 - Device: CPU ms < Lower Is Better a . 29.92 |==================================================================== b . 29.97 |==================================================================== OpenVINO 2024.5 Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU FPS > Higher Is Better a . 89464.75 |================================================================= b . 89738.80 |================================================================= OpenVINO 2024.5 Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU ms < Lower Is Better a . 0.34 |===================================================================== b . 0.34 |===================================================================== Apache Cassandra 5.0 Test: Writes Op/s > Higher Is Better ONNX Runtime 1.19 Model: GPT-2 - Device: CPU - Executor: Standard Inferences Per Second > Higher Is Better a . 138.70 |=================================================================== b . 130.76 |=============================================================== ONNX Runtime 1.19 Model: GPT-2 - Device: CPU - Executor: Standard Inference Time Cost (ms) < Lower Is Better a . 7.20440 |============================================================== b . 7.64339 |================================================================== ONNX Runtime 1.19 Model: yolov4 - Device: CPU - Executor: Standard Inferences Per Second > Higher Is Better a . 6.98157 |====================================================== b . 8.59803 |================================================================== ONNX Runtime 1.19 Model: yolov4 - Device: CPU - Executor: Standard Inference Time Cost (ms) < Lower Is Better a . 143.23 |=================================================================== b . 116.30 |====================================================== ONNX Runtime 1.19 Model: ZFNet-512 - Device: CPU - Executor: Standard Inferences Per Second > Higher Is Better a . 123.61 |================================================================== b . 125.38 |=================================================================== ONNX Runtime 1.19 Model: ZFNet-512 - Device: CPU - Executor: Standard Inference Time Cost (ms) < Lower Is Better a . 8.08821 |================================================================== b . 7.97344 |================================================================= ONNX Runtime 1.19 Model: T5 Encoder - Device: CPU - Executor: Standard Inferences Per Second > Higher Is Better a . 261.65 |=================================================================== b . 263.01 |=================================================================== ONNX Runtime 1.19 Model: T5 Encoder - Device: CPU - Executor: Standard Inference Time Cost (ms) < Lower Is Better a . 3.82017 |================================================================== b . 3.80081 |================================================================== ONNX Runtime 1.19 Model: bertsquad-12 - Device: CPU - Executor: Standard Inferences Per Second > Higher Is Better a . 13.85 |==================================================================== b . 13.93 |==================================================================== ONNX Runtime 1.19 Model: bertsquad-12 - Device: CPU - Executor: Standard Inference Time Cost (ms) < Lower Is Better a . 72.21 |==================================================================== b . 71.77 |==================================================================== ONNX Runtime 1.19 Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard Inferences Per Second > Higher Is Better a . 584.30 |=================================================================== b . 580.47 |=================================================================== ONNX Runtime 1.19 Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard Inference Time Cost (ms) < Lower Is Better a . 1.71077 |================================================================== b . 1.72194 |================================================================== ONNX Runtime 1.19 Model: fcn-resnet101-11 - Device: CPU - Executor: Standard Inferences Per Second > Higher Is Better a . 3.66520 |========================================================== b . 4.16952 |================================================================== ONNX Runtime 1.19 Model: fcn-resnet101-11 - Device: CPU - Executor: Standard Inference Time Cost (ms) < Lower Is Better a . 272.83 |=================================================================== b . 239.83 |=========================================================== ONNX Runtime 1.19 Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard Inferences Per Second > Higher Is Better a . 29.69 |================================================================= b . 31.06 |==================================================================== ONNX Runtime 1.19 Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard Inference Time Cost (ms) < Lower Is Better a . 33.68 |==================================================================== b . 32.19 |================================================================= ONNX Runtime 1.19 Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard Inferences Per Second > Higher Is Better a . 222.67 |=================================================================== b . 220.75 |================================================================== ONNX Runtime 1.19 Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard Inference Time Cost (ms) < Lower Is Better a . 4.48901 |================================================================= b . 4.52770 |================================================================== ONNX Runtime 1.19 Model: super-resolution-10 - Device: CPU - Executor: Standard Inferences Per Second > Higher Is Better a . 99.67 |==================================================================== b . 98.72 |=================================================================== ONNX Runtime 1.19 Model: super-resolution-10 - Device: CPU - Executor: Standard Inference Time Cost (ms) < Lower Is Better a . 10.03 |=================================================================== b . 10.13 |==================================================================== ONNX Runtime 1.19 Model: ResNet101_DUC_HDC-12 - Device: CPU - Executor: Standard Inferences Per Second > Higher Is Better a . 1.67151 |========================================================= b . 1.94512 |================================================================== ONNX Runtime 1.19 Model: ResNet101_DUC_HDC-12 - Device: CPU - Executor: Standard Inference Time Cost (ms) < Lower Is Better a . 598.26 |=================================================================== b . 514.10 |========================================================== ONNX Runtime 1.19 Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard Inferences Per Second > Higher Is Better a . 33.75 |===================================================== b . 43.42 |==================================================================== ONNX Runtime 1.19 Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard Inference Time Cost (ms) < Lower Is Better a . 29.63 |==================================================================== b . 23.03 |===================================================== Whisper.cpp 1.6.2 Model: ggml-base.en - Input: 2016 State of the Union Seconds < Lower Is Better a . 138.26 |=================================================================== b . 134.46 |================================================================= Whisper.cpp 1.6.2 Model: ggml-small.en - Input: 2016 State of the Union Seconds < Lower Is Better a . 287.77 |=================================================================== b . 289.01 |=================================================================== Whisper.cpp 1.6.2 Model: ggml-medium.en - Input: 2016 State of the Union Seconds < Lower Is Better a . 888.01 |=================================================================== b . 884.10 |=================================================================== Whisperfile 20Aug24 Model Size: Tiny Seconds < Lower Is Better a . 50.45 |================================================================== b . 51.75 |==================================================================== Whisperfile 20Aug24 Model Size: Small Seconds < Lower Is Better a . 154.80 |=================================================================== b . 150.91 |================================================================= Whisperfile 20Aug24 Model Size: Medium Seconds < Lower Is Better a . 343.13 |=================================================================== b . 345.49 |=================================================================== Llama.cpp b4154 Backend: CPU BLAS - Model: Llama-3.1-Tulu-3-8B-Q8_0 - Test: Text Generation 128 Tokens Per Second > Higher Is Better a . 25.81 |==================================================================== b . 25.67 |==================================================================== Llama.cpp b4154 Backend: CPU BLAS - Model: Llama-3.1-Tulu-3-8B-Q8_0 - Test: Prompt Processing 1024 Tokens Per Second > Higher Is Better a . 112.18 |=================================================================== b . 96.97 |========================================================== Llama.cpp b4154 Backend: CPU BLAS - Model: Mistral-7B-Instruct-v0.3-Q8_0 - Test: Text Generation 128 Tokens Per Second > Higher Is Better a . 27.16 |==================================================================== b . 27.24 |==================================================================== Llama.cpp b4154 Backend: CPU BLAS - Model: Mistral-7B-Instruct-v0.3-Q8_0 - Test: Prompt Processing 1024 Tokens Per Second > Higher Is Better a . 99.46 |============================================================ b . 110.77 |=================================================================== Llama.cpp b4154 Backend: CPU BLAS - Model: granite-3.0-3b-a800m-instruct-Q8_0 - Test: Text Generation 128 Tokens Per Second > Higher Is Better a . 74.22 |==================================================================== b . 73.02 |=================================================================== Llama.cpp b4154 Backend: CPU BLAS - Model: granite-3.0-3b-a800m-instruct-Q8_0 - Test: Prompt Processing 1024 Tokens Per Second > Higher Is Better a . 267.01 |=================================================================== b . 189.81 |================================================ OpenVINO GenAI 2024.5 Model: Gemma-7b-int4-ov - Device: CPU tokens/s > Higher Is Better a . 20.24 |==================================================================== b . 20.09 |=================================================================== OpenVINO GenAI 2024.5 Model: Gemma-7b-int4-ov - Device: CPU - Time To First Token ms < Lower Is Better a . 115.87 |=================================================================== b . 114.75 |================================================================== OpenVINO GenAI 2024.5 Model: Gemma-7b-int4-ov - Device: CPU - Time Per Output Token ms < Lower Is Better a . 49.41 |==================================================================== b . 49.77 |==================================================================== OpenVINO GenAI 2024.5 Model: TinyLlama-1.1B-Chat-v1.0 - Device: CPU tokens/s > Higher Is Better a . 51.47 |==================================================================== b . 51.35 |==================================================================== OpenVINO GenAI 2024.5 Model: TinyLlama-1.1B-Chat-v1.0 - Device: CPU - Time To First Token ms < Lower Is Better a . 21.71 |=================================================================== b . 21.89 |==================================================================== OpenVINO GenAI 2024.5 Model: TinyLlama-1.1B-Chat-v1.0 - Device: CPU - Time Per Output Token ms < Lower Is Better a . 19.43 |==================================================================== b . 19.47 |==================================================================== OpenVINO GenAI 2024.5 Model: Falcon-7b-instruct-int4-ov - Device: CPU tokens/s > Higher Is Better a . 25.47 |================================================================== b . 26.36 |==================================================================== OpenVINO GenAI 2024.5 Model: Falcon-7b-instruct-int4-ov - Device: CPU - Time To First Token ms < Lower Is Better a . 104.07 |=================================================================== b . 98.97 |================================================================ OpenVINO GenAI 2024.5 Model: Falcon-7b-instruct-int4-ov - Device: CPU - Time Per Output Token ms < Lower Is Better a . 39.26 |==================================================================== b . 37.93 |================================================================== OpenVINO GenAI 2024.5 Model: Phi-3-mini-128k-instruct-int4-ov - Device: CPU tokens/s > Higher Is Better a . 36.58 |==================================================================== b . 36.48 |==================================================================== OpenVINO GenAI 2024.5 Model: Phi-3-mini-128k-instruct-int4-ov - Device: CPU - Time To First Token ms < Lower Is Better a . 58.48 |==================================================================== b . 57.04 |================================================================== OpenVINO GenAI 2024.5 Model: Phi-3-mini-128k-instruct-int4-ov - Device: CPU - Time Per Output Token ms < Lower Is Better a . 27.34 |==================================================================== b . 27.41 |====================================================================