aug11 AMD EPYC 7F32 8-Core testing with a ASRockRack EPYCD8 (P2.40 BIOS) and ASPEED on Debian 12 via the Phoronix Test Suite. a: Processor: AMD EPYC 7F32 8-Core @ 3.70GHz (8 Cores / 16 Threads), Motherboard: ASRockRack EPYCD8 (P2.40 BIOS), Chipset: AMD Starship/Matisse, Memory: 7 x 4 GB DDR4-2666MT/s Micron 9ASF51272PZ-2G6B1, Disk: Samsung SSD 970 EVO Plus 250GB, Graphics: ASPEED, Network: 2 x Intel I350 OS: Debian 12, Kernel: 6.1.0-11-amd64 (x86_64), Display Server: X Server, Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 1024x768 b: Processor: AMD EPYC 7F32 8-Core @ 3.70GHz (8 Cores / 16 Threads), Motherboard: ASRockRack EPYCD8 (P2.40 BIOS), Chipset: AMD Starship/Matisse, Memory: 7 x 4 GB DDR4-2666MT/s Micron 9ASF51272PZ-2G6B1, Disk: Samsung SSD 970 EVO Plus 250GB, Graphics: ASPEED, Network: 2 x Intel I350 OS: Debian 12, Kernel: 6.1.0-11-amd64 (x86_64), Display Server: X Server, Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 1024x768 LeelaChessZero 0.31.1 Backend: BLAS Nodes Per Second > Higher Is Better a . 111 |===================================================================== b . 113 |====================================================================== LeelaChessZero 0.31.1 Backend: Eigen Nodes Per Second > Higher Is Better a . 72 |======================================================================= b . 70 |===================================================================== NAMD 3.0b6 Input: ATPase with 327,506 Atoms ns/day > Higher Is Better a . 0.51342 |================================================================== b . 0.51628 |================================================================== NAMD 3.0b6 Input: STMV with 1,066,628 Atoms ns/day > Higher Is Better a . 0.15843 |================================================================== b . 0.15849 |================================================================== QuantLib 1.35-dev Size: XXS tasks/s > Higher Is Better a . 5.18511 |================================================================= b . 5.25920 |================================================================== simdjson 3.10 Throughput Test: Kostya GB/s > Higher Is Better a . 2.69 |===================================================================== b . 2.69 |===================================================================== simdjson 3.10 Throughput Test: TopTweet GB/s > Higher Is Better a . 3.96 |===================================================================== b . 3.97 |===================================================================== simdjson 3.10 Throughput Test: LargeRandom GB/s > Higher Is Better a . 0.93 |===================================================================== b . 0.93 |===================================================================== simdjson 3.10 Throughput Test: PartialTweets GB/s > Higher Is Better a . 3.67 |===================================================================== b . 3.66 |===================================================================== simdjson 3.10 Throughput Test: DistinctUserID GB/s > Higher Is Better a . 4.01 |===================================================================== b . 4.01 |===================================================================== LZ4 Compression 1.10 Compression Level: 1 - Compression Speed MB/s > Higher Is Better a . 668.62 |=================================================================== b . 668.87 |=================================================================== LZ4 Compression 1.10 Compression Level: 1 - Decompression Speed MB/s > Higher Is Better a . 4224.8 |=================================================================== b . 4251.0 |=================================================================== LZ4 Compression 1.10 Compression Level: 2 - Compression Speed MB/s > Higher Is Better a . 298.74 |=================================================================== b . 298.59 |=================================================================== LZ4 Compression 1.10 Compression Level: 2 - Decompression Speed MB/s > Higher Is Better a . 3665.2 |=================================================================== b . 3675.4 |=================================================================== LZ4 Compression 1.10 Compression Level: 3 - Compression Speed MB/s > Higher Is Better a . 97.55 |==================================================================== b . 96.58 |=================================================================== LZ4 Compression 1.10 Compression Level: 3 - Decompression Speed MB/s > Higher Is Better a . 3845.4 |=================================================================== b . 3868.4 |=================================================================== LZ4 Compression 1.10 Compression Level: 9 - Compression Speed MB/s > Higher Is Better a . 36.42 |==================================================================== b . 36.63 |==================================================================== LZ4 Compression 1.10 Compression Level: 9 - Decompression Speed MB/s > Higher Is Better a . 4038.0 |=================================================================== b . 4053.4 |=================================================================== LZ4 Compression 1.10 Compression Level: 12 - Compression Speed MB/s > Higher Is Better a . 12.15 |==================================================================== b . 12.23 |==================================================================== LZ4 Compression 1.10 Compression Level: 12 - Decompression Speed MB/s > Higher Is Better a . 4099.0 |=================================================================== b . 4102.6 |=================================================================== ACES DGEMM 1.0 Sustained Floating-Point Rate GFLOP/s > Higher Is Better a . 433.15 |=================================================================== b . 434.99 |=================================================================== Intel Open Image Denoise 2.3 Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only Images / Sec > Higher Is Better a . 0.35 |================================================================= b . 0.37 |===================================================================== OSPRay 3.2 Benchmark: particle_volume/ao/real_time Items Per Second > Higher Is Better a . 2.46450 |================================================================== b . 2.45038 |================================================================== OSPRay 3.2 Benchmark: particle_volume/scivis/real_time Items Per Second > Higher Is Better a . 2.43058 |================================================================== b . 2.44630 |================================================================== OSPRay 3.2 Benchmark: particle_volume/pathtracer/real_time Items Per Second > Higher Is Better a . 79.31 |==================================================================== b . 78.71 |=================================================================== OSPRay 3.2 Benchmark: gravity_spheres_volume/dim_512/ao/real_time Items Per Second > Higher Is Better a . 1.07840 |================================================================== b . 1.08369 |================================================================== OSPRay 3.2 Benchmark: gravity_spheres_volume/dim_512/scivis/real_time Items Per Second > Higher Is Better a . 1.03569 |================================================================== b . 1.02501 |================================================================= OSPRay 3.2 Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time Items Per Second > Higher Is Better a . 1.83149 |================================================================== b . 1.83273 |================================================================== 7-Zip Compression MIPS > Higher Is Better Build2 0.17 Time To Compile Seconds < Lower Is Better a . 212.80 |=================================================================== b . 214.12 |=================================================================== Y-Cruncher 0.8.5 Pi Digits To Calculate: 1B Seconds < Lower Is Better a . 47.04 |==================================================================== b . 46.72 |==================================================================== Y-Cruncher 0.8.5 Pi Digits To Calculate: 500M Seconds < Lower Is Better a . 22.29 |==================================================================== b . 21.16 |================================================================= Gcrypt Library 1.10.3 Seconds < Lower Is Better a . 237.43 |=================================================================== b . 238.65 |=================================================================== OpenSSL Algorithm: SHA256 byte/s > Higher Is Better a . 8180428250 |=============================================================== b . 8128782150 |=============================================================== OpenSSL Algorithm: SHA512 byte/s > Higher Is Better a . 3252421220 |========================================================== b . 3541412670 |=============================================================== OpenSSL Algorithm: RSA4096 OpenSSL Algorithm: ChaCha20 byte/s > Higher Is Better a . 32997720060 |============================================================== b . 32974277290 |============================================================== OpenSSL Algorithm: AES-128-GCM byte/s > Higher Is Better a . 37088281120 |============================================================== b . 36817661950 |============================================================== OpenSSL Algorithm: AES-256-GCM byte/s > Higher Is Better a . 33952196200 |============================================================== b . 33893861240 |============================================================== OpenSSL Algorithm: ChaCha20-Poly1305 byte/s > Higher Is Better a . 21284883930 |============================================================== b . 21199888110 |============================================================== Mobile Neural Network 2.9.b11b7037d Model: nasnet ms < Lower Is Better a . 19.86 |================================================================== b . 20.57 |==================================================================== Mobile Neural Network 2.9.b11b7037d Model: mobilenetV3 ms < Lower Is Better a . 3.473 |==================================================================== b . 3.443 |=================================================================== Mobile Neural Network 2.9.b11b7037d Model: squeezenetv1.1 ms < Lower Is Better a . 4.844 |==================================================================== b . 4.438 |============================================================== Mobile Neural Network 2.9.b11b7037d Model: resnet-v2-50 ms < Lower Is Better a . 37.24 |==================================================================== b . 34.39 |=============================================================== Mobile Neural Network 2.9.b11b7037d Model: SqueezeNetV1.0 ms < Lower Is Better a . 9.782 |==================================================================== b . 8.809 |============================================================= Mobile Neural Network 2.9.b11b7037d Model: MobileNetV2_224 ms < Lower Is Better a . 6.066 |==================================================================== b . 5.544 |============================================================== Mobile Neural Network 2.9.b11b7037d Model: mobilenet-v1-1.0 ms < Lower Is Better a . 5.270 |==================================================================== b . 4.351 |======================================================== Mobile Neural Network 2.9.b11b7037d Model: inception-v3 ms < Lower Is Better a . 40.38 |==================================================================== b . 36.94 |============================================================== XNNPACK 2cd86b Model: FP32MobileNetV2 us < Lower Is Better a . 3088 |===================================================================== b . 2753 |============================================================== XNNPACK 2cd86b Model: FP32MobileNetV3Large us < Lower Is Better a . 3887 |===================================================================== b . 3454 |============================================================= XNNPACK 2cd86b Model: FP32MobileNetV3Small us < Lower Is Better a . 2049 |=============================================================== b . 2243 |===================================================================== XNNPACK 2cd86b Model: FP16MobileNetV2 us < Lower Is Better a . 2853 |============================================================== b . 3159 |===================================================================== XNNPACK 2cd86b Model: FP16MobileNetV3Large us < Lower Is Better a . 3128 |=============================================================== b . 3440 |===================================================================== XNNPACK 2cd86b Model: FP16MobileNetV3Small us < Lower Is Better a . 1961 |==================================================================== b . 1997 |===================================================================== XNNPACK 2cd86b Model: QU8MobileNetV2 us < Lower Is Better a . 2573 |=================================================================== b . 2665 |===================================================================== XNNPACK 2cd86b Model: QU8MobileNetV3Large us < Lower Is Better a . 3010 |=================================================== b . 4068 |===================================================================== XNNPACK 2cd86b Model: QU8MobileNetV3Small us < Lower Is Better a . 1724 |================================================================== b . 1809 |===================================================================== Blender 4.2 Blend File: BMW27 - Compute: CPU-Only Seconds < Lower Is Better a . 166.80 |================================================================== b . 168.11 |=================================================================== Blender 4.2 Blend File: Junkshop - Compute: CPU-Only Seconds < Lower Is Better a . 252.35 |=================================================================== b . 251.89 |=================================================================== Blender 4.2 Blend File: Classroom - Compute: CPU-Only Seconds < Lower Is Better a . 487.69 |=================================================================== b . 491.08 |=================================================================== Blender 4.2 Blend File: Fishy Cat - Compute: CPU-Only Seconds < Lower Is Better a . 225.85 |=================================================================== b . 224.55 |=================================================================== Blender 4.2 Blend File: Barbershop - Compute: CPU-Only Seconds < Lower Is Better a . 1832.12 |================================================================== b . 1820.79 |================================================================== Blender 4.2 Blend File: Pabellon Barcelona - Compute: CPU-Only Seconds < Lower Is Better a . 533.45 |=================================================================== b . 533.15 |=================================================================== Apache Siege 2.4.62 Concurrent Users: 100 Transactions Per Second > Higher Is Better b . 17646.02 |================================================================= Apache Siege 2.4.62 Concurrent Users: 200 Transactions Per Second > Higher Is Better a . 17437.55 |================================================================= b . 17176.97 |================================================================ Apache Siege 2.4.62 Concurrent Users: 500 Transactions Per Second > Higher Is Better a . 17174.03 |================================================================= b . 17133.07 |================================================================= Apache Siege 2.4.62 Concurrent Users: 1000 Transactions Per Second > Higher Is Better a . 16973.41 |================================================================ b . 17132.49 |=================================================================