aug11 Intel Xeon Silver 4216 testing with a TYAN S7100AG2NR (V4.02 BIOS) and ASPEED on Debian 12 via the Phoronix Test Suite. a: Processor: Intel Xeon Silver 4216 @ 3.20GHz (16 Cores / 32 Threads), Motherboard: TYAN S7100AG2NR (V4.02 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 6 x 8 GB DDR4-2400MT/s, Disk: 240GB Corsair Force MP500, Graphics: ASPEED, Audio: Realtek ALC892, 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: Intel Xeon Silver 4216 @ 3.20GHz (16 Cores / 32 Threads), Motherboard: TYAN S7100AG2NR (V4.02 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 6 x 8 GB DDR4-2400MT/s, Disk: 240GB Corsair Force MP500, Graphics: ASPEED, Audio: Realtek ALC892, 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 XNNPACK 2cd86b Model: QU8MobileNetV2 us < Lower Is Better a . 3523 |===================================================================== b . 2270 |============================================ XNNPACK 2cd86b Model: FP32MobileNetV2 us < Lower Is Better a . 3757 |===================================================================== b . 3105 |========================================================= XNNPACK 2cd86b Model: FP16MobileNetV2 us < Lower Is Better a . 2414 |============================================================= b . 2729 |===================================================================== Mobile Neural Network 2.9.b11b7037d Model: mobilenet-v1-1.0 ms < Lower Is Better a . 4.831 |============================================================ b . 5.438 |==================================================================== XNNPACK 2cd86b Model: FP32MobileNetV3Large us < Lower Is Better a . 3553 |================================================================ b . 3819 |===================================================================== Mobile Neural Network 2.9.b11b7037d Model: nasnet ms < Lower Is Better a . 23.77 |================================================================ b . 25.32 |==================================================================== Mobile Neural Network 2.9.b11b7037d Model: resnet-v2-50 ms < Lower Is Better a . 20.01 |==================================================================== b . 19.02 |================================================================= LeelaChessZero 0.31.1 Backend: BLAS Nodes Per Second > Higher Is Better a . 36 |===================================================================== b . 37 |======================================================================= Mobile Neural Network 2.9.b11b7037d Model: mobilenetV3 ms < Lower Is Better a . 3.106 |================================================================== b . 3.192 |==================================================================== NAMD 3.0b6 Input: STMV with 1,066,628 Atoms ns/day > Higher Is Better a . 0.35915 |================================================================== b . 0.35171 |================================================================= Build2 0.17 Time To Compile Seconds < Lower Is Better a . 187.57 |================================================================== b . 191.40 |=================================================================== Mobile Neural Network 2.9.b11b7037d Model: inception-v3 ms < Lower Is Better a . 44.12 |=================================================================== b . 44.84 |==================================================================== PyPerformance 1.11 Benchmark: python_startup Milliseconds < Lower Is Better a . 26.6 |===================================================================== b . 26.2 |==================================================================== XNNPACK 2cd86b Model: FP32MobileNetV3Small us < Lower Is Better a . 2021 |===================================================================== b . 1992 |==================================================================== PyPerformance 1.11 Benchmark: async_tree_io Milliseconds < Lower Is Better a . 1.39 |==================================================================== b . 1.41 |===================================================================== Blender 4.2 Blend File: Barbershop - Compute: CPU-Only Seconds < Lower Is Better a . 1551.05 |================================================================= b . 1570.71 |================================================================== Blender 4.2 Blend File: Classroom - Compute: CPU-Only Seconds < Lower Is Better a . 466.79 |================================================================== b . 472.23 |=================================================================== Blender 4.2 Blend File: Pabellon Barcelona - Compute: CPU-Only Seconds < Lower Is Better a . 517.53 |=================================================================== b . 511.80 |================================================================== PyPerformance 1.11 Benchmark: pickle_pure_python Milliseconds < Lower Is Better a . 358 |===================================================================== b . 362 |====================================================================== Mobile Neural Network 2.9.b11b7037d Model: SqueezeNetV1.0 ms < Lower Is Better a . 6.943 |==================================================================== b . 6.874 |=================================================================== simdjson 3.10 Throughput Test: Kostya GB/s > Higher Is Better a . 2.04 |==================================================================== b . 2.06 |===================================================================== XNNPACK 2cd86b Model: FP16MobileNetV3Large us < Lower Is Better a . 3028 |===================================================================== b . 3004 |==================================================================== PyPerformance 1.11 Benchmark: json_loads Milliseconds < Lower Is Better a . 28.2 |===================================================================== b . 28.0 |===================================================================== PyPerformance 1.11 Benchmark: gc_collect Milliseconds < Lower Is Better a . 1.52 |===================================================================== b . 1.53 |===================================================================== PyPerformance 1.11 Benchmark: regex_compile Milliseconds < Lower Is Better a . 167 |====================================================================== b . 166 |====================================================================== PyPerformance 1.11 Benchmark: go Milliseconds < Lower Is Better a . 170 |====================================================================== b . 169 |====================================================================== PyPerformance 1.11 Benchmark: pathlib Milliseconds < Lower Is Better a . 19.6 |===================================================================== b . 19.7 |===================================================================== PyPerformance 1.11 Benchmark: django_template Milliseconds < Lower Is Better a . 40.3 |===================================================================== b . 40.5 |===================================================================== XNNPACK 2cd86b Model: QU8MobileNetV3Large us < Lower Is Better a . 3032 |===================================================================== b . 3047 |===================================================================== OpenSSL Algorithm: AES-256-GCM byte/s > Higher Is Better a . 48177832210 |============================================================== b . 47941635280 |============================================================== QuantLib 1.35-dev Size: XXS tasks/s > Higher Is Better a . 5.99286 |================================================================== b . 5.96760 |================================================================== PyPerformance 1.11 Benchmark: float Milliseconds < Lower Is Better a . 88.2 |===================================================================== b . 88.5 |===================================================================== PyPerformance 1.11 Benchmark: crypto_pyaes Milliseconds < Lower Is Better a . 88.4 |===================================================================== b . 88.7 |===================================================================== XNNPACK 2cd86b Model: FP16MobileNetV3Small us < Lower Is Better a . 1782 |===================================================================== b . 1776 |===================================================================== Mobile Neural Network 2.9.b11b7037d Model: MobileNetV2_224 ms < Lower Is Better a . 5.639 |==================================================================== b . 5.658 |==================================================================== PyPerformance 1.11 Benchmark: asyncio_tcp_ssl Milliseconds < Lower Is Better a . 2.98 |===================================================================== b . 2.99 |===================================================================== simdjson 3.10 Throughput Test: DistinctUserID GB/s > Higher Is Better a . 3.09 |===================================================================== b . 3.08 |===================================================================== LZ4 Compression 1.10 Compression Level: 9 - Decompression Speed MB/s > Higher Is Better a . 2725.5 |=================================================================== b . 2717.2 |=================================================================== OSPRay 3.2 Benchmark: particle_volume/pathtracer/real_time Items Per Second > Higher Is Better a . 75.57 |==================================================================== b . 75.80 |==================================================================== PyPerformance 1.11 Benchmark: xml_etree Milliseconds < Lower Is Better a . 66.0 |===================================================================== b . 65.8 |===================================================================== Blender 4.2 Blend File: Fishy Cat - Compute: CPU-Only Seconds < Lower Is Better a . 215.63 |=================================================================== b . 215.06 |=================================================================== Mobile Neural Network 2.9.b11b7037d Model: squeezenetv1.1 ms < Lower Is Better a . 4.210 |==================================================================== b . 4.221 |==================================================================== OpenSSL Algorithm: AES-128-GCM byte/s > Higher Is Better a . 64493906060 |============================================================== b . 64329045880 |============================================================== PyPerformance 1.11 Benchmark: chaos Milliseconds < Lower Is Better a . 78.4 |===================================================================== b . 78.6 |===================================================================== OSPRay 3.2 Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time Items Per Second > Higher Is Better a . 2.57734 |================================================================== b . 2.57139 |================================================================== OpenSSL Algorithm: ChaCha20 byte/s > Higher Is Better a . 60831261220 |============================================================== b . 60952332420 |============================================================== OpenSSL Algorithm: SHA256 byte/s > Higher Is Better a . 3676281420 |=============================================================== b . 3682976850 |=============================================================== LZ4 Compression 1.10 Compression Level: 2 - Compression Speed MB/s > Higher Is Better a . 221.64 |=================================================================== b . 222.04 |=================================================================== Y-Cruncher 0.8.5 Pi Digits To Calculate: 500M Seconds < Lower Is Better a . 20.59 |==================================================================== b . 20.63 |==================================================================== OSPRay 3.2 Benchmark: particle_volume/ao/real_time Items Per Second > Higher Is Better a . 3.22011 |================================================================== b . 3.21455 |================================================================== Y-Cruncher 0.8.5 Pi Digits To Calculate: 1B Seconds < Lower Is Better a . 45.73 |==================================================================== b . 45.80 |==================================================================== LZ4 Compression 1.10 Compression Level: 3 - Compression Speed MB/s > Higher Is Better a . 74.76 |==================================================================== b . 74.86 |==================================================================== OpenSSL Algorithm: SHA512 byte/s > Higher Is Better a . 3997695610 |=============================================================== b . 4002496480 |=============================================================== LZ4 Compression 1.10 Compression Level: 12 - Decompression Speed MB/s > Higher Is Better a . 2782.4 |=================================================================== b . 2779.1 |=================================================================== OSPRay 3.2 Benchmark: gravity_spheres_volume/dim_512/ao/real_time Items Per Second > Higher Is Better a . 3.14726 |================================================================== b . 3.14363 |================================================================== Blender 4.2 Blend File: Junkshop - Compute: CPU-Only Seconds < Lower Is Better a . 181.37 |=================================================================== b . 181.17 |=================================================================== OSPRay 3.2 Benchmark: gravity_spheres_volume/dim_512/scivis/real_time Items Per Second > Higher Is Better a . 3.11804 |================================================================== b . 3.11534 |================================================================== LZ4 Compression 1.10 Compression Level: 2 - Decompression Speed MB/s > Higher Is Better a . 2454.6 |=================================================================== b . 2452.5 |=================================================================== XNNPACK 2cd86b Model: QU8MobileNetV3Small us < Lower Is Better a . 1884 |===================================================================== b . 1883 |===================================================================== ACES DGEMM 1.0 Sustained Floating-Point Rate GFLOP/s > Higher Is Better a . 382.63 |=================================================================== b . 382.46 |=================================================================== LZ4 Compression 1.10 Compression Level: 9 - Compression Speed MB/s > Higher Is Better a . 28.20 |==================================================================== b . 28.21 |==================================================================== OSPRay 3.2 Benchmark: particle_volume/scivis/real_time Items Per Second > Higher Is Better a . 3.20253 |================================================================== b . 3.20361 |================================================================== Blender 4.2 Blend File: BMW27 - Compute: CPU-Only Seconds < Lower Is Better a . 149.72 |=================================================================== b . 149.77 |=================================================================== NAMD 3.0b6 Input: ATPase with 327,506 Atoms ns/day > Higher Is Better a . 1.29261 |================================================================== b . 1.29224 |================================================================== LZ4 Compression 1.10 Compression Level: 1 - Compression Speed MB/s > Higher Is Better a . 472.60 |=================================================================== b . 472.56 |=================================================================== LZ4 Compression 1.10 Compression Level: 3 - Decompression Speed MB/s > Higher Is Better a . 2589.9 |=================================================================== b . 2590.1 |=================================================================== OpenSSL Algorithm: ChaCha20-Poly1305 byte/s > Higher Is Better a . 30595697050 |============================================================== b . 30597979340 |============================================================== Apache Siege 2.4.62 Concurrent Users: 200 Transactions Per Second > Higher Is Better a . 11106.79 |================================================================= PyPerformance 1.11 Benchmark: asyncio_websockets Milliseconds < Lower Is Better a . 635 |====================================================================== b . 635 |====================================================================== PyPerformance 1.11 Benchmark: raytrace Milliseconds < Lower Is Better a . 346 |====================================================================== b . 346 |====================================================================== PyPerformance 1.11 Benchmark: nbody Milliseconds < Lower Is Better a . 107 |====================================================================== b . 107 |====================================================================== Intel Open Image Denoise 2.3 Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only Images / Sec > Higher Is Better a . 0.33 |===================================================================== b . 0.33 |===================================================================== Intel Open Image Denoise 2.3 Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only Images / Sec > Higher Is Better a . 0.33 |===================================================================== b . 0.33 |===================================================================== LZ4 Compression 1.10 Compression Level: 12 - Compression Speed MB/s > Higher Is Better a . 8.68 |===================================================================== b . 8.68 |===================================================================== LZ4 Compression 1.10 Compression Level: 1 - Decompression Speed MB/s > Higher Is Better a . 2775.2 |=================================================================== b . 2775.2 |=================================================================== simdjson 3.10 Throughput Test: PartialTweets GB/s > Higher Is Better a . 2.92 |===================================================================== b . 2.92 |===================================================================== simdjson 3.10 Throughput Test: LargeRandom GB/s > Higher Is Better a . 0.7 |====================================================================== b . 0.7 |====================================================================== simdjson 3.10 Throughput Test: TopTweet GB/s > Higher Is Better a . 3 |======================================================================== b . 3 |======================================================================== Apache Siege 2.4.62 Concurrent Users: 100 Transactions Per Second > Higher Is Better OpenSSL Algorithm: RSA4096 7-Zip Compression MIPS > Higher Is Better