auggie Intel Core i9-10980XE testing with a ASRock X299 Steel Legend (P1.50 BIOS) and llvmpipe on Ubuntu 22.04 via the Phoronix Test Suite. a: Processor: Intel Core i9-10980XE @ 4.80GHz (18 Cores / 36 Threads), Motherboard: ASRock X299 Steel Legend (P1.50 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 4 x 8GB DDR4-3600MT/s, Disk: Samsung SSD 970 PRO 512GB, Graphics: llvmpipe, Audio: Realtek ALC1220, Network: Intel I219-V + Intel I211 OS: Ubuntu 22.04, Kernel: 6.5.0-35-generic (x86_64), Desktop: GNOME Shell 42.9, Display Server: X Server 1.21.1.4, OpenGL: 4.5 Mesa 22.0.1 (LLVM 13.0.1 256 bits), Vulkan: 1.2.204, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 1024x768 b: Processor: Intel Core i9-10980XE @ 4.80GHz (18 Cores / 36 Threads), Motherboard: ASRock X299 Steel Legend (P1.50 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 4 x 8GB DDR4-3600MT/s, Disk: Samsung SSD 970 PRO 512GB, Graphics: llvmpipe, Audio: Realtek ALC1220, Network: Intel I219-V + Intel I211 OS: Ubuntu 22.04, Kernel: 6.5.0-35-generic (x86_64), Desktop: GNOME Shell 42.9, Display Server: X Server 1.21.1.4, OpenGL: 4.5 Mesa 22.0.1 (LLVM 13.0.1 256 bits), Vulkan: 1.2.204, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 1024x768 c: Processor: Intel Core i9-10980XE @ 4.80GHz (18 Cores / 36 Threads), Motherboard: ASRock X299 Steel Legend (P1.50 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 4 x 8GB DDR4-3600MT/s, Disk: Samsung SSD 970 PRO 512GB, Graphics: llvmpipe, Audio: Realtek ALC1220, Network: Intel I219-V + Intel I211 OS: Ubuntu 22.04, Kernel: 6.5.0-35-generic (x86_64), Desktop: GNOME Shell 42.9, Display Server: X Server 1.21.1.4, OpenGL: 4.5 Mesa 22.0.1 (LLVM 13.0.1 256 bits), Vulkan: 1.2.204, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 1024x768 LZ4 Compression 1.10 Compression Level: 1 - Compression Speed MB/s > Higher Is Better a . 689.50 |=================================================================== b . 688.68 |=================================================================== c . 688.53 |=================================================================== LZ4 Compression 1.10 Compression Level: 1 - Decompression Speed MB/s > Higher Is Better a . 4263.2 |=================================================================== b . 4274.0 |=================================================================== c . 4249.9 |=================================================================== LZ4 Compression 1.10 Compression Level: 2 - Compression Speed MB/s > Higher Is Better a . 319.53 |=================================================================== b . 318.68 |=================================================================== c . 318.53 |=================================================================== LZ4 Compression 1.10 Compression Level: 2 - Decompression Speed MB/s > Higher Is Better a . 3884.0 |=================================================================== b . 3888.4 |=================================================================== c . 3884.0 |=================================================================== LZ4 Compression 1.10 Compression Level: 3 - Compression Speed MB/s > Higher Is Better a . 109.96 |=================================================================== b . 109.66 |=================================================================== c . 109.67 |=================================================================== LZ4 Compression 1.10 Compression Level: 9 - Compression Speed MB/s > Higher Is Better a . 40.96 |==================================================================== b . 40.98 |==================================================================== c . 40.98 |==================================================================== LZ4 Compression 1.10 Compression Level: 9 - Decompression Speed MB/s > Higher Is Better a . 4283.2 |=================================================================== b . 4288.3 |=================================================================== c . 4290.3 |=================================================================== LZ4 Compression 1.10 Compression Level: 12 - Compression Speed MB/s > Higher Is Better a . 12.30 |==================================================================== b . 12.31 |==================================================================== c . 12.33 |==================================================================== LZ4 Compression 1.10 Compression Level: 12 - Decompression Speed MB/s > Higher Is Better a . 4412.6 |=================================================================== b . 4416.5 |=================================================================== c . 4419.9 |=================================================================== Z3 Theorem Prover 4.12.1 SMT File: 2.smt2 Seconds < Lower Is Better a . 129.01 |=================================================================== b . 129.83 |=================================================================== c . 128.98 |=================================================================== Gcrypt Library 1.10.3 Seconds < Lower Is Better a . 204.29 |=================================================================== b . 204.14 |=================================================================== c . 204.42 |=================================================================== Z3 Theorem Prover 4.12.1 SMT File: 1.smt2 Seconds < Lower Is Better a . 33.80 |=============================================================== b . 36.65 |==================================================================== c . 33.54 |============================================================== LZ4 Compression 1.10 Compression Level: 3 - Decompression Speed MB/s > Higher Is Better a . 4086.1 |=================================================================== b . 4076.7 |=================================================================== c . 4077.1 |=================================================================== Whisperfile 20Aug24 Model Size: Tiny Seconds < Lower Is Better a . 62.79 |==================================================================== b . 63.23 |==================================================================== c . 63.11 |==================================================================== Whisperfile 20Aug24 Model Size: Small Seconds < Lower Is Better a . 216.11 |================================================================== b . 218.85 |=================================================================== c . 218.18 |=================================================================== OpenSSL Algorithm: SHA512 byte/s > Higher Is Better a . 6524552610 |=============================================================== b . 6506521460 |=============================================================== c . 6511212680 |=============================================================== Whisperfile 20Aug24 Model Size: Medium Seconds < Lower Is Better a . 501.29 |================================================================== b . 503.35 |================================================================== c . 510.13 |=================================================================== LeelaChessZero 0.31.1 Backend: BLAS Nodes Per Second > Higher Is Better a . 101 |====================================================================== b . 91 |=============================================================== c . 93 |================================================================ LeelaChessZero 0.31.1 Backend: Eigen Nodes Per Second > Higher Is Better a . 84 |======================================================================= b . 75 |=============================================================== c . 77 |================================================================= Mobile Neural Network 2.9.b11b7037d Model: nasnet ms < Lower Is Better a . 14.88 |==================================================================== b . 14.80 |==================================================================== c . 14.71 |=================================================================== Mobile Neural Network 2.9.b11b7037d Model: mobilenetV3 ms < Lower Is Better a . 2.010 |================================================================== b . 2.060 |==================================================================== c . 1.991 |================================================================== Mobile Neural Network 2.9.b11b7037d Model: squeezenetv1.1 ms < Lower Is Better a . 2.552 |==================================================================== b . 2.524 |=================================================================== c . 2.535 |==================================================================== Mobile Neural Network 2.9.b11b7037d Model: resnet-v2-50 ms < Lower Is Better a . 11.18 |==================================================================== b . 11.15 |==================================================================== c . 11.12 |==================================================================== Mobile Neural Network 2.9.b11b7037d Model: SqueezeNetV1.0 ms < Lower Is Better a . 4.066 |================================================================= b . 3.972 |=============================================================== c . 4.285 |==================================================================== Mobile Neural Network 2.9.b11b7037d Model: MobileNetV2_224 ms < Lower Is Better a . 3.280 |==================================================================== b . 3.164 |================================================================== c . 3.270 |==================================================================== Mobile Neural Network 2.9.b11b7037d Model: mobilenet-v1-1.0 ms < Lower Is Better a . 2.671 |==================================================================== b . 2.654 |==================================================================== c . 2.614 |=================================================================== Mobile Neural Network 2.9.b11b7037d Model: inception-v3 ms < Lower Is Better a . 22.11 |==================================================================== b . 22.17 |==================================================================== c . 21.62 |================================================================== XNNPACK 2cd86b Model: FP32MobileNetV2 us < Lower Is Better a . 2390 |===================================================================== b . 2402 |===================================================================== c . 2387 |===================================================================== XNNPACK 2cd86b Model: FP32MobileNetV3Large us < Lower Is Better a . 2948 |==================================================================== b . 2964 |==================================================================== c . 2990 |===================================================================== x265 Video Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 19.83 |=================================================================== b . 20.15 |==================================================================== c . 19.84 |=================================================================== XNNPACK 2cd86b Model: FP32MobileNetV3Small us < Lower Is Better a . 1735 |===================================================================== b . 1727 |===================================================================== c . 1737 |===================================================================== x265 Video Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 29.55 |===================================================== b . 37.68 |==================================================================== c . 29.48 |===================================================== XNNPACK 2cd86b Model: FP16MobileNetV2 us < Lower Is Better a . 1906 |===================================================================== b . 1904 |===================================================================== c . 1899 |===================================================================== XNNPACK 2cd86b Model: FP16MobileNetV3Large us < Lower Is Better a . 2560 |===================================================================== b . 2549 |===================================================================== c . 2535 |==================================================================== XNNPACK 2cd86b Model: FP16MobileNetV3Small us < Lower Is Better a . 1672 |===================================================================== b . 1658 |==================================================================== c . 1662 |===================================================================== XNNPACK 2cd86b Model: QU8MobileNetV2 us < Lower Is Better a . 1713 |===================================================================== b . 1713 |===================================================================== c . 1709 |===================================================================== XNNPACK 2cd86b Model: QU8MobileNetV3Large us < Lower Is Better a . 2429 |===================================================================== b . 2408 |==================================================================== c . 2382 |==================================================================== XNNPACK 2cd86b Model: QU8MobileNetV3Small us < Lower Is Better a . 1633 |===================================================================== b . 1588 |=================================================================== c . 1619 |==================================================================== NAMD 3.0b6 Input: ATPase with 327,506 Atoms ns/day > Higher Is Better a . 1.95670 |================================================================== b . 1.94383 |================================================================== c . 1.95762 |================================================================== NAMD 3.0b6 Input: STMV with 1,066,628 Atoms ns/day > Higher Is Better a . 0.60304 |================================================================== b . 0.60519 |================================================================== c . 0.60628 |================================================================== ACES DGEMM 1.0 Sustained Floating-Point Rate GFLOP/s > Higher Is Better a . 1246.64 |================================================================== b . 588.76 |=============================== c . 1246.97 |================================================================== SVT-AV1 2.2 Encoder Mode: Preset 3 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 4.544 |==================================================================== b . 4.530 |==================================================================== c . 4.554 |==================================================================== SVT-AV1 2.2 Encoder Mode: Preset 5 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 16.19 |==================================================================== b . 16.27 |==================================================================== c . 16.27 |==================================================================== OpenSSL Algorithm: AES-128-GCM byte/s > Higher Is Better a . 103836429700 |============================================================= b . 104641211320 |============================================================= c . 104644612920 |============================================================= OpenSSL Algorithm: AES-256-GCM byte/s > Higher Is Better a . 76367058807 |============================================================== b . 76352517190 |============================================================== c . 76354334170 |============================================================== OpenSSL Algorithm: RSA4096 OpenSSL Algorithm: ChaCha20 byte/s > Higher Is Better a . 94758059440 |============================================================= b . 96092452180 |============================================================== c . 96080966180 |============================================================== OpenSSL Algorithm: SHA256 byte/s > Higher Is Better a . 5855946573 |=============================================================== b . 5872867640 |=============================================================== c . 5874492190 |=============================================================== SVT-AV1 2.2 Encoder Mode: Preset 8 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 36.22 |=================================================================== b . 36.52 |==================================================================== c . 36.25 |=================================================================== POV-Ray Trace Time Seconds < Lower Is Better a . 33.69 |==================================================================== b . 29.51 |============================================================ c . 29.75 |============================================================ Y-Cruncher 0.8.5 Pi Digits To Calculate: 1B Seconds < Lower Is Better a . 23.97 |=================================================================== b . 23.81 |=================================================================== c . 24.21 |==================================================================== Y-Cruncher 0.8.5 Pi Digits To Calculate: 500M Seconds < Lower Is Better a . 10.91 |==================================================================== b . 10.81 |=================================================================== c . 10.93 |==================================================================== SVT-AV1 2.2 Encoder Mode: Preset 13 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 137.29 |=================================================================== b . 137.87 |=================================================================== c . 137.24 |=================================================================== SVT-AV1 2.2 Encoder Mode: Preset 3 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 13.30 |==================================================================== b . 13.34 |==================================================================== c . 13.35 |==================================================================== Stockfish Chess Benchmark Nodes Per Second > Higher Is Better a . 35888367 |================================================================= b . 35238508 |================================================================ c . 33955562 |============================================================= 7-Zip Compression MIPS > Higher Is Better OpenSSL Algorithm: ChaCha20-Poly1305 byte/s > Higher Is Better a . 49217642407 |============================================================== b . 49227778460 |============================================================== c . 49238194310 |============================================================== SVT-AV1 2.2 Encoder Mode: Preset 5 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 40.59 |==================================================================== b . 40.44 |==================================================================== c . 40.52 |==================================================================== SVT-AV1 2.2 Encoder Mode: Preset 8 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 86.21 |==================================================================== b . 85.94 |==================================================================== c . 85.58 |==================================================================== SVT-AV1 2.2 Encoder Mode: Preset 13 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 308.34 |=================================================================== b . 301.87 |================================================================== c . 304.63 |================================================================== SVT-AV1 2.2 Encoder Mode: Preset 3 - Input: Beauty 4K 10-bit Frames Per Second > Higher Is Better a . 0.721 |==================================================================== b . 0.712 |=================================================================== c . 0.721 |==================================================================== SVT-AV1 2.2 Encoder Mode: Preset 5 - Input: Beauty 4K 10-bit Frames Per Second > Higher Is Better a . 3.086 |==================================================================== b . 3.034 |=================================================================== c . 3.085 |==================================================================== SVT-AV1 2.2 Encoder Mode: Preset 8 - Input: Beauty 4K 10-bit Frames Per Second > Higher Is Better a . 4.514 |==================================================================== b . 4.507 |==================================================================== c . 4.530 |==================================================================== SVT-AV1 2.2 Encoder Mode: Preset 13 - Input: Beauty 4K 10-bit Frames Per Second > Higher Is Better a . 9.081 |=================================================================== b . 9.201 |==================================================================== c . 9.104 |=================================================================== Blender 4.2 Blend File: BMW27 - Compute: CPU-Only Seconds < Lower Is Better a . 93.97 |==================================================================== b . 94.26 |==================================================================== c . 93.51 |=================================================================== Blender 4.2 Blend File: Junkshop - Compute: CPU-Only Seconds < Lower Is Better a . 117.70 |=================================================================== b . 116.75 |================================================================== c . 117.27 |=================================================================== Blender 4.2 Blend File: Classroom - Compute: CPU-Only Seconds < Lower Is Better a . 297.51 |=================================================================== b . 298.69 |=================================================================== c . 297.26 |=================================================================== Blender 4.2 Blend File: Fishy Cat - Compute: CPU-Only Seconds < Lower Is Better a . 138.20 |=================================================================== b . 138.51 |=================================================================== c . 138.27 |=================================================================== Blender 4.2 Blend File: Barbershop - Compute: CPU-Only Seconds < Lower Is Better a . 999.03 |================================================================= b . 990.84 |================================================================= c . 1009.07 |================================================================== Blender 4.2 Blend File: Pabellon Barcelona - Compute: CPU-Only Seconds < Lower Is Better a . 319.87 |=================================================================== b . 320.79 |=================================================================== c . 320.86 |=================================================================== Intel Open Image Denoise 2.3 Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only Images / Sec > Higher Is Better a . 0.95 |===================================================================== b . 0.91 |================================================================== c . 0.95 |===================================================================== Intel Open Image Denoise 2.3 Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only Images / Sec > Higher Is Better a . 0.95 |===================================================================== b . 0.93 |==================================================================== c . 0.95 |===================================================================== Intel Open Image Denoise 2.3 Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only Images / Sec > Higher Is Better a . 0.45 |===================================================================== b . 0.44 |=================================================================== c . 0.45 |===================================================================== OSPRay 3.2 Benchmark: particle_volume/ao/real_time Items Per Second > Higher Is Better a . 4.05421 |================================================================== b . 3.96749 |================================================================ c . 4.06309 |================================================================== OSPRay 3.2 Benchmark: particle_volume/scivis/real_time Items Per Second > Higher Is Better a . 4.04126 |================================================================== b . 4.03692 |================================================================== c . 4.03803 |================================================================== OSPRay 3.2 Benchmark: particle_volume/pathtracer/real_time Items Per Second > Higher Is Better a . 81.46 |=================================================================== b . 82.23 |==================================================================== c . 82.09 |==================================================================== OSPRay 3.2 Benchmark: gravity_spheres_volume/dim_512/ao/real_time Items Per Second > Higher Is Better a . 4.78694 |================================================================== b . 4.81750 |================================================================== c . 4.75911 |================================================================= OSPRay 3.2 Benchmark: gravity_spheres_volume/dim_512/scivis/real_time Items Per Second > Higher Is Better a . 4.70193 |================================================================= b . 4.74512 |================================================================== c . 4.70815 |================================================================= OSPRay 3.2 Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time Items Per Second > Higher Is Better a . 4.58248 |================================================================== b . 4.57476 |================================================================== c . 4.55687 |================================================================== Build2 0.17 Time To Compile Seconds < Lower Is Better a . 123.82 |================================================================= b . 122.63 |================================================================= c . 126.66 |=================================================================== PyPerformance 1.11 Benchmark: go Milliseconds < Lower Is Better a . 193 |====================================================================== b . 193 |====================================================================== c . 194 |====================================================================== PyPerformance 1.11 Benchmark: chaos Milliseconds < Lower Is Better a . 89.3 |==================================================================== b . 90.4 |===================================================================== c . 90.6 |===================================================================== PyPerformance 1.11 Benchmark: float Milliseconds < Lower Is Better a . 95.3 |=================================================================== b . 96.9 |==================================================================== c . 98.5 |===================================================================== PyPerformance 1.11 Benchmark: nbody Milliseconds < Lower Is Better a . 125 |=================================================================== b . 130 |===================================================================== c . 131 |====================================================================== PyPerformance 1.11 Benchmark: pathlib Milliseconds < Lower Is Better a . 15.9 |===================================================================== b . 16.0 |===================================================================== c . 16.0 |===================================================================== PyPerformance 1.11 Benchmark: raytrace Milliseconds < Lower Is Better a . 403 |===================================================================== b . 407 |====================================================================== c . 405 |====================================================================== PyPerformance 1.11 Benchmark: xml_etree Milliseconds < Lower Is Better a . 64.3 |==================================================================== b . 64.9 |===================================================================== c . 64.7 |===================================================================== PyPerformance 1.11 Benchmark: gc_collect Milliseconds < Lower Is Better a . 1.36 |===================================================================== b . 1.33 |=================================================================== c . 1.35 |==================================================================== PyPerformance 1.11 Benchmark: json_loads Milliseconds < Lower Is Better a . 22.9 |===================================================================== b . 22.1 |=================================================================== c . 22.1 |=================================================================== PyPerformance 1.11 Benchmark: crypto_pyaes Milliseconds < Lower Is Better a . 97.8 |===================================================================== b . 98.0 |===================================================================== c . 98.5 |===================================================================== PyPerformance 1.11 Benchmark: async_tree_io Milliseconds < Lower Is Better a . 1.56 |===================================================================== b . 1.54 |==================================================================== c . 1.55 |===================================================================== PyPerformance 1.11 Benchmark: regex_compile Milliseconds < Lower Is Better a . 147 |====================================================================== b . 148 |====================================================================== c . 148 |====================================================================== PyPerformance 1.11 Benchmark: python_startup Milliseconds < Lower Is Better a . 10.2 |==================================================================== b . 10.1 |=================================================================== c . 10.4 |===================================================================== PyPerformance 1.11 Benchmark: asyncio_tcp_ssl Milliseconds < Lower Is Better a . 2.90 |==================================================================== b . 2.94 |===================================================================== c . 2.92 |===================================================================== PyPerformance 1.11 Benchmark: django_template Milliseconds < Lower Is Better a . 37.7 |===================================================================== b . 37.7 |===================================================================== c . 37.5 |===================================================================== PyPerformance 1.11 Benchmark: asyncio_websockets Milliseconds < Lower Is Better a . 431 |====================================================================== b . 430 |====================================================================== c . 432 |====================================================================== PyPerformance 1.11 Benchmark: pickle_pure_python Milliseconds < Lower Is Better a . 367 |====================================================================== b . 365 |====================================================================== c . 365 |====================================================================== Apache Siege 2.4.62 Concurrent Users: 100 Transactions Per Second > Higher Is Better a . 51635.65 |================================================================= b . 51466.80 |================================================================= c . 51440.33 |================================================================= Apache Siege 2.4.62 Concurrent Users: 200 Transactions Per Second > Higher Is Better a . 45835.18 |================================================================= b . 45709.06 |================================================================= c . 45934.77 |================================================================= Apache Siege 2.4.62 Concurrent Users: 500 Transactions Per Second > Higher Is Better a . 45723.55 |================================================================= b . 45596.78 |================================================================= c . 45658.02 |================================================================= Apache Siege 2.4.62 Concurrent Users: 1000 Transactions Per Second > Higher Is Better a . 45652.94 |================================================================= b . 45633.50 |================================================================= c . 45596.78 |================================================================= simdjson 3.10 Throughput Test: Kostya GB/s > Higher Is Better a . 2.47 |===================================================================== b . 2.47 |===================================================================== c . 2.47 |===================================================================== simdjson 3.10 Throughput Test: TopTweet GB/s > Higher Is Better a . 4.22 |===================================================================== b . 4.21 |===================================================================== c . 4.22 |===================================================================== simdjson 3.10 Throughput Test: LargeRandom GB/s > Higher Is Better a . 0.99 |===================================================================== b . 0.98 |==================================================================== c . 0.99 |===================================================================== simdjson 3.10 Throughput Test: PartialTweets GB/s > Higher Is Better a . 4.16 |===================================================================== b . 4.18 |===================================================================== c . 4.16 |===================================================================== simdjson 3.10 Throughput Test: DistinctUserID GB/s > Higher Is Better a . 4.16 |===================================================================== b . 4.12 |==================================================================== c . 4.15 |=====================================================================