ddddd Tests for a future article. AMD Ryzen 9 5900HX testing with a ASUS ROG Strix G513QY_G513QY G513QY v1.0 (G513QY.318 BIOS) and ASUS AMD Radeon Vega / Mobile 512MB on Ubuntu 24.04 via the Phoronix Test Suite. a: Processor: AMD Ryzen 9 5900HX @ 4.89GHz (8 Cores / 16 Threads), Motherboard: ASUS ROG Strix G513QY_G513QY G513QY v1.0 (G513QY.318 BIOS), Chipset: AMD Renoir/Cezanne, Memory: 2 x 8GB DDR4-3200MT/s Micron 4ATF1G64HZ-3G2E2, Disk: 512GB SAMSUNG MZVLQ512HBLU-00B00, Graphics: ASUS AMD Radeon Vega / Mobile 512MB, Audio: AMD Navi 21/23, Monitor: LQ156M1JW25, Network: Realtek RTL8111/8168/8211/8411 + MEDIATEK MT7921 802.11ax PCI OS: Ubuntu 24.04, Kernel: 6.10.0-061000rc4daily20240621-generic (x86_64), Desktop: GNOME Shell 46.0, Display Server: X Server 1.21.1.11 + Wayland, OpenGL: 4.6 Mesa 24.0.9-0ubuntu0.1 (LLVM 17.0.6 DRM 3.57), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1080 b: Processor: AMD Ryzen 9 5900HX @ 4.89GHz (8 Cores / 16 Threads), Motherboard: ASUS ROG Strix G513QY_G513QY G513QY v1.0 (G513QY.318 BIOS), Chipset: AMD Renoir/Cezanne, Memory: 2 x 8GB DDR4-3200MT/s Micron 4ATF1G64HZ-3G2E2, Disk: 512GB SAMSUNG MZVLQ512HBLU-00B00, Graphics: ASUS AMD Radeon Vega / Mobile 512MB, Audio: AMD Navi 21/23, Monitor: LQ156M1JW25, Network: Realtek RTL8111/8168/8211/8411 + MEDIATEK MT7921 802.11ax PCI OS: Ubuntu 24.04, Kernel: 6.10.0-061000rc4daily20240621-generic (x86_64), Desktop: GNOME Shell 46.0, Display Server: X Server 1.21.1.11 + Wayland, OpenGL: 4.6 Mesa 24.0.9-0ubuntu0.1 (LLVM 17.0.6 DRM 3.57), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1080 oneDNN 3.6 Harness: Deconvolution Batch shapes_3d - Engine: CPU ms < Lower Is Better a . 7.73312 |============================================================ b . 8.47375 |================================================================== LiteRT 2024-10-15 Model: SqueezeNet Microseconds < Lower Is Better a . 4105.61 |================================================================== b . 3798.69 |============================================================= XNNPACK b7b048 Model: FP32MobileNetV1 us < Lower Is Better a . 3784 |================================================================== b . 3973 |===================================================================== Stockfish 17 Chess Benchmark Nodes Per Second > Higher Is Better a . 12282858 |============================================================== b . 12860073 |================================================================= XNNPACK b7b048 Model: FP32MobileNetV2 us < Lower Is Better a . 2797 |===================================================================== b . 2685 |================================================================== XNNPACK b7b048 Model: FP16MobileNetV3Small us < Lower Is Better a . 905 |====================================================================== b . 873 |==================================================================== ASTC Encoder 5.0 Preset: Fast MT/s > Higher Is Better a . 158.36 |=================================================================== b . 153.31 |================================================================= Primesieve 12.5 Length: 1e13 Seconds < Lower Is Better a . 293.72 |=================================================================== b . 285.14 |================================================================= oneDNN 3.6 Harness: IP Shapes 1D - Engine: CPU ms < Lower Is Better a . 7.64784 |================================================================== b . 7.44119 |================================================================ LiteRT 2024-10-15 Model: Mobilenet Float Microseconds < Lower Is Better a . 3757.23 |================================================================== b . 3656.00 |================================================================ SVT-AV1 2.3 Encoder Mode: Preset 8 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 107.97 |================================================================= b . 110.89 |=================================================================== SVT-AV1 2.3 Encoder Mode: Preset 13 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 71.37 |================================================================== b . 73.08 |==================================================================== LiteRT 2024-10-15 Model: Mobilenet Quant Microseconds < Lower Is Better a . 2293.38 |================================================================= b . 2345.57 |================================================================== LiteRT 2024-10-15 Model: NASNet Mobile Microseconds < Lower Is Better a . 15423.4 |================================================================= b . 15770.3 |================================================================== XNNPACK b7b048 Model: FP16MobileNetV2 us < Lower Is Better a . 2177 |==================================================================== b . 2218 |===================================================================== LiteRT 2024-10-15 Model: DeepLab V3 Microseconds < Lower Is Better a . 4441.21 |================================================================== b . 4359.78 |================================================================= Primesieve 12.5 Length: 1e12 Seconds < Lower Is Better a . 21.36 |=================================================================== b . 21.76 |==================================================================== SVT-AV1 2.3 Encoder Mode: Preset 8 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 31.98 |=================================================================== b . 32.57 |==================================================================== XNNPACK b7b048 Model: FP32MobileNetV3Large us < Lower Is Better a . 2845 |===================================================================== b . 2799 |==================================================================== WarpX 24.10 Input: Uniform Plasma Seconds < Lower Is Better a . 35.32 |=================================================================== b . 35.74 |==================================================================== oneDNN 3.6 Harness: Convolution Batch Shapes Auto - Engine: CPU ms < Lower Is Better a . 33.20 |==================================================================== b . 32.81 |=================================================================== XNNPACK b7b048 Model: FP16MobileNetV1 us < Lower Is Better a . 3128 |==================================================================== b . 3165 |===================================================================== oneDNN 3.6 Harness: Deconvolution Batch shapes_1d - Engine: CPU ms < Lower Is Better a . 8.67608 |================================================================= b . 8.77073 |================================================================== Unvanquished 0.55 Resolution: 1920 x 1080 - Effects Quality: Ultra Frames Per Second > Higher Is Better a . 233.2 |==================================================================== b . 230.7 |=================================================================== LiteRT 2024-10-15 Model: Quantized COCO SSD MobileNet v1 Microseconds < Lower Is Better a . 3193.50 |================================================================== b . 3160.74 |================================================================= oneDNN 3.6 Harness: Recurrent Neural Network Inference - Engine: CPU ms < Lower Is Better a . 3084.02 |================================================================= b . 3115.98 |================================================================== SVT-AV1 2.3 Encoder Mode: Preset 5 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 34.18 |=================================================================== b . 34.54 |==================================================================== SVT-AV1 2.3 Encoder Mode: Preset 5 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 10.58 |=================================================================== b . 10.69 |==================================================================== NAMD 3.0 Input: STMV with 1,066,628 Atoms ns/day > Higher Is Better a . 0.14973 |================================================================== b . 0.15083 |================================================================== oneDNN 3.6 Harness: Recurrent Neural Network Training - Engine: CPU ms < Lower Is Better a . 5181.27 |================================================================== b . 5216.77 |================================================================== XNNPACK b7b048 Model: QS8MobileNetV2 us < Lower Is Better a . 1413 |===================================================================== b . 1404 |===================================================================== CP2K Molecular Dynamics 2024.3 Input: Fayalite-FIST Seconds < Lower Is Better a . 173.40 |=================================================================== b . 172.30 |=================================================================== LiteRT 2024-10-15 Model: Inception V4 Microseconds < Lower Is Better a . 67034.8 |================================================================== b . 66662.6 |================================================================== Unvanquished 0.55 Resolution: 1920 x 1080 - Effects Quality: High Frames Per Second > Higher Is Better a . 275.1 |==================================================================== b . 276.4 |==================================================================== XNNPACK b7b048 Model: FP16MobileNetV3Large us < Lower Is Better a . 2361 |===================================================================== b . 2369 |===================================================================== SVT-AV1 2.3 Encoder Mode: Preset 3 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 10.15 |==================================================================== b . 10.19 |==================================================================== WarpX 24.10 Input: Plasma Acceleration Seconds < Lower Is Better a . 87.30 |==================================================================== b . 87.02 |==================================================================== BYTE Unix Benchmark 5.1.3-git Computational Test: Dhrystone 2 LPS > Higher Is Better a . 646887840.1 |============================================================== b . 648803303.7 |============================================================== SVT-AV1 2.3 Encoder Mode: Preset 13 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 308.87 |=================================================================== b . 309.69 |=================================================================== NAMD 3.0 Input: ATPase with 327,506 Atoms ns/day > Higher Is Better a . 0.54029 |================================================================== b . 0.53906 |================================================================== Apache Cassandra 5.0 Test: Writes Op/s > Higher Is Better a . 81862 |==================================================================== b . 82044 |==================================================================== Epoch 4.19.4 Epoch3D Deck: Cone Seconds < Lower Is Better a . 694.04 |=================================================================== b . 692.99 |=================================================================== BYTE Unix Benchmark 5.1.3-git Computational Test: Whetstone Double MWIPS > Higher Is Better a . 146389.9 |================================================================= b . 146201.9 |================================================================= ASTC Encoder 5.0 Preset: Very Thorough MT/s > Higher Is Better a . 1.0153 |=================================================================== b . 1.0140 |=================================================================== ASTC Encoder 5.0 Preset: Medium MT/s > Higher Is Better a . 59.23 |==================================================================== b . 59.16 |==================================================================== Opus Codec Encoding 1.5.2 WAV To Opus Encode Seconds < Lower Is Better a . 24.69 |==================================================================== b . 24.67 |==================================================================== CP2K Molecular Dynamics 2024.3 Input: H20-64 Seconds < Lower Is Better a . 175.11 |=================================================================== b . 174.90 |=================================================================== XNNPACK b7b048 Model: FP32MobileNetV3Small us < Lower Is Better a . 976 |====================================================================== b . 975 |====================================================================== ParaView 5.13 Test: Wavelet Volume - Frames: 600 - Resolution: 1920 x 1080 Frames / Sec > Higher Is Better a . 109.75 |=================================================================== b . 109.86 |=================================================================== BYTE Unix Benchmark 5.1.3-git Computational Test: Pipe LPS > Higher Is Better a . 17082914.1 |=============================================================== b . 17097887.7 |=============================================================== BYTE Unix Benchmark 5.1.3-git Computational Test: System Call LPS > Higher Is Better a . 17023670.5 |=============================================================== b . 17009992.3 |=============================================================== oneDNN 3.6 Harness: IP Shapes 3D - Engine: CPU ms < Lower Is Better a . 22.63 |==================================================================== b . 22.65 |==================================================================== CP2K Molecular Dynamics 2024.3 Input: H20-256 Seconds < Lower Is Better a . 1777.87 |================================================================== b . 1776.73 |================================================================== ASTC Encoder 5.0 Preset: Exhaustive MT/s > Higher Is Better a . 0.6205 |=================================================================== b . 0.6201 |=================================================================== ParaView 5.13 Test: Wavelet Contour - Frames: 600 - Resolution: 1920 x 1080 Frames / Sec > Higher Is Better a . 68.20 |==================================================================== b . 68.16 |==================================================================== ASTC Encoder 5.0 Preset: Thorough MT/s > Higher Is Better a . 7.5306 |=================================================================== b . 7.5267 |=================================================================== LiteRT 2024-10-15 Model: Inception ResNet V2 Microseconds < Lower Is Better a . 52699.3 |================================================================== b . 52722.1 |================================================================== SVT-AV1 2.3 Encoder Mode: Preset 3 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 3.003 |==================================================================== b . 3.004 |==================================================================== ParaView 5.13 Test: Many Spheres - Frames: 600 - Resolution: 1920 x 1080 Frames / Sec > Higher Is Better a . 0.15 |===================================================================== b . 0.15 |===================================================================== Unvanquished 0.55 Resolution: 1920 x 1080 - Effects Quality: Medium Frames Per Second > Higher Is Better a . 322.6 |==================================================================== b . 322.6 |==================================================================== ParaView 5.13 Test: Wavelet Contour - Frames: 600 - Resolution: 1920 x 1080 MiPolys / Sec > Higher Is Better a . 710.71 |=================================================================== b . 710.30 |=================================================================== ParaView 5.13 Test: Wavelet Volume - Frames: 600 - Resolution: 1920 x 1080 MiVoxels / Sec > Higher Is Better a . 1756.02 |================================================================== b . 1757.69 |================================================================== ParaView 5.13 Test: Many Spheres - Frames: 600 - Resolution: 1920 x 1080 MiPolys / Sec > Higher Is Better a . 15.02 |==================================================================== b . 14.83 |===================================================================