new 79 Benchmarks for a future article on Phoronix. a: Processor: AMD Ryzen 9 7950X 16-Core @ 5.88GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG STRIX X670E-E GAMING WIFI (2124 BIOS), Chipset: AMD Device 14d8, Memory: 2 x 16GB DDR5-6000MT/s G Skill F5-6000J3038F16G, Disk: 2000GB Corsair MP700 PRO, Graphics: AMD Radeon RX 7900 GRE 16GB, Audio: AMD Navi 31 HDMI/DP, Monitor: DELL U2723QE, Network: Intel I225-V + Intel Wi-Fi 6E OS: Ubuntu 24.04, Kernel: 6.10.0-phx (x86_64), Desktop: GNOME Shell 46.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.2~git2406040600.8112d4~oibaf~n (git-8112d44 2024-06-04 noble-oibaf-ppa) (LLVM 17.0.6 DRM 3.57), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3840x2160 b: Processor: AMD Ryzen 9 9950X 16-Core @ 5.75GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG STRIX X670E-E GAMING WIFI (2124 BIOS), Chipset: AMD Device 14d8, Memory: 2 x 16GB DDR5-6000MT/s G Skill F5-6000J3038F16G, Disk: 2000GB Corsair MP700 PRO, Graphics: AMD Radeon RX 7900 GRE 16GB, Audio: AMD Navi 31 HDMI/DP, Monitor: DELL U2723QE, Network: Intel I225-V + Intel Wi-Fi 6E OS: Ubuntu 24.04, Kernel: 6.10.0-phx (x86_64), Desktop: GNOME Shell 46.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.2~git2406040600.8112d4~oibaf~n (git-8112d44 2024-06-04 noble-oibaf-ppa) (LLVM 17.0.6 DRM 3.57), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3840x2160 c: Processor: AMD Ryzen 9 9950X 16-Core @ 5.75GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG STRIX X670E-E GAMING WIFI (2124 BIOS), Chipset: AMD Device 14d8, Memory: 2 x 16GB DDR5-6000MT/s G Skill F5-6000J3038F16G, Disk: 2000GB Corsair MP700 PRO, Graphics: AMD Radeon RX 7900 GRE 16GB, Audio: AMD Navi 31 HDMI/DP, Monitor: DELL U2723QE, Network: Intel I225-V + Intel Wi-Fi 6E OS: Ubuntu 24.04, Kernel: 6.10.0-phx (x86_64), Desktop: GNOME Shell 46.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.2~git2406040600.8112d4~oibaf~n (git-8112d44 2024-06-04 noble-oibaf-ppa) (LLVM 17.0.6 DRM 3.57), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3840x2160 d: Processor: AMD Ryzen 9 9950X 16-Core @ 5.75GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG STRIX X670E-E GAMING WIFI (2124 BIOS), Chipset: AMD Device 14d8, Memory: 2 x 16GB DDR5-6000MT/s G Skill F5-6000J3038F16G, Disk: 2000GB Corsair MP700 PRO, Graphics: AMD Radeon RX 7900 GRE 16GB, Audio: AMD Navi 31 HDMI/DP, Monitor: DELL U2723QE, Network: Intel I225-V + Intel Wi-Fi 6E OS: Ubuntu 24.04, Kernel: 6.10.0-phx (x86_64), Desktop: GNOME Shell 46.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.2~git2406040600.8112d4~oibaf~n (git-8112d44 2024-06-04 noble-oibaf-ppa) (LLVM 17.0.6 DRM 3.57), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3840x2160 e: Processor: AMD Ryzen 9 9950X 16-Core @ 5.75GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG STRIX X670E-E GAMING WIFI (2124 BIOS), Chipset: AMD Device 14d8, Memory: 2 x 16GB DDR5-6000MT/s G Skill F5-6000J3038F16G, Disk: 2000GB Corsair MP700 PRO, Graphics: AMD Radeon RX 7900 GRE 16GB, Audio: AMD Navi 31 HDMI/DP, Monitor: DELL U2723QE, Network: Intel I225-V + Intel Wi-Fi 6E OS: Ubuntu 24.04, Kernel: 6.10.0-phx (x86_64), Desktop: GNOME Shell 46.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.2~git2406040600.8112d4~oibaf~n (git-8112d44 2024-06-04 noble-oibaf-ppa) (LLVM 17.0.6 DRM 3.57), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3840x2160 ACES DGEMM 1.0 Sustained Floating-Point Rate GFLOP/s > Higher Is Better a . 1157.36 |================================================================== b . 150.97 |========= c . 151.12 |========= d . 150.85 |========= e . 151.02 |========= Mobile Neural Network 2.9.b11b7037d Model: inception-v3 ms < Lower Is Better a . 22.42 |==================================================================== b . 16.27 |================================================= c . 15.11 |============================================== d . 15.32 |============================================== e . 14.91 |============================================= simdjson 3.10 Throughput Test: DistinctUserID GB/s > Higher Is Better a . 10.03 |================================================= b . 13.93 |==================================================================== c . 13.91 |==================================================================== d . 13.30 |================================================================= e . 13.23 |================================================================= simdjson 3.10 Throughput Test: PartialTweets GB/s > Higher Is Better a . 9.69 |================================================== b . 12.40 |================================================================ c . 12.99 |=================================================================== d . 12.96 |=================================================================== e . 13.25 |==================================================================== Mobile Neural Network 2.9.b11b7037d Model: squeezenetv1.1 ms < Lower Is Better a . 2.386 |==================================================================== b . 1.792 |=================================================== c . 1.769 |================================================== d . 1.877 |===================================================== e . 1.876 |===================================================== Mobile Neural Network 2.9.b11b7037d Model: mobilenetV3 ms < Lower Is Better a . 1.663 |==================================================================== b . 1.243 |=================================================== c . 1.279 |==================================================== d . 1.253 |=================================================== e . 1.254 |=================================================== simdjson 3.10 Throughput Test: TopTweet GB/s > Higher Is Better a . 10.27 |=================================================== b . 13.63 |==================================================================== c . 13.57 |==================================================================== d . 13.62 |==================================================================== e . 13.60 |==================================================================== Mobile Neural Network 2.9.b11b7037d Model: SqueezeNetV1.0 ms < Lower Is Better a . 3.502 |==================================================================== b . 2.690 |==================================================== c . 2.655 |==================================================== d . 2.651 |=================================================== e . 2.733 |===================================================== Mobile Neural Network 2.9.b11b7037d Model: MobileNetV2_224 ms < Lower Is Better a . 2.756 |==================================================================== b . 2.263 |======================================================== c . 2.089 |==================================================== d . 2.290 |========================================================= e . 2.282 |======================================================== OSPRay 3.2 Benchmark: particle_volume/scivis/real_time Items Per Second > Higher Is Better a . 9.18083 |================================================= b . 12.09750 |================================================================= c . 12.09980 |================================================================= d . 12.09130 |================================================================= e . 12.09490 |================================================================= OSPRay 3.2 Benchmark: particle_volume/ao/real_time Items Per Second > Higher Is Better a . 9.22669 |================================================== b . 12.07130 |================================================================= c . 12.08800 |================================================================= d . 12.09630 |================================================================= e . 12.09790 |================================================================= simdjson 3.10 Throughput Test: Kostya GB/s > Higher Is Better a . 6.00 |===================================================== b . 7.78 |==================================================================== c . 7.85 |===================================================================== d . 7.86 |===================================================================== e . 7.82 |===================================================================== LeelaChessZero 0.31.1 Backend: BLAS Nodes Per Second > Higher Is Better a . 176 |====================================================== b . 221 |==================================================================== c . 220 |=================================================================== d . 225 |===================================================================== e . 229 |====================================================================== LeelaChessZero 0.31.1 Backend: Eigen Nodes Per Second > Higher Is Better a . 174 |====================================================== b . 215 |=================================================================== c . 220 |===================================================================== d . 222 |===================================================================== e . 224 |====================================================================== Etcpak 2.0 Benchmark: Multi-Threaded - Configuration: ETC2 Mpx/s > Higher Is Better a . 596.92 |===================================================== b . 748.46 |=================================================================== c . 748.01 |=================================================================== d . 747.31 |=================================================================== e . 751.34 |=================================================================== Mobile Neural Network 2.9.b11b7037d Model: mobilenet-v1-1.0 ms < Lower Is Better a . 2.220 |==================================================================== b . 1.824 |======================================================== c . 1.796 |======================================================= d . 1.823 |======================================================== e . 1.853 |========================================================= Mobile Neural Network 2.9.b11b7037d Model: nasnet ms < Lower Is Better a . 10.696 |=================================================================== b . 9.022 |========================================================= c . 8.804 |======================================================= d . 8.667 |====================================================== e . 8.879 |======================================================== OSPRay 3.2 Benchmark: gravity_spheres_volume/dim_512/ao/real_time Items Per Second > Higher Is Better a . 8.08388 |====================================================== b . 9.84574 |================================================================== c . 9.51049 |================================================================ d . 9.81964 |================================================================== e . 9.83078 |================================================================== OSPRay 3.2 Benchmark: gravity_spheres_volume/dim_512/scivis/real_time Items Per Second > Higher Is Better a . 7.93212 |====================================================== b . 9.63883 |================================================================== c . 9.33382 |================================================================ d . 9.60483 |================================================================== e . 9.59345 |================================================================== OSPRay 3.2 Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time Items Per Second > Higher Is Better a . 9.21506 |====================================================== b . 11.04790 |================================================================= c . 11.02600 |================================================================= d . 11.06120 |================================================================= e . 11.05850 |================================================================= Mobile Neural Network 2.9.b11b7037d Model: resnet-v2-50 ms < Lower Is Better a . 10.514 |=================================================================== b . 9.027 |========================================================== c . 8.801 |======================================================== d . 8.882 |========================================================= e . 9.414 |============================================================ simdjson 3.10 Throughput Test: LargeRandom GB/s > Higher Is Better a . 1.82 |========================================================== b . 2.16 |===================================================================== c . 2.07 |================================================================== d . 2.16 |===================================================================== e . 2.07 |================================================================== OSPRay 3.2 Benchmark: particle_volume/pathtracer/real_time Items Per Second > Higher Is Better a . 241.04 |========================================================== b . 277.41 |=================================================================== c . 277.77 |=================================================================== d . 277.35 |=================================================================== e . 277.36 |=================================================================== GROMACS 2024 Implementation: MPI CPU - Input: water_GMX50_bare Ns Per Day > Higher Is Better a . 2.730 |=========================================================== b . 3.128 |==================================================================== c . 3.138 |==================================================================== d . 3.136 |==================================================================== e . 3.136 |==================================================================== Build2 0.17 Time To Compile Seconds < Lower Is Better a . 86.65 |==================================================================== b . 77.71 |============================================================= c . 75.63 |=========================================================== d . 75.79 |=========================================================== e . 76.06 |============================================================ Blender 4.2 Blend File: BMW27 - Compute: CPU-Only Seconds < Lower Is Better a . 51.94 |==================================================================== b . 46.06 |============================================================ c . 45.99 |============================================================ d . 45.92 |============================================================ e . 46.10 |============================================================ Blender 4.2 Blend File: Junkshop - Compute: CPU-Only Seconds < Lower Is Better a . 69.44 |==================================================================== b . 62.14 |============================================================= c . 61.70 |============================================================ d . 61.49 |============================================================ e . 61.50 |============================================================ POV-Ray Trace Time Seconds < Lower Is Better a . 17.90 |==================================================================== b . 16.19 |============================================================== c . 15.96 |============================================================= d . 15.87 |============================================================ e . 15.88 |============================================================ 7-Zip Compression Test: Compression Rating MIPS > Higher Is Better a . 175582 |============================================================ b . 195225 |=================================================================== c . 195578 |=================================================================== d . 194936 |=================================================================== e . 194758 |=================================================================== Blender 4.2 Blend File: Pabellon Barcelona - Compute: CPU-Only Seconds < Lower Is Better a . 159.08 |=================================================================== b . 144.34 |============================================================= c . 144.77 |============================================================= d . 144.06 |============================================================= e . 144.42 |============================================================= XNNPACK 2cd86b Model: FP32MobileNetV3Small us < Lower Is Better a . 749 |=============================================================== b . 827 |====================================================================== c . 818 |===================================================================== d . 814 |===================================================================== e . 810 |===================================================================== 7-Zip Compression Test: Decompression Rating MIPS > Higher Is Better a . 175017 |=================================================================== b . 159037 |============================================================= c . 159244 |============================================================= d . 159132 |============================================================= e . 159183 |============================================================= x265 Video Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 123.85 |============================================================= b . 135.11 |=================================================================== c . 133.93 |================================================================== d . 135.90 |=================================================================== e . 134.66 |================================================================== Stockfish Chess Benchmark Nodes Per Second > Higher Is Better a . 51640585 |================================================================= b . 50371860 |=============================================================== c . 47185663 |=========================================================== d . 50988324 |================================================================ e . 50168914 |=============================================================== x265 Video Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 35.58 |=============================================================== b . 38.67 |==================================================================== c . 38.47 |==================================================================== d . 38.43 |==================================================================== e . 38.49 |==================================================================== Blender 4.2 Blend File: Classroom - Compute: CPU-Only Seconds < Lower Is Better a . 139.45 |=================================================================== b . 128.88 |============================================================== c . 128.74 |============================================================== d . 128.96 |============================================================== e . 129.15 |============================================================== XNNPACK 2cd86b Model: QU8MobileNetV3Small us < Lower Is Better a . 706 |================================================================= b . 762 |====================================================================== c . 749 |===================================================================== d . 751 |===================================================================== e . 751 |===================================================================== XNNPACK 2cd86b Model: FP16MobileNetV3Small us < Lower Is Better a . 721 |================================================================= b . 778 |====================================================================== c . 774 |====================================================================== d . 770 |===================================================================== e . 773 |====================================================================== XNNPACK 2cd86b Model: QU8MobileNetV2 us < Lower Is Better a . 811 |====================================================================== b . 764 |================================================================== c . 763 |================================================================== d . 758 |================================================================= e . 759 |================================================================== Blender 4.2 Blend File: Fishy Cat - Compute: CPU-Only Seconds < Lower Is Better a . 68.17 |==================================================================== b . 65.17 |================================================================= c . 65.05 |================================================================= d . 64.41 |================================================================ e . 64.56 |================================================================ XNNPACK 2cd86b Model: FP32MobileNetV2 us < Lower Is Better a . 1221 |================================================================= b . 1292 |===================================================================== c . 1284 |===================================================================== d . 1274 |==================================================================== e . 1290 |===================================================================== XNNPACK 2cd86b Model: FP16MobileNetV3Large us < Lower Is Better a . 1236 |================================================================= b . 1303 |===================================================================== c . 1291 |==================================================================== d . 1292 |==================================================================== e . 1298 |===================================================================== XNNPACK 2cd86b Model: FP32MobileNetV3Large us < Lower Is Better a . 1503 |================================================================== b . 1582 |===================================================================== c . 1560 |==================================================================== d . 1549 |==================================================================== e . 1533 |=================================================================== Blender 4.2 Blend File: Barbershop - Compute: CPU-Only Seconds < Lower Is Better a . 464.08 |=================================================================== b . 443.27 |================================================================ c . 443.91 |================================================================ d . 443.64 |================================================================ e . 444.52 |================================================================ Y-Cruncher 0.8.5 Pi Digits To Calculate: 1B Seconds < Lower Is Better a . 16.05 |================================================================= b . 16.68 |==================================================================== c . 16.66 |==================================================================== d . 16.63 |==================================================================== e . 16.74 |==================================================================== XNNPACK 2cd86b Model: QU8MobileNetV3Large us < Lower Is Better a . 1092 |=================================================================== b . 1127 |===================================================================== c . 1119 |===================================================================== d . 1105 |==================================================================== e . 1116 |==================================================================== XNNPACK 2cd86b Model: FP16MobileNetV2 us < Lower Is Better a . 982 |===================================================================== b . 998 |====================================================================== c . 982 |===================================================================== d . 984 |===================================================================== e . 980 |===================================================================== Y-Cruncher 0.8.5 Pi Digits To Calculate: 500M Seconds < Lower Is Better a . 7.718 |==================================================================== b . 7.734 |==================================================================== c . 7.667 |=================================================================== d . 7.661 |=================================================================== e . 7.663 |===================================================================