july Intel Core i7-1185G7 testing with a Dell XPS 13 9310 0DXP1F (3.7.0 BIOS) and Intel Xe TGL GT2 15GB on Ubuntu 23.10 via the Phoronix Test Suite. a: Processor: Intel Core i7-1185G7 @ 4.80GHz (4 Cores / 8 Threads), Motherboard: Dell XPS 13 9310 0DXP1F (3.7.0 BIOS), Chipset: Intel Tiger Lake-LP, Memory: 8 x 2GB LPDDR4-4267MT/s, Disk: Micron 2300 NVMe 512GB, Graphics: Intel Xe TGL GT2 15GB (1350MHz), Audio: Realtek ALC289, Network: Intel Wi-Fi 6 AX201 OS: Ubuntu 23.10, Kernel: 6.7.0-060700rc5-generic (x86_64), Desktop: GNOME Shell 45.1, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.0~git2312220600.68c53e~oibaf~m (git-68c53ec 2023-12-22 mantic-oibaf-ppa), OpenCL: OpenCL 3.0, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200 b: Processor: Intel Core i7-1185G7 @ 4.80GHz (4 Cores / 8 Threads), Motherboard: Dell XPS 13 9310 0DXP1F (3.7.0 BIOS), Chipset: Intel Tiger Lake-LP, Memory: 8 x 2GB LPDDR4-4267MT/s, Disk: Micron 2300 NVMe 512GB, Graphics: Intel Xe TGL GT2 15GB (1350MHz), Audio: Realtek ALC289, Network: Intel Wi-Fi 6 AX201 OS: Ubuntu 23.10, Kernel: 6.7.0-060700rc5-generic (x86_64), Desktop: GNOME Shell 45.1, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.0~git2312220600.68c53e~oibaf~m (git-68c53ec 2023-12-22 mantic-oibaf-ppa), OpenCL: OpenCL 3.0, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200 GPUScore: Breaking Limit 1.0 Resolution: 1920 x 1080 - Ray-Tracing: Off FPS > Higher Is Better GPUScore: Breaking Limit 1.0 Resolution: 1920 x 1200 - Ray-Tracing: Off FPS > Higher Is Better Intel Open Image Denoise 2.3 Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only Images / Sec > Higher Is Better a . 0.15 |===================================================================== b . 0.15 |===================================================================== Intel Open Image Denoise 2.3 Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only Images / Sec > Higher Is Better a . 0.15 |===================================================================== b . 0.15 |===================================================================== Intel Open Image Denoise 2.3 Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only Images / Sec > Higher Is Better a . 0.07 |===================================================================== b . 0.07 |===================================================================== NAMD 3.0b6 Input: ATPase with 327,506 Atoms ns/day > Higher Is Better a . 0.54822 |================================================================= b . 0.55451 |================================================================== NAMD 3.0b6 Input: STMV with 1,066,628 Atoms ns/day > Higher Is Better a . 0.15997 |=============================================================== b . 0.16870 |================================================================== QuantLib 1.35-dev Size: XXS tasks/s > Higher Is Better a . 2.19522 |================================================================== b . 2.20574 |================================================================== PyPerformance 1.11 Benchmark: go Milliseconds < Lower Is Better a . 106 |================================================================== b . 113 |====================================================================== PyPerformance 1.11 Benchmark: chaos Milliseconds < Lower Is Better a . 48.3 |===================================================================== b . 48.4 |===================================================================== PyPerformance 1.11 Benchmark: float Milliseconds < Lower Is Better a . 54.3 |===================================================================== b . 54.6 |===================================================================== PyPerformance 1.11 Benchmark: nbody Milliseconds < Lower Is Better a . 62.4 |==================================================================== b . 63.5 |===================================================================== PyPerformance 1.11 Benchmark: pathlib Milliseconds < Lower Is Better a . 12.1 |==================================================================== b . 12.2 |===================================================================== PyPerformance 1.11 Benchmark: raytrace Milliseconds < Lower Is Better a . 217 |====================================================================== b . 215 |===================================================================== PyPerformance 1.11 Benchmark: xml_etree Milliseconds < Lower Is Better a . 42 |======================================================================= b . 42 |======================================================================= PyPerformance 1.11 Benchmark: gc_collect Milliseconds < Lower Is Better a . 791 |====================================================================== b . 791 |====================================================================== PyPerformance 1.11 Benchmark: json_loads Milliseconds < Lower Is Better a . 14.9 |===================================================================== b . 14.9 |===================================================================== PyPerformance 1.11 Benchmark: crypto_pyaes Milliseconds < Lower Is Better a . 53.0 |===================================================================== b . 53.1 |===================================================================== PyPerformance 1.11 Benchmark: async_tree_io Milliseconds < Lower Is Better a . 983 |====================================================================== b . 984 |====================================================================== PyPerformance 1.11 Benchmark: regex_compile Milliseconds < Lower Is Better a . 103 |====================================================================== b . 102 |===================================================================== PyPerformance 1.11 Benchmark: python_startup Milliseconds < Lower Is Better a . 8.21 |===================================================================== b . 8.24 |===================================================================== PyPerformance 1.11 Benchmark: asyncio_tcp_ssl Milliseconds < Lower Is Better a . 1.95 |==================================================================== b . 1.97 |===================================================================== PyPerformance 1.11 Benchmark: django_template Milliseconds < Lower Is Better a . 25.4 |===================================================================== b . 25.3 |===================================================================== PyPerformance 1.11 Benchmark: asyncio_websockets Milliseconds < Lower Is Better a . 268 |====================================================================== b . 269 |====================================================================== PyPerformance 1.11 Benchmark: pickle_pure_python Milliseconds < Lower Is Better a . 212 |====================================================================== b . 212 |====================================================================== Gcrypt Library 1.10.3 Seconds < Lower Is Better a . 207.42 |=================================================================== b . 208.38 |=================================================================== Blender 4.2 Blend File: BMW27 - Compute: CPU-Only Seconds < Lower Is Better a . 410.06 |=================================================================== b . 411.72 |=================================================================== Blender 4.2 Blend File: Fishy Cat - Compute: CPU-Only Seconds < Lower Is Better a . 574.44 |=================================================================== b . 574.02 |=================================================================== Blender 4.2 Blend File: Pabellon Barcelona - Compute: CPU-Only Seconds < Lower Is Better a . 1396.72 |================================================================== b . 1392.46 |==================================================================