![]() The benchmarks are in seconds, and a lower number indicates the render speed. In order of shortest to longest are bmw_27, fishy_cat, koro, classroom, pavilion_barcelona, and victor. On average, the rendering time of the benchmarks varies in length. I ran the five benchmarks together rather than waiting for one to finish and then letting it cool down. The Metal API is not integrated into Blender for GPU acceleration. I only did the CPU compute since that is the only device that the benchmark supports on the MacBook. There are options for benchmarking different devices in the scene, i.e., CPU compute, GPU compute with CUDA, Optix with GPU, and NVIDIA Raytracing acceleration. Blender has an automated benchmarking tool with six benchmarks that Blender renders scenes. Blender is a free and open-source 3D software that supports modeling, rigging, animation, simulation, rendering, compositing. Both systems were updated to the latest OS version before testing.īlender was the longest test that I did. 32GB DDR4 16GB DDr4 onboard memory and 16GB DDR4-3200 So-DIMM memoryĪpart from the MacBook having two extra efficiency cores, the Zephyrus and MacBook have the same number of performance cores, same 16-inch form factor, amount of memory for the CPU, and the same amount of storage.NVIDIA GeForce RTX 3060 with 6GB GDDR6 dedicated memory.10-core CPU with 8 performance cores and 2 efficiency cores.That is why I am leaving it up to the Redshift benchmark to showcase the M1 Max’s GPU performance.īlender benchmarks were measured in seconds for the Zephyrus m16 (GPU, CUDA) and MacBook Pro m16. Blender does support the M1 Max GPU in Alpha but it is only experimental and is not recommended for studio use. I completely understand that the CPU and GPU benchmarks are not a one-to-one comparison and that most of the delta is due to a lack of support for GPU rendering in these programs Those that need the performance are not going to wait around for the GPU support. However, the difference does not express the raw and fair performance of the MacBook Pro M1 Max since the difference is primarily a lack of support. I believe this is a significant performance difference that should be considered when comparing the two systems. The Zephyrus m16 rendered the benchmarks 89% faster than the MacBook Pro M1 Max and 78% faster for the top three of the five longest renders. I took the percentage difference between the Zephyrus m16 CUDA and the MacBook Pro M1 Max CPU for each of the five benchmarks and then averaged the percentage difference between the five benchmarks. To give a perspective on the performance of the GPU, I ran the Blender CUDA benchmark on the Zephyrus m16 with a GeForce RTX 3060. For Blender, it was up to 7% on the longer renders, for KeyShot and V-Ray was about 2% and for Redshift, it was about 28% difference in performance.įor all of the benchmarks, all except for Redshift, the MacBook ProM1 Max could not benchmark using the GPU compute (CUDA). ![]() Turbo mode is only available when connected to AC power and maximizes power to the CPU and GPU for a bump in performance. The stock mode is set up to achieve greater performance while taking into consideration energy efficiency. I also think it is important to show that the Intel-based system is set up in such a way that OEMs and even users can achieve greater performance. The entire article is about both systems in their stock form. I also wanted to mention why I included Asus’ Turbo Mode in the benchmarks. I kept both systems at stock settings, with the one exception of changing the screen timeout so that the systems do not go into sleep mode while benchmarking. The setting under Battery>Battery>Energy Mode is set to automatic, which "will automatically choose the best level of performance and energy usage." Similarly, the Zephyrus m16 has settings to change in Windows 11 settings and Asus' Armoury Crate. For example, the MacBook I used for testing under the settings Battery>Power Adapter> Energy Mode is already set to High Power. Most systems out of the box have higher performance configurations when running on AC. For the testing of both systems, I ran the benchmarks on AC (plugged in its stock charger) rather than DC to give both systems the chance to perform at their best.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |