On the other hand, random write access is not possible in any efficient manner (the only way to do is rendering triangles by texture driven vertex data). We are hesitant to compare different vendor architecture GPUs using OpenCL scores, but we have . It's not an indicator of gaming performance, nevertheless, it gives us a peek at what kind of compute performance the card has against its competitors. The data on this chart is calculated from Geekbench 6 results users have uploaded to the Geekbench Browser. @wotanii: GLSL is the shading language used by OpenGL. Leapfrogs the GTX 1650 Ti mobile but limited by 2GB VRAM. These scores are averaged together to determine an overall, or Geekbench, score for the system. And the test shares some eye-opening results, where Samsung's upcoming SoC goes . OpenCL exposes you to almost exactly what's going on.' Is "I didn't think it was serious" usually a good defence against "duty to rescue"? So please watch out if this codec acceleration feature would be important to you. Theintegerworkloads measure how quickly the CPU performs calculations with integer numbers; that is, whole numbers that don't involve any decimal points. OpenCL which requires only simple thing like driver, amdgpu-pro, shipped with all nesesary libs (i did OpenCL miner firmware with only 50mb footprint). A score of 44,638 looks great for a GeForce MX GPU if you care to browse through the online database. Cinebench and Geekbench Compute (OpenCL) scores are harder to interpret. I know Nvidia Shaders do more work in 1 clock cycle than ATI. It means that the A770 as configured is a long way behind high end AMD and Nvidia offerings. The scores for different APIs are comparable so getting C1000 and M10 means your graphic card can handle 100x more calculations per second than your CPU. Both are new, clean installs each on thair own SSD. Second, where is Slot-1 - on the top or on the bottom? To make sure the results accurately reflect the average performance of each GPU, the chart only includes GPUs with at least five unique results in the Geekbench Browser. Where can I find a clear diagram of the SPECK algorithm? rev2023.5.1.43405. Nevertheless, the headline score of 44,638 in Geekbench's OpenCL tests is worthy of note, as the score beats the GeForce GTX 1650 Ti and is within earshot of the upcoming GeForce RTX 2050. This article explains the conditions we perform our Geekbench tests in, and what the results mean in practical use. Also, OpenGL compute shaders require 4.x-capable hardware, while OpenCL can run on much more inferior hardware. I have now the same OpenCL Score like my old RX580 on macOS and on Windows about 40,000 Points more! Yes: it's a graphics API. While almost all software makes use of floating point instructions, floating point performance is especially important in video games, digital content creation, and high-performance computing applications. Okay, I had a little time today to run a fresh series of Geekbench tests in both Sierra and High Sierra. Despite the graphic related terminology and inpractical datatypes, is there any real caveat to OpenGL? I wonder if just counting kernel loops will equate to real world performance, when comparing ATI to Nvidia in OpenCL apps? My specific experience of this has been doing image filter (gather) kernels across AMD, nVidia, IMG and Qualcomm GPUs. ;). Visit our corporate site (opens in new tab). While the Vega FE does not have a CUDA score, it does show a good OpenCL score which is slightly higher than the AMD Radeon Pro WX 8200. . OpenGL, in opposite, has strict division to CPU, which is task producer & GPU, which is task consumer. What features make OpenCL unique to choose over OpenGL with GLSL for calculations? The Vega FE takes the lead here with considerable performance jump over the Radeon Pro WX 8200. While OpenGL is supported pretty much everywhere, OpenCL is totally lacking support on mobile devices and, imho, is highly unlikely to appear on Android or iOS in the next few years. Can you publish the code? Welcome to the Geekbench OpenCL Benchmark Chart. Something that hasn't been mentioned in any answers so far has been speed of execution. LuxMark. Connect and share knowledge within a single location that is structured and easy to search. OpenGL has better memory barrier and atomics support now and allows you to allocate things to different registers within the GPU (to about the same degree OpenCL can). Making statements based on opinion; back them up with references or personal experience. Again, because the score-to-performance relationship is linear, a CPU with a multi-core score of 4,000 can generally run a task four times faster than a single thread on the i3-8100 if all system resources are dedicated to that task. However, this test utilizes all available threads on all cores to test how well they perform and schedule tasks among themselves. Is there any known 80-bit collision attack? The two platforms are about 80% the same, but have different syntax quirks, different nomenclature for roughly the same components of the hardware. @Simon In a broad sense, yes you are right. API OpenCL OpenCL Score 1068 System iPad Air (5th generation) Apple M1 3190 MHz (8 cores) Uploaded Apr 17, 2023 Platform iOS API Metal Metal Score 32434 System ASUSTeK COMPUTER INC. ROG Strix G634JY_G634JY Intel Core i9-13980HX 2200 MHz (24 cores) Uploaded Apr 17, 2023 Platform Windows API OpenCL OpenCL Score 196703 Version 0.2 tests sequential write and read speeds. For more information, see our articles for ourBasemark GPUandgame benchmarks. OpenCL is not a graphics API; it's a computation API. The baseline score of 1,000 corresponds to the single-thread performance of an Intel Core i3-8100, an entry-level quad-core desktop CPU released in late 2017; because the score is designed to be linear, double the score means doubled performance, half the score means halved performance, and so on. It scores a laptop's CPU performance when running several tasks, using a single thread or multiple threads. Integer Integer workloads measure the integer instruction performance of your computer by performing processor-intensive tasks that make heavy use of integer instructions. This chart was last updated about 15 hours ago. Best SSD for gaming (opens in new tab): Get into the game ahead of the rest. Programming FPGAs with OpenCL is now becoming mainstream. thanks! OpenCL 3.0 reverts back to OpenCL 1.2 (making 2.0 features largely optional). For a better experience, please enable JavaScript in your browser before proceeding. Not the answer you're looking for? image processing. Generally speaking, the higher the Geekbench score, the faster the laptop feels overall. Subsection Scores A subsection score is the geometric mean of all the workload scores for workloads that are part of the subsection. There isn't one single laptop that performs incredibly well for every workload. Future US, Inc. Full 7th Floor, 130 West 42nd Street, When you purchase through links on our site, we may earn an affiliate commission. You must log in or register to reply here. Intel is ramping up its marketing campaign. We've seen a few teasers now including a slick preview video (opens in new tab), and a demonstration of XeSS (opens in new tab), which is Intel's image upscaling technology. All software makes heavy use of integer instructions, meaning a high integer score indicates good overall performance. Each workload's performance is compared against a baseline to determine a score. Can my creature spell be countered if I cast a split second spell after it? I'm pretty sure it isn't doing 8x the amount of work. The battery benchmark can be run in Full Discharge mode, from 100% to 0% battery level, to provide a high level of confidence in a device's battery performance. OpenGL 3.3, GLSL 1.5: How to setup a Texture Buffer Object containing various texture2D? Canadian of Polish descent travel to Poland with Canadian passport, tar command with and without --absolute-names option. Also, OpenCL obviously works with a much greater variety of hardware than just the graphics card, and it does not have a rigid graphics-oriented pipeline with "artificial constraints". The OpenCL score remains the same - is there a problem? The card managed to pass the OpenCL test benchmarks with a score of 169779 points. Again though, it's important to remember that OpenCL performance isn't reflective of gaming performance. On the two simplest test cases, OpenCL runs about 14 and 24 times as fast as on the CPU. Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. ago New OpenCL score of 228,647 and Vulkan score of 179,579, putting it squarely between Nvidia's GeForce RTX 4090 and RTX 4080. jzltk 4 mo. With Geekbench 4, higher scores are better, with double the score indicating double the performance. But OpenGL GLSL 1.10 is still running on all macOS although deprecated the past decade. (By Pat. You are using an out of date browser. Is this possible with OpenCL? It aims to (1) Promote the rapid development of OpenCL host programs in C (with support for C++) and avoid the tedious and error-prone boilerplate code usually required (2) Assist in the benchmarking of OpenCL events, such as kernel execution and data transfers. As a consumer with a limited budget, getting the most out of your laptop is a compromise between finding the laptop model that best suits your needs and its cost. We don't use it in our Geekbench tests because this test isn't designed strictly to measure game performance. I don't know if it matters at all but my display is plugged into the card in slot 1. We can expect the cards to launch sometime over the summer, or winter for our southern hemisphere friends. A processor with multithreading technology performs better than a processor with the same amount of cores without the capability; however, it performs worse than a processor with the same number of physical cores as the CPU with multiple threads per core. 1 Answer. We recommend a PCMark 10 Productivity score 4500 or higher. Another thing we have spotted is that the 'GeForce MX570 A' will be a variant released lacking NVENC/NVDEC support. Though to profit from such things you also need to be a bit more aware of the specific hardware your kernel will run on, but don't try to explicitly take those things into account using a shader (if even completely possible). For broad support, use a library with different backends instead of direct GPU programming (if this is possible for your requirements). For example, parallel function evaluation can be done by rendering a to a texture using other textures. Navi 21 [Radeon RX 6800/6800 XT / 6900 XT], NVIDIA GeForce RTX 2080 with Max-Q Design, NVIDIA GeForce RTX 2080 Super with Max-Q Design, NVIDIA GeForce RTX 2070 Super with Max-Q Design, ATI Radeon Pro Vega II Duo Compute Engine, NVIDIA GeForce RTX 2070 with Max-Q Design, AMD Radeon Pro Vega II Duo Compute Engine, AMD Radeon Unknown Prototype Compute Engine, NVIDIA GeForce RTX 2060 with Max-Q Design, ATI Radeon HD Vega10 XT Prototype Compute Engine, Navi 10 [Radeon RX 5600 OEM/5600 XT / 5700/5700 XT], NVIDIA GeForce GTX 1660 Ti with Max-Q Design, ATI Radeon RX Vega10 Unknown Prototype Compute Engine, AMD Radeon RX 5700 XT 50th Anniversary Compute Engine, ATI Radeon Vega Frontier Edition Compute Engine, AMD Radeon Pro AMD RADEON RX 5700 XT Compute Engine, AMD Radeon Vega Frontier Edition Compute Engine, Ellesmere [Radeon RX 470/480/570/570X/580/580X/590], ATI Radeon RX 5700 XT 50th Anniversary Compute Engine, ATI Radeon Unknown Prototype Compute Engine, NVIDIA GeForce GTX 1650 Ti with Max-Q Design, ATI Radeon HD Hawaii XT Prototype Compute Engine, AMD Radeon HD Hawaii PRO Prototype Compute Engine, Navi 14 [Radeon RX 5500/5500M / Pro 5500M], NVIDIA GeForce GTX 1080 with Max-Q Design, ATI Radeon HD Hawaii PRO Prototype Compute Engine, AMD Radeon Pro Radeon RX 580 Compute Engine, ATI Radeon HD Hawaii Unknown Prototype Compute Engine, NVIDIA GeForce GTX 1650 with Max-Q Design, ATI Radeon HD Fiji XT Prototype Compute Engine, ATI Radeon HD Tahiti XT Prototype Compute Engine, AMD Radeon HD Fiji XT Prototype Compute Engine, AMD Radeon HD Tahiti XT Prototype Compute Engine, NVIDIA GeForce GTX 1070 with Max-Q Design, ATI Radeon HD - FirePro D700 Compute Engine, AMD Radeon HD - FirePro D700 Compute Engine, ATI Radeon HD Tonga XT Prototype Compute Engine, NVIDIA GeForce GTX 1060 with Max-Q Design, AMD Radeon HD Tahiti LE Prototype Compute Engine, ATI Radeon HD Tonga PRO Prototype Compute Engine, AMD Radeon HD Amethyst XT Prototype Compute Engine, ATI Radeon HD Pitcairn PRO Prototype Compute Engine, ATI Radeon HD Ellesmere Prototype Compute Engine, AMD Radeon HD Ellesmere Prototype Compute Engine, Intel(R) Iris(R) Xe MAX Graphics [0x4905], AMD Radeon HD Pitcairn PRO Prototype Compute Engine, ATI Radeon HD Pitcairn Unknown Prototype Compute Engine, ATI Radeon HD Pitcairn XT Prototype Compute Engine, AMD Radeon HD - FirePro D300 Compute Engine, ATI Radeon HD Baffin Unknown Prototype Compute Engine, ATI Radeon HD - FirePro D300 Compute Engine, ATI Radeon HD - FirePro D500 Compute Engine, AMD Radeon HD - FirePro D500 Compute Engine, AMD Radeon HD Baffin Prototype Compute Engine, AMD Radeon HD Ellesmere Unknown Prototype Compute Engine, NVIDIA GeForce GTX 1050 Ti with Max-Q Design, Intel(R) Gen12 Desktop Graphics Controller, AMD Radeon HD Saturn XT Prototype Compute Engine, AMD Radeon HD Emerald XT Prototype Compute Engine, AMD Radeon HD Baffin Unknown Prototype Compute Engine, ATI Radeon HD Verde XT Prototype Compute Engine, AMD Radeon HD Bonaire Unknown Prototype Compute Engine, NVIDIA GeForce GTX 1050 with Max-Q Design, AMD Radeon HD Verde PRO Prototype Compute Engine, ATI Radeon HD Verde PRO Prototype Compute Engine, Intel(R) RaptorLake-S Mobile Graphics Controller, AMD Radeon HD Verde Unknown Prototype Compute Engine, AMD Radeon HD Chelsea PRO Prototype Compute Engine, AMD Radeon R7 Graphics + R7 200 Dual Graphics, AMD FirePro W4100 (FireGL V) Graphics Adapter, ATI FirePro V7800 (FireGL) Graphics Adapter, Intel(R) Gen12 Mobile Graphics Controller, AMD FirePro V5900 (FireGL V) Graphics Adapter. Updated Jan 25, 2023 - A refurbished Android phone like the S9 is still a good value . However, we were warned that it would be in some way limited compared to RTX prefixed graphics chips. Basically, more Exynos 2400 scores have come out. We don't yet have a clear understanding of how the various cards will compete with their AMD and Nvidia competitors, but hints are emerging, including a new Geekbench 5 OpenCL benchmark for the Arc A770. With OpenGL 4.3 and OpenGL ES 3.1 compute shaders, things become a bit more muddled. Pinch of salt required. Using this tool one can assess the practical optimum balance in both types of operations for a GPU. Even so, compute shaders do not change one fact: OpenCL compute operations operate at a very different precision than OpenGL's compute shaders. Platform iOS A good example would be simulating the motion of a thousand stars around a black hole. OpenGL has gained the ability to sort things into different areas of Client and Server memory since a lot of the other posts here have been made. The GPU compute benchmark measures how well a laptop's graphics card performs compute tasks like image processing, face detection, and physics simulations. And well, I didn't come up with the idea to OpenCL in the first place - but as somebody else did, why shouln't it be put to its intended use? Heres how it works. Best gaming motherboard (opens in new tab): The right boards talk in terms of textures and geometric primitives like triangles etc.) The counting kernel loops thing has me wondering now :), Powered by Discourse, best viewed with JavaScript enabled. This means, generally speaking, if other threads are busy working on background tasks, the CPU can still run main tasks quickly. It is implemented on top ofViennaCLand is available on Windows, Linux, and Mac OS platforms. I assume one of the . 1) OpenCL device can be a cpu, without any gpus and still working where graphics render fails at all. It will optimize the assignment of shader resources assuming you're drawing a picture. This may be annoying if you have a lengthy operation. However, this means that statistics like gigahertz or core count are no longer a good way to compare the performance of two different laptops. The final numerical score that Geekbench presents for single-thread, multi-thread, and GPU compute workloads are only a weighted value of the laptop's performance in different types of operations. what is it all for? If your algorithm can be expressed in OpenGL graphics (e.g. PC Gamer is part of Future US Inc, an international media group and leading digital publisher. Compute in OpenGL lives to service the graphics pipeline. While it is possible to compare scores across APIs (e.g., a OpenCL score with a Metal score) it is important to keep in mind that due to the nature of Compute APIs the performance difference can be due to more than differences in the underlying hardware. The MX570 GPU is said by Nvidia to be approx 3x faster (opens in new tab) than Intel's 12th Gen Mobile i7 Iris Xe integrated graphics. Intel Graphics Teams Up With Siru Innovations, Trio of AMD RDNA2 GPUs Debut in the Steam Hardware Survey, Third-Party Tool Saves Power On Nvidia Graphics Cards. The memory access patterns are though the same (your calculation still is happening on a GPU - but GPUs are getting more and more flexible these days). The M1 chip limited by 16GB of RAM, the best in class iGPU whose performance is comparable to a GTX 1050 Ti and that allows battery life from 10 hours to 20 hours will have a future variant for higher-end Macs with more RAM, an iGPU that has better than GTX 1050 Ti performance and battery life of ~2x. Higher scores are better, with double the score indicating double the performance. CLBenchmark compares the strengths and weaknesses of different hardware architectures such as CPUs, GPUs and APUs. But you don't want to; not while there's a perfectly viable alternative. The Geekbench Compute Benchmark, developed by Primate Labs, measures the performance of GPUs performing common compute tasks, e.g. New improved version 0.45, with better workload balancing. Generally speaking, these computations are better executed on dedicated gaming or workstation graphics cards. How can OpenGL be faster than OpenCL? I think that would easily be possible by using interpolation by some index given to the compute kernel for every invocation. GPUs are designed to perform graphical workloads like rendering video games, but this benchmark measures how well they can perform computational tasks, like dividing large matrices. Also, OpenCL just gives you access to more stuff. To claim that OpenCL is not good for graphics because it is designed for computing doesn't make sense because graphics processing is computing. The Dell XPS Desktop configuration I reviewed is the one I'd recommend to most people, as it upgrades the memory and storage to accompany the powerful internals better. Content Discovery initiative April 13 update: Related questions using a Review our technical responses for the 2023 Developer Survey, IDEAs: how to interactively render large image series using GPU-based direct volume rendering. Geekbench 4 uses several workloads to measure Compute performance. Version 0.3 added sequential copy. On the flip side, this doesn't necessarily mean that it also has good single-thread performance. These scores are useful for determining the performance of the computer in a particular area. While it is true that sometimes fixed function hardware can be avoided (e.g. The final benchmark results are a good reference point that can help you compare different laptops so you can find the best one that suits your needs. It also scores a laptop's GPU performance in computational, as opposed to graphical, workloads. There are parts of GPU hardware which vanilla CL won't use but that won't keep a separate extension from doing so. For instance, if you intend to perform only light productivity tasks and don't need to multitask very much, you probably only need a laptop with a dual-core, 2-thread CPU. Otherwise, we use the OpenCL API, which we use for Intel or AMD integrated graphics, or a dedicated AMD graphics card. Even though these tasks are vastly different than graphical workloads, they're still a good indication of how well the GPU runs graphical tasks like 3D rendering and video games. But, according to Wikipedia "General-purpose computing on graphics processing units (GPGPU, rarely GPGP or GPU) is the utilization of a graphics processing unit (GPU), which typically handles computation only for computer graphics, to perform computation in applications traditionally handled by the central processing unit (CPU)" (they have additional references that I omit now). If you're curious how your Android smartphone or tablet compares, you can download Geekbench 6 and run it on your Android device to find out its score. random memory access if the implementation allows it, but what would be the benefit if it turns out that by doing this the driver just swaps your whole computation to the host instead of the hw your code is supposed to run on @cli_hlt: You get to decide what device your task queues (an thus kernels) will run on, beforehand. The test results are listed in a transparent and public OpenCL . How to dynamically bind an array of multiple texture coordinates sets for mixing in modern OpenGL? You can do anything in GL (it is Turing-complete) but then you are driving in a nail using the handle of the screwdriver as a hammer. Individual operations tend to be about the same between GL/CL but the GLSL compilers seem more mature and produce overall tighter code. Geekbench 5 measures the performance of your device by performing tests that are representative of real-world tasks and applications. We use Geekbench 5 to measure the performance of a laptop alongside our Cinebench R23, Blender, Basemark GPU, and game benchmarks. This is in contrast to multi-thread performance, which mostly affects applications that benefit from having other instructions being run simultaneously. On some (all?) This compares to a GeForce RTX 2070 at 85818 and a Radeon RX 6600 XT at 82559. As a result, we can't give any direct comparisons regardless of whether the CPU is ARM- or x86-based. Most GPU programming is done on CUDA. If you want to know whether a laptop can process photo edits, run physics simulations, or compile code quickly enough to suit your needs, you can look to a Geekbench benchmark. Very light CPU utilization, showing only 2%. The numerical score doesn't mean anything in itself but is useful in comparisons. It is a slim and light business-like design that has been around for several generations. The purpose is to uniformize the execution and monitoring of kernels, typically used in past and current publications. work_group_all and work_group_any ensuring that both low-end devices and high-end devices are used to their best of their capability. in order to get your computation going. Memory Memory workloads measure memory latency and bandwidth. Apple's own software still also includes a fair amount of OpenCL implementations. The FICO score is the brand of credit score used by most consumer lenders, so it's the one to pay the most attention to. ", Question: If scores for both CPUs and GPUs are generated by counting mega kernel loops (10^6) per second. A complete description of the individual Geekbench 4 CPU workloads can be found on the Geekbench website. It may not display this or other websites correctly. The only reason to pick OpenGL for any kind of non-rendering compute operation is to support hardware that can't run OpenCL. Version v0.44 looked like this loaded up: First 1/2 of my 295 reporting 61% utilization, Second 1/2 of my 295 reporting 58% utilization, 280 checking in at a whopping 92% utilization (Go Dedicated PhysX processor!). Geekbench 5 provides three different kinds of scores: Workload Scores Each time a workload is executed Geekbench calculates a score based on the computer's performance compared to the baseline performance. 2. (Image credit: Future) This isn't to say that the Steam Deck isn't comfortable to hold and play on. Just look at the 6800 XT and 3080 results above. OpenCL Score 43189 System MacPro5,1 Intel Xeon X5690 3460 MHz (12 cores) Uploaded Sun, 30 Apr 2023 06:16:45 +0000. This way you can profit from things like shared memory or coalesced memory access more directly, which would otherwise be burried in the actual implementation of the shader (which itself is nothing more than a special OpenCL/CUDA kernel, if you want). Subsection Scores A subsection score is the geometric mean of all the workload scores for workloads that are part of the subsection. Thing is that you don't know at all what happens because everything is essentially driver dependent. Do you have any feedback about this article? Geekbench 6 scores are calibrated against a baseline score of 2500 (which is the score of an Intel Core i7-12700 performing the same task). The A770 returns an OpenCL score of 85585. To subscribe to this RSS feed, copy and paste this URL into your RSS reader. Geekbench 4 battery scores measure the battery life of a device when running processor-intensive applications. Visit our corporate site (opens in new tab). The baseline score of 1,000 corresponds to the single-thread performance of an Intel Core i3-8100, an entry-level quad-core desktop CPU released in late 2017. BabelStream is a benchmark used to measure the memory transfer rates to/from capacity memory. To make sure the results accurately reflect the average performance of each GPU, the chart only includes GPUs with at least five unique results in the Geekbench Browser. OpenCL, in some ways, is an evolution of OpenGL in the sense that OpenGL started being used for numerical processing as the (unplanned) flexibility of GPUs allowed so. The principle of operation is similar in both cases, but Intel's implementation is proprietary, so its exact mechanism of action isn't publicly known. Writing a shader in OpenCL, pending the library extensions were supplied, doesn't sound like a painful experience at all. It's not an indicator of gaming performance, nevertheless, it gives us a peek at. The following operations are currently implemented: Dense matrix-matrix products (GEMM), Sparse matrix-vector products (SpMV with Matrix Market reader), Vector operations (AXPY) and Host-Device bandwidth (PCI-Express, etc.). Or renderer (150+mb) which requires more messing, several heavy frameworks, xorgs and so on, and things are done like inside mesa3d/gallium and so on. Whether youre looking to promote your product or service, extend your brand recognition or connect with the OpenCL and SYCL development community, we can help you achieve your goals through our flexible sponsorship packages. 8GB + 128GB; 12GB + 256GB; 12GB + 512GB; 12GB + 1TB; Camera. I'm very grateful to Damiano for . For example, different GPU drivers can have a huge impact on performance. Best graphics card (opens in new tab): Your perfect pixel-pusher awaits Intel's implementation is called "Hyper-Threading Technology," or HTT, while AMD uses the term "simultaneous multithreading," or SMT. This is the reason why the dual-core, 4-thread Intel Core i3-10110U performs worse in online benchmarks compared to the quad-core, 4-thread AMD Ryzen 3 4300U. It is not what you usually want for graphics, and it is not what GPUs could do, say, a decade ago. We utilized the originalQuantLibsoftware framework and samples to port four existing applications for quantitative finance. OpenGL implements a "turn vertices and connectivity information into image" service. While it is possible to compare scores across APIs (e.g., a OpenCL score with a Metal score) it is important to keep in mind that due to the nature of Compute APIs the performance difference can be due to more than differences in the underlying hardware (e.g., the GPU driver can have a huge impact on performance). The Geekbench score provides a way to quickly compare performance across different computers and different platforms without getting bogged down in details. Like the benchmark, the stress test is designed to push every part of the system - CPU, cache, memory, GPU and storage with the real-world apps - to find any element of instability or weakness in your PC build. On the other hand, theGPU Computeworkloads measure the compute performance; in other words, how well the graphics card performs at non-graphical tasks. Welcome to the Geekbench OpenCL Benchmark Chart. Geekbench 4 uses a number of different tests, or workloads, to measure CPU performance. 1) It is very important to have vectorized kernels. OpenCL Score: 5,866 ; Storage/RAM. OpenGL 3.3 no texture gets rendered (black texture, C++, GLFW/SOIL). (silly example) Fourier to Triangles and Quads? Although currently OpenGL would be the better choice for graphics, this is not permanent. It is intended as a promotional tool forLuxCoreRenderand it is now based onLuxCore API, the LuxCoreRender v2.x C++ or Python API available under Apache Licence v2.0 and freely usable in open source and commercial applications.