Core Codec Core AVC Professional 3.0
Bubba Lual
M1 Pro has an up-to-16-core GPU that is up to 2x faster than M1 and up to 7x faster than the integrated graphics on the latest 8-core PC laptop chip.1 Compared to a powerful discrete GPU for PC notebooks, M1 Pro delivers more performance while using up to 70 percent less power.2 And M1 Pro can be configured with up to 32GB of fast unified memory, with up to 200GB/s of memory bandwidth, enabling creatives like 3D artists and game developers to do more on the go than ever before.
M1 Pro and M1 Max include an Apple-designed media engine that accelerates video processing while maximizing battery life. M1 Pro also includes dedicated acceleration for the ProRes professional video codec, allowing playback of multiple streams of high-quality 4K and 8K ProRes video while using very little power. M1 Max goes even further, delivering up to 2x faster video encoding than M1 Pro, and features two ProRes accelerators. With M1 Max, the new MacBook Pro can transcode ProRes video in Compressor up to a remarkable 10x faster compared with the previous-generation 16-inch MacBook Pro.
macOS Monterey is engineered to unleash the power of M1 Pro and M1 Max, delivering breakthrough performance, phenomenal pro capabilities, and incredible battery life. By designing Monterey for Apple silicon, the Mac wakes instantly from sleep, and the entire system is fast and incredibly responsive. Developer technologies like Metal let apps take full advantage of the new chips, and optimizations in Core ML utilize the powerful Neural Engine so machine learning models can run even faster. Pro app workload data is used to help optimize how macOS assigns multi-threaded tasks to the CPU cores for maximum performance, and advanced power management features intelligently allocate tasks between the performance and efficiency cores for both incredible speed and battery life.
I am using java8 and cassandra in my application.The datatype of current_date in cassandra table is 'date'.I am using entities to map to the table values. and the datatype in entity for the same field is com.datastax.driver.core.LocalDate.
While our benchmark presents various scores based on the performance of each test, we also like to provide individual results for you to examine. If there is a specific task that is a hindrance to your workflow, examining the raw results for that task is going to be much more applicable than the scores that our benchmark calculated.
At first glance, things don't look that great for AMD. In terms of the Extended Overall Score from our benchmark, the Intel Core 12th Gen CPUs are anywhere from 20% faster at the top end, to 40% faster on the lower-end models. What you don't see from this one number is that this is a bit skewed of a score due to just how much faster the Intel CPUs are when running the 4K H.264 and 8K HEVC sets of tests.
Beyond the extra E-cores, the 13th Gen processors are also getting a hefty increase to their maximum boost clock. It ranges from just a moderate .2 GHz bump on the i5 13600K, to a .4 GHz bump on the i7 13700K, all the way up to a .6 GHz bump on the i9 13900K. The extra E-cores and frequency bump does come with one downside, however, which is a higher max TDP.
For Lightroom Classic, our testing is split into two categories: passive tasks like exporting and generating previews, and active tasks like culling and switching modules. These are combined into a single overall score, but depending on the workflow, either the passive or active score may be more important than the overall score.
Since the introduction of multi-frame rendering (MFR), After Effects has moved from being a primarily single-threaded application to one that can make decent use of higher CPU core counts. For this testing, we are going to look at two main categories: the Overall Score which represents performance across all our tests, and the Multi-Score Score which is testing an extremely complex project where MFR should make a massive difference.
To be fair to AMD, the Ryzen 9 7950X (with its 16 full cores) is able to match the Core i9 13900K (with only 8 P-cores and 16 E-cores) in terms of the Multi-Core Score. Technically, it scores 2.5% higher than the 13900K, but that is within the margin of error for real-world testing like this, which makes the 7950X and 13900K effectively on par for that test. Given the cost difference between the two, however, we would still consider this a win for Intel.
Looking at the gen-over-gen performance from these new CPUs, you can see just how big of a leap Intel made with the 13th Gen CPUs. As a reminder, Intel doubled the number of E-cores on each of these CPUs, and it really shows in the Multi-Core Score.
Clearly, things are looking pretty darn great for Intel! In terms of the Extended Overall Score from our Premiere Pro benchmark, the Intel Core 13th Gen CPUs are around 50% faster than the equivalent AMD Ryzen 7000 CPU. This drops a bit to around 30% if you want to compare the 13900K to the more expensive Ryzen 7950X, but even that is a big win for Intel.
As we can see from the list, there is a 31-37% improvement across the board. The combination of additional efficiency cores, higher boost clocks, and IPC improvements add up to a great generational improvement.
Single-core performance, which improves things such as modeling and animation, Intel holds a strong lead across the board. Intel is anywhere from 19-39% faster than AMD. Intel loves to tout its single-core performance in gaming, but that does translate to some decent performance in professional applications as well.
Looking at the gen-over-gen performance from these new CPUs, you can see just how big of a leap Intel made with the 13th Gen CPUs. The combination of additional efficiency cores, higher boost clocks, and IPC improvements add up to a great generational improvement..
Lastly, we come to Unreal Engine. Much like rendering, the core count is king. Many users opt for Workstation grade CPUs such as Threadripper Pro. Its massive core counts really tear through shaders. However, not all users are compiling source code or massive amounts of shaders on a regular basis and would prefer a consumer-grade CPU.
AMD does still hold the lead with one CPU in this segment, the 7950X, which costs $100 more than the 13900K. The 13900K is likewise just a few percent faster than the 7900K, with each CPU having a slight lead in different tasks. Looking at the lower SKUs, Intel holds a strong lead. Their hybrid Performance/Effeciency core really shines here.
Overall, the 13th Gen Intel Core processors show some impressive gains over the previous generation. AMD manages to hold into a slim lead in a few areas, but almost every single instance where Ryzen 7000 was significantly faster than Intel 13th Gen came from the Ryzen 9 7950X, which is a more expensive CPU than anything currently in the 13th Gen lineup. That does mean that you can sometimes get more performance out of the Ryzen platform than Intel Core, but in terms of dollar-for-dollar, Intel 13th Gen scored on par or significantly higher in every single benchmark we ran.
The M2 was followed by the professional-focused M2 Pro and M2 Max chips in January 2023. The M2 Max is a higher-powered version of the M2 Pro, with more GPU cores and memory bandwidth, and a larger die size.[5] Apple introduced the M2 Ultra in June 2023, containing two M2 Max units.[1]
The M2 has four high-performance "Avalanche" and four energy-efficient "Blizzard" cores, first seen in the A15 Bionic, providing a hybrid configuration similar to ARM DynamIQ, as well as Intel's Alder Lake and Raptor Lake processors. The high-performance cores have 192 KB of L1 instruction cache and 128 KB of L1 data cache and share a 16 MB L2 cache;[6] the energy-efficient cores have a 128 KB L1 instruction cache, 64 KB L1 data cache, and a shared 4 MB L2 cache. It also has an 8 MB system level cache shared by the GPU. The M2 Pro has 10 or 12 CPU cores, and the M2 Max has 12.
The M2 integrates an Apple designed ten-core (eight in some base models) graphics processing unit (GPU). Each GPU core is split into 16 execution units, which each contain eight arithmetic logic units (ALUs). In total, the M2 GPU contains up to 160 execution units or 1280 ALUs, which have a maximum floating point (FP32) performance of 3.6 TFLOPs.
The M2 Pro integrates a 19-core (16 in some base models) GPU, while the M2 Max integrates a 38-core (30 in some base models) GPU. In total, the M2 Max GPU contains up to 608 execution units or 4864 ALUs, which have a maximum floating point (FP32) performance of 13.6 TFLOPS.
The M2 contains dedicated neural network hardware in a 16-core Neural Engine capable of executing 15.8 trillion operations per second. Other components include an image signal processor, a PCIe storage controller, a Secure Enclave, and a USB4 controller that includes Thunderbolt 3 (Thunderbolt 4 on Mac mini) support. The M2 Pro and Max support Thunderbolt 4.
2015 edit: on a 12-core CPU, some ffmpeg commands have Linux top showing at most 200% cpu (only 2 cores), no matter what number is given to -threads. So the default may still be optimal in the sense of "as good as this ffmpeg binary can get", but not optimal in the sense of "fully exploiting my leet CPU."
Some of these answers are a bit old, and I'd just like to add that with my ffmpeg 4.1, encoding with libx264, all 6 cores/12 threads of my Ryzen 5 2600X system were maxed without any -thread argument.
The interesting part was the CPU loading (using htop to watch it).
Using no -threads option wound up at the 130fps range with load spread out across all cores at a low-load level.
Using 1 thread did exactly that, loaded one core at 100%. Using anything else resulted in another spread-load situation.
As you can see, there's also a point of diminishing returns, so you'd have to adjust the -threads option for your particular machine. For my setup specifically, using the -threads 6 (on a 12 core machine) resulted in the best FPS when converting the video (from h264 to x264 at a different bitrate to force a conversion) and returns actually diminished the more threads I threw into it.
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