![]() This tests uses memory buffers totaling about 4MB per core. ![]() The compression test uses Crypto++ Gzip (based on the DEFLATE compression algorithm). This test uses complex data structures and complex data manipulation techniques to perform a function that is very common in software applications, ranging from backup software to Email software. The result is reported in Kilobytes per Second. The Compression Test measures the speed that the CPU can compress blocks of data into smaller blocks of data without losing any of the original data. This tests uses integer buffers totaling about 240kb per core. The test uses large sets ofĪn equal number of random 32-bit and 64-bit integers and adds, subtracts, multiplies and divides these numbers. This is a basic operation in all computer software and provides a good indication of 'raw' CPU throughput. An integer is a whole number with no fractional part. The first deliveries to customers and in-store availability will begin Tuesday.The Integer Math Test aims to measure how fast the CPU can perform mathematical integer operations. ![]() ![]() The new 14-inch and 16-inch MacBook Pros are available to pre-order now. Geekbench results also reveal that the M2 Pro and M2 Max in the new MacBook Pros both have single-core and multi-core scores of around 1,900 and 15,000, respectively, meaning they offer up to 20% faster CPU performance compared to the M1 Pro and M1 Max, which is also in line with Apple's advertised claims. However, OpenCL scores for the M2 Max and M1 Ultra are roughly on par. The high-end M1 Ultra chip released for the Mac Studio last year is still about 9% faster than the M2 Max based on Metal scores: Metal scores on Geekbench reveal that the M2 Pro with a 19-core GPU and M2 Max with a 38-core GPU in the new MacBook Pros offer around 30% faster graphics performance over the M1 Pro and M1 Max, in line with Apple's advertised claims. ![]() The first graphics-focused benchmark results have surfaced for Apple's M2 Pro and M2 Max chips, offering a closer look at GPU performance improvements. ![]()
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