Computers
How much faster is Mac than iPhone? All current Apple A Bionic platforms and all Apple M SoCs were brought together in one big test
The MacWorld resource decided to compare all the current Apple M and Apple A platforms in one big test.
Unfortunately, there are only results in Geekbench, albeit including the GPU. These results do not always correspond to the alignment of forces in real tasks, but at least we have a comparison of two dozen SoCs.
As you can see, the difference in single-threaded performance is very small, even when comparing the 2020 A14 Bionic to the latest M2 Pro/Max. Multi-threaded mode puts everything in its place. The undisputed leader remains the M1 Ultra, as it contains a 20-core CPU. The base M2 Pro with a 10-core CPU performs almost on par with the M1 Max, and all other platforms are already far behind. It is immediately clear at the same time that there is actually quite a big difference between the SoC for the iPhone and for the Mac, although the A16 Bionic is still not catastrophically behind the base M1.
As for the GPU, the difference between the platforms is even greater, which is logical, given the difference in the number of GPU cores. Here, too, the M1 Ultra in the top version has no competitors, although the M2 Max with a 38-core GPU outperforms the base M1 Ultra with a 48-core GPU. It should also be noted that the M1 Max in any configuration is faster than the M2 Pro. The result of the M2 in the iPad Pro also looks interesting, where the GPU is not much slower than in the base M2 Pro.
Computers
Absolutely all Mac computers based on Apple Silicon have a serious GoFetch vulnerability that cannot be fixed at the silicon level
Vulnerabilities are found not only in AMD or Intel processors. A fresh vulnerability called GoFetch was found in Apple M single-chip systems for its Mac computers.
The vulnerability allows attackers to steal cryptographic information from the CPU cache by allowing the attacker to create a cryptographic key from the stolen data, allowing the application to access sensitive encrypted data.
This vulnerability is very dangerous because it completely neutralizes the side-channel encryption algorithm used to protect against side-channel or processor cache attacks.
In addition, there is no way to fix the vulnerability at the silicon level, meaning Apple cannot start producing chips without the vulnerability. But, as in other cases, it is possible to create a software patch, but it is not yet known what share of productivity will have to be paid for this.
Components
In China, they “imported” Apple Mac Studio. The SZBOX FN60G mini PC with a volume of only 2.5 liters can install an Intel processor for the LGA1700 socket and GeForce RTX 4060
As reported by ITHome, the SZBOX FN60G mini-computer has been introduced in China, which with its aluminum body is very reminiscent of the Apple Mac Studio.
With a small volume of only 2.5 liters, inside you can install not only any Intel processor for the LGA1700 socket (the only limitation is TDP no more than 100 W), but also a discrete video card. The source talks about a “modified” GeForce RTX 4060 or AMD Radeon RX6600. We are probably talking about models for Mini-ITX cases.
On the inside of the motherboard (the chipset model is not reported) there are two slots for DIMM DDR5 RAM modules (maximum RAM – 64 GB), as well as two M.2 connectors for installing solid-state drives. The interface connectors are well demonstrated in the image below.
SZBOX FN60G is already on sale on Aliexpress, but the price is considerable – 745 euros.
Components
It's as if the Core i9-14900K consumes 4W. Efficient Computer Fabrik architecture introduced, allowing for 100 times more energy efficient processors
Startup Efficient Computer has unveiled the Monza processor, which the company claims is nearly 100 times more energy efficient than general purpose processors on the market today.
The secret to this potentially revolutionary achievement lies in its reconfigurable architecture and software stack.
Current general purpose processors are too general purpose and waste the vast majority of their energy (>99%) on unimportant internal data movement and instruction management overhead. Scaling performance requires complex power-intensive optimizations that further increase power consumption. The inefficiency of these designs causes the battery to drain quickly, limiting the device's capabilities and requiring frequent recharging or battery replacement.
Efficient's new Fabric architecture is a unique approach to general-purpose computing that eliminates the excessive power overhead inherent in existing general-purpose computing architectures. The new Efficient architecture significantly improves the energy efficiency of chips, bringing computing capabilities to use cases that were previously not possible due to limited energy availability. For example, a smartwatch or wearable health device can last for weeks on a charge and support more sophisticated analysis of sensor data, while a remote sensing satellite can provide highly accurate data using the limited energy of a nanosatellite's small battery
The company notes that compared to modern GPUs, its chip consumes three orders of magnitude less energy. The Fabric architecture was developed through more than seven years of research at Carnegie Mellon University, and the company's website includes links to scientific papers.
The company provides very few technical details, and nothing is reported at all about the Monza test processor. Given the claims of a revolutionary breakthrough in energy efficiency, this is somewhat strange.
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