The integrated graphics core of the Radeon 780M really beats the budget discrete graphics cards. New tests have appeared, but so far in Geekbench
We have already seen that the integrated graphics core Radeon 780M is incredibly productive for its segment. But there are no full-fledged comparisons of this iGPU with discrete cards on the Web yet. But we can already compare the Radeon 780M with the Radeon RX 6300 at least in Geekbench.
These solutions are very similar, as they have 768 stream processors based on the RDNA 3 architecture. And the iGPU is faster. The Radeon 780M scores about 36,200 points in the benchmark, while the discrete adapter scores 25,600 points. Actually, even the Radeon RX 680M is faster than the RX 6300. This can be explained by the 32-bit bus and the latter’s low GPU frequency. At the same time, the Radeon RX 780M gets very close to the desktop GTX 1650 and bypasses the mobile GTX 1650.
If you search the Web, you can find that the RX 6400 is already gaining about 40,000 points, that is, the iGPU still falls short of this model.
Cheap 100Hz Redmi Display A27 IPS monitor with HDR10 goes on sale in China
Lu Weibing, President of Xiaomi Group and General Manager of Redmi Brand, confirmed on Weibo that the Redmi Display A27 IPS monitor has gone on sale in China.
The monitor received a 27-inch IPS panel with Full HD resolution, which supports an image refresh rate of up to 100 Hz. The display supports HDR10 and covers 99% of the sRGB color space.
The maximum brightness is 250 cd / m2, the screen displays up to 16.7 million colors. In addition, there is support for Low Blue Light and DC Dimming.
The case is only 7.5 mm thick, has a wall mount option, and HDMI 2.0 and DisplayPort 1.4 connectors.
Redmi Display A27 IPS is priced at $85.
Cool passively a bundle of Core i9-13900K and GeForce RTX 4080. $1,000 Streamcom SG10 Radiator Case Introduced
Modern processors and video cards generate a lot of heat, and passive coolers are almost a thing of the past. However, the Streamcom SG10 is able to silently cool both the Core i9-13900K and the GeForce RTX 4080 at the same time. True, the Streamcom SG10 is only partly a cooling system, because it is a computer case. However, it is also difficult to call the product a full-fledged case.
In general, the easiest way to evaluate the novelty is from photographs. As you can see, this is a very massive design, which is supposedly capable of dissipating up to 600 watts of power.
In the case of a GPU, the capabilities of the Streamcom SG10 are really impressive, as the RTX 4080 core in 300-watt mode warmed up under load to only 60 degrees. With the Intel flagship, the situation is much worse: the CPU, known for its hot temper, in such a case operates at a temperature of about 100 degrees and even higher. However, with many air COs in the case of the Core i9-13900K, the situation is no better. On the other hand, no one forces you to use the Core i9-13900K.
It is also worth noting that the heat from the CPU and GPU is removed directly by flexible heat pipes or even hoses. This solution allows the design to be more flexible in terms of the use of different components.
The company also showed a variant with a copper heatsink. Such a case will be 20-40% more expensive than the aluminum version, which will cost $1,000.
The head of Nvidia promised not to leave gamers and came out with the protection of 8 GB of memory from the GeForce RTX 4060 Ti
Amid the explosion of interest in artificial intelligence, Nvidia’s stock soared to incredible heights, putting the company briefly in the club of companies with a capitalization of over $1 trillion. Against this background, gamers and journalists have a question whether all this will affect the gaming direction. However, the head of Nvidia assured that no one will forget about gamers.
First, RTX was invented for gamers, and for RTX, the most important technology is artificial intelligence. Without artificial intelligence, we wouldn’t be able to do real-time ray tracing. It was impossible. And the first AI project in our company, the main direction of AI was Deep Learning Super Sampling (DLSS). Deep learning. This is the pillar of RTX.
Second, notice what we’ve done with generative AI. The first application was ACE – Avatar Cloud Engine
Also, the head of Nvidia spoke out in defense of 8 GB of memory in the younger RTX 40 graphics cards.
Remember that the frame buffer is not a computer’s memory, but a cache. And how you manage cache matters a lot. As in the case of any other cache. And yes, the more cash, the better. However, you must compromise on many issues.
As a result, Jensen Huang called 8 GB for the RTX 4060 Ti the right amount. However, as we said today, even the RTX 3070 eventually appeared in serial form with 16 GB of memory.
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