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    Hardware support: The 12GB Nvidia RTX 3080 Ti release looks likely for April

    Hardware support: The 12GB Nvidia RTX 3080 Ti release looks likely for April


    The 12GB Nvidia RTX 3080 Ti release looks likely for April

    Posted: 13 Mar 2021 02:16 PM PST

    nVidia GeForce RTX 30 Mobile Series: Performance Overview

    Posted: 13 Mar 2021 09:19 PM PST

    This article is an attempt to classify the performance of the mobile solutions of the GeForce RTX 30 series a bit better. For this purpose, the benchmark results from various sources are evaluated, compared and classified. Due to the few available sources and the general problem of comparable mobile benchmarks, this article and its statements can only be an approximation. Based on an elaboration by 3DCenter.org.

     

    RTX 30 Mobile Hardware MaxQ Standard
    GeForce RTX 3080 Laptop GA104, 48 SM @ 256 Bit, 8/16 GB GDDR6 80-145W Base TGP, plus dynamic 0-20W, 12 Gbps 115-150W Base TGP, plus dynamic 0-15W, 14 Gbps
    GeForce RTX 3070 Laptop GA104, 40 SM @ 256 Bit, 8 GB GDDR6 80-120W Base TGP, plus dynamic 0-20W, 12 Gbps 115-125W Base TGP, plus dynamic 0-15W, 14 Gbps
    GeForce RTX 3060 Laptop GA106, 30 SM @ 192 Bit, 6 GB GDDR6 60-110W Base TGP, plus dynamic 0-20W, 12 Gbps 80-115W Base TGP, plus dynamic 0-15W, 14 Gbps

     

    The following TGP values were noted (as far as available) according to the scheme "1. base TGP - 2. maximum TGP", where the maximum TGP includes the dynamic headroom. That dynamic headroom dynamically tries to take TDP away from the CPU and give it to the GPU. This is likely to work differently depending on the notebook and game, and is certainly not as effective as an equivalent plus in base TGP.

    The following benchmarks were normalized to the GeForce RTX 3070 Desktop, which is set as 100% everywhere. In cases where the GeForce RTX 3070 Desktop was not in the test field, it was interpolated according to the other available values. In Notebookcheck's case, only the 4K numbers of the GeForce RTX 3070 Desktop were used since the numbers under FHD and WQHD are obviously nonsense (several times RTX3070 faster than RTX3080).

     

    ComputerBase Hardware FHD 4K
    GeForce RTX 3070 Desktop (220W) 100% 100%
    GeForce RTX 3080 Laptop (90-105W) Schenker XMG 17 Pro, Core i7-10870H 67% 73%
    GeForce RTX 3080 Laptop (sim. 95W) Schenker XMG 17 Pro, Core i7-10870H 65% 68%
    GeForce RTX 3070 Laptop (90-105W) Gigabyte Aero 15 OLED, Core i7-10870H 65% 66%
    GeForce RTX 3070 Laptop (sim. 95W) Gigabyte Aero 15 OLED, Core i7-10870H 61% 64%
    GeForce RTX 3070 Laptop (80-85W) Asus TUF Dash F15, Core i7-11370H 50% 56%
    GeForce RTX 3060 Laptop (115-130W) Schenker XMG Core 17, Ryzen 5800H 66% 62%
    GeForce RTX 3060 Laptop (sim. 105W) Schenker XMG Core 17, Ryzen 5800H 63% 57%
    GeForce RTX 3060 Laptop (sim. 80W) Schenker XMG Core 17, Ryzen 5800H 56% 49%
    GeForce RTX 2070 Mobile (90W) Razer Blade 15 Base Model 2020, Core i7-10750H 49% 48%
    GeForce GTX 1660 Ti Mobile (80W) Razer Blade 15 Base Model 2019, Core i7-9750H 43% 41%

     

    Notebookcheck Hardware FHD WQHD 4K
    GeForce RTX 3070 Desktop (220W) 100%
    GeForce RTX 3080 Laptop (90-105W) Gigabyte Aero 17 HDR YC, Core i9-10980HK 69% 72% 75%
    GeForce RTX 3080 Laptop (80-100W) Asus ROG Zephyrus G15 GA503Q, Ryzen 9 5900HS 63% 65% 68%
    GeForce RTX 3070 Laptop (125-140W) Schenker XMG Neo 17 Ampere, Ryzen 7 5800H 69% 74% 76%
    GeForce RTX 3070 Laptop (80-85W) Asus TUF Dash F15 FX516P, Core i7-11370H 52% 54% 54%
    GeForce RTX 3060 Laptop (115-130W) Schenker XMG Core 17, Ryzen 7 5800H 57% 59% 53%
    GeForce RTX 2080 Mobile (?W) MSI GT76 Titan DT 9SG, Core i9-9900K 69% 70% 72%
    GeForce RTX 2070 Mobile (?W) MSI GP65 Leopard 9SF, Core i7-9750H 54% 55% 54%

     

    Golem Hardware FHD WQHD 4K
    GeForce RTX 3070 Desktop (220W) 100% 100% 100%
    GeForce RTX 3060 Ti Desktop (200W) 90% 89% 88%
    GeForce RTX 3080 Laptop (115-130W) Asus Zephyrus Duo 15 GX551, Ryzen 9 5900HX 78% 81% 83%

     

    PC Games Hardware Hardware FHD
    GeForce RTX 3080 Laptop (115-130W) Asus ROG Zephyrus Duo 15 SE, Ryzen 9 5900HX 80%
    GeForce RTX 3080 Laptop (115-130W) Asus ROG Strix Scar 15, Ryzen 9 5900HX 77%
    GeForce RTX 3070 Laptop (120W ?) Schenker XMG Neo 17, Ryzen 7 5800H 70%
    GeForce RTX 3070 Laptop (100W ?) Gigabyte Aorus 17G XC, Core i7-10870H 66%

     

    TechSpot Hardware FHD
    GeForce RTX 3070 Desktop (220W) 100%
    GeForce RTX 3070 Laptop (115-130W) Schenker XMG Apex 17, Ryzen 9 5900HX 74%
    GeForce RTX 3070 Laptop (80-95W) Gigabyte Aorus 15G, Core i7-10870H 64%
    GeForce RTX 3060 Laptop (115-130W) Schenker XMG Apex 17, Ryzen 7 5800H 65%
    GeForce RTX 3060 Laptop (80-95W) Schenker XMG Apex 17, Core i7-10870H 59%
    GeForce RTX 2080 Super Mobile (200W) ?, Core i9-10980HK 81%
    GeForce RTX 2070 Super MaxQ (90W) Gigabyte Aorus 15G, Core i7-10875H 58%
    GeForce RTX 2060 Mobile (90W) ?, Ryzen 7 4800H 48%

     

    These benchmarks consistently show a high effect of the respective TGP on the performance achieved. A TGP increase is not 100% effective (on the performance), but achieves roughly +50% to +66% more performance, measured by the TGP increase. However, this effect gradually weakens with very high TGPs - these variants become increasingly ineffective in terms of cooling effort and energy consumption.

    All of the above benchmark results have been subsequently aggregated into a performance index. It is impossible for this to be truly accurate, as the results of the above tests are in part contradictory. Please use the index as a guide to identify a rough performance direction. Only 4K was used as the resolution for the performance index, since the interfering effect of the CPU performance is the lowest there.

     

    4K Performance TGP ~65W TGP ~90W TGP ~120W TGP ~150W Performance Range
    GeForce RTX 3070 Desktop - - - - 100% on 220W GCP
    GeForce RTX 3080 Laptop - ~69% ~78% ~85% ~65-89% on 80-165W TGP
    GeForce RTX 3070 Laptop - ~64% ~71% - ~59-77% on 80-140W TGP
    GeForce RTX 3060 Laptop ~46% ~55% ~61% - ~43-62% on 60-130W TGP

     

    The most important point to understand here is the performance range that each mobile solution has. A 30-40% performance range is normal between slowest and fastest solution based on the same mobile SKU. Please note that each of these designs makes its own sense: The "slowest" solution is also the most energy-efficient and thus the most suitable for mobile. The "fastest" solution is certainly more powerful, but it also needs an stronger cooling system, thus forcing larger and heavier notebooks.

    By means of the wide performance range, it is possible to reach the performance of the next bigger mobile SKU. A fast GeForce RTX 3060 Laptop is just about to reach the performance level of the slowest GeForce RTX 3070 Laptop, and a fast GeForce RTX 3070 Laptop can even compete very well with slow GeForce RTX 3080 Laptops. All this was also practically proven in the tests evaluated above.

    This info-graphic was created to better visualize the performance range and also the comparison to desktop solutions. It works with performance data based on the 3DCenter UltraHD/4K Performance Index, but the performance relations are the same according to all other statements above.

     

    Sources: ComputerBase, Notebookcheck, Golem, PC Games Hardware, TechSpot, 3DCenter.org

    submitted by /u/Voodoo2-SLi
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    Can a compiled binary for one instruction set be translated into another instruction set?

    Posted: 13 Mar 2021 08:59 AM PST

    Say people are trying to move away from x86 to a better instruction set and you have some old software that isn't likely to be recompiled to the new instruction set. Say the new CPU ISA version of the OS has the same dynamic libraries in same location. Could you just do a simple instruction for instruction translation and have everything work well without an emulator?

    submitted by /u/JarJarAwakens
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    Asahi's plan for Linux on Apple's new silicon shows Cupertino has gone back to basics with iOS booting

    Posted: 13 Mar 2021 05:48 PM PST

    How is memory ordering handled in the CPU?

    Posted: 13 Mar 2021 12:29 PM PST

    I've been reading about Rosetta 2 emulation for Apple Silicon Macs and one thing I've learned is that Rosetta 2 is able to emulate things much faster than other emulators (like Microsoft's) because the M1 is able to handle x86's strict and Arm's more relaxed memory ordering. My question is, how does the cpu switch modes for memory ordering? Is it a firmware level switch or is there physical hardware in the M1, and all CPU's in general, that handles memory ordering?

    submitted by /u/SixtyForceDemon
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    Google Publishes "Leaky.Page" Showing Spectre In Action Within Web Browsers

    Posted: 13 Mar 2021 10:47 AM PST

    Ampere Altra Max and our Relentless Focus on Scaling Out

    Posted: 13 Mar 2021 04:16 PM PST

    Why do so many gaming motherboards include onboard video connectors?

    Posted: 13 Mar 2021 05:37 PM PST

    If you look at any mid-level gaming focused motherboard they all include a range of onboard video ports. Even the cheaper priced highend boards, such as as the ASRock X570 Phantom Gaming 4 or ASUS TUF GAMING Z490-PLUS, have onboard HDMI and display ports.

    I can't imagine many situations where people would buy a reasonably expensive gaming motherboard and then use an AMD APU or intel's intergrated GPU. Outside of the pre-builts and big box manufactures I can't imagine there is a big demand.

    Given how much manufactures try to save pennies, I don't get why they don't drop these ports. I assume they use a common board layout so it is not like they have to go to much design effort. However, I would have thought they would just not solder the connectors on to any mid to higher end boards to save a few dollars and have a cleaner back panel.

    submitted by /u/ChrisOz
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    Ink tank Inkjets could push laser printers into history

    Posted: 13 Mar 2021 07:44 PM PST

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