Nvidia GeForce RTX 3070 Ti Max-Q


Nvidia GeForce RTX 3070 Ti Max-Q on Amazon USA


Specifications and performance with the benchmarks of the Nvidia GeForce RTX 3070 Ti Max-Q graphics card dedicated to the laptop sector, with 5888 shading units, its maximum frequency is 1.0GHz The table below makes it possible to observe well the lithography, the number of transistors (if present), the offered cache memory, the quantity of texture mapping units, of render output units, the release date, the GFLOPS performance, the values obtained in the benchmark platforms.







Specifications:


Graphics card Nvidia GeForce RTX 3070 Ti Max-Q
Market (main) Laptop
Release date Q1 2022
Model number GeForce RTX 3070 Ti Max-Q
GPU name GA104
Architecture Ampere
Generation GeForce 30 Mobile
Lithography 8 nm
Transistors 17,400,000,000
Bus interface PCIe 4.0 x16
GPU base clock 510 MHz
GPU boost clock 1,035 MHz
Memory frequency 1,500 MHz
Effective memory speed 12 Gbps
Memory size 8 GB
Memory type GDDR6
Memory bus 256 bit
Memory bandwidth 384.0 GB/s
TDP 80 W
Cores (compute units, SM, SMX) 46
Shading units (cuda cores) 5,888
TMUs 184
ROPs 96
Tensor cores 184
RT cores 46
Cache memory 4 MB
Pixel fillrate 99.4 GPixel/s
Texture fillrate 190.4 GTexel/s
Performance FP16 (half) 12.2 TFLOPS
Performance FP32 (float) 12.2 TFLOPS
Performance FP64 (double) 190.4 GFLOPS
Amazon
eBay




Price: For technical reasons, we cannot currently display a price less than 24 hours, or a real-time price. This is why we prefer for the moment not to show a price. You should refer to the respective online stores for the latest price, as well as availability.

TMUs: texture mapping units. This unit was a physical processor separated from the main graphics processing units. It is able to distort a bitmap image, and also to resize it, to rotate it and to place it as a texture onto a plane of a specific 3D model.

ROPs: render output units. The other name of this unit is raster operations pipeline. This hadware component is taking pixel and texel information, and processing it through vector and matrix operations. The result will be a depth value or a final pixel. It is able to control antialiasing with the merge of several sample into one pixel.

SM: streaming multiprocessor. These processors are implied in the Kepler's power efficiency when the GPU is using one unified clock speed.



Performance with the benchmarks:


Performance comparison between this graphics card and those of equivalent power, for this we consider the results generated on benchmark softwares and rendering performances.


Pixel fillrate performance comparison for this graphics card:


Pixel Fillrate Performance in GPixels/s
Nvidia Quadro P5000 Mobile 101.2
Nvidia Quadro P5200 Max-Q 100.4
Nvidia GeForce RTX 2080 Super Mobile 99.84
Nvidia RTX A3000 Mobile 99.84
Nvidia Quadro RTX 4000 Mobile 99.84
Nvidia GeForce RTX 3070 Ti Max-Q 99.36
Nvidia RTX 3500 Mobile Ada Generation 98.88
Nvidia Quadro P3200 Mobile 98.75
Nvidia Quadro P4200 Max-Q 94.72
AMD Radeon PRO Vega 64X 93.95



The term pixel fillrate is refering to the number of pixels that the video card is able to generate every second. This performance is achieved by multiplying the raster output units (ROPs) by the clock frequency of the graphics processor unit (GPU). Matrix and vector operations allow pixel pipelines to process pixels and texels stored in the buffer. The ROPs will then generate transactions between the buffer and local memory. You should know that the higher the pixel rate, the greater the screen resolution that the GPU can manage.


Texture fillrate performance comparison for this graphics card:


Texture Fillrate Performance in GTexels/s
Nvidia GeForce RTX 3070 Max-Q 206.4
Nvidia RTX 2000 Mobile Ada Generation 203
Nvidia Quadro P5000 Mobile 202.5
Nvidia GeForce RTX 2080 Max-Q 201.5
Nvidia RTX A3000 Mobile 199.7
Nvidia GeForce RTX 3070 Ti Max-Q 190.4
Nvidia GeForce RTX 2050 Mobile 189.1
Nvidia GeForce RTX 2080 Super Max-Q 187.2
Nvidia GeForce RTX 2070 Super Max-Q 184.8
AMD Radeon RX 5600M 182.2



The term texture fillrate refers to the number of map texture elements (texels) that the GPU is capable of generating per second. This performance is achieved by multiplying the texture mapping units (TMUs) by the clock frequency of the graphics processor unit. To make a 3D scene in a video game or in 3D editing software such as Blender, the graphics card must perform what is called texture mapping with the texture mapping units.




FP16 performance comparison (half precision; float; floating-point 16) for this graphics card:


FP16 Performance in GFLOPS
Nvidia GeForce RTX 2070 Mobile 13,270
Nvidia GeForce RTX 3070 Max-Q 13,210
Nvidia RTX 2000 Mobile Ada Generation 12,995
Nvidia GeForce RTX 2080 Max-Q 12,890
Nvidia RTX A3000 Mobile 12,780
Nvidia GeForce RTX 3070 Ti Max-Q 12,188
Nvidia GeForce RTX 2050 Mobile 12,100
Nvidia GeForce RTX 2080 Super Max-Q 11,980
Nvidia GeForce RTX 2070 Super Max-Q 11,830
AMD Radeon RX 5600M 11,660



The power in FP16, i.e. in a half-precision floating point format, makes it possible to evaluate the ability of the graphics card to manipulate useful data for example in computer applications, such as deep learning with neural networks. These applications use numeric values that have less precision, and therefore require less memory, compared to values with single or double precision formats.


FP32 performance comparison (single precision; float; floating-point 32) for this graphics card:


FP32 Performance in GFLOPS
Nvidia GeForce RTX 3070 Max-Q 13,210
Nvidia RTX 2000 Mobile Ada Generation 12,995
Nvidia RTX A3000 Mobile 12,780
Nvidia Quadro P5000 X2 Mobile 12,338
AMD Radeon RX 6800M 12,240
Nvidia GeForce RTX 3070 Ti Max-Q 12,188
AMD Radeon PRO Vega 64X 12,030
Nvidia GeForce RTX 4060 Mobile 11,612
Nvidia GeForce RTX 4070 Max-Q 11,336
AMD Radeon PRO Vega 64 11,060



Single-precision floating-point format, also called FP32, is a computer number format that typically occupies 32 bits in PC memory. This represents a wide dynamic range of numeric values that employs a floating point. FP32 power helps assess the video card's capabilities for generating rendering workloads. Video games use INT32 and FP32 cores to manage calculations with integers and numbers with decimals in order to produce maps, bone matrices on which the vertex shaders will calculate the vertices. Values in single precision format are mainly used in video games and 3D software.


FP64 performance comparison (double precision; float; floating-point 64) for this graphics card:


FP64 Performance in GFLOPS
Nvidia GeForce RTX 2080 Max-Q 201.5
AMD Radeon PRO W5300M 200
AMD Radeon PRO 5300M 200
Nvidia RTX A3000 Mobile 199.7
AMD Radeon PRO W6300M 195.8
Nvidia GeForce RTX 3070 Ti Max-Q 190.4
Nvidia GeForce RTX 2050 Mobile 189.1
Nvidia GeForce RTX 2080 Super Max-Q 187.2
Intel UHD Graphics (Alder Lake 32EU) 185.6
Nvidia GeForce RTX 2070 Super Max-Q 184.8



FP64 performance refers to solvers with double precision. We can thus determine how many operations the GPU can calculate for certain specific tasks, such as scientific calculations, climate forecasts, calculations related to fluid dynamics, geophysics, computational chemistry. The FP64 power capabilities are mainly intended for professionals who wish to carry out advanced calculations.



List of comparisons:

AMDAMD RadeonAMD Radeon GraphicsAMD Radeon HDAMD Radeon HD 6000AMD Radeon HD 7000AMD Radeon HD 7800AMD Radeon HD 8000AMD Radeon InstinctAMD Radeon MobileAMD Radeon PROAMD Radeon PRO MobileAMD Radeon R2AMD Radeon R4AMD Radeon R5AMD Radeon R6AMD Radeon R7AMD Radeon R7 200AMD Radeon R9AMD Radeon R9 200AMD Radeon RXAMD Radeon RX 300AMD Radeon RX 400AMD Radeon RX 500AMD Radeon RX 5000AMD Radeon RX 5000 MobileAMD Radeon RX 6000AMD Radeon RX 6000 MobileAMD Radeon RX 7000AMD Radeon RX 7000 MobileAMD Radeon RX VegaAMD Radeon VegaAMD Radeon Vega 11AMD Radeon Vega 3AMD Radeon Vega 6AMD Radeon Vega 8AMD Radeon Vega MobileAMD RDNAAMD RDNA 2AMD RDNA 3AppleASRock Radeon RX 6000ASRock Radeon RX 7000Asus GeForce RTX 3000Asus GeForce RTX 4000Asus GeForce RTX 4060Asus GeForce RTX 4060 TiAsus GeForce RTX 4070Asus GeForce RTX 4070 SuperAsus GeForce RTX 4070 TiAsus GeForce RTX 4070 Ti SuperAsus GeForce RTX 4080Asus GeForce RTX 4080 SuperAsus GeForce RTX 4090Asus ROG Strix GeForce RTX 2000ATI Radeon HDATI Radeon HD 3000ATI Radeon HD 4000ATI Radeon HD 5000Colorful GeForce 4000EVGA GeForce 1000EVGA GeForce 1600EVGA GeForce 2000EVGA GeForce 3000Gainward GeForce RTX 3000Gainward GeForce RTX 4000Gigabyte GeForce RTX 4000Gigabyte GeForce RTX 4060Gigabyte GeForce RTX 4060 TiGigabyte GeForce RTX 4070Gigabyte GeForce RTX 4070 TiGigabyte GeForce RTX 4080Gigabyte GeForce RTX 4090Gigabyte Radeon RX 6000Gigabyte Radeon RX 7000IntelIntel ArcIntel Arctic SoundIntel HD GraphicsIntel Iris GraphicsIntel Iris Plus GraphicsIntel Iris Xe Graphics G7Intel Iris Xe Graphics MobileIntel UHD GraphicsIntel UHD Graphics 610Intel UHD Graphics 620Intel UHD Graphics 630Intel UHD Graphics 730Intel UHD Graphics 770Intel Xe GraphicsKFA2 GeForce RTX 3060 TiKFA2 GeForce RTX 3070KFA2 GeForce RTX 3070 TiKFA2 GeForce RTX 3080Kuroutoshikou GeForceKuroutoshikou RadeonMSI GeForce 3000MSI GeForce 4000NvidiaNvidia A100Nvidia GeForceNvidia GeForce 1000Nvidia GeForce 1000 MobileNvidia GeForce 1600Nvidia GeForce 1600 MobileNvidia GeForce 2000Nvidia GeForce 2000 MobileNvidia GeForce 3000Nvidia GeForce 3000 MobileNvidia GeForce 400Nvidia GeForce 4000Nvidia GeForce 500Nvidia GeForce 600Nvidia GeForce 600MNvidia GeForce 700Nvidia GeForce 700MNvidia GeForce 800M seriesNvidia GeForce 900Nvidia GeForce 900MNvidia GeForce GTNvidia GeForce GT 1000Nvidia GeForce GTXNvidia GeForce GTX 1000Nvidia GeForce GTX 1000 MobileNvidia GeForce GTX 1600Nvidia GeForce GTX 1600 MobileNvidia GeForce GTX 400Nvidia GeForce GTX 500Nvidia GeForce GTX 600Nvidia GeForce GTX 600 MobileNvidia GeForce GTX 700Nvidia GeForce GTX 700 MobileNvidia GeForce GTX 800 MobileNvidia GeForce GTX 900Nvidia GeForce GTX 900 MobileNvidia GeForce MXNvidia GeForce RTXNvidia GeForce RTX 2000Nvidia GeForce RTX 2000 MobileNvidia GeForce RTX 3000Nvidia GeForce RTX 3000 MobileNvidia GeForce RTX 4000Nvidia GeForce RTX 4000 MobileNvidia GM20BNvidia Quadro NVSNvidia Quadro RTX AdaNvidia Quadro RTX Ada MobileNvidia Quadro seriesNvidia TeslaNvidia Tesla V100Nvidia TitanNvidia VoltaPalit GeForce 4000PNY GeForce RTX 4060PNY GeForce RTX 4060 TiPNY GeForce RTX 4070PNY GeForce RTX 4070 TiPNY GeForce RTX 4080PNY GeForce RTX 4090Sapphire Nitro+ RadeonSapphire Radeon RX 5000Sapphire Radeon RX 6000Sapphire Radeon RX 7000XFX Radeon RX 6000XFX Radeon RX 6600 XTXFX Radeon RX 6650 XTXFX Radeon RX 6700 XTXFX Radeon RX 6750 XTXFX Radeon RX 6800XFX Radeon RX 6800 XTXFX Radeon RX 6900 XTXFX Radeon RX 6950 XTXFX Radeon RX 7000XFX Radeon RX 7600XFX Radeon RX 7800 XTXFX Radeon RX 7900 XTXFX Radeon RX 7900 XTXZotac GeForce RTX 3000Zotac GeForce RTX 3050Zotac GeForce RTX 3060Zotac GeForce RTX 3060 TiZotac GeForce RTX 3070Zotac GeForce RTX 3070 TiZotac GeForce RTX 3080Zotac GeForce RTX 3080 TiZotac GeForce RTX 4000Graphics cards groups

List of benchmarks:

FP32 Performance



Equivalence:

Nvidia GeForce RTX 3070 Ti Max-Q AMD Equivalent




GadgetVersus.com © 2024 - About us - XML sitemap - Privacy policy - Advertising policy - Contact

Disclaimer:

When you click on links to various merchants on this site and make a purchase, this can result in this site earning a commission. Affiliate programs and affiliations include, but are not limited to, the eBay Partner Network.

As an Amazon Associate I earn from qualifying purchases.

This page includes affiliate links for which the administrator of GadgetVersus may earn a commission at no extra cost to you should you make a purchase. These links are indicated using the hashtag #ad.


Information:

We do not assume any responsibility for the data displayed on our website. Please use at your own risk. Some or all of this data may be out of date or incomplete, please refer to the technical page on the respective manufacturer's website to find the latest up-to-date information regarding the specifics of these products.


W3Ask W3Ask Brasil W3Ask Deutschland W3Ask España W3Ask France W3Ask Italia W3Ask Nederland