Nvidia GeForce GTX 1070 Mobile Specs


Nvidia GeForce GTX 1070 Mobile on Amazon USA


Specifications of the Nvidia GeForce GTX 1070 Mobile graphics card dedicated to the laptop sector, with 2048 shading units, its maximum frequency is 1.6GHz 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 GTX 1070 Mobile
Market (main) Laptop
Release date Q2 2016
Model number N17E-G2-A1
GPU name GP104
Architecture Pascal
Generation GeForce 10 Mobile
Lithography 16 nm
Transistors 7,200,000,000
Bus interface PCIe 3.0 x16
GPU base clock 1.44 GHz
GPU boost clock 1.65 GHz
Memory frequency 2,002 MHz
Effective memory speed 8 GB/s
Memory size 8 GB
Memory type GDDR5
Memory bus 256 bit
Memory bandwidth 256 GB/s
TDP 120 W
Cores (compute units, SM, SMX) 16
Shading units (cuda cores) 2,048
TMUs 128
ROPs 64
Cache memory 2 MB
Pixel fillrate 105.3 GPixel/s
Texture fillrate 210.6 GTexel/s
Performance FP16 (half) 105.3 GFLOPS
Performance FP32 (float) 6.7 TFLOPS
Performance FP64 (double) 210.6 GFLOPS
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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.



Performances :


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 GeForce RTX 3070 Ti Mobile 112.8
Nvidia GeForce GTX 1080 Mobile 111
AMD Radeon RX 5700M 110.1
Nvidia GeForce RTX 3080 Ti Max-Q 108
Intel Arc 7 A730M 105.6
Nvidia GeForce GTX 1070 Mobile 105.3
Nvidia GeForce RTX 3070 Max-Q 103.2
Nvidia GeForce RTX 2080 Mobile 101.8
Nvidia Quadro P5000 Mobile 101.2
Nvidia GeForce RTX 2080 Super Mobile 99.84



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).


Texture fillrate performance comparison for this graphics card:


Texture fillrate performance in GTexels/s
AMD Radeon Pro Vega 48 230.4
AMD Radeon RX 6600S 224
AMD Radeon RX 6700S 224
Nvidia GeForce RTX 2070 Super Mobile 220.8
Intel Arc 7 A730M 211.2
Nvidia GeForce GTX 1070 Mobile 210.6
Nvidia GeForce RTX 2070 Mobile 207.4
Nvidia GeForce RTX 3070 Max-Q 206.4
Nvidia Quadro P5000 Mobile 202.5
Nvidia GeForce RTX 2080 Max-Q 201.5



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.


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


FP32 Performance in GFLOPS
AMD Radeon Pro Vega 48 7,373
AMD Radeon RX 6600S 7,168
AMD Radeon RX 6700S 7,168
Nvidia GeForce RTX 2070 Super Mobile 7,066
Intel Arc 7 A730M 6,758
Nvidia GeForce GTX 1070 Mobile 6,738
Nvidia GeForce RTX 2070 Mobile 6,636
Nvidia Quadro P5000 Mobile 6,480
Nvidia GeForce RTX 2080 Max-Q 6,447
Nvidia GeForce RTX 2050 Mobile 6,050



Single precision floating point format, also known as 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.



List of comparisons:

AMDAMD RadeonAMD Radeon GraphicsAMD Radeon HD 8000AMD Radeon ProAMD Radeon Pro MobileAMD Radeon R2AMD Radeon R5AMD Radeon R6AMD Radeon R7AMD Radeon R7 200AMD Radeon R9AMD 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 VegaAMD Radeon VegaAMD Radeon Vega 11AMD Radeon Vega 3AMD Radeon Vega 6AMD Radeon Vega 8AMD Radeon Vega MobileAppleARMARM MaliARM Mali-400ARM Mali-450ARM Mali-470ARM Mali-G31ARM Mali-G51ARM Mali-G52ARM Mali-G57ARM Mali-G610ARM Mali-G68ARM Mali-G71ARM Mali-G710ARM Mali-G72ARM Mali-G76ARM Mali-G77ARM Mali-G78ARM Mali-T720ARM Mali-T760ARM Mali-T764ARM Mali-T820ARM Mali-T830ARM Mali-T860ARM Mali-T880AsusATIBroadcomBroadcom VideoCoreDMPGainwardGigabyteImaginationImagination PowerVRImagination PowerVR SGX543Imagination PowerVR SGX544IntelIntel 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 Xe GraphicsMSINvidiaNvidia GeForceNvidia GeForce 1000Nvidia GeForce 1000 MobileNvidia GeForce 1600Nvidia GeForce 1600 MobileNvidia GeForce 2000Nvidia GeForce 2000 MobileNvidia GeForce 3000Nvidia GeForce 3000 MobileNvidia GeForce 4000Nvidia GeForce 500Nvidia GeForce 600Nvidia GeForce 600MNvidia GeForce 700Nvidia GeForce 700MNvidia GeForce 800M seriesNvidia GeForce 900Nvidia GeForce 900MNvidia GeForce GTNvidia GeForce GTXNvidia GeForce MXNvidia GeForce RTXNvidia GM20BNvidia Quadro seriesNvidia TeslaNvidia VoltaQualcommQualcomm AdrenoSamsungSapphireVivanteXFXZotacGraphics cards groups

List of benchmarks:

FP32 performance



Equivalence:

Nvidia GeForce GTX 1070 Mobile AMD equivalent




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