Gainward GeForce GTX 760 Phantom 4GB


Gainward GeForce GTX 760 Phantom 4GB on Amazon USA


Specifications and performance with the benchmarks of the Gainward GeForce GTX 760 Phantom 4GB graphics card dedicated to the desktop sector, with 1152 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 Gainward GeForce GTX 760 Phantom 4GB
Market (main) Desktop
Release date Q4 2013
Model number GK104-225-A2,
3033
GPU name G104
Architecture Kepler
Generation GeForce 700
Lithography 28 nm
Transistors 3,540,000,000
Bus interface PCIe 3.0 x16
GPU base clock 980 MHz
GPU boost clock 1,033 MHz
Memory frequency 1,502 MHz
Effective memory speed 6 Gbps
Memory size 4 GB
Memory type GDDR5
Memory bus 256 bit
Memory bandwidth 192.3 GB/s
TDP 170 W
Suggested PSU 500W ATX Power Supply
Multicard technology -
Outputs

2x DVI
1x HDMI
1x DisplayPort
Max display resolution

4096 x 2160 (Digital),
4096 x 2160 @60Hz (DP),
2560 x 1600 (DVI),
4096 x 2160 @24Hz (HDMI),
3840 x 2160 @30Hz (HDMI),
2048 x 1536 (VGA)
Video decoding H.264, MPEG-4
Video encoding H.264
Cores (compute units, SM, SMX) 6
Shading units 1,152
TMUs 96
ROPs 32
Cache memory 512 KB
Pixel fillrate 24.8 GPixel/s
Texture fillrate 99.2 GTexel/s
Performance FP32 (float) 2.4 TFLOPS
Performance FP64 (double) 99.2 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.



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
KFA2 GeForce GTX 1630 EX (1-Click OC) 28.8
Kuroutoshikou GeForce GTX 1630 28.56
Nvidia GeForce GTX 1630 28.56
EVGA GeForce GTX 1630 SC Gaming 28.56
Nvidia Quadro P600 24.91
Gainward GeForce GTX 760 Phantom 4GB 24.79
MSI GeForce GT 1030 Aero ITX OC 24.29
MSI GeForce GT 1030 2GHD4 LP OC 24.29
Gigabyte GeForce GT 1030 OC 24.29
Asus Phoenix GeForce GT 1030 OC 24.1



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
EVGA GeForce GTX 1650 SC Ultra Gaming 104.2
EVGA GeForce GTX 1650 XC Gaming 104.2
MSI GeForce GTX 1650 Gaming X 104.2
Gainward GeForce GTX 1650 Ghost OC 101.6
Intel Arc Pro A40 99.2
Gainward GeForce GTX 760 Phantom 4GB 99.17
AMD Radeon PRO W6300 97.9
MSI GeForce GTX 1650 Ventus XS OC 97.44
EVGA GeForce GTX 1650 KO Ultra GDDR6 97.44
MSI GeForce GTX 1650 Aero ITX OC 97.4



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.




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


FP32 Performance in GFLOPS
Asus Radeon RX 560 2GB 2,611
Nvidia T1000 4GB 2,500
PNY T1000 4GB 2,500
PNY T1000 8GB 2,500
Nvidia T1000 8GB 2,500
Gainward GeForce GTX 760 Phantom 4GB 2,380
MSI GeForce GTX 1050 Ti Aero ITX OC 2,235
MSI GeForce GTX 1050 Ti Aero ITX OCV1 2,235
Asus Radeon RX 560 2GB OC 2,168
XFX Radeon RX 560 4GB 14CU Single Fan 2,143



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
EVGA GeForce GTX 1650 SC Ultra Gaming 104.2
EVGA GeForce GTX 1650 XC Gaming 104.2
MSI GeForce GTX 1650 Gaming X 104.2
AMD Radeon PRO WX 3200 103.6
Gainward GeForce GTX 1650 Ghost OC 101.6
Gainward GeForce GTX 760 Phantom 4GB 99.17
MSI GeForce GTX 1650 Ventus XS OC 97.44
EVGA GeForce GTX 1650 KO Ultra GDDR6 97.44
MSI GeForce GTX 1650 Aero ITX OC 97.4
Gainward GeForce GTX 1650 D6 Ghost OC 96.6



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:

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List of benchmarks:

FP32 Performance



Equivalence:

Gainward GeForce GTX 760 Phantom 4GB Nvidia EquivalentGainward GeForce GTX 760 Phantom 4GB AMD Equivalent




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