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GF GTX750TI-OC 2GB GDDR5 Print
November 2015
ASUS GeForce® GTX 750 TI performance graphics
  • Dual fans increase thermal efficiency with 2X greater airflow and 3X lower noise emissions.
  • Premium alloys in power delivery components defeat heat for cards that run 15% faster and last 2.5 times longer than reference.
  • 1150 MHZ engine clock for better performance and outstanding gaming experience.
  • GPU Tweak helps you modify clock speeds, voltages, fan performance and more, all via an intuitive interface.
  • GPU Tweak Streaming let you share on-screen action in real time – so others can watch live as games are played.
GF GTX750TI-OC 2GB GDDR5 .png

Specifications


GPU Engine Specs
 CUDA Cores  640
 Engine Clock
 GPU Boost Clock : 1150 MHz
 GPU Base Clock : 1072 MHz
   
Memory Specs
 Memory Clock  1350 MHz ( 5400 MHz GDDR5 )
 Standard Memory Config  2GB
 Memory Interface  GDDR5
 Memory Interface Width  128-bit
 
Power
 Power Comsumption
 up to 150W1 additional 6 pin PCIe power required
   
Display Support
 Maximum DVI Resolution  2560x1600
 Maximum Digital Resolution  4096x2160
 D-Sub Output  Yes x 1
 DVI Output  Yes x 2 (DVI-D)
 HDMI Output  Yes x 1
 HDCP Support  Yes
   
Standard Graphics Card Dimensions
 Length  8.58 inches (21.8 cm)
 Height  4.527 inches (11.5 cm)
 Width  1.53 inches (3.9 cm)


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GF STRIX GTX950 2GB GDDR5 Print
November 2015
ASUS STRIX GTX™ 950 delivers truly elite experience
  • 1355 MHz engine clock for better performance and outstanding gaming experience.
  • DirectCU II with Patented Wing-Blade 0dB Fan Design delivers maximum air flow with 20% cooler and 3X quieter performance.
  • Auto-Extreme Technology with Super Alloy Power II delivers premium quality and best reliability.
  • GPU Tweak II with Xsplit Gamecaster provides intuitive performance tweaking and lets you stream your gamplay instantly.
GF STRIX GTX950 2GB GDDR5.png

Specifications


GPU Engine Specs
 CUDA Cores  768
 Engine Clock
 GPU Boost Clock : 1355 MHz
 GPU Base Clock : 1165 MHz
   
Memory Specs
 Memory Clock  6610 MHz
 Standard Memory Config  2 GB
 Memory Interface  GDDR5
 Memory Interface Width  128-bit
 
Power
 Power Comsumption
 up to 150W1 additional 6 pin PCIe power required
   
Display Support
 DVI Output
 Yes x 1 (Native) (DVI-I), Yes x 1 (Native) (DVI-D)
 HDMI Output
 Yes x 1 (Native) (HDMI 2.0)
 Display port  Yes x 1 (Native) (Regular DP)
 HDCP Support
 Yes
 
Standard Graphics Card Dimensions
 Length  8.7 inches (22 cm)
 Height  4.9 inches (12.5 cm)
 Width  1.6 inches (4 cm)

Note: It includes 1 x STRIX Laser Sticker in accessories.  

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2015-11 Appraisal of Discrete Desktop GPU Cards Print
November 2015
Appraisal of Nvidia GTX and AMD Radeon GPU Cards as at 2015-11

•    Nvidia GTX (standard options for ages) Maxwell
o    960    1024c (08), 1.2GHz, 2GB, 7GHz, 128b, 150W        P45
o    970    1664c (13), 1.1GHz, 4GB, 7GHz, 256b, 256W        P65
o    980    2048c (16), 1.1GHz, 4GB, 7GHz, 256b, 300W        P90

•    AMD Radeon (new options) GCN 1.1 (corrected 2016-04)
o    R7-360    0768c (12), 1GHz, 2GB, 6.5GHz, 128b, 150W   P25
o    R7-370    1024c (16), 1GHz, 4GB, 5.6GHz, 256b, 150W   P40
o    R9-380    1792c (28), 1GHz, 4GB, 6.0GHz, 256b, 150W   P45
o    R9-390    2560c (40), 1GHz, 8GB, 6.0GHz, 512b, 300W   P65

a)    All models listed above are PCIe v3 x16 cards.  Most of them takes up 2 slots each, consumes a substantial amount of electricity, and requires a lot of ventilation cooling.  They all support a range of display screen connectors.  Most importantly, Nvidia and AMD are the only 2 vendors releasing graphic processing unit (GPU) chips in the world with discrete PCIe card interface.

b)    This appraisal is mainly on the superficial specification released by the PCIe card vendor using GPU chips from either Nvidia or AMD.  Their specification is slightly different from the GPU vendor in order to fit in with their implementation.  On this occasion, the card vendor is Asustek of Taiwan.   The cards chosen from Nvidia is GTX series based on their latest Maxwell technology as at 2015-10, and the cards chosen from AMD is Radeon7 and Radeon9 based on their GCN 1.1 technology.  The chosen cards are not the most powerful from each vendor.  They are chosen for their mainstream appeals and are positioned at the medium to high end of the range.

c)    Key hardware features selected for comparison are:

•    Number of compute cores.   They are not compute units or streaming processors.   Compute cores in the same compute unit work on the same task.  The number of compute unit in each card is shown in brackets. More compute units are better for single or multiple task computing.  Similarly more cores per unit are better for the performance on a single task.  Radeon based on GCN1.1 has 64 cores in one compute unit in AMD terminology. GTX based on Maxwell has 128 cores in one stream processor in Nvidia terminology.

•    Amount of global memory and transfer bit width.  Both ranges of cards use GDDR5 memory which is based on DDR3 but with more controllers for higher bandwidth.  Some cards have more controllers than others to increase the memory transfer bit width.  The amount of memory is vital to the size of the problem to be solved, and the memory transfer bit width is vital to the speed of overall task processing.

•    Frequency and wattage are related.  High frequency will incur higher wattage.  The GPU cards are normally designed with a defined max operating temperature which would be equivalent to the max wattage consumed by the components on the card.  Some cards consume as much as 300W.  They are like furnaces within the PC box!

•    Lastly the P figure is an indication of the relative selling price of the cards to each other.  For example, P90 is the most expensive and P20 is the cheapest and is about 2/9 of the most expensive card.  The figures are rough and not accurate or reliable.  

d)    Once the above notes have been read, each reader will form an opinion of the value of each card based on vendor’s superficial hardware features.    The real value of the card would depend on the actual performance of software applications and the range of software applications available.  Some software applications are free and some are very expensive.  Enough bombs for today.

e)    Examples of more bombs are the size of cache in each GPU (Maxwell has 2MB L2 cache.  GCN1.1 has 1MB L2 cache) and the peak processing capability (GTX980 for 4.616FGLOPS SP and R9-390 for 5.120GFLOPS SP).  
 
2015-11 Appraisal of Discrete Desktop GPU Cards Print
November 2015
Appraisal of Nvidia GTX and AMD Radeon GPU Cards as at 2015-11

•    Nvidia GTX (standard options for ages) Maxwell
o    960    1024c (08), 1.2GHz, 2GB, 7GHz, 128b, 150W        P45
o    970    1664c (13), 1.1GHz, 4GB, 7GHz, 256b, 256W        P65
o    980    2048c (16), 1.1GHz, 4GB, 7GHz, 256b, 300W        P90

•    AMD Radeon (new options) GCN 1.1 (corrected 2016-04)
o    R7-360    0768c (12), 1GHz, 2GB, 6.5GHz, 128b, 150W   P25
o    R7-370    1024c (16), 1GHz, 4GB, 5.6GHz, 256b, 150W   P40
o    R9-380    1792c (28), 1GHz, 4GB, 6.0GHz, 256b, 150W   P45
o    R9-390    2560c (40), 1GHz, 8GB, 6.0GHz, 512b, 300W   P65

a)    All models listed above are PCIe v3 x16 cards.  Most of them takes up 2 slots each, consumes a substantial amount of electricity, and requires a lot of ventilation cooling.  They all support a range of display screen connectors.  Most importantly, Nvidia and AMD are the only 2 vendors releasing graphic processing unit (GPU) chips in the world with discrete PCIe card interface.

b)    This appraisal is mainly on the superficial specification released by the PCIe card vendor using GPU chips from either Nvidia or AMD.  Their specification is slightly different from the GPU vendor in order to fit in with their implementation.  On this occasion, the card vendor is Asustek of Taiwan.   The cards chosen from Nvidia is GTX series based on their latest Maxwell technology as at 2015-10, and the cards chosen from AMD is Radeon7 and Radeon9 based on their GCN 1.1 technology.  The chosen cards are not the most powerful from each vendor.  They are chosen for their mainstream appeals and are positioned at the medium to high end of the range.

c)    Key hardware features selected for comparison are:

•    Number of compute cores.   They are not compute units or streaming processors.   Compute cores in the same compute unit work on the same task.  The number of compute unit in each card is shown in brackets. More compute units are better for single or multiple task computing.  Similarly more cores per unit are better for the performance on a single task.  Radeon based on GCN1.1 has 64 cores in one compute unit in AMD terminology. GTX based on Maxwell has 128 cores in one stream processor in Nvidia terminology.

•    Amount of global memory and transfer bit width.  Both ranges of cards use GDDR5 memory which is based on DDR3 but with more controllers for higher bandwidth.  Some cards have more controllers than others to increase the memory transfer bit width.  The amount of memory is vital to the size of the problem to be solved, and the memory transfer bit width is vital to the speed of overall task processing.

•    Frequency and wattage are related.  High frequency will incur higher wattage.  The GPU cards are normally designed with a defined max operating temperature which would be equivalent to the max wattage consumed by the components on the card.  Some cards consume as much as 300W.  They are like furnaces within the PC box!

•    Lastly the P figure is an indication of the relative selling price of the cards to each other.  For example, P90 is the most expensive and P20 is the cheapest and is about 2/9 of the most expensive card.  The figures are rough and not accurate or reliable.  

d)    Once the above notes have been read, each reader will form an opinion of the value of each card based on vendor’s superficial hardware features.    The real value of the card would depend on the actual performance of software applications and the range of software applications available.  Some software applications are free and some are very expensive.  Enough bombs for today.

e)    Examples of more bombs are the size of cache in each GPU (Maxwell has 2MB L2 cache.  GCN1.1 has 1MB L2 cache) and the peak processing capability (GTX980 for 4.616FGLOPS SP and R9-390 for 5.120GFLOPS SP).  
 
2015-11 Why we changed Jasper to APU? Print
November 2015
The last platform produced by Compucon up to today and prior to the change has been very stable for several years.  The level of stability means the technology vendor did not think it was necessary to change anything or the existing features were good enough.  This level of stability is the norm for server technologies but is a surprise for desktops.  Nevertheless the time has come for an upgrade, a rightly justified one.

The old Jasper platform is based on Socket AM3+ whereas the new platform is based on Socket FM2+.  These 2 sockets are not interchangeable meaning that the processor from one platform cannot be plugged onto the other platform.  AM-socketed processors are called CPU for central processing unit, whereas FM-socketed processors are called APU for accelerated processing unit.  APU contains CPU, GPU, and North Bridge in one.  Some people may think the change is a no-brainer.  It is not necessarily true because the real estate of a die is precious and a larger CPU plus external GPU and North Bridge can provide a much higher level of performance in many respects than All-in-One. 

The upgrade is based on one important factor.  It is the success of AMD in implementing a new technology called heterogeneous system architecture (HSA) for its APU in 2015.  This architecture has a specific strength that is practical and useful.  The cache of the CPU is shared with the GPU so that data transfer is within the die and not across any external link such as PCI Express.  We may think this makes a lot of sense and it should be the arrangement from the outset but it is not and AMD is the first technology vendor that has done it successfully.  This change will pave the way for all new APU models to have spectacular runtime performance.  This is the theory, and software applications that implement this feature will provide the evidence.  We are confident.
 
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