GPU Performance Details: GeForce GTX 960

Contents:

System Configuration

MATLAB Release: R2016b

Host

NameIntel(R) Core(TM) i5-6400T CPU @ 2.20GHz
Clock2201 MHz
Cache1024 KB
NumProcessors4
OSTypeWindows
OSVersionMicrosoft Windows 10 Home

GPU

NameGeForce GTX 960
Clock1.200500e+03 MHz
NumProcessors8
ComputeCapability5.2
TotalMemory4.00 GB
CUDAVersion8
DriverVersion6.14.13.6930 (369.30)

Results for MTimes (double)

These results show the performance of the GPU or host PC when calculating a matrix multiplication of two NxN real matrices. The number of operations is assumed to be 2*N^3 - N^2.

This calculation is usually compute-bound, i.e. the performance depends mainly on how fast the GPU or host PC can perform floating-point operations.

Raw data for GeForce GTX 960 - MTimes (double)
Array size
(elements)
Num
Operations
Time
(ms)
GigaFLOPS
1,02464,5120.070.91
4,096520,1920.068.38
16,3844,177,9200.1430.32
65,53633,488,8960.6253.68
262,144268,173,3124.6058.32
1,048,5762,146,435,07232.4266.20
4,194,30417,175,674,880252.3168.07
(N gigaflops = Nx109 operations per second)

Results for Backslash (double)

These results show the performance of the GPU or host PC when calculating the matrix left division of an NxN matrix with an Nx1 vector. The number of operations is assumed to be 2/3*N^3 + 3/2*N^2.

This calculation is usually compute-bound, i.e. the performance depends mainly on how fast the GPU or host PC can perform floating-point operations.

Raw data for GeForce GTX 960 - Backslash (double)
Array size
(elements)
Num
Operations
Time
(ms)
GigaFLOPS
1,02423,3810.940.02
4,096180,9070.960.19
16,3841,422,6771.620.88
65,53611,283,1153.513.21
262,14489,871,7017.5711.88
1,048,576717,400,74722.8031.46
4,194,3045,732,914,517117.3248.87
(N gigaflops = Nx109 operations per second)

Results for FFT (double)

These results show the performance of the GPU or host PC when calculating the Fast-Fourier-Transform of a vector of complex numbers. The number of operations for a vector of length N is assumed to be 5*N*log2(N).

This calculation is usually memory-bound, i.e. the performance depends mainly on how fast the GPU or host PC can read and write data.

Raw data for GeForce GTX 960 - FFT (double)
Array size
(elements)
Num
Operations
Time
(ms)
GigaFLOPS
1,02451,2000.090.56
4,096245,7600.122.03
16,3841,146,8800.148.36
65,5365,242,8800.3315.79
262,14423,592,9600.8428.17
1,048,576104,857,6003.0434.49
4,194,304461,373,44012.3137.49
16,777,2162,013,265,92054.6136.87
(N gigaflops = Nx109 operations per second)

Results for MTimes (single)

These results show the performance of the GPU or host PC when calculating a matrix multiplication of two NxN real matrices. The number of operations is assumed to be 2*N^3 - N^2.

This calculation is usually compute-bound, i.e. the performance depends mainly on how fast the GPU or host PC can perform floating-point operations.

Raw data for GeForce GTX 960 - MTimes (single)
Array size
(elements)
Num
Operations
Time
(ms)
GigaFLOPS
1,02464,5120.080.79
4,096520,1920.077.19
16,3844,177,9200.0760.49
65,53633,488,8960.09362.21
262,144268,173,3120.211288.35
1,048,5762,146,435,0721.121924.36
4,194,30417,175,674,8807.782206.56
16,777,216137,422,176,25660.412274.96
67,108,8641,099,444,518,912484.592268.84
(N gigaflops = Nx109 operations per second)

Results for Backslash (single)

These results show the performance of the GPU or host PC when calculating the matrix left division of an NxN matrix with an Nx1 vector. The number of operations is assumed to be 2/3*N^3 + 3/2*N^2.

This calculation is usually compute-bound, i.e. the performance depends mainly on how fast the GPU or host PC can perform floating-point operations.

Raw data for GeForce GTX 960 - Backslash (single)
Array size
(elements)
Num
Operations
Time
(ms)
GigaFLOPS
1,02423,3810.790.03
4,096180,9070.930.19
16,3841,422,6771.251.14
65,53611,283,1151.348.43
262,14489,871,7014.9518.14
1,048,576717,400,7479.6674.25
4,194,3045,732,914,51723.84240.44
16,777,21645,838,150,31598.34466.14
67,108,864366,604,539,221557.27657.86
(N gigaflops = Nx109 operations per second)

Results for FFT (single)

These results show the performance of the GPU or host PC when calculating the Fast-Fourier-Transform of a vector of complex numbers. The number of operations for a vector of length N is assumed to be 5*N*log2(N).

This calculation is usually memory-bound, i.e. the performance depends mainly on how fast the GPU or host PC can read and write data.

Raw data for GeForce GTX 960 - FFT (single)
Array size
(elements)
Num
Operations
Time
(ms)
GigaFLOPS
1,02451,2000.080.61
4,096245,7600.092.74
16,3841,146,8800.129.53
65,5365,242,8800.1436.84
262,14423,592,9600.3370.49
1,048,576104,857,6001.04100.66
4,194,304461,373,4403.37136.95
16,777,2162,013,265,92012.88156.26
(N gigaflops = Nx109 operations per second)


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