Maxwell Quadro For All: NVIDIA Quadro M2000 Workstation Graphics Card Review

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by Rob Williams on May 5, 2016 in Graphics & Displays

To those who’ve been waiting for a mid-range Maxwell Quadro to come along: your wait is over. To help wrap up its Maxwell-based lineup, NVIDIA’s Quadro team has released the ~$500 M2000. This card is largely targeted at CAD users and those with lighter 3D design needs, and promises to be much more efficient – and faster overall – than its predecessor. We gave the card a thorough test to see just how true that is.

Page 5 – Sandra: Processing, Cryptography, Scientific, Financial & Bandwidth

On the previous page, I mentioned that SPEC is an organization that crafts some of the best benchmarks going, and in a similar vein, I can compliment SiSoftware. This is a company that thrives on offering support for certain technologies before those technologies are even available to the consumer. In that regard, its Sandra benchmark might seem a little bleeding-edge, but at the same time, its tests are established, refined, and really accurate across multiple runs.

For the purposes of a workstation graphics card review, we focus on four main tests: general GPU processing, cryptography, financial analysis, and scientific analysis. Some of these tests produce complex results, so those will be displayed in a table rather than a graph.

SiSoftware Sandra

GPU Processing

Sandra 2015 – GPU Processing
M6000 K5200 K5000 M2000
CUDA: Single-Float 9.13 GPix/s 4.16 GPix/s 2.57 GPix/s 2.48 GPix/s
OpenCL: Single-Float 8.10 GPix/s 3.37 GPix/s 2 GPix/s 2.19 GPix/s
CUDA: Half-Float 9.05 GPix/s 4.13 GPix/s 2.57 GPix/s 2.47 GPix/s
OpenCL: Half-Float 8.2 GPix/s 3.39 GPix/s 2 GPix/s 2.19 GPix/s
CUDA: Double-Float 344.16 MPix/s 272.68 MPix/s 144 MPix/s 92.89 MPix/s
OpenCL: Double-Float 347.83 GPix/s 268.22 MPix/s 140 MPix/s 185.1 MPix/s
CUDA: Quad-Float 12.69 MPix/s 11.54 MPix/s 6 MPix/s 4 MPix/s
OpenCL: Quad-Float 13.59 MPix/s 19.62 MPix/s 5 MPix/s 8.37 MPix/s
Results in pixels-per-second. 1 GPix = 1,000 MPix; 1 MPix = 1,000 kPix.

For both the single- and double-precision tests, the M2000 and K5000 are effective equals, at least where CUDA is concerned. With OpenCL, the M2000 is much faster overall, especially with the double- and quad-precision tests.

Cryptography

NVIDIA Quadro M2000 - Sandra - Cryptography (High)
NVIDIA Quadro M2000 - Sandra - Cryptography (Higher)

It’s clear from these results that NVIDIA has made great strides with the cryptography performance on its Maxwell-based Quadros. The M2000 makes a complete mockery of the K5000 here – a card that has more often than not outperformed the M2000 in our other tests.

Financial Analysis

Sandra 2015 – Financial Analysis (Single Precision)
M6000 K5200 K5000 M2000
CUDA: Black-Scholes 8.14 G/s 3.44 G/s 1.47 G/s 2.12 G/s
OpenCL: Black-Scholes 8.10 G/s 4.49 G/s 1.48 G/s 1.58 G/s
CUDA: Binomial 1.58 M/s 676.64 k/s 381.43 k/s 445.48 k/s
OpenCL: Binomial 1.60 M/s 645.42 k/s 379.64 k/s 375.33 k/s
CUDA: Monte Carlo 3 M/s 1.20 M/s 771.30 k/s 883.6 k/s
OpenCL: Monte Carlo 2.81 M/s 1.18 M/s 689.37 k/s 756.45 k/s
Results in options-per-second. 1 GOPS = 1,000 MOPS; 1 MOPS = 1,000 kOPS.
Sandra 2015 – Financial Analysis (Double Precision)
M6000 K5200 K5000 M2000
CUDA: Black-Scholes 700 M/s 541.32 M/s 286.48 M/s 193.91 M/s
OpenCL: Black-Scholes 691.82 M/s 533.91 M/s 266.76 M/s 235.91 M/s
CUDA: Binomial 70.32 k/s 52.55 k/s 28.75 k/s 19 k/s
OpenCL: Binomial 71.45 k/s 52.93 k/s 28.79 k/s 15.79 k/s
CUDA: Monte Carlo 147.71 k/s 112.53 k/s 58.53 k/s 40 k/s
OpenCL: Monte Carlo 147.79 k/s 112.43 k/s 58.57 k/s 35.86 k/s
Results in options-per-second. 1 GOPS = 1,000 MOPS; 1 MOPS = 1,000 kOPS.

The results are quite cut-and-dried here. The Maxwell-based M2000 dominates the single-precision test, versus the K5000, but it falls short in the double-precision test. Maxwell was released with notably decreased DP performance versus the previous generation Kepler cards, so a result like this isn’t surprising.

Scientific Analysis

Sandra 2015 – Scientific Analysis (Single Precision)
M6000 K5200 K5000 M2000
CUDA: GEMM 3.2 TFLOPS 1.1 TFLOPS 83.2 GFLOPS 951.73 GFLOPS
OpenCL: GEMM 3.6 TFLOPS 1 TFLOPS 374.1 GFLOPS 983.37 GFLOPS
CUDA: FFT 204.3 GFLOPS 80.8 GFLOPS 71.4 GFLOPS 54.77 GFLOPS
OpenCL: FFT 220.7 GFLOPS 97.0 GFLOPS 81 GFLOPS 65.24 GFLOPS
CUDA: NBDY 2.9 TFLOPS 1 TFLOPS 718.3 GFLOPS 915.53 GFLOPS
OpenCL: NBDY 3 TFLOPS 1 TFLOPS 622 GFLOPS 601.82 GFLOPS
Results in floating-point operations-per-second. GEMM = General Matrix Multiply; FFT = Fast Fourier Transform; NBDY = N-Body Simulation.
Sandra 2015 – Scientific Analysis (Double Precision)
M6000 K5200 K5000 M2000
CUDA: GEMM 175.1 GFLOPS 147.8 GFLOPS 10.6 GFLOPS 48.11 GFLOPS
OpenCL: GEMM 174.6 GFLOPS 148.0 GFLOPS 28.2 GFLOPS 49.64 GFLOPS
CUDA: FFT 89.1 GFLOPS 48.7 GFLOPS 18.5 GFLOPS 28 GFLOPS
OpenCL: FFT 120.3 GFLOPS 58.6 GFLOPS 22.5 GFLOPS 36.16 GFLOPS
CUDA: NBDY 103.0 GFLOPS 112.1 GFLOPS 63.3 GFLOPS 38.17 GFLOPS
OpenCL: NBDY 103.6 GFLOPS 111.9 GFLOPS 63.4 GFLOPS 51.18 GFLOPS
Results in floating-point operations-per-second. GEMM = General Matrix Multiply; FFT = Fast Fourier Transform; NBDY = N-Body Simulation.

It looks like we couldn’t finish off our regular performance results without another doozy. Here, the M2000 dramatically outperforms the K5000 in most single-precision and double-precision tests. The newer and higher-end Kepler-based K5200 delivers its own impressive results, although the M6000 chimes in to remind us all that it’s the big dog in NVIDIA’s current Quadro line-up (well, aside from the 24GB variant released last month.)

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Rob Williams

Rob founded Techgage in 2005 to be an 'Advocate of the consumer', focusing on fair reviews and keeping people apprised of news in the tech world. Catering to both enthusiasts and businesses alike; from desktop gaming to professional workstations, and all the supporting software.

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