AMD Radeon Vega Frontier Edition Review Powerful OpenCL and Development Platform

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AMD Radeon Vega Frontier Edition Compute Related Benchmarks

The 16GB of HBM2 is undoubtedly a great feature which makes the GPU appropriate for workloads driven primarily by larger problem sizes. We wanted to take a look at the compute performance just to see where it falls in our growing GPU compute performance database.

The next GPUs in our cycle are going to be the NVIDIA RTX and NVIDIA Tesla cards, but we wanted to get some of these numbers out before we discuss those.

Geekbench 4

Geekbench 4 measures the compute performance of your GPU using image processing to computer vision to number crunching.

AMD Radeon Vega Frontier Edition Geekbench
AMD Radeon Vega Frontier Edition Geekbench

While the Vega FE does not have a CUDA score, it does show a good OpenCL score which is slightly higher than the AMD Radeon Pro WX 8200.

LuxMark

LuxMark is an OpenCL benchmark tool based on LuxRender.

AMD Radeon Vega Frontier Edition LuxMark
AMD Radeon Vega Frontier Edition LuxMark

The Vega FE takes the lead here with considerable performance jump over the Radeon Pro WX 8200. The Vega FE easily takes the high score for LuxMark based on OpenCL.

AIDA64 GPGPU

These benchmarks are designed to measure GPGPU computing performance via different OpenCL workloads.

Single-Precision FLOPS: Measures the classic MAD (Multiply-Addition) performance of the GPU, otherwise known as FLOPS (Floating-Point Operations Per Second), with single-precision (32-bit, “float”) floating-point data.

Double-Precision FLOPS: Measures the classic MAD (Multiply-Addition) performance of the GPU, otherwise known as FLOPS (Floating-Point Operations Per Second), with double-precision (64-bit, “double”) floating-point data.

AMD Radeon Vega Frontier Edition AIDA64 GPGPU Part 1
AMD Radeon Vega Frontier Edition AIDA64 GPGPU Part 1

Here single precision GFLOPS are just below what we are seeing from our GTX 1080 Ti and well above the AMD Radeon Pro WX 8200. Again, the AMD Radeon Vega Frontier Edition 16GB card is less expensive than the NVIDIA GTX, and newer NVIDIA RTX cards for this level of performance. In terms of raw double precision performance, the Vega FE is almost double the performance of the GTX 1080 Ti.

The next set of benchmarks from AIDA64 are focused on IOPS.

24-bit Integer IOPS: Measures the classic MAD (Multiply-Addition) performance of the GPU, otherwise known as IOPS (Integer Operations Per Second), with 24-bit integer (“int24”) data.  This particular data type defined in OpenCL on the basis that many GPUs are capable of executing int24 operations via their floating-point units.

32-bit Integer IOPS: Measures the classic MAD (Multiply-Addition) performance of the GPU, otherwise known as IOPS (Integer Operations Per Second), with 32-bit integer (“int”) data.

64-bit Integer IOPS: Measures the classic MAD (Multiply-Addition) performance of the GPU, otherwise known as IOPS (Integer Operations Per Second), with 64-bit integer (“long”) data.  Most GPUs do not have dedicated execution resources for 64-bit integer operations, so instead, they emulate the 64-bit integer operations via existing 32-bit integer execution units.

AMD Radeon Vega Frontier Edition AIDA64 GPGPU Part 2
AMD Radeon Vega Frontier Edition AIDA64 GPGPU Part 2

The Vega FE smashes the 24-bit integer IOPS with impressive results. This is a case where one’s workload will dictate which is the best solution for you.

SPECviewperf 12.1

SPECviewperf 12 measures the 3D graphics performance of systems running under the OpenGL and Direct X application programming interfaces.

AMD Radeon Vega Frontier Edition Viewperf Part 1
AMD Radeon Vega Frontier Edition Viewperf Part 1
AMD Radeon Vega Frontier Edition Viewperf Part 2
AMD Radeon Vega Frontier Edition Viewperf Part 2

As you can see, the performance is solid, and on a current price/ performance basis is extremely competitive. When NVIDIA raised prices on its latest GeForce RTX series, the AMD Radeon Vega FE became a better value.

SPECworkstation 3

We have only started using the new SPECworkstation 3 benchmark, so we do not have a full set of graphics cards to compare. Still, we wanted to provide results for comparison.

AMD Radeon Vega Frontier Edition SPECworkbench GPU Compute Pro Mode
AMD Radeon Vega Frontier Edition SPECworkbench GPU Compute Pro Mode

SPECworkstation 3 output using the Professional Drivers.

AMD Radeon Vega Frontier Edition SPECworkbench GPU Compute Game Mode
AMD Radeon Vega Frontier Edition SPECworkbench GPU Compute Game Mode

SPECworkstation 3 output using the Gaming Drivers.

Graphics related benchmarks

Here we will run the Vega FE through all of our graphics-related benchmarks.

AMD Radeon Vega Frontier Edition Time Spy
AMD Radeon Vega Frontier Edition Time Spy
AMD Radeon Vega Frontier Edition Fire Strike
AMD Radeon Vega Frontier Edition Fire Strike
AMD Radeon Vega Frontier Edition Unigine Superposition
AMD Radeon Vega Frontier Edition Unigine Superposition
AMD Radeon Vega Frontier Edition Unigine Heaven
AMD Radeon Vega Frontier Edition Unigine Heaven
AMD Radeon Vega Frontier Edition Unigine Valley
AMD Radeon Vega Frontier Edition Unigine Valley

The Vega FE is not an actual gaming video card but targeted at professionals who wish to switch between Pro and Gaming modes to test applications and even grab some game time at the end of the day.

Next, we are going to look at power and temperature tests before giving our final thoughts.

3 COMMENTS

  1. You are pretty late with a review of this great GPU

    “AMD Radeon Vega Frontier Edition 16GB Review by Igor Wallossek August 2, 2017 at 6:00 AM ”
    at tomshardware.

    Better late than never…

    We have 3 of them, 1 standard and 2 watercooled.
    For us the biggest features where 10 bits color overlay in OpenCL, 16 GB VRAM and HBCC (we use it for photo and video editing in Resolve and Adobe software.)

  2. newegg had the liquid cooled version for $599 recently. Do you know if there are any pass-thru/sr-iov capability for vmware?

  3. I thought for a moment this is first look at the 7nM Vega.

    I’m starting to think Mi60 must be renamed Mia60 🙁

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