NVIDIA GeForce RTX 4090 Founders Edition Review The GPU

NVIDIA GeForce RTX 4090 FE Compute Benchmarks

It has been several years since we have done a desktop graphics card review. As a result, many of the benchmarks we used before have been updated to newer versions, no longer exist, or require a new license. We wanted to see the progression of the older benchmarks but also update to a more modern test suite.

This is the start of our new 2023 GPU Benchmarks and how we will continue. We do have a few more to include, but these are not ready yet. Still, we wanted to include the results that we could.

Geekbench 5 and 6

Geekbench 5 and 6 measure the compute performance of your GPU using image processing computer vision to number crunching.

Geekbench 6 was just released a few days before penning this review. It does not include CUDA benchmarks which I hope they bring back. Instead, they use OpenCL and Vulkan.

These benchmarks show the three Geforce RTX 4090’s trading blows between Geekbench 5 and 6.

LuxMark

LuxMark is an OpenCL benchmark tool based on LuxRender.

All 3 GPUs are neck and neck in LuxMark.

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.

The next set of benchmarks from AIDA64 are:

• 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.

Again, these cards are neck and neck with a slight lead with the Strix version.

hashcat64

hashcat64 is a password-cracking benchmark that can run many different algorithms. We used the windows version and a simple command of hashcat64 -b. Out of these results, we used five results in the graph.

With HASHCAT64 the TUF takes a slight lead. But all 3 GPUs are very close.

GPUPI

GPUPI calculates the mathematical constant Pi in parallel by using the BPP formula and optimizing it for OpenCL and CUDA-capable devices like graphics cards and main processors.

The NVIDIA GeForce RTX 4090 FE completes this task in 1.525 seconds.

Next, we will look at SPECviewperf 2020 performance tests.